diff --git a/.github/workflows/clean-cloudflare-page-preview-url-and-r2.yml b/.github/workflows/clean-cloudflare-page-preview-url-and-r2.yml deleted file mode 100644 index 15b759cac..000000000 --- a/.github/workflows/clean-cloudflare-page-preview-url-and-r2.yml +++ /dev/null @@ -1,75 +0,0 @@ -name: "Clean old cloudflare pages preview urls and nightly build" -on: - schedule: - - cron: "0 0 * * *" # every day at 00:00 - workflow_dispatch: - -jobs: - clean-cloudflare-pages-preview-urls: - strategy: - matrix: - project: ["jan", "nitro"] - runs-on: ubuntu-latest - steps: - - uses: actions/setup-python@v4 - with: - python-version: '3.x' - - name: install requests - run: | - python3 -m pip install requests pytz tqdm - - name: Python Inline script - uses: jannekem/run-python-script-action@v1 - with: - script: | - import requests - from datetime import datetime, UTC - from pytz import timezone - from tqdm import tqdm - - # Configuration - endpoint = "https://api.cloudflare.com/client/v4/accounts/${{ secrets.CLOUDFLARE_ACCOUNT_ID }}/pages/projects/${{ matrix.project }}/deployments" - expiration_days = 3 - headers = { - "Content-Type": "application/json;charset=UTF-8", - "Authorization": "Bearer ${{ secrets.CLOUDFLARE_API_TOKEN }}" - } - utc_tz = timezone('UTC') - - # Fetch the list of deployments - response = requests.get(endpoint, headers=headers) - deployments = response.json() - - for deployment in tqdm(deployments['result']): - # Calculate the age of the deployment - created_on = datetime.strptime(deployment['created_on'], "%Y-%m-%dT%H:%M:%S.%fZ").replace(tzinfo=utc_tz) - if (datetime.now(UTC) - created_on).days > expiration_days: - # Delete the deployment - delete_response = requests.delete(f"{endpoint}/{deployment['id']}", headers=headers) - if delete_response.status_code == 200: - print(f"Deleted deployment: {deployment['id']}") - else: - print(f"Failed to delete deployment: {deployment['id']}") - clean-cloudflare-r2: - runs-on: ubuntu-latest - environment: production - steps: - - name: install-aws-cli-action - uses: unfor19/install-aws-cli-action@v1 - - name: Delete object older than 10 days - run: | - # Get the list of objects in the 'latest' folder - OBJECTS=$(aws s3api list-objects --bucket ${{ secrets.CLOUDFLARE_R2_BUCKET_NAME }} --prefix "latest/" --query 'Contents[?LastModified<`'$(date -d "$current_date -10 days" -u +"%Y-%m-%dT%H:%M:%SZ")'`].{Key: Key}' --endpoint-url https://${{ secrets.CLOUDFLARE_ACCOUNT_ID }}.r2.cloudflarestorage.com | jq -c .) - - # Create a JSON file for the delete operation - echo "{\"Objects\": $OBJECTS, \"Quiet\": false}" > delete.json - - # Delete the objects - echo q | aws s3api delete-objects --bucket ${{ secrets.CLOUDFLARE_R2_BUCKET_NAME }} --delete file://delete.json --endpoint-url https://${{ secrets.CLOUDFLARE_ACCOUNT_ID }}.r2.cloudflarestorage.com - - # Remove the JSON file - rm delete.json - env: - AWS_ACCESS_KEY_ID: ${{ secrets.CLOUDFLARE_R2_ACCESS_KEY_ID }} - AWS_SECRET_ACCESS_KEY: ${{ secrets.CLOUDFLARE_R2_SECRET_ACCESS_KEY }} - AWS_DEFAULT_REGION: auto - AWS_EC2_METADATA_DISABLED: "true" diff --git a/.github/workflows/clean-cloudflare-r2.yml b/.github/workflows/clean-cloudflare-r2.yml new file mode 100644 index 000000000..fcab30fc4 --- /dev/null +++ b/.github/workflows/clean-cloudflare-r2.yml @@ -0,0 +1,31 @@ +name: "Clean Cloudflare R2 nightly build artifacts older than 10 days" +on: + schedule: + - cron: "0 0 * * *" # every day at 00:00 + workflow_dispatch: + +jobs: + clean-cloudflare-r2: + runs-on: ubuntu-latest + environment: production + steps: + - name: install-aws-cli-action + uses: unfor19/install-aws-cli-action@v1 + - name: Delete object older than 10 days + run: | + # Get the list of objects in the 'latest' folder + OBJECTS=$(aws s3api list-objects --bucket ${{ secrets.CLOUDFLARE_R2_BUCKET_NAME }} --prefix "latest/" --query 'Contents[?LastModified<`'$(date -d "$current_date -10 days" -u +"%Y-%m-%dT%H:%M:%SZ")'`].{Key: Key}' --endpoint-url https://${{ secrets.CLOUDFLARE_ACCOUNT_ID }}.r2.cloudflarestorage.com | jq -c .) + + # Create a JSON file for the delete operation + echo "{\"Objects\": $OBJECTS, \"Quiet\": false}" > delete.json + + # Delete the objects + echo q | aws s3api delete-objects --bucket ${{ secrets.CLOUDFLARE_R2_BUCKET_NAME }} --delete file://delete.json --endpoint-url https://${{ secrets.CLOUDFLARE_ACCOUNT_ID }}.r2.cloudflarestorage.com + + # Remove the JSON file + rm delete.json + env: + AWS_ACCESS_KEY_ID: ${{ secrets.CLOUDFLARE_R2_ACCESS_KEY_ID }} + AWS_SECRET_ACCESS_KEY: ${{ secrets.CLOUDFLARE_R2_SECRET_ACCESS_KEY }} + AWS_DEFAULT_REGION: auto + AWS_EC2_METADATA_DISABLED: "true" diff --git a/.github/workflows/jan-docs.yml b/.github/workflows/jan-docs.yml deleted file mode 100644 index 8135935bd..000000000 --- a/.github/workflows/jan-docs.yml +++ /dev/null @@ -1,114 +0,0 @@ -name: Jan Docs - -on: - push: - branches: - - main - - dev - - docs - paths: - - 'docs/**' - - '.github/workflows/jan-docs.yml' - pull_request: - branches: - - main - - dev - - docs - paths: - - 'docs/**' - - '.github/workflows/jan-docs.yml' - # Review gh actions docs if you want to further define triggers, paths, etc - # https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#on - -jobs: - deploy: - name: Deploy to GitHub Pages - env: - CLOUDFLARE_PROJECT_NAME: jan - runs-on: ubuntu-latest - permissions: - contents: write - deployments: write - pull-requests: write - steps: - - uses: actions/checkout@v3 - - uses: actions/setup-node@v3 - with: - node-version: 18 - - - name: Install jq - uses: dcarbone/install-jq-action@v2.0.1 - - - name: Fill env vars - run: | - env_example_file=".env.example" - touch .env - while IFS= read -r line || [[ -n "$line" ]]; do - if [[ "$line" == *"="* ]]; then - var_name=$(echo $line | cut -d '=' -f 1) - echo $var_name - var_value="$(jq -r --arg key "$var_name" '.[$key]' <<< "$SECRETS")" - echo "$var_name=$var_value" >> .env - fi - done < "$env_example_file" - working-directory: docs - env: - SECRETS: '${{ toJson(secrets) }}' - - - name: Install dependencies - run: yarn install - working-directory: docs - - name: Build website - run: sed -i '/process.env.DEBUG = namespaces;/c\// process.env.DEBUG = namespaces;' ./node_modules/debug/src/node.js && yarn build - working-directory: docs - - - name: Publish to Cloudflare Pages PR Preview and Staging - if: github.event_name == 'push' && github.ref == 'refs/heads/dev' - uses: cloudflare/pages-action@v1 - with: - apiToken: ${{ secrets.CLOUDFLARE_API_TOKEN }} - accountId: ${{ secrets.CLOUDFLARE_ACCOUNT_ID }} - projectName: ${{ env.CLOUDFLARE_PROJECT_NAME }} - directory: ./docs/build - branch: main - # Optional: Enable this if you want to have GitHub Deployments triggered - gitHubToken: ${{ secrets.GITHUB_TOKEN }} - - - name: Publish to Cloudflare Pages PR Preview and Staging - if: github.event_name == 'pull_request' - uses: cloudflare/pages-action@v1 - with: - apiToken: ${{ secrets.CLOUDFLARE_API_TOKEN }} - accountId: ${{ secrets.CLOUDFLARE_ACCOUNT_ID }} - projectName: ${{ env.CLOUDFLARE_PROJECT_NAME }} - directory: ./docs/build - # Optional: Enable this if you want to have GitHub Deployments triggered - gitHubToken: ${{ secrets.GITHUB_TOKEN }} - id: deployCloudflarePages - - - uses: mshick/add-pr-comment@v2 - if: github.event_name == 'pull_request' - with: - message: | - Preview URL: ${{ steps.deployCloudflarePages.outputs.url }} - - - name: Add Custome Domain file - if: github.event_name == 'push' && github.ref == 'refs/heads/docs' && github.event.pull_request.head.repo.full_name != github.repository - run: echo "${{ vars.DOCUSAURUS_DOMAIN }}" > ./docs/build/CNAME - - # Popular action to deploy to GitHub Pages: - # Docs: https://github.com/peaceiris/actions-gh-pages#%EF%B8%8F-docusaurus - - name: Deploy to GitHub Pages - if: github.event_name == 'push' && github.ref == 'refs/heads/docs' && github.event.pull_request.head.repo.full_name != github.repository - uses: peaceiris/actions-gh-pages@v3 - with: - github_token: ${{ secrets.GITHUB_TOKEN }} - # Build output to publish to the `gh-pages` branch: - publish_dir: ./docs/build - # The following lines assign commit authorship to the official - # GH-Actions bot for deploys to `gh-pages` branch: - # https://github.com/actions/checkout/issues/13#issuecomment-724415212 - # The GH actions bot is used by default if you didn't specify the two fields. - # You can swap them out with your own user credentials. - user_name: github-actions[bot] - user_email: 41898282+github-actions[bot]@users.noreply.github.com \ No newline at end of file diff --git a/docs/.env.example b/docs/.env.example deleted file mode 100644 index 22f6e715f..000000000 --- a/docs/.env.example +++ /dev/null @@ -1,6 +0,0 @@ -GTM_ID=xxxx -UMAMI_PROJECT_API_KEY=xxxx -UMAMI_APP_URL=xxxx -ALGOLIA_API_KEY=xxxx -ALGOLIA_APP_ID=xxxx -GITHUB_ACCESS_TOKEN=xxxx \ No newline at end of file diff --git a/docs/.gitignore b/docs/.gitignore deleted file mode 100644 index b2d6de306..000000000 --- a/docs/.gitignore +++ /dev/null @@ -1,20 +0,0 @@ -# Dependencies -/node_modules - -# Production -/build - -# Generated files -.docusaurus -.cache-loader - -# Misc -.DS_Store -.env.local -.env.development.local -.env.test.local -.env.production.local - -npm-debug.log* -yarn-debug.log* -yarn-error.log* diff --git a/docs/README.md b/docs/README.md deleted file mode 100644 index 02330bc80..000000000 --- a/docs/README.md +++ /dev/null @@ -1,86 +0,0 @@ -# Website & Docs - -This website is built using [Docusaurus 3.0](https://docusaurus.io/), a modern static website generator. - -### Information Architecture - -We try to **keep routes consistent** to maintain SEO. - -- **`/guides/`**: Guides on how to use the Jan application. For end users who are directly using Jan. - -- **`/developer/`**: Developer docs on how to extend Jan. These pages are about what people can build with our software. - -- **`/api-reference/`**: Reference documentation for the Jan API server, written in Swagger/OpenAPI format. - -- **`/changelog/`**: A list of changes made to the Jan application with each release. - -- **`/blog/`**: A blog for the Jan application. - -### Sidebar Autogeneration - -The order of each page is either explicitly defined in `sidebar.js` or follows the [Docusaurus autogenerated](https://docusaurus.io/docs/next/sidebar/autogenerated) naming format, `##-path-name.md`. - -Important slugs are hardcoded at the document level (and shouldn't be rerouted): - -``` ---- -title: Overview -slug: /docs ---- -``` - -## How to Contribute - -Refer to the [Contributing Guide](https://github.com/janhq/jan/blob/dev/CONTRIBUTING.md) for more comprehensive information on how to contribute to the Jan project. - -### Pre-requisites and Installation - -- [Node.js](https://nodejs.org/en/) (version 20.0.0 or higher) -- [yarn](https://yarnpkg.com/) (version 1.22.0 or higher) - -#### Installation - -```bash -cd jan/docs -yarn install -yarn start -``` - -This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server. - -#### Build - -```bash -yarn build -``` - -This command generates static content into the `build` directory and can be served using any static contents hosting service. - -### Deployment - -Using SSH: - -```bash -USE_SSH=true yarn deploy -``` - -Not using SSH: - -```bash -GIT_USER= yarn deploy -``` - -If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the `gh-pages` branch. - -### Preview URL, Pre-release and Publishing Documentation - -- When a pull request is created, the preview URL will be automatically commented on the pull request. - -- The documentation will then be published to [https://dev.jan.ai/](https://dev.jan.ai/) when the pull request is merged to `dev`. - -- Our open-source maintainers will sync the updated content from `dev` to `docs` branch, which will then be published to [https://jan.ai/](https://jan.ai/). - -### Additional Plugins - -- @docusaurus/theme-live-codeblock -- [Redocusaurus](https://redocusaurus.vercel.app/): manually upload swagger files at `/openapi/jan.yaml` to update the API reference documentation. diff --git a/docs/babel.config.js b/docs/babel.config.js deleted file mode 100644 index e00595dae..000000000 --- a/docs/babel.config.js +++ /dev/null @@ -1,3 +0,0 @@ -module.exports = { - presets: [require.resolve('@docusaurus/core/lib/babel/preset')], -}; diff --git a/docs/blog/2024-01-10-bitdefender-false-positive-flag.mdx b/docs/blog/2024-01-10-bitdefender-false-positive-flag.mdx deleted file mode 100644 index 4e6c9b542..000000000 --- a/docs/blog/2024-01-10-bitdefender-false-positive-flag.mdx +++ /dev/null @@ -1,141 +0,0 @@ ---- -title: 'Post Mortem: Bitdefender False Positive Flag' -description: "10th January 2024, Jan's 0.4.4 Release on Windows triggered Bitdefender to incorrectly flag it as infected with Gen:Variant.Tedy.258323, leading to automatic quarantine warnings on users' computers." -slug: /postmortems/january-10-2024-bitdefender-false-positive-flag -tags: [Postmortem] -keywords: - [ - postmortem, - bitdefender, - false positive, - antivirus, - jan, - nitro, - incident, - incident response, - supply chain security, - user communication, - documentation, - antivirus compatibility, - cross-platform testing, - proactive incident response, - user education, - lessons learned, - ] ---- - -Following the recent incident related to Jan version 0.4.4 triggering Bitdefender on Windows with Gen:Variant.Tedy.258323 on January 10, 2024, we wanted to provide a comprehensive postmortem and outline the necessary follow-up actions. - -## Incident Overview - -### Bug Description - -Jan 0.4.4 installation on Windows triggered Bitdefender to flag it as infected with Gen:Variant.Tedy.258323, leading to automatic quarantine. - -### Affected Antivirus - -- McAfee / Microsoft Defender was unaffected -- Bitdefender consistently flagged the issue. - -### Incident Timeline - -- _10 Jan, 2:18 am SGT:_ Hawke flags up Malware antivirus errors for 0.4.4 installation on Windows computers. -- _10 Jan, 2:21 am SGT:_ @0xSage responds in Discord. -- _10 Jan, 2:35 am SGT:_ Hawke confirms multiple people have experienced this error on fresh installs. -- _10 Jan, 2:41 am SGT:_ @louis-jan and @dan-jan revert 0.4.4 out of an abundance of caution. -- _Incident ongoing:_ To triage and investigate the next day. -- _10 Jan, 11:36 am SGT:_ @Hien has investigated all versions of Nitro and conducted scans using Bitdefender. Only the 2 latest versions raised warnings (0.2.7, 0.2.8). -- _10 Jan, 12:44 pm SGT:_ @Hien tested again for the 0.2.6 and suggested using 0.2.6 for now, the 2 remaining Nitro version (0.2.7, 0.2.8) will under further investigation. -- The team started testing on the fixed build. -- _10 Jan, 3:22 pm SGT:_ Diagnosis found that it's most likely a false positive. @Hien has only found a solution by attempting to build Nitro Windows CPU on a GitHub-hosted runner and hasn't identified the root cause yet. -- _10 Jan, 5:24 pm SGT:_ @Hien testing two scenarios and still trying to understand the workings of Bitdefender. -- _11 Jan, 5:46 pm SGT:_ Postmortem meeting - -## Investigation Update - -- @Hien has investigated all versions of Nitro and conducted scans using Bitdefender. and only the 2 latest versions raised warnings from Bitdefender. Nitro 0.2.6, which is the highest version without the issue, was tested again, and it no longer triggers a warning from Bitdefender. -- We have observed that Nitro versions up to 0.2.6 remain unaffected. However, Bitdefender flags versions 0.2.7 and 0.2.8 as infected, leading to the deletion. In order to proceed with the current release, Hien suggests downgrading Nitro to version 0.2.6 and conducting tests with this version. Simultaneously, he will investigate why Bitdefender is flagging versions 0.2.7 and 0.2.8. -- It's essential to note that between versions 0.2.6, 0.2.7, and 0.2.8, only minor changes were made, which should not trigger a malicious code warning. We can refer to the changelog between 0.2.7 and 0.2.8 to pinpoint these changes. -- Our primary message is to convey that we did not introduce malicious code into Jan (indicating a false positive), and the investigation aims to understand the root cause behind Bitdefender flagging versions 0.2.7 and 0.2.8. -- The current diagnosis looks like a false positive but it's still under investigation. Reference link: [here](https://stackoverflow.com/questions/75886428/fake-positive-bit-defender-problem-genvariant-tedy-304469), [here](https://stackoverflow.com/questions/58010466/bitdefender-detects-my-console-application-as-genvariant-ursu-56053), and [here](https://www.cisa.gov/sites/default/files/2023-06/mar-10365227.r1.v1.clear_.pdf). -- @Hien testing two scenarios and still trying to understand the workings of Bitdefender. Still under investigation: is the issue with the code or the CI? - - In Case 1, using the same CI agent for tags 0.2.6 and 0.2.8, after PRs by Alan and myself, Bitdefender flagged the Nitro CPU binary build. Naturally, one would conclude this is due to the code. - - However, I proceeded with a further experiment: for the 0.2.8 code, instead of using our CI agent, I used a GitHub hosted agent. This time, Bitdefender did not flag our binary build. -- We've identified the Bitdefender warning was not an attack. There is no malicious code -- We've isolated the event to originate from a CI agent, which resulted in a BitDefender false positive alert. - -## Follow-ups and Action Items - -1. **Reproduce Bitdefender Flag in Controlled Environment [Done]:** - - - _Objective:_ To replicate the issue in a controlled environment to understand the triggers and specifics of Bitdefender's detection. - -2. **Investigate Malicious Code or False Positive:** - - - _Objective:_ Determine whether the flagged issue is a result of actual malicious code or a false positive. If it's a false positive, work towards resolution while communicating with Bitdefender. - -3. **Supply Chain Attack Assessment:** - - - _Objective:_ Evaluate the possibility of a supply chain attack. Investigate whether the Nitro 0.4.4 distribution was compromised or tampered with during the release process. - -4. **Testing after the Hotfix:** - - - _Objective:_ In addition to verifying the issue after the fix, it is essential to conduct comprehensive testing across related areas, ensuring compatibility across different operating systems and antivirus software (latest version / free version only). - -5. **Process Improvement for Future Releases:** - - - _Objective:_ Identify and implement improvements to our release process to prevent similar incidents in the future. This may include enhanced testing procedures, code analysis, and collaboration with antivirus software providers during the pre-release phase. Additionally, we should add verifying the latest antivirus software in the release checklist. - -6. **Documentation of Tested Antivirus Versions:** - - _Objective:_ Create a document that outlines the testing conducted, including a matrix that correlates Jan versions with the tested antivirus versions. - - _Sample list:_ for consideration purpose - - Bitdefender - - McAfee - - Avira - - Kaspersky - - Norton - - Microsoft defender - - AVG - - TotalAV - -## Next Steps - -- The team should follow up on each action item with clear ownership priority, and deadlines. -- Communicate progress transparently with the community and clients through appropriate channels. If any insights or suggestions, share them within the dedicated channels. -- Update internal documentation and procedures based on the lessons learned from this incident. - -## Lessons Learned - -1. **Antivirus Compatibility Awareness:** - - - _Observation:_ The incident underscored the significance of recognizing and testing for antivirus compatibility, particularly with widely-used solutions like Bitdefender. - - _Lesson Learned:_ In the future, we will integrate comprehensive checks for compatibility with various antivirus software, including both antivirus and "Malicious Code Detection," into our CI or QA checklist. This proactive measure aims to minimize false positive detections during the release and testing processes. - -2. **Cross-Platform Testing:** - - - _Observation:_ The problem did not occur on MacOS and Linux systems, implying a potential oversight in cross-platform testing during our release procedures. - - _Lesson Learned:_ Clarification — This observation is not directly related to antivirus testing. Instead, it underscores the necessity to improve our testing protocols, encompassing multiple operating systems. This ensures a thorough evaluation of potential issues on diverse platforms, considering the various antivirus software and differences in architectures on Mac and Linux systems. - -3. **User Communication and Documentation:** - - - _Observation:_ Due to the timely response from Nicole, who was still active on Discord and Github at 2 am, this quick response facilitated our ability to assess the impact accurately. - - _Lesson Learned:_ While our communication with users was effective in this instance, it was mainly due to Nicole's presence during the incident. To improve our overall response capability, we should prioritize "24/7 rapid triage and response." This involves ensuring continuous availability or establishing a reliable rotation of team members for swift user communication and issue documentation, further enhancing our incident response efficiency. - -4. **Proactive Incident Response:** - - - _Observation:_ The incident response, while involving a prompt version rollback, experienced a slight delay due to the release occurring at midnight. This delay postponed the initiation of the investigation until the next working hours. - - _Lesson Learned:_ Recognizing the importance of swift incident response, particularly in time-sensitive situations, we acknowledge that releasing updates during off-hours can impact the immediacy of our actions. Moving forward, we will strive to optimize our release schedules to minimize delays and ensure that investigations can commence promptly regardless of the time of day. This may involve considering alternative release windows or implementing automated responses to critical incidents, ensuring a more proactive and timely resolution. - -5. **Supply Chain Security Measures:** - - - _Observation:_ While the incident prompted consideration of a potential supply chain attack, it's crucial to emphasize that this was not the case. Nonetheless, the incident underscored the importance of reviewing our supply chain security measures. - - _Lesson Learned:_ Going forward, we should strengthen supply chain security by introducing additional verification steps to uphold the integrity of our release process. Collaborating with distribution channels is essential for enhancing security checks and ensuring a robust supply chain. - - _Longer-term:_ Exploring options for checking Jan for malicious code and incorporating antivirus as part of our CI/CD pipeline should be considered for a more comprehensive and proactive approach. - -6. **User Education on False Positives:** - - _Observation:_ Users reported Bitdefender automatically "disinfecting" the flagged Nitro version without allowing any user actions. - - _Lesson Learned:_ Educate users about the possibility of false positives and guide them on how to whitelist or report such incidents to their antivirus provider (if possible). Provide clear communication on steps users can take in such situations. - -These lessons learned will serve as a foundation for refining our processes and ensuring a more resilient release and incident response framework in the future. Continuous improvement is key to maintaining the reliability and security of our software. - -Thank you for your dedication and cooperation in resolving this matter promptly. diff --git a/docs/blog/2024-03-19-TensorRT-LLM.md b/docs/blog/2024-03-19-TensorRT-LLM.md deleted file mode 100644 index 03afb2179..000000000 --- a/docs/blog/2024-03-19-TensorRT-LLM.md +++ /dev/null @@ -1,145 +0,0 @@ ---- -title: Benchmarking TensorRT-LLM vs. llama.cpp -description: Jan has added support for the TensorRT-LLM Inference Engine, as an alternative to llama.cpp. We provide a performance benchmark that shows the head-to-head comparison of the two Inference Engine and model formats, with TensorRT-LLM providing better performance but consumes significantly more VRAM and RAM. -tags: [Nvidia, TensorRT-LLM, llama.cpp, 3090, 4090, "inference engine"] -unlisted: true ---- - -Jan has added support [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM) as an alternative to the default [llama.cpp](https://github.com/ggerganov/llama.cpp) inference engine. TensorRT-LLM allows Nvidia GPU owners to run blazing fast LLM inference as a hardware-optimized LLM inference engine that compiles models to [run extremely fast on Nvidia GPUs](https://blogs.nvidia.com/blog/tensorrt-llm-windows-stable-diffusion-rtx/). - -You can follow our [TensorRT-LLM Guide](/guides/providers/tensorrt-llm) to try it out today. We've also added a few TensorRT-LLM models to Jan's Model Hub for download: - -- Mistral 7b -- TinyLlama-1.1b -- TinyJensen-1.1b 😂 - -:::tip - -TensorRT-LLM support is available in [v0.4.9](https://github.com/janhq/jan/releases/tag/v0.4.9), but should be considered an experimental feature. - -Please report bugs on [Github](https://github.com/janhq/jan) or on our Discord's [#tensorrt-llm](https://discord.com/channels/1107178041848909847/1201832734704795688) channel. - -::: - -## Performance Benchmarks - - -We were really curious to see how TensorRT-LLM would perform vs. llama.cpp on consumer-grade GPUs. TensorRT-LLM has previously been shown by Nvidia to reach performance of up to [10,000 tokens/s](https://nvidia.github.io/TensorRT-LLM/blogs/H100vsA100.html) on datacenter-grade GPUs. As most of Jan's users are proud card carrying members of the [GPU Poor](https://www.semianalysis.com/p/google-gemini-eats-the-world-gemini#the-gpu-poor), we wanted to see how the two inference engine performed on the same hardware. - -:::info - -An interesting aside: Jan actually started out in June 2023 building on [FastTransformer](https://github.com/NVIDIA/FasterTransformer), the precursor library to TensorRT-LLM. TensorRT-LLM was released in September 2023, making it a very young library. We're excited to see it's roadmap develop! - -::: - -### Test Setup - -We picked 3 hardware platforms to run the test on, based on Jan's userbase's self-reported common hardware platforms. - -| NVIDIA GPU | VRAM Used (GB) | CUDA Cores | Tensor Cores | Memory Bus Width (bit) | Memory Bandwidth (GB/s) | -| ------------------------- | -------------- | ---------- | ------------ | ---------------------- | ----------------------- | -| RTX 4090 Desktop (Ada) | 24 | 16,384 | 512 | 384 | ~1000 | -| RTX 3090 Desktop (Ampere) | 24 | 10,496 | 328 | 384 | 935.8 | -| RTX 4060 Laptop (Ada) | 8 | 3,072 | 96 | 128 | 272 | - -:::warning[Low-spec Machines?] - -We didn't bother including low-spec machines: TensorRT-LLM is meant for performance, and simply doesn't work on lower grade Nvidia GPUs, or computers without GPUs. - -TensorRT-LLM provides blazing fast performance at the cost of [memory usage](https://nvidia.github.io/TensorRT-LLM/memory.html). This means that the performance improvements only show up in higher-range GPUs with larger VRAMs. - -We've found that [llama.cpp](https://github.com/ggerganov/llama.cpp) does an incredible job of democratizing inference to the [GPU Poor](https://www.semianalysis.com/p/google-gemini-eats-the-world-gemini#the-gpu-poor) with CPU-only or lower-range GPUs. Huge shout outs to the [llama.cpp maintainers](https://github.com/ggerganov/llama.cpp/graphs/contributors) and the [ggml.ai](https://ggml.ai/) team. - -::: - -We chose the popular Mistral 7b model to run on both GGUF and TensorRT-LLM, picking comparable quantizations. - -#### llama.cpp Setup -- For llama.cpp, we used `Mistral-7b-q4_k_m` -- [ ] Fill in `ngl` params, GPU offload etc - -#### TensorRT-LLM Setup -- For TensorRT-LLM, we used `Mistral-7b-int4 AWQ` -- We ran TensorRT-LLM with `free_gpu_memory_fraction` to test it with the lowest VRAM consumption (performance may be affected) -- Note: We picked AWQ for TensorRT-LLM as a handicap as AWQ supposedly sacrifices performance for quality - -#### Experiment Setup -We ran the experiment using a standardized inference request in a sandboxed environment on the same machine: -- We ran tests 5 times for each inference engine, on a baremetal PC with no other applications open -- Each inference request was of `batch_size` 1 and `input_len` 2048, `output_len` 512 as a realistic test case -- CPU and Memory usage were obtained from.... Windows Task Manager 😱 -- GPU usage was obtained from `nvtop`, `htop`, and `nvidia-smi` - -## Results - -Our biggest takeaway: TensorRT-LLM is faster than llama.cpp on 4090s and 3090s with larger VRAMs. However, on smaller GPUs (e.g. Laptop 4060 GPUs), - -| | 4090 Desktop | 3090 Desktop | 4060 Laptop | -| ------------ | ------------ | ------------ | ----------- | -| TensorRT-LLM | ✅ 159t/s | ✅ 140.27t/s | ❌ 19t/s | -| llama.cpp | 101.3t/s | 90t/s | 22t/s | - -### RTX-4090 Desktop - -:::info[Hardware Details] - -- CPU: Intel 13th series -- GPU: NVIDIA GPU 4090 (Ampere - sm 86) -- RAM: 32GB -- OS: Windows 11 Pro on Proxmox - -::: - -Nvidia's RTX-4090 is their top-of-the-line consumer GPU, and retails for [approximately $2,000](https://www.amazon.com/rtx-4090/s?k=rtx+4090). - -#### Mistral-7b int4 - -| Metrics | GGUF (using GPU) | TensorRT-LLM | Difference | -| -------------------- | -------------------- | ------------ | -------------- | -| Throughput (token/s) | 101.3 | 159 | ✅ 57% faster | -| VRAM Used (GB) | 5.5 | 6.3 | 🤔 14% more | -| RAM Used (GB) | 0.54 | 0.42 | 🤯 20% less | -| Disk Size (GB) | 4.07 | 3.66 | 🤯 10% smaller | - - -### RTX-3090 Desktop - -:::info[Hardware Details] - -- CPU: Intel 13th series -- GPU: NVIDIA GPU 3090 (Ampere - sm 86) -- RAM: 64GB -- OS: Windows - -::: - -#### Mistral-7b int4 - -| Metrics | GGUF (using GPU) | TensorRT-LLM | Difference | -| -------------------- | -------------------- | ------------ | ------------ | -| Throughput (token/s) | 90 | ✅ 140.27 | ✅ 55% faster | -| VRAM Used (GB) | 6.0 | 6.8 | 🤔 13% more | -| RAM Used (GB) | 0.54 | 0.42 | 🤯 22% less | -| Disk Size (GB) | 4.07 | 3.66 | 🤯 10% less | - -### RTX-4060 Laptop - -- [ ] Dan to re-run perf tests and fill in details - -:::info[Hardware Details] - -- Manufacturer: Acer Nitro 16 Phenix -- CPU: Ryzen 7000 -- RAM: 16GB -- GPU: NVIDIA Laptop GPU 4060 (Ada) - -::: - -#### Mistral-7b int4 - -| Metrics | GGUF (using the GPU) | TensorRT-LLM | Difference | -| -------------------- | -------------------- | ------------ | ---------- | -| Throughput (token/s) | 22 | ❌ 19 | | -| VRAM Used (GB) | 2.1 | 7.7 | | -| RAM Used (GB) | 0.3 | 13.5 | | -| Disk Size (GB) | 4.07 | 4.07 | | \ No newline at end of file diff --git a/docs/blog/authors.yml b/docs/blog/authors.yml deleted file mode 100644 index ec58002e4..000000000 --- a/docs/blog/authors.yml +++ /dev/null @@ -1,76 +0,0 @@ -dan-jan: - name: Daniel Onggunhao - title: Co-Founder - url: https://github.com/dan-jan - image_url: https://avatars.githubusercontent.com/u/101145494?v=4 - email: daniel@jan.ai - -namchuai: - name: Nam Nguyen - title: Developer - url: https://github.com/namchuai - image_url: https://avatars.githubusercontent.com/u/10397206?v=4 - email: james@jan.ai - -hiro-v: - name: Hiro Vuong - title: MLE - url: https://github.com/hiro-v - image_url: https://avatars.githubusercontent.com/u/22463238?v=4 - email: hiro@jan.ai - -ashley-jan: - name: Ashley Tran - title: Product Designer - url: https://github.com/imtuyethan - image_url: https://avatars.githubusercontent.com/u/89722390?v=4 - email: ashley@jan.ai - -hientominh: - name: Hien To - title: DevOps Engineer - url: https://github.com/hientominh - image_url: https://avatars.githubusercontent.com/u/37921427?v=4 - email: hien@jan.ai - -Van-QA: - name: Van Pham - title: QA & Release Manager - url: https://github.com/Van-QA - image_url: https://avatars.githubusercontent.com/u/64197333?v=4 - email: van@jan.ai - -louis-jan: - name: Louis Le - title: Software Engineer - url: https://github.com/louis-jan - image_url: https://avatars.githubusercontent.com/u/133622055?v=4 - email: louis@jan.ai - -hahuyhoang411: - name: Rex Ha - title: LLM Researcher & Content Writer - url: https://github.com/hahuyhoang411 - image_url: https://avatars.githubusercontent.com/u/64120343?v=4 - email: rex@jan.ai - -automaticcat: - name: Alan Dao - title: AI Engineer - url: https://github.com/tikikun - image_url: https://avatars.githubusercontent.com/u/22268502?v=4 - email: alan@jan.ai - -hieu-jan: - name: Henry Ho - title: Software Engineer - url: https://github.com/hieu-jan - image_url: https://avatars.githubusercontent.com/u/150573299?v=4 - email: hieu@jan.ai - -0xsage: - name: Nicole Zhu - title: Co-Founder - url: https://github.com/0xsage - image_url: https://avatars.githubusercontent.com/u/69952136?v=4 - email: nicole@jan.ai diff --git a/docs/docs/about/2035.mdx b/docs/docs/about/2035.mdx deleted file mode 100644 index 3af7a3197..000000000 --- a/docs/docs/about/2035.mdx +++ /dev/null @@ -1,12 +0,0 @@ ---- -title: Jan's Vision for 2035 ---- - -[Jan 2035: A Robotics Company](https://hackmd.io/QIWyYbNNQVWVbupuI3kjAA) - -We only have 2 planning parameters: - -- 10 year vision -- 2 week sprint - -And we measure our success on Quarterly OKRs \ No newline at end of file diff --git a/docs/docs/about/about.md b/docs/docs/about/about.md deleted file mode 100644 index 1e755752c..000000000 --- a/docs/docs/about/about.md +++ /dev/null @@ -1,120 +0,0 @@ ---- -title: About Jan -slug: /about -description: Jan is a desktop application that turns computers into thinking machines. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - about Jan, - desktop application, - thinking machine, - ] ---- - -Jan turns computers into thinking machines to change how we use them. -Jan is created and maintained by Jan Labs, a robotics company. - -With Jan, you can: - -- Run [open-source LLMs](https://huggingface.co/models?pipeline_tag=text-generation) locally or connect to cloud AIs like [ChatGPT](https://openai.com/blog/openai-api) or [Google](https://ai.google.dev/). -- Fine-tune AI with specific knowledge. -- Supercharge your productivity by leveraging AI. -- Search the web and databases. -- Integrate AI with everyday tools to work on your behalf (with permission). -- Customize and add features with Extensions. - -:::tip - -Jan aims for long-term human-robot collaboration, envisioning AI as a harmonious extension of human capabilities. Our goal is to build customizable robots that we continually improve and customize, growing together. - -::: - -![Human repairing a Droid](/img/star-wars-droids.png) - -## Jan’s principles - -- **Ownership**: Jan is committed to developing a product that fully belongs to users. You're the true owner, free from data tracking and storage by us. -- **Privacy**: Jan works locally by default, allowing use without an internet connection. Your data stays on your device in a universal format, giving you complete privacy control. -- **100% User Supported**: Every user can access, develop, and customize Jan's codebases to suit their needs. -- **Rejecting Dark Patterns**: We never use tricks to extract more money or lock you into an ecosystem. - -## Why do we exist? - -> _"I do not fear computers. I fear the lack of them." - Isaac Asimov_ - -Jan was founded on the belief that AI should coexist with humans, not replace them. Our mission is to democratize AI access, ensuring everyone can easily utilize it with full ownership and control over their data, free from privacy concerns. - -### What are the things Jan committed on? - -We are committed to creating open, local-first products that extend individual freedom, rejecting dark patterns and ecosystem lock-ins, and embracing an open-source ethos. - -#### What's different about it? - -| | Status Quo | Jan | -| --------------------- | -------------------------- | ---------------------------------------------------------------------- | -| **Ownership** | Owned by Big Tech | Fully owned by you | -| **Openness** | Closed-source | [Open-source (AGPLv3)](https://github.com/janhq/jan/blob/main/LICENSE) | -| **Your Role** | Consumer | Creator | -| **Approach** | Cloud-based | [Local-first](https://www.inkandswitch.com/local-first/) | -| **Data Handling** | Stored on external servers | Stored locally, openly accessible | -| **Privacy** | Questionable | Private and offline | -| **Transparency** | Opaque "Black Box" | Open-source and customizable | -| **Outage Resilience** | Potential data hostage | Continues to work on your device | -| **Philosophy** | User monetization | Empowerment with the right to repair | - -## How we work - -Jan is an open-source product with transparent development and future features. Users have the right to modify and customize Jan. We are committed to building an open-source AI ecosystem. - -Jan is building in public using GitHub, where anyone is welcome to join. Key resources include Jan's [Kanban](https://github.com/orgs/janhq/projects/5/views/7) and Jan's [Roadmap](https://github.com/orgs/janhq/projects/5/views/29). - -Jan has a fully-remote team, primarily based in the APAC timezone, and we use Discord and GitHub for collaboration. Our community is central to our operations, and we embrace asynchronous work. We hold meetings only for synchronization and vision sharing, using [Excalidraw](https://excalidraw.com/) or [Miro](https://miro.com/) for visualization and sharing notes on Discord for alignment. We also use [HackMD](https://hackmd.io/) to document our ideas and build a Jan library. - -## How to get it? - -You can install and start using Jan in less than 5 minutes, from [Jan.ai](https://jan.ai) or our [Github repo](https://github.com/janhq/jan). - -## What license is the code under? - -Jan is licensed under the [AGPLv3 License](https://github.com/janhq/jan/blob/main/LICENSE). - -We happily accept pull requests, however, we do ask that you sign a [Contributor License Agreement](https://en.wikipedia.org/wiki/Contributor_License_Agreement) so that we have the right to relicense your contributions[^2]. - -## What was it built with? - -[Jan](https://github.com/janhq/jan) is pragmatically built using `Typescript` at the application level and `C++` at the Inference level (which we have refactored into [Nitro](https://nitro.jan.ai)[^3]). - -We follow [clean architecture](https://blog.cleancoder.com/uncle-bob/2012/08/13/the-clean-architecture.html) and currently support multiple frameworks and runtimes: - -- A desktop client with [Electron](https://www.electronjs.org/) -- A headless server-mode with [Nodejs](https://nodejs.org/en) -- Planned support for mobile with [Capacitor](https://capacitorjs.com/) -- Planned support for Python runtime - -Architecturally, we have made similar choices to the [Next.js Enterprise Javascript Stack](https://vercel.com/templates/next.js/nextjs-enterprise-boilerplate), which is a [battle-tested](https://nextjs.org/showcase/enterprise) framework for building enterprise-grade applications that scale. - -## Join the team - -Join us on this journey at Jan Labs, where we embrace open-source collaboration and transparency. Together, let's shape a future where Jan becomes an essential companion in the open-source community. Explore [careers](https://janai.bamboohr.com/careers) with us. - -## Contact - -Drop us a message in our [Discord](https://discord.gg/af6SaTdzpx) and we'll get back to you. - -- `#general`: for general discussion -- `#get-help`: for bug reports and troubleshooting -- `#roadmap`: for feature requests and ideas - -## Footnotes - -[^1]: Credit to Obsidian's original website -[^2]: Credit to [Discourse's About Page](https://www.discourse.org/about) -[^3]: Credit to [Llama.cpp](https://github.com/ggerganov/llama.cpp), [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM), [vLLM](https://github.com/vllm-project/vllm), [LMDeploy](https://github.com/InternLM/lmdeploy) and more. diff --git a/docs/docs/about/assets/solar-punk.webp b/docs/docs/about/assets/solar-punk.webp deleted file mode 100644 index 20829fea4..000000000 Binary files a/docs/docs/about/assets/solar-punk.webp and /dev/null differ diff --git a/docs/docs/about/assets/vision-1.webp b/docs/docs/about/assets/vision-1.webp deleted file mode 100644 index 66e41b543..000000000 Binary files a/docs/docs/about/assets/vision-1.webp and /dev/null differ diff --git a/docs/docs/about/faq.md b/docs/docs/about/faq.md deleted file mode 100644 index 12c08a244..000000000 --- a/docs/docs/about/faq.md +++ /dev/null @@ -1,69 +0,0 @@ ---- -title: Frequently Asked Questions (FAQ) - Jan ---- - -# Frequently Asked Questions (FAQ) - -## What is Jan? - -Jan is software that helps you run large language models (LLMs) on your everyday tasks. For details, read the [About page](https://jan.ai/about/). - -## How do I use Jan? - -Download Jan to your computer, choose a compatible LLM, or connect to a remote AI with the API code to start. You can switch between them as needed. - -## Is Jan compatible with my operating system? - -Jan is available for Mac, Windows, and Linux, ensuring wide compatibility. - -## Do you use my data? - -No. See our data and analytics policy [here](https://jan.ai/privacy/#:~:text=We%20do%20not%20share%20your,with%20a%20better%20user%20experience.). - -## Do you sell my data? - -No. We don't even track your data. Jan is yours. - -## How does Jan ensure my data remains private? - -Jan prioritizes your privacy by running open-source AI models 100% offline on your computer, ensuring all conversations, documents, and files stay private. - -## What does "Jan" stand for? - -Jan stands for “Just Another Neuron”, as we are passionate about building software that complements in your existing neural pathways. But in the spirit of full transparency, it was also just a nice 3 letter domain name we owned 😂. - -## Can I use Jan without an internet connection? - -Yes, Jan can run locally without an internet connection for many features. - -## Are there any costs associated with using Jan? - -Jan is free to use. However, if you want to connect to remote APIs, like GPT-4, you will need to put in your own API key. - -## What types of AI models can I download or import with Jan? - -You can download popular AI models or import any model of your choice through Jan's Hub. - -## How do I customize Jan using the programmable API? - -The API allows you to tailor Jan to your needs, but specific details on usage would require consulting Jan's documentation. - -## How can I contribute to Jan's development or suggest features? - -Contributions can be made through [GitHub](https://github.com/janhq/jan) and [Discord](https://discord.gg/Exe46xPMbK), where you can also suggest features and contribute. - -## How can I get involved with the Jan community? - -Joining [Jan's Discord server](https://discord.gg/qSwXFx6Krr) is a great way to get involved with the community. - -## How do I troubleshoot issues with installing or using Jan? - -For troubleshooting, you should reach out on Discord and check GitHub for assistance and support from the community and the development team. - -## Can I self-host? - -Yes! We love the self-hosted movement. Jan is available as a Helm chart/ Docker composes which can be run across home servers or even production-level environments. - -## Are you hiring? - -We often hire directly from our community. If you are interested in applying, please see our careers page [here](https://janai.bamboohr.com/careers). diff --git a/docs/docs/about/roadmap.md b/docs/docs/about/roadmap.md deleted file mode 100644 index 82b4fa34d..000000000 --- a/docs/docs/about/roadmap.md +++ /dev/null @@ -1,6 +0,0 @@ ---- -title: Roadmap ---- - -- [ ] [Immediate Roadmap on Github](https://github.com/orgs/janhq/projects/5/views/16) -- [ ] [Longer-term Roadmap on Discord](https://discord.gg/Ey62mynnYr) diff --git a/docs/docs/about/vision.md b/docs/docs/about/vision.md deleted file mode 100644 index 7c3ffac63..000000000 --- a/docs/docs/about/vision.md +++ /dev/null @@ -1,74 +0,0 @@ ---- -title: Jan's Vision -slug: /vision -description: Jan is a desktop application that turns computers into thinking machines. -keywords: - [ - Jan AI, - Jan, - ChatGPT alternative, - local AI, - private AI, - conversational AI, - no-subscription fee, - large language model, - about Jan, - desktop application, - thinking machine, - jan vision, - ] ---- - -## Jan's vision is to shape a future where humans and machines collaborate, continuing our legacy as toolmakers - -Throughout history, humanity has thrived by mastering tools, from [controlling fire](https://en.wikipedia.org/wiki/Control_of_fire_by_early_humans) to [inventing the wheel](https://en.wikipedia.org/wiki/Wheel). These leaps weren't just about survival, they were foundational to our civilization. - -Today, we stand on the brink of a new frontier with artificial intelligence. AI is not merely another tool, it represents a new form of collaboration between humans and machines - promising to enhance our creativity, augment our lives, and deepen our understanding of the world. - -![jan ai shapes the future](./assets/vision-1.webp) - -In the future we envision, AI will be as integral to our lives as fire and the wheel once were, with each individual having their own machines/robots. Mastering AI, like mastering fire, will require understanding its potential, respecting its power, and learning to control it for the betterment of humanity. - -### Inspired by Science Fiction, Grounded in Optimism - -Our vision is influenced by the harmonious coexistence of humans and machines in science fiction. From the helpful companionship of [C3PO](https://tr.wikipedia.org/wiki/C-3PO) and [Jarvis](https://en.wikipedia.org/wiki/J.A.R.V.I.S.) to the strategic alliances in [Halo](https://www.imdb.com/title/tt2934286/), these stories showcase a future where technology amplifies human potential. - -### Jan's Role in Shaping the Future - -Jan is our contribution to this future - a tool designed to augment human capabilities, not replace them. We are committed to developing AI that works for humanity, enhancing our creativity, productivity, and well-being. With Jan, we aim to empower individuals and communities to achieve more, together. - -Our vision is not just a dream, it's a blueprint for a future where technology and humanity harmonize to unlock unprecedented possibilities. - -## How we imagine the world in the future - -We are fundamentally optimistic about the future. Jan aligns with the [Solarpunk movement](https://en.wikipedia.org/wiki/Solarpunk), which envisions a world where technology and nature coexist and flourish together. We reject the notion of climate doomerism and instead, focus on the positive impact we can make with AI. - -![solarpunk and jan](./assets/solar-punk.webp) - -Imagine a world where every individual is empowered by their own robots, where machines are not just tools but partners in our journey. This is the future Jan is striving to create. - -Now, let's take a glimpse into this future through a day in the life of Emre, a reflection of how Jan's vision manifests in everyday life. - -## A Day in the Life of Emre in 2050 - -> In 2050, Emre wakes up to the gentle sound of birds chirping, a soothing alarm created by **his own AI robot, Jan**. As he gets ready for the day, **Jan has already prepared** his schedule, factoring in his preferences and the day's weather. -> -> At breakfast, Emre discusses his upcoming project with **Jan, who offers insights and suggestions**, enhancing Emre's creativity. As he heads to work, his self-driving car, **integrated with Jan**, takes the most scenic and efficient route, allowing Emre to enjoy a moment of tranquility. -> -> In the office, Emre collaborates with colleagues from around the globe in a virtual workspace. **Jan assists** by translating languages in real-time and organizing ideas, making collaboration seamless and productive. -> -> During lunch, Emre decides to explore a new hobby. **Jan quickly curates** a list of resources and connects Emre with a virtual mentor, making learning accessible and enjoyable. -> -> In the afternoon, Emre takes a break to connect with nature. His smart garden, **managed by Jan**, is thriving, blending technology with the natural world in perfect harmony. -> -> As the day winds down, Emre reflects on his accomplishments. **With Jan's help**, he's been able to focus on what truly matters, achieving a balance between work, personal growth, and well-being. -> -> In 2050, Jan is more than just a tool, it's an integral part of Emre's life, **augmenting his abilities** and enabling him to live a more fulfilling life. - -What a day, hah! - ---- - -Jan's vision commits to developing thinking machines that work alongside humans - learning, adapting, and contributing to a broader, smarter society. This journey isn't just about technology. It's about creating a future where humans and machines collaborate. - -Let's build the future together - join the journey! diff --git a/docs/docs/acknowledgements.md b/docs/docs/acknowledgements.md deleted file mode 100644 index 0ec3176c0..000000000 --- a/docs/docs/acknowledgements.md +++ /dev/null @@ -1,28 +0,0 @@ ---- -title: Acknowledgements -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -slug: /acknowledgements -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - acknowledgements, - third-party libraries, - ] ---- - -# Acknowledgements - -We would like to express our gratitude to the following third-party libraries that have made the development of Jan possible. - -- [llama.cpp](https://github.com/ggerganov/llama.cpp/blob/master/LICENSE) -- [LangChain.js](https://github.com/langchain-ai/langchainjs/blob/main/LICENSE) -- [TensorRT](https://github.com/NVIDIA/TensorRT/blob/main/LICENSE) -- [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM/blob/main/LICENSE) diff --git a/docs/docs/community/community.mdx b/docs/docs/community/community.mdx deleted file mode 100644 index f4ce0da87..000000000 --- a/docs/docs/community/community.mdx +++ /dev/null @@ -1,52 +0,0 @@ ---- -title: Jan's Community -slug: /community -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - about Jan, - desktop application, - thinking machine, - community, - socials, - ] ---- - -## Socials - -- [Discord](https://discord.gg/SH3DGmUs6b) -- [X](https://twitter.com/janframework) -- [HuggingFace](https://huggingface.co/janhq) -- [LinkedIn](https://www.linkedin.com/company/janframework/) - -## Community Run - -- [Reddit](https://www.reddit.com/r/janframework/) - -## Careers - -- [Jobs](https://janai.bamboohr.com/careers) - -## Newsletter - - diff --git a/docs/docs/developer/01-overview/01-architecture.md b/docs/docs/developer/01-overview/01-architecture.md deleted file mode 100644 index 09fffed69..000000000 --- a/docs/docs/developer/01-overview/01-architecture.md +++ /dev/null @@ -1,53 +0,0 @@ ---- -title: Architecture -slug: /developer/architecture -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - architecture, - ] ---- - -:::warning - -This page is still under construction, and should be read as a scratchpad - -::: - -## Overview - -- Jan has a modular architecture and is largely built on top of its own modules. -- Jan uses a local [file-based approach](/developer/file-based) for data persistence. -- Jan provides an Electron-based [Desktop UI](https://github.com/janhq/jan). -- Jan provides an embeddable inference engine, written in C++, called [Nitro](https://nitro.jan.ai/docs/). - -## Extensions - -Jan has an Extensions API inspired by VSCode. In fact, most of Jan's core services are built as extensions. - -Jan supports the following OpenAI compatible extensions: - -| Jan Module | Description | API Docs | -| ---------- | ------------- | --------------------------------------------- | -| Chat | Inference | [/chats](/api-reference/#tag/Chat-Completion) | -| Models | Models | [/models](/api-reference/#tag/Models) | -| Assistants | Apps | [/assistants](/api-reference/#tag/Assistants) | -| Threads | Conversations | [/threads](/api-reference/#tag/Threads) | -| Messages | Messages | [/messages](/api-reference/#tag/Messages) | - - - -## Modules - -Modules are low level, system services. It is similar to OS kernel modules. Modules provide abstractions to basic, device level functionality like working with the filesystem, device system, databases, AI inference engines, etc. - -Jan follows the [dependency inversion principle](https://en.wikipedia.org/wiki/Dependency_inversion_principle) such that `modules` expose the interfaces that `extensions` can then implement. diff --git a/docs/docs/developer/01-overview/02-file-based.md b/docs/docs/developer/01-overview/02-file-based.md deleted file mode 100644 index 2b0c15a68..000000000 --- a/docs/docs/developer/01-overview/02-file-based.md +++ /dev/null @@ -1,81 +0,0 @@ ---- -title: File-based Approach -slug: /developer/file-based -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - file based approach, - ] ---- - -:::warning - -This page is still under construction, and should be read as a scratchpad - -::: - -Jan use the local filesystem for data persistence, similar to VSCode. This allows for composability and tinkerability. - -```yaml -janroot/ # Jan's root folder (e.g. ~/jan) - models/ # For raw AI models - threads/ # For conversation history - assistants/ # For AI assistants' configs, knowledge, etc. -``` - -```yaml -/models - /modelA - model.json # Default model settings - llama-7b-q4.gguf # Model binaries -/threads - /jan-unixstamp - thread.json # thread metadata (e.g. subject) - messages.jsonl # messages - files/ # RAG -/assistants - /jan # A default assistant that can use all models - assistant.json # Assistant configs (see below) - package.json # Import npm modules, e.g. Langchain, Llamaindex - /src # For custom code - index.js # Entrypoint - # `/threads` at root level - # `/models` at root level - /shakespeare # Example of a custom assistant - assistant.json - package.json - /threads # Assistants remember conversations in the future - /models # Users can upload custom models -``` - -## Data Dependencies - -```mermaid -graph LR - A1[("A User Integrators")] -->|uses| B1[assistant] - B1 -->|persist conversational history| C1[("thread A")] - B1 -->|executes| D1[("built-in tools as module")] - B1 -.->|uses| E1[model] - E1 -.->|model.json| D1 - D1 --> F1[retrieval] - F1 -->|belongs to| G1[("web browsing")] - G1 --> H1[Google] - G1 --> H2[Duckduckgo] - F1 -->|belongs to| I1[("API calling")] - F1 --> J1[("knowledge files")] -``` - -- User/ Integrator -- Assistant object -- Model object -- Thread object -- Built-in tool object diff --git a/docs/docs/developer/01-overview/03-user-interface.md b/docs/docs/developer/01-overview/03-user-interface.md deleted file mode 100644 index 3454b2f61..000000000 --- a/docs/docs/developer/01-overview/03-user-interface.md +++ /dev/null @@ -1,88 +0,0 @@ ---- -title: User Interface -slug: /developer/ui -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - UI kit, - ] ---- - -:::warning - -This page is still under construction, and should be read as a scratchpad - -::: - -Jan provides a UI Kit for customize the UI for your use case. This means you can personalize the entire application according to your own brand and visual styles. - -This page gives you an overview of how to customize the UI. - -You can see some of the user interface components when you first open Jan. - -To Link: - -- Ribbon -- LeftSidebar -- Main -- RightSidebar -- StatusBar - -## Views - -![Jan Views](/img/jan-views.png) -TODO: add a better image. - -### Ribbon - -Assistants shortcuts and Modules settings show up here. - -```js -import .. from "@jan" -sample code here -``` - -### LeftSidebar - -Conversation threads show up here. This is customizable, so custom assistants can add additional menu items here. - -```js -import .. from "@jan" -sample code here -``` - -### Main - -The main view for interacting with assistants. This is customizable, so custom assistants can add in additional UI components. By default, this is a chat thread with assistants. - -```js -import .. from "@jan" -sample code here -``` - -### RightSidebar - -A "settings" view for each thread. Users should be able to edit settings or other configs to customize the assistant experience within each thread. - -```js -import .. from "@jan" -sample code here -``` - -### StatusBar - -A global status bar that shows processes, hardware/disk utilization and more. - -```js -import .. from "@jan" -sample code here -``` diff --git a/docs/docs/developer/01-overview/04-install-and-prerequisites.md b/docs/docs/developer/01-overview/04-install-and-prerequisites.md deleted file mode 100644 index efd7ebe76..000000000 --- a/docs/docs/developer/01-overview/04-install-and-prerequisites.md +++ /dev/null @@ -1,80 +0,0 @@ ---- -title: Installation and Prerequisites -slug: /developer/prereq -description: Guide to install and setup Jan for development. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - installation, - prerequisites, - developer setup, - ] ---- - -## Requirements - -### Hardware Requirements - -Ensure your system meets the following specifications to guarantee a smooth development experience: - -- Hardware Requirements - -### System Requirements - -Make sure your operating system meets the specific requirements for Jan development: - -- [Windows](../../install/windows/#system-requirements) -- [MacOS](../../install/mac/#system-requirements) -- [Linux](../../install/linux/#system-requirements) - -## Prerequisites - -- [Node.js](https://nodejs.org/en/) (version 20.0.0 or higher) -- [yarn](https://yarnpkg.com/) (version 1.22.0 or higher) -- [make](https://www.gnu.org/software/make/) (version 3.81 or higher) - -## Instructions - -1. **Clone the Repository:** - -```bash -git clone https://github.com/janhq/jan -cd jan -git checkout -b DESIRED_BRANCH -``` - -2. **Install Dependencies** - -```bash -yarn install -``` - -3. **Run Development and Use Jan Desktop** - -```bash -make dev -``` - -This command starts the development server and opens the Jan Desktop app. - -## For Production Build - -```bash -# Do steps 1 and 2 in the previous section -# Build the app -make build -``` - -This will build the app MacOS (M1/M2/M3) for production (with code signing already done) and place the result in `/electron/dist` folder. - -## Troubleshooting - -If you run into any issues due to a broken build, please check the [Stuck on a Broken Build](../../troubleshooting/stuck-on-broken-build) guide. diff --git a/docs/docs/developer/01-overview/README.md b/docs/docs/developer/01-overview/README.md deleted file mode 100644 index b73c77aeb..000000000 --- a/docs/docs/developer/01-overview/README.md +++ /dev/null @@ -1,51 +0,0 @@ ---- -title: Overview -slug: /developer -description: Jan Docs | Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -The following docs are aimed at developers who want to build extensions on top of the Jan Framework. - -:::tip -If you are interested to **contribute to the framework's Core SDK itself**, like adding new drivers, runtimes, and infrastructure level support, please refer to [framework docs](/developer/framework) instead. -::: - -## Extensions - -Jan an **extensible framework** (like VSCode or Obsidian) that lets you build, customize and run AI applications everywhere, with an emphasis on local first. - -Extensions are automatically available across Mac, Windows, Linux Desktops. - -Extensions can also be made available in local API server-mode, which can be deployed on any VM. - -### Building Extensions - -This framework is packaged and regularly published as an SDK through [npm](https://www.npmjs.com/org/janhq) and [pip](https://pypi.org/). - -The framework provides built-in support for the following: - -- Native OS integrations with Electron and Chromium -- Native server integrations with Nodejs -- Native mobile integrations with Capacitor (coming soon) - -:::tip -Build once, deploy everywhere -::: - -## Jan in Action - -The [Jan Desktop client](https://github.com/janhq/jan/releases) is built with Jan SDK. This means you can customize any part of the application from the branding to the features, and truly make it your own. - -[Gif: show desktop & server side by side] diff --git a/docs/docs/developer/02-build-assistant/01-your-first-assistant.md b/docs/docs/developer/02-build-assistant/01-your-first-assistant.md deleted file mode 100644 index f96dd2802..000000000 --- a/docs/docs/developer/02-build-assistant/01-your-first-assistant.md +++ /dev/null @@ -1,23 +0,0 @@ ---- -title: Your First Assistant -slug: /developer/assistant/your-first-assistant/ -description: A quick start on how to build an assistant. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - quick start, - build assistant, - ] ---- - -:::caution -This is currently under development. -::: diff --git a/docs/docs/developer/02-build-assistant/02-assistant-anatomy.md b/docs/docs/developer/02-build-assistant/02-assistant-anatomy.md deleted file mode 100644 index 124817372..000000000 --- a/docs/docs/developer/02-build-assistant/02-assistant-anatomy.md +++ /dev/null @@ -1,23 +0,0 @@ ---- -title: Anatomy of an Assistant -slug: /developer/assistant/assistant-anatomy/ -description: An overview of assistant.json -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - build assistant, - assistant anatomy, - ] ---- - -:::caution -This is currently under development. -::: diff --git a/docs/docs/developer/02-build-assistant/03-package-your-assistant.md b/docs/docs/developer/02-build-assistant/03-package-your-assistant.md deleted file mode 100644 index e18bcc5f6..000000000 --- a/docs/docs/developer/02-build-assistant/03-package-your-assistant.md +++ /dev/null @@ -1,23 +0,0 @@ ---- -title: Package your Assistant -slug: /developer/assistant/package-your-assistant/ -description: Package your assistant for sharing and publishing. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - quick start, - build assistant, - ] ---- - -:::caution -This is currently under development. -::: diff --git a/docs/docs/developer/02-build-assistant/README.mdx b/docs/docs/developer/02-build-assistant/README.mdx deleted file mode 100644 index 35944a8cc..000000000 --- a/docs/docs/developer/02-build-assistant/README.mdx +++ /dev/null @@ -1,18 +0,0 @@ ---- -title: Build an Assistant -slug: /developer/assistant -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, Rethink the Computer, local AI, privacy focus, free and open source, private and offline, conversational AI, no-subscription fee, large language models, - build assistant, - ] ---- - -:::caution -This is currently under development. -::: - -import DocCardList from "@theme/DocCardList"; - - diff --git a/docs/docs/developer/03-build-engine/01-your-first-engine.md b/docs/docs/developer/03-build-engine/01-your-first-engine.md deleted file mode 100644 index 2c69b2199..000000000 --- a/docs/docs/developer/03-build-engine/01-your-first-engine.md +++ /dev/null @@ -1,25 +0,0 @@ ---- -title: Your First Engine -slug: /developer/engine/your-first-engine/ -description: A quick start on how to build your first engine -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - quick start, - build engine, - ] ---- - -:::caution -This is currently under development. -::: - -A quickstart on how to integrate tensorrt llm diff --git a/docs/docs/developer/03-build-engine/02-engine-anatomy.md b/docs/docs/developer/03-build-engine/02-engine-anatomy.md deleted file mode 100644 index 5f45339eb..000000000 --- a/docs/docs/developer/03-build-engine/02-engine-anatomy.md +++ /dev/null @@ -1,23 +0,0 @@ ---- -title: Anatomy of an Engine -slug: /developer/engine/engine-anatomy -description: An overview of engine.json -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - build engine, - engine anatomy, - ] ---- - -:::caution -This is currently under development. -::: diff --git a/docs/docs/developer/03-build-engine/03-package-your-engine.md b/docs/docs/developer/03-build-engine/03-package-your-engine.md deleted file mode 100644 index a44807c68..000000000 --- a/docs/docs/developer/03-build-engine/03-package-your-engine.md +++ /dev/null @@ -1,23 +0,0 @@ ---- -title: Package your Engine -slug: /developer/engine/package-your-engine/ -description: Package your engine for sharing and publishing. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - build engine, - engine anatomy, - ] ---- - -:::caution -This is currently under development. -::: diff --git a/docs/docs/developer/03-build-engine/README.mdx b/docs/docs/developer/03-build-engine/README.mdx deleted file mode 100644 index e4c5980e0..000000000 --- a/docs/docs/developer/03-build-engine/README.mdx +++ /dev/null @@ -1,26 +0,0 @@ ---- -title: Build an Inference Engine -slug: /developer/engine/ -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - build assistant, - ] ---- - -:::caution -This is currently under development. -::: - -import DocCardList from "@theme/DocCardList"; - - diff --git a/docs/docs/developer/03-build-engine/asset/plugin.png b/docs/docs/developer/03-build-engine/asset/plugin.png deleted file mode 100644 index f5f032e0d..000000000 Binary files a/docs/docs/developer/03-build-engine/asset/plugin.png and /dev/null differ diff --git a/docs/docs/developer/04-build-extension/01-your-first-extension.md b/docs/docs/developer/04-build-extension/01-your-first-extension.md deleted file mode 100644 index 4dd413ca6..000000000 --- a/docs/docs/developer/04-build-extension/01-your-first-extension.md +++ /dev/null @@ -1,89 +0,0 @@ ---- -title: Your First Extension -slug: /developer/extension/your-first-extension/ -description: A quick start on how to build your first extension -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - quick start, - build extension, - ] ---- - -:::caution -This is currently under development. -::: - -In this guide, we'll walk you through the process of building your first extension and integrating it into Jan. - -## Steps to Create Your First Extension - -To create your own extension, you can follow the steps below: - -1. Click the **Use this template** button at the top of the [extension-template repository](https://github.com/janhq/extension-template). -2. Select **Create a new repository**. -3. Choose an owner and name for your new repository. -4. Click **Create repository**. -5. Clone your new repository to your local machine. - -## Initial Setup - -After you have cloned the repository to your local machine or codespace, you will need to perform some initial setup steps before you can develop your extension. - -:::info - -You will need to have a reasonably modern version of [Node.js](https://nodejs.org) handy. If you are using a version manager like [`nodenv`](https://github.com/nodenv/nodenv) or [`nvm`](https://github.com/nvm-sh/nvm), you can run `nodenv install` in the root of your repository to install the version specified in -[`package.json`](https://github.com/janhq/extension-template/blob/main/package.json). Otherwise, 20.x or later should work! - -::: - -1. :hammer_and_wrench: Install the dependencies - -```bash -npm install -``` - -2. :building_construction: Package the TypeScript for distribution - -```bash -npm run bundle -``` - -3. :white_check_mark: Check your artifact - -There will be a `.tgz` file in your extension directory now. This is the file you will need to import into Jan. You can import this file into Jan by following the instructions in the [Import Extension](https://jan.ai/guides/using-extensions/import-extensions/) guide. - -## Update the Extension Metadata - -The [`package.json`](https://github.com/janhq/extension-template/blob/main/package.json) file defines metadata about your extension, such as extension name, main entry, description and version. - -When you copy this repository, update `package.json` with the name, and description for your extension. - -## Update the Extension Code - -The [`src/`](https://github.com/janhq/extension-template/tree/main/src) directory is the heart of your extension! This contains the source code that will be run when your extension extension functions are invoked. You can replace the contents of this directory with your own code. - -There are a few things to keep in mind when writing your extension code: - -- Most Jan Extension functions are processed asynchronously. - In `index.ts`, you will see that the extension function will return a `Promise`. - - ```typescript - import { core } from '@janhq/core' - - function onStart(): Promise { - return core.invokePluginFunc(MODULE_PATH, 'run', 0) - } - ``` - -For more information about the Jan Extension Core module, see the [documentation](https://github.com/janhq/jan/blob/main/core/README.md). - -Now, go ahead and start customizing your extension! Happy coding! diff --git a/docs/docs/developer/04-build-extension/02-extension-anatomy.md b/docs/docs/developer/04-build-extension/02-extension-anatomy.md deleted file mode 100644 index b41f1f0f4..000000000 --- a/docs/docs/developer/04-build-extension/02-extension-anatomy.md +++ /dev/null @@ -1,23 +0,0 @@ ---- -title: Anatomy of an Extension -slug: /developer/extension/extension-anatomy -description: An overview of extensions.json -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - build extension, - extension anatomy, - ] ---- - -:::caution -This is currently under development. -::: diff --git a/docs/docs/developer/04-build-extension/03-package-your-extension.md b/docs/docs/developer/04-build-extension/03-package-your-extension.md deleted file mode 100644 index a4c894695..000000000 --- a/docs/docs/developer/04-build-extension/03-package-your-extension.md +++ /dev/null @@ -1,23 +0,0 @@ ---- -title: Package your Engine -slug: /developer/extension/package-your-extension/ -description: Package your extension for sharing and publishing. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - build extension, - extension anatomy, - ] ---- - -:::caution -This is currently under development. -::: diff --git a/docs/docs/developer/04-build-extension/README.mdx b/docs/docs/developer/04-build-extension/README.mdx deleted file mode 100644 index ce7fce5b2..000000000 --- a/docs/docs/developer/04-build-extension/README.mdx +++ /dev/null @@ -1,18 +0,0 @@ ---- -title: Build an Extension -slug: /developer/extension/ -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, Rethink the Computer, local AI, privacy focus, free and open source, private and offline, conversational AI, no-subscription fee, large language models, - build extension, - ] ---- - -:::caution -This is currently under development. -::: - -import DocCardList from "@theme/DocCardList"; - - diff --git a/docs/docs/developer/05-framework/03-engineering/README.mdx b/docs/docs/developer/05-framework/03-engineering/README.mdx deleted file mode 100644 index 18c3904a4..000000000 --- a/docs/docs/developer/05-framework/03-engineering/README.mdx +++ /dev/null @@ -1,25 +0,0 @@ ---- -title: Engineering Specs -slug: /developer/engineering -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - spec, - engineering, - ] ---- - -import DocCardList from "@theme/DocCardList"; - - - -Talk about CoreSDK here diff --git a/docs/docs/developer/05-framework/03-engineering/assistants.md b/docs/docs/developer/05-framework/03-engineering/assistants.md deleted file mode 100644 index 2a2dc2681..000000000 --- a/docs/docs/developer/05-framework/03-engineering/assistants.md +++ /dev/null @@ -1,120 +0,0 @@ ---- -title: 'Assistants' -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -:::caution - -This is currently under development. - -::: - -## Overview - -In Jan, assistants are `primary` entities with the following capabilities: - -- Assistants can use `models`, `tools`, handle and emit `events`, and invoke `custom code`. -- Users can create custom assistants with saved `model` settings and parameters. -- An [OpenAI Assistants API](https://platform.openai.com/docs/api-reference/assistants) compatible endpoint at `localhost:1337/v1/assistants`. -- Jan ships with a default assistant called "Jan" that lets you use all models. - -## Folder Structure - -```yaml -/jan - /models/ - /threads/ - /assistants - /jan # An assistant available to you by default - assistant.json # See below - /src # Assistants can invoke custom code - index.js # Entrypoint - process.js # For server processes (needs better name) - package.json # Import any npm libraries, e.g. Langchain, Llamaindex - /shakespeare # You can create custom assistants - assistant.json - /chicken_man -``` - -## `assistant.json` - -- Each `assistant` folder contains an `assistant.json` file, which is a representation of an assistant. -- `assistant.json` contains metadata and model parameter overrides -- There are no required fields. - -```js -{ - "id": "asst_abc123", // Defaults to foldername - "object": "assistant", // Always "assistant" - "version": 1, // Defaults to 1 - "created_at": 1698984975, - "name": "Math Tutor", // Defaults to foldername - "description": null, - "avatar": "https://pic.png", - "models": [ // Defaults to "*" all models - { ...model_0 } - ], - "instructions": "Be concise", // A system prompt for the assistant - "events": [], // Defaults to "*" - "metadata": {}, // Defaults to {} - // "tools": [], // Coming soon - // "file_ids": [], // Coming soon - // "memory/threads": true, // Coming soon -} -``` - -### Examples - -Here's what the default Jan assistant's json file looks like: - -```js -{ - "name": "Jan", - "description": "A global assistant that lets you chat with all downloaded models", - "avatar": "https://jan.ai/img/logo.svg", - // All other properties are not explicitly declared and use the default values (see above). -} -``` - -## Events - -Jan assistants can respond to event hooks. More powerfully, Jan assistants can register their own pubsub, so other entities, like other assistants can respond to your assistants events. - -## Custom Code - -Jan assistants are Turing complete. This means you can write freeform code, and use any dependencies, when customizing your assistant. - -```typescript -import {events, models} from "@janhq/core" -import {retrieval} from "@hiro/best-rag-ever" // This can be featured on Jan hub but install from npm - -events.on('assistant:asst_abc123', (event) => async { - const result = models[0].process(event) - events.emit("assistant:asst_abc123", result) - resolve() -}) -``` - -## Tools - -> Coming soon - -## Functions - -> Coming soon - -## Files - -> Coming soon diff --git a/docs/docs/developer/05-framework/03-engineering/chats.md b/docs/docs/developer/05-framework/03-engineering/chats.md deleted file mode 100644 index b13240e63..000000000 --- a/docs/docs/developer/05-framework/03-engineering/chats.md +++ /dev/null @@ -1,43 +0,0 @@ ---- -title: Chats -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -:::caution - -This is currently under development. - -::: - -## Overview - -In Jan, `chats` are LLM responses in the form of OpenAI compatible `chat completion objects`. - -- Models take a list of messages and return a model-generated response as output. -- An [OpenAI Chat API](https://platform.openai.com/docs/api-reference/chat) compatible endpoint at `localhost:1337/v1/chats`. - -## Folder Structure - -Chats are stateless, thus are not saved in `janroot`. Any content and relevant metadata from calling this endpoint is extracted and persisted through [Messages](/docs/engineering/messages). - -## API Reference - -Jan's Chat API is compatible with [OpenAI's Chat API](https://platform.openai.com/docs/api-reference/chat). - -See [Jan Chat API](https://jan.ai/api-reference/#tag/Chat-Completion) - -## Implementation - -Under the hood, the `/chat` endpoint simply reroutes an existing endpoint from [Nitro server](https://nitro.jan.ai). Nitro is a lightweight & local inference server, written in C++ and embedded into the Jan app. See [Nitro documentation](https://nitro.jan.ai/docs). diff --git a/docs/docs/developer/05-framework/03-engineering/engine.md b/docs/docs/developer/05-framework/03-engineering/engine.md deleted file mode 100644 index 653576f1b..000000000 --- a/docs/docs/developer/05-framework/03-engineering/engine.md +++ /dev/null @@ -1,59 +0,0 @@ ---- -title: Engine ---- - -:::caution - -Currently Under Development - -::: - -## Overview - -In the Jan application, engines serve as primary entities with the following capabilities: - -- Engine will be installed through `inference-extensions`. -- Models will depend on engines to do [inference](https://en.wikipedia.org/wiki/Inference_engine). -- Engine configuration and required metadata will be stored in a json file. - -## Folder Structure - -- Default parameters for engines are stored in JSON files located in the `/engines` folder. -- These parameter files are named uniquely with `engine_id`. -- Engines are referenced directly using `engine_id` in the `model.json` file. - -```yaml -jan/ -engines/ -nitro.json -openai.json -..... -``` - -## Engine Default Parameter Files - -- Each inference engine requires default parameters to function in cases where user-provided parameters are absent. -- These parameters are stored in JSON files, structured as simple key-value pairs. - -### Example - -Here is an example of an engine file for `engine_id` `nitro`: - -```js -{ - "ctx_len": 512, - "ngl": 100, - "embedding": false, - "n_parallel": 1, - "cont_batching": false - "prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant" -} -``` - -For detailed engine parameters, refer to: [Nitro's Model Settings](https://nitro.jan.ai/features/load-unload#table-of-parameters) - -## Adding an Engine - -- Engine parameter files are automatically generated upon installing an `inference-extension` in the Jan application. - ---- diff --git a/docs/docs/developer/05-framework/03-engineering/files.md b/docs/docs/developer/05-framework/03-engineering/files.md deleted file mode 100644 index 950d8729f..000000000 --- a/docs/docs/developer/05-framework/03-engineering/files.md +++ /dev/null @@ -1,81 +0,0 @@ ---- -title: 'Files' -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -:::warning - -Draft Specification: functionality has not been implemented yet. - -::: - -Files can be used by `threads`, `assistants` and `fine-tuning` - -> Equivalent to: https://platform.openai.com/docs/api-reference/files - -## Files Object - -- Equivalent to: https://platform.openai.com/docs/api-reference/files -- Note: OAI's struct doesn't seem very well designed -- `files.json` - -```js -{ - // Public properties (OpenAI Compatible: https://platform.openai.com/docs/api-reference/files/object) - "id": "file-BK7bzQj3FfZFXr7DbL6xJwfo", - "object": "file", - "bytes": 120000, - "created_at": 1677610602, - "filename": "salesOverview.pdf", - "purpose": "assistants" -} -``` - -## File API - -### List Files - -> OpenAI Equivalent: https://platform.openai.com/docs/api-reference/files/list - -### Upload file - -> OpenAI Equivalent: https://platform.openai.com/docs/api-reference/files/create - -### Delete file - -> OpenAI Equivalent: https://platform.openai.com/docs/api-reference/files/delete - -### Retrieve file - -> OpenAI Equivalent: https://platform.openai.com/docs/api-reference/files/retrieve - -### Retrieve file content - -> OpenAI Equivalent: https://platform.openai.com/docs/api-reference/files/retrieve-contents - -## Files Filesystem - -- Files can exist in several parts of Jan's filesystem -- TODO: are files hard copied into these folders? Or do we define a `files.json` and only record the relative filepath? - -```sh -/files # root `/files` for finetuning, etc -/assistants - /jan - /files # assistant-specific files -/threads - /jan-12938912 - /files # thread-specific files -``` diff --git a/docs/docs/developer/05-framework/03-engineering/fine-tuning.md b/docs/docs/developer/05-framework/03-engineering/fine-tuning.md deleted file mode 100644 index dac7cf54a..000000000 --- a/docs/docs/developer/05-framework/03-engineering/fine-tuning.md +++ /dev/null @@ -1,18 +0,0 @@ ---- -title: 'Fine-tuning' -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -Todo: @hiro diff --git a/docs/docs/developer/05-framework/03-engineering/messages.md b/docs/docs/developer/05-framework/03-engineering/messages.md deleted file mode 100644 index 37cd061c5..000000000 --- a/docs/docs/developer/05-framework/03-engineering/messages.md +++ /dev/null @@ -1,102 +0,0 @@ ---- -title: Messages -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -:::caution - -This is currently under development. - -::: - -## Overview - -`Messages` capture a conversation's content. This can include the content from LLM responses and other metadata from [chat completions](/specs/chats). - -- Users and assistants can send multimedia messages. -- An [OpenAI Message API](https://platform.openai.com/docs/api-reference/messages) compatible endpoint at `localhost:1337/v1/messages`. - -## Folder Structure - -Messages are saved in the `/threads/{thread_id}` folder in `messages.jsonl` files - -```yaml -jan/ - threads/ - assistant_name_unix_timestamp/ - thread.json # Thread metadata - messages.jsonl # Messages are stored in jsonl format -``` - -## `message.jsonl` - -Individual messages are saved in `jsonl` format for indexing purposes. - -```js -{...message_2} -{...message_1} -{...message_0} -``` - -### Examples - -Here's a standard example `message` sent from a user. - -```js -"id": "0", // Sequential or UUID -"object": "thread.message", // Defaults to "thread.message" -"created_at": 1698983503, -"thread_id": "thread_asdf", // Defaults to parent thread -"assistant_id": "jan", // Defaults to parent thread -"role": "user", // From either "user" or "assistant" -"content": [ - { - "type": "text", - "text": { - "value": "Hi!?", - "annotations": [] - } - } -], -"metadata": {}, // Defaults to {} -``` - -Here's an example `message` response from an assistant. - -```js -"id": "0", // Sequential or UUID -"object": "thread.message", // Defaults to "thread.message" -"created_at": 1698983503, -"thread_id": "thread_asdf", // Defaults to parent thread -"assistant_id": "jan", // Defaults to parent thread -"role": "assistant", // From either "user" or "assistant" -"content": [ // Usually from Chat Completion obj - { - "type": "text", - "text": { - "value": "Hi! How can I help you today?", - "annotations": [] - } - } -], -"metadata": {}, // Defaults to {} -"usage": {} // Save chat completion properties https://platform.openai.com/docs/api-reference/chat/object -``` - -## API Reference - -Jan's `messages` API is compatible with [OpenAI's Messages API](https://platform.openai.com/docs/api-reference/messages), with additional methods for managing messages locally. - -See [Jan Messages API](https://jan.ai/api-reference#tag/Messages). diff --git a/docs/docs/developer/05-framework/03-engineering/models.md b/docs/docs/developer/05-framework/03-engineering/models.md deleted file mode 100644 index 4895954d7..000000000 --- a/docs/docs/developer/05-framework/03-engineering/models.md +++ /dev/null @@ -1,129 +0,0 @@ ---- -title: Models -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -:::caution - -This is currently under development. - -::: - -## Overview - -In Jan, models are primary entities with the following capabilities: - -- Users can import, configure, and run models locally. -- An [OpenAI Model API](https://platform.openai.com/docs/api-reference/models) compatible endpoint at `localhost:1337/v1/models`. -- Supported model formats: `ggufv3`, and more. - -## Folder Structure - -- Models are stored in the `/models` folder. -- Models are organized by individual folders, each containing the binaries and configurations needed to run the model. This makes for easy packaging and sharing. -- Model folder names are unique and used as `model_id` default values. - -```yaml -jan/ # Jan root folder - models/ - llama2-70b-q4_k_m/ # Example: standard GGUF model - model.json - model-binary-1.gguf - mistral-7b-gguf-q3_k_l/ # Example: quantizations are separate folders - model.json - mistral-7b-q3-K-L.gguf - mistral-7b-gguf-q8_k_m/ # Example: quantizations are separate folders - model.json - mistral-7b-q8_k_k.gguf - llava-ggml-Q5/ # Example: model with many partitions - model.json - mmprj.bin - model_q5.ggml -``` - -## `model.json` - -- Each `model` folder contains a `model.json` file, which is a representation of a model. -- `model.json` contains metadata and default parameters used to run a model. - -### Example - -Here's a standard example `model.json` for a GGUF model. - -```js -{ - "id": "zephyr-7b", // Defaults to foldername - "object": "model", // Defaults to "model" - "sources": [ - { - "filename": "zephyr-7b-beta.Q4_K_M.gguf", - "url": "https://huggingface.co/TheBloke/zephyr-7B-beta-GGUF/blob/main/zephyr-7b-beta.Q4_K_M.gguf" - } - ], - "name": "Zephyr 7B", // Defaults to foldername - "owned_by": "you", // Defaults to "you" - "version": "1", // Defaults to 1 - "created": 1231231, // Defaults to file creation time - "description": null, // Defaults to null - "format": "ggufv3", // Defaults to "ggufv3" - "engine": "nitro", // engine_id specified in jan/engine folder - "engine_parameters": { - // Engine parameters inside model.json can override - "ctx_len": 4096, // the value inside the base engine.json - "ngl": 100, - "embedding": true, - "n_parallel": 4 - }, - "model_parameters": { - // Models are called parameters - "stream": true, - "max_tokens": 4096, - "stop": [""], // This usually can be left blank, only used with specific need from model author - "frequency_penalty": 0, - "presence_penalty": 0, - "temperature": 0.7, - "top_p": 0.95 - }, - "metadata": {}, // Defaults to {} - "assets": [ - // Defaults to current dir - "file://.../zephyr-7b-q4_k_m.bin" - ] -} -``` - -The engine parameters in the example can be found at: [Nitro's model settings](https://nitro.jan.ai/features/load-unload#table-of-parameters) - -The model parameters in the example can be found at: [Nitro's model parameters](https://nitro.jan.ai/api-reference#tag/Chat-Completion) - -## API Reference - -Jan's Model API is compatible with [OpenAI's Models API](https://platform.openai.com/docs/api-reference/models), with additional methods for managing and running models locally. - -See [Jan Models API](https://jan.ai/api-reference#tag/Models). - -## Importing Models - -:::caution - -This is currently under development. - -::: - -You can import a model by dragging the model binary or gguf file into the `/models` folder. - -- Jan automatically generates a corresponding `model.json` file based on the binary filename. -- Jan automatically organizes it into its own `/models/model-id` folder. -- Jan automatically populates the `model.json` properties, which you can subsequently modify. diff --git a/docs/docs/developer/05-framework/03-engineering/prompts.md b/docs/docs/developer/05-framework/03-engineering/prompts.md deleted file mode 100644 index 5897309d1..000000000 --- a/docs/docs/developer/05-framework/03-engineering/prompts.md +++ /dev/null @@ -1,20 +0,0 @@ ---- -title: Prompts -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -- [ ] /prompts folder -- [ ] How to add to prompts -- [ ] Assistants can have suggested Prompts diff --git a/docs/docs/developer/05-framework/03-engineering/threads.md b/docs/docs/developer/05-framework/03-engineering/threads.md deleted file mode 100644 index 161b93948..000000000 --- a/docs/docs/developer/05-framework/03-engineering/threads.md +++ /dev/null @@ -1,78 +0,0 @@ ---- -title: Threads -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -:::caution - -This is currently under development. - -::: - -## Overview - -`Threads` are conversations between an `assistant` and the user: - -- Users can tweak `model` params and `assistant` behavior within each thread. -- Users can import and export threads. -- An [OpenAI Thread API](https://platform.openai.com/docs/api-reference/threads) compatible endpoint at `localhost:1337/v1/threads`. - -## Folder Structure - -- Threads are saved in the `/threads` folder. -- Threads are organized by folders, one for each thread, and can be easily zipped, exported, and cleared. -- Thread folders follow the naming: `assistant_id` + `thread_created_at`. -- Thread folders also contain `messages.jsonl` files. See [messages](/docs/engineering/messages). - -```yaml -janroot/ - threads/ - assistant_name_unix_timestamp/ # Thread `ID` - thread.json -``` - -## `thread.json` - -- Each `thread` folder contains a `thread.json` file, which is a representation of a thread. -- `thread.json` contains metadata and model parameter overrides. -- There are no required fields. - -### Example - -Here's a standard example `thread.json` for a conversation between the user and the default Jan assistant. - -```js -"id": "thread_....", // Defaults to foldername -"object": "thread", // Defaults to "thread" -"title": "funny physics joke", // Defaults to "" -"assistants": [ - { - "assistant_id": "jan", // Defaults to "jan" - "model": { // Defaults to the currently active model (can be changed before thread is begun) - "id": "...", - "settings": {}, // Defaults to and overrides assistant.json's "settings" (and if none, then model.json "settings") - "parameters": {}, // Defaults to and overrides assistant.json's "parameters" (and if none, then model.json "parameters") - } - }, -], -"created": 1231231 // Defaults to file creation time -"metadata": {}, // Defaults to {} -``` - -## API Reference - -Jan's Threads API is compatible with [OpenAI's Threads API](https://platform.openai.com/docs/api-reference/threads), with additional methods for managing threads locally. - -See [Jan Threads API](https://jan.ai/api-reference#tag/Threads). diff --git a/docs/docs/developer/05-framework/03-product/README.mdx b/docs/docs/developer/05-framework/03-product/README.mdx deleted file mode 100644 index 5b3f35f5d..000000000 --- a/docs/docs/developer/05-framework/03-product/README.mdx +++ /dev/null @@ -1,23 +0,0 @@ ---- -title: Product Specs -slug: /developer/product -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - spec, - product, - ] ---- - -import DocCardList from "@theme/DocCardList"; - - diff --git a/docs/docs/developer/05-framework/03-product/chat.md b/docs/docs/developer/05-framework/03-product/chat.md deleted file mode 100644 index fdd87644b..000000000 --- a/docs/docs/developer/05-framework/03-product/chat.md +++ /dev/null @@ -1,29 +0,0 @@ ---- -title: Chat -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -## Overview - -A home screen for users to chat with [assistants](/docs/engineering/assistants) via conversation [threads](/docs/engineering/threads). - -![alt text](../img/chat-screen.png) - -## User Stories - - - -- Users can chat with `Jan` the default assistant -- Users can customize chat settings like model parameters via both the GUI & `thread.json` diff --git a/docs/docs/developer/05-framework/03-product/hub.md b/docs/docs/developer/05-framework/03-product/hub.md deleted file mode 100644 index ebbb24fd7..000000000 --- a/docs/docs/developer/05-framework/03-product/hub.md +++ /dev/null @@ -1,30 +0,0 @@ ---- -title: Hub -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -## Overview - -The Hub is like a store for everything, where users can discover and download models, assistants, and more. - -![alt text](../img/hub-screen.png) - -## User Stories - - - -- Users can discover recommended models (Jan ships with a few preconfigured `model.json` files) -- Users can download models suitable for their devices, e.g. compatible with their RAM -- Users can download models via a HuggingFace URL (coming soon) diff --git a/docs/docs/developer/05-framework/03-product/jan.md b/docs/docs/developer/05-framework/03-product/jan.md deleted file mode 100644 index f42e4643a..000000000 --- a/docs/docs/developer/05-framework/03-product/jan.md +++ /dev/null @@ -1,28 +0,0 @@ ---- -title: Jan (The Default Assistant) -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -Jan ships with a default assistant "Jan" that lets users chat with any open source model out-of-the-box. - -This assistant is defined in `/jan`. It is a generic assistant to illustrate power of Jan. In the future, it will support additional features e.g. multi-assistant conversations - -- Your Assistant "Jan" lets you pick any model that is in the root /models folder -- Right panel: pick LLM model and set model parameters -- Jan’s threads will be at root level -- `model.json` will reflect model chosen for that session -- Be able to “add” other assistants in the future -- Jan’s files will be at thread level -- Jan is not a persistent memory assistant diff --git a/docs/docs/developer/05-framework/03-product/settings.md b/docs/docs/developer/05-framework/03-product/settings.md deleted file mode 100644 index 327fa5c97..000000000 --- a/docs/docs/developer/05-framework/03-product/settings.md +++ /dev/null @@ -1,44 +0,0 @@ ---- -title: Settings -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -## Overview - -A settings page for users to add extensions, configure model settings, change app appearance, add keyboard shortcuts, and a plethora of other personalizations. - -![alt text](../img/settings-screen.png) - -## User Stories - - - -### General Settings - -- Users can customize `port` number -- Users can customize `janroot` folder location - -### Extensions Settings - -- Users can add, delete, and configure extensions - -### Model Settings - -- Users can configure default model parameters and settings -- Users can delete models - -### Appearance - -- Users can set color themes and dark/light modes diff --git a/docs/docs/developer/05-framework/03-product/system-monitor.md b/docs/docs/developer/05-framework/03-product/system-monitor.md deleted file mode 100644 index fc4a91751..000000000 --- a/docs/docs/developer/05-framework/03-product/system-monitor.md +++ /dev/null @@ -1,29 +0,0 @@ ---- -title: System Monitor -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -## Overview - -An activity screen to monitor system health and running models. - -![alt text](../img/system-screen.png) - -## User Stories - - - -- Users can see disk and ram utilization -- Users can start and stop models based on system health diff --git a/docs/docs/developer/05-framework/README.md b/docs/docs/developer/05-framework/README.md deleted file mode 100644 index c94ce9701..000000000 --- a/docs/docs/developer/05-framework/README.md +++ /dev/null @@ -1,111 +0,0 @@ ---- -title: Framework -slug: /developer/framework/ -description: Jan Docs | Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -The following low-level docs are aimed at core contributors. - -We cover how to contribute to the core framework (aka the `Core SDK`). - -:::tip -If you are interested to **build on top of the framework**, like creating assistants or adding app level extensions, please refer to [developer docs](/developer) instead. -::: - -## Jan Framework - -At its core, Jan is a **cross-platform, local-first and AI native framework** that can be used to build anything. - -### Extensions - -Ultimately, we aim for a `VSCode` or `Obsidian` like SDK that allows **devs to build and customize complex and ethical AI applications for any use case**, in less than 30 minutes. - -In fact, the current Jan [Desktop Client](https://jan.ai/) is actually just a specific set of extensions & integrations built on top of this framework. - -![Desktop is Extensions](./assets/ExtensionCallouts.png) - -:::tip -We encourage devs to fork, customize, and open source your improvements for the greater community. -::: - -### Cross Platform - -Jan follows [Clean Architecture](https://blog.cleancoder.com/uncle-bob/2012/08/13/the-clean-architecture.html) to the best of our ability. Though leaky abstractions remain (we're a fast moving, open source codebase), we do our best to build an SDK that allows devs to **build once, deploy everywhere.** - -![Clean Architecture](./assets/CleanArchitecture.jpg) - -**Supported Runtimes:** - -- `Node Native Runtime`, good for server side apps -- `Electron Chromium`, good for Desktop Native apps -- `Capacitor`, good for Mobile apps (planned, not built yet) -- `Python Runtime`, good for MLOps workflows (planned, not built yet) - -**Supported OS & Architectures:** - -- Mac Intel & Silicon -- Windows -- Linux (through AppImage) -- Nvidia GPUs -- AMD ROCm (coming soon) - -Read more: - -- [Code Entrypoint](https://github.com/janhq/jan/tree/main/core) -- [Dependency Inversion](https://en.wikipedia.org/wiki/Dependency_inversion_principle) - -### Local First - -Jan's data persistence happens on the user's local filesystem. - -We implemented abstractions on top of `fs` and other core modules in an opinionated way, s.t. user data is saved in a folder-based framework that lets users easily package, export, and manage their data. - -Future endeavors on this front include cross device syncing, multi user experience, and more. - -Long term, we want to integrate with folks working on [CRDTs](https://www.inkandswitch.com/local-first/), e.g. [Socket Runtime](https://www.theregister.com/2023/04/11/socket_runtime/) to deeply enable local-first software. - -Read more: - -- [Folder-based wrappers entrypoint](https://github.com/janhq/jan/blob/main/core/src/fs.ts) -- [Piping Node modules across infrastructures](https://github.com/janhq/jan/tree/main/core/src/node) - -:::caution -Our local first approach at the moment needs a lot of work. Please don't hesitate to refactor as you make your way through the codebase. -::: - -### AI Native - -We believe all software applications can be natively supercharged with AI primitives and embedded AI servers. - -Including: - -- OpenAI Compatible AI [types](https://github.com/janhq/jan/tree/main/core/src/types) and [core extensions](https://github.com/janhq/jan/tree/main/core/src/extensions) to support common functionality like making an inference call. -- Multiple inference engines through [extensions, integrations & wrappers](https://github.com/janhq/jan/tree/main/extensions/inference-nitro-extension) _On this, we'd like to appreciate the folks at [llamacpp](https://github.com/ggerganov/llama.cpp) and [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM) for. To which we'll continue to make commits & fixes back upstream._ - -- [Code Entrypoint](https://github.com/janhq/jan/tree/main/core/src/api) - -## Fun Project Ideas - -Beyond the current Jan client and UX, the Core SDK can be used to build many other AI-powered and privacy preserving applications. - -- `Game engine`: For AI enabled character games, procedural generation games -- `Health app`: For a personal healthcare app that improves habits -- Got ideas? Make a PR into this docs page! - -If you are interested to tackle these issues, or have suggestions for integrations and other OSS tools we can use, please hit us up in [Discord](https://discord.gg/5rQ2zTv3be). - -:::caution -Our open source license is copy left, which means we encourage forks to stay open source, and allow core contributors to merge things upstream. -::: diff --git a/docs/docs/developer/05-framework/assets/CleanArchitecture.jpg b/docs/docs/developer/05-framework/assets/CleanArchitecture.jpg deleted file mode 100644 index 3cd44fb58..000000000 Binary files a/docs/docs/developer/05-framework/assets/CleanArchitecture.jpg and /dev/null differ diff --git a/docs/docs/developer/05-framework/assets/ExtensionCallouts.png b/docs/docs/developer/05-framework/assets/ExtensionCallouts.png deleted file mode 100644 index 13cb3b41a..000000000 Binary files a/docs/docs/developer/05-framework/assets/ExtensionCallouts.png and /dev/null differ diff --git a/docs/docs/developer/05-framework/image.png b/docs/docs/developer/05-framework/image.png deleted file mode 100644 index d399dfa99..000000000 Binary files a/docs/docs/developer/05-framework/image.png and /dev/null differ diff --git a/docs/docs/developer/05-framework/img/chat-screen.png b/docs/docs/developer/05-framework/img/chat-screen.png deleted file mode 100644 index 53416c43b..000000000 Binary files a/docs/docs/developer/05-framework/img/chat-screen.png and /dev/null differ diff --git a/docs/docs/developer/05-framework/img/hub-screen.png b/docs/docs/developer/05-framework/img/hub-screen.png deleted file mode 100644 index 66cb90e43..000000000 Binary files a/docs/docs/developer/05-framework/img/hub-screen.png and /dev/null differ diff --git a/docs/docs/developer/05-framework/img/settings-screen.png b/docs/docs/developer/05-framework/img/settings-screen.png deleted file mode 100644 index 41080744e..000000000 Binary files a/docs/docs/developer/05-framework/img/settings-screen.png and /dev/null differ diff --git a/docs/docs/developer/05-framework/img/system-screen.png b/docs/docs/developer/05-framework/img/system-screen.png deleted file mode 100644 index eeca16d6a..000000000 Binary files a/docs/docs/developer/05-framework/img/system-screen.png and /dev/null differ diff --git a/docs/docs/ecosystem/ecosystem.md b/docs/docs/ecosystem/ecosystem.md deleted file mode 100644 index 38f939b3a..000000000 --- a/docs/docs/ecosystem/ecosystem.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Ecosystem ---- \ No newline at end of file diff --git a/docs/docs/events/hcmc-oct23.md b/docs/docs/events/hcmc-oct23.md deleted file mode 100644 index 182153263..000000000 --- a/docs/docs/events/hcmc-oct23.md +++ /dev/null @@ -1,53 +0,0 @@ ---- -title: "Jan's AI Hacker House (Ho Chi Minh City)" -description: '24-27 Oct 2023, District 3, HCMC. AI-focused talks, workshops and social events. Hosted by Jan.ai' -slug: /events/hcmc-oct23 -image: /img/hcmc-launch-party.png -keywords: [AI, Hacker House, Ho Chi Minh City, HCMC, Jan.ai] ---- - -![](/img/hcmc-launch-party.png) - -🎉 Join us at our Friday Launch Party for an evening of AI talks from other builders! [(RSVP here)](https://jan-launch-party.eventbrite.sg/) 🎉 - -## Ho Chi Minh City - -[Jan's Hacker House](https://jan.ai) is a 4-day event where we host an open AI Hacker House and invite the local AI community to join us. There is fast wifi, free snacks, drinks and pizza. - -We also host a series of talks, workshops and social events at night. We usually start off the week with a "Intro to LLMs" that targets local university students, and then progress to more in-depth technical and research areas. - -Jan is a fully remote team. We use the money we save from not having an office, to hold Hack Weeks where we meet in a city, eat pizza and work to ship major releases. - -### Date & Time - -- 24-27 October 2023 - -### Location - -- Districts 1 & 3, Ho Chi Minh City -- Exact location in Evenbrite (see below) - -## Agenda - -To help us manage RSVPs, please use the Eventbrite links below to RSVP for each event. - -| Day | Eventbrite Link | Signups | -| ------------ | ------------------------------------- | ---------------------------------------------------- | -| Mon (23 Oct) | Jan Team & Partners Dinner | Invite-only | -| Thu (26 Oct) | HCMC Startups & VC Night | Invite-only | -| Fri (27 Oct) | Jan Launch Party + Build your own LLM | [RSVP here](https://jan-launch-party.eventbrite.sg/) | - -### OKRs - -| **Objective** | Jan v1.0 should be bug-free and run on Windows, Max, Linux | -| ------------- | ---------------------------------------------------------- | -| Key Result | Polished UI with "Create Bot" w/ saved prompts | -| Key Result | Documentation of Jan Codebase for Plugin Developers | -| Key Result | Roadmap for 4Q 2023 | -| Key Result | _Stretch Goal:_ Core Process API for Plugins | - -## Photos - -![](/img/hcmc-launch-party.png) - -🎉 Join us at our Friday Launch Party for an evening of AI talks from other builders! [(RSVP here)](https://jan-launch-party.eventbrite.sg/) 🎉 diff --git a/docs/docs/events/nvidia-llm-day-nov-23.md b/docs/docs/events/nvidia-llm-day-nov-23.md deleted file mode 100644 index a57776ef4..000000000 --- a/docs/docs/events/nvidia-llm-day-nov-23.md +++ /dev/null @@ -1,20 +0,0 @@ ---- -title: 'Nov 23: Nvidia GenAI Day' -description: Nvidia's LLM Day ---- - -![](/img/nvidia-llm-day-header.png) - -## Nvidia GenAI Innovation Day - -Jan will be at Nvidia's GenAI Innovation Day in Nov '23, focusing on Enterprise use-cases of LLMs. - -### Location - -- JW Marriott Hanoi Hotel -- 8:30am November 8th 2023 -- Registration: [https://gmcgroup.com.vn/nvidia-genai-event/](https://gmcgroup.com.vn/nvidia-genai-event/) - -### Programme - -![](/img/nvidia-llm-day.png) diff --git a/docs/docs/features/agents-framework.md b/docs/docs/features/agents-framework.md deleted file mode 100644 index 2ba312854..000000000 --- a/docs/docs/features/agents-framework.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Agents Framework ---- \ No newline at end of file diff --git a/docs/docs/features/api-server.md b/docs/docs/features/api-server.md deleted file mode 100644 index 36f697cb2..000000000 --- a/docs/docs/features/api-server.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: API Server ---- \ No newline at end of file diff --git a/docs/docs/features/data-security.md b/docs/docs/features/data-security.md deleted file mode 100644 index c5c1e6c7c..000000000 --- a/docs/docs/features/data-security.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Data Security ---- \ No newline at end of file diff --git a/docs/docs/features/extensions-framework.md b/docs/docs/features/extensions-framework.md deleted file mode 100644 index 6c173ee53..000000000 --- a/docs/docs/features/extensions-framework.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Extensions Framework ---- \ No newline at end of file diff --git a/docs/docs/features/features.md b/docs/docs/features/features.md deleted file mode 100644 index d68e9a7ad..000000000 --- a/docs/docs/features/features.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Features ---- \ No newline at end of file diff --git a/docs/docs/features/local.md b/docs/docs/features/local.md deleted file mode 100644 index 6c80c0378..000000000 --- a/docs/docs/features/local.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Local & Self-Hosted AI ---- \ No newline at end of file diff --git a/docs/docs/features/remote.md b/docs/docs/features/remote.md deleted file mode 100644 index 4145a0f0a..000000000 --- a/docs/docs/features/remote.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: OpenAI API Support (and others) ---- \ No newline at end of file diff --git a/docs/docs/foundry/foundry.md b/docs/docs/foundry/foundry.md deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/docs/guides/assets/janOpenAppDirectory.gif b/docs/docs/guides/assets/janOpenAppDirectory.gif deleted file mode 100644 index c71d1a9c2..000000000 Binary files a/docs/docs/guides/assets/janOpenAppDirectory.gif and /dev/null differ diff --git a/docs/docs/guides/assets/janSwitchCPUtoGPU.gif b/docs/docs/guides/assets/janSwitchCPUtoGPU.gif deleted file mode 100644 index 41cc099d4..000000000 Binary files a/docs/docs/guides/assets/janSwitchCPUtoGPU.gif and /dev/null differ diff --git a/docs/docs/guides/extensions/extensions.mdx b/docs/docs/guides/extensions/extensions.mdx deleted file mode 100644 index 63b71b390..000000000 --- a/docs/docs/guides/extensions/extensions.mdx +++ /dev/null @@ -1,163 +0,0 @@ ---- -title: What are Jan Extensions? -slug: /extensions -description: Jan Docs | Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -sidebar_position: 1 -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - Jan Extensions, - Extensions, - ] ---- - -The current Jan Desktop Client has some default extensions built on top of this framework to enhance the user experience. In this guide, we will show you the list of default extensions and how to configure extension settings. - -## Default Extensions - -You can find the default extensions in the `Settings` > `Extensions`. - -## List of Default Extensions - -| Extension Name | Version | Description | Source Code Link | -| ---------------------------------- | --------- | ---------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------- | -| Assistant Extension | `v1.0.0` | This extension enables assistants, including Jan, a default assistant that can call all downloaded models. | [Link to Source](https://github.com/janhq/jan/tree/dev/extensions/assistant-extension) | -| Conversational Extension | `v1.0.0` | This extension enables conversations and state persistence via your filesystem. | [Link to Source](https://github.com/janhq/jan/tree/dev/extensions/conversational-extension) | -| Inference Nitro Extension | `v1.0.0` | This extension embeds Nitro, a lightweight (3 MB) inference engine in C++. See nitro.jan.ai. | [Link to Source](https://github.com/janhq/jan/tree/dev/extensions/inference-nitro-extension) | -| Inference Openai Extension | `v1.0.0` | This extension enables OpenAI chat completion API calls. | [Link to Source](https://github.com/janhq/jan/tree/dev/extensions/inference-openai-extension) | -| Inference Triton Trt Llm Extension | `v1.0.0` | This extension enables Nvidia's TensorRT-LLM as an inference engine option. | [Link to Source](https://github.com/janhq/jan/tree/dev/extensions/inference-triton-trtllm-extension) | -| Model Extension | `v1.0.22` | Model Management Extension provides model exploration and seamless downloads. | [Link to Source](https://github.com/janhq/jan/tree/dev/extensions/model-extension) | -| Monitoring Extension | `v1.0.9` | This extension offers system health and OS-level data. | [Link to Source](https://github.com/janhq/jan/tree/dev/extensions/monitoring-extension) | - -## Configure Extension Settings - -To configure extension settings: - -1. Navigate to the `~/jan/extensions`. -2. Open the `extensions.json` file -3. Edit the file with options including: - -| Option | Description | -| ---------------- | ----------------------------------- | -| `_active` | Enable/disable the extension. | -| `listeners` | Default listener setting. | -| `origin` | Extension file path. | -| `installOptions` | Version and metadata configuration. | -| `name` | Extension name. | -| `version` | Extension version. | -| `main` | Main file path. | -| `description` | Extension description. | -| `url` | Extension URL. | - -```json title="~/jan/extensions/extensions.json" -{ - "@janhq/assistant-extension": { - "_active": true, - "listeners": {}, - "origin": "/Applications/Jan.app/Contents/Resources/app.asar.unpacked/pre-install/janhq-assistant-extension-1.0.0.tgz", - "installOptions": { "version": false, "fullMetadata": false }, - "name": "@janhq/assistant-extension", - "version": "1.0.0", - "main": "dist/index.js", - "description": "This extension enables assistants, including Jan, a default assistant that can call all downloaded models", - "url": "extension://@janhq/assistant-extension/dist/index.js" - }, - "@janhq/conversational-extension": { - "_active": true, - "listeners": {}, - "origin": "/Applications/Jan.app/Contents/Resources/app.asar.unpacked/pre-install/janhq-conversational-extension-1.0.0.tgz", - "installOptions": { "version": false, "fullMetadata": false }, - "name": "@janhq/conversational-extension", - "version": "1.0.0", - "main": "dist/index.js", - "description": "This extension enables conversations and state persistence via your filesystem", - "url": "extension://@janhq/conversational-extension/dist/index.js" - }, - "@janhq/inference-nitro-extension": { - "_active": true, - "listeners": {}, - "origin": "/Applications/Jan.app/Contents/Resources/app.asar.unpacked/pre-install/janhq-inference-nitro-extension-1.0.0.tgz", - "installOptions": { "version": false, "fullMetadata": false }, - "name": "@janhq/inference-nitro-extension", - "version": "1.0.0", - "main": "dist/index.js", - "description": "This extension embeds Nitro, a lightweight (3mb) inference engine written in C++. See nitro.jan.ai", - "url": "extension://@janhq/inference-nitro-extension/dist/index.js" - }, - "@janhq/inference-openai-extension": { - "_active": true, - "listeners": {}, - "origin": "/Applications/Jan.app/Contents/Resources/app.asar.unpacked/pre-install/janhq-inference-openai-extension-1.0.0.tgz", - "installOptions": { "version": false, "fullMetadata": false }, - "name": "@janhq/inference-openai-extension", - "version": "1.0.0", - "main": "dist/index.js", - "description": "This extension enables OpenAI chat completion API calls", - "url": "extension://@janhq/inference-openai-extension/dist/index.js" - }, - "@janhq/inference-triton-trt-llm-extension": { - "_active": true, - "listeners": {}, - "origin": "/Applications/Jan.app/Contents/Resources/app.asar.unpacked/pre-install/janhq-inference-triton-trt-llm-extension-1.0.0.tgz", - "installOptions": { "version": false, "fullMetadata": false }, - "name": "@janhq/inference-triton-trt-llm-extension", - "version": "1.0.0", - "main": "dist/index.js", - "description": "This extension enables Nvidia's TensorRT-LLM as an inference engine option", - "url": "extension://@janhq/inference-triton-trt-llm-extension/dist/index.js" - }, - "@janhq/model-extension": { - "_active": true, - "listeners": {}, - "origin": "/Applications/Jan.app/Contents/Resources/app.asar.unpacked/pre-install/janhq-model-extension-1.0.22.tgz", - "installOptions": { "version": false, "fullMetadata": false }, - "name": "@janhq/model-extension", - "version": "1.0.22", - "main": "dist/index.js", - "description": "Model Management Extension provides model exploration and seamless downloads", - "url": "extension://@janhq/model-extension/dist/index.js" - }, - "@janhq/monitoring-extension": { - "_active": true, - "listeners": {}, - "origin": "/Applications/Jan.app/Contents/Resources/app.asar.unpacked/pre-install/janhq-monitoring-extension-1.0.9.tgz", - "installOptions": { "version": false, "fullMetadata": false }, - "name": "@janhq/monitoring-extension", - "version": "1.0.9", - "main": "dist/index.js", - "description": "This extension provides system health and OS level data", - "url": "extension://@janhq/monitoring-extension/dist/index.js" - } -} -``` - -## Import Custom Extension - -:::note -Currently, Jan only supports official extensions, which can be directly downloaded in Extension Settings. We plan to support 3rd party Extensions in the future. -::: - -For now you can always import a third party extension at your own risk by following the steps below: - -1. Navigate to **Settings** > **Extensions** > Click Select under **Manual Installation**. -2. Then, the ~/jan/extensions/extensions.json file will be updated automatically. - -:::caution - -You need to prepare the extension file in .tgz format to install the **non-default** extension. - -::: - -:::info[Assistance and Support] - -If you have questions, please join our [Discord community](https://discord.gg/Dt7MxDyNNZ) for support, updates, and discussions. - -::: diff --git a/docs/docs/guides/get-started/asset/download.gif b/docs/docs/guides/get-started/asset/download.gif deleted file mode 100644 index 10cb4b466..000000000 Binary files a/docs/docs/guides/get-started/asset/download.gif and /dev/null differ diff --git a/docs/docs/guides/get-started/asset/gpt.gif b/docs/docs/guides/get-started/asset/gpt.gif deleted file mode 100644 index 3972e812f..000000000 Binary files a/docs/docs/guides/get-started/asset/gpt.gif and /dev/null differ diff --git a/docs/docs/guides/get-started/asset/model.gif b/docs/docs/guides/get-started/asset/model.gif deleted file mode 100644 index e5abdf757..000000000 Binary files a/docs/docs/guides/get-started/asset/model.gif and /dev/null differ diff --git a/docs/docs/guides/get-started/hardware-setup.mdx b/docs/docs/guides/get-started/hardware-setup.mdx deleted file mode 100644 index 7225708cf..000000000 --- a/docs/docs/guides/get-started/hardware-setup.mdx +++ /dev/null @@ -1,25 +0,0 @@ ---- -title: Hardware Setup -slug: /guides/hardware -description: Jan Docs | Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -sidebar_position: 3 -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - hardware requirements, - Nvidia, - AMD, - CPU, - GPU, - ] ---- - -Coming Soon diff --git a/docs/docs/guides/get-started/overview.mdx b/docs/docs/guides/get-started/overview.mdx deleted file mode 100644 index c979d53b9..000000000 --- a/docs/docs/guides/get-started/overview.mdx +++ /dev/null @@ -1,20 +0,0 @@ ---- -title: Overview -slug: /guides -description: Jan Docs | Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -sidebar_position: 1 -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -Coming Soon diff --git a/docs/docs/guides/get-started/quickstart.mdx b/docs/docs/guides/get-started/quickstart.mdx deleted file mode 100644 index 243e4a59e..000000000 --- a/docs/docs/guides/get-started/quickstart.mdx +++ /dev/null @@ -1,277 +0,0 @@ ---- -title: Quickstart -slug: /guides/quickstart -description: Get started quickly with Jan, a ChatGPT-alternative that runs on your own computer, with a local API server. Learn how to install Jan and select an AI model to start chatting. -sidebar_position: 2 -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - quickstart, - getting started, - using AI model, - installation, - ] ---- - -import Tabs from '@theme/Tabs'; -import TabItem from '@theme/TabItem'; -import download from './asset/download.gif'; -import gpt from './asset/gpt.gif'; -import model from './asset/model.gif'; - -To get started quickly with Jan, follow the steps below: - -## Step 1: Get Jan Desktop - - - - - #### Pre-requisites - Before installing Jan, ensure : - - You have a Mac with an Apple Silicon Processor. - - Homebrew and its dependencies are installed for installing Jan with Homebrew package. - - Your macOS version is 10.15 or higher. - - #### Stable Releases - - To download stable releases, go to [Jan](https://jan.ai/) > select **Download for Mac**. - - The download should be available as a `.dmg`. - - #### Nightly Releases - - We provide the Nightly Release so that you can test new features and see what might be coming in a future stable release. Please be aware that there might be bugs! - - You can download it from [Jan's Discord](https://discord.gg/FTk2MvZwJH) in the [`#nightly-builds`](https://discord.gg/q8szebnxZ7) channel. - - #### Experimental Model - - To enable the experimental mode, go to **Settings** > **Advanced Settings** and toggle the **Experimental Mode** - - #### Install with Homebrew - Install Jan with the following Homebrew command: - - ```brew - brew install --cask jan - ``` - -:::warning - -Homebrew package installation is currently limited to **Apple Silicon Macs**, with upcoming support for Windows and Linux. - -::: - - - - - #### Pre-requisites - Ensure that your system meets the following requirements: - - Windows 10 or higher is required to run Jan. - - To enable GPU support, you will need: - - NVIDIA GPU with CUDA Toolkit 11.7 or higher - - NVIDIA driver 470.63.01 or higher - - #### Stable Releases - - To download stable releases, go to [Jan](https://jan.ai/) > select **Download for Windows**. - - The download should be available as a `.exe` file. - - #### Nightly Releases - - We provide the Nightly Release so that you can test new features and see what might be coming in a future stable release. Please be aware that there might be bugs! - - You can download it from [Jan's Discord](https://discord.gg/FTk2MvZwJH) in the [`#nightly-builds`](https://discord.gg/q8szebnxZ7) channel. - - #### Experimental Model - - To enable the experimental mode, go to **Settings** > **Advanced Settings** and toggle the **Experimental Mode** - - #### Default Installation Directory - - By default, Jan is installed in the following directory: - - ```sh - # Default installation directory - C:\Users\{username}\AppData\Local\Programs\Jan - ``` - -:::warning - -If you are stuck in a broken build, go to the [Broken Build](/guides/common-error/broken-build) section of Common Errors. - -::: - - - - - #### Pre-requisites - Ensure that your system meets the following requirements: - - glibc 2.27 or higher (check with `ldd --version`) - - gcc 11, g++ 11, cpp 11, or higher, refer to this link for more information. - - To enable GPU support, you will need: - - NVIDIA GPU with CUDA Toolkit 11.7 or higher - - NVIDIA driver 470.63.01 or higher - - #### Stable Releases - - To download stable releases, go to [Jan](https://jan.ai/) > select **Download for Linux**. - - The download should be available as a `.AppImage` file or a `.deb` file. - - #### Nightly Releases - - We provide the Nightly Release so that you can test new features and see what might be coming in a future stable release. Please be aware that there might be bugs! - - You can download it from [Jan's Discord](https://discord.gg/FTk2MvZwJH) in the [`#nightly-builds`](https://discord.gg/q8szebnxZ7) channel. - - #### Experimental Model - - To enable the experimental mode, go to **Settings** > **Advanced Settings** and toggle the **Experimental Mode** - - - - - To install Jan, you should use your package manager's install or `dpkg`. - - - - - To install Jan, run the following command: - - ```sh - # Install Jan using dpkg - sudo dpkg -i jan-linux-amd64-{version}.deb - - # Install Jan using apt-get - sudo apt-get install ./jan-linux-amd64-{version}.deb - # where jan-linux-amd64-{version}.deb is path to the Jan package - ``` - - - - - To install Jan, run the following commands: - - ```sh - # Install Jan using AppImage - chmod +x jan-linux-x86_64-{version}.AppImage - ./jan-linux-x86_64-{version}.AppImage - # where jan-linux-x86_64-{version}.AppImage is path to the Jan package - ``` - - - - -:::warning - -If you are stuck in a broken build, go to the [Broken Build](/guides/common-error/broken-build) section of Common Errors. - -::: - - - - - -## Step 2: Download a Model - -Jan provides a variety of local AI models tailored to different needs, ready for download. These models are installed and run directly on the user's device. - -1. Go to the **Hub**. -2. Select the models that you would like to install, to see a model details click the dropdown button. -3. Click the **Download** button. - -
- -
- Download a Model -
- -
- -:::note - -Ensure you select the appropriate model size by balancing performance, cost, and resource considerations in line with your task's specific requirements and hardware specifications. -::: - -## Step 3: Connect to ChatGPT (Optional) - -Jan also provides access to remote models hosted on external servers, requiring an API key for connectivity. For example, to use the ChatGPT model with Jan, you must input your API key by following these steps: - -1. Go to the **Thread** tab. -2. Under the Model dropdown menu, select the ChatGPT model. -3. Fill in your ChatGPT API Key that you can get in your [OpenAI platform](https://platform.openai.com/account/api-keys). - -
- -
- Connect to ChatGPT -
- -
- -## Step 4: Chat with Models - -After downloading and configuring your model, you can immediately use it in the **Thread** tab. - -
- -
- Chat with a model -
- -
- -## Best Practices - -This section outlines best practices for developers, analysts, and AI enthusiasts to enhance their experience with Jan when adding AI locally to their computers. Implementing these practices will optimize the performance of AI models. - -### Follow the Quickstart Guide - -The quickstart guide above is designed to facilitate a quick setup process. It provides a clear instruction and simple steps to get you up and running with Jan quickly. Even, if you are inexperienced in AI. - -### Select the Right Models - -Jan offers a range of pre-configured AI models that are suited for different purposes. You should identify which on that aligns with your objectives. There are factors to be considered: - -- Capabilities -- Accuracy -- Processing Speed - -:::note - -- Some of these factors also depend on your hardware, please see Hardware Requirement. -- Choosing the right model is important to achieve the best performance. - ::: - -### Setting up Jan - -Ensure that you familiarize yourself with the Jan application. Jan offers advanced settings that you can adjust. These settings may influence how your AI behaves locally. Please see the [Advanced Settings](/guides/advanced) article for a complete list of Jan's configurations and instructions on how to configure them. - -### Integrations - -Jan can work with many different systems and tools. Whether you are incorporating Jan with any open-source LLM provider or other tools, it is important to understand the integration capabilities and limitations. - -### Mastering the Prompt Engineering - -Prompt engineering is an important aspect when dealing with AI models to generate the desired outputs. Mastering this skill can significantly enhance the performance and the responses of the AI. Below are some tips that you can do for prompt engineering: - -- Ask the model to adopt a persona -- Be specific and details get a more specific answers -- Provide examples or preference text or context at the beginning -- Use a clear and concise language -- Use certain keywords and phrases - -## Pre-configured Models - -To see the full list of Jan's pre-configured models, please see our official GitHub [here](https://github.com/janhq/jan). diff --git a/docs/docs/guides/get-started/settingup-gpu.mdx b/docs/docs/guides/get-started/settingup-gpu.mdx deleted file mode 100644 index cd8fb3556..000000000 --- a/docs/docs/guides/get-started/settingup-gpu.mdx +++ /dev/null @@ -1,20 +0,0 @@ ---- -title: Setting Up GPU -slug: /guides/hardware/gpu -description: Jan Docs | Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -sidebar_position: 1 -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -Coming Soon diff --git a/docs/docs/guides/inference/overview-inference.mdx b/docs/docs/guides/inference/overview-inference.mdx deleted file mode 100644 index 79e306a67..000000000 --- a/docs/docs/guides/inference/overview-inference.mdx +++ /dev/null @@ -1,20 +0,0 @@ ---- -title: Overview -slug: /guides/engines -description: Jan Docs | Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -sidebar_position: 12 -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -Coming Soon diff --git a/docs/docs/guides/installation/README.mdx b/docs/docs/guides/installation/README.mdx deleted file mode 100644 index cd8ca4cc5..000000000 --- a/docs/docs/guides/installation/README.mdx +++ /dev/null @@ -1,107 +0,0 @@ ---- -title: Installation -sidebar_position: 4 -slug: /guides/install/ -hide_table_of_contents: true -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -## Jan Device Compatible - -Jan is compatible with macOS, Windows, and Linux, making it accessible for a wide range of users. This compatibility allows users to leverage Jan's AI tools effectively, regardless of their device or operating system. - -:::note -For detailed system requirements and setup instructions, refer to our [Hardware Setup](/guides/hardware/) guide. -::: - -import DocCardList from "@theme/DocCardList"; - - - -## Install Server-Side - -To install Jan from source, follow the steps below: - -### Pre-requisites - -Before proceeding with the installation of Jan from source, ensure that the following software versions are installed on your system: - -- Node.js version 20.0.0 or higher -- Yarn version 1.22.0 or higher - -### Install Jan Development Build - -1. Clone the Jan repository from GitHub by using the following command: - -```bash -git clone https://github.com/janhq/jan -git checkout DESIRED_BRANCH -cd jan -``` - -2. Install the required dependencies by using the following Yarn command: - -```bash -yarn install - -# Build core module -yarn build:core - -# Packing base plugins -yarn build:plugins - -# Packing uikit -yarn build:uikit -``` - -3. Run the development server. - -```bash -yarn dev -``` - -This will start the development server and open the desktop app. During this step, you may encounter notifications about installing base plugins. Simply click **OK** and **Next** to continue. - -### Install Jan Production Build - -1. Clone the Jan repository from GitHub by using the following command: - -```bash -git clone https://github.com/janhq/jan -cd jan -``` - -2. Install the required dependencies by using the following Yarn command: - -```bash -yarn install - -# Build core module -yarn build:core - -# Packing base plugins -yarn build:plugins - -# Packing uikit -yarn build:uikit -``` - -3. Run the production server. - -```bash -yarn -``` - -This completes the installation process for Jan from source. The production-ready app for macOS can be found in the dist folder. diff --git a/docs/docs/guides/installation/docker.mdx b/docs/docs/guides/installation/docker.mdx deleted file mode 100644 index 55557058b..000000000 --- a/docs/docs/guides/installation/docker.mdx +++ /dev/null @@ -1,137 +0,0 @@ ---- -title: Install with Docker -sidebar_position: 4 -slug: /guides/install/server -hide_table_of_contents: true -description: A step-by-step guide to install Jan using Docker. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - Install on Docker, - Docker, - Helm, - ] ---- - -import Tabs from '@theme/Tabs'; -import TabItem from '@theme/TabItem'; - -### Pre-requisites - - Ensure that your system meets the following requirements: - - Linux or WSL2 Docker - - Latest Docker Engine and Docker Compose - - To enable GPU support, you will need: - - `nvidia-driver` - - `nvidia-docker2` - - -:::note - -- If you have not installed Docker, follow the instructions [here](https://docs.docker.com/engine/install/ubuntu/). -- If you have not installed the required file for GPU support, follow the instructions [here](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html). - ::: - - ### Run Jan in Docker - You can run Jan in Docker with two methods: - 1. Run Jan in CPU mode - 2. Run Jan in GPU mode - - - - To run Jan in Docker CPU mode, by using the following code: - - ```bash - # cpu mode with default file system - docker compose --profile cpu-fs up -d - - # cpu mode with S3 file system - docker compose --profile cpu-s3fs up -d - ``` - - - - - To run Jan in Docker CPU mode, follow the steps below: - 1. Check CUDA compatibility with your NVIDIA driver by running nvidia-smi and check the CUDA version in the output as shown below: - ```sh - nvidia-smi - - # Output - +---------------------------------------------------------------------------------------+ - | NVIDIA-SMI 531.18 Driver Version: 531.18 CUDA Version: 12.1 | - |-----------------------------------------+----------------------+----------------------+ - | GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC | - | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | - | | | MIG M. | - |=========================================+======================+======================| - | 0 NVIDIA GeForce RTX 4070 Ti WDDM | 00000000:01:00.0 On | N/A | - | 0% 44C P8 16W / 285W| 1481MiB / 12282MiB | 2% Default | - | | | N/A | - +-----------------------------------------+----------------------+----------------------+ - | 1 NVIDIA GeForce GTX 1660 Ti WDDM | 00000000:02:00.0 Off | N/A | - | 0% 49C P8 14W / 120W| 0MiB / 6144MiB | 0% Default | - | | | N/A | - +-----------------------------------------+----------------------+----------------------+ - | 2 NVIDIA GeForce GTX 1660 Ti WDDM | 00000000:05:00.0 Off | N/A | - | 29% 38C P8 11W / 120W| 0MiB / 6144MiB | 0% Default | - | | | N/A | - +-----------------------------------------+----------------------+----------------------+ - - +---------------------------------------------------------------------------------------+ - | Processes: | - | GPU GI CI PID Type Process name GPU Memory | - | ID ID Usage | - |=======================================================================================| - ``` - 2. Visit [NVIDIA NGC Catalog](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cuda/tags) and find the smallest minor version of image tag that matches your CUDA version (e.g., 12.1 -> 12.1.0) - 3. Update the `Dockerfile.gpu` line number 5 with the latest minor version of the image tag from step 2 (e.g. change `FROM nvidia/cuda:12.2.0-runtime-ubuntu22.04 AS base` to `FROM nvidia/cuda:12.1.0-runtime-ubuntu22.04 AS base`) - 4. Run Jan in GPU mode by using the following command: - - ```bash - # GPU mode with default file system - docker compose --profile gpu-fs up -d - - # GPU mode with S3 file system - docker compose --profile gpu-s3fs up -d - ``` - - - - ### Docker Compose Profile and Environment - The available Docker Compose profile and the environment variables listed below: - - #### Docker Compose Profile - - | Profile | Description | - |-----------|-------------------------------------------| - | cpu-fs | Run Jan in CPU mode with default file system | - | cpu-s3fs | Run Jan in CPU mode with S3 file system | - | gpu-fs | Run Jan in GPU mode with default file system | - | gpu-s3fs | Run Jan in GPU mode with S3 file system | - - #### Environment Variables - - | Environment Variable | Description | - |--------------------------|------------------------------------------------------------| - | S3_BUCKET_NAME | S3 bucket name - leave blank for default file system | - | AWS_ACCESS_KEY_ID | AWS access key ID - leave blank for default file system | - | AWS_SECRET_ACCESS_KEY | AWS secret access key - leave blank for default file system| - | AWS_ENDPOINT | AWS endpoint URL - leave blank for default file system | - | AWS_REGION | AWS region - leave blank for default file system | - | API_BASE_URL | Jan Server URL, please modify it as your public ip address or domain name default http://localhost:1377 | - -:::warning - -If you are stuck in a broken build, go to the [Broken Build](/troubleshooting/#broken-build) section of Common Errors. - -::: diff --git a/docs/docs/guides/installation/linux.mdx b/docs/docs/guides/installation/linux.mdx deleted file mode 100644 index 2e03fd6e7..000000000 --- a/docs/docs/guides/installation/linux.mdx +++ /dev/null @@ -1,23 +0,0 @@ ---- -title: Install on Linux -sidebar_position: 3 -slug: /guides/install/linux -hide_table_of_contents: true -description: A step-by-step guide to install Jan on your Linux. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - Install on Linux, - Linux, - ] ---- - -Coming soon diff --git a/docs/docs/guides/installation/mac.mdx b/docs/docs/guides/installation/mac.mdx deleted file mode 100644 index 519fef644..000000000 --- a/docs/docs/guides/installation/mac.mdx +++ /dev/null @@ -1,24 +0,0 @@ ---- -title: Install on Mac -sidebar_position: 1 -slug: /guides/install/mac -hide_table_of_contents: true -description: A step-by-step guide to install Jan on your Mac. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - MacOs, - Install on Mac, - Apple devices, - ] ---- - -Coming soon diff --git a/docs/docs/guides/installation/windows.mdx b/docs/docs/guides/installation/windows.mdx deleted file mode 100644 index 58bd1597f..000000000 --- a/docs/docs/guides/installation/windows.mdx +++ /dev/null @@ -1,25 +0,0 @@ ---- -title: Install on Windows -sidebar_position: 2 -slug: /guides/install/windows -hide_table_of_contents: true -description: A step-by-step guide to install Jan on your Windows. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - Windows 10, - Windows 11, - Install on Windows, - Microsoft devices, - ] ---- - -Coming soon diff --git a/docs/docs/guides/integrations/README.mdx b/docs/docs/guides/integrations/README.mdx deleted file mode 100644 index 7ede1233b..000000000 --- a/docs/docs/guides/integrations/README.mdx +++ /dev/null @@ -1,23 +0,0 @@ ---- -title: Integrations -slug: /integrations/ -sidebar_position: 1 -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - build extension, - ] ---- - -import DocCardList from "@theme/DocCardList"; - - diff --git a/docs/docs/guides/integrations/crewai.mdx b/docs/docs/guides/integrations/crewai.mdx deleted file mode 100644 index bda409059..000000000 --- a/docs/docs/guides/integrations/crewai.mdx +++ /dev/null @@ -1,23 +0,0 @@ ---- -title: CrewAI -sidebar_position: 19 -description: A step-by-step guide on how to integrate Jan with CrewAI. -slug: /integrations/crewai -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - Continue integration, - CrewAI integration, - CrewAI, - ] ---- - -Coming Soon diff --git a/docs/docs/guides/integrations/discord.mdx b/docs/docs/guides/integrations/discord.mdx deleted file mode 100644 index 8fd676f02..000000000 --- a/docs/docs/guides/integrations/discord.mdx +++ /dev/null @@ -1,78 +0,0 @@ ---- -title: Discord -slug: /integrations/discord -sidebar_position: 5 -description: A step-by-step guide on how to integrate Jan with a Discord bot. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - Discord integration, - Discord, - bot, - ] ---- - -## Integrate Discord Bot with Jan - -Discord bot can enhances your discord server interactions. By integrating Jan with it, you can significantly boost responsiveness and user engaggement in your discord server. - -To integrate Jan with a Discord bot, follow the steps below: - -### Step 1: Clone the repository - -To make this integration successful, it is necessary to clone the discord bot's [repository](https://github.com/jakobdylanc/discord-llm-chatbot). - -### Step 2: Install the Required Libraries - -After cloning the repository, run the following command: - -```sh -pip install -r requirements.txt -``` - -### Step 3: Set the Environment - -1. Create a copy of `.env.example`. -2. Change the name to `.env`. -3. Set the environment with the following options: - -| Setting | Instructions | -| ----------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -| `DISCORD_BOT_TOKEN` | Generate a new Discord application at [discord.com/developers/applications](https://discord.com/developers/applications), obtain a token from the Bot tab, and enable MESSAGE CONTENT INTENT. | -| `LLM` | For [Jan](https://jan.ai/), set to `local/openai/(MODEL_NAME)`, where `(MODEL_NAME)` is your loaded model's name. | -| `CUSTOM_SYSTEM_PROMPT` | Adjust the bot's behavior as needed. | -| `CUSTOM_DISCORD_STATUS` | Set a custom message for the bot's Discord profile. (Max 128 characters) | -| `ALLOWED_CHANNEL_IDS` | Enter Discord channel IDs where the bot can send messages, separated by commas. Leave blank to allow all channels. | -| `ALLOWED_ROLE_IDS` | Enter Discord role IDs allowed to use the bot, separated by commas. Leave blank to allow everyone. Including at least one role also disables DMs. | -| `MAX_IMAGES` | Max number of image attachments allowed per message when using a vision model. (Default: `5`) | -| `MAX_MESSAGES` | Max messages allowed in a reply chain. (Default: `20`) | -| `LOCAL_SERVER_URL` | URL of your local API server for LLMs starting with `local/`. (Default: `http://localhost:5000/v1`) | -| `LOCAL_API_KEY` | API key for your local API server with LLMs starting with `local/`. Usually safe to leave blank. | - -### Step 4: Insert the Bot - -Invite the bot to your Discord server using the following URL: - -``` -https://discord.com/api/oauth2/authorize?client_id=(CLIENT_ID)&permissions=412317273088&scope=bot -``` - -:::note -Replace `CLIENT_ID` with your Discord application's client ID from the OAuth2 tab -::: - -### Step 5: Run the bot - -Run the bot by using the following command in your command prompt: - -```sh -python llmcord.py -``` diff --git a/docs/docs/guides/integrations/interpreter.mdx b/docs/docs/guides/integrations/interpreter.mdx deleted file mode 100644 index 9acd0fa4b..000000000 --- a/docs/docs/guides/integrations/interpreter.mdx +++ /dev/null @@ -1,60 +0,0 @@ ---- -title: Open Interpreter -slug: /integrations/interpreter -sidebar_position: 6 -description: A step-by-step guide on how to integrate Jan with Open Interpreter. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - Open Interpreter integration, - Open Interpreter, - ] ---- - -## Integrate Open Interpreter with Jan - -[Open Interpreter](https://github.com/KillianLucas/open-interpreter/) lets LLMs run code (Python, Javascript, Shell, and more) locally. You can chat with Open Interpreter through a ChatGPT-like interface in your terminal by running `interpreter` after installing. To integrate Open Interpreter with Jan, follow the steps below: - -### Step 1: Install Open Interpreter - -1. Install Open Interpreter by running: - -```sh -pip install open-interpreter -``` - -2. A Rust compiler is required to install Open Interpreter. If not already installed, run the following command or go to [this page](https://rustup.rs/) if you are running on windows: - -```zsh -sudo apt install rustc -``` - -### Step 2: Configure Jan's Local API Server - -Before using Open Interpreter, configure the model in `Settings` > `My Model` for Jan and activate its local API server. - -#### Enabling Jan API Server - -1. Click the `<>` button to access the **Local API Server** section in Jan. - -2. Configure the server settings, including **IP Port**, **Cross-Origin-Resource-Sharing (CORS)**, and **Verbose Server Logs**. - -3. Click **Start Server**. - -### Step 3: Set the Open Interpreter Environment - -1. For integration, provide the API Base (`http://localhost:1337/v1`) and the model ID (e.g., `mistral-ins-7b-q4`) when running Open Interpreter. For example see the code below: - -```zsh -interpreter --api_base http://localhost:1337/v1 --model mistral-ins-7b-q4 -``` - -> **Open Interpreter is now ready for use!** diff --git a/docs/docs/guides/integrations/overview-integration.mdx b/docs/docs/guides/integrations/overview-integration.mdx deleted file mode 100644 index 344ebaa5f..000000000 --- a/docs/docs/guides/integrations/overview-integration.mdx +++ /dev/null @@ -1,20 +0,0 @@ ---- -title: Overview -slug: /integrationss -description: Jan Docs | Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -sidebar_position: 1 -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -Coming Soon diff --git a/docs/docs/guides/integrations/raycast.mdx b/docs/docs/guides/integrations/raycast.mdx deleted file mode 100644 index 3611dcf00..000000000 --- a/docs/docs/guides/integrations/raycast.mdx +++ /dev/null @@ -1,42 +0,0 @@ ---- -title: Raycast -slug: /integrations/raycast -sidebar_position: 17 -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - raycast integration, - Raycast, - ] -description: A step-by-step guide on how to integrate Jan with Raycast. ---- - -## Integrate Raycast with Jan - -[Raycast](https://www.raycast.com/) is a productivity tool designed for macOS that enhances workflow efficiency by providing quick access to various tasks and functionalities through a keyboard-driven interface. To integrate Raycast with Jan, follow the steps below: - -### Step 1: Download the TinyLlama Model - -1. Go to the **Hub** and download the TinyLlama model. -2. The model will be available at `~jan/models/tinyllama-1.1b`. - -### Step 2: Clone and Run the Program - -1. Clone this [GitHub repository](https://github.com/InNoobWeTrust/nitro-raycast). -2. Execute the project using the following command: - -```sh title="Node.js" -npm i && npm run dev -``` - -### Step 3: Search for Nitro and Run the Model - -Search for `Nitro` using the program and you can use the models from Jan in RayCast. diff --git a/docs/docs/guides/integrations/router.mdx b/docs/docs/guides/integrations/router.mdx deleted file mode 100644 index 42d1b1940..000000000 --- a/docs/docs/guides/integrations/router.mdx +++ /dev/null @@ -1,74 +0,0 @@ ---- -title: OpenRouter -slug: /integrations/openrouter -sidebar_position: 2 -description: A step-by-step guide on how to integrate Jan with OpenRouter. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - OpenRouter integration, - OpenRouter, - ] ---- - -## Integrate OpenRouter with Jan - -[OpenRouter](https://openrouter.ai/docs#quick-start) is a tool that gathers AI models. Developers can utilize its API to engage with diverse large language models, generative image models, and generative 3D object models. - -To connect Jan with OpenRouter for accessing remote Large Language Models (LLMs) through OpenRouter, you can follow the steps below: - -### Step 1: Configure OpenRouter API key - -1. Find your API keys in the [OpenRouter API Key](https://openrouter.ai/keys). -2. Set the OpenRouter API key in `~/jan/engines/openai.json` file. - -### Step 2: Model Configuration - -1. Go to the directory `~/jan/models`. -2. Make a new folder called `openrouter-(modelname)`, like `openrouter-dolphin-mixtral-8x7b`. -3. Inside the folder, create a `model.json` file with the following settings: - -- Set the `id` property to the model id obtained from OpenRouter. -- Set the `format` property to `api`. -- Set the `engine` property to `openai`. -- Ensure the `state` property is set to `ready`. - -```json title="~/jan/models/openrouter-dolphin-mixtral-8x7b/model.json" -{ - "sources": [ - { - "filename": "openrouter", - "url": "https://openrouter.ai/" - } - ], - "id": "cognitivecomputations/dolphin-mixtral-8x7b", - "object": "model", - "name": "Dolphin 2.6 Mixtral 8x7B", - "version": "1.0", - "description": "This is a 16k context fine-tune of Mixtral-8x7b. It excels in coding tasks due to extensive training with coding data and is known for its obedience, although it lacks DPO tuning. The model is uncensored and is stripped of alignment and bias. It requires an external alignment layer for ethical use. Users are cautioned to use this highly compliant model responsibly, as detailed in a blog post about uncensored models at erichartford.com/uncensored-models.", - "format": "api", - "settings": {}, - "parameters": {}, - "metadata": { - "tags": ["General", "Big Context Length"] - }, - "engine": "openai" -} -``` - -:::note -For more details regarding the `model.json` settings and parameters fields, please see [here](/guides/engines/remote-server/#modeljson). -::: - -### Step 3 : Start the Model - -1. Restart Jan and go to the **Hub**. -2. Find your model and click on the **Use** button. diff --git a/docs/docs/guides/integrations/unsloth.mdx b/docs/docs/guides/integrations/unsloth.mdx deleted file mode 100644 index b99fa5ee7..000000000 --- a/docs/docs/guides/integrations/unsloth.mdx +++ /dev/null @@ -1,22 +0,0 @@ ---- -title: Unsloth -sidebar_position: 20 -slug: /integrations/unsloth -description: A step-by-step guide on how to integrate Jan with Unsloth. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - Continue integration, - Unsloth integration, - ] ---- - -Coming Soon diff --git a/docs/docs/guides/integrations/vscode.mdx b/docs/docs/guides/integrations/vscode.mdx deleted file mode 100644 index 943ba7968..000000000 --- a/docs/docs/guides/integrations/vscode.mdx +++ /dev/null @@ -1,102 +0,0 @@ ---- -title: Continue Integration -sidebar_position: 18 -slug: /integrations/continue -description: A step-by-step guide on how to integrate Jan with Continue and VS Code. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - Continue integration, - VSCode integration, - ] ---- - -import Tabs from '@theme/Tabs'; -import TabItem from '@theme/TabItem'; - -## Integrate with Continue VS Code - -[Continue](https://continue.dev/docs/intro) is an open-source autopilot compatible with Visual Studio Code and JetBrains, offering the simplest method to code with any LLM (Local Language Model). - -To integrate Jan with a local AI language model, follow the steps below: - -### Step 1: Installing Continue on Visal Studio Code - -Follow this [guide to install the Continue extension on Visual Studio Code](https://continue.dev/docs/quickstart) - -### Step 2: Enable the Jan API Server - -To set up Continue for use with Jan's Local Server, you must activate the Jan API Server with your chosen model. - -1. Press the `<>` button. Jan will take you to the **Local API Server** section. - -2. Setup the server, which includes the **IP Port**, **Cross-Origin-Resource-Sharing (CORS)** and **Verbose Server Logs**. - -3. Press the **Start Server** button - -### Step 3: Configure Continue to Use Jan's Local Server - -1. Go to the `~/.continue` directory. - - - - ```sh - cd ~/.continue - ``` - - - ```sh - C:/Users//.continue - ``` - - - ```sh - cd ~/.continue - ``` - - - -```json title="~/.continue/config.json" -{ - "models": [ - { - "title": "Jan", - "provider": "openai", - "model": "mistral-ins-7b-q4", - "apiKey": "EMPTY", - "apiBase": "http://localhost:1337" - } - ] -} -``` - -2. Ensure the file has the following configurations: - - Ensure `openai` is selected as the `provider`. - - Match the `model` with the one enabled in the Jan API Server. - - Set `apiBase` to `http://localhost:1337`. - - Leave the `apiKey` field to `EMPTY`. - -### Step 4: Ensure the Using Model Is Activated in Jan - -1. Navigate to `Settings` > `Models`. -2. Activate the model you want to use in Jan by clicking the **three dots (⋮)** and select **Start Model**. - -## Try out Jan integration with Continue in Visual Studio Code - -### 1. Asking questions about the code - -1. Highlight a code snippet and press `Command + Shift + M` to open the Left Panel. -2. Select Jan at the bottom and ask a question about the code, for example, `Explain this code`. - -### 2. Editing the code with the help of a large language model - -1. Select a code snippet and use `Command + Shift + L`. -2. 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deleted file mode 100644 index f361e16ab..000000000 Binary files a/docs/docs/guides/local-providers/assets/vscode.png and /dev/null differ diff --git a/docs/docs/guides/local-providers/llamacpp.mdx b/docs/docs/guides/local-providers/llamacpp.mdx deleted file mode 100644 index ca6285c4a..000000000 --- a/docs/docs/guides/local-providers/llamacpp.mdx +++ /dev/null @@ -1,91 +0,0 @@ ---- -title: LlamaCPP Extension -slug: /guides/engines/llamacpp -sidebar_position: 1 -description: A step-by-step guide on how to customize the LlamaCPP extension. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - Llama CPP integration, - LlamaCPP Extension, - ] ---- - -import Tabs from '@theme/Tabs'; -import TabItem from '@theme/TabItem'; - -## Overview - -[Nitro](https://github.com/janhq/nitro) is an inference server on top of [llama.cpp](https://github.com/ggerganov/llama.cpp). It provides an OpenAI-compatible API, queue, & scaling. - -## LlamaCPP Extension - -:::note -Nitro is the default AI engine downloaded with Jan. There is no additional setup needed. -::: - -In this guide, we'll walk you through the process of customizing your engine settings by configuring the `nitro.json` file - -1. Navigate to the `App Settings` > `Advanced` > `Open App Directory` > `~/jan/engine` folder. - - - - ```sh - cd ~/jan/engines - ``` - - - ```sh - C:/Users//jan/engines - ``` - - - ```sh - cd ~/jan/engines - ``` - - - -2. Modify the `nitro.json` file based on your needs. The default settings are shown below. - -```json title="~/jan/engines/nitro.json" -{ - "ctx_len": 2048, - "ngl": 100, - "cpu_threads": 1, - "cont_batching": false, - "embedding": false -} -``` - -The table below describes the parameters in the `nitro.json` file. - -| Parameter | Type | Description | -| --------------- | ----------- | ---------------------------------------------------------------------------------------------------------------------------------- | -| `ctx_len` | **Integer** | Typically set at `2048`, `ctx_len` provides ample context for model operations like `GPT-3.5`. (_Maximum_: `4096`, _Minimum_: `1`) | -| `ngl` | **Integer** | Defaulted at `100`, `ngl` determines GPU layer usage. | -| `cpu_threads` | **Integer** | Determines CPU inference threads, limited by hardware and OS. (_Maximum_ determined by system) | -| `cont_batching` | **Integer** | Controls continuous batching, enhancing throughput for LLM inference. | -| `embedding` | **Integer** | Enables embedding utilization for tasks like document-enhanced chat in RAG-based applications. | - -:::tip - -- By default, the value of `ngl` is set to 100, which indicates that it will offload all. If you wish to offload only 50% of the GPU, you can set `ngl` to 15 because most models on Mistral or Llama are around ~ 30 layers. -- To utilize the embedding feature, include the JSON parameter `"embedding": true`. It will enable Nitro to process inferences with embedding capabilities. Please refer to the [Embedding in the Nitro documentation](https://nitro.jan.ai/features/embed) for a more detailed explanation. -- To utilize the continuous batching feature for boosting throughput and minimizing latency in large language model (LLM) inference, include `cont_batching: true`. For details, please refer to the [Continuous Batching in the Nitro documentation](https://nitro.jan.ai/features/cont-batch). - -::: - -:::info[Assistance and Support] - -If you have questions, please join our [Discord community](https://discord.gg/Dt7MxDyNNZ) for support, updates, and discussions. - -::: diff --git a/docs/docs/guides/local-providers/lmstudio.mdx b/docs/docs/guides/local-providers/lmstudio.mdx deleted file mode 100644 index db4234700..000000000 --- a/docs/docs/guides/local-providers/lmstudio.mdx +++ /dev/null @@ -1,176 +0,0 @@ ---- -title: LM Studio -slug: /guides/engines/lmstudio -sidebar_position: 8 -description: A step-by-step guide on how to integrate Jan with LM Studio. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - LM Studio integration, - ] ---- - -## Integrate LM Studio with Jan - -[LM Studio](https://lmstudio.ai/) enables you to explore, download, and run local Large Language Models (LLMs). You can integrate Jan with LM Studio using two methods: - -1. Integrate the LM Studio server with Jan UI -2. Migrate your downloaded model from LM Studio to Jan. - -To integrate LM Studio with Jan follow the steps below: - -:::note - -In this guide, we're going to show you how to connect Jan to [LM Studio](https://lmstudio.ai/) using the second method. We'll use the [Phi 2 - GGUF](https://huggingface.co/TheBloke/phi-2-GGUF) model from Hugging Face as our example. -::: - -### Step 1: Server Setup - -1. Access the `Local Inference Server` within LM Studio. -2. Select your desired model. -3. Start the server after configuring the port and options. - -4. Update the `openai.json` file in `~/jan/engines` to include the LM Studio server's full URL. - -```json title="~/jan/engines/openai.json" -{ - "full_url": "http://localhost:/v1/chat/completions" -} -``` - -:::tip - -Replace `(port)` with your chosen port number. The default is 1234. - -::: - -### Step 2: Model Configuration - -1. Navigate to `~/jan/models`. -2. Create a folder named `lmstudio-(modelname)`, like `lmstudio-phi-2`. -3. Inside, create a `model.json` file with these options: - - Set `format` to `api`. - - Specify `engine` as `openai`. - - Set `state` to `ready`. - -```json title="~/jan/models/lmstudio-phi-2/model.json" -{ - "sources": [ - { - "filename": "phi-2-GGUF", - "url": "https://huggingface.co/TheBloke/phi-2-GGUF" - } - ], - "id": "lmstudio-phi-2", - "object": "model", - "name": "LM Studio - Phi 2 - GGUF", - "version": "1.0", - "description": "TheBloke/phi-2-GGUF", - "format": "api", - "settings": {}, - "parameters": {}, - "metadata": { - "author": "Microsoft", - "tags": ["General", "Big Context Length"] - }, - "engine": "openai" -} -``` - -:::note -For more details regarding the `model.json` settings and parameters fields, please see [here](/guides/engines/remote-server/#modeljson). -::: - -### Step 3: Starting the Model - -1. Restart Jan and proceed to the **Hub**. -2. Locate your model and click **Use** to activate it. - -## Migrating Models from LM Studio to Jan (version 0.4.6 and older) - -### Step 1: Model Migration - -1. In LM Studio, navigate to `My Models` and access your model folder. -2. Copy the model folder to `~/jan/models`. -3. Ensure the folder name matches the model name in the `.gguf` filename. Rename as necessary. - -### Step 2: Activating the Model - -1. Restart Jan and navigate to the **Hub**, where the model will be automatically detected. -2. Click **Use** to use the model. - -## Direct Access to LM Studio Models from Jan (version 0.4.7+) - -Starting from version 0.4.7, Jan enables direct import of LM Studio models using absolute file paths. - -### Step 1: Locating the Model Path - -1. Access `My Models` in LM Studio and locate your model folder. -2. Obtain the absolute path of your model. - -### Step 2: Model Configuration - -1. Go to `~/jan/models`. -2. Create a folder named `(modelname)` (e.g., `phi-2.Q4_K_S`). -3. Inside, craft a `model.json` file: - - Set `id` to match the folder name. - - Use the direct binary download link ending in `.gguf` as the `url`. You can now use the absolute filepath of the model file. - - Set `engine` as `nitro`. - -```json -{ - "object": "model", - "version": 1, - "format": "gguf", - "sources": [ - { - "filename": "phi-2.Q4_K_S.gguf", - "url": "" - } - ], - "id": "phi-2.Q4_K_S", - "name": "phi-2.Q4_K_S", - "created": 1708308111506, - "description": "phi-2.Q4_K_S - user self import model", - "settings": { - "ctx_len": 4096, - "embedding": false, - "prompt_template": "{system_message}\n### Instruction: {prompt}\n### Response:", - "llama_model_path": "phi-2.Q4_K_S.gguf" - }, - "parameters": { - "temperature": 0.7, - "top_p": 0.95, - "stream": true, - "max_tokens": 2048, - "stop": [""], - "frequency_penalty": 0, - "presence_penalty": 0 - }, - "metadata": { - "size": 1615568736, - "author": "User", - "tags": [] - }, - "engine": "nitro" -} -``` - -:::warning - -For Windows users, ensure to include double backslashes in the URL property, such as `C:\\Users\\username\\filename.gguf`. - -::: - -### Step 3: Starting the Model - -1. Restart Jan and proceed to the **Hub**. -2. Locate your model and click **Use** to activate it. diff --git a/docs/docs/guides/local-providers/ollama.mdx b/docs/docs/guides/local-providers/ollama.mdx deleted file mode 100644 index 2f7a26227..000000000 --- a/docs/docs/guides/local-providers/ollama.mdx +++ /dev/null @@ -1,93 +0,0 @@ ---- -title: Ollama -slug: /guides/engines/ollama -sidebar_position: 4 -description: A step-by-step guide on how to integrate Jan with Ollama. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - Ollama integration, - ] ---- - -## Integrate Ollama with Jan - -Ollama provides you with largen language that you can run locally. There are two methods to integrate Ollama with Jan: - -1. Integrate Ollama server with Jan. -2. Migrate the downloaded model from Ollama to Jan. - -To integrate Ollama with Jan, follow the steps below: - -:::note -In this tutorial, we'll show how to integrate Ollama with Jan using the first method. We will use the [llama2](https://ollama.com/library/llama2) model as an example. -::: - -### Step 1: Start the Ollama Server - -1. Choose your model from the [Ollama library](https://ollama.com/library). -2. Run your model with this command: - -```sh -ollama run -``` - -3. According to the [Ollama documentation on OpenAI compatibility](https://github.com/ollama/ollama/blob/main/docs/openai.md), you can connect to the Ollama server using the web address `http://localhost:11434/v1/chat/completions`. To do this, change the `openai.json` file in the `~/jan/engines` folder to add the Ollama server's full web address: - -```json title="~/jan/engines/openai.json" -{ - "full_url": "http://localhost:11434/v1/chat/completions" -} -``` - -### Step 2: Model Configuration - -1. Navigate to the `~/jan/models` folder. -2. Create a folder named `(ollam-modelname)`, for example, `lmstudio-phi-2`. -3. Create a `model.json` file inside the folder including the following configurations: - -- Set the `id` property to the model name as Ollama model name. -- Set the `format` property to `api`. -- Set the `engine` property to `openai`. -- Set the `state` property to `ready`. - -```json title="~/jan/models/llama2/model.json" -{ - "sources": [ - { - "filename": "llama2", - "url": "https://ollama.com/library/llama2" - } - ], - "id": "llama2", - "object": "model", - "name": "Ollama - Llama2", - "version": "1.0", - "description": "Llama 2 is a collection of foundation language models ranging from 7B to 70B parameters.", - "format": "api", - "settings": {}, - "parameters": {}, - "metadata": { - "author": "Meta", - "tags": ["General", "Big Context Length"] - }, - "engine": "openai" -} -``` - -:::note -For more details regarding the `model.json` settings and parameters fields, please see [here](/guides/engines/remote-server/#modeljson). -::: - -### Step 3: Start the Model - -1. Restart Jan and navigate to the **Hub**. -2. Locate your model and click the **Use** button. diff --git a/docs/docs/guides/local-providers/tensorrt.mdx b/docs/docs/guides/local-providers/tensorrt.mdx deleted file mode 100644 index 46f4346c9..000000000 --- a/docs/docs/guides/local-providers/tensorrt.mdx +++ /dev/null @@ -1,115 +0,0 @@ ---- -title: TensorRT-LLM Extension -slug: /guides/engines/tensorrt-llm -sidebar_position: 2 -description: A step-by-step guide on how to customize the TensorRT-LLM extension. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - TensorRT-LLM Extension, - TensorRT, - tensorRT, - extension, - ] ---- - -## Overview - -Users with Nvidia GPUs can get **20-40% faster token speeds** compared to using LlamaCPP engine on their laptop or desktops by using [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM). The greater implication is that you are running FP16, which is also more accurate than quantized models. - -## TensortRT-LLM Extension - -This guide walks you through how to install Jan's official [TensorRT-LLM Extension](https://github.com/janhq/nitro-tensorrt-llm). This extension uses [Nitro-TensorRT-LLM](https://github.com/janhq/nitro-tensorrt-llm) as the AI engine, instead of the default [Nitro-Llama-CPP](https://github.com/janhq/nitro). It includes an efficient C++ server to natively execute the [TRT-LLM C++ runtime](https://nvidia.github.io/TensorRT-LLM/gpt_runtime.html). It also comes with additional feature and performance improvements like OpenAI compatibility, tokenizer improvements, and queues. - -:::warning - -- This feature is only available for Windows users. Linux is coming soon. - -- Additionally, we only prebuilt a few demo models. You can always build your desired models directly on your machine. For more information, please see [here](#build-your-own-tensorrt-models). - -::: - -### Pre-requisites - -- A Windows PC -- Nvidia GPU(s): Ada or Ampere series (i.e. RTX 4000s & 3000s). More will be supported soon. -- 3GB+ of disk space to download TRT-LLM artifacts and a Nitro binary -- Jan v0.4.9+ or Jan v0.4.8-321+ (nightly) -- Nvidia Driver v535+ (For installation guide, please see [here](/troubleshooting/#1-ensure-gpu-mode-requirements)) -- CUDA Toolkit v12.2+ (For installation guide, please see [here](/troubleshooting/#1-ensure-gpu-mode-requirements)) - -### Step 1: Install TensorRT-Extension - -1. Go to **Settings** > **Extensions**. -2. Click **Install** next to the TensorRT-LLM Extension. -3. Check that files are correctly downloaded. - -```sh -ls ~\jan\extensions\@janhq\tensorrt-llm-extension\dist\bin -# Your Extension Folder should now include `nitro.exe`, among other artifacts needed to run TRT-LLM -``` - -### Step 2: Download a Compatible Model - -TensorRT-LLM can only run models in `TensorRT` format. These models, aka "TensorRT Engines", are prebuilt specifically for each target OS+GPU architecture. - -We offer a handful of precompiled models for Ampere and Ada cards that you can immediately download and play with: - -1. Restart the application and go to the Hub. -2. Look for models with the `TensorRT-LLM` label in the recommended models list > Click **Download**. - -:::note -This step might take some time. 🙏 -::: - -![image](https://hackmd.io/_uploads/rJewrEgRp.png) - -3. Click use and start chatting! -4. You may need to allow Nitro in your network - -![alt text](./assets/image.png) - -:::warning -If you are our nightly builds, you may have to reinstall the TensorRT-LLM extension each time you update the app. We're working on better extension lifecyles - stay tuned. -::: - -### Step 3: Configure Settings - -You can customize the default parameters for how Jan runs TensorRT-LLM. - -:::info -coming soon -::: - -## Troubleshooting - -### Incompatible Extension vs Engine versions - -For now, the model versions are pinned to the extension versions. - -### Uninstall Extension - -To uninstall the extension, follow the steps below: - -1. Quit the app. -2. Go to **Settings** > **Extensions**. -3. Delete the entire Extensions folder. -4. Reopen the app, only the default extensions should be restored. - -### Install Nitro-TensorRT-LLM manually - -To manually build the artifacts needed to run the server and TensorRT-LLM, you can reference the source code. [Read here](https://github.com/janhq/nitro-tensorrt-llm?tab=readme-ov-file#quickstart). - -### Build your own TensorRT models - -:::info -coming soon -::: diff --git a/docs/docs/guides/providers/tensorrt-llm.md b/docs/docs/guides/providers/tensorrt-llm.md deleted file mode 100644 index f73168873..000000000 --- a/docs/docs/guides/providers/tensorrt-llm.md +++ /dev/null @@ -1,226 +0,0 @@ ---- -title: TensorRT-LLM -slug: /guides/providers/tensorrt-llm -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - TensorRT-LLM Extension, - TensorRT, - tensorRT, - extension, - ] ---- - -:::info - -TensorRT-LLM support was launched in 0.4.9, and should be regarded as an Experimental feature. - -- Only Windows is supported for now. -- Please report bugs in our Discord's [#tensorrt-llm](https://discord.com/channels/1107178041848909847/1201832734704795688) channel. - -::: - -Jan supports [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM) as an alternate Inference Engine, for users who have Nvidia GPUs with large VRAM. TensorRT-LLM allows for blazing fast inference, but requires Nvidia GPUs with [larger VRAM](https://nvidia.github.io/TensorRT-LLM/memory.html). - -## What is TensorRT-LLM? - -[TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM) is an hardware-optimized LLM inference engine for Nvidia GPUs, that compiles models to run extremely fast on Nvidia GPUs. - -- Mainly used on Nvidia's Datacenter-grade GPUs like the H100s [to produce 10,000 tok/s](https://nvidia.github.io/TensorRT-LLM/blogs/H100vsA100.html). -- Can be used on Nvidia's workstation (e.g. [A6000](https://www.nvidia.com/en-us/design-visualization/rtx-6000/)) and consumer-grade GPUs (e.g. [RTX 4090](https://www.nvidia.com/en-us/geforce/graphics-cards/40-series/rtx-4090/)) - -:::tip[Benefits] - -- Our performance testing shows 20-40% faster token/s speeds on consumer-grade GPUs -- On datacenter-grade GPUs, TensorRT-LLM can go up to 10,000 tokens/s -- TensorRT-LLM is a relatively new library, that was [released in Sept 2023](https://github.com/NVIDIA/TensorRT-LLM/graphs/contributors). We anticipate performance and resource utilization improvements in the future. - -::: - -:::warning[Caveats] - -- TensorRT-LLM requires models to be compiled into GPU and OS-specific "Model Engines" (vs. GGUF's "convert once, run anywhere" approach) -- TensorRT-LLM Model Engines tend to utilize larger amount of VRAM and RAM in exchange for performance -- This usually means only people with top-of-the-line Nvidia GPUs can use TensorRT-LLM - -::: - -## Requirements - -### Hardware - -- Windows PC -- Nvidia GPU(s): Ada or Ampere series (i.e. RTX 4000s & 3000s). More will be supported soon. -- 3GB+ of disk space to download TRT-LLM artifacts and a Nitro binary - -**Compatible GPUs** - -| Architecture | Supported? | Consumer-grade | Workstation-grade | -| ------------ | ---------- | -------------- | ----------------- | -| Ada | ✅ | 4050 and above | RTX A2000 Ada | -| Ampere | ✅ | 3050 and above | A100 | -| Turing | ❌ | Not Supported | Not Supported | - -:::info - -Please ping us in Discord's [#tensorrt-llm](https://discord.com/channels/1107178041848909847/1201832734704795688) channel if you would like Turing support. - -::: - -### Software - -- Jan v0.4.9+ or Jan v0.4.8-321+ (nightly) -- [Nvidia Driver v535+](https://jan.ai/guides/common-error/not-using-gpu/#1-ensure-gpu-mode-requirements) -- [CUDA Toolkit v12.2+](https://jan.ai/guides/common-error/not-using-gpu/#1-ensure-gpu-mode-requirements) - -## Getting Started - -### Install TensorRT-Extension - -1. Go to Settings > Extensions -2. Install the TensorRT-LLM Extension - -:::info -You can check if files have been correctly downloaded: - -```sh -ls ~\jan\extensions\@janhq\tensorrt-llm-extension\dist\bin -# Your Extension Folder should now include `nitro.exe`, among other `.dll` files needed to run TRT-LLM -``` - -::: - -### Download a TensorRT-LLM Model - -Jan's Hub has a few pre-compiled TensorRT-LLM models that you can download, which have a `TensorRT-LLM` label - -- We automatically download the TensorRT-LLM Model Engine for your GPU architecture -- We have made a few 1.1b models available that can run even on Laptop GPUs with 8gb VRAM - -| Model | OS | Ada (40XX) | Ampere (30XX) | Description | -| ------------------- | ------- | ---------- | ------------- | --------------------------------------------------- | -| Llamacorn 1.1b | Windows | ✅ | ✅ | TinyLlama-1.1b, fine-tuned for usability | -| TinyJensen 1.1b | Windows | ✅ | ✅ | TinyLlama-1.1b, fine-tuned on Jensen Huang speeches | -| Mistral Instruct 7b | Windows | ✅ | ✅ | Mistral | - -### Importing Pre-built Models - -You can import a pre-built model, by creating a new folder in Jan's `/models` directory that includes: - -- TensorRT-LLM Engine files (e.g. `tokenizer`, `.engine`, etc) -- `model.json` that registers these files, and specifies `engine` as `nitro-tensorrt-llm` - -:::note[Sample model.json] - -Note the `engine` is `nitro-tensorrt-llm`: this won't work without it! - -```js -{ - "sources": [ - { - "filename": "config.json", - "url": "https://delta.jan.ai/dist/models///tensorrt-llm-v0.7.1/TinyJensen-1.1B-Chat-fp16/config.json" - }, - { - "filename": "mistral_float16_tp1_rank0.engine", - "url": "https://delta.jan.ai/dist/models///tensorrt-llm-v0.7.1/TinyJensen-1.1B-Chat-fp16/mistral_float16_tp1_rank0.engine" - }, - { - "filename": "tokenizer.model", - "url": "https://delta.jan.ai/dist/models///tensorrt-llm-v0.7.1/TinyJensen-1.1B-Chat-fp16/tokenizer.model" - }, - { - "filename": "special_tokens_map.json", - "url": "https://delta.jan.ai/dist/models///tensorrt-llm-v0.7.1/TinyJensen-1.1B-Chat-fp16/special_tokens_map.json" - }, - { - "filename": "tokenizer.json", - "url": "https://delta.jan.ai/dist/models///tensorrt-llm-v0.7.1/TinyJensen-1.1B-Chat-fp16/tokenizer.json" - }, - { - "filename": "tokenizer_config.json", - "url": "https://delta.jan.ai/dist/models///tensorrt-llm-v0.7.1/TinyJensen-1.1B-Chat-fp16/tokenizer_config.json" - }, - { - "filename": "model.cache", - "url": "https://delta.jan.ai/dist/models///tensorrt-llm-v0.7.1/TinyJensen-1.1B-Chat-fp16/model.cache" - } - ], - "id": "tinyjensen-1.1b-chat-fp16", - "object": "model", - "name": "TinyJensen 1.1B Chat FP16", - "version": "1.0", - "description": "Do you want to chat with Jensen Huan? Here you are", - "format": "TensorRT-LLM", - "settings": { - "ctx_len": 2048, - "text_model": false - }, - "parameters": { - "max_tokens": 4096 - }, - "metadata": { - "author": "LLama", - "tags": [ - "TensorRT-LLM", - "1B", - "Finetuned" - ], - "size": 2151000000 - }, - "engine": "nitro-tensorrt-llm" -} -``` - -::: - -### Using a TensorRT-LLM Model - -You can just select and use a TensorRT-LLM model from Jan's Thread interface. - -- Jan will automatically start the TensorRT-LLM model engine in the background -- You may encounter a pop-up from Windows Security, asking for Nitro to allow public and private network access - -:::info[Why does Nitro need network access?] - -- This is because Jan runs TensorRT-LLM using the [Nitro Server](https://github.com/janhq/nitro-tensorrt-llm/) -- Jan makes network calls to the Nitro server running on your computer on a separate port - -::: - -### Configure Settings - -:::note -coming soon -::: - -## Troubleshooting - -## Extension Details - -Jan's TensorRT-LLM Extension is built on top of the open source [Nitro TensorRT-LLM Server](https://github.com/janhq/nitro-tensorrt-llm), a C++ inference server on top of TensorRT-LLM that provides an OpenAI-compatible API. - -### Manual Build - -To manually build the artifacts needed to run the server and TensorRT-LLM, you can reference the source code. [Read here](https://github.com/janhq/nitro-tensorrt-llm?tab=readme-ov-file#quickstart). - -### Uninstall Extension - -1. Quit the app -2. Go to Settings > Extensions -3. Delete the entire Extensions folder. -4. 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differ diff --git a/docs/docs/guides/remote-providers/claude.mdx b/docs/docs/guides/remote-providers/claude.mdx deleted file mode 100644 index 968a469fe..000000000 --- a/docs/docs/guides/remote-providers/claude.mdx +++ /dev/null @@ -1,22 +0,0 @@ ---- -title: Claude -sidebar_position: 6 -slug: /guides/engines/claude -description: A step-by-step guide on how to integrate Jan with LM Studio. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - Claude integration, - claude, - ] ---- - -Coming Soon diff --git a/docs/docs/guides/remote-providers/groq.mdx b/docs/docs/guides/remote-providers/groq.mdx deleted file mode 100644 index c9837bcfc..000000000 --- a/docs/docs/guides/remote-providers/groq.mdx +++ /dev/null @@ -1,84 +0,0 @@ ---- -title: Groq -sidebar_position: 5 -slug: /guides/engines/groq -description: Learn how to integrate Groq API with Jan for enhanced functionality. -keywords: - [ - Groq API, - Jan, - Jan AI, - ChatGPT alternative, - conversational AI, - large language model, - integration, - Groq integration, - API integration - ] ---- - -## How to Integrate Mistral AI with Jan - -This guide provides step-by-step instructions on integrating the Groq API with Jan, enabling users to leverage Groq's capabilities within Jan's conversational interface. - -Before proceeding, ensure you have the following: -- Access to the Jan Application -- Groq API credentials - -## Integration Steps - -### Step 1: Obtain Groq API Credentials - -If you haven't already, sign up for the Groq API and obtain your API credentials. -Obtain Groq API keys from your [Groq Console](https://console.groq.com/keys). - -### Step 2: Configure Jan Settings - -1. Insert the Groq AI API key into `~/jan/engines/openai.json`. - -```json title="~/jan/engines/openai.json" -{ - "full_url": "https://api.groq.com/openai/v1/chat/completions", - "api_key": "" -} -``` - -### Step 3: Enable Groq Integration - -To set up the configuration for Groq in Jan, follow these steps: - -1. Navigate to `~/jan/models`. -2. Create a folder named `groq`. -3. Inside the groq folder, create a model.json file with the specified settings: -```json title="~/jan/models/groq/model.json -{ - "id": "mixtral-8x7b-32768", - "object": "model", - "name": "Groq Integration", - "version": "1.0", - "description": "Integration with Groq API for enhanced functionality.", - "format": "api", - "sources": [], - "settings": {}, - "parameters": {}, - "metadata": { - "author": "Mistral", - "tags": ["Groq Integration"] - }, - "engine": "openai" -} -``` - -### Step 4: Start the Model - -1. Restart Jan and navigate to the **Hub**. -2. Locate your model and click the **Use** button. - -## Troubleshooting - -If you encounter any issues during the integration process or while using Groq with Jan, consider the following troubleshooting steps: - -- Double-check your API credentials and ensure they are correctly entered. -- Verify that the Groq integration is enabled within Jan's settings. -- Check for any error messages or logs that may provide insight into the issue. -- Reach out to Groq API support for assistance if needed. \ No newline at end of file diff --git a/docs/docs/guides/remote-providers/mistral.mdx b/docs/docs/guides/remote-providers/mistral.mdx deleted file mode 100644 index e93a02183..000000000 --- a/docs/docs/guides/remote-providers/mistral.mdx +++ /dev/null @@ -1,89 +0,0 @@ ---- -title: Mistral AI -sidebar_position: 4 -slug: /guides/engines/mistral -description: A step-by-step guide on how to integrate Jan with Mistral AI. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - Mistral integration, - ] ---- - -## How to Integrate Mistral AI with Jan - -[Mistral AI](https://docs.mistral.ai/) provides two ways to use their Large Language Models (LLM): - -1. API -2. Open-source models on Hugging Face. - -To integrate Jan with Mistral AI, follow the steps below: - -:::note -This tutorial demonstrates integrating Mistral AI with Jan using the API. -::: - -### Step 1: Configure Mistral API Key - -1. Obtain Mistral API keys from your [Mistral](https://console.mistral.ai/user/api-keys/) dashboard. -2. Insert the Mistral AI API key into `~/jan/engines/openai.json`. - -```json title="~/jan/engines/openai.json" -{ - "full_url": "https://api.mistral.ai/v1/chat/completions", - "api_key": "" -} -``` - -### Step 2: Model Configuration - -1. Navigate to `~/jan/models`. -2. Create a folder named `mistral-(modelname)` (e.g., `mistral-tiny`). -3. Inside, create a `model.json` file with these settings: - - Set `id` to the Mistral AI model ID. - - Set `format` to `api`. - - Set `engine` to `openai`. - - Set `state` to `ready`. - -```json title="~/jan/models/mistral-tiny/model.json" -{ - "sources": [ - { - "filename": "mistral-tiny", - "url": "https://mistral.ai/" - } - ], - "id": "mistral-tiny", - "object": "model", - "name": "Mistral-7B-v0.2 (Tiny Endpoint)", - "version": "1.0", - "description": "Currently powered by Mistral-7B-v0.2, a better fine-tuning of the initial Mistral-7B released, inspired by the fantastic work of the community.", - "format": "api", - "settings": {}, - "parameters": {}, - "metadata": { - "author": "Mistral AI", - "tags": ["General", "Big Context Length"] - }, - "engine": "openai" -} -``` - -:::note - -- For more details regarding the `model.json` settings and parameters fields, please see [here](/guides/engines/remote-server/#modeljson). -- Mistral AI offers various endpoints. Refer to their [endpoint documentation](https://docs.mistral.ai/platform/endpoints/) to select the one that fits your requirements. Here, we use the `mistral-tiny` model as an example. - ::: - -### Step 3: Start the Model - -1. Restart Jan and navigate to the **Hub**. -2. Locate your model and click the **Use** button. diff --git a/docs/docs/guides/remote-providers/openai.mdx b/docs/docs/guides/remote-providers/openai.mdx deleted file mode 100644 index f0ac032c9..000000000 --- a/docs/docs/guides/remote-providers/openai.mdx +++ /dev/null @@ -1,83 +0,0 @@ ---- -title: Azure OpenAI -sidebar_position: 2 -slug: /guides/engines/openai -description: A step-by-step guide on how to integrate Jan with Azure OpenAI. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - integration, - Azure OpenAI Service, - ] ---- - -## Integrate Azure OpenAI with Jan - -The [Azure OpenAI Service](https://learn.microsoft.com/en-us/azure/ai-services/openai/overview?source=docs) offers robust APIs, making it simple for you to incorporate OpenAI's language models into your applications. You can integrate Azure OpenAI with Jan by following the steps below: - -### Step 1: Configure Azure OpenAI Service API Key - -1. Set up and deploy the Azure OpenAI Service. -2. Once you've set up and deployed Azure OpenAI Service, you can find the endpoint and API key in [Azure OpenAI Studio](https://oai.azure.com/) under `Chat` > `View code`. - -3. Set up the endpoint and API key for Azure OpenAI Service in the `~/jan/engines/openai.json` file. - -```json title="~/jan/engines/openai.json" -{ - // https://hieujan.openai.azure.com/openai/deployments/gpt-35-hieu-jan/chat/completions?api-version=2023-07-01-preview - "full_url": "https://.openai.azure.com/openai/deployments//chat/completions?api-version=", - "api_key": "" -} -``` - -### Step 2: Model Configuration - -1. Go to the `~/jan/models` directory. -2. Make a new folder called `(your-deployment-name)`, for example `gpt-35-hieu-jan`. -3. Create a `model.json` file inside the folder with the specified configurations: - -- Match the `id` property with both the folder name and your deployment name. -- Set the `format` property as `api`. -- Choose `openai` for the `engine` property. -- Set the `state` property as `ready`. - -```json title="~/jan/models/gpt-35-hieu-jan/model.json" -{ - "sources": [ - { - "filename": "azure_openai", - "url": "https://hieujan.openai.azure.com" - } - ], - "id": "gpt-35-hieu-jan", - "object": "model", - "name": "Azure OpenAI GPT 3.5", - "version": "1.0", - "description": "Azure Open AI GPT 3.5 model is extremely good", - "format": "api", - "settings": {}, - "parameters": {}, - "metadata": { - "author": "OpenAI", - "tags": ["General", "Big Context Length"] - }, - "engine": "openai" -} -``` - -:::note -For more details regarding the `model.json` settings and parameters fields, please see [here](/guides/engines/remote-server/#modeljson). -::: - -### Step 3: Start the Model - -1. Restart Jan and go to the Hub. -2. Find your model in Jan application and click on the Use button. diff --git a/docs/docs/guides/remote-providers/remote-server-integration.mdx b/docs/docs/guides/remote-providers/remote-server-integration.mdx deleted file mode 100644 index e96a5ba3d..000000000 --- a/docs/docs/guides/remote-providers/remote-server-integration.mdx +++ /dev/null @@ -1,195 +0,0 @@ ---- -title: Remote Server Integration -sidebar_position: 1 -slug: /guides/engines/remote-server -description: A step-by-step guide on how to set up Jan to connect with any remote or local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - import-models-manually, - remote server, - OAI compatible, - ] ---- - -This guide will show you how to configure Jan as a client and point it to any remote & local (self-hosted) API server. - -## OpenAI Platform Configuration - -### 1. Create a Model JSON - -1. In `~/jan/models`, create a folder named `gpt-3.5-turbo-16k`. - -2. In this folder, add a `model.json` file with Filename as `model.json`, `id` matching folder name, `Format` as `api`, `Engine` as `openai`, and `State` as `ready`. - -```json title="~/jan/models/gpt-3.5-turbo-16k/model.json" -{ - "sources": [ - { - "filename": "openai", - "url": "https://openai.com" - } - ], - "id": "gpt-3.5-turbo-16k", - "object": "model", - "name": "OpenAI GPT 3.5 Turbo 16k", - "version": "1.0", - "description": "OpenAI GPT 3.5 Turbo 16k model is extremely good", - "format": "api", - "settings": {}, - "parameters": {}, - "metadata": { - "author": "OpenAI", - "tags": ["General", "Big Context Length"] - }, - "engine": "openai" -} -``` - -### `model.json` - -The `model.json` file is used to set up your local models. -:::note - -- If you've set up your model's configuration in `nitro.json`, please note that `model.json` can overwrite the settings. -- When using OpenAI models like GPT-3.5 and GPT-4, you can use the default settings in `model.json` file. - ::: - -There are two important fields in model.json that you need to setup: - -#### Settings - -This is the field where to set your engine configurations, there are two imporant field that you need to define for your local models: - -| Term | Description | -| ----------------- | --------------------------------------------------------------------- | -| `ctx_len` | Defined based on the model's context size. | -| `prompt_template` | Defined based on the model's trained template (e.g., ChatML, Alpaca). | - -To set up the `prompt_template` based on your model, follow the steps below: 1. Visit [Hugging Face](https://huggingface.co/), an open-source machine learning platform. 2. Find the current model that you're using (e.g., [Gemma 7b it](https://huggingface.co/google/gemma-7b-it)). 3. Review the text and identify the template. - -#### Parameters - -`parameters` is the adjustable settings that affect how your model operates or processes the data. -The fields in `parameters` are typically general and can be the same across models. An example is provided below: - -```json -"parameters":{ - "temperature": 0.7, - "top_p": 0.95, - "stream": true, - "max_tokens": 4096, - "frequency_penalty": 0, - "presence_penalty": 0 -} -``` - -:::tip - -- You can find the list of available models in the [OpenAI Platform](https://platform.openai.com/docs/models/overview). -- The `id` property needs to match the model name in the list. - - For example, if you want to use the [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo), you must set the `id` property to `gpt-4-1106-preview`. - -::: - -### 2. Configure OpenAI API Keys - -1. Find your API keys in the [OpenAI Platform](https://platform.openai.com/api-keys). -2. Set the OpenAI API keys in `~/jan/engines/openai.json` file. - -```json title="~/jan/engines/openai.json" -{ - "full_url": "https://api.openai.com/v1/chat/completions", - "api_key": "sk-" -} -``` - -### 3. Start the Model - -Restart Jan and navigate to the Hub. Then, select your configured model and start the model. - -## Engines with OAI Compatible Configuration - -This section will show you how to configure a client connection to a remote/local server using Jan's API server running model `mistral-ins-7b-q4` as an example. - -:::note - -Currently, you can only connect to one OpenAI-compatible endpoint at a time. - -::: - -### 1. Configure a Client Connection - -1. Navigate to the `~/jan/engines` folder. -2. Modify the `openai.json file`. - -:::note - -Please note that currently, the code that supports any OpenAI-compatible endpoint only reads `engine/openai.json` file. Thus, it will not search any other files in this directory. - -::: - -3. Configure `full_url` properties with the endpoint server that you want to connect. For example, if you're going to communicate to Jan's API server, you can configure it as follows: - -```json title="~/jan/engines/openai.json" -{ - // "full_url": "https://:/v1/chat/completions" - "full_url": "https://:1337/v1/chat/completions" - // Skip api_key if your local server does not require authentication - // "api_key": "sk-" -} -``` - -### 2. Create a Model JSON - -1. In `~/jan/models`, create a folder named `mistral-ins-7b-q4`. - -2. In this folder, add a `model.json` file with Filename as `model.json`, ensure the following configurations: - -- `id` matching folder name. -- `Format` set to `api`. -- `Engine` set to `openai` -- `State` set to `ready`. - -```json title="~/jan/models/mistral-ins-7b-q4/model.json" -{ - "sources": [ - { - "filename": "janai", - "url": "https://jan.ai" - } - ], - "id": "mistral-ins-7b-q4", - "object": "model", - "name": "Mistral Instruct 7B Q4 on Jan API Server", - "version": "1.0", - "description": "Jan integration with remote Jan API server", - "format": "api", - "settings": {}, - "parameters": {}, - "metadata": { - "author": "MistralAI, The Bloke", - "tags": ["remote", "awesome"] - }, - "engine": "openai" -} -``` - -### 3. Start the Model - -1. Restart Jan and navigate to the **Hub**. -2. Locate your model and click the **Use** button. - -:::info[Assistance and Support] - -If you have questions or want more preconfigured GGUF models, please join our [Discord community](https://discord.gg/Dt7MxDyNNZ) for support, updates, and discussions. - -::: diff --git a/docs/docs/guides/troubleshooting.mdx b/docs/docs/guides/troubleshooting.mdx deleted file mode 100644 index fda83bb49..000000000 --- a/docs/docs/guides/troubleshooting.mdx +++ /dev/null @@ -1,458 +0,0 @@ ---- -title: Troubleshooting -slug: /troubleshooting -description: Jan Docs | Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -sidebar_position: 21 -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - troubleshooting, - error codes, - broken build, - something amiss, - unexpected token, - undefined issue, - permission denied, - ] ---- - -import Tabs from '@theme/Tabs'; -import TabItem from '@theme/TabItem'; - -## Broken Build - -To resolve the issue where your Jan is stuck in a broken build after installation. - - - - #### 1. Uninstall Jan - - Delete Jan from your `/Applications` folder. - - #### 2. Delete Application Data, Cache, and User Data - - ```zsh - # Step 1: Delete the application data - ## Newer versions - rm -rf ~/Library/Application\ Support/jan - ## Versions 0.2.0 and older - rm -rf ~/Library/Application\ Support/jan-electron - - # Step 2: Clear application cache - rm -rf ~/Library/Caches/jan* - - # Step 3: Remove all user data - rm -rf ~/jan - ``` - - #### 3. Additional Step for Versions Before 0.4.2 - - If you are using a version before `0.4.2`, you need to run the following commands: - - ```zsh - ps aux | grep nitro - # Looks for processes like `nitro` and `nitro_arm_64`, and kill them one by one by process ID - kill -9 - ``` - - #### 4. Download the Latest Version - - Download the latest version of Jan from our [homepage](https://jan.ai/). - - - - #### 1. Uninstall Jan - - To uninstall Jan on Windows, use the [Windows Control Panel](https://support.microsoft.com/en-us/windows/uninstall-or-remove-apps-and-programs-in-windows-4b55f974-2cc6-2d2b-d092-5905080eaf98). - - #### 2. Delete Application Data, Cache, and User Data - - ```sh - # You can delete the `/Jan` directory in Windows's AppData Directory by visiting the following path `%APPDATA%\Jan` - cd C:\Users\%USERNAME%\AppData\Roaming - rmdir /S jan - ``` - - #### 3. Additional Step for Versions Before 0.4.2 - - If you are using a version before `0.4.2`, you need to run the following commands: - - ```sh - # Find the process ID (PID) of the nitro process by filtering the list by process name - tasklist | findstr "nitro" - # Once you have the PID of the process you want to terminate, run the `taskkill` - taskkill /F /PID - ``` - - #### 4. Download the Latest Version - - Download the latest version of Jan from our [homepage](https://jan.ai/). - - - - - #### 1. Uninstall Jan - - - - - To uninstall Jan, you should use your package manager's uninstall or remove option. - - This will return your system to its state before the installation of Jan. - - This method can also reset all settings if you are experiencing any issues with Jan. - - - - - To uninstall Jan, run the following command.MDXContent - - ```sh - sudo apt-get remove jan - # where jan is the name of Jan package - ``` - - This will return your system to its state before the installation of Jan. - - This method can also be used to reset all settings if you are experiencing any issues with Jan. - - - - - To uninstall Jan, you can uninstall Jan by deleting the `.AppImage` file. - - If you wish to completely remove all user data associated with Jan after uninstallation, you can delete the user data at `~/jan`. - - This method can also reset all settings if you are experiencing any issues with Jan. - - - - - #### 2. Delete Application Data, Cache, and User Data - - ```sh - # You can delete the user data folders located at the following `~/jan` - rm -rf ~/jan - ``` - - #### 3. Additional Step for Versions Before 0.4.2 - - If you are using a version before `0.4.2`, you need to run the following commands: - - ```zsh - ps aux | grep nitro - # Looks for processes like `nitro` and `nitro_arm_64`, and kill them one by one by process ID - kill -9 - ``` - - #### 4. Download the Latest Version - - Download the latest version of Jan from our [homepage](https://jan.ai/). - - - - -By following these steps, you can cleanly uninstall and reinstall Jan, ensuring a smooth and error-free experience with the latest version. - -:::note - -Before reinstalling Jan, ensure it's completely removed from all shared spaces if it's installed on multiple user accounts on your device. - -::: - -## Troubleshooting NVIDIA GPU - -To resolve issues when the Jan app does not utilize the NVIDIA GPU on Windows and Linux systems. - -#### 1. Ensure GPU Mode Requirements - - - - - ##### NVIDIA Driver - - - Install an [NVIDIA Driver](https://www.nvidia.com/Download/index.aspx) supporting CUDA 11.7 or higher. - - Use the following command to verify the installation: - - ```sh - nvidia-smi - ``` - - ##### CUDA Toolkit - - - Install a [CUDA toolkit](https://developer.nvidia.com/cuda-downloads) compatible with your NVIDIA driver. - - Use the following command to verify the installation: - - ```sh - nvcc --version - ``` - - - - - ##### NVIDIA Driver - - - Install an [NVIDIA Driver](https://www.nvidia.com/Download/index.aspx) supporting CUDA 11.7 or higher. - - Use the following command to verify the installation: - - ```sh - nvidia-smi - ``` - - ##### CUDA Toolkit - - - Install a [CUDA toolkit](https://developer.nvidia.com/cuda-downloads) compatible with your NVIDIA driver. - - Use the following command to verify the installation: - - ```sh - nvcc --version - ``` - ##### Linux Specifics - - - Ensure that `gcc-11`, `g++-11`, `cpp-11`, or higher is installed. - - See [instructions](https://gcc.gnu.org/projects/cxx-status.html#cxx17) for Ubuntu installation. - - - **Post-Installation Actions**: Add CUDA libraries to `LD_LIBRARY_PATH`. - - Follow the [Post-installation Actions](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#post-installation-actions) instructions. - - - - -#### 2. Switch to GPU Mode - -Jan defaults to CPU mode but automatically switches to GPU mode if your system supports it, selecting the GPU with the highest VRAM. Check this setting in `Settings` > `Advanced Settings`. - -##### Troubleshooting Tips - -If GPU mode isn't enabled by default: - -1. Confirm that you have installed an NVIDIA driver supporting CUDA 11.7 or higher. Refer to [CUDA compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/index.html#binary-compatibility__table-toolkit-driver). -2. Ensure compatibility of the CUDA toolkit with your NVIDIA driver. Refer to [CUDA compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/index.html#binary-compatibility__table-toolkit-driver). -3. For Linux, add CUDA's `.so` libraries to the `LD_LIBRARY_PATH`. For Windows, ensure that CUDA's `.dll` libraries are in the PATH. Refer to [Windows setup](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html#environment-setup). - -#### 3. Check GPU Settings - -1. Navigate to `Settings` > `Advanced Settings` > `Jan Data Folder` to access GPU settings. -2. Open the `settings.json` file in the `settings` folder. Here's an example: - -```json title="~/jan/settings/settings.json" -{ - "notify": true, - "run_mode": "gpu", - "nvidia_driver": { - "exist": true, - "version": "531.18" - }, - "cuda": { - "exist": true, - "version": "12" - }, - "gpus": [ - { - "id": "0", - "vram": "12282" - }, - { - "id": "1", - "vram": "6144" - }, - { - "id": "2", - "vram": "6144" - } - ], - "gpu_highest_vram": "0" -} -``` - -#### 4. Restart Jan - -Restart Jan application to make sure it works. - -##### Troubleshooting Tips - -- Ensure `nvidia_driver` and `cuda` fields indicate installed software. -- If `gpus` field is empty or lacks your GPU, check NVIDIA driver and CUDA toolkit installations. -- For further assistance, share the `settings.json` file. - -#### Tested Configurations - -- **Windows 11 Pro 64-bit:** - - - GPU: NVIDIA GeForce RTX 4070ti - - CUDA: 12.2 - - NVIDIA driver: 531.18 (Bare metal) - -- **Ubuntu 22.04 LTS:** - - - GPU: NVIDIA GeForce RTX 4070ti - - CUDA: 12.2 - - NVIDIA driver: 545 (Bare metal) - -- **Ubuntu 20.04 LTS:** - - - GPU: NVIDIA GeForce GTX 1660ti - - CUDA: 12.1 - - NVIDIA driver: 535 (Proxmox VM passthrough GPU) - -- **Ubuntu 18.04 LTS:** - - GPU: NVIDIA GeForce GTX 1660ti - - CUDA: 12.1 - - NVIDIA driver: 535 (Proxmox VM passthrough GPU) - -#### Common Issues and Solutions - -1. If the issue persists, try installing the [Nightly version](/guides/quickstart/#nightly-releases). -2. Ensure your (V)RAM is accessible; some users with virtual RAM may require additional configuration. -3. Seek assistance in [Jan Discord](https://discord.gg/mY69SZaMaC). - -## How to Get Error Logs - -To get the error logs of your Jan application, follow the steps below: - -#### Jan Application - -1. Navigate to the main dashboard. -2. Click the **gear icon (⚙️)** on the bottom left of your screen. -3. Under the **Settings screen**, click the **Advanced Settings**. -4. On the **Jan Data Folder** click the **folder icon (📂)** to access the data. -5. Click the **logs** folder. - -#### Jan UI - -1. Open your Unix or Linux terminal. -2. Use the following commands to get the recent 50 lines of log files: - -```bash -tail -n 50 ~/jan/logs/app.log - -``` - -#### Jan API Server - -1. Open your Unix or Linux terminal. -2. Use the following commands to get the recent 50 lines of log files: - -```bash -tail -n 50 ~/jan/logs/server.log - -``` - -:::warning -Ensure to redact any private or sensitive information when sharing logs or error details. -::: - -:::note -If you have any questions or are looking for support, please don't hesitate to contact us via our [Discord community](https://discord.gg/Dt7MxDyNNZ) or create a new issue in our [GitHub repository](https://github.com/janhq/jan/issues/new/choose). -::: - -## Permission Denied - -When running Jan, you might encounter the following error message: - -``` -Uncaught (in promise) Error: Error invoking layout-480796bff433a3a3.js:538 remote method 'installExtension': -Error Package /Applications/Jan.app/Contents/Resources/app.asar.unpacked/pre-install/janhq-assistant-extension-1.0.0.tgz does not contain a valid manifest: -Error EACCES: permission denied, mkdtemp '/Users/username/.npm/_cacache/tmp/ueCMn4' -``` - -This error mainly caused by permission problem during installation. To resolve this issue, follow these steps: - -1. Open your terminal. - -2. Execute the following command to change ownership of the `~/.npm` directory to the current user: - -```sh -sudo chown -R $(whoami) ~/.npm -``` - -:::note - -- This command ensures that the necessary permissions are granted for Jan installation, resolving the encountered error. -- If you have any questions or are looking for support, please don't hesitate to contact us via our [Discord community](https://discord.gg/Dt7MxDyNNZ) or create a new issue in our [GitHub repository](https://github.com/janhq/jan/issues/new/choose). - ::: - -## Something's Amiss - -When you start a chat with a model and encounter with a Something's Amiss error, here's how to resolve it: - -1. Ensure your OS is up to date. -2. Choose a model smaller than 80% of your hardware's V/RAM. For example, on an 8GB machine, opt for models smaller than 6GB. -3. Install the latest [Nightly release](/guides/quickstart/#nightly-releases) or [clear the application cache](/troubleshooting/#broken-build) when reinstalling Jan. -4. Confirm your V/RAM accessibility, particularly if using virtual RAM. -5. Nvidia GPU users should download [CUDA](https://developer.nvidia.com/cuda-downloads). -6. Linux users, ensure your system meets the requirements of gcc 11, g++ 11, cpp 11, or higher. Refer to this [link](/troubleshooting/#troubleshooting-nvidia-gpu) for details. -7. You might use the wrong port when you [check the app logs](/troubleshooting/#how-to-get-error-logs) and encounter the Bind address failed at 127.0.0.1:3928 error. To check the port status, try use the `netstat` command, like the following: - - - - ```sh - netstat -an | grep 3928 - ``` - - - ```sh - netstat -ano | find "3928" - tasklist /fi "PID eq 3928" - ``` - - - ```sh - netstat -anpe | grep "3928" - ``` - - - -:::note - -`Netstat` displays the contents of various network-related data structures for active connections - -::: - -:::tip - -Jan uses the following ports: - -- Nitro: `3928` -- Jan API Server: `1337` -- Jan Documentation: `3001` - -::: - -:::note -If you have any questions or are looking for support, please don't hesitate to contact us via our [Discord community](https://discord.gg/Dt7MxDyNNZ) or create a new issue in our [GitHub repository](https://github.com/janhq/jan/issues/new/choose). -::: - -## Undefined Issue - -Encountering an `undefined issue` in Jan is caused by errors related to the Nitro tool or other internal processes. It can be resolved through the following steps: - -1. Clearing the Jan folder and then reopen the application to determine if the problem persists -2. Manually run the nitro tool located at `~/jan/extensions/@janhq/inference-nitro-extensions/dist/bin/(your-os)/nitro` to check for error messages. -3. Address any nitro error messages that are identified and reassess the persistence of the issue. -4. Reopen Jan to determine if the problem has been resolved after addressing any identified errors. -5. If the issue persists, please share the [app logs](/troubleshooting/#how-to-get-error-logs) via [Jan Discord](https://discord.gg/mY69SZaMaC) for further assistance and troubleshooting. - -:::note -If you have any questions or are looking for support, please don't hesitate to contact us via our [Discord community](https://discord.gg/Dt7MxDyNNZ) or create a new issue in our [GitHub repository](https://github.com/janhq/jan/issues/new/choose). -::: - -## Unexpected Token - -Encountering the `Unexpected token` error when initiating a chat with OpenAI models mainly caused by either your OpenAI key or where you access your OpenAI from. This issue can be solved through the following steps: - -1. Obtain an OpenAI API key from [OpenAI's developer platform](https://platform.openai.com/) and integrate it into your application. - -2. Trying a VPN could potentially solve the issue, especially if it's related to region locking for accessing OpenAI services. By connecting through a VPN, you may bypass such restrictions and successfully initiate chats with OpenAI models. - -:::note -If you have any questions or are looking for support, please don't hesitate to contact us via our [Discord community](https://discord.gg/Dt7MxDyNNZ) or create a new issue in our [GitHub repository](https://github.com/janhq/jan/issues/new/choose). -::: diff --git a/docs/docs/guides/user-guides/advanced-settings.mdx b/docs/docs/guides/user-guides/advanced-settings.mdx deleted file mode 100644 index 9a26e952f..000000000 --- a/docs/docs/guides/user-guides/advanced-settings.mdx +++ /dev/null @@ -1,271 +0,0 @@ ---- -title: Advanced Settings -slug: /guides/advanced -description: Jan Docs | Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -sidebar_position: 11 -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - Advanced Settings, - HTTPS Proxy, - SSL, - settings, - Jan settings, - ] ---- - -import Tabs from '@theme/Tabs'; -import TabItem from '@theme/TabItem'; - -This guide will show you how to use the advanced settings in Jan. - -## Access the Advanced Settings - -To access the Jan's advanced settings, follow the steps below: - -1. Navigate to the main dashboard. -2. Click the **gear icon (⚙️)** on the bottom left of your screen. -3. Under the **Settings screen**, click the **Advanced Settings**. -4. You can configure the following settings: - -| Feature | Description | -| ---------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -| **Keyboard Shortcuts** | Keyboard shortcuts speed up your workflow. For a quick overview of useful keyboard shortcuts, refer to the list [below](advanced-settings.mdx#keyboard-shortcuts). | -| **Experimental Mode** | Enables experimental features that may be unstable. | -| **GPU Acceleration** | Enables the boosting of your model performance by using your GPU devices for acceleration. | -| **Jan Data Folder** | Location for messages, model configurations, and user data. Changeable to a different location. | -| **HTTPS Proxy & Ignore SSL Certificate** | Use a proxy server for internet connections and ignore SSL certificates for self-signed certificates. Please check out the guide on how to set up your own HTTPS proxy server [here](advanced-settings.mdx#https-proxy). | -| **Clear Logs** | Removes all logs from the Jan application. | -| **Reset To Factory Default** | Resets the application to its original state, deleting all data including model customizations and conversation history. | - -## Keyboard Shortcuts - -Here are some of the keyboard shortcuts that you can use in Jan. - - - -| Combination | Description | -| --------------- | -------------------------------------------------- | -| `⌘ E` | Show list your models | -| `⌘ K` | Show list navigation pages | -| `⌘ B` | Toggle collapsible left panel | -| `⌘ ,` | Navigate to setting page | -| `Enter` | Send a message | -| `Shift + Enter` | Insert new line in input box | -| `Arrow Up` | Navigate to the previous option (within the search dialog) | -| `Arrow Down` | Navigate to the next option (within the search dialog) | - - - - -| Combination | Description | -| --------------- | ---------------------------------------------------------- | -| `Ctrl E` | Show list your models | -| `Ctrl K` | Show list navigation pages | -| `Ctrl B` | Toggle collapsible left panel | -| `Ctrl ,` | Navigate to setting page | -| `Enter` | Send a message | -| `Shift + Enter` | Insert new line in input box | -| `Arrow Up` | Navigate to the previous option (within the search dialog) | -| `Arrow Down` | Navigate to the next option (within the search dialog) | - - - - -| Combination | Description | -| --------------- | ---------------------------------------------------------- | -| `Ctrl E` | Show list your models | -| `Ctrl K` | Show list navigation pages | -| `Ctrl B` | Toggle collapsible left panel | -| `Ctrl ,` | Navigate to setting page | -| `Enter` | Send a message | -| `Shift + Enter` | Insert new line in input box | -| `Arrow Up` | Navigate to the previous option (within the search dialog) | -| `Arrow Down` | Navigate to the next option (within the search dialog) | - - - - -:::note -The keyboard shortcuts are customizable. -::: - -## Enable the Experimental Mode - -To try out new fetures that are still in testing phase, follow the steps below: - -1. Navigate to the main dashboard. -2. Click the **gear icon (⚙️)** on the bottom left of your screen. -3. Under the **Settings screen**, click the **Advanced Settings**. -4. On the **Experimental Mode** click the slider to enable. - -## Enable the GPU Acceleration - -To enhance your model performance, follow the steps below: - -:::warning -Ensure that you have read the [troubleshooting guide](/troubleshooting/#troubleshooting-nvidia-gpu) here for further assistance. -::: - -1. Navigate to the main dashboard. -2. Click the **gear icon (⚙️)** on the bottom left of your screen. -3. Under the **Settings screen**, click the **Advanced Settings**. -4. On the **GPU Acceleration** click the slider to enable. - -## Access the Jan Data Folder - -To access the folder where messages, model configurations and user data are stored, follow the steps below: - -1. Navigate to the main dashboard. -2. Click the **gear icon (⚙️)** on the bottom left of your screen. -3. Under the **Settings screen**, click the **Advanced Settings**. -4. On the **Jan Data Folder** click the **folder icon (📂)** to access the data or the **pencil icon (✏️)** to change the folder where you keep your data. - -## HTTPS Proxy - -HTTPS Proxy encrypts data between your browser and the internet, making it hard for outsiders to intercept or read. It also helps you to maintain your privacy and security while being able to bypass regional restrictions on internet. - -:::note - -- When configuring Jan using an HTTPS proxy, the speed of the downloading model may be affected due to the encryption and decryption process. It also depends on the networking of the cloud service provider. -- HTTPS Proxy does not affect the remote model usage. - -::: - -### Setting Up Your Own HTTPS Proxy Server - -This guide provides a simple overview of setting up an HTTPS proxy server using **Squid**, a widely used open-source proxy software. - -:::note -Other software options are also available depending on your requirements. -::: - -#### Step 1: Choosing a Server - -1. Firstly, you need to choose a server to host your proxy server. - :::note - We recommend using a well-known cloud provider service like: - -- Amazon AWS -- Google Cloud -- Microsoft Azure -- Digital Ocean - ::: - -2. Ensure that your server has a public IP address and is accessible from the internet. - -#### Step 2: Installing Squid - -Instal **Squid** using the following command: - -```bash -sudo apt-get update -sudo apt-get install squid -``` - -#### Step 3: Configure Squid for HTTPS - -To enable HTTPS, you will need to configure Squid with SSL support. - -1. Squid requires an SSL certificate to be able to handle HTTPS traffic. You can generate a self-signed certificate or obtain one from a Certificate Authority (CA). For a self-signed certificate, you can use OpenSSL: - -```bash -openssl req -new -newkey rsa:2048 -days 365 -nodes -x509 -keyout squid-proxy.pem -out squid-proxy.pem -``` - -2. Edit the Squid configuration file `/etc/squid/squid.conf` to include the path to your SSL certificate and enable the HTTPS port: - -```bash -http_port 3128 ssl-bump cert=/path/to/your/squid-proxy.pem -ssl_bump server-first all -ssl_bump bump all -``` - -3. To intercept HTTPS traffic, Squid uses a process called SSL Bumping. This process allows Squid to decrypt and re-encrypt HTTPS traffic. To enable SSL Bumping, ensure the `ssl_bump` directives are configured correctly in your `squid.conf` file. - -#### Step 4 (Optional): Configure ACLs and Authentication - -1. You can define rules to control who can access your proxy. This is done by editing the squid.conf file and defining ACLs: - -```bash -acl allowed_ips src "/etc/squid/allowed_ips.txt" -http_access allow allowed_ips -``` - -2. If you want to add an authentication layer, Squid supports several authentication schemes. Basic authentication setup might look like this: - -```bash -auth_param basic program /usr/lib/squid/basic_ncsa_auth /etc/squid/passwords -acl authenticated proxy_auth REQUIRED -http_access allow authenticated -``` - -#### Step 5: Restart and Test Your Proxy - -1. After configuring, restart Squid to apply the changes: - -```bash -sudo systemctl restart squid -``` - -2. To test, configure your browser or another client to use the proxy server with its IP address and port (default is 3128). -3. Check if you can access the internet through your proxy. - -:::tip - -Tips for Secure Your Proxy: - -- **Firewall rules**: Ensure that only intended users or IP addresses can connect to your proxy server. This can be achieved by setting up appropriate firewall rules. -- **Regular updates**: Keep your server and proxy software updated to ensure that you are protected against known vulnerabilities. -- **Monitoring and logging**: Monitor your proxy server for unusual activity and enable logging to keep track of the traffic passing through your proxy. - -::: - -### Setting Up Jan to Use Your HTTPS Proxy - -Once you have your HTTPS proxy server set up, you can configure Jan to use it. - -1. Navigate to **Settings** > **Advanced Settings**. -2. On the **HTTPS Proxy** click the slider to enable. -3. Input your domain in the blank field. - -## Ignore SSL Certificate - -To Allow self-signed or unverified certificates, follow the steps below: - -1. Navigate to the main dashboard. -2. Click the **gear icon (⚙️)** on the bottom left of your screen. -3. Under the **Settings screen**, click the **Advanced Settings**. -4. On the **Ignore SSL Certificates** click the slider to enable. - -## Clear Logs - -To clear all logs on your Jan app, follow the steps below: -:::warning -This feature clears all the data in your **Jan Data Folder**. -::: - -1. Navigate to the main dashboard. -2. Click the **gear icon (⚙️)** on the bottom left of your screen. -3. Under the **Settings screen**, click the **Advanced Settings**. -4. On the **Clear Logs** click the the **Clear** button. - -## Reset To Factory Default - -To reset the Jan app to its original state, follow the steps below: -:::danger[Remember!] -This irreversible action is only recommended if the application is corrupted. -::: - -1. Navigate to the main dashboard. -2. Click the **gear icon (⚙️)** on the bottom left of your screen. -3. Under the **Settings screen**, click the **Advanced Settings**. -4. On the **Reset To Factory Default** click the the **Reset** button. diff --git a/docs/docs/guides/user-guides/jan-data-folder.mdx b/docs/docs/guides/user-guides/jan-data-folder.mdx deleted file mode 100644 index b2bf14968..000000000 --- a/docs/docs/guides/user-guides/jan-data-folder.mdx +++ /dev/null @@ -1,23 +0,0 @@ ---- -title: Jan Data Folder -slug: /guides/data-folder -description: Jan Docs | Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -sidebar_position: 6 -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - data folder, - source folder, - Jan data, - ] ---- - -Coming Soon diff --git a/docs/docs/guides/user-guides/local-server.mdx b/docs/docs/guides/user-guides/local-server.mdx deleted file mode 100644 index 421981503..000000000 --- a/docs/docs/guides/user-guides/local-server.mdx +++ /dev/null @@ -1,109 +0,0 @@ ---- -title: Local Server or API Endpoint -slug: /guides/local-api -description: A step-by-step guide to start Jan Local Server. -sidebar_position: 10 -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - local server, - start server, - api endpoint, - ] ---- - -Jan provides a built-in API server that can be used as a drop-in for OpenAI's API local replacement. This guide will walk you through on how to start the local server and use it to make request to the local server. - -## Step 1: Set the Local Server - -To start the local server, follow the steps below: - -1. Navigate to the Jan main menu dashboard. -2. Click the corresponding icon on the bottom left side of your screen. -3. Select the model you want to use under the Model Settings screen to set the LLM for your local server. -4. Configure the server settings as follows: - -| Feature | Description | Default Setting | -| ------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------- | -| Local Server Address | By default, Jan is only accessible on the same computer it's running on, using the address 127.0.0.1. You can change this to 0.0.0.0 to let other devices on your local network access it. However, this is less secure than just allowing access from the same computer. | `localhost (127.0.0.1)` | -| Port | Jan runs on port 1337 by default. The port can be changed to any other port number as needed. | `1337` | -| Cross-Origin Resource Sharing (CORS) | Manages resource access from external domains. Enabled for security by default but can be disabled if needed. | Enabled | -| Verbose Server Logs | Provides extensive details about server activities as the local server runs, displayed at the center of the screen. | Not specified (implied enabled) | - -## Step 2: Start and Use the Built-in API Server - -Once you have set the server settings, you can start the server by following the steps below: - -1. Click the **Start Server** button on the top left of your screen. - -:::note - -When the server starts, you'll see a message like `Server listening at http://127.0.0.1:1337`, and the **Start Server** button will turn into a red **Stop Server** button. -::: - -2. You will be redirected to the API reference server in your browser. -3. Select the available endpoints and try them out by executing the example request. -4. In this example, we will show you how it works using the `Chat` endpoint. -5. Click the **Try it out** button. -6. The Chat endpoint has the following `cURL request example` when running using a `tinyllama-1.1b` model local server: - -```json -{ - "messages": [ - { - "content": "You are a helpful assistant.", - "role": "system" - }, - { - "content": "Hello!", - "role": "user" - } - ], - "model": "tinyllama-1.1b", - "stream": true, - "max_tokens": 2048, - "stop": [ - "hello" - ], - "frequency_penalty": 0, - "presence_penalty": 0, - "temperature": 0.7, - "top_p": 0.95 -} -' -``` - -7. The endpoint returns the following `JSON response body`: - -```json -{ - "choices": [ - { - "finish_reason": null, - "index": 0, - "message": { - "content": "Hello user. What can I help you with?", - "role": "assistant" - } - } - ], - "created": 1700193928, - "id": "ebwd2niJvJB1Q2Whyvkz", - "model": "_", - "object": "chat.completion", - "system_fingerprint": "_", - "usage": { - "completion_tokens": 500, - "prompt_tokens": 33, - "total_tokens": 533 - } -} -``` diff --git a/docs/docs/guides/user-guides/manage-assistants.mdx b/docs/docs/guides/user-guides/manage-assistants.mdx deleted file mode 100644 index 27330f187..000000000 --- a/docs/docs/guides/user-guides/manage-assistants.mdx +++ /dev/null @@ -1,22 +0,0 @@ ---- -title: Manage Assistants -slug: /guides/assistants -description: Jan Docs | Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -sidebar_position: 8 -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - manage assistants, - assistants, - ] ---- - -Coming Soon diff --git a/docs/docs/guides/user-guides/manage-models.mdx b/docs/docs/guides/user-guides/manage-models.mdx deleted file mode 100644 index 1fa2ed3f0..000000000 --- a/docs/docs/guides/user-guides/manage-models.mdx +++ /dev/null @@ -1,24 +0,0 @@ ---- -title: Manage Models -slug: /guides/models -description: Jan Docs | Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -sidebar_position: 7 -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - models, - remote models, - local models, - manage models, - ] ---- - -Coming Soon diff --git a/docs/docs/guides/user-guides/manage-threads.mdx b/docs/docs/guides/user-guides/manage-threads.mdx deleted file mode 100644 index 7344efb41..000000000 --- a/docs/docs/guides/user-guides/manage-threads.mdx +++ /dev/null @@ -1,60 +0,0 @@ ---- -title: Manage Threads -slug: /guides/threads -description: Manage your interaction with AI locally. -sidebar_position: 9 -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - threads, - chat history, - thread history, - ] ---- - -Jan provides a straightforward and private solution for managing your threads with AI on your own device. As you interact with AI using Jan, you'll accumulate a history of threads. -Jan offers easy tools to organize, delete, or review your past threads with AI. This guide will show you how to keep your threads private and well-organized. - - ### View Thread History - To view your thread history, follow the steps below: - 1. Navigate to the main dashboard. - 2. Locate the list of threads screen on the left side. - 3. To view a specific thread, simply choose the one you're interested in and then scroll up or down to explore the entire conversation. - - - ### Manage the Threads via Folder - To manage your thread history and configurations, follow the steps below: - 1. Navigate to the Thread that you want to manage via the list of threads on the left side of the dashboard. - 2. Click on the **three dots (⋮)** in the Thread section. - 3. There are two available options to select: - - **Reveal in Finder**: Opens the folder containing the thread history and configurations. - - **View as JSON**: Opens the thread.json file in your default browser. - - - ### Clean Threads History - To clean all the messages from a thread, follow the steps below: - 1. Navigate to the Thread that you want to clean. - 2. Click on the **three dots (⋮)** in the Thread section. - 3. Sleect the **Clean Thread** button. - -:::note -This will delete all messages in the thread while keeping the thread settings. -::: - - ### Delete Threads History - To delete a thread, follow the steps below: - 1. Navigate to the Thread that you want to delete. - 2. Click on the **three dots (⋮)** in the Thread section. - 3. Sleect the **Delete Thread** button. - -:::note -This will delete all messages and the thread settings. -::: diff --git a/docs/docs/guides/user-guides/overview-guides.mdx b/docs/docs/guides/user-guides/overview-guides.mdx deleted file mode 100644 index bb522ccf4..000000000 --- a/docs/docs/guides/user-guides/overview-guides.mdx +++ /dev/null @@ -1,20 +0,0 @@ ---- -title: Overview -slug: /guides/overview -description: Jan Docs | Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -sidebar_position: 5 -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -Coming Soon diff --git a/docs/docs/hardware/community.md b/docs/docs/hardware/community.md deleted file mode 100644 index da142b7c3..000000000 --- a/docs/docs/hardware/community.md +++ /dev/null @@ -1,67 +0,0 @@ ---- -title: Hardware Examples -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -## Add your own example - -Add your own examples to this page by creating a new file in the `docs/docs/hardware/examples` directory. - -```shell -docs -└── docs - └── hardware - └── examples - └── 3090x1-%40dan-jan.md - └── 3090x1-%40dan-jan.md - // highlight-next-line - └── .md -``` - -### File and Title Convention - -We use a specific naming convention for the file name. - -```shell -# Filename --.md -3090x1-@dan-jan.md # Example - -# Title ---- -title: <@github_username>: -title: @dan-jan: 3090 Desktop # Example ---- -``` - -### Content - -We highly recommend you include: - -- Photos of your build -- List of the components (e.g. [PCPartPicker](https://pcpartpicker.com)) -- Dimensions -- Power consumption -- Noise level -- Any stats on token generation speeds -- List of models you have run successfully on the build - -## Affiliate Links - -You are allowed to include affiliate links in your example. - -## Longer-Term - -We will likely build a simple web app to make it easier to add your own examples, sort and retrieve. diff --git a/docs/docs/hardware/concepts/chassis.md b/docs/docs/hardware/concepts/chassis.md deleted file mode 100644 index 1eae76dbb..000000000 --- a/docs/docs/hardware/concepts/chassis.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Chassis ---- \ No newline at end of file diff --git a/docs/docs/hardware/concepts/concepts-images/GPU.png b/docs/docs/hardware/concepts/concepts-images/GPU.png deleted file mode 100644 index 775a5ec67..000000000 Binary files a/docs/docs/hardware/concepts/concepts-images/GPU.png and /dev/null differ diff --git a/docs/docs/hardware/concepts/concepts-images/GPU_Image.png b/docs/docs/hardware/concepts/concepts-images/GPU_Image.png deleted file mode 100644 index 67df1278b..000000000 Binary files a/docs/docs/hardware/concepts/concepts-images/GPU_Image.png and /dev/null differ diff --git a/docs/docs/hardware/concepts/concepts-images/PCIex16.png b/docs/docs/hardware/concepts/concepts-images/PCIex16.png deleted file mode 100644 index 3be8ae7a4..000000000 Binary files a/docs/docs/hardware/concepts/concepts-images/PCIex16.png and /dev/null differ diff --git a/docs/docs/hardware/concepts/concepts-images/Power.png b/docs/docs/hardware/concepts/concepts-images/Power.png deleted file mode 100644 index c91cd6025..000000000 Binary files a/docs/docs/hardware/concepts/concepts-images/Power.png and /dev/null differ diff --git a/docs/docs/hardware/concepts/concepts-images/RAM-VRAM.png b/docs/docs/hardware/concepts/concepts-images/RAM-VRAM.png deleted file mode 100644 index 3b57e6b2b..000000000 Binary files a/docs/docs/hardware/concepts/concepts-images/RAM-VRAM.png and /dev/null differ diff --git a/docs/docs/hardware/concepts/concepts-images/VRAM-Image.png b/docs/docs/hardware/concepts/concepts-images/VRAM-Image.png deleted file mode 100644 index 22566026b..000000000 Binary files a/docs/docs/hardware/concepts/concepts-images/VRAM-Image.png and /dev/null differ diff --git a/docs/docs/hardware/concepts/concepts-images/slot.png b/docs/docs/hardware/concepts/concepts-images/slot.png deleted file mode 100644 index 3d6479f75..000000000 Binary files a/docs/docs/hardware/concepts/concepts-images/slot.png and /dev/null differ diff --git a/docs/docs/hardware/concepts/concepts.md b/docs/docs/hardware/concepts/concepts.md deleted file mode 100644 index 8c7444c09..000000000 --- a/docs/docs/hardware/concepts/concepts.md +++ /dev/null @@ -1,8 +0,0 @@ ---- -title: Anatomy of a Thinking Machine -slug: /hardware/concepts ---- - -- Cover the difference between CPU/RAM and GPU/VRAM -- AI can now run on CPU/RAM (llama.cpp) -- AI that runs on Apple Silicon \ No newline at end of file diff --git a/docs/docs/hardware/concepts/cpu-and-ram.md b/docs/docs/hardware/concepts/cpu-and-ram.md deleted file mode 100644 index 9ff6d3921..000000000 --- a/docs/docs/hardware/concepts/cpu-and-ram.md +++ /dev/null @@ -1,7 +0,0 @@ ---- -title: CPU ---- - -- CPU's role vs GPU -- Cooler + Thermal Paste -- RAM \ No newline at end of file diff --git a/docs/docs/hardware/concepts/gpu-and-vram.md b/docs/docs/hardware/concepts/gpu-and-vram.md deleted file mode 100644 index 57387e8d2..000000000 --- a/docs/docs/hardware/concepts/gpu-and-vram.md +++ /dev/null @@ -1,132 +0,0 @@ ---- -title: GPUs and VRAM ---- - -## What Is a GPU? - -A Graphics Card, or GPU (Graphics Processing Unit), is a fundamental component in modern computing. Think of it as the powerhouse behind rendering the stunning visuals you see on your screen. Similar to the motherboard in your computer, the graphics card is a printed circuit board. However, it's not just a passive piece of hardware; it's a sophisticated device equipped with essential components like fans, onboard RAM, a dedicated memory controller, BIOS, and various other features. If you want to learn more about GPUs then read here to [Understand the architecture of a GPU.](https://medium.com/codex/understanding-the-architecture-of-a-gpu-d5d2d2e8978b) - -![GPU Image](concepts-images/GPU_Image.png) - -## What Are GPUs Used For? - -Two decades ago, GPUs primarily enhanced real-time 3D graphics in gaming. But as the 21st century dawned, a revelation occurred among computer scientists. They recognized that GPUs held untapped potential to solve some of the world's most intricate computing tasks. -This revelation marked the dawn of the general-purpose GPU era. Today's GPUs have evolved into versatile tools, more adaptable than ever before. They now have the capability to accelerate a diverse range of applications that stretch well beyond their original graphics-focused purpose. - -### **Here are some example use cases:** - -1. **Gaming**: They make games look good and run smoothly. -2. **Content Creation**: Help with video editing, 3D design, and graphics work. -3. **AI and Machine Learning**: Used for training smart machines. -4. **Science**: Speed up scientific calculations and simulations. -5. **Cryptocurrency Mining**: Mine digital currencies like Bitcoin. -6. **Medical Imaging**: Aid in analyzing medical images. -7. **Self-Driving Cars**: Help cars navigate autonomously. -8. **Simulations**: Create realistic virtual experiences. -9. **Data Analysis**: Speed up data processing and visualization. -10. **Video Streaming**: Improve video quality and streaming efficiency. - -## What is VRAM In GPU? - -VRAM, or video random-access memory, is a type of high-speed memory that is specifically designed for use with graphics processing units (GPUs). VRAM is used to store the textures, images, and other data that the GPU needs to render graphics. Its allows the GPU to access the data it needs quickly and efficiently. This is essential for rendering complex graphics at high frame rates. - -VRAM is different from other types of memory, such as the system RAM that is used by the CPU. VRAM is optimized for high bandwidth and low latency, which means that it can read and write data very quickly. The amount of VRAM that a GPU has is one of the factors that determines its performance. More VRAM allows the GPU to store more data and render more complex graphics. However, VRAM is also one of the most expensive components of a GPU. So when choosing a graphics card, it is important to consider the amount of VRAM that it has. If you are planning on running demanding LLMs or video games, or 3D graphics software, you will need a graphics card with more VRAM. - -![VRAM](concepts-images/VRAM-Image.png) - -## What makes VRAM and RAM different from each other? - -RAM (Random Access Memory) and VRAM (Video Random Access Memory) are both types of memory used in computers, but they have different functions and characteristics. Here are the differences between RAM and VRAM. - -### RAM (Random Access Memory): - -- RAM is a general-purpose memory that stores data and instructions that the CPU needs to access quickly. -- RAM is used for short-term data storage and is volatile, meaning that it loses its contents when the computer is turned off. -- RAM is connected to the motherboard and is accessed by the CPU. -- RAM typically has a larger capacity compared to VRAM, which is designed to store smaller amounts of data with faster access times. -- RAM stores data related to the operating system and the various programs that are running, including code, program files, and user data. - -### VRAM (Video Random Access Memory): - -- VRAM is a type of RAM that is specifically used to store image data for a computer display. -- VRAM is a graphics card component that is connected to the GPU (Graphics Processing Unit). -- VRAM is used exclusively by the GPU and doesn’t need to store as much data as the CPU. -- VRAM is similar to RAM in that it is volatile and loses its contents when the computer is turned off. -- VRAM stores data related specifically to graphics, such as textures, frames, and other graphical data. -- VRAM is designed to store smaller amounts of data with faster access times than RAM. - -In summary, RAM is used for general-purpose memory, while VRAM is used for graphics-related tasks. RAM has a larger capacity and is accessed by the CPU, while VRAM has a smaller capacity and is accessed by the GPU. - -**Key differences between VRAM and RAM:** - -| Characteristic | VRAM | RAM | -| -------------- | --------------------- | --------------------- | -| Purpose | Graphics processing | General processing | -| Speed | Faster | Slower | -| Latency | Lower | Higher | -| Bandwidth | Higher | Lower | -| Cost | More expensive | Less expensive | -| Availability | Less widely available | More widely available | - -![RAM-VRAM](concepts-images/RAM-VRAM.png) - -## How to Connect GPU to the Motherboard via PCIe - -Connecting hardware components to a motherboard is often likened to assembling LEGO pieces. If the parts fit together seamlessly, you're on the right track. Experienced PC builders find this process straightforward. However, for first-time builders, identifying where each hardware component belongs on the motherboard can be a bit perplexing. - -**So follow the below 5 steps to Connect your GPU to the Motherboard:** - -1. First, make sure your computer is powered off and unplugged from the electrical outlet to ensure safety. -2. Open your computer case if necessary to access the motherboard. Locate the PCIe x16 on the motherboard where you'll install the GPU. These slots are typically longer than other expansion slots and are used for graphics cards. - Remove Slot Covers (if applicable): Some PCIe slots may have protective covers or brackets covering them. Remove these covers by unscrewing them from the case using a Phillips-head screwdriver. And PCIe x16 will have plastic lock on one side only. There may be more than one PCIe x16 slot depending on the motherboard. You can use any of the slots according to your choice. - -![PCIe x16](concepts-images/PCIex16.png) - -3. Now Insert the Graphics Card slowly: - -- Unlock the plastic lock on one side of the PCIe x16 slot by pulling it outwards. - -![slot](concepts-images/slot.png) - -- Align the PCIe slot with your graphics card, making sure that the HDMI port side of the GPU faces the rear side of the CPU case. -- Gently press on the card until you hear it securely snap in place. - -![GPU](concepts-images/GPU.png) - -4. Insert the Power Connector: If your GPU requires additional power (most modern GPUs do), connect the necessary power cables from your power supply to the GPU's power connectors. These connectors are usually located on the top or side of the GPU. - -![Power](concepts-images/Power.png) - -5. Power on the System: After turning on the PC see if the fans on your graphics card spin. If it does not spin, remove the power cable from the GPU, reconnect it, and power on the PC again. - -> :memo: Note: To better understand you can also watch YouTube tutorials on how to Connect the GPU to the Motherboard via PCIe - -## How to Choose a Graphics Card for your AI works - -Selecting the optimal GPU for running Large Language Models (LLMs) on your home PC is a decision influenced by your budget and the specific LLMs you intend to work with. Your choice should strike a balance between performance, efficiency, and cost-effectiveness. - -In general, the following GPU features are important for running LLMs: - -- **High VRAM:** LLMs are typically very large and complex models, so they require a GPU with a high amount of VRAM. This will allow the model to be loaded into memory and processed efficiently. -- **CUDA Compatibility:** When running LLMs on a GPU, CUDA compatibility is paramount. CUDA is NVIDIA's parallel computing platform, and it plays a vital role in accelerating deep learning tasks. LLMs, with their extensive matrix calculations, heavily rely on parallel processing. Ensuring your GPU supports CUDA is like having the right tool for the job. It allows the LLM to leverage the GPU's parallel processing capabilities, significantly speeding up model training and inference. -- **Number of CUDA, Tensor, and RT Cores:** High-performance NVIDIA GPUs have both CUDA and Tensor cores. These cores are responsible for executing the neural network computations that underpin LLMs' language understanding and generation. The more CUDA cores your GPU has, the better equipped it is to handle the massive computational load that LLMs impose. Tensor cores in your GPU, further enhance LLM performance by accelerating the critical matrix operations integral to language modeling tasks. -- **Generation (Series)**: When selecting a GPU for LLMs, consider its generation or series (e.g., RTX 30 series). Newer GPU generations often come with improved architectures and features. For LLM tasks, opting for the latest generation can mean better performance, energy efficiency, and support for emerging AI technologies. Avoid purchasing, RTX-2000 series GPUs which are much outdated nowadays. - -### Here are some of the best GPU options for this purpose: - -1. **NVIDIA RTX 3090**: The NVIDIA RTX 3090 is a high-end GPU with a substantial 24GB of VRAM. This copious VRAM capacity makes it exceptionally well-suited for handling large LLMs. Moreover, it's known for its relative efficiency, meaning it won't overheat or strain your home PC's cooling system excessively. The RTX 3090's robust capabilities are a boon for those who need to work with hefty language models. -2. **NVIDIA RTX 4090**: If you're looking for peak performance and can afford the investment, the NVIDIA RTX 4090 represents the pinnacle of GPU power. Boasting 24GB of VRAM and featuring a cutting-edge Tensor Core architecture tailored for AI workloads, it outshines the RTX 3090 in terms of sheer capability. However, it's important to note that the RTX 4090 is also pricier and more power-hungry than its predecessor, the RTX 3090. -3. **AMD Radeon RX 6900 XT**: On the AMD side, the Radeon RX 6900 XT stands out as a high-end GPU with 16GB of VRAM. While it may not quite match the raw power of the RTX 3090 or RTX 4090, it strikes a balance between performance and affordability. Additionally, it tends to be more power-efficient, which could translate to a more sustainable and quieter setup in your home PC. - -If budget constraints are a consideration, there are more cost-effective GPU options available: - -- **NVIDIA RTX 3070**: The RTX 3070 is a solid mid-range GPU that can handle LLMs effectively. While it may not excel with the most massive or complex language models, it's a reliable choice for users looking for a balance between price and performance. -- **AMD Radeon RX 6800 XT**: Similarly, the RX 6800 XT from AMD offers commendable performance without breaking the bank. It's well-suited for running mid-sized LLMs and provides a competitive option in terms of both power and cost. - -When selecting a GPU for LLMs, remember that it's not just about the GPU itself. Consider the synergy with other components in your PC: - -- **CPU**: To ensure efficient processing, pair your GPU with a powerful CPU. LLMs benefit from fast processors, so having a capable CPU is essential. -- **RAM**: Sufficient RAM is crucial for LLMs. They can be memory-intensive, and having enough RAM ensures smooth operation. -- **Cooling System**: LLMs can push your PC's hardware to the limit. A robust cooling system helps maintain optimal temperatures, preventing overheating and performance throttling. - -By taking all of these factors into account, you can build a home PC setup that's well-equipped to handle the demands of running LLMs effectively and efficiently. diff --git a/docs/docs/hardware/concepts/motherboard.md b/docs/docs/hardware/concepts/motherboard.md deleted file mode 100644 index 0a1e0948f..000000000 --- a/docs/docs/hardware/concepts/motherboard.md +++ /dev/null @@ -1,5 +0,0 @@ ---- -title: Motherboard ---- - -- PCIe lanes that go to the processor (not Chipset) \ No newline at end of file diff --git a/docs/docs/hardware/concepts/network.md b/docs/docs/hardware/concepts/network.md deleted file mode 100644 index d14982be4..000000000 --- a/docs/docs/hardware/concepts/network.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Network ---- \ No newline at end of file diff --git a/docs/docs/hardware/concepts/power.md b/docs/docs/hardware/concepts/power.md deleted file mode 100644 index 304d71baa..000000000 --- a/docs/docs/hardware/concepts/power.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Power Supply ---- \ No newline at end of file diff --git a/docs/docs/hardware/concepts/storage.md b/docs/docs/hardware/concepts/storage.md deleted file mode 100644 index 701f5d39a..000000000 --- a/docs/docs/hardware/concepts/storage.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Storage ---- \ No newline at end of file diff --git a/docs/docs/hardware/examples/4090x2-@dan-jan.md b/docs/docs/hardware/examples/4090x2-@dan-jan.md deleted file mode 100644 index 3fb3f08a3..000000000 --- a/docs/docs/hardware/examples/4090x2-@dan-jan.md +++ /dev/null @@ -1,24 +0,0 @@ ---- -title: "2 x 4090 Workstation" ---- - -![](/img/2x4090-workstation.png) - -Jan uses a 2 x 4090 Workstation to run Codellama for internal use.[^1] - -## Component List - -| Type | Item | Unit Price | Total Price | -| :------------------- | :------------------------------------------------------------- | :--------- | ----------- | -| **CPU** | [Ryzen Threadripper Pro 5965WX 280W SP3 WOF](AMAZON-LINK-HERE) | $2,229 | | -| **Motherboard** | [Asus Pro WS WRX80E Sage SE WiFi](AMAZON-LINK-HERE) | $933 | | -| **RAM** | 4 x [G.Skill Ripjaw S5 2x32 6000C32](AMAZON-LINK-HERE) | $92.99 | | -| **GPU** | 2 x [Asus Strix RTX 4090 24GB OC](AMAZON-LINK-HERE) | $4,345 | | -| **Storage PCIe-SSD** | [Samsung 990 Pro 2TB NVME 2.0](AMAZON-LINK-HERE) | $134.99 | | -| **Cooler** | [BeQuiet Dark Rock 4 Pro TR4](AMAZON-LINK-HERE) | $89.90 | | -| **Power Supply** | [FSP Cannon 2000W Pro 92+ Full Modular PSU](AMAZON-LINK-HERE) | $449.99 | | -| **Case** | [Veddha 6GPUs Frame Black](AMAZON-LINK-HERE) | $59.99 | | -| **Total cost** | | $8,334 | | - - -[^1]: https://www.reddit.com/r/LocalLLaMA/comments/16lxt6a/case_for_dual_4090s/. ideb \ No newline at end of file diff --git a/docs/docs/hardware/examples/_category_.json b/docs/docs/hardware/examples/_category_.json deleted file mode 100644 index 2a3d9c51f..000000000 --- a/docs/docs/hardware/examples/_category_.json +++ /dev/null @@ -1,6 +0,0 @@ -{ - "label": "Example Builds", - "link": { - "type": "generated-index" - } -} \ No newline at end of file diff --git a/docs/docs/hardware/hardware.md b/docs/docs/hardware/hardware.md deleted file mode 100644 index 8c5016552..000000000 --- a/docs/docs/hardware/hardware.md +++ /dev/null @@ -1,4 +0,0 @@ ---- -sidebar_position: 1 -title: Introduction ---- diff --git a/docs/docs/hardware/overview/cloud-vs-self-hosting.md b/docs/docs/hardware/overview/cloud-vs-self-hosting.md deleted file mode 100644 index 0d34bb1a9..000000000 --- a/docs/docs/hardware/overview/cloud-vs-self-hosting.md +++ /dev/null @@ -1,62 +0,0 @@ ---- -title: Cloud vs. Self-hosting Your AI ---- - -The choice of how to run your AI - on GPU cloud services, on-prem, or just using an API provider - involves various trade-offs. The following is a naive exploration of the pros and cons of renting vs self-hosting. - -## Cost Comparison - -The following estimations use these general assumptions: - -| | Self-Hosted | GPT 4.0 | GPU Rental | -| ---------- | ---------------------------------------- | -------------- | ------------------ | -| Unit Costs | $10k upfront for 2x4090s (5 year amort.) | $0.00012/token | $4.42 for 1xH100/h | - -- 800 average tokens (input & output) in a single request -- Inference speed is at 24 tokens per second - -### Low Usage - -When operating at low capacity: - -| | Self-Hosted | GPT 4.0 | GPU Rental | -| ---------------- | ----------- | ------- | ---------- | -| Cost per Request | $2.33 | $0.10 | $0.04 | - -### High Usage - -When operating at high capacity, i.e. 24 hours in a day, ~77.8k requests per month: - -| | Self-Hosted | GPT 4.0 | GPU Rental | -| -------------- | ------------ | ------- | ---------- | -| Cost per Month | $166 (fixed) | $7465 | $3182 | - -### Incremental Costs - -Large context use cases are also interesting to evaluate. For example, if you had to write a 500 word essay summarizing Tolstoy's "War and Peace": - -| | Self-Hosted | GPT 4.0 | GPU Rental | -| ----------------------- | -------------------- | ------- | ---------- | -| Cost of "War and Peace" | (upfront fixed cost) | $94 | $40 | - -> **Takeaway**: Renting on cloud or using an API is great for initially scaling. However, it can quickly become expensive when dealing with large datasets and context windows. For predictable costs, self-hosting is an attractive option. - -## Business Considerations - -Other business level considerations may include: - -| | Self-Hosted | GPT 4.0 | GPU Rental | -| ----------------------- | ----------- | ------- | ---------- | -| Data Privacy | ✅ | ❌ | ❌ | -| Offline Mode | ✅ | ❌ | ❌ | -| Customization & Control | ✅ | ❌ | ✅ | -| Auditing | ✅ | ❌ | ✅ | -| Setup Complexity | ❌ | ✅ | ✅ | -| Setup Cost | ❌ | ✅ | ✅ | -| Maintenance | ❌ | ✅ | ❌ | - -## Conclusion - -The decision to run LLMs in the cloud or on in-house servers is not one-size-fits-all. It depends on your business's specific needs, budget, and security considerations. Cloud-based LLMs offer scalability and cost-efficiency but come with potential security concerns, while in-house servers provide greater control, customization, and cost predictability. - -In some situations, using a mix of cloud and in-house resources can be the best way to go. Businesses need to assess their needs and assets carefully to pick the right method for using LLMs in the ever-changing world of AI technology. diff --git a/docs/docs/hardware/overview/cpu-vs-gpu.md b/docs/docs/hardware/overview/cpu-vs-gpu.md deleted file mode 100644 index f0f20d8d6..000000000 --- a/docs/docs/hardware/overview/cpu-vs-gpu.md +++ /dev/null @@ -1,14 +0,0 @@ ---- -title: GPU vs CPU What's the Difference? ---- - -## CPU vs. GPU - -| | CPU | GPU | -| ------------------- | ------------------------------------------------------------------------ | ------------------------------------------------------- | -| **Function** | Generalized component that handles main processing functions of a server | Specialized component that excels at parallel computing | -| **Processing** | Designed for serial instruction processing | Designed for parallel instruction processing | -| **Design** | Fewer, more powerful cores | More cores than CPUs, but less powerful than CPU cores | -| **Best suited for** | General-purpose computing applications | High-performance computing applications | - -![CPU VS GPU](https://media.discordapp.net/attachments/964896173401976932/1157998193741660222/CPU-vs-GPU-rendering.png?ex=651aa55b&is=651953db&hm=a22c80ed108a0d25106a20aa25236f7d0fa74167a50788194470f57ce7f4a6ca&=&width=807&height=426) diff --git a/docs/docs/hardware/recommendations/by-budget.md b/docs/docs/hardware/recommendations/by-budget.md deleted file mode 100644 index 9e640fbc9..000000000 --- a/docs/docs/hardware/recommendations/by-budget.md +++ /dev/null @@ -1,62 +0,0 @@ ---- -title: Recommended AI Hardware by Budget ---- - -> :warning: **Warning:** Do your own research before any purchase. Jan is not liable for compatibility, performance or other issues. Products can become outdated quickly. - -## Entry-level PC Build at $1000 - -| Type | Item | Price | -| :------------------- | :--------------------------------------------------------- | :------- | -| **CPU** | [Intel Core i5 12400 2.5GHz 6-Core Processor](#) | $170.99 | -| **CPU Cooler** | [Intel Boxed Cooler (Included with CPU)](#) | Included | -| **Motherboard** | [ASUS Prime B660-PLUS DDR4 ATX LGA1700](#) | $169.95 | -| **GPU** | [Nvidia RTX 3050 8GB - ZOTAC Gaming Twin Edge](#) | $250 | -| **Memory** | [16GB (2 x 8GB) G.Skill Ripjaws V DDR4-3200 C16](#) | $49.99 | -| **Storage PCIe-SSD** | [ADATA XPG SX8200 Pro 512GB NVMe M.2 Solid State Drive](#) | $46.50 | -| **Power Supply** | [Corsair CX-M Series CX450M 450W ATX 2.4 Power Supply](#) | $89.99 | -| **Case** | [be quiet! Pure Base 600 Black ATX Mid Tower Case](#) | $97.00 | -| **Total cost** | | $870 | - -## Entry-level PC Build at $1,500 - -| Type | Item | Price | -| :------------------- | :------------------------------------------------------- | :------ | -| **CPU** | [Intel Core i5 12600K 3.7GHz 6-Core Processor](#) | $269.99 | -| **CPU Cooler** | [be quiet! Dark Rock Pro 4](#) | $99.99 | -| **Motherboard** | [ASUS ProArt B660-Creator DDR4 ATX LGA1700](#) | $229.99 | -| **GPU** | [Nvidia RTX 3050 8GB - ZOTAC Gaming Twin Edge](#) | $349.99 | -| **Memory** | [32GB (2 x 16GB) G.Skill Ripjaws V DDR4-3200 C16](#) | $129.99 | -| **Storage PCIe-SSD** | [ADATA XPG SX8200 Pro 1TB NVMe M.2 Solid State Drive](#) | $109.99 | -| **Power Supply** | [Corsair RMx Series RM650x 650W ATX 2.4 Power Supply](#) | $119.99 | -| **Case** | [Corsair Carbide Series 200R ATX Mid Tower Case](#) | $59.99 | -| **Total cost** | | $1371 | - -## Mid-range PC Build at $3000 - -| Type | Item | Price | -| :--------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :-------- | -| **CPU** | [AMD Ryzen 9 7950X 4.5 GHz 16-Core Processor](https://de.pcpartpicker.com/product/22XJ7P/amd-ryzen-9-7950x-45-ghz-16-core-processor-100-100000514wof) | $556 | -| **CPU Cooler** | [Thermalright Peerless Assassin 120 White 66.17 CFM CPU Cooler](https://de.pcpartpicker.com/product/476p99/thermalright-peerless-assassin-120-white-6617-cfm-cpu-cooler-pa120-white) | $59.99 | -| **Motherboard** | [Gigabyte B650 GAMING X AX ATX AM5 Motherboard](https://de.pcpartpicker.com/product/YZgFf7/gigabyte-b650-gaming-x-ax-atx-am5-motherboard-b650-gaming-x-ax) | $199.99 | -| **Memory** | [G.Skill Ripjaws S5 64 GB (2 x 32 GB) DDR5-6000 CL32 Memory](https://de.pcpartpicker.com/product/BJcG3C/gskill-ripjaws-s5-64-gb-2-x-32-gb-ddr5-6000-cl32-memory-f5-6000j3238g32gx2-rs5k) | $194 | -| **Storage** | [Crucial P5 Plus 2 TB M.2-2280 PCIe 4.0 X4 NVME Solid ](https://de.pcpartpicker.com/product/VZWzK8/crucial-p5-plus-2-tb-m2-2280-pcie-40-x4-nvme-solid-state-drive-ct2000p5pssd8) | $165.99 | -| **GPU** | [PNY XLR8 Gaming VERTO EPIC-X RGB OC GeForce RTX 4090 24 GB](https://de.pcpartpicker.com/product/TvpzK8/pny-xlr8-gaming-verto-epic-x-rgb-oc-geforce-rtx-4090-24-gb-video-card-vcg409024tfxxpb1-o) | $1,599.99 | -| **Case** | [Fractal Design Pop Air ATX Mid Tower Case](https://de.pcpartpicker.com/product/QnD7YJ/fractal-design-pop-air-atx-mid-tower-case-fd-c-poa1a-02) | $89.99 | -| **Power Supply** | [Thermaltake Toughpower GF A3 - TT Premium Edition 1050 W 80+ Gold](https://de.pcpartpicker.com/product/4v3NnQ/thermaltake-toughpower-gf-a3-1050-w-80-gold-certified-fully-modular-atx-power-supply-ps-tpd-1050fnfagu-l) | $139.99 | -| | -| **Total cost** | **$3000** | - -## High-End PC Build at $6,000 - -| Type | Item | Price | -| :--------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :------- | -| **CPU** | [AMD Ryzen 9 3900X 3.8 GHz 12-Core Processor](https://pcpartpicker.com/product/tLCD4D/amd-ryzen-9-3900x-36-ghz-12-core-processor-100-100000023box) | $365.00 | -| **CPU Cooler** | [Noctua NH-U12S chromax.black 55 CFM CPU Cooler](https://pcpartpicker.com/product/dMVG3C/noctua-nh-u12s-chromaxblack-55-cfm-cpu-cooler-nh-u12s-chromaxblack) | $89.95 | -| **Motherboard** | [Asus ProArt X570-CREATOR WIFI ATX AM4 Motherboard](https://pcpartpicker.com/product/8y8bt6/asus-proart-x570-creator-wifi-atx-am4-motherboard-proart-x570-creator-wifi) | $599.99 | -| **Memory** | [Corsair Vengeance LPX 128 GB (4 x 32 GB) DDR4-3200 CL16 Memory](https://pcpartpicker.com/product/tRH8TW/corsair-vengeance-lpx-128-gb-4-x-32-gb-ddr4-3200-memory-cmk128gx4m4e3200c16) | $249.99 | -| **Storage** | [Sabrent Rocket 4 Plus 2 TB M.2-2280 PCIe 4.0 X4 NVME Solid State Drive](https://pcpartpicker.com/product/PMBhP6/sabrent-rocket-4-plus-2-tb-m2-2280-nvme-solid-state-drive-sb-rkt4p-2tb) | $129.99 | -| **GPU** | [PNY RTX A-Series RTX A6000 48 GB Video Card](https://pcpartpicker.com/product/HWt9TW/pny-rtx-a-series-rtx-a6000-48-gb-video-card-vcnrtxa6000-pb) | $4269.00 | -| **Power Supply** | [EVGA SuperNOVA 850 G2 850 W 80+ Gold ](https://pcpartpicker.com/product/LCfp99/evga-supernova-850-g2-850-w-80-gold-certified-fully-modular-atx-power-supply-220-g2-0850-xr) | $322.42 | -| | -| **Total cost** | **$6026.34** | diff --git a/docs/docs/hardware/recommendations/by-hardware.md b/docs/docs/hardware/recommendations/by-hardware.md deleted file mode 100644 index ee80a290c..000000000 --- a/docs/docs/hardware/recommendations/by-hardware.md +++ /dev/null @@ -1,182 +0,0 @@ ---- -title: Selecting AI Hardware ---- - -When selecting a GPU for LLMs, remember that it's not just about the GPU itself. Consider the synergy with other components in your PC: - -- **CPU**: To ensure efficient processing, pair your GPU with a powerful CPU. LLMs benefit from fast processors, so having a capable CPU is essential. -- **RAM**: Sufficient RAM is crucial for LLMs. They can be memory-intensive, and having enough RAM ensures smooth operation. -- **Cooling System**: LLMs can push your PC's hardware to the limit. A robust cooling system helps maintain optimal temperatures, preventing overheating and performance throttling. - -By taking all of these factors into account, you can build a home PC setup that's well-equipped to handle the demands of running LLMs effectively and efficiently. - -## GPU Selection - -Selecting the optimal GPU for running Large Language Models (LLMs) on your home PC is a decision influenced by your budget and the specific LLMs you intend to work with. Your choice should strike a balance between performance, efficiency, and cost-effectiveness. - -### GPU Comparison - -| GPU | Price | Cores | VRAM (GB) | Bandwth (T/s) | Power | -| --------------------- | ----- | ----- | --------- | ------------- | ----- | -| Nvidia H100 | 40000 | 18432 | 80 | 2 | | -| Nvidia A100 | 15000 | 6912 | 80 | | | -| Nvidia A100 | 7015 | 6912 | 40 | | | -| Nvidia A10 | 2799 | 9216 | 24 | | | -| Nvidia RTX A6000 | 4100 | 10752 | 48 | 0.768 | | -| Nvidia RTX 6000 | 6800 | 4608 | 46 | | | -| Nvidia RTX 4090 Ti | 2000 | 18176 | 24 | | | -| Nvidia RTX 4090 | 1800 | 16384 | 24 | 1.008 | | -| Nvidia RTX 3090 | 1450 | 10496 | 24 | | | -| Nvidia RTX 3080 | 700 | 8704 | 12 | | | -| Nvidia RTX 3070 | 900 | 6144 | 8 | | | -| Nvidia L4 | 2711 | 7424 | 24 | | | -| Nvidia T4 | 2299 | 2560 | 16 | | | -| AMD Radeon RX 6900 XT | 1000 | 5120 | 16 | | | -| AMD Radeon RX 6800 XT | 420 | 4608 | 16 | | | - -\*Market prices as of Oct 2023 via Amazon/PCMag - -### Other Considerations - -In general, the following GPU features are important for running LLMs: - -- **High VRAM:** LLMs are typically very large and complex models, so they require a GPU with a high amount of VRAM. This will allow the model to be loaded into memory and processed efficiently. -- **CUDA Compatibility:** When running LLMs on a GPU, CUDA compatibility is paramount. CUDA is NVIDIA's parallel computing platform, and it plays a vital role in accelerating deep learning tasks. LLMs, with their extensive matrix calculations, heavily rely on parallel processing. Ensuring your GPU supports CUDA is like having the right tool for the job. It allows the LLM to leverage the GPU's parallel processing capabilities, significantly speeding up model training and inference. -- **Number of CUDA, Tensor, and RT Cores:** High-performance NVIDIA GPUs have both CUDA and Tensor cores. These cores are responsible for executing the neural network computations that underpin LLMs' language understanding and generation. The more CUDA cores your GPU has, the better equipped it is to handle the massive computational load that LLMs impose. Tensor cores in your GPU, further enhance LLM performance by accelerating the critical matrix operations integral to language modeling tasks. -- **Generation (Series)**: When selecting a GPU for LLMs, consider its generation or series (e.g., RTX 30 series). Newer GPU generations often come with improved architectures and features. For LLM tasks, opting for the latest generation can mean better performance, energy efficiency, and support for emerging AI technologies. Avoid purchasing, RTX-2000 series GPUs which are much outdated nowadays. - -## CPU Selection - -Selecting the right CPU for running Large Language Models (LLMs) on your home PC is contingent on your budget and the specific LLMs you intend to work with. It's a decision that warrants careful consideration, as the CPU plays a pivotal role in determining the overall performance of your system. - -In general, the following CPU features are important for running LLMs: - -- **Number of Cores and Threads:** the number of CPU cores and threads influences parallel processing. More cores and threads help handle the complex computations involved in language models. For tasks like training and inference, a higher core/thread count can significantly improve processing speed and efficiency, enabling quicker results. -- **High clock speed:** The base clock speed, or base frequency, represents the CPU's default operating speed. So having a CPU with a high clock speed. This will allow the model to process instructions more quickly, which can further improve performance. -- **Base Power (TDP):** LLMs often involve long training sessions and demanding computations. Therefore, a lower Thermal Design Power (TDP) is desirable. A CPU with a lower TDP consumes less power and generates less heat during prolonged LLM operations. This not only contributes to energy efficiency but also helps maintain stable temperatures in your system, preventing overheating and potential performance throttling. -- **Generation (Series):** Consider its generation or series (e.g., 9th Gen, 11th Gen Intel Core). Newer CPU generations often come with architectural improvements that enhance performance and efficiency. For LLM tasks, opting for a more recent generation can lead to faster and more efficient language model training and inference. -- **Support for AVX512:** AVX512 is a set of vector instruction extensions that can be used to accelerate machine learning workloads. Many LLMs are optimized to take advantage of AVX512, so it is important to make sure that your CPU supports this instruction set. - -### Here are some CPU options for running LLMs: - -1. **Intel Core i7-12700K**: Slightly less potent than the Core i9-12900K, the Intel Core i7-12700K is still a powerful CPU. With 12 cores and 20 threads, it strikes a balance between performance and cost-effectiveness. This CPU is well-suited for running mid-sized and large LLMs, making it a compelling option. -2. **Intel Core i9-12900K**: Positioned as a high-end CPU, the Intel Core i9-12900K packs a formidable punch with its 16 cores and 24 threads. It's one of the fastest CPUs available, making it an excellent choice for handling large and intricate LLMs. The abundance of cores and threads translates to exceptional parallel processing capabilities, which is crucial for tasks involving massive language models. -3. **AMD Ryzen 9 5950X**: Representing AMD's high-end CPU offering, the Ryzen 9 5950X boasts 16 cores and 32 threads. While it may not quite match the speed of the Core i9-12900K, it remains a robust and cost-effective choice. Its multicore prowess enables smooth handling of LLM workloads, and its affordability makes it an attractive alternative. -4. **AMD Ryzen 7 5800X**: Slightly less potent than the Ryzen 9 5950X, the Ryzen 7 5800X is still a formidable CPU with 8 cores and 16 threads. It's well-suited for running mid-sized and smaller LLMs, providing a compelling blend of performance and value. - -For those operating within budget constraints, there are more budget-friendly CPU options: - -- **Intel Core i5-12600K**: The Core i5-12600K is a capable mid-range CPU that can still handle LLMs effectively, though it may not be optimized for the largest or most complex models. -- **AMD Ryzen 5 5600X**: The Ryzen 5 5600X offers a balance of performance and affordability. It's suitable for running smaller to mid-sized LLMs without breaking the bank. - -**When selecting a CPU for LLMs, consider the synergy with other components in your PC:** - -- **GPU**: Pair your CPU with a powerful GPU to ensure smooth processing of LLMs. Some language models, particularly those used for AI, rely on GPU acceleration for optimal performance. -- **RAM**: Adequate RAM is essential for LLMs, as these models can be memory-intensive. Having enough RAM ensures that your CPU can operate efficiently without bottlenecks. -- **Cooling System**: Given the resource-intensive nature of LLMs, a robust cooling system is crucial to maintain optimal temperatures and prevent performance throttling. - -By carefully weighing your budget and performance requirements and considering the interplay of components in your PC, you can assemble a well-rounded system that's up to the task of running LLMs efficiently. - -> :memo: **Note:** It is important to note that these are just general recommendations. The specific CPU requirements for your LLM will vary depending on the specific model you are using and the tasks that you want to perform with it. If you are unsure what CPU to get, it is best to consult with an expert. - -## RAM Selection - -The amount of RAM you need to run an LLM depends on the size and complexity of the model, as well as the tasks you want to perform with it. For example, if you are simply running inference on a pre-trained LLM, you may be able to get away with using a relatively modest amount of RAM. However, if you are training a new LLM from scratch, or if you are running complex tasks like fine-tuning or code generation, you will need more RAM. - -### Here is a general guide to RAM selection for running LLMs: - -- **Capacity:** The amount of RAM you need will depend on the size and complexity of the LLM model you want to run. For inference, you will need at least 16GB of RAM, but 32GB or more is ideal for larger models and more complex tasks. For training, you will need at least 64GB of RAM, but 128GB or more is ideal for larger models and more complex tasks. -- **Speed:** LLMs can benefit from having fast RAM, so it is recommended to use DDR4 or DDR5 RAM with a speed of at least 3200MHz. -- **Latency:** RAM latency is the amount of time it takes for the CPU to access data in memory. Lower latency is better for performance, so it is recommended to look for RAM with a low latency rating. -- **Timing:** RAM timing is a set of parameters that control how the RAM operates. It is important to make sure that the RAM timing is compatible with your motherboard and CPU. - -R**ecommended RAM** **options for running LLMs:** - -- **Inference:** For inference on pre-trained LLMs, you will need at least 16GB of RAM. However, 32GB or more is ideal for larger models and more complex tasks. -- **Training:** For training LLMs from scratch, you will need at least 64GB of RAM. However, 128GB or more is ideal for larger models and more complex tasks. - -In addition to the amount of RAM, it is also important to consider the speed of the RAM. LLMs can benefit from having fast RAM, so it is recommended to use DDR4 or DDR5 RAM with a speed of at least 3200MHz. - -## Motherboard Selection - -When picking a motherboard to run advanced language models, you need to think about a few things. First, consider the specific language model you want to use, the type of CPU and GPU in your computer, and your budget. Here are some suggestions: - -1. **ASUS ROG Maximus Z790 Hero:** This is a top-notch motherboard with lots of great features. It works well with Intel's latest CPUs, fast DDR5 memory, and PCIe 5.0 devices. It's also good at keeping things cool, which is important for running demanding language models. -2. **MSI MEG Z790 Ace:** Similar to the ASUS ROG Maximus, this motherboard is high-end and has similar features. It's good for running language models too. -3. **Gigabyte Z790 Aorus Master:** This one is more budget-friendly but still works great with Intel's latest CPUs, DDR5 memory, and fast PCIe 5.0 devices. It's got a strong power system, which helps with running language models. - -If you're on a tighter budget, you might want to check out mid-range options like the **ASUS TUF Gaming Z790-Plus WiFi** or the **MSI MPG Z790 Edge WiFi DDR5**. They offer good performance without breaking the bank. - -No matter which motherboard you pick, make sure it works with your CPU and GPU. Also, check that it has the features you need, like enough slots for your GPU and storage drives. - -Other things to think about when choosing a motherboard for language models: - -- **Cooling:** Language models can make your CPU work hard, so a motherboard with good cooling is a must. This keeps your CPU from getting too hot. -- **Memory:** Language models need lots of memory, so make sure your motherboard supports a good amount of it. Check if it works with the type of memory you want to use, like DDR5 or DDR4. -- **Storage:** Language models can create and store a ton of data. So, look for a motherboard with enough slots for your storage drives. -- **BIOS:** The BIOS controls your motherboard. Make sure it's up-to-date and has the latest features, especially if you plan to overclock or undervolt your system. - -## Cooling System Selection - -Modern computers have two critical components, the CPU and GPU, which can heat up during high-performance tasks. To prevent overheating, they come with built-in temperature controls that automatically reduce performance when temperatures rise. To keep them cool and maintain optimal performance, you need a reliable cooling system. - -For laptops, the only choice is a fan-based cooling system. Laptops have built-in fans and copper pipes to dissipate heat. Many gaming laptops even have two separate fans: one for the CPU and another for the GPU. - -For desktop computers, you have the option to install more efficient water cooling systems. These are highly effective but can be expensive. Or you can install more cooling fans to keep you components cool. - -Keep in mind that dust can accumulate in fan-based cooling systems, leading to malfunctions. So periodically clean the dust to keep your cooling system running smoothly. - -## Use MacBook to run LLMs - -An Apple MacBook equipped with either the M1 or the newer M2 Pro/Max processor. These cutting-edge chips leverage Apple's innovative Unified Memory Architecture (UMA), which revolutionizes the way the CPU and GPU interact with memory resources. This advancement plays a pivotal role in enhancing the performance and capabilities of LLMs. - -Unified Memory Architecture, as implemented in Apple's M1 and M2 series processors, facilitates seamless and efficient data access for both the CPU and GPU. Unlike traditional systems where data needs to be shuttled between various memory pools, UMA offers a unified and expansive memory pool that can be accessed by both processing units without unnecessary data transfers. This transformative approach significantly minimizes latency while concurrently boosting data access bandwidth, resulting in substantial improvements in both the speed and quality of outputs. -![UMA](https://media.discordapp.net/attachments/1148534242104574012/1156600109967089714/IMG_3722.webp?ex=6516380a&is=6514e68a&hm=ebe3b6ecb1edb44cde58bd8d3fdd46cef66b60aa41ea6c03b51325fa65f8517e&=&width=807&height=426) - -The M1 and M2 Pro/Max chips offer varying levels of unified memory bandwidth, further underscoring their prowess in handling data-intensive tasks like AI processing. The M1/M2 Pro chip boasts an impressive capacity of up to 200 GB/s of unified memory bandwidth, while the M1/M2 Max takes it a step further, supporting up to a staggering 400 GB/s of unified memory bandwidth. This means that regardless of the complexity and demands of the AI tasks at hand, these Apple laptops armed with M1 or M2 processors are well-equipped to handle them with unparalleled efficiency and speed. - -## Calculating vRAM Requirements for an LLM - -**For example:** Calculating the VRAM required to run a 13-billion-parameter Large Language Model (LLM) involves considering the model size, batch size, sequence length, token size, and any additional overhead. Here's how you can estimate the VRAM required for a 13B LLM: - -1. **Model Size**: Find out the size of the 13B LLM in terms of the number of parameters. This information is typically provided in the model's documentation. A 13-billion-parameter model has 13,000,000,000 parameters. -2. **Batch Size**: Decide on the batch size you want to use during inference. The batch size represents how many input samples you process simultaneously. Smaller batch sizes require less VRAM. -3. **Sequence Length**: Determine the average length of the input text sequences you'll be working with. Sequence length can impact VRAM requirements; longer sequences need more memory. -4. **Token Size**: Understand the memory required to store one token in bytes. Most LLMs use 4 bytes per token. -5. **Overhead**: Consider any additional memory overhead for intermediate computations and framework requirements. Overhead can vary but should be estimated based on your specific setup. - -Use the following formula to estimate the VRAM required: - -**VRAM Required (in gigabytes)** = `Model Parameters x Token Size x Batch Size x Sequence Length + Overhead` - -- **Model Parameters**: 13,000,000,000 parameters for a 13B LLM. -- **Token Size**: Usually 4 bytes per token. -- **Batch Size**: Choose your batch size. -- **Sequence Length**: The average length of input sequences. -- **Overhead**: Any additional VRAM required based on your setup. - -Here's an example: - -Suppose you want to run a 13B LLM with the following parameters: - -- **Batch Size**: 4 -- **Sequence Length**: 512 tokens -- **Token Size**: 4 bytes -- **Estimated Overhead**: 2 GB - -VRAM Required (in gigabytes) = `(13,000,000,000 x 4 x 4 x 512) + 2` - -VRAM Required (in gigabytes) = `(8,388,608,000) + 2,000` - -VRAM Required (in gigabytes) ≈ `8,390,608,000 bytes` - -To convert this to gigabytes, divide by `1,073,741,824 (1 GB)` - -VRAM Required (in gigabytes) ≈ `8,390,608,000 / 1,073,741,824 ≈ 7.8 GB` - -So, to run a 13-billion-parameter LLM with the specified parameters and overhead, you would need approximately 7.8 gigabytes of VRAM on your GPU. Make sure to have some additional VRAM for stable operation and consider testing the setup in practice to monitor VRAM usage accurately. - - diff --git a/docs/docs/hardware/recommendations/by-model.md b/docs/docs/hardware/recommendations/by-model.md deleted file mode 100644 index 99d1ca8a2..000000000 --- a/docs/docs/hardware/recommendations/by-model.md +++ /dev/null @@ -1,68 +0,0 @@ ---- -title: Recommended AI Hardware by Model ---- - -## Codellama 34b - -### System Requirements: - -**For example**: If you want to use [Codellama 7B](https://huggingface.co/TheBloke/CodeLlama-7B-Instruct-GPTQ/tree/main) models on your own computer, you can take advantage of your GPU and run this with GPTQ file models. - -GPTQ is a format that compresses the model parameters to 4-bit, which reduces the VRAM requirements significantly. You can use the [oobabooga webui](https://github.com/oobabooga/text-generation-webui) or [JanAI](https://jan.ai/), which are simple interfaces that let you interact with different LLMS on your browser. It is pretty easy to set up and run. You can install it on Windows or Linux. (linked it to our installation page) - -**For 7B Parameter Models (4-bit Quantization)** - -| Format | RAM Requirements | VRAM Requirements | Minimum recommended GPU | -| ------------------------------------------------ | -------------------- | ----------------- | ----------------------------------------- | -| GPTQ (GPU inference) | 6GB (Swap to Load\*) | 6GB | GTX 1660, 2060,RTX 3050, 3060 AMD 5700 XT | -| GGML / GGUF (CPU inference) | 4GB | 300MB | | -| Combination of GPTQ and GGML / GGUF (offloading) | 2GB | 2GB | | - -**For 13B Parameter Models (4-bit Quantization)** - -| Format | RAM Requirements | VRAM Requirements | Minimum recommended GPU | -| ------------------------------------------------ | --------------------- | ----------------- | -------------------------------------------------- | -| GPTQ (GPU inference) | 12GB (Swap to Load\*) | 10GB | | -| GGML / GGUF (CPU inference) | 8GB | 500MB | AMD 6900 XT, RTX 2060 12GB, 3060 12GB, 3080, A2000 | -| Combination of GPTQ and GGML / GGUF (offloading) | 10GB | 10GB | | - -**For 34B Parameter Models (4-bit Quantization)** - -| Format | RAM Requirements | VRAM Requirements | Minimum recommended GPU | -| ------------------------------------------------ | --------------------- | ----------------- | -------------------------------------------------------------------- | -| GPTQ (GPU inference) | 32GB (Swap to Load\*) | 20GB | | -| GGML / GGUF (CPU inference) | 20GB | 500MB | RTX 3080 20GB, A4500, A5000, 3090, 4090, 6000, Tesla V100, Tesla P40 | -| Combination of GPTQ and GGML / GGUF (offloading) | 10GB | 4GB | | - -**For 7B Parameter Models (8-bit Quantization)** - -| Format | RAM Requirements | VRAM Requirements | Minimum recommended GPU | -| ------------------------------------------------ | --------------------- | ----------------- | -------------------------------------- | -| GPTQ (GPU inference) | 24GB (Swap to Load\*) | 12GB | RTX 3080, RTX 3080 Ti, RTX 3090, A5000 | -| GGML / GGUF (CPU inference) | 16GB | 1GB | RTX 3060 12GB, RTX 3070, A2000 | -| Combination of GPTQ and GGML / GGUF (offloading) | 12GB | 4GB | RTX 3060, RTX 3060 Ti, A2000 | - -**For 13B Parameter Models (8-bit Quantization)** - -| Format | RAM Requirements | VRAM Requirements | Minimum recommended GPU | -| ------------------------------------------------ | --------------------- | ----------------- | --------------------------------- | -| GPTQ (GPU inference) | 36GB (Swap to Load\*) | 20GB | RTX 4090, A6000, A6000 Ti, A8000 | -| GGML / GGUF (CPU inference) | 24GB | 2GB | RTX 3080 20GB, RTX 3080 Ti, A5000 | -| Combination of GPTQ and GGML / GGUF (offloading) | 20GB | 8GB | RTX 3080, RTX 3080 Ti, A5000 | - -**For 34B Parameter Models (8-bit Quantization)** - -| Format | RAM Requirements | VRAM Requirements | Minimum recommended GPU | -| ------------------------------------------------ | --------------------- | ----------------- | -------------------------------- | -| GPTQ (GPU inference) | 64GB (Swap to Load\*) | 40GB | A8000, A8000 Ti, A9000 | -| GGML / GGUF (CPU inference) | 40GB | 2GB | RTX 4090, A6000, A6000 Ti, A8000 | -| Combination of GPTQ and GGML / GGUF (offloading) | 48GB | 20GB | RTX 4090, A6000, A6000 Ti, A8000 | - -> :memo: **Note**: System RAM, not VRAM, required to load the model, in addition to having enough VRAM. Not required to run the model. You can use swap space if you do not have enough RAM. - -### Performance Recommendations: - -1. **Optimal Performance**: To achieve the best performance when working with CodeLlama models, consider investing in a high-end GPU such as NVIDIA's latest RTX 3090 or RTX 4090. For the largest models like the 65B and 70B, a dual GPU setup is recommended. Additionally, ensure your system boasts sufficient RAM, with a minimum of 16 GB, although 64 GB is ideal for seamless operation. -2. **Budget-Friendly Approach**: If budget constraints are a concern, focus on utilizing CodeLlama GGML/GGUF models that can comfortably fit within your system's available RAM. Keep in mind that while you can allocate some model weights to the system RAM to save GPU memory, this may result in a performance trade-off. - -> :memo: **Note**: It's essential to note that these recommendations are guidelines, and the actual performance you experience will be influenced by various factors. These factors include the specific task you're performing, the implementation of the model, and the concurrent system processes. To optimize your setup, consider these recommendations as a starting point and adapt them to your unique requirements and constraints. diff --git a/docs/docs/hardware/recommendations/by-usecase.md b/docs/docs/hardware/recommendations/by-usecase.md deleted file mode 100644 index 2ae0cb906..000000000 --- a/docs/docs/hardware/recommendations/by-usecase.md +++ /dev/null @@ -1,64 +0,0 @@ ---- -title: Recommended AI Hardware by Use Case ---- - -## Which AI Hardware to Choose Based on Your Use Case - -Artificial intelligence (AI) is rapidly changing the world, and AI hardware is becoming increasingly important for businesses and individuals alike. Choosing the right hardware for your AI needs is crucial to get the best performance and results. Here are some tips for selecting AI hardware based on your specific use case and requirements. - -### Entry-level Experimentation: - -**Personal Use:** -When venturing into the world of AI as an individual, your choice of hardware can significantly impact your experience. Here's a more detailed breakdown: - -- **Macbook (16GB):** A Macbook equipped with 16GB of RAM and either the M1 or the newer M2 Pro/Max processor is an excellent starting point for AI enthusiasts. These cutting-edge chips leverage Apple's innovative Unified Memory Architecture (UMA), which revolutionizes the way the CPU and GPU interact with memory resources. This advancement plays a pivotal role in enhancing the performance and capabilities of LLMs. -- **Nvidia GeForce RTX 3090:** This powerful graphics card is a solid alternative for AI beginners, offering exceptional performance for basic experiments. - -2. **Serious AI Work:** - -- **2 x 3090 RTX Card (48GB RAM):** For those committed to more advanced AI projects, this configuration provides the necessary muscle. Its dual Nvidia GeForce RTX 3090 GPUs and ample RAM make it suitable for complex AI tasks and model training. - -## Business Use - -### For a 10-person Small Business - -Run a LLM trained on enterprise data (i.e. RAG) - -- Mac Studio M2 Ultra with 192GB unified memory - - Cannot train -- RTX 6000 - - Should we recommend 2 x 4090 instead? - -### For a 50-person Law Firm - -- LLM, PDF Parsing, OCR -- Audit logging and compliance - -### For a 1,000-student School - -- Llama2 with safeguards -- RAG with textbook data -- Policy engine - -## Software Engineering - -### Personal Code Assistant - -- Llama34b, needs adequate RAM -- Not recommended to run on local device due to RAM - -### For a 10 person Software Team - -Run Codellama with RAG on existing codebase - -- Codellama34b -- RTX 6000s (48gb) - -## Enterprise - -### For a 1000-person Enterprise - -### For a 10,000-person Enterprise - -- 8 x H100s -- NVAIE with vGPUs diff --git a/docs/docs/how-we-work.md b/docs/docs/how-we-work.md deleted file mode 100644 index 5ab1cc15e..000000000 --- a/docs/docs/how-we-work.md +++ /dev/null @@ -1,40 +0,0 @@ ---- -title: How We Work -slug: /how-we-work -description: How we work at Jan -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - build in public, - remote team, - how we work, - ] ---- - -### Open Source - -Jan is a startup with an open source business model. We believe in the need for an open source AI ecosystem, and are committed to building it. - -- [Jan Framework](https://github.com/janhq/jan) (AGPLv3) -- [Jan Desktop Client & Local server](https://jan.ai) (AGPLv3, built on Jan Framework) -- [Nitro: run Local AI](https://github.com/janhq/nitro) (AGPLv3) - -### Build in Public - -We use GitHub to build in public and welcome anyone to join in. - -- [Jan's Kanban](https://github.com/orgs/janhq/projects/5) -- [Jan's Roadmap](https://github.com/orgs/janhq/projects/5/views/29) -- `coming soon` [Jan's Newsletter](https://newsletter.jan.ai) - -### Remote Team - -Jan has a fully-remote team. We are mainly based in the APAC timezone. We use [Discord](https://discord.gg/af6SaTdzpx) and [Github](https://github.com/janhq) to work. diff --git a/docs/docs/how-we-work/analytics/analytics.md b/docs/docs/how-we-work/analytics/analytics.md deleted file mode 100644 index 22957f01c..000000000 --- a/docs/docs/how-we-work/analytics/analytics.md +++ /dev/null @@ -1,27 +0,0 @@ ---- -title: Analytics -slug: /how-we-work/analytics -description: Jan's Analytics philosophy and implementation -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - analytics, - ] ---- - -Adhering to Jan's privacy preserving philosophy, our analytics philosophy is to get "barely-enough-to-function'. - -#### What is tracked - -1. By default, Github tracks downloads and device metadata for all public GitHub repositories. This helps us troubleshoot & ensure cross-platform support. -2. We use [Umami](https://umami.is/) to collect, analyze, and understand application data while maintaining visitor privacy and data ownership. We are using the Umami Cloud in Europe to ensure GDPR compliance. Please see [Umami Privacy Policy](https://umami.is/privacy) for more details. -3. We use Umami to track a single `app.opened` event without additional user metadata, in order to understand retention. In addition, we track `app.version` to understand app version usage. -4. Additionally, we plan to enable a `Settings` feature for users to turn off all tracking. diff --git a/docs/docs/how-we-work/engineering/assets/01-get-help.png b/docs/docs/how-we-work/engineering/assets/01-get-help.png deleted file mode 100644 index ea347432b..000000000 Binary files a/docs/docs/how-we-work/engineering/assets/01-get-help.png and /dev/null differ diff --git a/docs/docs/how-we-work/engineering/ci-cd.md b/docs/docs/how-we-work/engineering/ci-cd.md deleted file mode 100644 index 34454e850..000000000 --- a/docs/docs/how-we-work/engineering/ci-cd.md +++ /dev/null @@ -1,10 +0,0 @@ ---- -title: CI & CD -slug: /engineering/ci-cd ---- - -## Gitflow - -Previously we were trunk based. Now we use the following Gitflow: - -TODO: @van to include her Mermaid diagram diff --git a/docs/docs/how-we-work/engineering/engineering.md b/docs/docs/how-we-work/engineering/engineering.md deleted file mode 100644 index 63e797629..000000000 --- a/docs/docs/how-we-work/engineering/engineering.md +++ /dev/null @@ -1,22 +0,0 @@ ---- -title: Engineering -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -slug: /engineering -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -## Prerequisites - -- [Requirements](https://github.com/janhq/jan?tab=readme-ov-file#requirements-for-running-jan) -- [Setting up local env](https://github.com/janhq/jan?tab=readme-ov-file#contributing) diff --git a/docs/docs/how-we-work/engineering/qa.mdx b/docs/docs/how-we-work/engineering/qa.mdx deleted file mode 100644 index 9957aaefa..000000000 --- a/docs/docs/how-we-work/engineering/qa.mdx +++ /dev/null @@ -1,81 +0,0 @@ ---- -title: QA -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -slug: /engineering/qa -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -### Phase 1: Planning - -#### Definition of Ready (DoR): - -- [ ] **Scope Defined:** The features to be implemented are clearly defined and scoped out. -- [ ] **Requirements Gathered:** Gather and document all the necessary requirements for the feature. -- [ ] **Stakeholder Input:** Ensure relevant stakeholders have provided input on the document scope and content. - -#### Definition of Done (DoD): - -- [ ] **Document Complete:** All sections of the document are filled out with relevant information. -- [ ] **Reviewed by Stakeholders:** The document has been reviewed and approved by stakeholders. -- [ ] **Ready for Development:** The document is in a state where developers can use it to begin implementation. - -### Phase 2: Development - -#### Definition of Ready (DoR): - -- [ ] **Task Breakdown:** The development team has broken down tasks based on the document. -- [ ] **Communication Plan:** A plan is in place for communication between developers and writers if clarification is needed during implementation. -- [ ] **Developer Understanding:** Developers have a clear understanding of the document content. - -#### Definition of Done (DoD): - -- [ ] **Code Implementation:** The feature is implemented according to the document specifications. -- [ ] **Developer Testing:** - - Unit tests and basic integration tests are completed - - Developer also completed self-testing for the feature (please add this as a comment in the ticket, with the tested OS and as much info as possible to reduce overlaping effort). - - (AC -> Code Changes -> Impacted scenarios) -- [ ] **Communication with Writers:** Developers have communicated any changes or challenges to the writers, and necessary adjustments are made in the document. (Can be through a note in the PR of the feature for writers to take care, or create a separate PR with the change you made for the docs, for writers to review) - -### Phase 3: QA for feature - -#### Definition of Ready (DoR): - -- [ ] **Test Note Defined:** The test note is prepared outlining the testing items. -- [ ] **Environment Ready:** PR merged to nightly build, Nightly build notes updated (automatically from pipeline after merged). -- [ ] **Status:** Ticket moved to the column Testing and assigning to QA/writers to review. -- [ ] **Test Data Prepared:** Relevant test data is prepared for testing the scenarios. - -#### Definition of Done (DoD): - -- [ ] **Test Executed:** All identified test items are executed on different OS, along with exploratory testing. -- [ ] **Defects Logged:** Any defects found during testing are resolved / appropriately logged (and approved for future fix). -- [ ] **Test Sign-Off:** QA team provides sign-off indicating the completion of testing. - -### Phase 4: Release (DoR) - -- [ ] **Pre-release wait time:** Code change to pre-release version should be frozen for at least X (hrs/days) for Regression testing purpose. - - Pre-release cut off on Thu morning for the team to regression test. - - Release to production (Stable) during working hour on Mon morning (if no blocker) or Tue morning. - - During the release cut off, the nightly build will be paused, to leave room for pre-release build. The build version used for regression test will be notified. -- [ ] **Pre-release testing:** A review of the implemented feature has been conducted, a long with regression test (check-list) by the team. - - Release checklist cloned from the templat for different OS (with hackMD link) - - New key test items from new feature added to the checklist. - - Split 3 OS to different team members for testing. -- [ ] **Document Updated:** The document is updated based on the review and feedback on any discrepancies or modification needed for this release. -- [ ] **Reviewed by Stakeholders:** New feature and the updated document is reviewed and approved by stakeholders. The document is in its final version, reflecting the implemented feature accurately. - -### Notes (WIP) - -- [ ] **API collection run:** to run along with nightly build daily, for critical API validation -- [ ] **Automation run:** for regression testing purpose, to reduce manual testing effort for the same items each release on multiple OS. diff --git a/docs/docs/how-we-work/product-design/product-design.md b/docs/docs/how-we-work/product-design/product-design.md deleted file mode 100644 index 30c1e5b21..000000000 --- a/docs/docs/how-we-work/product-design/product-design.md +++ /dev/null @@ -1,26 +0,0 @@ ---- -title: Product & Design -slug: /how-we-work/product-design -description: How we work on product design -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - product design, - ] ---- - -## Roadmap - -- Conversations over Tickets - - Discord's #roadmap channel - - Work with the community to turn conversations into Product Specs -- Future System? - - Use Canny? diff --git a/docs/docs/how-we-work/project-management/project-management.md b/docs/docs/how-we-work/project-management/project-management.md deleted file mode 100644 index b1e76757e..000000000 --- a/docs/docs/how-we-work/project-management/project-management.md +++ /dev/null @@ -1,80 +0,0 @@ ---- -title: Project Management -slug: /how-we-work/project-management -description: Project management at Jan -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - project management, - ] ---- - -We use the [Jan Monorepo Project](https://github.com/orgs/janhq/projects/5) in Github to manage our roadmap and sprint Kanbans. - -As much as possible, everyone owns their respective `epics` and `tasks`. - -:::tip -We aim for a `loosely coupled, but tightly aligned` autonomous culture. -::: - -## Quicklinks - -- [High-level roadmap](https://github.com/orgs/janhq/projects/5/views/16): view used at at strategic level, for team wide alignment. Start & end dates reflect engineering implementation cycles. Typically product & design work preceeds these timelines. -- [Standup Kanban](https://github.com/orgs/janhq/projects/5/views/25): view used during daily standup. Sprints should be up to date. - -## Organization - -[`Roadmap Labels`](https://github.com/janhq/jan/labels?q=roadmap) - -- `Roadmap Labels` tag large, long-term, & strategic projects that can span multiple teams and multiple sprints -- Example label: `roadmap: Jan has Mobile` -- `Roadmaps` contain `epics` - -[`Epics`](https://github.com/janhq/jan/issues?q=is%3Aissue+is%3Aopen+label%3A%22type%3A+epic%22) - -- `Epics` track large stories that span 1-2 weeks, and it outlines specs, architecture decisions, designs -- `Epics` contain `tasks` -- `Epics` should always have 1 owner - -[`Milestones`](https://github.com/janhq/jan/milestones) - -- `Milestones` track release versions. We use [semantic versioning](https://semver.org/) -- `Milestones` span ~2 weeks and have deadlines -- `Milestones` usually fit within 2-week sprint cycles - -[`Tasks`](https://github.com/janhq/jan/issues) - -- Tasks are individual issues (feats, bugs, chores) that can be completed within a few days -- Tasks, except for critical bugs, should always belong to an `epic` (and thus fit into our roadmap) -- Tasks are usually named per [Conventional Commits](https://www.conventionalcommits.org/en/v1.0.0/#summary) -- Tasks should always have 1 owner - -We aim to always sprint on `tasks` that are a part of the [current roadmap](https://github.com/orgs/janhq/projects/5/views/16). - -## Kanban - -- `no status`: issues that need to be triaged (needs an owner, ETA) -- `icebox`: issues you don't plan to tackle yet -- `planned`: issues you plan to tackle this week -- `in-progress`: in progress -- `in-review`: pending PR or blocked by something -- `done`: done - -## Triage SOP - -- `Urgent bugs`: assign to an owner (or @engineers if you are not sure) && tag the current `sprint` & `milestone` -- `All else`: assign the correct roadmap `label(s)` and owner (if any) - -#### Request for help - -As a result, our feature prioritization can feel a bit black box at times. - -We'd appreciate high quality insights and volunteers for user interviews through [Discord](https://discord.gg/af6SaTdzpx) and [Github](https://github.com/janhq). diff --git a/docs/docs/how-we-work/strategy/strategy.md b/docs/docs/how-we-work/strategy/strategy.md deleted file mode 100644 index 001a7c8a2..000000000 --- a/docs/docs/how-we-work/strategy/strategy.md +++ /dev/null @@ -1,53 +0,0 @@ ---- -title: Strategy ---- - -We only have 2 planning parameters: - -- 10 year vision -- 2 week sprint -- Quarterly OKRs - -### Ideal Customer - -Our ideal customer is an AI enthusiast or business who has experienced some limitations with current AI solutions and is keen to find open source alternatives. - -### Problems - -Our ideal customer would use Jan to solve one of these problems. - -_Control_ - -- Control (e.g. preventing vendor lock-in) -- Stability (e.g. runs predictably every time) -- Local-use (e.g. for speed, or for airgapped environments) - -_Privacy_ - -- Data protection (e.g. personal data or company data) -- Privacy (e.g. nsfw) - -_Customisability_ - -- Tinkerability (e.g. ability to change model, experiment) -- Niche Models (e.g. fine-tuned, domain-specific models that outperform OpenAI) - -Sources: [^1] [^2] [^3] [^4] - -[^1]: [What are you guys doing that can't be done with ChatGPT?](https://www.reddit.com/r/LocalLLaMA/comments/17mghqr/comment/k7ksti6/?utm_source=share&utm_medium=web2x&context=3) -[^2]: [What's your main interest in running a local LLM instead of an existing API?](https://www.reddit.com/r/LocalLLaMA/comments/1718a9o/whats_your_main_interest_in_running_a_local_llm/) -[^3]: [Ask HN: What's the best self-hosted/local alternative to GPT-4?](https://news.ycombinator.com/item?id=36138224) -[^4]: [LoRAs](https://www.reddit.com/r/LocalLLaMA/comments/17mghqr/comment/k7mdz1i/?utm_source=share&utm_medium=web2x&context=3) - -### Solution - -Jan is a seamless user experience that runs on your personal computer, that glues the different pieces of the open source AI ecosystem to provide an alternative to OpenAI's closed platform. - -- We build a comprehensive, seamless platform that takes care of the technical chores across the stack required to run open source AI -- We run on top of a local folder of non-proprietary files, that anyone can tinker with (yes, even other apps!) -- We provide open formats for packaging and distributing AI to run reproducibly across devices - -## Prerequisites - -- [Figma](https://figma.com) -- [ScreenStudio](https://www.screen.studio/) diff --git a/docs/docs/how-we-work/website-docs/website-docs.md b/docs/docs/how-we-work/website-docs/website-docs.md deleted file mode 100644 index 007cd16d7..000000000 --- a/docs/docs/how-we-work/website-docs/website-docs.md +++ /dev/null @@ -1,104 +0,0 @@ ---- -title: Website & Docs -slug: /how-we-work/website-docs/ -description: Information about the Jan website and documentation. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - website, - documentation, - ] ---- - -This website is built using [Docusaurus 3.0](https://docusaurus.io/), a modern static website generator. - -### Information Architecture - -We try to **keep routes consistent** to maintain SEO. - -- **`/guides/`**: Guides on how to use the Jan application. For end users who are directly using Jan. - -- **`/developer/`**: Developer docs on how to extend Jan. These pages are about what people can build with our software. - -- **`/api-reference/`**: Reference documentation for the Jan API server, written in Swagger/OpenAPI format. - -- **`/changelog/`**: A list of changes made to the Jan application with each release. - -- **`/blog/`**: A blog for the Jan application. - -### Sidebar Autogeneration - -The order of each page is either explicitly defined in `sidebar.js` or follows the [Docusaurus autogenerated](https://docusaurus.io/docs/next/sidebar/autogenerated) naming format, `##-path-name.md`. - -Important slugs are hardcoded at the document level (and shouldn't be rerouted): - -``` ---- -title: Overview -slug: /docs ---- -``` - -## How to Contribute - -Refer to the [Contributing Guide](https://github.com/janhq/jan/blob/dev/CONTRIBUTING.md) for more comprehensive information on how to contribute to the Jan project. - -### Pre-requisites and Installation - -- [Node.js](https://nodejs.org/en/) (version 20.0.0 or higher) -- [yarn](https://yarnpkg.com/) (version 1.22.0 or higher) - -#### Installation - -```bash -cd jan/docs -yarn install -yarn start -``` - -This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server. - -#### Build - -```bash -yarn build -``` - -This command generates static content into the `build` directory and can be served using any static contents hosting service. - -### Deployment - -Using SSH: - -```bash -USE_SSH=true yarn deploy -``` - -Not using SSH: - -```bash -GIT_USER= yarn deploy -``` - -If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the `gh-pages` branch. - -### Preview URL, Pre-release and Publishing Documentation - -- When a pull request is created, the preview URL will be automatically commented on the pull request. - -- The documentation will then be published to [https://dev.jan.ai/](https://dev.jan.ai/) when the pull request is merged to `dev`. - -- Our open-source maintainers will sync the updated content from `dev` to `docs` branch, which will then be published to [https://jan.ai/](https://jan.ai/). - -### Additional Plugins - -- @docusaurus/theme-live-codeblock -- [Redocusaurus](https://redocusaurus.vercel.app/): manually upload swagger files at `/openapi/jan.yaml` to update the API reference documentation. diff --git a/docs/docs/integrations.md b/docs/docs/integrations.md deleted file mode 100644 index 0884d2242..000000000 --- a/docs/docs/integrations.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Integrations ---- \ No newline at end of file diff --git a/docs/docs/integrations/langchain.md b/docs/docs/integrations/langchain.md deleted file mode 100644 index aef6d6f9d..000000000 --- a/docs/docs/integrations/langchain.md +++ /dev/null @@ -1,7 +0,0 @@ ---- -title: Langchain ---- - -:::caution -WIP -::: diff --git a/docs/docs/integrations/llamacpp.md b/docs/docs/integrations/llamacpp.md deleted file mode 100644 index 2764187c1..000000000 --- a/docs/docs/integrations/llamacpp.md +++ /dev/null @@ -1,9 +0,0 @@ ---- -title: llama.cpp ---- - -## Quicklinks - -- Jan Framework [Extension Code](https://github.com/janhq/jan/tree/main/extensions/inference-nitro-extension) -- ggerganov/llama.pp [Source URL](https://github.com/ggerganov/llama.cpp) -- [Productized Wrapper](https://nitro.jan.ai/): a bit lower effort to use out of the box diff --git a/docs/docs/integrations/ollama.md b/docs/docs/integrations/ollama.md deleted file mode 100644 index eb909789c..000000000 --- a/docs/docs/integrations/ollama.md +++ /dev/null @@ -1,7 +0,0 @@ ---- -title: Ollama ---- - -:::caution -Requested, committed, but not started -::: diff --git a/docs/docs/integrations/openai.md b/docs/docs/integrations/openai.md deleted file mode 100644 index 2205bbcea..000000000 --- a/docs/docs/integrations/openai.md +++ /dev/null @@ -1,8 +0,0 @@ ---- -title: OpenAI ---- - -## Quicklinks - -- Jan Framework [Extension Code](https://github.com/janhq/jan/tree/main/extensions/inference-openai-extension) -- OpenAI API [Reference Docs](https://platform.openai.com/docs/api-reference) diff --git a/docs/docs/integrations/openrouter.md b/docs/docs/integrations/openrouter.md deleted file mode 100644 index 856ca33ef..000000000 --- a/docs/docs/integrations/openrouter.md +++ /dev/null @@ -1,7 +0,0 @@ ---- -title: OpenRouter ---- - -:::caution -Requested, committed, but not started -::: diff --git a/docs/docs/partners/become-a-partner.md b/docs/docs/partners/become-a-partner.md deleted file mode 100644 index dce93e87a..000000000 --- a/docs/docs/partners/become-a-partner.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Become a Partner ---- \ No newline at end of file diff --git a/docs/docs/partners/partners.md b/docs/docs/partners/partners.md deleted file mode 100644 index 1c5eaa0f2..000000000 --- a/docs/docs/partners/partners.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Partners ---- \ No newline at end of file diff --git a/docs/docs/pending-blogpost/02-surpassing-chatgpt-with-open-source-alternatives.mdx b/docs/docs/pending-blogpost/02-surpassing-chatgpt-with-open-source-alternatives.mdx deleted file mode 100644 index 8c72b10ef..000000000 --- a/docs/docs/pending-blogpost/02-surpassing-chatgpt-with-open-source-alternatives.mdx +++ /dev/null @@ -1,136 +0,0 @@ ---- -title: 'Rag Is Not Enough: Lessons from Beating GPT-3.5 on Specialized Tasks with Mistral 7B' -description: 'Creating Open Source Alternatives to Outperform ChatGPT' -slug: /blog/surpassing-chatgpt-with-open-source-alternatives -tags: [Open Source ChatGPT Alternatives, Outperform ChatGPT] -authors: [hahuyhoang411, 0xsage, automaticcat] -date: 2024-03-17 ---- - -## Abstract - -We present a straightforward approach to adapting small, open-source models for specialized use cases, that can surpass GPT 3.5 performance with RAG. With it, we were able to get superior results on Q&A over [technical documentation](https://nitro.jan.ai/docs) describing a small [codebase](https://github.com/janhq/nitro). - -In short, (3) extending a general foundation model like [Mistral](https://huggingface.co/mistralai/Mistral-7B-v0.1) with strong math and coding, and (7) training it over a high-quality, synthetic dataset generated from the intended corpus, and (2) adding RAG capabilities, can lead to significant accuracy improvements. - -Problems still arise with catastrophic forgetting in general tasks, commonly observed during specialized domain fine-tuning. In our case, this is likely exacerbated by our lack of access to Mistral’s original training dataset and various compression techniques used in our approach to keep the model small. - -## Selecting a Strong Foundation Model - -[Mistral 7B](https://huggingface.co/mistralai/Mistral-7B-v0.1) outshines both [Meta's Llama-2 7B](https://huggingface.co/meta-llama/Llama-2-7b) and [Google's Gemma 7B](https://huggingface.co/google/gemma-7b) in key benchmarks, making it our choice for a base model. Starting with a strong foundation like Mistral allowed us to achieve greater accuracy in our specialized adaptations. - -![Mistral vs LLama vs Gemma](assets/mistral-comparasion.png) - -_Figure 1._ Mistral 7B excels in benchmarks, ranking among the top foundational models. - -_Note: we are not sponsored by the Mistral team. Though many folks in their community do like to run Mistral locally using our desktop client - [Jan](https://jan.ai/)._ - -## Cost-Effectively Improving the Base Model - -Mistral alone has known, poor math capabilities, which we needed for our highly technical use case. Thus, we tested all model variants on top of Mistral, from foundation models to finetunes to model merges, in order to find a stronger base model to receive our own finetuning. - -![Merged model vs finetuned models](assets/stealth-comparasion.png) - -_Figure 2._ The merged model, Stealth, doubles the mathematical capabilities of its foundational model while retaining the performance in other tasks. - -We found merging models is quick and cost-effective, enabling fast adjustments based on the result of each iteration. - -We ended up with [Stealth 7B v1.1](https://huggingface.co/jan-hq/stealth-v1.1), a [SLERP](https://github.com/Digitous/LLM-SLERP-Merge) merge of Mistral with the following: - -- [WizardMath](https://huggingface.co/WizardLM/WizardMath-7B-V1.1) for its math capabilities. -- [WizardCoder](https://huggingface.co/WizardLM/WizardCoder-Python-7B-V1.0) for its coding capabilities. -- Our own [Trinity](https://huggingface.co/jan-hq/trinity-v1.2) model for its versatility across general tasks. - -This particular combination yielded the best tradeoff across mathematical & technical reasoning while retaining the most pre-merge performance on general tasks. - -## DPO Finetuning - -Merging different LLMs can lead to a mixed answering style because each model was originally trained on different types of data. - -Thus, we applied Direct Preference Optimization ([DPO](https://arxiv.org/abs/2305.18290)) using the [Intel's Orca DPO pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs) dataset, chosen for its helpful answering style in general, math and coding concentration. - -This approach results in a final model - [Stealth 7B v1.2](https://huggingface.co/jan-hq/stealth-v1.2), with minimal loss, and realign to our technical preferences. - -## Using Our Technical Documentation - -With the base model ready, we started on our specific use case. - -Jan is an open-source & bootstrapped project - at one point during our unanticipated growth, we received 1 customer support ticket per minute, with no one to handle customer service. - -So, we directed our efforts toward training a model to answer user questions based on existing technical documentation. - -Specifically, we trained it on Nitro [docs](https://nitro.jan.ai/docs). For context, Nitro is the default inference engine for Jan. It’s a serious server implementation of LlamaCPP, written in C++, with multimodal, queues, and other production-level server capabilities. - -It made an interesting corpus because it was rife with post-2023 technical jargon, edge cases, and poor informational layout. - -## Generating a Training Dataset for GPT-4 - -The first step was to transform Nitro’s unstructured format into a synthetic Q&A dataset designed for [instruction tuning](https://arxiv.org/pdf/2109.01652.pdf). - -The text was split into chunks of 300-token segments with 30-token overlaps. This helped to avoid a [lost-in-the-middle](https://arxiv.org/abs/2307.03172) problem where LLM can’t use context efficiently to answer given questions. - -The chunks were then given to GPT-4 with 8k context length to generate 3800 Q&A pairs. The [training dataset](https://huggingface.co/datasets/jan-hq/nitro_binarized_v2) is available on HuggingFace. - -## Training - -The training was done with supervised finetuning (SFT) from the [Hugging Face's alignment handbook](https://github.com/huggingface/alignment-handbook) based on the [Huggingface's Zephyr Beta](https://github.com/huggingface/alignment-handbook/tree/main/recipes/zephyr-7b-beta) guidelines. - -We used consumer-grade, dual Nvidia RTX 4090s for the training. The end-to-end training took 18 minutes. We found optimal hyperparameters in LoRA for this specific task to be `r = 256` and `alpha = 512`. - -This final model is publicly available at https://huggingface.co/jan-hq/nitro-v1.2-e3. - -![Using LLM locally](assets/nitro-on-jan.png) - -_Figure 3._ Using the new finetuned model in [Jan](https://jan.ai/). - -## Improving Results With Rag - -As an additional step, we also added [Retrieval Augmented Generation (RAG)](https://blogs.nvidia.com/blog/what-is-retrieval-augmented-generation/) as an experiment parameter. - -A simple RAG setup was done using **[Llamaindex](https://www.llamaindex.ai/)** and the **[bge-en-base-v1.5 embedding](https://huggingface.co/BAAI/bge-base-en-v1.5)** model for efficient documentation retrieval and question-answering. The RAG implementation is publicly available at at https://github.com/janhq/open-foundry/blob/main/rag-is-not-enough/rag/nitro_rag.ipynb - -## Benchmarking the Results - -We curated a new set of [50 multiple-choice questions](https://github.com/janhq/open-foundry/blob/main/rag-is-not-enough/rag/mcq_nitro.csv) (MCQ) based on the Nitro docs. The questions had varying levels of difficulty and had trick components that challenged the model's ability to discern misleading information. - -![Opensource model outperforms GPT](assets/rag-comparasion.png) - -_Figure 4._ Comparison between fine-tuned model and OpenAI's GPT. - -_Table 1._ Result of Benchmarking Different Model With RAG. -| Approach | Performance | -| ----------------------------------------------------------------------------------- | ----------- | -| GPT-3.5 with RAG | 56.7% | -| GPT-4 with RAG | 64.3% | -| Merged 7B Model ([Stealth 7B](https://huggingface.co/jan-hq/stealth-v1.3)) with RAG | 47.7% | -| Finetuned 7B Model (Nitro 7B) with RAG | 57.8% | - -This indicates that with task-specific training, we can improve an open-source, Small Language Model to the level of GPT-3.5 on domain knowledge. - -Notably, the finetuned with RAG approach also demonstrated more consistency across benchmarking, as indicated by its lower standard deviation. - -## Conclusion - -We conclude that this combination of model merging finetuning and RAG yields promise. This finding is relevant for teams and individuals that need specialized, technical SLMs that need to run in resource-constrained or highly secured environments, where GPT may not be an option. - -Anecdotally, we’ve had some success using this model in practice to onboard new team members to the Nitro codebase. - -A full research report with more statistics can be found at https://github.com/janhq/open-foundry/blob/main/rag-is-not-enough/README.md. - -## References - -[1] Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le. Finetuned Language Models Are Zero-Shot Learners. _arXiv preprint arXiv:2109.01652_, 2021. URL: https://arxiv.org/abs/2109.01652 - -[2] Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jianguang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Dongmei Zhang. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. _arXiv preprint arXiv:2308.09583_, 2023. URL: https://arxiv.org/abs/2308.09583 - -[3] Luo, Y., Yang, Z., Meng, F., Li, Y., Zhou, J., & Zhang, Y. An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning. _arXiv preprint arXiv:2308.08747_,2023 URL: https://arxiv.org/abs/2308.08747 - -[4] Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang. WizardCoder: Empowering Code Large Language Models with Evol-Instruct., _arXiv preprint arXiv:2306.08568_, 2023. URL: https://arxiv.org/abs/2306.08568 - -[5] SciPhi-AI, Agent Search. GitHub. URL: https://github.com/SciPhi-AI/agent-search - -[6] Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang. "Lost in the Middle: How Language Models Use Long Contexts." _arXiv preprint arXiv:2307.03172_, 2023. URL: https://arxiv.org/abs/2307.03172 - -[7] Luo, H., Sun, Q., Xu, C., Zhao, P., Lou, J., Tao, C., Geng, X., Lin, Q., Chen, S., & Zhang, D. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. _arXiv preprint arXiv:2308.09583_, 2023. URL: https://arxiv.org/abs/2308.09583 - -[8] nlpxucan et al., WizardLM. GitHub. URL: https://github.com/nlpxucan/WizardLM diff --git a/docs/docs/pending-blogpost/assets/mistral-comparasion.png b/docs/docs/pending-blogpost/assets/mistral-comparasion.png deleted file mode 100644 index efe993982..000000000 Binary files a/docs/docs/pending-blogpost/assets/mistral-comparasion.png and /dev/null differ diff --git a/docs/docs/pending-blogpost/assets/nitro-on-jan.png b/docs/docs/pending-blogpost/assets/nitro-on-jan.png deleted file mode 100644 index 0122f271c..000000000 Binary files a/docs/docs/pending-blogpost/assets/nitro-on-jan.png and /dev/null differ diff --git a/docs/docs/pending-blogpost/assets/rag-comparasion.png b/docs/docs/pending-blogpost/assets/rag-comparasion.png deleted file mode 100644 index 196f46dca..000000000 Binary files a/docs/docs/pending-blogpost/assets/rag-comparasion.png and /dev/null differ diff --git a/docs/docs/pending-blogpost/assets/stealth-comparasion.png b/docs/docs/pending-blogpost/assets/stealth-comparasion.png deleted file mode 100644 index 67427d5c7..000000000 Binary files a/docs/docs/pending-blogpost/assets/stealth-comparasion.png and /dev/null differ diff --git a/docs/docs/pending-blogpost/finetune-with-docs.mdx b/docs/docs/pending-blogpost/finetune-with-docs.mdx deleted file mode 100644 index 064608e9c..000000000 --- a/docs/docs/pending-blogpost/finetune-with-docs.mdx +++ /dev/null @@ -1,302 +0,0 @@ ---- -title: How to Fine-tune Large Language Models - A Tutorial -description: Guide on Finetuning Large Language Models with Personal Dataset -slug: /tutorial/how-to-fine-tune-llms -tags: [Large Language Models, Finetune LLM, Retrieval Augmented Generation, Personal Dataset, Customzied Dataset, Fine Tuning Tutorial] -keywords: [ - Large Language Models, Finetune LLM, Retrieval Augmented Generation, Personal Dataset, Customzied Dataset, Fine Tuning Tutorial -] -authors: - - name: Rex Ha - title: LLM Researcher & Content Writer - url: https://github.com/hahuyhoang411 - image_url: https://avatars.githubusercontent.com/u/64120343?v=4 - email: rex@jan.ai - - name: Ed - - name: Alan Dao - title: AI Engineer - url: https://github.com/tikikun - image_url: https://avatars.githubusercontent.com/u/22268502?v=4 - email: alan@jan.ai ---- - -Large Language Models (LLMs) are all the rage nowadays, with people using them more and more on a daily basis. As our usage increases, many use cases require the LLM to understand our data, and there are two main approaches we can use: - -1. Fine-tuning -2. Retrieval Augmented Generation (RAG) - -This blog will investigate the first approach to see how fine-tuning performs in understanding some technical product documentation. In detail, you will learn how to: - -1. Create a Question and Answer dataset from unstructured data -2. Fine-tune a model using the dataset -3. Run the fine-tuned model using Jan - -Let’s get started! - -## 1. Environment setup - -Our first step is to install the Hugging Face libraries, which provide the backbone for running large language models (LLMs). Additionally, we'll use LangChain as our go-to tool for efficiently handling and processing our data. - -```js title="Install libraries" -# Install Hugging Face libraries -pip install --upgrade \ - "transformers==4.36.2" \ - "datasets==2.16.1" \ - "accelerate==0.26.1" \ - "evaluate==0.4.1" \ - "bitsandbytes==0.42.0" - -# Install libraries for generating data -pip install --upgrade \ - "llama-cpp-python" \ - "pydantic==1.10.11" \ - "sentence-transformers" \ - "chromadb" \ - "langchain" \ - "tiktoken" \ - "openai==0.28" -``` - -In this guide, we'll utilize ChatGPT to create our training dataset. To leverage Hugging Face and OpenAI resources, we first sign into these platforms using the commands below: - -```python title="Setting up credential keys" -# Import libaries -from huggingface_hub import login -import openai - -# Setting up credential keys -OPENAI_KEY_FILE = "YOUR_KEY_HERE" -HUGGINGFACE_KEY_FILE = "YOUR_KEY_HERE" - -openai.api_key = open_file(OPENAI_KEY_FILE) -login(token=HUGGINGFACE_KEY_FILE) -``` - -## **2. Data generation** - -In this tutorial, the “data” we will use will be the [Nitro documentation](https://nitro.jan.ai/). Nitro is an open-source, lightweight (3 MB) inference server to supercharge apps with local AI. - -![About Nitro](img/about-nitro.png) - -**Fig 1. Example of Nitro's documentation.** - -At a basic level, documentation is just pages filled with just words. If we give these words to the LLM as they are, it can confuse the model about what is important. Moreover, the unstructured nature of plain text doesn't provide the contextual clues that LLMs need to understand and generate meaningful responses. - -To teach it, we will use a method called [**"Instruction tuning"**](#what-is-instruction-tuning), which involves refining the model's ability to comprehend and execute text-based instructions more effectively. - -But how do we change the text from the documentation into the right data? We need to make pairs of questions and answers. - -The main idea is that we will break the documents into smaller pieces. Then, we use the LLM to help us develop questions and answers from those pieces. - -*Note: We also open-source the [**Nitro’s documentation training dataset**](https://huggingface.co/datasets/jan-hq/nitro_binarized) in our [**Hugging Face Hub**](https://huggingface.co/jan-hq).* - -**Table 1. Example of Question and Answer pairs** - -| User | Assistant | -|------|-----------| -| Is Nitro an open-source tool? | Yes, Nitro is an open-source tool. | -| What does the `max_tokens` parameter in the prompt request do? | The `max_tokens` parameter in the prompt request is used to specify the maximum number of tokens that the response should contain. A token can be as small as one character or as large as one word. For example, if `max_tokens` is set to 100, the response will contain no more than 100 tokens. | -| What operating systems does the Nitro library support? | The Nitro library supports multiple operating systems including Windows, MacOS, and Linux. This cross-platform compatibility allows it to cater to a wide range of users using different OS. | -| Is Nitro compatible with OpenAI? | Yes, Nitro is compatible with OpenAI. This means that it can work seamlessly with models and applications built using OpenAI's technology. | -| What is the endpoint '/v1/chat/completions' used for in the curl command? | The '/v1/chat/completions' endpoint in the curl command is the specific location in the server where the request is being sent. The purpose of this endpoint is to handle chat completions, likely returning the next predicted response(s) from the chat assistant based on the sent message. | - -You can create your dataset by using the following example code. - -First, we need to define some helper functions to process the raw documents into QnA pairs. - -```python title="Define helper functions" -# Reads and returns the content of a file. -def read_file(filepath): - with open(filepath, 'r', encoding='utf-8') as file: - return file.read() - -# Generates a response from the ChatGPT model -def generate_chatgpt_response(messages, temperature=0.5, model="gpt-3.5-turbo", max_tokens=4096): - response = openai.ChatCompletion.create( - model=model, messages=messages, temperature=temperature, max_tokens=max_tokens - ) - return response['choices'][0]['message']['content'] - -# Process Markdown files -def process_markdown_file(file_path, markdown_splitter, text_splitter): - with open(file_path, 'r') as file: - markdown_document = file.read() - md_header_splits = markdown_splitter.split_text(markdown_document) - return [chunk for split in md_header_splits for chunk in text_splitter.split_documents([split])] - -# Extracts question and answer pairs from a given text -def extract_qa_pairs(text): - qa_pairs = [] - current_pair = {} - lines = text.split('\n') - for line in lines: - if line.startswith('"question": '): - current_pair['question'] = line.split('"question": ')[1].strip(' ",') - elif line.startswith('"answer": '): - current_pair['answer'] = line.split('"answer": ')[1].strip(' ",') - qa_pairs.append(current_pair) - current_pair = {} - return qa_pairs - -# Parse QnA pairs as JSON -def parse_response(response): - try: - parsed_data = json.loads(response) - return parsed_data['qa_pairs'] - except json.JSONDecodeError: - return extract_qa_pairs(response) - -# Create new column in the dataset -def create_message(row): - return [{"content": row['question'], "role": "user"}, {"content": row['answer'], "role": "assistant"}] -``` - -In this case, we're using the Langchain framework to streamline our work, which gives us different ways to handle the processing step with just a few lines of code. Most of our documents are written in a Markdown format, so we'll use the `MarkdownHeaderTextSplitter` function combined with the `TokenTextSplitter` function to ensure we give the LLM the right amount of text to create questions and answers. - -We chose a chunk size of 300 tokens to ensure that when we generate QnA pairs, the generation won't be out of context with the token length of the LLM (normally, it’s capped at 4096 tokens). Also, we applied the overlap technique so that each chunk will contain the context from the previous chunk to make the chunk coherent. - -```python title="Create logic for processing raw data" -# Chunking settings -HEADERS_TO_SPLIT_ON = [("#", "Header 1"), ("##", "Header 2"), ("###", "Header 3")] - -# Main Script Logic -markdown_splitter = MarkdownHeaderTextSplitter(headers_to_split_on=HEADERS_TO_SPLIT_ON) -text_splitter = TokenTextSplitter(chunk_size=300, chunk_overlap=30) -``` - -For generating QnA pairs, we need to set up the prompt for the LLM to generate the model. For this task, we used GPT-4 to generate QnA pairs but you can also try with any other Local LLMs with a little bit of tweaking on the system prompt. - -``` -You are a curious assistant. Your task is to make 10 pairs of questions and answers using the given context delimited by triple quotation marks. You are extremely critical and can ask questions at different difficulty levels. You will be more generic and unique and focus on the Nitro library (the given context is from Nitro library). And you can also answer with the code block. Your `answer` must be detailed, comprehensive and step by step guide. Let's think step by step. It's really important to my project. Strictly follow the JSON format for output with 1 field `qa_pairs` and `question`, `answer`. -``` - -To generate a diverse dataset, we'll configure the LLM to produce 10 QnA pairs per iteration. We'll execute this process three times to enrich the dataset's variety. After setting everything up, let's generate a training dataset. - -```python title -# Set up directory -ROOT_DIR = "PATH/TO/YOUR/DATA/FOLDER" -CSV_FILE_PATH = "PATH/TO/SAVE/OUTPUT/CSV/FILE" -REPO_NAME = "YOUR/HUGGINGFACE/REPO" - -# Initialize data frame -all_chunks = [] -master_df = pd.DataFrame(columns=['question', 'answer', 'raw']) - -# Split raw text into chunks -for subdir, dirs, files in os.walk(ROOT_DIR): - for file in files: - if file.endswith('.md'): - file_path = os.path.join(subdir, file) - file_chunks = process_markdown_file(file_path, - markdown_splitter, - text_splitter) - all_chunks.extend(file_chunks) - -# Generating QnA pairs with GPT -for _ in range(3): - for chunk in all_chunks: - conversation = [{'role': 'system', 'content': open_file(SYSTEM_FILE_PATH)}, - {'role': 'user', 'content': str(chunk)}] - response_verification = chatgpt_completion(conversation) - qa_pairs = extract_qa_pairs_from_response(response_verification) - qa_df = pd.DataFrame(qa_pairs) - qa_df['raw'] = [chunk] * len(qa_df) - master_df = pd.concat([master_df, qa_df], ignore_index=True) -master_df.to_csv(CSV_FILE_PATH, index=False, encoding='utf-8') - -# Deduplication -df = pd.read_csv(CSV_FILE_PATH) -df_deduplicated = df.drop_duplicates() -df_deduplicated['messages'] = df_deduplicated.apply(create_message, axis=1) - -# Convert data frame to Huggingface dataset format -messages = df_deduplicated['message'].tolist() -rejected = df_deduplicated['rejected'].tolist() -hf_dataset = Dataset.from_dict({'messages': messages, 'chosen': messages, 'rejected': rejected}) - -# Split train and test -split_dataset = hf_dataset.train_test_split(test_size=0.1) - -# Push to Hugging Face Hub -split_dataset.push_to_hub(REPO_NAME) -``` - -Please refer to **Table 1** for samples of the generated dataset. - -## **3. Finetuning** - -We use the [alignment-handbook](https://github.com/huggingface/alignment-handbook) from Hugging Face for the training code. This is a well-written library that explains in detail everything about finetuning LLMs. It also provides cutting-edge technology implementation like [LORA/QLoRA](#what-is-lora) or [Flash Attention](#what-is-flash-attention) for efficient training on customer GPUs. - -For installing the alignment-handbook, please follow their [installation guide](https://github.com/huggingface/alignment-handbook?tab=readme-ov-file#installation-instructions). - -In our training setup, we selected the [Stealth v1.3](https://huggingface.co/jan-hq/stealth-v1.3) model as the foundation. We explored different configurations of LoRA/QLoRA, focusing on the parameters `r` and `alpha`. The `r` parameter, denoting the rank in low-rank adaptation, influences the model's learning capacity and complexity, with higher values offering more flexibility at the risk of overfitting. The `alpha` parameter scales the adaptation's effect, balancing new learning and existing knowledge retention. We found `r = 256` and `alpha = 512` to be effective settings. For more details, see our sample YAML configuration file. - -For training the model after installing the repository, you can run the following command: - -```js title="Command to train LLM with alignment handbook" -ACCELERATE_LOG_LEVEL=info \ -accelerate launch \ - --config_file recipes/accelerate_configs/multi_gpu.yaml \ - --num_processes=1 \ - scripts/run_sft.py recipes/nitro/sft/config_lora.yaml -``` - -**Table 2. Training result of Nitro models.** - -| Model | r | alpha | Loss | Time | -|--------------|-----|-------|-------|------| -| Nitro E1 LoRA | 16 | 32 | 1.185 | 3m | -| Nitro E3 LoRA | 16 | 32 | 0.853 | 10m | -| Nitro E1 QLoRA | 256 | 512 | 0.6513| 6m | -| Nitro E3 QLoRA | 256 | 512 | 0.3123| 18m | - -*E: epochs, m: minutes* -*Note: Training times can vary based on hardware specifications. The provided times are for reference purposes only.* - -## **4. Test the model** - -After training the model, it can be tested locally in the GGUF format using [Jan](https://jan.ai/). To convert the fine-tuned model to GGUF, you can utilize this convenient [Google Colab notebook by Maxime Labonne](https://colab.research.google.com/github/mlabonne/llm-course/blob/main/Quantize_Llama_2_models_using_GGUF_and_llama_cpp.ipynb). - -![Finetuned Nitro Respond](img/finetuned-response.png) - -**Fig 2. Using Jan to run a new fine-tuned model.** - -![Finetuned Nitro Respond 2](img/finetuned-respond-2.png) - -**Fig 3. Model answers a technical question related to Nitro.** - -As shown in `Fig 2`, the model successfully learned new information from Nitro's documentation. This indicates that it accurately understands details about Nitro. - -## Limitations - -With this straightforward approach, we show that the model is capable of acquiring new knowledge. However, there's a potential risk of [catastrophic forgetting](https://en.wikipedia.org/wiki/Catastrophic_interference), leading to the model only being good at answering information about Nitro documentation and losing some other abilities. - -In our next blog post, we will further discuss this problem and its solution. - -## **Conclusions** - -In the blog post, we learn how to fine-tune an open-source model using LoRA/QLoRA with documentation of Nitro’s repository on a local machine. We’ve learned: - -- Data generation using LangChain to chunk the documentation and use LLM to make QnA pairs from unstructured data. -- Finetuning the model on generated data using QLoRA with high r and alpha setting. -- Test the model using Jan. - -Combining all those steps, we can train our model on every documentation to create our chatbot. - -## Terminology - -### What is Instruction tuning? - -[Instruction tuning](https://openai.com/research/instruction-following) in LLMs involves refining the model's ability to comprehend and execute text-based instructions more effectively. By training on a diverse set of tasks presented as instructions, the model learns to generalize and apply its knowledge across a wide range of requests, enhancing its responsiveness and accuracy in fulfilling user commands. This process fine-tunes the model on a curated dataset where the inputs are explicit instructions and the desired outputs are model-generated responses, leading to improved performance on instruction-following tasks and a better alignment with user expectations. - -### What is LoRA? - -[Low-Rank Adaptation](https://arxiv.org/abs/2106.09685) (LoRA) is a method that makes fine-tuning large language models more efficient. It breaks down the model's large weight matrices into smaller, trainable matrices. These smaller matrices are the only parts that get updated, leaving the original weights unchanged. This approach significantly reduces the number of parameters that need training, leading to faster and less memory-intensive tuning. Essentially, LoRA is a new way of training LLMs with limited resources but with a little trade-off in performance. - -### What is Langchain? - -[LangChain](https://www.langchain.com/) is an open-source framework designed to simplify the creation of applications powered by large language models (LLMs), such as chatbots and agents. Exactly like its name, it's a chaining language for developers to easily apply advanced prompt techniques to get the most out of it. It also provides developers with a standardized interface and pre-built components, making advanced language understanding and generation more accessible. By abstracting the complexities of LLM integration, LangChain enables the rapid development of intelligent, context-aware applications. Its collaborative ecosystem encourages innovation, leveraging the community's collective expertise to expand the possibilities of AI-driven solutions. - -### What is Flash Attention? - -[Flash Attention](https://github.com/Dao-AILab/flash-attention) is an algorithm that speeds up the core attention mechanism in Transformer language models by restructuring computations. It uses techniques like tiling and recomputation to reduce the high memory costs of attention, enabling models to process longer text sequences. \ No newline at end of file diff --git a/docs/docs/pending-blogpost/img/about-nitro.png b/docs/docs/pending-blogpost/img/about-nitro.png deleted file mode 100644 index 83c5b02bc..000000000 Binary files a/docs/docs/pending-blogpost/img/about-nitro.png and /dev/null differ diff --git a/docs/docs/pending-blogpost/img/finetuned-respond-2.png b/docs/docs/pending-blogpost/img/finetuned-respond-2.png deleted file mode 100644 index 8168fc160..000000000 Binary files a/docs/docs/pending-blogpost/img/finetuned-respond-2.png and /dev/null differ diff --git a/docs/docs/pending-blogpost/img/finetuned-response.png b/docs/docs/pending-blogpost/img/finetuned-response.png deleted file mode 100644 index 90aba7d45..000000000 Binary files a/docs/docs/pending-blogpost/img/finetuned-response.png and /dev/null differ diff --git a/docs/docs/platforms/desktop.md b/docs/docs/platforms/desktop.md deleted file mode 100644 index 1fed9274a..000000000 --- a/docs/docs/platforms/desktop.md +++ /dev/null @@ -1,85 +0,0 @@ ---- -title: Jan Desktop -slug: /desktop -description: Turn your computer into an AI PC -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -# Turn any computer into an AI computer - -![Alt text](image.png) - - - -### Designed for Everyone - -- **Installs with 1 click.** Jan is easy to use, beautiful, and the core features are free forever. -- **Runs on consumer laptops.** Tested by 250k+ users across `Windows, Mac, and Linux`, Jan even works on `CPU-only mode`. -- **Automatic GPU acceleration**. Models responds faster across `NVIDIA, AMD, Apple, and Intel` when benchmarked against industry alternatives. - -:::tip - -“Normies” can run LLMs like an AI engineer on the Desktop App - no programming experience needed. - -::: - -### Private & Offline - -- **Runs 100% locally**. AI models run directly on your laptop without an internet connection. `You own your AI`. -- **Private conversations.** Data is saved on your own filesystem in a transparent non-proprietary data format. `You own your data.` -- **Open source security**. Jan is open source, so you can scruntinize every line in our codebase. So when we say your data is not our product, we mean it. See [the code](https://github.com/janhq/jan) and our [data policy](/how-we-work/analytics). - -### Customizable AI - -- **Use AI without limitations.** Take control of censorship levels. Jan is usable from the classroom to the boardroom (and few other rooms if that’s your jam). -- **Use any models**. Download open source models from HuggingFace or upload your own custom models. [link] - -:::tip - -Download Jan Desktop Client [here](https://github.com/janhq/jan?tab=readme-ov-file#download). - -::: - -## Jan Desktop is - -### For Developers - -**You can easily integrate a locally running LLM into your own projects.** - -- Turn on `Local API Server` mode to start building on an `OpenAI compatible API`. -- Jan Desktop comes with a Developer Console out of the box. -- The UI makes it easy to see logs, configure models and more. - -![Alt text](image-1.png) - - - -### For Your Home Server - - - -- Use Jan as a UI only, pointing to a different backend. [See Docs](/guides/using-models/integrate-with-remote-server) -- Use Jan as a backend only, pointing to a different frontend. [See Docs](/guides/using-models/integrate-with-remote-server) -- Run Jan in team-mode on production-grade GPUs. [See Server Suite](/server-suite) - - - -### For People who Tinker - -- Customize the app’s look and feel though Themes. -- Customize assistants, models and other features with **no code**. -- Customize the entire Application through Extensions. Inspired by VSCode extensions, the desktop app can be entirely customized. - -[See the default extensions](https://github.com/janhq/jan/tree/main/extensions) bundled with every Desktop install. -![Alt text](image-4.png) diff --git a/docs/docs/platforms/hub.md b/docs/docs/platforms/hub.md deleted file mode 100644 index 9d8167618..000000000 --- a/docs/docs/platforms/hub.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Jan Hub ---- \ No newline at end of file diff --git a/docs/docs/platforms/image-1.png b/docs/docs/platforms/image-1.png deleted file mode 100644 index cd94f34e9..000000000 Binary files a/docs/docs/platforms/image-1.png and /dev/null differ diff --git a/docs/docs/platforms/image-2.png b/docs/docs/platforms/image-2.png deleted file mode 100644 index cc75d39ce..000000000 Binary files a/docs/docs/platforms/image-2.png and /dev/null differ diff --git a/docs/docs/platforms/image-3.png b/docs/docs/platforms/image-3.png deleted file mode 100644 index 20828beb9..000000000 Binary files a/docs/docs/platforms/image-3.png and /dev/null differ diff --git a/docs/docs/platforms/image-4.png b/docs/docs/platforms/image-4.png deleted file mode 100644 index 38b75c1da..000000000 Binary files a/docs/docs/platforms/image-4.png and /dev/null differ diff --git a/docs/docs/platforms/image.png b/docs/docs/platforms/image.png deleted file mode 100644 index 0237898c7..000000000 Binary files a/docs/docs/platforms/image.png and /dev/null differ diff --git a/docs/docs/platforms/mobile.md b/docs/docs/platforms/mobile.md deleted file mode 100644 index d502cb99a..000000000 --- a/docs/docs/platforms/mobile.md +++ /dev/null @@ -1,17 +0,0 @@ ---- -title: Jan Mobile -slug: /mobile -description: Jan Mobile allows you to bring your AI on the go -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- diff --git a/docs/docs/pricing/pricing.md b/docs/docs/pricing/pricing.md deleted file mode 100644 index 958c021ee..000000000 --- a/docs/docs/pricing/pricing.md +++ /dev/null @@ -1,24 +0,0 @@ ---- -title: Pricing -slug: /pricing -description: Pricing for Jan -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - pricing, - ] ---- - -| $0 | $1 | Enterprise | -| ---------------- | ---------------- | ----------------------- | -| Free | Premium | TBA | -| ✅ Core features | ✅ Discord badge | ✅ Enterprise-level SLA | -| ✅ free forever | | | diff --git a/docs/docs/privacy/privacy.md b/docs/docs/privacy/privacy.md deleted file mode 100644 index 9bf408810..000000000 --- a/docs/docs/privacy/privacy.md +++ /dev/null @@ -1,29 +0,0 @@ ---- -title: Privacy - Jan ---- - -# Privacy Policy - -Jan is committed to protecting your privacy and ensuring that your personal information is handled in a safe and responsible way. This policy outlines how we collect, store, and use your personal information when you use our mobile application. - -## Data Collection and Usage - -When you use Jan, we may collect certain information about you, including your name, email address, and other personal information that you provide to us. We use this information to provide you with the best possible experience when using our app. - -We may also collect certain non-personal information, such as your device type, operating system, and app usage data. This information is used to improve our app and to provide you with a better user experience. - -## Data Sharing - -We do not share your personal information with third parties except as required by law or as necessary to provide you with the services you have requested. We may share non-personal information with third parties for the purpose of improving our app and providing you with a better user experience. - -## Data Security - -We take the security of your personal information seriously and have implemented appropriate technical and organizational measures to protect your personal information from unauthorized access, disclosure, or misuse. - -## Your Choices - -You have the right to access, update, and delete your personal information at any time. You may also opt-out of receiving marketing communications from us by following the unsubscribe link included in our emails. - -## Contact Us - -If you have any questions or concerns about our privacy policy, please contact us at hello@jan.ai. diff --git a/docs/docs/releases/changelog/README.mdx b/docs/docs/releases/changelog/README.mdx deleted file mode 100644 index 8cd181cd3..000000000 --- a/docs/docs/releases/changelog/README.mdx +++ /dev/null @@ -1,23 +0,0 @@ ---- -title: Changelog -sidebar_position: 1 -slug: /changelog -description: Jan is a ChatGPT-alternative that runs on your own computer, with a local API server. -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - changelog, - ] ---- - -import DocCardList from "@theme/DocCardList"; - - diff --git a/docs/docs/releases/changelog/cache.json b/docs/docs/releases/changelog/cache.json deleted file mode 100644 index 13bb08d60..000000000 --- a/docs/docs/releases/changelog/cache.json +++ /dev/null @@ -1,9598 +0,0 @@ -{ - 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"body": "## Changes\r\n\r\n- Release cut v0.4.8 @louis-jan (#2267)\r\n- Add modify notary team in CI @hiento09 (#2265)\r\n- Chore: Update new models to model hub @hahuyhoang411 (#2192)\r\n- Macos Notarize migrage to new Team ID @hiento09 (#2228)\r\n- docs: update API Reference assistants\\_id endpoint from DevDocs @avb-is-me (#2195)\r\n- docs: update API Reference assistants endpoint from DevDocs @avb-is-me (#2194)\r\n- docs: update API Reference threads endpoint from DevDocs @avb-is-me (#2182)\r\n- fix: wrong profile parameter in docker command @mooncool (#2159)\r\n- Sync release 0.4.7 to dev @louis-jan (#2151)\r\n- docs: add upstream acknowledgements @hieu-jan (#2136)\r\n- Sync dev branch to docs branch @hieu-jan (#2131)\r\n\r\n## 🚀 Features\r\n\r\n- feat: prompt user to download an update manually @louis-jan (#2261)\r\n- feat: Jan can see @hiro-v (#2069)\r\n- Revert feat: temporary remove dark mode @urmauur (#2221)\r\n- feat: add turborepo @louis-jan (#2220)\r\n- fix: change button import model on hub page @urmauur (#2178)\r\n- feat: temporary remove dark mode :( @urmauur (#2168)\r\n- feat: add import model feature @namchuai (#2104)\r\n- feat: restore docusaurus style @urmauur (#2152)\r\n- feat: add a simple way to convert Hugging Face model to GGUF @Helloyunho (#1972)\r\n\r\n## 🐛 Fixes\r\n\r\n- codesign script force sign @hiento09 (#2291)\r\n- fix: should not attach error messages to the completion request @louis-jan (#2258)\r\n- fix: image upload button and drag event are not enabled @louis-jan (#2248)\r\n- fix: error message being sent along with conversation when inference @namchuai (#2242)\r\n- fix: replaced user path from app log @namchuai (#2238)\r\n- fix: drag and drop support image format to support vision model @urmauur (#2237)\r\n- fix: re-configure changelog sections @hieu-jan (#2230)\r\n- fix: import from HuggingFace with random string is causing app crash @louis-jan (#2214)\r\n- fix: comment from QA regarding import model @namchuai (#2213)\r\n- fix: download model error does not reset state in model hub @namchuai (#2199)\r\n- fix: minor ui missing secondary background @urmauur (#2198)\r\n- docs: update docker command @hieu-jan (#2180)\r\n- fix: some bugs for import model @namchuai (#2181)\r\n- fix: change button import model on hub page @urmauur (#2178)\r\n- fix space between progress bar and title list of gpu @urmauur (#2177)\r\n- fix: disabled prompt user using dangerouslySetInnerHTML @urmauur (#2176)\r\n- fix: style list of gpus on system monitor @urmauur (#2172)\r\n- fix: system monitor expand overlap tooltip ribbon @urmauur (#2158)\r\n- Huggingface extension add codesign step for building on darwin @hiento09 (#2166)\r\n- Add run codesign for huggingface extension @hiento09 (#2163)\r\n- fix: system monitor ui @urmauur (#2135)\r\n\r\n## 🧰 Maintenance\r\n\r\n- chore: temporary remove convert model @namchuai (#2266)\r\n- docs: sync slug fix from dev branch to docs branch @hieu-jan (#2264)\r\n- docs: Update broken link and fix the slug @aindrajaya (#2260)\r\n- docs: Fix navbar issues. Keep stay when clicked other menu items from the sidebar @aindrajaya (#2253)\r\n- docs: sync docs hub fixes from dev to docs branch @hieu-jan (#2247)\r\n- docs: Update content for Hub page and Guides section @aindrajaya (#2245)\r\n- docs: Fix Dark Mode on the Hub page and Update the Navbar functionality @aindrajaya (#2243)\r\n- chore: sync dev branch to docs branch @hieu-jan (#2239)\r\n- Chore: add prefix latest for task clean r2 bucket @hiento09 (#2233)\r\n- fix: re-configure changelog sections @hieu-jan (#2230)\r\n- docs: add command run API server without frontend @hieu-jan (#2231)\r\n- docs: revamp entire Jan guides @hieu-jan (#2139)\r\n- chore: clean up some redundant code @namchuai (#2215)\r\n- docs: update API Reference chatCompletions from DevDocs @avb-is-me (#2171)\r\n- docs: update API Reference download model from DevDocs @avb-is-me (#2170)\r\n- docs: update API Reference model\\_id from DevDocs @avb-is-me (#2169)\r\n- docs: update API Reference listModel from DevDocs @avb-is-me (#2161)\r\n- docs: Update 08-antivirus-compatibility-testing.md @0xSage (#2186)\r\n- docs: adding new feature for v0.4.7 to release checklist @Van-QA (#2189)\r\n- docs: Update 01-integrate-continue.mdx @0xSage (#2187)\r\n- chore: bump nitro 0.3.14 @louis-jan (#2183)\r\n- docs: Sync dev branch to docs branch @hieu-jan (#2185)\r\n- docs: update docker command @hieu-jan (#2180)\r\n- docs: update wall of love @hieu-jan (#2179)\r\n- docs: add Jan newsletter @hieu-jan (#2174)\r\n- chore: make convert gguf as experimental feature @namchuai (#2156)\r\n- docs: update acknowledgements @hieu-jan (#2147)\r\n- feat: restore docusaurus style @urmauur (#2152)\r\n- docs: update run Jan in Docker mode @hieu-jan (#2150)\r\n- Docs pena team - Add Quickstart Docs @aindrajaya (#2138)\r\n- docs: hide incomplete pages @hieu-jan (#2127)\r\n\r\n## Contributor\r\n\r\n@0xSage, @Helloyunho, @Van-QA, @aindrajaya, @avb-is-me, @hahuyhoang411, @hiento09, @hieu-jan, @hiro-v, @jan-service-account, @louis-jan, @mooncool, @namchuai and @urmauur\r\n", - "reactions": { - "url": "https://api.github.com/repos/janhq/jan/releases/145763492/reactions", - "total_count": 8, - "+1": 0, - "-1": 0, - "laugh": 0, - "hooray": 0, - "confused": 0, - "heart": 8, - "rocket": 0, - "eyes": 0 - }, - "mentions_count": 14 - }, - { - "url": "https://api.github.com/repos/janhq/jan/releases/143551170", - "assets_url": "https://api.github.com/repos/janhq/jan/releases/143551170/assets", - "upload_url": "https://uploads.github.com/repos/janhq/jan/releases/143551170/assets{?name,label}", - "html_url": "https://github.com/janhq/jan/releases/tag/v0.4.7", - "id": 143551170, - "author": { - "login": "github-actions[bot]", - "id": 41898282, - "node_id": "MDM6Qm90NDE4OTgyODI=", - 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jan about @louis-jan (#2114)\r\n- fix: flow edit message @urmauur (#2113)\r\n- fix: tools section should be expanded by default @louis-jan (#2110)\r\n- fix: failed to bind port - nitro error message copy @louis-jan (#2101)\r\n- fix: remove caret down icon when tab selected into remote model @urmauur (#2102)\r\n- fix: openai client sdk compatible @louis-jan (#2096)\r\n- Fix bug #2005 docker blank website @hiento09 (#2093)\r\n- fix: check if port is occupied before start local server @namchuai (#2098)\r\n- fix: broken model.json update @louis-jan (#2099)\r\n- fix: make text input scrollable @urmauur (#2083)\r\n- fix: failed to send message blocks thread creation @louis-jan (#2091)\r\n- fix: server crashes on missing module @louis-jan (#2089)\r\n- fix: expand assistant and model settings by default @louis-jan (#2081)\r\n- fix: move jan data folder - error handling for no write permission granted @louis-jan (#2077)\r\n- fix: check for updates should show no update are available on the latest build @louis-jan (#2075)\r\n- fix: infinity showed when haven't get total size @namchuai (#2066)\r\n- fix: should stop running the model when GPU settings are changed @louis-jan (#2067)\r\n- fix: settings page state loop and dark theme @louis-jan (#2065)\r\n- fix: Fix Nitro windows with error 3221225781 @hiro-v (#2057)\r\n- fix: message should only be interrupted when i start another thread @louis-jan (#2053)\r\n- fix: local server start error should not change to started state @louis-jan (#2052)\r\n- fix: update copy of message queue @louis-jan (#2051)\r\n- fix: download mutilple binaries @namchuai (#2043)\r\n- fix: disable gpu drop down box if there's no GPU ready @namchuai (#2046)\r\n- fix: app should generate thread title with length restriction @louis-jan (#2037)\r\n- fix: factory reset not remove jan data folder @namchuai (#2027)\r\n- fix: content setting right panel default to collapse @urmauur (#2026)\r\n- fix: local server blank parameters if there is no thread selected @louis-jan (#2028)\r\n- fix: model path backward compatible @louis-jan (#2018)\r\n- fix: resolve state update loop infinitive rerendering @louis-jan (#2017)\r\n- fix: lack of auto-cleaning mechanism for logs @louis-jan (#2003)\r\n- fix: app stuck regenerating assistant response @louis-jan (#2001)\r\n- fix: decouple thread summary update @louis-jan (#1994)\r\n- fix: app fails gracefully with clear error messages @louis-jan (#1993)\r\n- fix: retrieval stuck at generating response @louis-jan (#1988)\r\n- Fix macos auto update failed on nightly build @hiento09 (#1991)\r\n- fix: model downloads broken on nightly @louis-jan (#1984)\r\n- fix: RAG enhancements @urmauur (#1965)\r\n- Update docs run Jan Server in Docker mode @hiento09 (#1960)\r\n- fix: update conditional check last status message @urmauur (#1951)\r\n- fix: markdown render for chat completion role user @urmauur (#1944)\r\n- fix: avoid users to create so many threads at the same time @urmauur (#1930)\r\n- fix: download model will close panel item hub @urmauur (#1923)\r\n\r\n## 🧰 Maintenance\r\n\r\n- docs: improve integrations guide \\& import model using absolute path @hieu-jan (#2076)\r\n- chore: add app version into log @namchuai (#2116)\r\n- docs: add integration docs Mistral AI API @hieu-jan (#2070)\r\n- docs:add-advanced-settings-https-proxy @hieu-jan (#2054)\r\n- chore: refactor watch system resource hook @louis-jan (#2048)\r\n- docs: Updates Guide Using the Local Server @SamPatt (#1924)\r\n- server install core using link instead of file @hiento09 (#2025)\r\n- chore: prettier fix @louis-jan (#2019)\r\n- chore: bump nitro 0.3.9 @louis-jan (#2016)\r\n- refactor: reduce IPC \\& API handlers - shared node logics @louis-jan (#2011)\r\n- docs: update 03-gpu-not-used with RTX issues @hieu-jan (#1992)\r\n- docs: add Jan installation using Docker @hieu-jan (#1981)\r\n- chore: reduce bundle size @louis-jan (#1970)\r\n- docs: add author.yml @hieu-jan (#1973)\r\n- Update authors.yml hien @hiento09 (#1953)\r\n- chore: server download progress + S3 @louis-jan (#1925)\r\n- chore: add author james @namchuai (#1952)\r\n- chore: Add author - Ashley @imtuyethan (#1950)\r\n- chore: Add Author - Hiro @hiro-v (#1949)\r\n- docs: adding new feature for v0.4.6 to release checklist @Van-QA (#1927)\r\n\r\n## Contributor\r\n\r\n@0xSage, @0xgokuz, @SamPatt, @Van-QA, @hahuyhoang411, @hiento09, @hieu-jan, @hiro-v, @imtuyethan, @jan-service-account, @ldebs, @louis-jan, @namchuai, @urmauur and James\r\n", - "reactions": { - "url": "https://api.github.com/repos/janhq/jan/releases/143551170/reactions", - "total_count": 12, - "+1": 11, - "-1": 0, - "laugh": 0, - "hooray": 0, - "confused": 0, - "heart": 1, - 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"body": "## Changes\r\n\r\n- fix(Wording): #1758 correct text for windows @namchuai (#1768)\r\n- fix(Log): server log is not display in windows @namchuai (#1764)\r\n- Release Cut v0.4.5 @louis-jan (#1752)\r\n- chore(nitro): 0.2.11 -> 0.2.12 @hiro-v (#1754)\r\n- fix: Nitro CPU threads with correct physical/ performance CPU count @hiro-v (#1726)\r\n- fix(Model): #1662 imported model does not use gpu @namchuai (#1723)\r\n- fix(API): #1720 host/port provided in the local API server does not fully applied @namchuai (#1721)\r\n- fix: server API reference @hiro-v (#1670)\r\n- fix(Model): refactor model label @namchuai (#1596)\r\n- docs/postmortem v 0.4.4 @hieu-jan (#1617)\r\n- chore(ShortcutModal): clean up shortcut modal @namchuai (#1614)\r\n- chore(Dependencies): upgrade node-fetch to fix vulnerable issue @namchuai (#1598)\r\n\r\n## 🚀 Features\r\n\r\n- feat: update UI allow user change folder @urmauur (#1738)\r\n- feat: error message when not enough RAM @urmauur (#1706)\r\n- feat: improvement ux for local api server @urmauur (#1704)\r\n- feat: allow user to move jan folder @namchuai (#1649)\r\n- feat: HTTP proxy support @markmehere (#1562)\r\n- Feature add schedule clean cloudflare page and r2 @hiento09 (#1653)\r\n- feat: relayout left panel setting page @urmauur (#1648)\r\n- Update CI follow git flow @hiento09 (#1625)\r\n- feat: Implement UI page API server dashboard @urmauur (#1636)\r\n- fix: #1545 long thread title @lucido-simon (#1605)\r\n\r\n## 🐛 Fixes\r\n\r\n- fix: model selection does not show in API settings page @louis-jan (#1828)\r\n- fix: user can't view model setting in local api server @namchuai (#1807)\r\n- fix: cannot change jan data folder @namchuai (#1805)\r\n- fix: model selection does not show in API settings page @louis-jan (#1802)\r\n- fix: user can't use a model in model hub @namchuai (#1801)\r\n- fix: stop openai inference raises something amiss @louis-jan (#1799)\r\n- regression fix: input disabled darkmode @urmauur (#1800)\r\n- fix: clean last message when user clean thread message @namchuai (#1793)\r\n- fix: app log not being printed @namchuai (#1790)\r\n- fix: api settings are not applied on changes @louis-jan (#1789)\r\n- fix: could not delete model @louis-jan (#1779)\r\n- fix: can not start model when server is not enabled from model settings page @louis-jan (#1774)\r\n- regression fix: input port not accept alphabets @urmauur (#1772)\r\n- Correct bash script syntax in ci @hiento09 (#1769)\r\n- Hotfix CI pre-release not trigger @hiento09 (#1757)\r\n- fix: bring back open app directory @louis-jan (#1756)\r\n- fix: input port have range validation @urmauur (#1741)\r\n- Fix error nightly build schedule run failed @hiento09 (#1736)\r\n- fix: active model when start server @urmauur (#1719)\r\n- fix: Change to fixed `localhost` instead of using host variable @hiro-v (#1729)\r\n- Fix autoupdater nightly build error @hiento09 (#1727)\r\n- Correct download url readme @hiento09 (#1724)\r\n- fix: API chat/completion is blocked by CORS @louis-jan (#1705)\r\n- fix: Jan server - v1/chat/completions is throwing ERR\\_REQUIRE\\_ESM @louis-jan (#1703)\r\n- fix: Jan server is showing blank page @louis-jan (#1702)\r\n- fix: switching loader from remote to local model from thread right panel @urmauur (#1692)\r\n- fix: hot-fix algolia search @hieu-jan (#1700)\r\n- fix: disable api key field while server is running @urmauur (#1694)\r\n- fix: stoping model show starting model @urmauur (#1693)\r\n- fix bug #1650 hogging resources @hiento09 (#1663)\r\n- fix: auto select text when collapse panel @urmauur (#1645)\r\n- fix: wrong selected model ref @louis-jan (#1638)\r\n- fix: enable check for update on all supported platforms @louis-jan (#1626)\r\n- fix: correct footer @hieu-jan (#1628)\r\n\r\n## 🧰 Maintenance\r\n\r\n- Docs publish to github page trigger on push to docs branch @hiento09 (#1783)\r\n- Correct bash script syntax in ci @hiento09 (#1769)\r\n- Combine 2 ci pipeline pre-release and nightly into one @hiento09 (#1767)\r\n- Hotfix CI pre-release not trigger @hiento09 (#1757)\r\n- Fix error nightly build schedule run failed @hiento09 (#1736)\r\n- docs: add troubleshoot unexpected token @hieu-jan (#1711)\r\n- docs: fix about pages @0xSage (#1699)\r\n- refactor: deprecate extension type implementation @louis-jan (#1677)\r\n- refactor: file prefix replace utils \\& add unit test @louis-jan (#1676)\r\n- Correct ref branch for update url on README.md file @hiento09 (#1672)\r\n- docs: update 02-somethings-amiss @hieu-jan (#1668)\r\n- Cherrypick cicd to main branch to apply new gitflow @hiento09 (#1665)\r\n- docs: add user and developer guides for extensions @hieu-jan (#1657)\r\n- docs: add QA Script @hieu-jan (#1660)\r\n- chore: Bump nitro to 0.2.11 @hiro-v (#1655)\r\n- chore: Bump version nitro to 0.2.10 @hiro-v (#1644)\r\n- docs: add antivirus compatibility testing @hieu-jan (#1641)\r\n- refactor: introduce node module in nitro extension @louis-jan (#1630)\r\n- Update 02-somethings-amiss.mdx @Ssstars (#1634)\r\n- docs: add integration AzureOpenAI @hieu-jan (#1632)\r\n- docs: add troubleshooting permission denied @hieu-jan (#1631)\r\n\r\n## Contributor\r\n\r\n@0xSage, @Ssstars, @hiento09, @hientominh, @hieu-jan, @hiro-v, @jan-service-account, @louis-jan, @lucido-simon, @markmehere, @namchuai and @urmauur\r\n", - 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"body": "## Changes\r\n\r\n- Update 2023-11-05-hello-world.md @Ssstars (#1587)\r\n- fix(API): #1511 update swagger page @namchuai (#1572)\r\n- fix(Thread): #1212 thread.json not created when user change thread settings @namchuai (#1570)\r\n- fix(Thread): #1336 not allow creating too many unfinished thread @namchuai (#1538)\r\n- Update 01-how-to-get-involved-and-FAQ.mdx @Ssstars (#1555)\r\n- Update 01-how-to-get-involved-and-FAQ.mdx @Ssstars (#1553)\r\n- Update 02-embracing-pod-structure.mdx @Ssstars (#1550)\r\n- Update 01-how-we-hire.mdx @Ssstars (#1551)\r\n- Update 01-how-we-hire.mdx @Ssstars (#1524)\r\n- fix(InferenceExtension): #1067 sync the nitro process state @namchuai (#1493)\r\n- fix(Messages): #1434 create message via api does not display on app correctly @namchuai (#1479)\r\n- Docs for the Integration of Continue and Jan in VSCode @0xgokuz (#1467)\r\n- Chore: Update model.json for UI @hahuyhoang411 (#1448)\r\n- Docs for Installing Models from Hub @0xgokuz (#1450)\r\n- Update about.md @Ssstars (#1436)\r\n- feat(UI): #1404 make left side bar collapsible by hot key @namchuai (#1420)\r\n- docs: Typo in 06-hardware.md @akaMrNagar (#1408)\r\n- fix(API): #1409 fix wrong prefix for threads api @namchuai (#1410)\r\n- Update model hub @hahuyhoang411 (#1383)\r\n- fix(Model): remove unsupported default model setting params @namchuai (#1382)\r\n- fix(trinity): update cover path for trinity v1.2 @hahuyhoang411 (#1380)\r\n- Chore/update model hub @hahuyhoang411 (#1342)\r\n- Update about.md @Ssstars (#1359)\r\n- fix(JanHub): #1158 sort model list @namchuai (#1257)\r\n- fix(Message): open link with external browser @namchuai (#1339)\r\n- feat(Model): #1028 made model.json optional @namchuai (#1314)\r\n- docs: Update onboarding.md @Diane0111 (#1293)\r\n- fix: clean resource on exit @louis-jan (#1290)\r\n- fix: posthog configuration @hieu-jan (#1283)\r\n- docs: update README.md @eltociear (#1277)\r\n- Enable scrolling in the message chat box @Gri-ffin (#1280)\r\n- chore: Update README.md @sr-albert (#1263)\r\n- Adding new model to the Hub @hahuyhoang411 (#1213)\r\n- Feature GPU detection for Jan on Windows and Linux @hiento09 (#1242)\r\n- fix(Thread): #1168 fix newly created thread cannot select model after restart @namchuai (#1176)\r\n\r\n## 🚀 Features\r\n\r\n- feat: add compatibility tag to model selection in right panel @urmauur (#1552)\r\n- Feature integrate antivirus scanner to ci @hiento09 (#1529)\r\n- feat: [hub] update compatibility tags colors @urmauur (#1516)\r\n- feat: hub recommendation labels @urmauur (#1440)\r\n- Feature linux support app image format @hiento09 (#1442)\r\n- fix: render external links @urmauur (#1441)\r\n- fix: add icon collapsible left panel and update keyboard shortcut page @urmauur (#1439)\r\n- feat(UI): update UI footer @urmauur (#1424)\r\n- Fix Bug for Chat Reply Goes off Screen @mishrababhishek (#1393)\r\n- feat: move social media from left panel into footer @urmauur (#1325)\r\n- feat: implementation new UI thread settings @urmauur (#1301)\r\n- Bring social media links @Gri-ffin (#1295)\r\n- feat: added keyboard shortcut list in setting page @urmauur (#1275)\r\n- feat: add swagger /docs to localhost:1337 @louis-jan (#1268)\r\n- feat: update posthog configuration @hieu-jan (#1258)\r\n- feat: Deprecate model.json ready state in favor of .download ext @louis-jan (#1238)\r\n- feat: add engine settings @namchuai (#1199)\r\n- feat: users should be able to switch models mid-thread @louis-jan (#1226)\r\n- feat: temporary link how to import model @urmauur (#1209)\r\n\r\n## 🐛 Fixes\r\n\r\n- fix: #1594 - Model settings - change thread model - go back does not see according settings @louis-jan (#1595)\r\n- fix: #1548 - duplicate command shortcut instruction @louis-jan (#1600)\r\n- fix: switch model caused app crash @louis-jan (#1597)\r\n- fix: #1559 Inference Parameters displayed on new thread with Openai GPT Model @louis-jan (#1588)\r\n- fix: enable user set value manually model setting from input @urmauur (#1585)\r\n- fix: #1569 - Does not apply thread settings when loading model @louis-jan (#1576)\r\n- fix: could not change model params settings @louis-jan (#1547)\r\n- fix: gpu check module export does not work in extension @louis-jan (#1536)\r\n- fix: adjust calculation hub labels using total RAM instead remaining RAM @urmauur (#1522)\r\n- Feature integrate antivirus scanner to ci @hiento09 (#1529)\r\n- fix: allow users to set max tokens variably @urmauur (#1513)\r\n- fix: stop word update @louis-jan (#1457)\r\n- Revert nitro to 0.2.6 @hiento09 (#1491)\r\n- fix: enable text selection codeblock @urmauur (#1466)\r\n- fix: suppress all main node JS error message dialog @louis-jan (#1460)\r\n- Correct AppImage path @hiento09 (#1446)\r\n- fix: render external links @urmauur (#1441)\r\n- fix: add icon collapsible left panel and update keyboard shortcut page @urmauur (#1439)\r\n- fix: GET /models does not work due to new default model dir @louis-jan (#1392)\r\n- fix: model migration stopped working @louis-jan (#1378)\r\n- fix: wrong condition for displaying error message @louis-jan (#1376)\r\n- fix: show hide section engine params @urmauur (#1374)\r\n- fix: copy stream tooltip and hide section when no params setting @urmauur (#1373)\r\n- bugs: fix stop streaming when user delete or clean thread @urmauur (#1347)\r\n- fix: show a proper error message on download failure @louis-jan (#1345)\r\n- Add detect cuda version jan app @hiento09 (#1351)\r\n- fix: Error occurred: Unexpected token \"d\", \"data: ...\" is not a valid JSON @louis-jan (#1332)\r\n- fix: app getting stuck at downloading 99% while downloading model @louis-jan (#1320)\r\n- correct type utf-8 @hiento09 (#1311)\r\n- Fix memory on mac included cached and swap @hiento09 (#1298)\r\n- fix: should check app dir before spawning log @louis-jan (#1297)\r\n- fix: disable process logging from server @louis-jan (#1296)\r\n- fix: user should be able to access Swagger docs from localhost:1337 @louis-jan (#1292)\r\n- Switch from Gigabyte to Gibibyte - System monitor @hiento09 (#1286)\r\n- Switch from systeminformation to os-utils to resolve Bitdefender false positive and memory leak issue @hiento09 (#1282)\r\n- fix: swagger CSP issue @louis-jan (#1284)\r\n- fix: support markdown break line @urmauur (#1274)\r\n- fix ci test run failed @hiento09 (#1267)\r\n- Fix wrong linux nitro path @hiento09 (#1266)\r\n- fix: enable command enter on dialog confirmation clean thread @urmauur (#1261)\r\n- fix: input message duplicated due with some input sources @louis-jan (#1259)\r\n- fix: mac users should not see GPU settings @louis-jan (#1255)\r\n- fix: remove redundant gpu detection prompt event @louis-jan (#1254)\r\n- fix: engine settings GUI - feature toggle @louis-jan (#1252)\r\n- Fix bug #1178 high ram on windows @hiento09 (#1241)\r\n- fix: #1183 Reveal in finder does not work on windows @namchuai (#1239)\r\n- fix: remove delay tooltip and click event @urmauur (#1217)\r\n- fix: enable enter command on dialog confirmation delete thread @urmauur (#1218)\r\n- fix: Cleared thread last message is not updated @louis-jan (#1225)\r\n- Fix switch thread crash nitro windows linux @hiento09 (#1214)\r\n- fix: darkmode broken color @urmauur (#1186)\r\n\r\n## 🧰 Maintenance\r\n\r\n- chore: typo model.json @louis-jan (#1599)\r\n- docs: add 04-how-to-get-error-logs.mdx @hieu-jan (#1580)\r\n- chore: teach how to attach logs @0xSage (#1578)\r\n- chore: issues should auto close with PRs through template @0xSage (#1577)\r\n- chore: Update issue templates @0xSage (#1568)\r\n- docs: fix x handles @0xSage (#1532)\r\n- Docs to integrate OpenRouter with Jan without UI/UX @0xgokuz (#1495)\r\n- chore: fix darkmode docs @hieu-jan (#1520)\r\n- docs: fix algolia configuration @hieu-jan (#1518)\r\n- docs: fix algolia configuration @hieu-jan (#1517)\r\n- Revert URL release in readme to version 0.4.3 @hiento09 (#1502)\r\n- refactor: add app and nitro log - resolve dependencies issue @louis-jan (#1447)\r\n- chore: enable agolia @hieu-jan (#1497)\r\n- docs: update troubleshooting and redirects old pages @hieu-jan (#1492)\r\n- docs: minor fix @hieu-jan (#1478)\r\n- docs: initial handbook structure @hieu-jan (#1477)\r\n- Bump nitro to 0.2.8 and change Jan App to support cuda >= 11.7 @hiento09 (#1476)\r\n- Chore update docs jan - add AppImage instruction to docusaurus @hiento09 (#1480)\r\n- Bump nitro to 0.2.7 @hiento09 (#1474)\r\n- chore: error message update @louis-jan (#1473)\r\n- docs: Update 02-import-manually.mdx @0xSage (#1469)\r\n- docs: Update about.md @0xSage (#1465)\r\n- Bump nitro version to 0.2.6 @hiento09 (#1458)\r\n- docs: adding customize engine settings @hieu-jan (#1455)\r\n- docs: add-missing-path @hieu-jan (#1454)\r\n- docs: resize gif @hieu-jan (#1453)\r\n- docs: revenue philosophy @0xSage (#1443)\r\n- docs: jan framework principles @0xSage (#1438)\r\n- docs: fix typo in docs @hieu-jan (#1419)\r\n- chore: clean up use os hook @namchuai (#1418)\r\n- docs: explain each docs page intent @0xSage (#1417)\r\n- docs: Update 01-server.md @0xSage (#1416)\r\n- Update warning url from github md file to jan.ai docs site @hiento09 (#1414)\r\n- docs: improve gpu not used guide @hieu-jan (#1405)\r\n- chore: update README.md @eltociear (#1406)\r\n- Update USAGE docs for linux @hiento09 (#1401)\r\n- docs: gpu not detected @0xSage (#1399)\r\n- docs: Troubleshoot Failed To Fetch @gabrielle-ong (#1398)\r\n- docs: improve docs syntax @hieu-jan (#1394)\r\n- docs: add-install-nightly-guide @hieu-jan (#1390)\r\n- docs: correct href link @hieu-jan (#1338)\r\n- docs: fix chat payload and cURL @hieu-jan (#1360)\r\n- docs: add Chatting Guide @hieu-jan (#1184)\r\n- Chore add docs usage how to switch run mode jan app @hiento09 (#1353)\r\n- docs: configure index page @hieu-jan (#1330)\r\n- docs: Update product.md @0xSage (#1326)\r\n- docs: Update 01-server.md @0xSage (#1327)\r\n- refactor: deprecate the appVersion IPC and use the predefined VERSION @louis-jan (#1309)\r\n- docs: update using models documentation @hieu-jan (#1288)\r\n- docs: update pm handbook @0xSage (#1307)\r\n- docs: contributor docs overview @0xSage (#1305)\r\n- chore: github PR template @0xSage (#1304)\r\n- Fix memory on mac included cached and swap @hiento09 (#1298)\r\n- Enrich discord message for nightly build url @hiento09 (#1294)\r\n- Refactor CI by create shared jobs output @hiento09 (#1287)\r\n- docs: update README.md @hieu-jan (#1281)\r\n- docs: Update README.md @0xSage (#1248)\r\n- feat: Jan Server, API and decoupled clients @louis-jan (#948)\r\n- docs: improve 02-import-manually @hieu-jan (#1222)\r\n- chore: Update issue templates @0xSage (#1229)\r\n- docs: Update 02-import-manually.mdx @0xSage (#1197)\r\n- add sleep 500ms if platform is windows before starting nitro process @hiento09 (#1215)\r\n- docs: improve troubleshoot documentation @hieu-jan (#1173)\r\n- docs: update bug report template @hieu-jan (#1180)\r\n- docs: add troubleshooting @hieu-jan (#1169)\r\n- chore: copy fixes @0xSage (#1167)\r\n- docs: Update 01-start-thread.md @0xSage (#1122)\r\n\r\n## Contributor\r\n\r\n@0xSage, @0xgokuz, @Diane0111, @Gri-ffin, @Ssstars, @akaMrNagar, @eltociear, @gabrielle-ong, @hahuyhoang411, @hiento09, @hieu-jan, @jan-service-account, @louis-jan, @mishrababhishek, @namchuai, @sr-albert, @urmauur and Abhishek Mishra\r\n", - 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all models are activated @louis-jan (#1120)\r\n- fix: should not hide empty message away @louis-jan (#1116)\r\n- fix: added tooltip for user cannot change model after starting thread @urmauur (#1115)\r\n- fix: remote model always active badges @urmauur (#1113)\r\n- fix: handle chat completion state with enter button @louis-jan (#1114)\r\n- fix: model active indicator only show when model activated @urmauur (#1110)\r\n- fix: #1096 yield error message upon thread switching @louis-jan (#1109)\r\n- fix: toaster success deleted thread showing id instead of active model @urmauur (#1111)\r\n- fix: update copy setting page @urmauur (#1105)\r\n- fix: search recommended model @urmauur (#1106)\r\n- fix: #1097 streaming response is replaced by error message @louis-jan (#1099)\r\n- Fix auto update windows Bug @hiento09 (#1102)\r\n- fix: added dialog confirmation when delete thread @urmauur (#1093)\r\n- fix: system monitor broken layout when responsive @urmauur (#1085)\r\n- bug: chatbox doesn't resize back down @urmauur (#1084)\r\n- fix: thread is broken after deleted first generated message @louis-jan (#1061)\r\n\r\n## 🧰 Maintenance\r\n\r\n- feat: Add codeQL analysis for push main and pr main @hiro-v (#1128)\r\n- docs: refactor dev docs, guides and specs @0xSage (#1092)\r\n- Correct jq command cause ci nightly build run failed @hiento09 (#1104)\r\n- Fix nightly build autoupdater @hiento09 (#1073)\r\n- Feature autoupdater for nightly build @hiento09 (#1068)\r\n- docs: Update product.md @0xSage (#1066)\r\n- Posthog disable click event and increase timeout for nitro load model… @hiento09 (#1060)\r\n- docs: improve quickstart docs @0xSage (#1047)\r\n\r\n## Contributor\r\n\r\n@0xSage, @hahuyhoang411, @hiento09, @hieu-jan, @hiro-v, @jan-service-account, @louis-jan, @namchuai and @urmauur\r\n", - 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Fix onboarding state and model sorting @louis-jan (#1009)\r\n- fix: limit analytics events capture @louis-jan (#1012)\r\n- fix: wrong selected model right panel @urmauur (#1001)\r\n- fix: review finder and view as json @louis-jan (#1000)\r\n- fix: enable download app linux @urmauur (#993)\r\n\r\n## 🧰 Maintenance\r\n\r\n- chore: remigrate if there is no models dir @louis-jan (#1038)\r\n- bump nitro version to 0.1.30 @hiento09 (#1036)\r\n- chore: in app copy fixes @0xSage (#1032)\r\n- Separate posthog project for jan app and docs @hiento09 (#1029)\r\n- Update posthog capture url list @hiento09 (#1022)\r\n- docs: second half of \"import model docs\" PR @0xSage (#1021)\r\n- docs: how to import models @0xSage (#1020)\r\n- fix bug #1013, enable posthog for release app version only @hiento09 (#1019)\r\n\r\n## Contributor\r\n\r\n@0xSage, @hahuyhoang411, @hiento09, @jan-service-account, @louis-jan and @urmauur\r\n", - "mentions_count": 6 - }, - { - "url": "https://api.github.com/repos/janhq/jan/releases/133838092", - 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control buttons close,max,min hidden @linhtran174 (#949)\r\n- bug: fix ui landing page @urmauur (#937)\r\n- fix: model parameters for inference extensions @vuonghoainam (#935)\r\n- [bug] Fix floating border outside card right panel @urmauur (#934)\r\n- fix: import\\_typescript.default.isTokenKind is not a function @louis-jan (#923)\r\n- bug: fix syntax formatting @urmauur (#899)\r\n- bug: update metadata title and desc @urmauur (#884)\r\n- fix: download button text color is blending into the background @louis-jan (#883)\r\n\r\n## 🧰 Maintenance\r\n\r\n- chore: add desktop app analytics @louis-jan (#978)\r\n- refactor: clean types and interfaces @0xSage (#966)\r\n- docs: scaffold dev docs @0xSage (#856)\r\n- chore: Bump nitro to 0.1.26 @vuonghoainam (#960)\r\n- Update update-release-url.yml @hiento09 (#951)\r\n- Fix update release url pipeline run failed @hiento09 (#947)\r\n- chore: Bumpt nitro bin version to version 0.1.23 @vuonghoainam (#942)\r\n- Fix update release url pipeline @hiento09 (#941)\r\n- CI automatically update Update README with Nightly Build Information and stable download URL @hiento09 (#940)\r\n- refactor: deprecate invokers - 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reorder copy models action @louis-jan (#819)\r\n- fix: messages sync is not threadsafe @louis-jan (#784)\r\n- Fix Makefile Indentation Issue @hiento09 (#788)\r\n\r\n## 🧰 Maintenance\r\n\r\n- chore: update model ranking @louis-jan (#874)\r\n- Bump nitro version to 0.1.21 - nitro has windows codesign @hiento09 (#843)\r\n- Hotfix jan windows download nitro failed @hiento09 (#838)\r\n- 810 docs add modeljson and revamp models specs page @tikikun (#816)\r\n- Add document for nightly build and update message for manual build @hiento09 (#831)\r\n- chore: Bump nitro to 0.1.20 @vuonghoainam (#830)\r\n- Refactor build:extension command @hiento09 (#822)\r\n- feat: pre-populate Jan's /models folder @namchuai (#796)\r\n- chore: fix pr auto labeling @0xSage (#812)\r\n- chore: add gi automations @0xSage (#809)\r\n- refactor: jan extensions @louis-jan (#799)\r\n- Remove .zip in artifact name @hiento09 (#800)\r\n- docs/update-api-reference @hieu-jan (#739)\r\n- Add nightly build ci @hiento09 (#794)\r\n- Fix Makefile Indentation Issue @hiento09 (#788)\r\n- Switch from .zip to .tar.gz for nitro url inference plugin @hiento09 (#781)\r\n\r\n## Contributor\r\n\r\n@0xSage, @hahuyhoang411, @hiento09, @hieu-jan, @linhtran174, @louis-jan, @namchuai, @tikikun, @urmauur and @vuonghoainam\r\n", - 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allow user to cancel a model download @louis-jan (#530)\r\n- fix: #479 - Toggle plugin is now experimental feature @louis-jan (#531)\r\n- chore: disable app update on test @louis-jan (#521)\r\n- bug: chat UI is not consistent @urmauur (#520)\r\n- refactor: plugin manager and execution as ts @louis-jan (#504)\r\n- fix: app toolbar is gone on windows @louis-jan (#503)\r\n- Chore: refactor code, hide plugin menu in web @ghost (#502)\r\n- fix: dest.end is not a function @louis-jan (#501)\r\n- #255: Jan cloud native @ghost (#320)\r\n- bug: download new version should show in status bar @urmauur (#500)\r\n- feat: add New Conversation button on the conversation sidebar @urmauur (#499)\r\n- chore: update plugin readme @louis-jan (#497)\r\n- chore: update plugins license @louis-jan (#496)\r\n- #255: Read plugins manifest from CDN @ghost (#495)\r\n- chore: update plugin sdk - add appDataPath @louis-jan (#492)\r\n- chore: enable back bot function for edge-release @louis-jan (#474)\r\n- chore: attempt to kill Nitro subprocesses @louis-jan (#484)\r\n- docs: new dev hub @0xSage (#450)\r\n\r\n## 🚀 Features\r\n\r\n- feat: Experimental Feature Toggle @louis-jan (#525)\r\n\r\n## 🐛 Bug Fixes\r\n\r\n- Add rebuild leveldown for arm on mac intel @hiento09 (#487)\r\n\r\n## 🧰 Maintenance\r\n\r\n- Bump nitro version from 0.1.4 to 0.1.6 @hiento09 (#581)\r\n- Add set yarn network timeout for uikit @hiento09 (#579)\r\n- Fix error CI e2e run failed on windows @hiento09 (#578)\r\n- Fix build plugins macos codesiging error @hiento09 (#576)\r\n- Add install nitro mac intel inference plugin build locally @hiento09 (#542)\r\n- Bump nitro version to 0.1.4 @hiento09 (#532)\r\n- Chore/update yarn dev script @hiento09 (#529)\r\n- Inference Plugin pull nitro binary from release @hiento09 (#524)\r\n- Correct version and license @hiento09 (#498)\r\n\r\n## Contributor\r\n\r\n@0xSage, @Vikram-2004, @dan-jan, @hahuyhoang411, @hiento09, @imtuyethan, @jan-service-account, @louis-jan, @namchuai, @tikikun, @urmauur, Han, James, John and nam-john-ho\r\n", - 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Jan Plugin Catalog @louis-jan (#408)\r\n- adr: 006 - Jan Core Module @louis-jan (#404)\r\n- feat: Support for nitro release 0.1.2 @vuonghoainam (#409)\r\n- feat: explore plugins from the npm repository and install them remotely @louis-jan (#399)\r\n- feat: fix event description @dan-jan (#400)\r\n- fix: high cpu usage @louis-jan (#401)\r\n- docs: model installation ADR @0xSage (#390)\r\n- chore: update core events module @louis-jan (#394)\r\n- feat: Update Social OG Image and Meta Description @dan-jan (#387)\r\n- misc: UI home @urmauur (#392)\r\n- Update hcmc-oct23.md @0xSage (#389)\r\n- chore: remove deprecated extension functions @louis-jan (#388)\r\n- Fix bugs image overlap dropdown button download @urmauur (#384)\r\n- chore: resolve fetch models api limit rate @louis-jan (#383)\r\n- chore: update convo summary @louis-jan (#378)\r\n- Update interface landing page @urmauur (#381)\r\n- Add simple copywriting changes @dan-jan (#382)\r\n- chore: update core services and module export @louis-jan (#376)\r\n- chore: #371 - reference to plugin name and module path as variables @louis-jan (#372)\r\n- feat: Edit event details, hide all unnecessary website sections @dan-jan (#369)\r\n- docs: UI Service ADR @0xSage (#318)\r\n- Feat/issue 255 adr 001 jand cloud native @nam-john-ho (#262)\r\n- Move plugins folder from electron to root folder @hiento09 (#366)\r\n- feature: core plugin support events \\& preferences modules @louis-jan (#365)\r\n- Fix/250 @namchuai (#349)\r\n- Change License and update README @dan-jan (#356)\r\n- Jan 339 @dan-jan (#348)\r\n- feat: Jan 339 @dan-jan (#347)\r\n- Add social og:image @dan-jan (#346)\r\n- feat(ard): Add adr 002 @vuonghoainam (#261)\r\n\r\n## 🚀 Features\r\n\r\n- #357 plugin \\& app can subscribe and emit events @louis-jan (#358)\r\n- feature: @janhq/plugin-core module \\& usage @louis-jan (#321)\r\n\r\n## 🐛 Bug Fixes\r\n\r\n- Change to load nitron on windows and linux from bash/shell script @hiento09 (#451)\r\n- Fix data-plugin install failed on mac silicon from npm @hiento09 (#413)\r\n- Correct version of plugins @hiento09 (#374)\r\n\r\n## 🧰 Maintenance\r\n\r\n- upgrade leveldown to newest version @hiento09 (#447)\r\n- Update auto-sign plugin by search file permission 664 @hiento09 (#445)\r\n- Change codesign plugin folder in ci @hiento09 (#440)\r\n- Add continue on error for import cert @hiento09 (#436)\r\n- Update code siging for new data plugin @hiento09 (#433)\r\n- Add readme inference plugin @hiento09 (#426)\r\n- Add username to remote origin @hiento09 (#425)\r\n- Add auto create PR to plugin-catalog when a new version of plugin is … @hiento09 (#416)\r\n- Fix data-plugin install failed on mac silicon from npm @hiento09 (#413)\r\n- Chore/remove package lock @hiento09 (#398)\r\n- Refactor cicd @hiento09 (#397)\r\n- Correct version of plugins @hiento09 (#374)\r\n- Rename plugin-core to core @hiento09 (#370)\r\n- Fix error check change in plugins folder @hiento09 (#367)\r\n- chore: jan.ai nits @0xSage (#354)\r\n\r\n## Contributor\r\n\r\n@0xSage, @dan-jan, @hiento09, @jan-service-account, @louis-jan, @nam-john-ho, @namchuai, @tikikun, @urmauur, @vuonghoainam and Hien To\r\n", - 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"zipball_url": "https://api.github.com/repos/janhq/jan/zipball/v0.2.0", - "body": "## Changes\r\n\r\n- feat: Add Jan Hacker House event page to Docs @dan-jan (#342)\r\n- feat: Hide incomplete Hardware section from Docs site @dan-jan (#341)\r\n- style: better chatbox ui @0xSage (#338)\r\n- feat: allowing user to fetch models from github @namchuai (#319)\r\n- fixes: #247 - inference plugin should check nitro service available @louis-jan (#313)\r\n- Fix icon error for linux app @hiento09 (#316)\r\n- docs: initial hardware content @Its-Alamin-H (#240)\r\n- fixes #277 - bug: memory utilization always at 99% @louis-jan (#309)\r\n- Docusaurus parser string from githubapi to get latest release @hiento09 (#312)\r\n- Footer background, CTA \\& Highlight colors @drakehere (#288)\r\n- Fix CI Test run failed on ubuntu and change release file app name @hiento09 (#307)\r\n- Add docusaurus test build pipeline @hiento09 (#302)\r\n- fix: #271 Cannot read properties of undefined (reading 'map') @louis-jan (#300)\r\n- Fix Docusaurus server side render error @hiento09 (#301)\r\n- fix #283: small ui fixes @namchuai (#299)\r\n\r\n## 🐛 Bug Fixes\r\n\r\n- Fix #290: Add description in package.json and rename to jan @hiento09 (#333)\r\n\r\n## 🧰 Maintenance\r\n\r\n- Add Documentation category to release note template @hiento09 (#332)\r\n- Chore/release note template @hiento09 (#323)\r\n- Add release note template @hiento09 (#322)\r\n\r\n## 📖 Documentaion\r\n\r\n- Add auto update app download url on jan.ai @hiento09 (#311)\r\n- docs: update per v0.1.3 @0xSage (#280)\r\n\r\n## Contributor\r\n\r\n@0xSage, @Its-Alamin-H, @dan-jan, @drakehere, @hiento09, @hientominh, @louis-jan, @namchuai, Hien To and James\r\n", - "mentions_count": 8 - } - ] -} \ No newline at end of file diff --git a/docs/docs/releases/changelog/changelog-v0.2.0.mdx b/docs/docs/releases/changelog/changelog-v0.2.0.mdx deleted file mode 100644 index 5884db762..000000000 --- a/docs/docs/releases/changelog/changelog-v0.2.0.mdx +++ /dev/null @@ -1,47 +0,0 @@ ---- -sidebar_position: 18 -slug: /changelog/changelog-v0.2.0 ---- -# v0.2.0 - -For more details, [GitHub Issues](https://github.com/janhq/jan/releases/tag/v0.2.0) - -Highlighted Issue: [Issue #342: feat: Add Jan Hacker House event page to Docs](https://github.com/janhq/jan/pull/342) - -## Changes - -- feat: Add Jan Hacker House event page to Docs @dan-jan (#342) -- feat: Hide incomplete Hardware section from Docs site @dan-jan (#341) -- style: better chatbox ui @0xSage (#338) -- feat: allowing user to fetch models from github @namchuai (#319) -- fixes: #247 - inference plugin should check nitro service available @louis-jan (#313) -- Fix icon error for linux app @hiento09 (#316) -- docs: initial hardware content @Its-Alamin-H (#240) -- fixes #277 - bug: memory utilization always at 99% @louis-jan (#309) -- Docusaurus parser string from githubapi to get latest release @hiento09 (#312) -- Footer background, CTA \& Highlight colors @drakehere (#288) -- Fix CI Test run failed on ubuntu and change release file app name @hiento09 (#307) -- Add docusaurus test build pipeline @hiento09 (#302) -- fix: #271 Cannot read properties of undefined (reading 'map') @louis-jan (#300) -- Fix Docusaurus server side render error @hiento09 (#301) -- fix #283: small ui fixes @namchuai (#299) - -## 🐛 Bug Fixes - -- Fix #290: Add description in package.json and rename to jan @hiento09 (#333) - -## 🧰 Maintenance - -- Add Documentation category to release note template @hiento09 (#332) -- Chore/release note template @hiento09 (#323) -- Add release note template @hiento09 (#322) - -## 📖 Documentaion - -- Add auto update app download url on jan.ai @hiento09 (#311) -- docs: update per v0.1.3 @0xSage (#280) - -## Contributor - -@0xSage, @Its-Alamin-H, @dan-jan, @drakehere, @hiento09, @hientominh, @louis-jan, @namchuai, Hien To and James - diff --git a/docs/docs/releases/changelog/changelog-v0.2.1.mdx b/docs/docs/releases/changelog/changelog-v0.2.1.mdx deleted file mode 100644 index 917aa43a3..000000000 --- a/docs/docs/releases/changelog/changelog-v0.2.1.mdx +++ /dev/null @@ -1,93 +0,0 @@ ---- -sidebar_position: 17 -slug: /changelog/changelog-v0.2.1 ---- -# v0.2.1 - -For more details, [GitHub Issues](https://github.com/janhq/jan/releases/tag/v0.2.1) - -Highlighted Issue: [Issue #446: fix: model is started but the indicator is not stopped loading](https://github.com/janhq/jan/pull/446) - -## Changes - -- fix: model is started but the indicator is not stopped loading @louis-jan (#446) -- fix: bring back install plugin manually function @louis-jan (#448) -- fix: duplicated messages when user switch between conversations @namchuai (#441) -- chore: added loader starting and stopping model @urmauur (#438) -- chore: Change license to AGPL @dan-jan (#442) -- fix: plugin \& model catalog import cache are not cleared properly @louis-jan (#437) -- fix error codesign @hiento09 (#439) -- fix: app version and cleanup unused code @urmauur (#434) -- chore: update core service - get plugin manifest @louis-jan (#432) -- ui: interface revamp @urmauur (#429) -- fix: scroll on explore models does not work @namchuai (#427) -- feat: adding create bot functionality @namchuai (#368) -- chore: install or update a plugin should not interrupt dev process @louis-jan (#420) -- chore: Update nitro 0.1.2 windows/ linux @vuonghoainam (#421) -- chore: update core service enums @louis-jan (#414) -- feat: chat with documents plugin @louis-jan (#417) -- misc: setup prettier @urmauur (#412) -- adr: 007 - Jan Plugin Catalog @louis-jan (#408) -- adr: 006 - Jan Core Module @louis-jan (#404) -- feat: Support for nitro release 0.1.2 @vuonghoainam (#409) -- feat: explore plugins from the npm repository and install them remotely @louis-jan (#399) -- feat: fix event description @dan-jan (#400) -- fix: high cpu usage @louis-jan (#401) -- docs: model installation ADR @0xSage (#390) -- chore: update core events module @louis-jan (#394) -- feat: Update Social OG Image and Meta Description @dan-jan (#387) -- misc: UI home @urmauur (#392) -- Update hcmc-oct23.md @0xSage (#389) -- chore: remove deprecated extension functions @louis-jan (#388) -- Fix bugs image overlap dropdown button download @urmauur (#384) -- chore: resolve fetch models api limit rate @louis-jan (#383) -- chore: update convo summary @louis-jan (#378) -- Update interface landing page @urmauur (#381) -- Add simple copywriting changes @dan-jan (#382) -- chore: update core services and module export @louis-jan (#376) -- chore: #371 - reference to plugin name and module path as variables @louis-jan (#372) -- feat: Edit event details, hide all unnecessary website sections @dan-jan (#369) -- docs: UI Service ADR @0xSage (#318) -- Feat/issue 255 adr 001 jand cloud native @nam-john-ho (#262) -- Move plugins folder from electron to root folder @hiento09 (#366) -- feature: core plugin support events \& preferences modules @louis-jan (#365) -- Fix/250 @namchuai (#349) -- Change License and update README @dan-jan (#356) -- Jan 339 @dan-jan (#348) -- feat: Jan 339 @dan-jan (#347) -- Add social og:image @dan-jan (#346) -- feat(ard): Add adr 002 @vuonghoainam (#261) - -## 🚀 Features - -- #357 plugin \& app can subscribe and emit events @louis-jan (#358) -- feature: @janhq/plugin-core module \& usage @louis-jan (#321) - -## 🐛 Bug Fixes - -- Change to load nitron on windows and linux from bash/shell script @hiento09 (#451) -- Fix data-plugin install failed on mac silicon from npm @hiento09 (#413) -- Correct version of plugins @hiento09 (#374) - -## 🧰 Maintenance - -- upgrade leveldown to newest version @hiento09 (#447) -- Update auto-sign plugin by search file permission 664 @hiento09 (#445) -- Change codesign plugin folder in ci @hiento09 (#440) -- Add continue on error for import cert @hiento09 (#436) -- Update code siging for new data plugin @hiento09 (#433) -- Add readme inference plugin @hiento09 (#426) -- Add username to remote origin @hiento09 (#425) -- Add auto create PR to plugin-catalog when a new version of plugin is … @hiento09 (#416) -- Fix data-plugin install failed on mac silicon from npm @hiento09 (#413) -- Chore/remove package lock @hiento09 (#398) -- Refactor cicd @hiento09 (#397) -- Correct version of plugins @hiento09 (#374) -- Rename plugin-core to core @hiento09 (#370) -- Fix error check change in plugins folder @hiento09 (#367) -- chore: jan.ai nits @0xSage (#354) - -## Contributor - -@0xSage, @dan-jan, @hiento09, @jan-service-account, @louis-jan, @nam-john-ho, @namchuai, @tikikun, @urmauur, @vuonghoainam and Hien To - diff --git a/docs/docs/releases/changelog/changelog-v0.2.2.mdx b/docs/docs/releases/changelog/changelog-v0.2.2.mdx deleted file mode 100644 index 0beb0013b..000000000 --- a/docs/docs/releases/changelog/changelog-v0.2.2.mdx +++ /dev/null @@ -1,43 +0,0 @@ ---- -sidebar_position: 16 -slug: /changelog/changelog-v0.2.2 ---- -# v0.2.2 - -For more details, [GitHub Issues](https://github.com/janhq/jan/releases/tag/v0.2.2) - -Highlighted Issue: [Issue #469: chore: plugin and app version dependency](https://github.com/janhq/jan/pull/469) - -## Changes - -- chore: plugin and app version dependency @louis-jan (#469) -- bug: showing a modal when user start conf but model not active @urmauur (#466) -- fix: duplicated modal and loading state @louis-jan (#465) -- bug: fix overflow scroll horizontal message @urmauur (#464) -- bug: avoid chat body scroll horizontal @urmauur (#462) -- bug: fix logic plugin update plugin and show installed version @urmauur (#459) -- bug: chat view drops enumeration @urmauur (#456) -- fix: allow switching models when switch between conversations @namchuai (#458) -- fix: CI run fails on windows @louis-jan (#463) -- fix: failed to build electron app @louis-jan (#461) -- fix: correct app version display @louis-jan (#452) -- fix: enable link color blue on docusaurus markdown @urmauur (#449) - -## 🚀 Features - -- feat: Add ADR-008 for extensible Jan @vuonghoainam (#431) - -## 🐛 Bug Fixes - -- data-plugin force leveldown to 6.1.1 @hiento09 (#453) - -## 🧰 Maintenance - -- Use electron-rebuild to build leveldown@5.6.0 for darwin arm64 @hiento09 (#455) -- data-plugin force leveldown back to 5.6.0 and rebuild for darwin arm64 @hiento09 (#454) -- data-plugin force leveldown to 6.1.1 @hiento09 (#453) - -## Contributor - -@hiento09, @jan-service-account, @louis-jan, @namchuai, @urmauur and @vuonghoainam - diff --git a/docs/docs/releases/changelog/changelog-v0.2.3.mdx b/docs/docs/releases/changelog/changelog-v0.2.3.mdx deleted file mode 100644 index ba4c8fafd..000000000 --- a/docs/docs/releases/changelog/changelog-v0.2.3.mdx +++ /dev/null @@ -1,30 +0,0 @@ ---- -sidebar_position: 15 -slug: /changelog/changelog-v0.2.3 ---- -# v0.2.3 - -For more details, [GitHub Issues](https://github.com/janhq/jan/releases/tag/v0.2.3) - -Highlighted Issue: [Issue #482: fix: hide preferences section if empty](https://github.com/janhq/jan/pull/482) - -## Changes - -- fix: hide preferences section if empty @louis-jan (#482) -- chore: fix conversation summary @louis-jan (#480) -- chore: missing create conversation button when there is no conversation is selected @louis-jan (#478) -- fix: download now change state immediately @namchuai (#475) -- chore: add required app version to edge release plugin @louis-jan (#471) - -## 🐛 Bug Fixes - -- add rebuild for mac x64 @hiento09 (#473) - -## 🧰 Maintenance - -- Add build deps for data-plugin in CI @hiento09 (#472) - -## Contributor - -@hiento09, @hientominh, @jan-service-account, @louis-jan and @namchuai - diff --git a/docs/docs/releases/changelog/changelog-v0.3.0.mdx b/docs/docs/releases/changelog/changelog-v0.3.0.mdx deleted file mode 100644 index 1e91edc8b..000000000 --- a/docs/docs/releases/changelog/changelog-v0.3.0.mdx +++ /dev/null @@ -1,30 +0,0 @@ ---- -sidebar_position: 14 -slug: /changelog/changelog-v0.3.0 ---- -# v0.3.0 - -For more details, [GitHub Issues](https://github.com/janhq/jan/releases/tag/v0.3.0) - -Highlighted Issue: [Issue #482: fix: hide preferences section if empty](https://github.com/janhq/jan/pull/482) - -## Changes - -- fix: hide preferences section if empty @louis-jan (#482) -- chore: fix conversation summary @louis-jan (#480) -- chore: missing create conversation button when there is no conversation is selected @louis-jan (#478) -- fix: download now change state immediately @namchuai (#475) -- chore: add required app version to edge release plugin @louis-jan (#471) - -## 🐛 Bug Fixes - -- add rebuild for mac x64 @hiento09 (#473) - -## 🧰 Maintenance - -- Add build deps for data-plugin in CI @hiento09 (#472) - -## Contributor - -@hiento09, @hientominh, @jan-service-account, @louis-jan and @namchuai - diff --git a/docs/docs/releases/changelog/changelog-v0.3.1.mdx b/docs/docs/releases/changelog/changelog-v0.3.1.mdx deleted file mode 100644 index dedbae8e1..000000000 --- a/docs/docs/releases/changelog/changelog-v0.3.1.mdx +++ /dev/null @@ -1,78 +0,0 @@ ---- -sidebar_position: 13 -slug: /changelog/changelog-v0.3.1 ---- -# v0.3.1 - -For more details, [GitHub Issues](https://github.com/janhq/jan/releases/tag/v0.3.1) - -Highlighted Issue: [Issue #580: fix: preformatted text indents the first line strangely](https://github.com/janhq/jan/pull/580) - -## Changes - -- fix: preformatted text indents the first line strangely @louis-jan (#580) -- fix: failed to package app since core and uikit are not being built @louis-jan (#575) -- cleanup: remove component folder and cleanup conversation screen @urmauur (#574) -- bug: update convo state when user change model @urmauur (#571) -- fix(#566): jan cannot retrieve the conversations @namchuai (#570) -- bug: Toast messages shows [object object] @urmauur (#569) -- ui: improve state of welcome screen @urmauur (#563) -- chore: fixed an issue where app does not yield message result @louis-jan (#561) -- Update readme @urmauur (#560) -- ui: standalone UIKit and refactor @urmauur (#557) -- Small description changes @dan-jan (#558) -- add 'change download button based on OS' feature @Vikram-2004 (#551) -- feat: revamp plugin architecture @louis-jan (#535) -- Fix mobile padding @imtuyethan (#550) -- chore: Update Readme @dan-jan (#549) -- Update Homepage and README with 1-line pitch @dan-jan (#548) -- docs: Add About, Events, Blog @dan-jan (#546) -- Ashley/update website content @imtuyethan (#545) -- Add guides @hahuyhoang411 (#488) -- Structure Docs @dan-jan (#536) -- Update README.md @imtuyethan (#533) -- Chore: Setup "Jan Improvements Proposal" workflow @dan-jan (#534) -- Update website tag line @imtuyethan (#527) -- fix: #396 - allow user to cancel a model download @louis-jan (#530) -- fix: #479 - Toggle plugin is now experimental feature @louis-jan (#531) -- chore: disable app update on test @louis-jan (#521) -- bug: chat UI is not consistent @urmauur (#520) -- refactor: plugin manager and execution as ts @louis-jan (#504) -- fix: app toolbar is gone on windows @louis-jan (#503) -- Chore: refactor code, hide plugin menu in web @ghost (#502) -- fix: dest.end is not a function @louis-jan (#501) -- #255: Jan cloud native @ghost (#320) -- bug: download new version should show in status bar @urmauur (#500) -- feat: add New Conversation button on the conversation sidebar @urmauur (#499) -- chore: update plugin readme @louis-jan (#497) -- chore: update plugins license @louis-jan (#496) -- #255: Read plugins manifest from CDN @ghost (#495) -- chore: update plugin sdk - add appDataPath @louis-jan (#492) -- chore: enable back bot function for edge-release @louis-jan (#474) -- chore: attempt to kill Nitro subprocesses @louis-jan (#484) -- docs: new dev hub @0xSage (#450) - -## 🚀 Features - -- feat: Experimental Feature Toggle @louis-jan (#525) - -## 🐛 Bug Fixes - -- Add rebuild leveldown for arm on mac intel @hiento09 (#487) - -## 🧰 Maintenance - -- Bump nitro version from 0.1.4 to 0.1.6 @hiento09 (#581) -- Add set yarn network timeout for uikit @hiento09 (#579) -- Fix error CI e2e run failed on windows @hiento09 (#578) -- Fix build plugins macos codesiging error @hiento09 (#576) -- Add install nitro mac intel inference plugin build locally @hiento09 (#542) -- Bump nitro version to 0.1.4 @hiento09 (#532) -- Chore/update yarn dev script @hiento09 (#529) -- Inference Plugin pull nitro binary from release @hiento09 (#524) -- Correct version and license @hiento09 (#498) - -## Contributor - -@0xSage, @Vikram-2004, @dan-jan, @hahuyhoang411, @hiento09, @imtuyethan, @jan-service-account, @louis-jan, @namchuai, @tikikun, @urmauur, Han, James, John and nam-john-ho - diff --git a/docs/docs/releases/changelog/changelog-v0.3.2.mdx b/docs/docs/releases/changelog/changelog-v0.3.2.mdx deleted file mode 100644 index 556085a6a..000000000 --- a/docs/docs/releases/changelog/changelog-v0.3.2.mdx +++ /dev/null @@ -1,46 +0,0 @@ ---- -sidebar_position: 12 -slug: /changelog/changelog-v0.3.2 ---- -# v0.3.2 - -For more details, [GitHub Issues](https://github.com/janhq/jan/releases/tag/v0.3.2) - -Highlighted Issue: [Issue #612: fix: disabled required env](https://github.com/janhq/jan/pull/612) - -## Changes - -- fix: disabled required env @urmauur (#612) -- Install Posthog snippet @imtuyethan (#573) -- web: google tag manager @urmauur (#562) -- docs: fix syntax highlighting @0xSage (#602) -- chore: remove past event @0xSage (#600) -- docs: new docs @0xSage (#599) -- [chore]: Update docs @dan-jan (#597) - -## 🚀 Features - -- refactor: main electron with managers and handlers @louis-jan (#610) - -## 🐛 Bug Fixes - -- Fix: Failed to load model - unload model nitro @louis-jan (#616) -- Restore cpx nitro step in yarn script @hiento09 (#617) -- fix(#591): prevent duplicate message id issue @namchuai (#595) -- bug: cancelling a model download should be delete the model file on user data @urmauur (#613) -- bug: fix weird padding vertical snippet code @urmauur (#608) -- bug: Fix button download detect intel or apple silicon @urmauur (#609) -- bug: enable delete conversation after deleted model @urmauur (#594) -- bug: download modal should truncate model name @urmauur (#592) -- bug: support multiple line input chat using Textarea instead @urmauur (#593) - -## 🧰 Maintenance - -- refactor: main electron with managers and handlers @louis-jan (#610) -- Chore/refactor yarn script @hiento09 (#615) -- fix: line height and update typography component @urmauur (#611) - -## Contributor - -@0xSage, @dan-jan, @hiento09, @imtuyethan, @jan-service-account, @louis-jan, @namchuai and @urmauur - diff --git a/docs/docs/releases/changelog/changelog-v0.3.3.mdx b/docs/docs/releases/changelog/changelog-v0.3.3.mdx deleted file mode 100644 index 13fbeae01..000000000 --- a/docs/docs/releases/changelog/changelog-v0.3.3.mdx +++ /dev/null @@ -1,101 +0,0 @@ ---- -sidebar_position: 11 -slug: /changelog/changelog-v0.3.3 ---- -# v0.3.3 - -For more details, [GitHub Issues](https://github.com/janhq/jan/releases/tag/v0.3.3) - -Highlighted Issue: [Issue #719: docs: cleanup](https://github.com/janhq/jan/pull/719) - -## Changes - -- docs: cleanup @0xSage (#719) -- docs: threads and messages @0xSage (#681) -- Updating Onboarding Kit @Diane0111 (#675) -- Update issue templates @0xSage (#685) -- docs: polish models spec @0xSage (#680) -- Feature: Preview URL for each PR and add pre-release.jan.ai as staging of Jan Docs @hiento09 (#669) -- Migrate Model definitions to Swagger/OpenAPI @dan-jan (#659) -- [docs] Add Introduction and refactor Models Spec @dan-jan (#657) -- docs: Add model methods to swagger @0xSage (#660) -- Models Spec: Delete broken Markdown links @dan-jan (#648) -- docs: assistants and threads specs @0xSage (#646) - -## 🚀 Features - -- improvement: styling message action toolbar @urmauur (#737) -- experimental: allow user to give instruction for the conversation @louis-jan (#714) -- docs/enable-seo-docusaurus @hieu-jan (#725) -- Add windows code sign to CI @hiento09 (#712) -- docs: update installation guide @hieu-jan (#664) -- chore: Update based on team discussion on Nov 20 @vuonghoainam (#673) -- docs: add OpenAI swagger file @hieu-jan (#623) -- Update landing page Jan @urmauur (#638) - -## 🐛 Bug Fixes - -- chore: open app data should lead user to jan root @louis-jan (#749) -- fix: cancel download does not work @louis-jan (#746) -- fix: error when switching between threads @louis-jan (#736) -- chore: app raises error when attempting to start a model that is already starting @louis-jan (#721) -- bug: fix filter list menu from command base on search type and make a symbol base on OS @urmauur (#723) -- bug: fix clickable small download button on chat screen @urmauur (#722) -- fix: incorrect update progress bar visibility check @louis-jan (#713) -- fix: app shows wrong performance tag, all say not enough ram on windows @louis-jan (#699) -- bug: fix padding quotations and numbering list @urmauur (#695) -- fix: local npm module update does not reflect web app @louis-jan (#677) -- [bug] fix markdown todo items shifted to the left and remove the dots @urmauur (#694) -- bug: fix footer and section spacing landing page @urmauur (#683) -- bug: fix anchor link sidebar openapi @urmauur (#668) -- refactor: remove unused hooks and resolve no-explicit-any @louis-jan (#647) -- bug: fix titles should have spaces in between @urmauur (#652) -- bug: fix compatibility content not fully display @urmauur (#653) - -## 🧰 Maintenance - -- chore: fix app grammar @0xSage (#750) -- chore: bumb nitro version @louis-jan (#740) -- chore: fs module should not cover app logic @louis-jan (#720) -- API Reference for Models, Messages, Threads @hahuyhoang411 (#679) -- docs: upgrade mdx-js package @hieu-jan (#705) -- [docs] Update Docusaurus to 3.0 and fix closing tag issue in Handbook @dan-jan (#704) -- Fix error docs pipeline run failed @hiento09 (#702) -- Revert docs CICD trigger on push to main instead of tag-based @hiento09 (#698) -- fix: local npm module update does not reflect web app @louis-jan (#677) -- Chore: refactor to makefile @hiento09 (#691) -- Add Instruction to publish docs @hiento09 (#687) -- chore/add-mermaid @hieu-jan (#672) -- chore/update package docs @hieu-jan (#670) -- Enhance Cross-Platform Argument Handling for Nitro Startup Scripts @hiento09 (#674) -- refactor: remove unused hooks and resolve no-explicit-any @louis-jan (#647) -- docs: add OpenAI swagger file @hieu-jan (#623) -- Preliminary Restructure of Docs @dan-jan (#655) -- Model specs @vuonghoainam (#641) -- refactor: refactor app entities @louis-jan (#626) -- refactor: move file to jan root @namchuai (#598) -- Add run-script-os @linhtran174 (#620) -- Refactor Jan Documentation @dan-jan (#625) - -## 📖 Documentaion - -- docs: update specs/product @0xSage (#744) -- docs/enable-seo-docusaurus @hieu-jan (#725) -- docs: assistant spec @vuonghoainam (#707) -- docs: Refactor Jan Site Structure @dan-jan (#706) -- docs/improve install docs @hieu-jan (#708) -- API Reference for Models, Messages, Threads @hahuyhoang411 (#679) -- [docs] Update Docusaurus to 3.0 and fix closing tag issue in Handbook @dan-jan (#704) -- docs: update installation guide @hieu-jan (#664) -- chore: Update based on team discussion on Nov 20 @vuonghoainam (#673) -- docs: add OpenAI swagger file @hieu-jan (#623) -- Preliminary Restructure of Docs @dan-jan (#655) -- Fix: specs revision @vuonghoainam (#649) -- Model specs @vuonghoainam (#641) -- Update README.md @imtuyethan (#629) -- Refactor Jan Documentation @dan-jan (#625) - -## Contributor - -@0xSage, @Diane0111, @dan-jan, @hahuyhoang411, @hiento09, @hieu-jan, @imtuyethan, @linhtran174, @louis-jan, @namchuai, @urmauur, @vuonghoainam and Le Tra Mi - diff --git a/docs/docs/releases/changelog/changelog-v0.4.0.mdx b/docs/docs/releases/changelog/changelog-v0.4.0.mdx deleted file mode 100644 index e8838e191..000000000 --- a/docs/docs/releases/changelog/changelog-v0.4.0.mdx +++ /dev/null @@ -1,75 +0,0 @@ ---- -sidebar_position: 10 -slug: /changelog/changelog-v0.4.0 ---- -# v0.4.0 - -For more details, [GitHub Issues](https://github.com/janhq/jan/releases/tag/v0.4.0) - -Highlighted Issue: [Issue #878: bug: fix tag description showing a title and fix card right panel](https://github.com/janhq/jan/pull/878) - -## Changes - -- bug: fix tag description showing a title and fix card right panel @urmauur (#878) -- fix/no-assistant-available-fresh-install @louis-jan (#876) -- Model.json update @hahuyhoang411 (#870) -- Hotfix desc for openhermes @hahuyhoang411 (#864) -- Openhermes update v1 @hahuyhoang411 (#863) -- update deepseek 1.3b @hahuyhoang411 (#858) -- Update tags @hahuyhoang411 (#857) -- Update model hub @hahuyhoang411 (#829) -- hotfix: fix typo @tikikun (#836) -- chore: pre-populate Jan's /models folder with model.jsons @hahuyhoang411 (#775) -- chore: clarification changes to the model settings and model parameters @tikikun (#742) - -## 🚀 Features - -- feat: revamp landing page @urmauur (#745) -- feat : add cover image model hub screen @urmauur (#872) -- feat: boilerplate for express server localhost 1337 @linhtran174 (#803) -- enhancement: revamp hub screen @urmauur (#825) -- feat: revamp thread screen @urmauur (#802) -- docs/update-api-reference @hieu-jan (#739) -- refactor: model plugin to follow new specs @namchuai (#682) - -## 🐛 Fixes - -- fix: Nitro interface update to prevent warning @vuonghoainam (#877) -- fix: delete message break the entire thread @louis-jan (#869) -- fix: can not download multiple models at once @louis-jan (#867) -- fix: production CI workflow does not populate models @louis-jan (#862) -- fix: update wrong main view state when use a model @namchuai (#861) -- fix: handle crash issue on hljs highlighting @louis-jan (#859) -- fix: empty assistant instruction by default @louis-jan (#855) -- bug: fix broken banner position hub screen @urmauur (#846) -- fix: not update active model when using resend button @namchuai (#834) -- Hotfix jan windows download nitro failed @hiento09 (#838) -- Switch to download nitro .tar.gz file instead of .zip file on windows @hiento09 (#832) -- fix/docusaurus-seo @hieu-jan (#818) -- fix: CI script - reorder copy models action @louis-jan (#819) -- fix: messages sync is not threadsafe @louis-jan (#784) -- Fix Makefile Indentation Issue @hiento09 (#788) - -## 🧰 Maintenance - -- chore: update model ranking @louis-jan (#874) -- Bump nitro version to 0.1.21 - nitro has windows codesign @hiento09 (#843) -- Hotfix jan windows download nitro failed @hiento09 (#838) -- 810 docs add modeljson and revamp models specs page @tikikun (#816) -- Add document for nightly build and update message for manual build @hiento09 (#831) -- chore: Bump nitro to 0.1.20 @vuonghoainam (#830) -- Refactor build:extension command @hiento09 (#822) -- feat: pre-populate Jan's /models folder @namchuai (#796) -- chore: fix pr auto labeling @0xSage (#812) -- chore: add gi automations @0xSage (#809) -- refactor: jan extensions @louis-jan (#799) -- Remove .zip in artifact name @hiento09 (#800) -- docs/update-api-reference @hieu-jan (#739) -- Add nightly build ci @hiento09 (#794) -- Fix Makefile Indentation Issue @hiento09 (#788) -- Switch from .zip to .tar.gz for nitro url inference plugin @hiento09 (#781) - -## Contributor - -@0xSage, @hahuyhoang411, @hiento09, @hieu-jan, @linhtran174, @louis-jan, @namchuai, @tikikun, @urmauur and @vuonghoainam - diff --git a/docs/docs/releases/changelog/changelog-v0.4.1.mdx b/docs/docs/releases/changelog/changelog-v0.4.1.mdx deleted file mode 100644 index 37d35a63d..000000000 --- a/docs/docs/releases/changelog/changelog-v0.4.1.mdx +++ /dev/null @@ -1,62 +0,0 @@ ---- -sidebar_position: 9 -slug: /changelog/changelog-v0.4.1 ---- -# v0.4.1 - -For more details, [GitHub Issues](https://github.com/janhq/jan/releases/tag/v0.4.1) - -Highlighted Issue: [Issue #903: Update README.md](https://github.com/janhq/jan/pull/903) - -## Changes - -- Update README.md @imtuyethan (#903) - -## 🚀 Features - -- feat: Kill nitro process with API - nitro 0.1.27 @vuonghoainam (#975) -- feat: Inference Nitro with Prompt Template @hahuyhoang411 (#952) -- feat: Add NVIDIA triton trt-llm extension @vuonghoainam (#888) -- feat: Hotfit for Nitro loading on CPU with hyper-threading support @vuonghoainam (#931) -- feat: adding model params @namchuai (#886) -- feat: Multiple inference engines for nitro and openai @vuonghoainam (#814) -- docs: add json schema for engine and model parameters @tikikun (#840) -- feat: improve SEO keywords @hieu-jan (#894) -- enhancement: fix spacing landing page responsive @urmauur (#891) -- bug: added label coming soon for windows and linux @urmauur (#881) - -## 🐛 Fixes - -- fix: 963 can not run openai models on windows @louis-jan (#974) -- fix: Inference engine Nitro with Windows with/ without CUDA @vuonghoainam (#950) -- Fix error Jan app linux crash @hiento09 (#958) -- fix: windows bug - control buttons close,max,min hidden @linhtran174 (#949) -- bug: fix ui landing page @urmauur (#937) -- fix: model parameters for inference extensions @vuonghoainam (#935) -- [bug] Fix floating border outside card right panel @urmauur (#934) -- fix: import\_typescript.default.isTokenKind is not a function @louis-jan (#923) -- bug: fix syntax formatting @urmauur (#899) -- bug: update metadata title and desc @urmauur (#884) -- fix: download button text color is blending into the background @louis-jan (#883) - -## 🧰 Maintenance - -- chore: add desktop app analytics @louis-jan (#978) -- refactor: clean types and interfaces @0xSage (#966) -- docs: scaffold dev docs @0xSage (#856) -- chore: Bump nitro to 0.1.26 @vuonghoainam (#960) -- Update update-release-url.yml @hiento09 (#951) -- Fix update release url pipeline run failed @hiento09 (#947) -- chore: Bumpt nitro bin version to version 0.1.23 @vuonghoainam (#942) -- Fix update release url pipeline @hiento09 (#941) -- CI automatically update Update README with Nightly Build Information and stable download URL @hiento09 (#940) -- refactor: deprecate invokers - auto proxying apis - strict types @louis-jan (#924) -- docs: standardize yaml files @hieu-jan (#933) -- chore: universal module definition @louis-jan (#902) -- docs: add assistants api reference @hieu-jan (#801) -- docs: add json schema for engine and model parameters @tikikun (#840) - -## Contributor - -@0xSage, @hahuyhoang411, @hiento09, @hieu-jan, @imtuyethan, @jan-service-account, @linhtran174, @louis-jan, @namchuai, @tikikun, @urmauur and @vuonghoainam - diff --git a/docs/docs/releases/changelog/changelog-v0.4.2.mdx b/docs/docs/releases/changelog/changelog-v0.4.2.mdx deleted file mode 100644 index c2a6f7c0f..000000000 --- a/docs/docs/releases/changelog/changelog-v0.4.2.mdx +++ /dev/null @@ -1,50 +0,0 @@ ---- -sidebar_position: 8 -slug: /changelog/changelog-v0.4.2 ---- -# v0.4.2 - -For more details, [GitHub Issues](https://github.com/janhq/jan/releases/tag/v0.4.2) - -Highlighted Issue: [Issue #1033: Hotfix model hub](https://github.com/janhq/jan/pull/1033) - -## Changes - -- Hotfix model hub @hahuyhoang411 (#1033) -- Update Model.json @hahuyhoang411 (#1005) - -## 🚀 Features - -- feat: app theme depend on local storage instead native theme electron @urmauur (#1014) -- feat: move stop inference button into the send button @urmauur (#1011) -- feat: loader when starting model @urmauur (#945) -- fix: enable download app linux @urmauur (#993) -- fix: remove coming soon windows @urmauur (#986) - -## 🐛 Fixes - -- fix: migrate new models @louis-jan (#1034) -- fix: add input for api key remote model @urmauur (#1031) -- fix bug #1013, enable posthog for release app version only @hiento09 (#1019) -- fix: delete first message then regenerate again will break the thread @louis-jan (#1015) -- fix: #995 - Fix onboarding state and model sorting @louis-jan (#1009) -- fix: limit analytics events capture @louis-jan (#1012) -- fix: wrong selected model right panel @urmauur (#1001) -- fix: review finder and view as json @louis-jan (#1000) -- fix: enable download app linux @urmauur (#993) - -## 🧰 Maintenance - -- chore: remigrate if there is no models dir @louis-jan (#1038) -- bump nitro version to 0.1.30 @hiento09 (#1036) -- chore: in app copy fixes @0xSage (#1032) -- Separate posthog project for jan app and docs @hiento09 (#1029) -- Update posthog capture url list @hiento09 (#1022) -- docs: second half of "import model docs" PR @0xSage (#1021) -- docs: how to import models @0xSage (#1020) -- fix bug #1013, enable posthog for release app version only @hiento09 (#1019) - -## Contributor - -@0xSage, @hahuyhoang411, @hiento09, @jan-service-account, @louis-jan and @urmauur - diff --git a/docs/docs/releases/changelog/changelog-v0.4.3.mdx b/docs/docs/releases/changelog/changelog-v0.4.3.mdx deleted file mode 100644 index 7ba008286..000000000 --- a/docs/docs/releases/changelog/changelog-v0.4.3.mdx +++ /dev/null @@ -1,69 +0,0 @@ ---- -sidebar_position: 7 -slug: /changelog/changelog-v0.4.3 ---- -# v0.4.3 - -For more details, [GitHub Issues](https://github.com/janhq/jan/releases/tag/v0.4.3) - -Highlighted Issue: [Issue #1159: Hotfix Prompt template for models on the Hub](https://github.com/janhq/jan/pull/1159) - -## Changes - -- Hotfix Prompt template for models on the Hub @hahuyhoang411 (#1159) -- Update model list for new release @hahuyhoang411 (#1143) -- fix(Thread): #1119 focus on the first thread to prevent blank chat screen @namchuai (#1127) -- fix(Thread): #1064 message being added to wrong thread if switching thread @namchuai (#1108) -- fix(Thread): #1042 allow create new thread by clicking Use in Jan Hub @namchuai (#1103) -- feat(ModelSetting): #1065 update state of model setting between threads @namchuai (#1090) -- Update model version @hahuyhoang411 (#1086) -- fix: cache hallucinations and failed to load model due to race condition @louis-jan (#1071) -- fix(thread): #1043 default model to prefer active model @namchuai (#1070) -- Update issue templates @0xSage (#1058) -- Update ctx\_len and max\_tokens @hahuyhoang411 (#1035) - -## 🚀 Features - -- feat: Add codeQL analysis for push main and pr main @hiro-v (#1128) -- Feature autoupdater for nightly build @hiento09 (#1068) -- feat: copy button for code block @urmauur (#1062) -- Enhancements to Dependency Installation and App Testing @hiento09 (#965) - -## 🐛 Fixes - -- fix: error road map url @hieu-jan (#1153) -- Fix token speed slow in machine has multi gpus @hiento09 (#1157) -- fix: added dialog confirmation clean thread @urmauur (#1142) -- fix: remove remote model from shortcut models dialog @urmauur (#1124) -- fix: ui issue - all models are activated @louis-jan (#1120) -- fix: should not hide empty message away @louis-jan (#1116) -- fix: added tooltip for user cannot change model after starting thread @urmauur (#1115) -- fix: remote model always active badges @urmauur (#1113) -- fix: handle chat completion state with enter button @louis-jan (#1114) -- fix: model active indicator only show when model activated @urmauur (#1110) -- fix: #1096 yield error message upon thread switching @louis-jan (#1109) -- fix: toaster success deleted thread showing id instead of active model @urmauur (#1111) -- fix: update copy setting page @urmauur (#1105) -- fix: search recommended model @urmauur (#1106) -- fix: #1097 streaming response is replaced by error message @louis-jan (#1099) -- Fix auto update windows Bug @hiento09 (#1102) -- fix: added dialog confirmation when delete thread @urmauur (#1093) -- fix: system monitor broken layout when responsive @urmauur (#1085) -- bug: chatbox doesn't resize back down @urmauur (#1084) -- fix: thread is broken after deleted first generated message @louis-jan (#1061) - -## 🧰 Maintenance - -- feat: Add codeQL analysis for push main and pr main @hiro-v (#1128) -- docs: refactor dev docs, guides and specs @0xSage (#1092) -- Correct jq command cause ci nightly build run failed @hiento09 (#1104) -- Fix nightly build autoupdater @hiento09 (#1073) -- Feature autoupdater for nightly build @hiento09 (#1068) -- docs: Update product.md @0xSage (#1066) -- Posthog disable click event and increase timeout for nitro load model… @hiento09 (#1060) -- docs: improve quickstart docs @0xSage (#1047) - -## Contributor - -@0xSage, @hahuyhoang411, @hiento09, @hieu-jan, @hiro-v, @jan-service-account, @louis-jan, @namchuai and @urmauur - diff --git a/docs/docs/releases/changelog/changelog-v0.4.4.mdx b/docs/docs/releases/changelog/changelog-v0.4.4.mdx deleted file mode 100644 index 348a48e7e..000000000 --- a/docs/docs/releases/changelog/changelog-v0.4.4.mdx +++ /dev/null @@ -1,198 +0,0 @@ ---- -sidebar_position: 6 -slug: /changelog/changelog-v0.4.4 ---- -# v0.4.4 - -For more details, [GitHub Issues](https://github.com/janhq/jan/releases/tag/v0.4.4) - -Highlighted Issue: [Issue #1587: Update 2023-11-05-hello-world.md](https://github.com/janhq/jan/pull/1587) - -## Changes - -- Update 2023-11-05-hello-world.md @Ssstars (#1587) -- fix(API): #1511 update swagger page @namchuai (#1572) -- fix(Thread): #1212 thread.json not created when user change thread settings @namchuai (#1570) -- fix(Thread): #1336 not allow creating too many unfinished thread @namchuai (#1538) -- Update 01-how-to-get-involved-and-FAQ.mdx @Ssstars (#1555) -- Update 01-how-to-get-involved-and-FAQ.mdx @Ssstars (#1553) -- Update 02-embracing-pod-structure.mdx @Ssstars (#1550) -- Update 01-how-we-hire.mdx @Ssstars (#1551) -- Update 01-how-we-hire.mdx @Ssstars (#1524) -- fix(InferenceExtension): #1067 sync the nitro process state @namchuai (#1493) -- fix(Messages): #1434 create message via api does not display on app correctly @namchuai (#1479) -- Docs for the Integration of Continue and Jan in VSCode @0xgokuz (#1467) -- Chore: Update model.json for UI @hahuyhoang411 (#1448) -- Docs for Installing Models from Hub @0xgokuz (#1450) -- Update about.md @Ssstars (#1436) -- feat(UI): #1404 make left side bar collapsible by hot key @namchuai (#1420) -- docs: Typo in 06-hardware.md @akaMrNagar (#1408) -- fix(API): #1409 fix wrong prefix for threads api @namchuai (#1410) -- Update model hub @hahuyhoang411 (#1383) -- fix(Model): remove unsupported default model setting params @namchuai (#1382) -- fix(trinity): update cover path for trinity v1.2 @hahuyhoang411 (#1380) -- Chore/update model hub @hahuyhoang411 (#1342) -- Update about.md @Ssstars (#1359) -- fix(JanHub): #1158 sort model list @namchuai (#1257) -- fix(Message): open link with external browser @namchuai (#1339) -- feat(Model): #1028 made model.json optional @namchuai (#1314) -- docs: Update onboarding.md @Diane0111 (#1293) -- fix: clean resource on exit @louis-jan (#1290) -- fix: posthog configuration @hieu-jan (#1283) -- docs: update README.md @eltociear (#1277) -- Enable scrolling in the message chat box @Gri-ffin (#1280) -- chore: Update README.md @sr-albert (#1263) -- Adding new model to the Hub @hahuyhoang411 (#1213) -- Feature GPU detection for Jan on Windows and Linux @hiento09 (#1242) -- fix(Thread): #1168 fix newly created thread cannot select model after restart @namchuai (#1176) - -## 🚀 Features - -- feat: add compatibility tag to model selection in right panel @urmauur (#1552) -- Feature integrate antivirus scanner to ci @hiento09 (#1529) -- feat: [hub] update compatibility tags colors @urmauur (#1516) -- feat: hub recommendation labels @urmauur (#1440) -- Feature linux support app image format @hiento09 (#1442) -- fix: render external links @urmauur (#1441) -- fix: add icon collapsible left panel and update keyboard shortcut page @urmauur (#1439) -- feat(UI): update UI footer @urmauur (#1424) -- Fix Bug for Chat Reply Goes off Screen @mishrababhishek (#1393) -- feat: move social media from left panel into footer @urmauur (#1325) -- feat: implementation new UI thread settings @urmauur (#1301) -- Bring social media links @Gri-ffin (#1295) -- feat: added keyboard shortcut list in setting page @urmauur (#1275) -- feat: add swagger /docs to localhost:1337 @louis-jan (#1268) -- feat: update posthog configuration @hieu-jan (#1258) -- feat: Deprecate model.json ready state in favor of .download ext @louis-jan (#1238) -- feat: add engine settings @namchuai (#1199) -- feat: users should be able to switch models mid-thread @louis-jan (#1226) -- feat: temporary link how to import model @urmauur (#1209) - -## 🐛 Fixes - -- fix: #1594 - Model settings - change thread model - go back does not see according settings @louis-jan (#1595) -- fix: #1548 - duplicate command shortcut instruction @louis-jan (#1600) -- fix: switch model caused app crash @louis-jan (#1597) -- fix: #1559 Inference Parameters displayed on new thread with Openai GPT Model @louis-jan (#1588) -- fix: enable user set value manually model setting from input @urmauur (#1585) -- fix: #1569 - Does not apply thread settings when loading model @louis-jan (#1576) -- fix: could not change model params settings @louis-jan (#1547) -- fix: gpu check module export does not work in extension @louis-jan (#1536) -- fix: adjust calculation hub labels using total RAM instead remaining RAM @urmauur (#1522) -- Feature integrate antivirus scanner to ci @hiento09 (#1529) -- fix: allow users to set max tokens variably @urmauur (#1513) -- fix: stop word update @louis-jan (#1457) -- Revert nitro to 0.2.6 @hiento09 (#1491) -- fix: enable text selection codeblock @urmauur (#1466) -- fix: suppress all main node JS error message dialog @louis-jan (#1460) -- Correct AppImage path @hiento09 (#1446) -- fix: render external links @urmauur (#1441) -- fix: add icon collapsible left panel and update keyboard shortcut page @urmauur (#1439) -- fix: GET /models does not work due to new default model dir @louis-jan (#1392) -- fix: model migration stopped working @louis-jan (#1378) -- fix: wrong condition for displaying error message @louis-jan (#1376) -- fix: show hide section engine params @urmauur (#1374) -- fix: copy stream tooltip and hide section when no params setting @urmauur (#1373) -- bugs: fix stop streaming when user delete or clean thread @urmauur (#1347) -- fix: show a proper error message on download failure @louis-jan (#1345) -- Add detect cuda version jan app @hiento09 (#1351) -- fix: Error occurred: Unexpected token "d", "data: ..." is not a valid JSON @louis-jan (#1332) -- fix: app getting stuck at downloading 99% while downloading model @louis-jan (#1320) -- correct type utf-8 @hiento09 (#1311) -- Fix memory on mac included cached and swap @hiento09 (#1298) -- fix: should check app dir before spawning log @louis-jan (#1297) -- fix: disable process logging from server @louis-jan (#1296) -- fix: user should be able to access Swagger docs from localhost:1337 @louis-jan (#1292) -- Switch from Gigabyte to Gibibyte - System monitor @hiento09 (#1286) -- Switch from systeminformation to os-utils to resolve Bitdefender false positive and memory leak issue @hiento09 (#1282) -- fix: swagger CSP issue @louis-jan (#1284) -- fix: support markdown break line @urmauur (#1274) -- fix ci test run failed @hiento09 (#1267) -- Fix wrong linux nitro path @hiento09 (#1266) -- fix: enable command enter on dialog confirmation clean thread @urmauur (#1261) -- fix: input message duplicated due with some input sources @louis-jan (#1259) -- fix: mac users should not see GPU settings @louis-jan (#1255) -- fix: remove redundant gpu detection prompt event @louis-jan (#1254) -- fix: engine settings GUI - feature toggle @louis-jan (#1252) -- Fix bug #1178 high ram on windows @hiento09 (#1241) -- fix: #1183 Reveal in finder does not work on windows @namchuai (#1239) -- fix: remove delay tooltip and click event @urmauur (#1217) -- fix: enable enter command on dialog confirmation delete thread @urmauur (#1218) -- fix: Cleared thread last message is not updated @louis-jan (#1225) -- Fix switch thread crash nitro windows linux @hiento09 (#1214) -- fix: darkmode broken color @urmauur (#1186) - -## 🧰 Maintenance - -- chore: typo model.json @louis-jan (#1599) -- docs: add 04-how-to-get-error-logs.mdx @hieu-jan (#1580) -- chore: teach how to attach logs @0xSage (#1578) -- chore: issues should auto close with PRs through template @0xSage (#1577) -- chore: Update issue templates @0xSage (#1568) -- docs: fix x handles @0xSage (#1532) -- Docs to integrate OpenRouter with Jan without UI/UX @0xgokuz (#1495) -- chore: fix darkmode docs @hieu-jan (#1520) -- docs: fix algolia configuration @hieu-jan (#1518) -- docs: fix algolia configuration @hieu-jan (#1517) -- Revert URL release in readme to version 0.4.3 @hiento09 (#1502) -- refactor: add app and nitro log - resolve dependencies issue @louis-jan (#1447) -- chore: enable agolia @hieu-jan (#1497) -- docs: update troubleshooting and redirects old pages @hieu-jan (#1492) -- docs: minor fix @hieu-jan (#1478) -- docs: initial handbook structure @hieu-jan (#1477) -- Bump nitro to 0.2.8 and change Jan App to support cuda >= 11.7 @hiento09 (#1476) -- Chore update docs jan - add AppImage instruction to docusaurus @hiento09 (#1480) -- Bump nitro to 0.2.7 @hiento09 (#1474) -- chore: error message update @louis-jan (#1473) -- docs: Update 02-import-manually.mdx @0xSage (#1469) -- docs: Update about.md @0xSage (#1465) -- Bump nitro version to 0.2.6 @hiento09 (#1458) -- docs: adding customize engine settings @hieu-jan (#1455) -- docs: add-missing-path @hieu-jan (#1454) -- docs: resize gif @hieu-jan (#1453) -- docs: revenue philosophy @0xSage (#1443) -- docs: jan framework principles @0xSage (#1438) -- docs: fix typo in docs @hieu-jan (#1419) -- chore: clean up use os hook @namchuai (#1418) -- docs: explain each docs page intent @0xSage (#1417) -- docs: Update 01-server.md @0xSage (#1416) -- Update warning url from github md file to jan.ai docs site @hiento09 (#1414) -- docs: improve gpu not used guide @hieu-jan (#1405) -- chore: update README.md @eltociear (#1406) -- Update USAGE docs for linux @hiento09 (#1401) -- docs: gpu not detected @0xSage (#1399) -- docs: Troubleshoot Failed To Fetch @gabrielle-ong (#1398) -- docs: improve docs syntax @hieu-jan (#1394) -- docs: add-install-nightly-guide @hieu-jan (#1390) -- docs: correct href link @hieu-jan (#1338) -- docs: fix chat payload and cURL @hieu-jan (#1360) -- docs: add Chatting Guide @hieu-jan (#1184) -- Chore add docs usage how to switch run mode jan app @hiento09 (#1353) -- docs: configure index page @hieu-jan (#1330) -- docs: Update product.md @0xSage (#1326) -- docs: Update 01-server.md @0xSage (#1327) -- refactor: deprecate the appVersion IPC and use the predefined VERSION @louis-jan (#1309) -- docs: update using models documentation @hieu-jan (#1288) -- docs: update pm handbook @0xSage (#1307) -- docs: contributor docs overview @0xSage (#1305) -- chore: github PR template @0xSage (#1304) -- Fix memory on mac included cached and swap @hiento09 (#1298) -- Enrich discord message for nightly build url @hiento09 (#1294) -- Refactor CI by create shared jobs output @hiento09 (#1287) -- docs: update README.md @hieu-jan (#1281) -- docs: Update README.md @0xSage (#1248) -- feat: Jan Server, API and decoupled clients @louis-jan (#948) -- docs: improve 02-import-manually @hieu-jan (#1222) -- chore: Update issue templates @0xSage (#1229) -- docs: Update 02-import-manually.mdx @0xSage (#1197) -- add sleep 500ms if platform is windows before starting nitro process @hiento09 (#1215) -- docs: improve troubleshoot documentation @hieu-jan (#1173) -- docs: update bug report template @hieu-jan (#1180) -- docs: add troubleshooting @hieu-jan (#1169) -- chore: copy fixes @0xSage (#1167) -- docs: Update 01-start-thread.md @0xSage (#1122) - -## Contributor - -@0xSage, @0xgokuz, @Diane0111, @Gri-ffin, @Ssstars, @akaMrNagar, @eltociear, @gabrielle-ong, @hahuyhoang411, @hiento09, @hieu-jan, @jan-service-account, @louis-jan, @mishrababhishek, @namchuai, @sr-albert, @urmauur and Abhishek Mishra - diff --git a/docs/docs/releases/changelog/changelog-v0.4.5.mdx b/docs/docs/releases/changelog/changelog-v0.4.5.mdx deleted file mode 100644 index 0a94313a5..000000000 --- a/docs/docs/releases/changelog/changelog-v0.4.5.mdx +++ /dev/null @@ -1,103 +0,0 @@ ---- -sidebar_position: 5 -slug: /changelog/changelog-v0.4.5 ---- -# v0.4.5 - -For more details, [GitHub Issues](https://github.com/janhq/jan/releases/tag/v0.4.5) - -Highlighted Issue: [Issue #1758: bug: Correct text for Windows](https://github.com/janhq/jan/issues/1758) - -## Changes - -- fix(Wording): #1758 correct text for windows @namchuai (#1768) -- fix(Log): server log is not display in windows @namchuai (#1764) -- Release Cut v0.4.5 @louis-jan (#1752) -- chore(nitro): 0.2.11 -> 0.2.12 @hiro-v (#1754) -- fix: Nitro CPU threads with correct physical/ performance CPU count @hiro-v (#1726) -- fix(Model): #1662 imported model does not use gpu @namchuai (#1723) -- fix(API): #1720 host/port provided in the local API server does not fully applied @namchuai (#1721) -- fix: server API reference @hiro-v (#1670) -- fix(Model): refactor model label @namchuai (#1596) -- docs/postmortem v 0.4.4 @hieu-jan (#1617) -- chore(ShortcutModal): clean up shortcut modal @namchuai (#1614) -- chore(Dependencies): upgrade node-fetch to fix vulnerable issue @namchuai (#1598) - -## 🚀 Features - -- feat: update UI allow user change folder @urmauur (#1738) -- feat: error message when not enough RAM @urmauur (#1706) -- feat: improvement ux for local api server @urmauur (#1704) -- feat: allow user to move jan folder @namchuai (#1649) -- feat: HTTP proxy support @markmehere (#1562) -- Feature add schedule clean cloudflare page and r2 @hiento09 (#1653) -- feat: relayout left panel setting page @urmauur (#1648) -- Update CI follow git flow @hiento09 (#1625) -- feat: Implement UI page API server dashboard @urmauur (#1636) -- fix: #1545 long thread title @lucido-simon (#1605) - -## 🐛 Fixes - -- fix: model selection does not show in API settings page @louis-jan (#1828) -- fix: user can't view model setting in local api server @namchuai (#1807) -- fix: cannot change jan data folder @namchuai (#1805) -- fix: model selection does not show in API settings page @louis-jan (#1802) -- fix: user can't use a model in model hub @namchuai (#1801) -- fix: stop openai inference raises something amiss @louis-jan (#1799) -- regression fix: input disabled darkmode @urmauur (#1800) -- fix: clean last message when user clean thread message @namchuai (#1793) -- fix: app log not being printed @namchuai (#1790) -- fix: api settings are not applied on changes @louis-jan (#1789) -- fix: could not delete model @louis-jan (#1779) -- fix: can not start model when server is not enabled from model settings page @louis-jan (#1774) -- regression fix: input port not accept alphabets @urmauur (#1772) -- Correct bash script syntax in ci @hiento09 (#1769) -- Hotfix CI pre-release not trigger @hiento09 (#1757) -- fix: bring back open app directory @louis-jan (#1756) -- fix: input port have range validation @urmauur (#1741) -- Fix error nightly build schedule run failed @hiento09 (#1736) -- fix: active model when start server @urmauur (#1719) -- fix: Change to fixed `localhost` instead of using host variable @hiro-v (#1729) -- Fix autoupdater nightly build error @hiento09 (#1727) -- Correct download url readme @hiento09 (#1724) -- fix: API chat/completion is blocked by CORS @louis-jan (#1705) -- fix: Jan server - v1/chat/completions is throwing ERR\_REQUIRE\_ESM @louis-jan (#1703) -- fix: Jan server is showing blank page @louis-jan (#1702) -- fix: switching loader from remote to local model from thread right panel @urmauur (#1692) -- fix: hot-fix algolia search @hieu-jan (#1700) -- fix: disable api key field while server is running @urmauur (#1694) -- fix: stoping model show starting model @urmauur (#1693) -- fix bug #1650 hogging resources @hiento09 (#1663) -- fix: auto select text when collapse panel @urmauur (#1645) -- fix: wrong selected model ref @louis-jan (#1638) -- fix: enable check for update on all supported platforms @louis-jan (#1626) -- fix: correct footer @hieu-jan (#1628) - -## 🧰 Maintenance - -- Docs publish to github page trigger on push to docs branch @hiento09 (#1783) -- Correct bash script syntax in ci @hiento09 (#1769) -- Combine 2 ci pipeline pre-release and nightly into one @hiento09 (#1767) -- Hotfix CI pre-release not trigger @hiento09 (#1757) -- Fix error nightly build schedule run failed @hiento09 (#1736) -- docs: add troubleshoot unexpected token @hieu-jan (#1711) -- docs: fix about pages @0xSage (#1699) -- refactor: deprecate extension type implementation @louis-jan (#1677) -- refactor: file prefix replace utils \& add unit test @louis-jan (#1676) -- Correct ref branch for update url on README.md file @hiento09 (#1672) -- docs: update 02-somethings-amiss @hieu-jan (#1668) -- Cherrypick cicd to main branch to apply new gitflow @hiento09 (#1665) -- docs: add user and developer guides for extensions @hieu-jan (#1657) -- docs: add QA Script @hieu-jan (#1660) -- chore: Bump nitro to 0.2.11 @hiro-v (#1655) -- chore: Bump version nitro to 0.2.10 @hiro-v (#1644) -- docs: add antivirus compatibility testing @hieu-jan (#1641) -- refactor: introduce node module in nitro extension @louis-jan (#1630) -- Update 02-somethings-amiss.mdx @Ssstars (#1634) -- docs: add integration AzureOpenAI @hieu-jan (#1632) -- docs: add troubleshooting permission denied @hieu-jan (#1631) - -## Contributor - -@0xSage, @Ssstars, @hiento09, @hientominh, @hieu-jan, @hiro-v, @jan-service-account, @louis-jan, @lucido-simon, @markmehere, @namchuai and @urmauur - diff --git a/docs/docs/releases/changelog/changelog-v0.4.6.mdx b/docs/docs/releases/changelog/changelog-v0.4.6.mdx deleted file mode 100644 index aece33420..000000000 --- a/docs/docs/releases/changelog/changelog-v0.4.6.mdx +++ /dev/null @@ -1,64 +0,0 @@ ---- -sidebar_position: 4 -slug: /changelog/changelog-v0.4.6 ---- -# v0.4.6 - -For more details, [GitHub Issues](https://github.com/janhq/jan/releases/tag/v0.4.6) - -Highlighted Issue: [Issue #1918: Regression fix assistant extension codesign](https://github.com/janhq/jan/pull/1918) - -## Changes - -- Regression fix assitant extension codesign @hiento09 (#1918) -- Release cut 0.4.6 @louis-jan (#1888) -- feat: add factory reset feature @namchuai (#1750) -- chore: add react developer tools to electron @Helloyunho (#1858) -- Sync Release 0.4.5 to dev @louis-jan (#1830) - -## 🚀 Features - -- feat: integrate umami @hieu-jan (#1809) -- feat: Add default value for ngl @hiro-v (#1886) -- feat: add start/stop model via http api @namchuai (#1862) -- feat: add snackbar component and update style side banner @urmauur (#1874) -- feat: move open app directory into icon folder @urmauur (#1879) -- chore: Bump nitro to 0.3.3 @hiro-v (#1877) -- feat: put timestamp under thread name in left panel @urmauur (#1820) -- perf: remove unnecessary rerender when user typing input @namchuai (#1818) - -## 🐛 Fixes - -- fix: umami analytics send app loaded event @louis-jan (#1928) -- fix: migration loading indicator @louis-jan (#1913) -- fix: broken manual import model with NA fields @louis-jan (#1912) -- fix: openAIEmbedding now requires top level API Key configuration @louis-jan (#1902) -- fix: load model fail overlays thread message error @louis-jan (#1901) -- fix: show generate response on message send @louis-jan (#1895) -- fix: display error message on model load fail @louis-jan (#1894) -- fix: the selected model auto revert back to previous used model with setting mismatch @louis-jan (#1883) -- fix: add dialog confirm when move folder and next dest isn't empty @urmauur (#1880) -- Increase timeout for explore.e2e.spec test @hiento09 (#1844) -- chore: Bump nitro to 0.3.3 @hiro-v (#1877) -- fix: auto collapse retrieval setting while update config @urmauur (#1866) -- fix: loader show while error global when change folder @urmauur (#1870) -- fix: retrieval always ask for api key @louis-jan (#1856) -- fix: all input text box are disabled @namchuai (#1855) -- fix: add loader when user change folder @urmauur (#1850) -- Add code sign step for darwin assistant extension @hiento09 (#1841) -- fix: preserve focused thread when navigating in jan app @namchuai (#1814) -- fix: highlight menu dropdown server options @urmauur (#1831) - -## 🧰 Maintenance - -- chore: mark RAG as experimental feature @louis-jan (#1882) -- Increase timeout for explore.e2e.spec test @hiento09 (#1844) -- chore: Bump nitro to 0.3.3 @hiro-v (#1877) -- chore: Jan Data Folder setting is no longer an experimental feature @louis-jan (#1847) -- chore: resolve main conflict @louis-jan (#1833) -- Update release url on README to default branch instead of main branch @hiento09 (#1832) - -## Contributor - -@Helloyunho, @hiento09, @hieu-jan, @hiro-v, @jan-service-account, @louis-jan, @namchuai, @urmauur and James - diff --git a/docs/docs/releases/changelog/changelog-v0.4.7.mdx b/docs/docs/releases/changelog/changelog-v0.4.7.mdx deleted file mode 100644 index 06db9832d..000000000 --- a/docs/docs/releases/changelog/changelog-v0.4.7.mdx +++ /dev/null @@ -1,118 +0,0 @@ ---- -sidebar_position: 3 -slug: /changelog/changelog-v0.4.7 ---- -# v0.4.7 - -For more details, [GitHub Issues](https://github.com/janhq/jan/releases/tag/v0.4.7) - -Highlighted Issue: [Issue #2121: Release cut v0.4.7](https://github.com/janhq/jan/pull/2121) - -## Changes - -- Release cut v0.4.7 @louis-jan (#2121) -- chore: update models @hahuyhoang411 (#1829) -- add docs for entire advanced settings @hieu-jan (#2063) -- docs: Fix #2040 : added /v1 path to apiBase @ldebs (#2041) -- fix: ui for disabled state of gpu acceleration @namchuai (#2034) -- feat: Initialize POM structure with fixtures on Playwright @Van-QA (#2015) -- Alternative solution for `Thread titles should auto-summarize Topic` @0xgokuz (#1976) -- Update authors.yml Rex @hahuyhoang411 (#1956) -- Update authors.yml Louis @louis-jan (#1955) -- Change env Dockerfile.gpu and update README @hiento09 (#1963) -- chore: Update authors.yml for Van Pham @Van-QA (#1954) -- Sync dev branch to docs branch @hieu-jan (#1948) -- sync current docs branch to dev branch @hieu-jan (#1947) -- feat: Playwright capture screenshot of Electron desktop app (Jan) on failures @Van-QA (#1934) -- Sync main to dev after release 0.4.6 @hiento09 (#1929) - -## 🚀 Features - -- feat: Add nitro vulkan to support AMD GPU/ APU and Intel Arc GPU @hiro-v (#2056) -- fix: flow edit message @urmauur (#2113) -- Feature helmchart and ci jan server @hiento09 (#2106) -- feat: improvementUI GPU acceleration @urmauur (#1990) -- feat: add edit messages users @urmauur (#1974) -- feat: revamp ui dropdown list model option @urmauur (#1977) -- feat: add modal troubleshooting guideline @urmauur (#1968) -- feat: integrate umami script locally @hieu-jan (#1958) -- feat: User Selectable GPUs and GPU-based Model Recommendations @hiento09 (#1730) - -## 🐛 Fixes - -- fix: correct vulkan settings @louis-jan (#2128) -- fix: chore UI @louis-jan (#2125) -- Regression: bump nitro to 0.3.13 @hiento09 (#2124) -- Regression: Linux vulkan binary path @hiento09 (#2123) -- fix: revert back menu actions @louis-jan (#2120) -- fix: mismatching between nightly build and version - jan about @louis-jan (#2114) -- fix: flow edit message @urmauur (#2113) -- fix: tools section should be expanded by default @louis-jan (#2110) -- fix: failed to bind port - nitro error message copy @louis-jan (#2101) -- fix: remove caret down icon when tab selected into remote model @urmauur (#2102) -- fix: openai client sdk compatible @louis-jan (#2096) -- Fix bug #2005 docker blank website @hiento09 (#2093) -- fix: check if port is occupied before start local server @namchuai (#2098) -- fix: broken model.json update @louis-jan (#2099) -- fix: make text input scrollable @urmauur (#2083) -- fix: failed to send message blocks thread creation @louis-jan (#2091) -- fix: server crashes on missing module @louis-jan (#2089) -- fix: expand assistant and model settings by default @louis-jan (#2081) -- fix: move jan data folder - error handling for no write permission granted @louis-jan (#2077) -- fix: check for updates should show no update are available on the latest build @louis-jan (#2075) -- fix: infinity showed when haven't get total size @namchuai (#2066) -- fix: should stop running the model when GPU settings are changed @louis-jan (#2067) -- fix: settings page state loop and dark theme @louis-jan (#2065) -- fix: Fix Nitro windows with error 3221225781 @hiro-v (#2057) -- fix: message should only be interrupted when i start another thread @louis-jan (#2053) -- fix: local server start error should not change to started state @louis-jan (#2052) -- fix: update copy of message queue @louis-jan (#2051) -- fix: download mutilple binaries @namchuai (#2043) -- fix: disable gpu drop down box if there's no GPU ready @namchuai (#2046) -- fix: app should generate thread title with length restriction @louis-jan (#2037) -- fix: factory reset not remove jan data folder @namchuai (#2027) -- fix: content setting right panel default to collapse @urmauur (#2026) -- fix: local server blank parameters if there is no thread selected @louis-jan (#2028) -- fix: model path backward compatible @louis-jan (#2018) -- fix: resolve state update loop infinitive rerendering @louis-jan (#2017) -- fix: lack of auto-cleaning mechanism for logs @louis-jan (#2003) -- fix: app stuck regenerating assistant response @louis-jan (#2001) -- fix: decouple thread summary update @louis-jan (#1994) -- fix: app fails gracefully with clear error messages @louis-jan (#1993) -- fix: retrieval stuck at generating response @louis-jan (#1988) -- Fix macos auto update failed on nightly build @hiento09 (#1991) -- fix: model downloads broken on nightly @louis-jan (#1984) -- fix: RAG enhancements @urmauur (#1965) -- Update docs run Jan Server in Docker mode @hiento09 (#1960) -- fix: update conditional check last status message @urmauur (#1951) -- fix: markdown render for chat completion role user @urmauur (#1944) -- fix: avoid users to create so many threads at the same time @urmauur (#1930) -- fix: download model will close panel item hub @urmauur (#1923) - -## 🧰 Maintenance - -- docs: improve integrations guide \& import model using absolute path @hieu-jan (#2076) -- chore: add app version into log @namchuai (#2116) -- docs: add integration docs Mistral AI API @hieu-jan (#2070) -- docs:add-advanced-settings-https-proxy @hieu-jan (#2054) -- chore: refactor watch system resource hook @louis-jan (#2048) -- docs: Updates Guide Using the Local Server @SamPatt (#1924) -- server install core using link instead of file @hiento09 (#2025) -- chore: prettier fix @louis-jan (#2019) -- chore: bump nitro 0.3.9 @louis-jan (#2016) -- refactor: reduce IPC \& API handlers - shared node logics @louis-jan (#2011) -- docs: update 03-gpu-not-used with RTX issues @hieu-jan (#1992) -- docs: add Jan installation using Docker @hieu-jan (#1981) -- chore: reduce bundle size @louis-jan (#1970) -- docs: add author.yml @hieu-jan (#1973) -- Update authors.yml hien @hiento09 (#1953) -- chore: server download progress + S3 @louis-jan (#1925) -- chore: add author james @namchuai (#1952) -- chore: Add author - Ashley @imtuyethan (#1950) -- chore: Add Author - Hiro @hiro-v (#1949) -- docs: adding new feature for v0.4.6 to release checklist @Van-QA (#1927) - -## Contributor - -@0xSage, @0xgokuz, @SamPatt, @Van-QA, @hahuyhoang411, @hiento09, @hieu-jan, @hiro-v, @imtuyethan, @jan-service-account, @ldebs, @louis-jan, @namchuai, @urmauur and James - diff --git a/docs/docs/releases/changelog/changelog-v0.4.8.mdx b/docs/docs/releases/changelog/changelog-v0.4.8.mdx deleted file mode 100644 index 6aecf4293..000000000 --- a/docs/docs/releases/changelog/changelog-v0.4.8.mdx +++ /dev/null @@ -1,98 +0,0 @@ ---- -sidebar_position: 2 -slug: /changelog/changelog-v0.4.8 ---- -# v0.4.8 - -For more details, [GitHub Issues](https://github.com/janhq/jan/releases/tag/v0.4.8) - -Highlighted Issue: [Issue #2267: Release cut v0.4.8](https://github.com/janhq/jan/pull/2267) - -## Changes - -- Release cut v0.4.8 @louis-jan (#2267) -- Add modify notary team in CI @hiento09 (#2265) -- Chore: Update new models to model hub @hahuyhoang411 (#2192) -- Macos Notarize migrage to new Team ID @hiento09 (#2228) -- docs: update API Reference assistants\_id endpoint from DevDocs @avb-is-me (#2195) -- docs: update API Reference assistants endpoint from DevDocs @avb-is-me (#2194) -- docs: update API Reference threads endpoint from DevDocs @avb-is-me (#2182) -- fix: wrong profile parameter in docker command @mooncool (#2159) -- Sync release 0.4.7 to dev @louis-jan (#2151) -- docs: add upstream acknowledgements @hieu-jan (#2136) -- Sync dev branch to docs branch @hieu-jan (#2131) - -## 🚀 Features - -- feat: prompt user to download an update manually @louis-jan (#2261) -- feat: Jan can see @hiro-v (#2069) -- Revert feat: temporary remove dark mode @urmauur (#2221) -- feat: add turborepo @louis-jan (#2220) -- fix: change button import model on hub page @urmauur (#2178) -- feat: temporary remove dark mode :( @urmauur (#2168) -- feat: add import model feature @namchuai (#2104) -- feat: restore docusaurus style @urmauur (#2152) -- feat: add a simple way to convert Hugging Face model to GGUF @Helloyunho (#1972) - -## 🐛 Fixes - -- codesign script force sign @hiento09 (#2291) -- fix: should not attach error messages to the completion request @louis-jan (#2258) -- fix: image upload button and drag event are not enabled @louis-jan (#2248) -- fix: error message being sent along with conversation when inference @namchuai (#2242) -- fix: replaced user path from app log @namchuai (#2238) -- fix: drag and drop support image format to support vision model @urmauur (#2237) -- fix: re-configure changelog sections @hieu-jan (#2230) -- fix: import from HuggingFace with random string is causing app crash @louis-jan (#2214) -- fix: comment from QA regarding import model @namchuai (#2213) -- fix: download model error does not reset state in model hub @namchuai (#2199) -- fix: minor ui missing secondary background @urmauur (#2198) -- docs: update docker command @hieu-jan (#2180) -- fix: some bugs for import model @namchuai (#2181) -- fix: change button import model on hub page @urmauur (#2178) -- fix space between progress bar and title list of gpu @urmauur (#2177) -- fix: disabled prompt user using dangerouslySetInnerHTML @urmauur (#2176) -- fix: style list of gpus on system monitor @urmauur (#2172) -- fix: system monitor expand overlap tooltip ribbon @urmauur (#2158) -- Huggingface extension add codesign step for building on darwin @hiento09 (#2166) -- Add run codesign for huggingface extension @hiento09 (#2163) -- fix: system monitor ui @urmauur (#2135) - -## 🧰 Maintenance - -- chore: temporary remove convert model @namchuai (#2266) -- docs: sync slug fix from dev branch to docs branch @hieu-jan (#2264) -- docs: Update broken link and fix the slug @aindrajaya (#2260) -- docs: Fix navbar issues. Keep stay when clicked other menu items from the sidebar @aindrajaya (#2253) -- docs: sync docs hub fixes from dev to docs branch @hieu-jan (#2247) -- docs: Update content for Hub page and Guides section @aindrajaya (#2245) -- docs: Fix Dark Mode on the Hub page and Update the Navbar functionality @aindrajaya (#2243) -- chore: sync dev branch to docs branch @hieu-jan (#2239) -- Chore: add prefix latest for task clean r2 bucket @hiento09 (#2233) -- fix: re-configure changelog sections @hieu-jan (#2230) -- docs: add command run API server without frontend @hieu-jan (#2231) -- docs: revamp entire Jan guides @hieu-jan (#2139) -- chore: clean up some redundant code @namchuai (#2215) -- docs: update API Reference chatCompletions from DevDocs @avb-is-me (#2171) -- docs: update API Reference download model from DevDocs @avb-is-me (#2170) -- docs: update API Reference model\_id from DevDocs @avb-is-me (#2169) -- docs: update API Reference listModel from DevDocs @avb-is-me (#2161) -- docs: Update 08-antivirus-compatibility-testing.md @0xSage (#2186) -- docs: adding new feature for v0.4.7 to release checklist @Van-QA (#2189) -- docs: Update 01-integrate-continue.mdx @0xSage (#2187) -- chore: bump nitro 0.3.14 @louis-jan (#2183) -- docs: Sync dev branch to docs branch @hieu-jan (#2185) -- docs: update docker command @hieu-jan (#2180) -- docs: update wall of love @hieu-jan (#2179) -- docs: add Jan newsletter @hieu-jan (#2174) -- chore: make convert gguf as experimental feature @namchuai (#2156) -- docs: update acknowledgements @hieu-jan (#2147) -- feat: restore docusaurus style @urmauur (#2152) -- docs: update run Jan in Docker mode @hieu-jan (#2150) -- Docs pena team - Add Quickstart Docs @aindrajaya (#2138) -- docs: hide incomplete pages @hieu-jan (#2127) - -## Contributor - -@0xSage, @Helloyunho, @Van-QA, @aindrajaya, @avb-is-me, @hahuyhoang411, @hiento09, @hieu-jan, @hiro-v, @jan-service-account, @louis-jan, @mooncool, @namchuai and @urmauur - diff --git a/docs/docs/releases/changelog/changelog-v0.4.9.mdx b/docs/docs/releases/changelog/changelog-v0.4.9.mdx deleted file mode 100644 index 62211eac6..000000000 --- a/docs/docs/releases/changelog/changelog-v0.4.9.mdx +++ /dev/null @@ -1,72 +0,0 @@ ---- -sidebar_position: 1 -slug: /changelog/changelog-v0.4.9 ---- -# v0.4.9 - -For more details, [GitHub Issues](https://github.com/janhq/jan/releases/tag/v0.4.9) - -Highlighted Issue: [Issue #2421: Release/v0.4.9](https://github.com/janhq/jan/pull/2421) - -## Changes - -- Release/v0.4.9 @namchuai (#2421) -- Release cut 0.4.9 @louis-jan (#2398) -- Update models.json @louis-jan (#2382) -- docs: add about/faq @eckartal (#2329) -- Update docs 14th mar @dan-jan (#2362) -- feat: Nitro-Tensorrt-LLM Extension @louis-jan (#2280) -- Sync release 0.4.8 to dev @louis-jan (#2297) - -## 🚀 Features - -- feat: quick ask support dark mode @urmauur (#2316) - -## 🐛 Fixes - -- fix: move tensorrt executable to engine @namchuai (#2400) -- fix: unable to start web with quick ask @namchuai (#2402) -- fix: fail-fast would cancel matrix jobs as soon as one job fails @louis-jan (#2401) -- fix: clean working dir with long space support on Windows @louis-jan (#2399) -- fix: line height typography blog and docs @urmauur (#2390) -- fix: some regressions for tensorrt nightly build @namchuai (#2380) -- fix: use model from model hub not load correct model in thread screen @namchuai (#2368) -- fix: wrong engine handling @louis-jan (#2363) -- fix: incompatible GPU error message @louis-jan (#2357) -- fix: app does not recognize GPU first launch @louis-jan (#2350) -- fix: disable rag \& stream settings from tensorrt llm model.json @louis-jan (#2351) -- fix: badge or progress tensorRtExtensionItem @urmauur (#2349) -- fix: ts error when declar var in case @namchuai (#2348) -- fix: some costmetic issues: badges corner, recommended for tensorrt models @namchuai (#2346) -- Add icon file contain image size in file name to fix linux icon @hiento09 (#2344) -- fix: put quick ask feature toggle under experimental feature @louis-jan (#2338) -- fix: do not migrate extensions from quick ask window @louis-jan (#2336) -- fix: existing changelog @hieu-jan (#2330) -- fix: gate quick ask with feature toggle @louis-jan (#2331) -- fix: quick app windows, tray and dock behaviors @louis-jan (#2327) -- fix: jan app tray blocks app update @louis-jan (#2319) -- fix: quick ask not show @louis-jan (#2315) -- fix: quick ask blocks app update @louis-jan (#2310) -- fix: message from quick ask not get the selected model @namchuai (#2307) -- fix: replace robotjs by nutjs (#2295) @louis-jan (#2302) - -## 🧰 Maintenance - -- docs: Update sidebar and content for http proxy and import model @aindrajaya (#2328) -- chore: temporary remove linux from tensorrt support @namchuai (#2386) -- docs: Update broken-build.mdx @0xSage (#2385) -- docs: sync updated content to main page @hieu-jan (#2384) -- docs: fix broken link by redirecting to the right paths @aindrajaya (#2381) -- docs: api reference 2.0 @aindrajaya (#2367) -- docs: bump changelog v0.4.8 @hieu-jan (#2366) -- docs: trt-llm extension guides @0xSage (#2353) -- docs: enhance autogenerate changelog configuration @hieu-jan (#2289) -- docs: update website-docs content @hieu-jan (#2287) -- docs: update slogan @hieu-jan (#2282) -- docs: sync updated content from dev to docs branch @hieu-jan (#2283) -- docs: Fix install slug and fix navbar style in darkmode @aindrajaya (#2306) - -## Contributor - -@0xSage, @aindrajaya, @dan-jan, @eckartal, @hiento09, @hieu-jan, @jan-service-account, @louis-jan, @namchuai and @urmauur - diff --git a/docs/docs/server-suite/admin-console.md b/docs/docs/server-suite/admin-console.md deleted file mode 100644 index e2da5c096..000000000 --- a/docs/docs/server-suite/admin-console.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Admin Console ---- \ No newline at end of file diff --git a/docs/docs/server-suite/audit-compliance.md b/docs/docs/server-suite/audit-compliance.md deleted file mode 100644 index af4684899..000000000 --- a/docs/docs/server-suite/audit-compliance.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Audit & Compliance ---- \ No newline at end of file diff --git a/docs/docs/server-suite/enterprise.md b/docs/docs/server-suite/enterprise.md deleted file mode 100644 index 292911485..000000000 --- a/docs/docs/server-suite/enterprise.md +++ /dev/null @@ -1,101 +0,0 @@ ---- -title: Jan Enterprise -slug: /enterprise -description: Built for Enterprise Deployments -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -# Customize and run AI across your organization - -Jan can professional backend to create, customize and run AIs at scale, for production-grade data centers. - -:::warning - -The server suite is actively under development and lacking documentation. -You can find the source code [here](https://github.com/janhq/jan/tree/dev/server) and [here](https://github.com/janhq/jan/blob/dev/docker-compose.yml). - -It is free to use. Your feedback is appreciated 🙏. - -::: - -## Own your AI. Own your data. Own your IP. - -Over time, we expect more teams and organizations to turn to running their own AIs on-prem. - -**Why?** - -- Prevent shadow data -- Avoid vendor lock-in -- Keep your IP in house -- Uptime and support predictability -- Eliminate monthly API bills - use your existing hardware -- Full control over your AI - you can open it up and see what's going on - -## Why Jan Enterprise - -### Fast deployment - -- **1 click deployment**. Immediately serve, customize, and scale models and assistants across your org. Scale your AI team so they can focus on the IP instead of fixing plumbing across every computer. -- **Scale across infrastructures**: on premise, with cloud providers, or as a hybrid deployment. Run Jan in completely air-gapped environments. -- **Optimized for datacenter-grade GPUs**: Can run on Nvidia, AMD Hardware, or even normal CPUs. Use TensorRT-LLM for more speedups on A6000s and above. - -### Full customization - -- Runs custom models or popular LLMs like Llama2, Mistral at production scale -- API that is fully OpenAI-compatible, i.e. can be a drop-in migration -- Powerful Agent framework to customize LLMs using RAG or Enterprise Data integrations. - -:::tip - -Not a Jan fan but convinced about local AI? No worries, here's a list of [awesome local ai](https://github.com/janhq/awesome-local-ai) alternatives that you can use in your team. - -::: - -## Supported Extensions - -The SDK and current implemention accomodate the following potential extensions. - -### Admin console - -Integrate SAML, OAUTH, OIDC - - - -### Identity access management - -Grant roles, groups and general ACL - - - -### Audit compliance - -Plug in Guardrails, LLMGuard, your custom rules engine and more - - - -### Observability - -Plug in Langfuse, Langsmith, Openllmetry and more - - - -## Enterprise support SLA - -Our core team and AI solutions partners are to help. - -Email us at: `inquiries@jan.ai` for: - -- Priority case routing -- Proactive case monitoring -- 24-hour support response diff --git a/docs/docs/server-suite/home-server.md b/docs/docs/server-suite/home-server.md deleted file mode 100644 index 4f6a375a9..000000000 --- a/docs/docs/server-suite/home-server.md +++ /dev/null @@ -1,51 +0,0 @@ ---- -title: Jan Home Server -slug: /home-server -description: Built for Home Servers -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - ] ---- - -# Customize and run AI across all of your devices - -Self-host and access your AI from anywhere with Jan server suite. - -:::warning - -Jan's server suite is actively under development and lacking documentation. -You can find the source code [here](https://github.com/janhq/jan/tree/dev/server) and [here](https://github.com/janhq/jan/blob/dev/docker-compose.yml). - -It is free to use. Your feedback is appreciated 🙏. - -::: - -## Why Home Servers - -We built [Jan Desktop](/desktop) for our personal use. We're now building Server Suite, for our team & community use. - -Our goal is to help teams, like ours, move past cobbling together demo apps to use AI at work. We should be able to customize and collaborate with AIs that are usable on a daily basis. - -**Check out [Server Suite](https://github.com/janhq/jan/tree/dev/server) if you need to:** - -- Self-host Jan, with multi client sync -- Customize it with Personal Data Connectors -- Simple Authentication (username / pw) -- Scales across Consumer-grade Hardware, including GPUs -- Everyone has admin level visibility and can see all conversations -- Create assistants that has access to the same knowledge base - -:::tip - -Not a Jan fan but convinced about running AI locally? No worries, here's a list of [awesome local ai](https://github.com/janhq/awesome-local-ai) alternatives that you can use in your home server. - -::: diff --git a/docs/docs/server-suite/identity-access-management.md b/docs/docs/server-suite/identity-access-management.md deleted file mode 100644 index bdeafa9bd..000000000 --- a/docs/docs/server-suite/identity-access-management.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Identity & Access Control ---- \ No newline at end of file diff --git a/docs/docs/server-suite/observability.md b/docs/docs/server-suite/observability.md deleted file mode 100644 index 6371a6287..000000000 --- a/docs/docs/server-suite/observability.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Observability ---- \ No newline at end of file diff --git a/docs/docs/solutions/ai-employees.md b/docs/docs/solutions/ai-employees.md deleted file mode 100644 index 53f425ab5..000000000 --- a/docs/docs/solutions/ai-employees.md +++ /dev/null @@ -1,4 +0,0 @@ ---- -title: AI Employees -tags: [use-cases] ---- \ No newline at end of file diff --git a/docs/docs/solutions/ai-pc.md b/docs/docs/solutions/ai-pc.md deleted file mode 100644 index 415dadef9..000000000 --- a/docs/docs/solutions/ai-pc.md +++ /dev/null @@ -1,4 +0,0 @@ ---- -title: AI PC -tags: [use-cases] ---- \ No newline at end of file diff --git a/docs/docs/solutions/chatgpt-alternative.md b/docs/docs/solutions/chatgpt-alternative.md deleted file mode 100644 index 84ec2a59b..000000000 --- a/docs/docs/solutions/chatgpt-alternative.md +++ /dev/null @@ -1,4 +0,0 @@ ---- -title: Self-hosted alternative to OpenAI's Platform -tags: [use-cases] ---- \ No newline at end of file diff --git a/docs/docs/solutions/consultants.md b/docs/docs/solutions/consultants.md deleted file mode 100644 index 085a84954..000000000 --- a/docs/docs/solutions/consultants.md +++ /dev/null @@ -1,4 +0,0 @@ ---- -title: Software Consultants -tags: [audiences] ---- \ No newline at end of file diff --git a/docs/docs/solutions/developers.md b/docs/docs/solutions/developers.md deleted file mode 100644 index e912365bf..000000000 --- a/docs/docs/solutions/developers.md +++ /dev/null @@ -1,4 +0,0 @@ ---- -title: Developers -tags: [audiences] ---- \ No newline at end of file diff --git a/docs/docs/solutions/enterprises.md b/docs/docs/solutions/enterprises.md deleted file mode 100644 index 0a219ee74..000000000 --- a/docs/docs/solutions/enterprises.md +++ /dev/null @@ -1,4 +0,0 @@ ---- -title: Enterprises -tags: [audiences] ---- \ No newline at end of file diff --git a/docs/docs/solutions/finance.md b/docs/docs/solutions/finance.md deleted file mode 100644 index dde66d618..000000000 --- a/docs/docs/solutions/finance.md +++ /dev/null @@ -1,4 +0,0 @@ ---- -title: Finance -tags: [industries] ---- \ No newline at end of file diff --git a/docs/docs/solutions/government.md b/docs/docs/solutions/government.md deleted file mode 100644 index cb52f5d71..000000000 --- a/docs/docs/solutions/government.md +++ /dev/null @@ -1,4 +0,0 @@ ---- -title: Government -tags: [industries] ---- \ No newline at end of file diff --git a/docs/docs/solutions/healthcare.md b/docs/docs/solutions/healthcare.md deleted file mode 100644 index 1cd85463b..000000000 --- a/docs/docs/solutions/healthcare.md +++ /dev/null @@ -1,4 +0,0 @@ ---- -title: Healthcare -tags: [industries] ---- \ No newline at end of file diff --git a/docs/docs/solutions/legal.md b/docs/docs/solutions/legal.md deleted file mode 100644 index 6cc88372c..000000000 --- a/docs/docs/solutions/legal.md +++ /dev/null @@ -1,4 +0,0 @@ ---- -title: Legal -tags: [industries] ---- \ No newline at end of file diff --git a/docs/docs/solutions/startups.md b/docs/docs/solutions/startups.md deleted file mode 100644 index 23cdb5bbe..000000000 --- a/docs/docs/solutions/startups.md +++ /dev/null @@ -1,4 +0,0 @@ ---- -title: Startups -tags: [audiences] ---- \ No newline at end of file diff --git a/docs/docs/studio/studio.md b/docs/docs/studio/studio.md deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/docs/support/support.md b/docs/docs/support/support.md deleted file mode 100644 index 36895017d..000000000 --- a/docs/docs/support/support.md +++ /dev/null @@ -1,10 +0,0 @@ ---- -title: Support - Jan ---- - -# Support - -- Bugs & requests: file a GitHub ticket [here](https://github.com/janhq/jan/issues) -- For discussion: join our Discord [here](https://discord.gg/FTk2MvZwJH) -- For business inquiries: email hello@jan.ai -- For jobs: please email hr@jan.ai diff --git a/docs/docs/team/contributor-program.md b/docs/docs/team/contributor-program.md deleted file mode 100644 index cacdfa047..000000000 --- a/docs/docs/team/contributor-program.md +++ /dev/null @@ -1,3 +0,0 @@ ---- -title: Contributor Program ---- \ No newline at end of file diff --git a/docs/docs/team/join-us.md b/docs/docs/team/join-us.md deleted file mode 100644 index 84b8c263c..000000000 --- a/docs/docs/team/join-us.md +++ /dev/null @@ -1,12 +0,0 @@ ---- -title: Join us ---- - -- [ ] Explain Core Team, Contributors and Open Source approach - - -[Careers on Bamboo](https://janai.bamboohr.com/careers) - -### Careers - -Jan has a culture of ownership, independent thought, and lightning fast execution. If you'd like to join us, we have open positions on our [careers page](https://janai.bamboohr.com/careers). \ No newline at end of file diff --git a/docs/docs/team/team.md b/docs/docs/team/team.md deleted file mode 100644 index b18774dda..000000000 --- a/docs/docs/team/team.md +++ /dev/null @@ -1,27 +0,0 @@ ---- -title: Who we are ---- - -What's Jan the company about? -We aim to build the cognitive framework for future robots - -### Open Source - -Jan is a startup with an open source business model. We believe in the need for an open source AI ecosystem, and are committed to building it. - -- [Jan Framework](https://github.com/janhq/jan) (AGPLv3) -- [Jan Desktop Client & Local server](https://jan.ai) (AGPLv3, built on Jan Framework) -- [Nitro: run Local AI](https://github.com/janhq/nitro) (AGPLv3) - -### Bootstrapped - -Jan is currently a bootstrapped startup. - -We balance technical invention with the search for a sustainable business model. Thus, we appreciate any business inquiries that can balance growth with cashflow. - -**We invite you to join us on our journey to find PMF**. Join our [Discord here](https://discord.gg/BnHRr3Q7Ms) - -## Our Team - -- Contributors -- Core Team diff --git a/docs/docs/template/QA_script.md b/docs/docs/template/QA_script.md deleted file mode 100644 index de006c629..000000000 --- a/docs/docs/template/QA_script.md +++ /dev/null @@ -1,196 +0,0 @@ -# Regression test - -**Release Version:** v0.4.7 - -**Operating System:** MacOS - ---- - -## A. Installation, Update, and Uninstallation - -### 1. Users install app - -- [ ] Check that the installation package is not corrupted and passes all security checks. -- [ ] :key: Confirm that the app launches successfully after installation. - -### 2. Users update app - -- [ ] :key: Validate that the update does not corrupt user data or settings. -- [ ] :key: Confirm that the app restarts or prompts the user to restart after an update. -- [ ] When updating the app, check if the `/models` directory has any JSON files that change according to the update. -- [ ] Verify if updating the app also updates extensions correctly (test functionality changes, support notifications for necessary tests with each version related to extensions update). - -### 3. Users uninstall / close app - -- [ ] :key: Ensure that after closing the app, all models are unloaded. -- [ ] :key::warning: Check that the uninstallation process removes the app successfully from the system. -- [ ] Clean the Jan root directory and open the app to check if it creates all the necessary folders, especially models and extensions. - -## B. Overview - -### 1. Shortcut key, memory usage / CPU usage - -- [ ] :key: Test each shortcut key to confirm it works as described (My models, navigating, opening, closing, etc.). -- [ ] :key: Ensure that the interface presents the correct numbers for memory and CPU usage. - -### 2. Users check the `active model` - -- [ ] :key: Verify that the app correctly displays the state of the loading model (e.g., loading, ready, error). -- [ ] :key: Confirm that the app allows users to switch between models if multiple are available. -- [ ] Check that the app provides feedback or instructions if the model fails to load. -- [ ] Verify the troubleshooting assistant correctly capture hardware / log info #1784 - -## C. Thread - -### 1. Users can chat with Jan, the default assistant - -- [ ] :key: Verify sending a message enables users to receive responses from model. -- [ ] :key: Ensure that the conversation thread is maintained without any loss of data upon sending multiple messages. -- [ ] ‌Users should be able to edit msg and the assistant will re-generate the answer based on the edited version of the message. -- [ ] Test for the ability to send different types of messages (e.g., text, emojis, code blocks). -- [ ] Check the output format of the AI (code blocks, JSON, markdown, ...). -- [ ] :key: Validate the scroll functionality in the chat window for lengthy conversations. -- [ ] Check if the user can copy / delete the response. -- [ ] :key: Check the `clear message` / `delete entire chat` button works. -- [ ] Check if deleting all the chat retains the system prompt. -- [ ] :key: Validate that there is appropriate error handling and messaging if the assistant fails to respond. -- [ ] Test assistant's ability to maintain context over multiple exchanges. -- [ ] :key: Check the `create new chat` button, and new conversation will have an automatically generated thread title based on users msg. -- [ ] Confirm that by changing `models` mid-thread the app can still handle it. -- [ ] Check the `regenerate` button renews the response (single / multiple times). -- [ ] Check the `Instructions` update correctly after the user updates it midway (mid-thread). - -### 2. Users can customize chat settings like model parameters via both the GUI & thread.json - -- [ ] Test the functionality to adjust model parameters (e.g., Temperature, Top K, Top P) from the GUI and verify they are reflected in the chat behavior. -- [ ] :key: Ensure that changes can be saved and persisted between sessions. -- [ ] Validate that users can access and modify the thread.json file. -- [ ] :key: Check that changes made in thread.json are correctly applied to the chat session upon reload or restart. -- [ ] Check the maximum and minimum limits of the adjustable parameters and how they affect the assistant's responses. -- [ ] :key: Ensure that users switch between threads with different models, the app can handle it. - -### 3. Model dropdown - -- [ ] :key: Model list should highlight recommended based on user RAM -- [ ] Model size should display (for both installed and imported models) - -### 4. Users can click on a history thread - -- [ ] Confirm that the chat window displays the entire conversation from the selected history thread without any missing messages. -- [ ] :key: Check the performance and accuracy of the history feature when dealing with a large number of threads. -- [ ] Validate that historical threads reflect the exact state of the chat at that time, including settings. -- [ ] :key: Verify the ability to delete or clean old threads. -- [ ] Confirm that changing the title of the thread updates correctly. - -### 5. Users can config instructions for the assistant. - -- [ ] Test if the instructions set by the user are being followed by the assistant in subsequent conversations. -- [ ] :key: Validate that changes to instructions are updated in real time and do not require a restart of the application or session. -- [ ] :key: Check for the ability to reset instructions to default or clear them completely. -- [ ] :key: RAG - Users can import documents and the system should process queries about the uploaded file, providing accurate and appropriate responses in the conversation thread. - -## D. Hub - -### 1. Users can discover recommended models (Jan ships with a few preconfigured model.json files) - -- [ ] :key: Ensure that each model's recommendations are consistent with the user’s activity and preferences. -- [ ] Test the functionality of any filters that refine model recommendations. - -### 2. Users can download models suitable for their devices, e.g. compatible with their RAM - -- [ ] Display the best model for their RAM at the top. -- [ ] :key: Ensure that models are labeled with RAM requirements and compatibility. -- [ ] :key: Check the download model functionality and validate if the cancel download feature works correctly. - -### 3. Users can download models via a HuggingFace URL (coming soon) - -- [ ] :key: Have the warning/status when the user enters the URL. -- [ ] :key: Check the progress bar reflects the right process. -- [ ] Validate the error handling for invalid or inaccessible URLs. - -### 4. Users can import new models to the Hub - -- [ ] :key: Ensure import successfully via drag / drop or upload GGUF. -- [ ] :key: Verify Move model binary file / Keep Original Files & Symlink option are working -- [ ] :warning: Ensure it raises clear errors for users to fix the problem while adding a new model. -- [ ] Users can add more info to the imported model / edit name -- [ ] :key: Ensure the new model updates after restarting the app. - -### 5. Users can use the model as they want - -- [ ] :key: Check `start` / `stop` / `delete` button response exactly what it does. -- [ ] Check if starting another model stops the other model entirely. -- [x] :rocket: Check the `Explore models` navigate correctly to the model panel. -- [ ] :key: Check when deleting a model it will delete all the files on the user's computer. -- [ ] :warning:The recommended tags should present right for the user's hardware. - -### 6. Users can Integrate With a Remote Server - -- [ ] :key: Import openAI GPT model https://jan.ai/guides/using-models/integrate-with-remote-server/ and the model displayed in Hub / Thread dropdown -- [ ] Users can use the remote model properly - -## E. System Monitor - -### 1. Users can see disk and RAM utilization - -- [ ] :key: Verify that the RAM and VRAM utilization graphs display accurate information. -- [ ] :key: Check that the CPU usage is accurately reported in real time. -- [ ] :key: Validate that the utilization percentages reflect the actual usage compared to the system's total available resources. -- [ ] :key: Ensure that the system monitors updates dynamically as the models run and stop. - -### 2. Users can start and stop models based on system health - -- [ ] :key: Test the 'Start' action for a model to ensure it initiates and the system resource usage reflects this change. -- [ ] :key: Verify the 'Stop' action for a model to confirm it ceases operation and frees up the system resources accordingly. -- [ ] Confirm that any changes in model status (start/stop) are logged or reported to the user for transparency. - -## F. Settings - -### 1. Appearance - -- [ ] :key: Test the `Light`, `Dark`, and `System` theme settings to ensure they are functioning as expected. -- [ ] Confirm that the application saves the theme preference and persists it across sessions. -- [ ] Validate that all elements of the UI are compatible with the theme changes and maintain legibility and contrast. - -### 2. Extensions [TBU] - -- [ ] Confirm that the `Extensions` tab lists all available plugins. -- [x] :key: Test the toggle switch for each plugin to ensure it enables or disables the plugin correctly. -- [x] Verify that plugin changes take effect without needing to restart the application unless specified. -- [x] :key: Check that the plugin's status (`Installed the latest version`) updates accurately after any changes. -- [x] Validate the `Manual Installation` process by selecting and installing a plugin file. -- [x] Test for proper error handling and user feedback when a plugin installation fails. - -### 3. Users can add custom plugins via manual installation [TBU] - -- [x] Verify that the `Manual Installation` option is clearly visible and accessible in the `Extensions` section. -- [x] Test the functionality of the `Select` button within the `Manual Installation` area. -- [x] :warning: Check that the file picker dialog allows for the correct plugin file types (e.g., .tgz). -- [x] :key: Validate that the selected plugin file installs correctly and the plugin becomes functional. -- [x] Ensure that there is a progress indicator or confirmation message once the installation is complete. -- [x] Confirm that if the installation is interrupted or fails, the user is given a clear error message. -- [x] :key: Test that the application prevents the installation of incompatible or corrupt plugin files. -- [x] :key: Check that the user can uninstall or disable custom plugins as easily as pre-installed ones. -- [x] Verify that the application's performance remains stable after the installation of custom plugins. - -### 4. Advanced settings - -- [ ] :key: Test the `Experimental Mode` toggle to confirm it enables or disables experimental features as intended. -- [ ] :key: Check the functionality of `Open App Directory` to ensure it opens the correct folder in the system file explorer. -- [ ] Users can move **Jan data folder** -- [ ] Validate that changes in advanced settings are applied immediately or provide appropriate instructions if a restart is needed. -- [ ] Attemp to test downloading model from hub using **HTTP Proxy** [guideline](https://github.com/janhq/jan/pull/1562) -- [ ] Logs that are older than 7 days or exceed 1MB in size will be automatically cleared upon starting the application. -- [ ] Users can click on Reset button to **factory reset** app settings to its original state & delete all usage data. - -## G. Local API server - -### 1. Local Server Usage with Server Options - -- [ ] :key: Explore API Reference: Swagger API for sending/receiving requests - - [ ] Use default server option - - [ ] Configure and use custom server options -- [ ] Test starting/stopping the local API server with different Model/Model settings -- [ ] Server logs captured with correct Server Options provided -- [ ] Verify functionality of Open logs/Clear feature -- [ ] Ensure that threads and other functions impacting the model are disabled while the local server is running diff --git a/docs/docs/wall-of-love.md b/docs/docs/wall-of-love.md deleted file mode 100644 index 2dda05770..000000000 --- a/docs/docs/wall-of-love.md +++ /dev/null @@ -1,110 +0,0 @@ ---- -title: Wall of Love ❤️ -slug: /wall-of-love -description: Check out what our amazing users are saying about Jan! -keywords: - [ - Jan, - Rethink the Computer, - local AI, - privacy focus, - free and open source, - private and offline, - conversational AI, - no-subscription fee, - large language models, - wall of love, - ] ---- - -## Twitter - -Check out our amazing users and what they are saying about Jan! - -
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- -Please share your love for Jan on Twitter and tag us [@janframework](https://twitter.com/janframework)! We would love to hear from you! - -## YouTube - -Watch these amazing videos to see how Jan is being used and loved by the community! - -### Run Any Chatbot FREE Locally on Your Computer - -
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- -

- -### Jan AI: Run Open Source LLM 100% Local with OpenAI endpoints - -
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- -

- -### Setup Tutorial on Jan.ai. JAN AI: Run open source LLM on local Windows PC. 100% offline LLM and AI. - -
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- -### Jan.ai: Like Offline ChatGPT on Your Computer 💡 - -
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- -### Jan: Bring AI to your Desktop With 100% Offline AI - -
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- -### AI on Your Local PC: Install JanAI (ChatGPT alternative) for Enhanced Privacy - -
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- -### Install Jan to Run LLM Offline and Local First - -
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diff --git a/docs/docusaurus.config.js b/docs/docusaurus.config.js deleted file mode 100644 index 7b74337fb..000000000 --- a/docs/docusaurus.config.js +++ /dev/null @@ -1,734 +0,0 @@ -// @ts-check -// Note: type annotations allow type checking and IDEs autocompletion -require('dotenv').config() - -const darkCodeTheme = require('prism-react-renderer/themes/dracula') -const path = require('path') - -/** @type {import('@docusaurus/types').Config} */ -const config = { - title: 'Jan | Rethink the Computer', - tagline: 'Run your own AI', - favicon: 'img/favicon.ico', - - // Set the production url of your site here - url: 'https://jan.ai', - // Set the // pathname under which your site is served - // For GitHub pages deployment, it is often '//' - baseUrl: '/', - - // GitHub pages deployment config. - // If you aren't using GitHub pages, you don't need these. - organizationName: 'janhq', // Usually your GitHub org/user name. - projectName: 'jan', // Usually your repo name. - - onBrokenLinks: 'warn', - onBrokenMarkdownLinks: 'warn', - trailingSlash: true, - // Even if you don't use internalization, you can use this field to set useful - // metadata like html lang. For example, if your site is Chinese, you may want - // to replace "en" with "zh-Hans". - i18n: { - defaultLocale: 'en', - locales: ['en'], - }, - - markdown: { - mermaid: true, - }, - - noIndex: false, - - // Plugins we added - plugins: [ - 'docusaurus-plugin-sass', - async function myPlugin(context, options) { - return { - name: 'docusaurus-tailwindcss', - configurePostCss(postcssOptions) { - // Appends TailwindCSS and AutoPrefixer. - postcssOptions.plugins.push(require('tailwindcss')) - postcssOptions.plugins.push(require('autoprefixer')) - return postcssOptions - }, - } - }, - [ - 'posthog-docusaurus', - { - apiKey: process.env.POSTHOG_PROJECT_API_KEY || 'XXX', - appUrl: process.env.POSTHOG_APP_URL || 'XXX', // optional - enableInDevelopment: false, // optional - }, - ], - [ - '@docusaurus/plugin-client-redirects', - { - redirects: [ - { - from: '/troubleshooting/failed-to-fetch', - to: '/troubleshooting/', - }, - { - from: '/guides/troubleshooting/gpu-not-used/', - to: '/troubleshooting/', - }, - { - from: '/guides/troubleshooting/', - to: '/troubleshooting/', - }, - { - from: '/troubleshooting/stuck-on-broken-build/', - to: '/troubleshooting/', - }, - { - from: '/troubleshooting/somethings-amiss/', - to: '/troubleshooting/', - }, - { - from: '/troubleshooting/how-to-get-error-logs/', - to: '/troubleshooting/', - }, - { - from: '/troubleshooting/permission-denied/', - to: '/troubleshooting/', - }, - { - from: '/troubleshooting/unexpected-token/', - to: '/troubleshooting/', - }, - { - from: '/troubleshooting/undefined-issue/', - to: '/troubleshooting/', - }, - { - from: '/install/', - to: '/guides/install/', - }, - { - from: '/guides/using-models/', - to: '/guides/models/', - }, - { - from: '/guides/using-extensions/', - to: '/extensions/', - }, - { - from: '/integrations/tensorrt', - to: '/guides/providers/tensorrt-llm', - }, - { - from: '/install/mac/', - to: '/guides/install/mac/', - }, - { - from: '/guides/using-models/integrate-with-remote-server/', - to: '/guides/engines/remote-server/', - }, - { - from: '/guides/chatting/manage-history/', - to: '/guides/threads/', - }, - { - from: '/guides/using-server/', - to: '/guides/local-api/', - }, - { - from: '/guides/using-models/customize-engine-settings/', - to: '/guides/engines/llamacpp/', - }, - { - from: '/guides/integrations/openrouter/', - to: '/integrations/openrouter/', - }, - { - from: '/docs/integrations/', - to: '/integrations/', - }, - { - from: '/docs/product/chat/', - to: '/developer/framework/product/chat/', - }, - { - from: '/install/windows/', - to: '/guides/install/windows/', - }, - { - from: '/api/overview/', - to: '/api-reference/', - }, - { - from: '/install/linux/', - to: '/guides/install/linux/', - }, - { - from: '/install/from-source/', - to: '/guides/install/#install-server-side', - }, - { - from: '/troubleshooting/gpu-not-used/', - to: '/troubleshooting/#troubleshooting-nvidia-gpu', - }, - { - from: '/guides/using-server/server/', - to: '/guides/local-api/#step-2-start-and-use-the-built-in-api-server', - }, - { - from: '/docs/integrations/openrouter/', - to: '/integrations/openrouter/', - }, - { - from: '/docs/integrations/ollama/', - to: '/guides/engines/ollama/', - }, - { - from: '/guides/using-models/install-from-hub/', - to: '/guides/models/', - }, - { - from: '/guides/integrations/continue/', - to: '/integrations/continue/', - }, - { - from: '/docs/engineering/assistants/', - to: '/developer/framework/engineering/assistants/', - }, - { - from: '/guides/install/hardware/', - to: '/guides/hardware/', - }, - { - from: '/docs/engineering/files/', - to: '/developer/framework/engineering/files/', - }, - { - from: '/features/acceleration/', - to: '/guides/advanced/#enable-the-gpu-acceleration', - }, - { - from: '/docs/extension-guides/', - to: '/extensions/', - }, - { - from: '/specs/settings/', - to: '/developer/framework/product/settings/', - }, - { - from: '/guides/using-models/import-models-using-absolute-filepath/', - to: '/guides/models/', - }, - { - from: '/install/docker/', - to: '/guides/install/server/', - }, - { - from: '/guides/using-models/import-manually/', - to: '/guides/models/', - }, - { - from: '/v1/models', - to: '/guides/models/', - }, - { - from: '/docs/team/contributor-program/', - to: '/team/contributor-program/', - }, - { - from: '/guides/installation/hardware/', - to: '/guides/hardware/', - }, - { - from: '/guides/chatting/start-thread/', - to: '/guides/threads/', - }, - { - from: '/api/files/', - to: '/developer/framework/engineering/files/#file-api', - }, - { - from: '/specs/threads/', - to: '/developer/framework/engineering/threads/', - }, - { - from: '/guides/using-models/customize-models/', - to: '/guides/models/', - }, - { - from: '/docs/modules/models/', - to: '/guides/models/', - }, - { - from: '/developer/build-extension/package-your-assistant/', - to: '/developer/extension/package-your-extension/', - }, - { - from: '/getting-started/install/linux/', - to: '/guides/install/linux/', - }, - { - from: '/features/extensions', - to: '/extensions/', - }, - { - from: '/specs/chats/', - to: '/developer/framework/engineering/chats/', - }, - { - from: '/specs/engine/', - to: '/developer/framework/engineering/engine/', - }, - { - from: '/docs/extension-capabilities/', - to: '/extensions/', - }, - { - from: '/docs/get-started/use-local-server/', - to: '/guides/local-api/', - }, - { - from: '/guides/how-jan-works/', - to: '/guides/', - }, - { - from: '/guides/windows/', - to: '/guides/install/windows/', - }, - { - from: '/specs/', - to: '/developer/framework/', - }, - { - from: '/docs/get-started/build-extension/', - to: '/developer/extension/', - }, - { - from: '/specs/files/', - to: '/developer/framework/engineering/files/', - }, - { - from: '/guides/using-models/package-models/', - to: '/guides/models/', - }, - { - from: '/install/overview/', - to: '/guides/install/', - }, - { - from: '/docs/get-started/extension-anatomy/', - to: '/developer/extension/extension-anatomy/', - }, - { - from: '/docs/get-started/', - to: '/guides/', - }, - { - from: '/guides/mac/', - to: '/guides/install/mac/', - }, - { - from: '/specs/fine-tuning/', - to: '/developer/framework/engineering/fine-tuning/', - }, - { - from: '/guides/server/', - to: '/guides/local-api/', - }, - { - from: '/specs/file-based/', - to: '/developer/file-based/', - }, - { - from: '/developers/', - to: '/developer/', - }, - { - from: '/api/', - to: '/api-reference/', - }, - { - from: '/products/desktop', - to: '/desktop/', - }, - { - from: '/developers/plugins/azure-openai', - to: '/guides/engines/openai/', - }, - { - from: '/getting-started/install/mac', - to: '/guides/install/mac/', - }, - { - from: '/guides/fine-tuning/what-models-can-be-fine-tuned', - to: '/developer/framework/engineering/fine-tuning/', - }, - { - from: '/guides/linux/', - to: '/guides/install/linux/', - }, - { - from: '/docs/specs/threads', - to: '/developer/framework/engineering/threads/', - }, - { - from: '/docs/api-reference/models/list', - to: '/api-reference#tag/models/get/models', - }, - { - from: '/docs/api-reference/threads', - to: '/api-reference/#tag/chat/post/chat/completions', - }, - { - from: '/getting-started/troubleshooting', - to: '/troubleshooting/', - }, - { - from: '/getting-started/install/windows', - to: '/guides/install/windows/', - }, - { - from: '/docs/api-reference/messages', - to: '/api-reference#tag/messages/get/threads/{thread_id}/messages', - }, - { - from: '/docs/modules/chats', - to: '/developer/framework/engineering/chats/', - }, - { - from: '/docs/specs/chats', - to: '/developer/framework/engineering/chats/', - }, - { - from: '/docs/api-reference/assistants', - to: '/api-reference/#tag/assistants/get/assistants', - }, - { - from: '/docs/modules/files', - to: '/developer/framework/engineering/files/', - }, - { - from: '/features/ai-models', - to: '/guides/models/', - }, - { - from: '/docs/specs/models', - to: '/developer/framework/engineering/models/', - }, - { - from: '/docs/models/overview', - to: '/developer/framework/engineering/models/', - }, - { - from: '/docs/api-reference/models', - to: '/api-reference#tag/models/get/models', - }, - { - from: '/docs/guides/fine-tuning', - to: '/developer/framework/engineering/fine-tuning/', - }, - { - from: '/docs/specs/files', - to: '/developer/framework/engineering/files/', - }, - { - from: '/docs/modules/threads', - to: '/developer/framework/engineering/threads/', - }, - { - from: '/hardware/examples/3090x1-@dan-jan', - to: '/guides/hardware/', - }, - { - from: '/chat', - to: '/guides/threads/', - }, - { - from: '/docs/modules/assistants', - to: '/developer/assistant/', - }, - ], - }, - ], - - //To input custom Plugin - path.resolve(__dirname, 'plugins', 'changelog-plugin'), - [ - '@scalar/docusaurus', - { - label: '', - route: '/api-reference', - configuration: { - spec: { - url: 'https://raw.githubusercontent.com/janhq/jan/dev/docs/openapi/jan.json', - }, - }, - }, - ], - ], - - // The classic preset will relay each option entry to the respective sub plugin/theme. - presets: [ - [ - '@docusaurus/preset-classic', - { - // Will be passed to @docusaurus/plugin-content-docs (false to disable) - docs: { - routeBasePath: '/', - sidebarPath: require.resolve('./sidebars.js'), - editUrl: 'https://github.com/janhq/jan/tree/dev/docs', - showLastUpdateAuthor: true, - showLastUpdateTime: true, - }, - // Will be passed to @docusaurus/plugin-content-sitemap (false to disable) - sitemap: { - changefreq: 'daily', - priority: 1.0, - ignorePatterns: ['/tags/**'], - filename: 'sitemap.xml', - }, - // Will be passed to @docusaurus/plugin-content-blog (false to disable) - blog: { - blogSidebarTitle: 'All Posts', - blogSidebarCount: 'ALL', - }, - // Will be passed to @docusaurus/theme-classic. - theme: { - customCss: require.resolve('./src/styles/main.scss'), - }, - // GTM is always inactive in development and only active in production to avoid polluting the analytics statistics. - googleTagManager: { - containerId: process.env.GTM_ID || 'XXX', - }, - // Will be passed to @docusaurus/plugin-content-pages (false to disable) - // pages: {}, - }, - ], - // Redoc preset - [ - 'redocusaurus', - { - specs: [ - { - spec: 'openapi/jan.yaml', // can be local file, url, or parsed json object - route: '/api-reference-1.0/', // path where to render docs - }, - ], - theme: { - primaryColor: '#1a73e8', - primaryColorDark: '#1a73e8', - options: { - requiredPropsFirst: true, - noAutoAuth: true, - hideDownloadButton: true, - }, - }, - }, - ], - ], - - // Docs: https://docusaurus.io/docs/api/themes/configuration - themeConfig: { - image: 'img/og-image.png', - // Only for react live - liveCodeBlock: { - playgroundPosition: 'bottom', - }, - docs: { - sidebar: { - hideable: true, - autoCollapseCategories: false, - }, - }, - // Algolia Search Configuration - algolia: { - appId: process.env.ALGOLIA_APP_ID || 'XXX', - apiKey: process.env.ALGOLIA_API_KEY || 'XXX', - indexName: 'jan_docs', - contextualSearch: true, - insights: true, - }, - // SEO Docusarus - metadata: [ - { - name: 'description', - content: `Jan turns your computer into an AI machine by running LLMs locally on your computer. It's a privacy-focus, local-first, open-source solution.`, - }, - { - name: 'keywords', - content: - 'Jan, Rethink the Computer, local AI, privacy focus, free and open source, private and offline, conversational AI, no-subscription fee, large language models', - }, - { name: 'robots', content: 'index, follow' }, - { - property: 'og:title', - content: 'Jan | Rethink the Computer', - }, - { - property: 'og:description', - content: `Jan turns your computer into an AI machine by running LLMs locally on your computer. It's a privacy-focus, local-first, open-source solution.`, - }, - { - property: 'og:image', - content: 'https://jan.ai/img/og-image.png', - }, - { property: 'og:type', content: 'website' }, - { property: 'twitter:card', content: 'summary_large_image' }, - { property: 'twitter:site', content: '@janframework' }, - { - property: 'twitter:title', - content: 'Jan | Rethink the Computer', - }, - { - property: 'twitter:description', - content: `Jan turns your computer into an AI machine by running LLMs locally on your computer. It's a privacy-focus, local-first, open-source solution.`, - }, - { - property: 'twitter:image', - content: 'https://jan.ai/img/og-image.png', - }, - ], - headTags: [ - // Declare a preconnect tag - { - tagName: 'link', - attributes: { - rel: 'preconnect', - href: 'https://jan.ai/', - }, - }, - // Declare some json-ld structured data - { - tagName: 'script', - attributes: { - type: 'application/ld+json', - }, - innerHTML: JSON.stringify({ - '@context': 'https://schema.org/', - '@type': 'Organization', - name: 'Jan', - url: 'https://jan.ai/', - logo: 'https://jan.ai/img/og-image.png', - }), - }, - ], - navbar: { - title: 'Jan', - logo: { - alt: 'Jan Logo', - src: 'img/logo.svg', - }, - items: [ - // Navbar Left - // { - // type: "docSidebar", - // sidebarId: "aboutSidebar", - // position: "left", - // label: "About", - // }, - { - type: 'dropdown', - label: 'About', - position: 'left', - items: [ - { - type: 'doc', - label: 'What is Jan?', - docId: 'about/about', - }, - { - type: 'doc', - label: 'Who we are', - docId: 'team/team', - }, - { - type: 'doc', - label: 'Wall of love', - docId: 'wall-of-love', - }, - ], - }, - { - type: 'docSidebar', - sidebarId: 'productSidebar', - positionL: 'left', - label: 'Product', - }, - { - type: 'docSidebar', - sidebarId: 'ecosystemSidebar', - position: 'left', - label: 'Ecosystem', - }, - { - to: 'download', - position: 'left', - label: 'Download', - }, - // { - // type: "docSidebar", - // sidebarId: "pricingSidebar", - // positionl: "left", - // label: "Pricing", - // }, - // Navbar right - { - type: 'dropdown', - label: 'Docs', - to: 'docs', - position: 'right', - items: [ - { - type: 'docSidebar', - sidebarId: 'guidesSidebar', - label: 'Guides', - }, - { - type: 'docSidebar', - sidebarId: 'developerSidebar', - label: 'Developer', - }, - { - to: '/api-reference', - label: 'API Reference', - }, - { - type: 'docSidebar', - sidebarId: 'releasesSidebar', - label: 'Changelog', - }, - // { - // type: "docSidebar", - // sidebarId: "docsSidebar", - // label: "Framework", - // }, - ], - }, - { - to: 'blog', - label: 'Blog', - position: 'right', - }, - ], - }, - prism: { - theme: darkCodeTheme, - darkTheme: darkCodeTheme, - additionalLanguages: [ - 'python', - 'powershell', - 'bash', - 'json', - 'javascript', - 'jsx', - ], - }, - colorMode: { - defaultMode: 'light', - disableSwitch: false, - respectPrefersColorScheme: false, - }, - }, - - themes: ['@docusaurus/theme-live-codeblock', '@docusaurus/theme-mermaid'], -} - -module.exports = config diff --git a/docs/openapi/jan.json b/docs/openapi/jan.json deleted file mode 100644 index 5cca59813..000000000 --- a/docs/openapi/jan.json +++ /dev/null @@ -1,2486 +0,0 @@ -{ - "openapi": "3.0.0", - "info": { - "title": "API Reference", - "description": "# Introduction\nJan API is compatible with the [OpenAI API](https://platform.openai.com/docs/api-reference).\n", - "version": "0.1.8", - "contact": { - "name": "Jan Discord", - "url": "https://discord.gg/7EcEz7MrvA" - }, - "license": { - "name": "AGPLv3", - "url": "https://github.com/janhq/nitro/blob/main/LICENSE" - } - }, - "servers": [ - { - "url": "http://localhost:1337/v1" - } - ], - "tags": [ - { - "name": "Models", - "description": "List and describe the various models available in the API." - }, - { - "name": "Chat", - "description": "Given a list of messages comprising a conversation, the model will return a response.\n" - }, - { - "name": "Messages", - "description": "Messages capture a conversation's content. This can include the content from LLM responses and other metadata from [chat completions](/specs/chats).\n" - }, - { - "name": "Threads" - }, - { - "name": "Assistants", - "description": "Configures and utilizes different AI assistants for varied tasks" - } - ], - "x-tagGroups": [ - { - "name": "Endpoints", - "tags": [ - "Models", - "Chat" - ] - }, - { - "name": "Chat", - "tags": [ - "Assistants", - "Messages", - "Threads" - ] - } - ], - "paths": { - "/chat/completions": { - "post": { - "operationId": "createChatCompletion", - "tags": [ - "Chat" - ], - "summary": "Create chat completion\n", - "description": "Creates a model response for the given chat conversation. Equivalent to OpenAI's create chat completion. \n", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ChatCompletionRequest" - } - } - } - }, - "responses": { - "200": { - "description": "OK", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ChatCompletionResponse" - } - } - } - } - } - } - }, - "/models": { - "get": { - "operationId": "listModels", - "tags": [ - "Models" - ], - "summary": "List models", - "description": "Lists the currently available models, and provides basic information about each one such as the owner and availability. Equivalent to OpenAI's list model. \n", - "responses": { - "200": { - "description": "OK", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListModelsResponse" - } - } - } - } - } - } - }, - "/models/download/{model_id}": { - "get": { - "operationId": "downloadModel", - "tags": [ - "Models" - ], - "summary": "Download a specific model.", - "description": "Download a model.\n", - "parameters": [ - { - "in": "path", - "name": "model_id", - "required": true, - "schema": { - "type": "string", - "example": "mistral-ins-7b-q4" - }, - "description": "The ID of the model to use for this request.\n" - } - ], - "responses": { - "200": { - "description": "OK", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/DownloadModelResponse" - } - } - } - } - } - } - }, - "/models/{model_id}": { - "get": { - "operationId": "retrieveModel", - "tags": [ - "Models" - ], - "summary": "Retrieve model", - "description": "Get a model instance, providing basic information about the model such as the owner and permissioning. Equivalent to OpenAI's retrieve model. \n", - "parameters": [ - { - "in": "path", - "name": "model_id", - "required": true, - "schema": { - "type": "string", - "example": "mistral-ins-7b-q4" - }, - "description": "The ID of the model to use for this request.\n" - } - ], - "responses": { - "200": { - "description": "OK", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GetModelResponse" - } - } - } - } - } - }, - "delete": { - "operationId": "deleteModel", - "tags": [ - "Models" - ], - "summary": "Delete model", - "description": "Delete a model. Equivalent to OpenAI's delete model. \n", - "parameters": [ - { - "in": "path", - "name": "model_id", - "required": true, - "schema": { - "type": "string", - "example": "mistral-ins-7b-q4" - }, - "description": "The model id to delete\n" - } - ], - "responses": { - "200": { - "description": "OK", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/DeleteModelResponse" - } - } - } - } - } - } - }, - "/threads": { - "post": { - "operationId": "createThread", - "tags": [ - "Threads" - ], - "summary": "Create thread", - "description": "Create a thread. Equivalent to OpenAI's create thread. \n", - "requestBody": { - "required": false, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CreateThreadObject" - } - } - } - }, - "responses": { - "200": { - "description": "Thread created successfully", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CreateThreadResponse" - } - } - } - } - } - }, - "get": { - "operationId": "listThreads", - "tags": [ - "Threads" - ], - "summary": "List threads", - "description": "Retrieves a list of all threads available in the system.\n", - "responses": { - "200": { - "description": "List of threads retrieved successfully", - "content": { - "application/json": { - "schema": { - "type": "array", - "items": { - "$ref": "#/components/schemas/ThreadObject" - }, - "example": [ - { - "id": "thread_abc123", - "object": "thread", - "created_at": 1699014083, - "assistants": [ - "assistant-001" - ], - "metadata": {}, - "messages": [] - }, - { - "id": "thread_abc456", - "object": "thread", - "created_at": 1699014083, - "assistants": [ - "assistant-002", - "assistant-003" - ], - "metadata": {} - } - ] - } - } - } - } - } - } - }, - "/threads/{thread_id}": { - "get": { - "operationId": "getThread", - "tags": [ - "Threads" - ], - "summary": "Retrieve thread", - "description": "Retrieves detailed information about a specific thread using its thread_id. Equivalent to OpenAI's retrieve thread. \n", - "parameters": [ - { - "in": "path", - "name": "thread_id", - "required": true, - "schema": { - "type": "string" - }, - "description": "The ID of the thread to retrieve.\n" - } - ], - "responses": { - "200": { - "description": "Thread details retrieved successfully", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GetThreadResponse" - } - } - } - } - } - }, - "patch": { - "operationId": "modifyThread", - "tags": [ - "Threads" - ], - "summary": "Modify thread", - "description": "Modifies a thread. Equivalent to OpenAI's modify thread. \n", - "parameters": [ - { - "in": "path", - "name": "thread_id", - "required": true, - "schema": { - "type": "string" - }, - "description": "The ID of the thread to be modified.\n" - } - ], - "requestBody": { - "required": true, - "content": { - "application/json": { - "schema": { - "type": "object", - "properties": { - "title": { - "type": "string", - "description": "Set the title of the thread", - "items": { - "$ref": "#/components/schemas/ThreadMessageObject" - } - } - } - } - } - } - }, - "responses": { - "200": { - "description": "Thread modified successfully", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ModifyThreadResponse" - } - } - } - } - } - }, - "delete": { - "operationId": "deleteThread", - "tags": [ - "Threads" - ], - "summary": "Delete thread", - "description": "Delete a thread. Equivalent to OpenAI's delete thread. \n", - "parameters": [ - { - "in": "path", - "name": "thread_id", - "required": true, - "schema": { - "type": "string" - }, - "description": "The ID of the thread to be deleted.\n" - } - ], - "responses": { - "200": { - "description": "Thread deleted successfully", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/DeleteThreadResponse" - } - } - } - } - } - } - }, - "/assistants": { - "get": { - "operationId": "listAssistants", - "tags": [ - "Assistants" - ], - "summary": "List assistants", - "description": "Return a list of assistants. Equivalent to OpenAI's list assistants. \n", - "responses": { - "200": { - "description": "List of assistants retrieved successfully", - "content": { - "application/json": { - "schema": { - "type": "array", - "items": { - "type": "object", - "properties": { - "id": { - "type": "string" - }, - "object": { - "type": "string" - }, - "version": { - "type": "integer" - }, - "created_at": { - "type": "integer" - }, - "name": { - "type": "string" - }, - "description": { - "type": "string" - }, - "avatar": { - "type": "string", - "format": "uri" - }, - "models": { - "type": "array", - "items": { - "type": "object", - "properties": { - "model_id": { - "type": "string" - } - } - } - }, - "instructions": { - "type": "string" - }, - "events": { - "type": "object", - "properties": { - "in": { - "type": "array", - "items": {} - }, - "out": { - "type": "array", - "items": {} - } - } - }, - "metadata": { - "type": "object" - }, - "x-codeSamples": { - "type": "object", - "properties": { - "cURL": { - "type": "object", - "properties": { - "lang": { - "type": "string", - "example": "cURL" - }, - "source": { - "type": "string", - "example": "curl http://localhost:1337/v1/assistants \\\n -H \"Content-Type: application/json\"\n" - } - } - }, - "JavaScript": { - "type": "object", - "properties": { - "lang": { - "type": "string", - "example": "JavaScript" - }, - "source": { - "type": "string", - "example": "fetch('http://localhost:1337/v1/assistants', {\n method: 'GET',\n headers: {\n 'Content-Type': 'application/json'\n }\n})\n" - } - } - }, - "Node.js": { - "type": "object", - "properties": { - "lang": { - "type": "string", - "example": "Node.js" - }, - "source": { - "type": "string", - "example": "const fetch = require('node-fetch');\n\nfetch('http://localhost:1337/v1/assistants', {\n method: 'GET',\n headers: {\n 'Content-Type': 'application/json'\n }\n})\n" - } - } - }, - "Python": { - "type": "object", - "properties": { - "lang": { - "type": "string", - "example": "Python" - }, - "source": { - "type": "string", - "example": "import requests\n\nurl = 'http://localhost:1337/v1/assistants'\nheaders = {'Content-Type': 'application/json'}\n\nresponse = requests.get(url, headers=headers)\n" - } - } - } - } - } - } - } - } - } - } - } - } - } - }, - "/assistants/{assistant_id}": { - "get": { - "operationId": "getAssistant", - "tags": [ - "Assistants" - ], - "summary": "Retrieve assistant", - "description": "Retrieves an assistant. Equivalent to OpenAI's retrieve assistants. \n", - "parameters": [ - { - "in": "path", - "name": "assistant_id", - "required": true, - "schema": { - "type": "string", - "example": "jan" - }, - "description": "The ID of the assistant to retrieve.\n" - } - ], - "responses": { - "200": { - "description": "string", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/RetrieveAssistantResponse" - } - } - } - } - } - } - }, - "/threads/{thread_id}/messages": { - "get": { - "operationId": "listMessages", - "tags": [ - "Messages" - ], - "summary": "List messages", - "description": "Retrieves all messages from the given thread. Equivalent to OpenAI's list messages. \n", - "parameters": [ - { - "in": "path", - "name": "thread_id", - "required": true, - "schema": { - "type": "string" - }, - "description": "The ID of the thread from which to retrieve messages.\n" - } - ], - "responses": { - "200": { - "description": "List of messages retrieved successfully", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListMessagesResponse" - } - } - } - } - } - }, - "post": { - "operationId": "createMessage", - "tags": [ - "Messages" - ], - "summary": "Create message", - "description": "Create a message. Equivalent to OpenAI's list messages. \n", - "parameters": [ - { - "in": "path", - "name": "thread_id", - "required": true, - "schema": { - "type": "string" - }, - "description": "The ID of the thread to which the message will be posted.\n" - } - ], - "requestBody": { - "required": true, - "content": { - "application/json": { - "schema": { - "type": "object", - "properties": { - "role": { - "type": "string", - "description": "Role of the sender, either 'user' or 'assistant'.\n", - "example": "user", - "enum": [ - "user", - "assistant" - ] - }, - "content": { - "type": "string", - "description": "Text content of the message.\n", - "example": "How does AI work? Explain it in simple terms." - } - }, - "required": [ - "role", - "content" - ] - } - } - } - }, - "responses": { - "200": { - "description": "Message created successfully", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CreateMessageResponse" - } - } - } - } - } - } - }, - "/threads/{thread_id}/messages/{message_id}": { - "get": { - "operationId": "retrieveMessage", - "tags": [ - "Messages" - ], - "summary": "Retrieve message", - "description": "Retrieve a specific message from a thread using its thread_id and message_id. Equivalent to OpenAI's retrieve messages. \n", - "parameters": [ - { - "in": "path", - "name": "thread_id", - "required": true, - "schema": { - "type": "string" - }, - "description": "The ID of the thread containing the message.\n" - }, - { - "in": "path", - "name": "message_id", - "required": true, - "schema": { - "type": "string" - }, - "description": "The ID of the message to retrieve.\n" - } - ], - "responses": { - "200": { - "description": "OK", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GetMessageResponse" - } - } - } - } - } - } - } - }, - "x-webhooks": { - "ModelObject": { - "post": { - "summary": "The model object", - "description": "Describe a model offering that can be used with the API. Equivalent to OpenAI's model object. \n", - "operationId": "ModelObject", - "tags": [ - "Models" - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ModelObject" - } - } - } - } - } - }, - "AssistantObject": { - "post": { - "summary": "The assistant object", - "description": "Build assistants that can call models and use tools to perform tasks. Equivalent to OpenAI's assistants object. \n", - "operationId": "AssistantObjects", - "tags": [ - "Assistants" - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/AssistantObject" - } - } - } - } - } - }, - "MessageObject": { - "post": { - "summary": "The message object", - "description": "Information about a message in the thread. Equivalent to OpenAI's message object. \n", - "operationId": "MessageObject", - "tags": [ - "Messages" - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": null - } - } - } - } - } - }, - "ThreadObject": { - "post": { - "summary": "The thread object", - "description": "Represents a thread that contains messages. Equivalent to OpenAI's thread object. ", - "operationId": "ThreadObject", - "tags": [ - "Threads" - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": null - } - } - } - } - } - } - }, - "components": { - "schemas": { - "ThreadObject": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "The identifier of the thread, defaults to foldername.\n", - "example": "thread_...." - }, - "object": { - "type": "string", - "description": "Type of the object, defaults to thread.\n", - "example": "thread" - }, - "title": { - "type": "string", - "description": "A brief summary or description of the thread, defaults to an empty string.\n", - "example": "funny physics joke" - }, - "assistants": { - "type": "array", - "description": "", - "items": { - "properties": { - "assistant_id": { - "type": "string", - "description": "The identifier of assistant, defaults to \"jan\"\n", - "example": "jan" - }, - "model": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "", - "example": "..." - }, - "settings": { - "type": "object", - "description": "Defaults to and overrides assistant.json's \"settings\" (and if none, then model.json \"settings\")\n" - }, - "parameters": { - "type": "object", - "description": "Defaults to and overrides assistant.json's \"parameters\" (and if none, then model.json \"parameters\")\n" - } - } - } - } - } - }, - "created": { - "type": "integer", - "format": "int64", - "description": "Unix timestamp representing the creation time of the thread, defaults to file creation time.\n", - "example": 1231231 - }, - "metadata": { - "type": "object", - "description": "Metadata associated with the thread, defaults to an empty object.\n", - "example": {} - } - } - }, - "GetThreadResponse": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "The identifier of the thread.", - "example": "thread_abc123" - }, - "object": { - "type": "string", - "description": "Type of the object", - "example": "thread" - }, - "created_at": { - "type": "integer", - "format": "int64", - "description": "Unix timestamp representing the creation time of the thread.", - "example": 1699014083 - }, - "assistants": { - "type": "array", - "items": { - "type": "string" - }, - "description": "List of assistants involved in the thread.", - "example": [ - "assistant-001" - ] - }, - "metadata": { - "type": "object", - "description": "Metadata associated with the thread.", - "example": {} - }, - "messages": { - "type": "array", - "items": { - "type": "string" - }, - "description": "List of messages within the thread.", - "example": [] - } - } - }, - "CreateThreadResponse": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "The identifier of the newly created thread.", - "example": "thread_abc123" - }, - "object": { - "type": "string", - "description": "Type of the object, indicating it's a thread.", - "example": "thread" - }, - "created_at": { - "type": "integer", - "format": "int64", - "description": "Unix timestamp representing the creation time of the thread.", - "example": 1699014083 - }, - "metadata": { - "type": "object", - "description": "Metadata associated with the newly created thread.", - "example": {} - } - } - }, - "CreateThreadObject": { - "type": "object", - "properties": { - "object": { - "type": "string", - "description": "Type of the object, indicating it's a thread.", - "example": "thread" - }, - "title": { - "type": "string", - "description": "A brief summary or description of the thread, defaults to an empty string.\n", - "example": "funny physics joke" - }, - "assistants": { - "type": "array", - "description": "assistant involved in the thread", - "items": { - "properties": { - "assistant_id": { - "type": "string", - "description": "The identifier of assistant, defaults to \"jan\"\n", - "example": "jan" - }, - "assistant_name": { - "type": "string", - "description": "The name of assistant, defaults to \"Jan\"\n", - "example": "Jan" - }, - "instructions": { - "type": "string", - "description": "The instruction of assistant, defaults to \"Be my grammar corrector\"\n" - }, - "model": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "Model id", - "example": "mistral-ins-7b-q4" - }, - "settings": { - "type": "object", - "description": "Defaults to and overrides assistant.json's \"settings\" (and if none, then model.json \"settings\")\n" - }, - "parameters": { - "type": "object", - "description": "Defaults to and overrides assistant.json's \"parameters\" (and if none, then model.json \"parameters\")\n" - }, - "engine": { - "type": "string", - "description": "Engine id", - "example": "nitro" - } - } - } - } - } - }, - "metadata": { - "type": "object", - "description": "Metadata associated with the thread, defaults to an empty object.\n" - } - } - }, - "ThreadMessageObject": { - "type": "object", - "properties": { - "role": { - "type": "string", - "description": "\"Role of the sender, either 'user' or 'assistant'.\"\n", - "enum": [ - "user", - "assistant" - ] - }, - "content": { - "type": "string", - "description": "\"Text content of the message.\"\n" - }, - "file_ids": { - "type": "array", - "items": { - "type": "string" - }, - "description": "\"Array of file IDs associated with the message, if any.\"\n" - } - } - }, - "ModifyThreadResponse": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "\"The identifier of the modified thread.\"\n", - "example": "thread_abc123" - }, - "object": { - "type": "string", - "description": "Type of the object, indicating it's a thread.", - "example": "thread" - }, - "created_at": { - "type": "integer", - "format": "int64", - "description": "Unix timestamp representing the creation time of the thread.", - "example": 1699014083 - }, - "metadata": { - "type": "object", - "description": "Metadata associated with the modified thread.", - "example": {} - } - } - }, - "DeleteThreadResponse": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "The identifier of the deleted thread.", - "example": "thread_abc123" - }, - "object": { - "type": "string", - "description": "Type of the object, indicating the thread has been deleted.", - "example": "thread.deleted" - }, - "deleted": { - "type": "boolean", - "description": "Indicates whether the thread was successfully deleted.", - "example": true - } - } - }, - "ListModelsResponse": { - "type": "object", - "properties": { - "object": { - "type": "string", - "enum": [ - "list" - ] - }, - "data": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Model" - } - } - }, - "required": [ - "object", - "data" - ] - }, - "Model": { - "type": "object", - "properties": { - "source_url": { - "type": "string", - "format": "uri", - "description": "URL to the source of the model.", - "example": "https://huggingface.co/janhq/trinity-v1.2-GGUF/resolve/main/trinity-v1.2.Q4_K_M.gguf" - }, - "id": { - "type": "string", - "description": "Unique identifier used in chat-completions model_name, matches folder name.", - "example": "trinity-v1.2-7b" - }, - "object": { - "type": "string", - "example": "model" - }, - "name": { - "type": "string", - "description": "Name of the model.", - "example": "Trinity-v1.2 7B Q4" - }, - "version": { - "type": "string", - "default": "1.0", - "description": "The version number of the model." - }, - "description": { - "type": "string", - "description": "Description of the model.", - "example": "Trinity is an experimental model merge using the Slerp method. Recommended for daily assistance purposes." - }, - "format": { - "type": "string", - "description": "State format of the model, distinct from the engine.", - "example": "gguf" - }, - "settings": { - "type": "object", - "properties": { - "ctx_len": { - "type": "integer", - "description": "Context length.", - "example": 4096 - }, - "prompt_template": { - "type": "string", - "example": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant" - } - }, - "additionalProperties": false - }, - "parameters": { - "type": "object", - "properties": { - "temperature": { - "example": 0.7 - }, - "top_p": { - "example": 0.95 - }, - "stream": { - "example": true - }, - "max_tokens": { - "example": 4096 - }, - "stop": { - "example": [] - }, - "frequency_penalty": { - "example": 0 - }, - "presence_penalty": { - "example": 0 - } - }, - "additionalProperties": false - }, - "metadata": { - "type": "object", - "properties": { - "author": { - "type": "string", - "example": "Jan" - }, - "tags": { - "type": "array", - "items": { - "type": "string" - }, - "example": [ - "7B", - "Merged", - "Featured" - ] - }, - "size": { - "type": "integer", - "example": 4370000000 - }, - "cover": { - "type": "string", - "format": "uri", - "example": "https://raw.githubusercontent.com/janhq/jan/main/models/trinity-v1.2-7b/cover.png" - } - }, - "additionalProperties": false - }, - "engine": { - "example": "nitro" - } - } - }, - "ModelObject": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "The identifier of the model.\n", - "example": "trinity-v1.2-7b" - }, - "object": { - "type": "string", - "description": "The type of the object, indicating it's a model.\n", - "default": "model" - }, - "created": { - "type": "integer", - "format": "int64", - "description": "Unix timestamp representing the creation time of the model.\n", - "example": 1253935178 - }, - "owned_by": { - "type": "string", - "description": "The entity that owns the model.\n", - "example": "_" - } - } - }, - "GetModelResponse": { - "type": "object", - "properties": { - "source_url": { - "type": "string", - "format": "uri", - "description": "URL to the source of the model.", - "example": "https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GGUF/resolve/main/mistral-7b-instruct-v0.2.Q4_K_M.gguf" - }, - "id": { - "type": "string", - "description": "Unique identifier used in chat-completions model_name, matches folder name.", - "example": "mistral-ins-7b-q4" - }, - "object": { - "type": "string", - "example": "model" - }, - "name": { - "type": "string", - "description": "Name of the model.", - "example": "Mistral Instruct 7B Q4" - }, - "version": { - "type": "string", - "default": "1.0", - "description": "The version number of the model." - }, - "description": { - "type": "string", - "description": "Description of the model.", - "example": "Trinity is an experimental model merge using the Slerp method. Recommended for daily assistance purposes." - }, - "format": { - "type": "string", - "description": "State format of the model, distinct from the engine.", - "example": "gguf" - }, - "settings": { - "type": "object", - "properties": { - "ctx_len": { - "type": "integer", - "description": "Context length.", - "example": 4096 - }, - "prompt_template": { - "type": "string", - "example": "[INST] {prompt} [/INST]" - } - }, - "additionalProperties": false - }, - "parameters": { - "type": "object", - "properties": { - "temperature": { - "example": 0.7 - }, - "top_p": { - "example": 0.95 - }, - "stream": { - "example": true - }, - "max_tokens": { - "example": 4096 - }, - "stop": { - "example": [] - }, - "frequency_penalty": { - "example": 0 - }, - "presence_penalty": { - "example": 0 - } - }, - "additionalProperties": false - }, - "metadata": { - "type": "object", - "properties": { - "author": { - "type": "string", - "example": "MistralAI" - }, - "tags": { - "type": "array", - "items": { - "type": "string" - }, - "example": [ - "7B", - "Featured", - "Foundation Model" - ] - }, - "size": { - "example": 4370000000, - "type": "integer" - }, - "cover": { - "example": "https://raw.githubusercontent.com/janhq/jan/main/models/mistral-ins-7b-q4/cover.png", - "type": "string" - } - }, - "additionalProperties": false - }, - "engine": { - "example": "nitro" - } - } - }, - "DeleteModelResponse": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "The identifier of the model that was deleted.", - "example": "mistral-ins-7b-q4" - }, - "object": { - "type": "string", - "description": "Type of the object, indicating it's a model.", - "default": "model" - }, - "deleted": { - "type": "boolean", - "description": "Indicates whether the model was successfully deleted.", - "example": true - } - } - }, - "StartModelResponse": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "The identifier of the model that was started.", - "example": "model-zephyr-7B" - }, - "object": { - "type": "string", - "description": "Type of the object, indicating it's a model.", - "default": "model" - }, - "state": { - "type": "string", - "description": "The current state of the model after the start operation.", - "example": "running" - } - }, - "required": [ - "id", - "object", - "state" - ] - }, - "StopModelResponse": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "The identifier of the model that was started.", - "example": "model-zephyr-7B" - }, - "object": { - "type": "string", - "description": "Type of the object, indicating it's a model.", - "default": "model" - }, - "state": { - "type": "string", - "description": "The current state of the model after the start operation.", - "example": "stopped" - } - }, - "required": [ - "id", - "object", - "state" - ] - }, - "DownloadModelResponse": { - "type": "object", - "properties": { - "message": { - "type": "string", - "description": "Message indicates Jan starting download corresponding model.", - "example": "Starting download mistral-ins-7b-q4" - } - } - }, - "MessageObject": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "Sequential or UUID identifier of the message.\n", - "example": 0 - }, - "object": { - "type": "string", - "description": "Type of the object, defaults to 'thread.message'.\n", - "example": "thread.message" - }, - "created_at": { - "type": "integer", - "format": "int64", - "description": "Unix timestamp representing the creation time of the message.\n" - }, - "thread_id": { - "type": "string", - "description": "Identifier of the thread to which this message belongs. Defaults to parent thread.\n", - "example": "thread_asdf" - }, - "assistant_id": { - "type": "string", - "description": "Identifier of the assistant involved in the message. Defaults to parent thread.\n", - "example": "jan" - }, - "role": { - "type": "string", - "enum": [ - "user", - "assistant" - ], - "description": "Role of the sender, either 'user' or 'assistant'.\n" - }, - "content": { - "type": "array", - "items": { - "type": "object", - "properties": { - "type": { - "type": "string", - "description": "Type of content, e.g., 'text'.\n" - }, - "text": { - "type": "object", - "properties": { - "value": { - "type": "string", - "description": "Text content of the message.\n", - "example": "Hi!?" - }, - "annotations": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Annotations for the text content, if any.\n", - "example": [] - } - } - } - } - } - }, - "metadata": { - "type": "object", - "description": "Metadata associated with the message, defaults to an empty object.\n", - "example": {} - } - } - }, - "GetMessageResponse": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "The identifier of the message.", - "example": "msg_abc123" - }, - "object": { - "type": "string", - "description": "Type of the object, indicating it's a thread message.", - "default": "thread.message" - }, - "created_at": { - "type": "integer", - "format": "int64", - "description": "Unix timestamp representing the creation time of the message.", - "example": 1699017614 - }, - "thread_id": { - "type": "string", - "description": "Identifier of the thread to which this message belongs.", - "example": "thread_abc123" - }, - "role": { - "type": "string", - "description": "Role of the sender, either 'user' or 'assistant'.", - "example": "user" - }, - "content": { - "type": "array", - "items": { - "type": "object", - "properties": { - "type": { - "type": "string", - "description": "Type of content, e.g., 'text'.", - "example": "text" - }, - "text": { - "type": "object", - "properties": { - "value": { - "type": "string", - "description": "Text content of the message.", - "example": "How does AI work? Explain it in simple terms." - }, - "annotations": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Annotations for the text content, if any.", - "example": [] - } - } - } - } - } - }, - "file_ids": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Array of file IDs associated with the message, if any.", - "example": [] - }, - "assistant_id": { - "type": "string", - "description": "Identifier of the assistant involved in the message, if applicable.", - "example": null - }, - "run_id": { - "type": "string", - "description": "Run ID associated with the message, if applicable.", - "example": null - }, - "metadata": { - "type": "object", - "description": "Metadata associated with the message.", - "example": {} - } - } - }, - "CreateMessageResponse": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "The identifier of the created message.", - "example": "msg_abc123" - }, - "object": { - "type": "string", - "description": "Type of the object, indicating it's a thread message.", - "example": "thread.message" - }, - "created_at": { - "type": "integer", - "format": "int64", - "description": "Unix timestamp representing the creation time of the message.", - "example": 1699017614 - }, - "thread_id": { - "type": "string", - "description": "Identifier of the thread to which this message belongs.", - "example": "thread_abc123" - }, - "role": { - "type": "string", - "description": "Role of the sender, either 'user' or 'assistant'.", - "example": "user" - }, - "content": { - "type": "array", - "items": { - "type": "object", - "properties": { - "type": { - "type": "string", - "description": "Type of content, e.g., 'text'.", - "example": "text" - }, - "text": { - "type": "object", - "properties": { - "value": { - "type": "string", - "description": "Text content of the message.", - "example": "How does AI work? Explain it in simple terms." - }, - "annotations": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Annotations for the text content, if any.", - "example": [] - } - } - } - } - } - }, - "file_ids": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Array of file IDs associated with the message, if any.", - "example": [] - }, - "assistant_id": { - "type": "string", - "description": "Identifier of the assistant involved in the message, if applicable.", - "example": null - }, - "run_id": { - "type": "string", - "description": "Run ID associated with the message, if applicable.", - "example": null - }, - "metadata": { - "type": "object", - "description": "Metadata associated with the message.", - "example": {} - } - } - }, - "ListMessagesResponse": { - "type": "object", - "properties": { - "object": { - "type": "string", - "description": "Type of the object, indicating it's a list.", - "default": "list" - }, - "data": { - "type": "array", - "items": { - "$ref": "#/components/schemas/ListMessageObject" - } - }, - "first_id": { - "type": "string", - "description": "Identifier of the first message in the list.", - "example": "msg_abc123" - }, - "last_id": { - "type": "string", - "description": "Identifier of the last message in the list.", - "example": "msg_abc456" - }, - "has_more": { - "type": "boolean", - "description": "Indicates whether there are more messages to retrieve.", - "example": false - } - } - }, - "ListMessageObject": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "The identifier of the message.", - "example": "msg_abc123" - }, - "object": { - "type": "string", - "description": "Type of the object, indicating it's a thread message.", - "example": "thread.message" - }, - "created_at": { - "type": "integer", - "format": "int64", - "description": "Unix timestamp representing the creation time of the message.", - "example": 1699017614 - }, - "thread_id": { - "type": "string", - "description": "Identifier of the thread to which this message belongs.", - "example": "thread_abc123" - }, - "role": { - "type": "string", - "description": "Role of the sender, either 'user' or 'assistant'.", - "example": "user" - }, - "content": { - "type": "array", - "items": { - "type": "object", - "properties": { - "type": { - "type": "string", - "description": "Type of content, e.g., 'text'." - }, - "text": { - "type": "object", - "properties": { - "value": { - "type": "string", - "description": "Text content of the message.", - "example": "How does AI work? Explain it in simple terms." - }, - "annotations": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Annotations for the text content, if any." - } - } - } - } - } - }, - "file_ids": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Array of file IDs associated with the message, if any.", - "example": [] - }, - "assistant_id": { - "type": "string", - "description": "Identifier of the assistant involved in the message, if applicable.", - "example": null - }, - "run_id": { - "type": "string", - "description": "Run ID associated with the message, if applicable.", - "example": null - }, - "metadata": { - "type": "object", - "description": "Metadata associated with the message.", - "example": {} - } - } - }, - "MessageFileObject": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "The identifier of the file.", - "example": "file-abc123" - }, - "object": { - "type": "string", - "description": "Type of the object, indicating it's a thread message file.", - "example": "thread.message.file" - }, - "created_at": { - "type": "integer", - "format": "int64", - "description": "Unix timestamp representing the creation time of the file.", - "example": 1699061776 - }, - "message_id": { - "type": "string", - "description": "Identifier of the message to which this file is associated.", - "example": "msg_abc123" - } - } - }, - "ListMessageFilesResponse": { - "type": "object", - "properties": { - "object": { - "type": "string", - "description": "Type of the object, indicating it's a list.", - "default": "list" - }, - "data": { - "type": "array", - "items": { - "$ref": "#/components/schemas/MessageFileObject" - } - } - } - }, - "ChatObject": { - "type": "object", - "properties": { - "messages": { - "type": "array", - "description": "Contains input data or prompts for the model to process.\n", - "items": { - "type": "object", - "properties": { - "content": { - "type": "string" - }, - "role": { - "type": "string" - } - } - }, - "example": [ - { - "content": "Hello there :wave:", - "role": "assistant" - }, - { - "content": "Can you write a long story", - "role": "user" - } - ] - }, - "stream": { - "type": "boolean", - "default": true, - "description": "Enables continuous output generation, allowing for streaming of model responses." - }, - "model": { - "type": "string", - "example": "gpt-3.5-turbo", - "description": "Specifies the model being used for inference or processing tasks." - }, - "max_tokens": { - "type": "number", - "default": 2048, - "description": "The maximum number of tokens the model will generate in a single response." - }, - "stop": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Defines specific tokens or phrases at which the model will stop generating further output.", - "example": [ - "hello" - ] - }, - "frequency_penalty": { - "type": "number", - "default": 0, - "description": "Adjusts the likelihood of the model repeating words or phrases in its output." - }, - "presence_penalty": { - "type": "number", - "default": 0, - "description": "Influences the generation of new and varied concepts in the model's output." - }, - "temperature": { - "type": "number", - "default": 0.7, - "description": "Controls the randomness of the model's output." - }, - "top_p": { - "type": "number", - "default": 0.95, - "description": "Set probability threshold for more relevant outputs." - }, - "cache_prompt": { - "type": "boolean", - "default": true, - "description": "Optimize performance in repeated or similar requests." - } - } - }, - "ChatCompletionRequest": { - "type": "object", - "properties": { - "messages": { - "type": "array", - "description": "Contains input data or prompts for the model to process.\n", - "items": { - "type": "object", - "properties": { - "content": { - "type": "string" - }, - "role": { - "type": "string" - } - } - }, - "example": [ - { - "content": "You are a helpful assistant.", - "role": "system" - }, - { - "content": "Hello!", - "role": "user" - } - ] - }, - "model": { - "type": "string", - "example": "tinyllama-1.1b", - "description": "Specifies the model being used for inference or processing tasks.\n" - }, - "stream": { - "type": "boolean", - "default": true, - "description": "Enables continuous output generation, allowing for streaming of model responses.\n" - }, - "max_tokens": { - "type": "number", - "default": 2048, - "description": "The maximum number of tokens the model will generate in a single response.\n" - }, - "stop": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Defines specific tokens or phrases at which the model will stop generating further output.\n", - "example": [ - "hello" - ] - }, - "frequency_penalty": { - "type": "number", - "default": 0, - "description": "Adjusts the likelihood of the model repeating words or phrases in its output.\n" - }, - "presence_penalty": { - "type": "number", - "default": 0, - "description": "Influences the generation of new and varied concepts in the model's output.\n" - }, - "temperature": { - "type": "number", - "default": 0.7, - "description": "Controls the randomness of the model's output.\n" - }, - "top_p": { - "type": "number", - "default": 0.95, - "description": "Set probability threshold for more relevant outputs.\n" - } - } - }, - "ChatCompletionResponse": { - "type": "object", - "description": "Description of the response structure", - "properties": { - "choices": { - "type": "array", - "description": "Array of choice objects", - "items": { - "type": "object", - "properties": { - "finish_reason": { - "type": "string", - "nullable": true, - "example": null, - "description": "Reason for finishing the response, if applicable" - }, - "index": { - "type": "integer", - "example": 0, - "description": "Index of the choice" - }, - "message": { - "type": "object", - "properties": { - "content": { - "type": "string", - "example": "Hello user. What can I help you with?", - "description": "Content of the message" - }, - "role": { - "type": "string", - "example": "assistant", - "description": "Role of the sender" - } - } - } - } - } - }, - "created": { - "type": "integer", - "example": 1700193928, - "description": "Timestamp of when the response was created" - }, - "id": { - "type": "string", - "example": "ebwd2niJvJB1Q2Whyvkz", - "description": "Unique identifier of the response" - }, - "model": { - "type": "string", - "nullable": true, - "example": "_", - "description": "Model used for generating the response" - }, - "object": { - "type": "string", - "example": "chat.completion", - "description": "Type of the response object" - }, - "system_fingerprint": { - "type": "string", - "nullable": true, - "example": "_", - "description": "System fingerprint" - }, - "usage": { - "type": "object", - "description": "Information about the usage of tokens", - "properties": { - "completion_tokens": { - "type": "integer", - "example": 500, - "description": "Number of tokens used for completion" - }, - "prompt_tokens": { - "type": "integer", - "example": 33, - "description": "Number of tokens used in the prompt" - }, - "total_tokens": { - "type": "integer", - "example": 533, - "description": "Total number of tokens used" - } - } - } - } - }, - "AssistantObject": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "The identifier of the assistant.", - "example": "asst_abc123" - }, - "object": { - "type": "string", - "description": "Type of the object, indicating it's an assistant.", - "default": "assistant" - }, - "version": { - "type": "integer", - "description": "Version number of the assistant.", - "example": 1 - }, - "created_at": { - "type": "integer", - "format": "int64", - "description": "Unix timestamp representing the creation time of the assistant.", - "example": 1698984975 - }, - "name": { - "type": "string", - "description": "Name of the assistant.", - "example": "Math Tutor" - }, - "description": { - "type": "string", - "description": "Description of the assistant. Can be null.", - "example": null - }, - "avatar": { - "type": "string", - "description": "URL of the assistant's avatar. Jan-specific property.", - "example": "https://pic.png" - }, - "models": { - "type": "array", - "description": "List of models associated with the assistant. Jan-specific property.", - "items": { - "type": "object", - "properties": { - "model_id": { - "type": "string", - "example": "model_0" - } - } - } - }, - "instructions": { - "type": "string", - "description": "A system prompt for the assistant.", - "example": "Be concise" - }, - "events": { - "type": "object", - "description": "Event subscription settings for the assistant.", - "properties": { - "in": { - "type": "array", - "items": { - "type": "string" - } - }, - "out": { - "type": "array", - "items": { - "type": "string" - } - } - } - }, - "metadata": { - "type": "object", - "description": "Metadata associated with the assistant." - } - } - }, - "ListAssistantsResponse": { - "type": "object" - }, - "CreateAssistantResponse": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "The identifier of the assistant.", - "example": "asst_abc123" - }, - "object": { - "type": "string", - "description": "Type of the object, indicating it's an assistant.", - "default": "assistant" - }, - "version": { - "type": "integer", - "description": "Version number of the assistant.", - "example": 1 - }, - "created_at": { - "type": "integer", - "format": "int64", - "description": "Unix timestamp representing the creation time of the assistant.", - "example": 1698984975 - }, - "name": { - "type": "string", - "description": "Name of the assistant.", - "example": "Math Tutor" - }, - "description": { - "type": "string", - "description": "Description of the assistant. Can be null.", - "example": null - }, - "avatar": { - "type": "string", - "description": "URL of the assistant's avatar. Jan-specific property.", - "example": "https://pic.png" - }, - "models": { - "type": "array", - "description": "List of models associated with the assistant. Jan-specific property.", - "items": { - "type": "object", - "properties": { - "model_id": { - "type": "string", - "example": "model_0" - } - } - } - }, - "instructions": { - "type": "string", - "description": "A system prompt for the assistant.", - "example": "Be concise" - }, - "events": { - "type": "object", - "description": "Event subscription settings for the assistant.", - "properties": { - "in": { - "type": "array", - "items": { - "type": "string" - } - }, - "out": { - "type": "array", - "items": { - "type": "string" - } - } - } - }, - "metadata": { - "type": "object", - "description": "Metadata associated with the assistant." - } - } - }, - "RetrieveAssistantResponse": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "The identifier of the assistant.", - "example": "asst_abc123" - }, - "object": { - "type": "string", - "description": "Type of the object, indicating it's an assistant.", - "default": "assistant" - }, - "version": { - "type": "integer", - "description": "Version number of the assistant.", - "example": 1 - }, - "created_at": { - "type": "integer", - "format": "int64", - "description": "Unix timestamp representing the creation time of the assistant.", - "example": 1698984975 - }, - "name": { - "type": "string", - "description": "Name of the assistant.", - "example": "Math Tutor" - }, - "description": { - "type": "string", - "description": "Description of the assistant. Can be null.", - "example": null - }, - "avatar": { - "type": "string", - "description": "URL of the assistant's avatar. Jan-specific property.", - "example": "https://pic.png" - }, - "models": { - "type": "array", - "description": "List of models associated with the assistant. Jan-specific property.", - "items": { - "type": "object", - "properties": { - "model_id": { - "type": "string", - "example": "model_0" - } - } - } - }, - "instructions": { - "type": "string", - "description": "A system prompt for the assistant.", - "example": "Be concise" - }, - "events": { - "type": "object", - "description": "Event subscription settings for the assistant.", - "properties": { - "in": { - "type": "array", - "items": { - "type": "string" - } - }, - "out": { - "type": "array", - "items": { - "type": "string" - } - } - } - }, - "metadata": { - "type": "object", - "description": "Metadata associated with the assistant." - } - } - }, - "ModifyAssistantObject": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "The identifier of the assistant.", - "example": "asst_abc123" - }, - "object": { - "type": "string", - "description": "Type of the object, indicating it's an assistant.", - "default": "assistant" - }, - "version": { - "type": "integer", - "description": "Version number of the assistant.", - "example": 1 - }, - "created_at": { - "type": "integer", - "format": "int64", - "description": "Unix timestamp representing the creation time of the assistant.", - "example": 1698984975 - }, - "name": { - "type": "string", - "description": "Name of the assistant.", - "example": "Math Tutor" - }, - "description": { - "type": "string", - "description": "Description of the assistant. Can be null.", - "example": null - }, - "avatar": { - "type": "string", - "description": "URL of the assistant's avatar. Jan-specific property.", - "example": "https://pic.png" - }, - "models": { - "type": "array", - "description": "List of models associated with the assistant. Jan-specific property.", - "items": { - "type": "object", - "properties": { - "model_id": { - "type": "string", - "example": "model_0" - } - } - } - }, - "instructions": { - "type": "string", - "description": "A system prompt for the assistant.", - "example": "Be concise" - }, - "events": { - "type": "object", - "description": "Event subscription settings for the assistant.", - "properties": { - "in": { - "type": "array", - "items": { - "type": "string" - } - }, - "out": { - "type": "array", - "items": { - "type": "string" - } - } - } - }, - "metadata": { - "type": "object", - "description": "Metadata associated with the assistant." - } - } - }, - "ModifyAssistantResponse": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "The identifier of the assistant.", - "example": "asst_abc123" - }, - "object": { - "type": "string", - "description": "Type of the object, indicating it's an assistant.", - "default": "assistant" - }, - "version": { - "type": "integer", - "description": "Version number of the assistant.", - "example": 1 - }, - "created_at": { - "type": "integer", - "format": "int64", - "description": "Unix timestamp representing the creation time of the assistant.", - "example": 1698984975 - }, - "name": { - "type": "string", - "description": "Name of the assistant.", - "example": "Physics Tutor" - }, - "description": { - "type": "string", - "description": "Description of the assistant. Can be null.", - "example": null - }, - "avatar": { - "type": "string", - "description": "URL of the assistant's avatar. Jan-specific property.", - "example": "https://pic.png" - }, - "models": { - "type": "array", - "description": "List of models associated with the assistant. Jan-specific property.", - "items": { - "type": "object", - "properties": { - "model_id": { - "type": "string", - "example": "model_0" - } - } - } - }, - "instructions": { - "type": "string", - "description": "A system prompt for the assistant.", - "example": "Be concise!" - }, - "events": { - "type": "object", - "description": "Event subscription settings for the assistant.", - "properties": { - "in": { - "type": "array", - "items": { - "type": "string" - } - }, - "out": { - "type": "array", - "items": { - "type": "string" - } - } - } - }, - "metadata": { - "type": "object", - "description": "Metadata associated with the assistant." - } - } - }, - "DeleteAssistantResponse": { - "type": "object", - "properties": { - "id": { - "type": "string", - "description": "The identifier of the deleted assistant.", - "example": "asst_abc123" - }, - "object": { - "type": "string", - "description": "Type of the object, indicating the assistant has been deleted.", - "example": "assistant.deleted" - }, - "deleted": { - "type": "boolean", - "description": "Indicates whether the assistant was successfully deleted.", - "example": true - } - } - } - } - } -} \ No newline at end of file diff --git a/docs/openapi/jan.yaml b/docs/openapi/jan.yaml deleted file mode 100644 index f45db7d2d..000000000 --- a/docs/openapi/jan.yaml +++ /dev/null @@ -1,1043 +0,0 @@ ---- -openapi: 3.0.0 -info: - title: API Reference - description: > - # Introduction - - Jan API is compatible with the [OpenAI API](https://platform.openai.com/docs/api-reference). -version: 0.1.8 -contact: - name: Jan Discord - url: https://discord.gg/7EcEz7MrvA -license: - name: AGPLv3 - url: https://github.com/janhq/nitro/blob/main/LICENSE -servers: - - url: /v1 -tags: - - name: Models - description: List and describe the various models available in the API. - - name: Chat - description: > - Given a list of messages comprising a conversation, the model will - return a response. - - name: Messages - description: > - Messages capture a conversation's content. This can include the - content from LLM responses and other metadata from [chat - completions](/specs/chats). - - name: Threads - - name: Assistants - description: Configures and utilizes different AI assistants for varied tasks -x-tagGroups: - - name: Endpoints - tags: - - Models - - Chat - - name: Chat - tags: - - Assistants - - Messages - - Threads -paths: - /chat/completions: - post: - operationId: createChatCompletion - tags: - - Chat - summary: | - Create chat completion - description: > - Creates a model response for the given chat conversation. - Equivalent to OpenAI's create chat completion. - requestBody: - content: - application/json: - schema: - $ref: specs/chat.yaml#/components/schemas/ChatCompletionRequest - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: specs/chat.yaml#/components/schemas/ChatCompletionResponse - x-codeSamples: - - lang: cURL - source: | - curl -X 'POST' \ - 'http://localhost:1337/v1/chat/completions' \ - -H 'accept: application/json' \ - -H 'Content-Type: application/json' \ - -d '{ - "messages": [ - { - "content": "You are a helpful assistant.", - "role": "system" - }, - { - "content": "Hello!", - "role": "user" - } - ], - "model": "tinyllama-1.1b", - "stream": true, - "max_tokens": 2048, - "stop": [ - "hello" - ], - "frequency_penalty": 0, - "presence_penalty": 0, - "temperature": 0.7, - "top_p": 0.95 - }' - - lang: JavaScript - source: |- - const data = { - messages: [ - { - content: 'You are a helpful assistant.', - role: 'system' - }, - { - content: 'Hello!', - role: 'user' - } - ], - model: 'tinyllama-1.1b', - stream: true, - max_tokens: 2048, - stop: ['hello'], - frequency_penalty: 0, - presence_penalty: 0, - temperature: 0.7, - top_p: 0.95 - }; - - fetch('http://localhost:1337/v1/chat/completions', { - method: 'POST', - headers: { - 'Content-Type': 'application/json', - 'Accept': 'application/json' - }, - body: JSON.stringify(data) - }) - .then(response => response.json()) - .then(data => console.log(data)); - - lang: Node.js - source: |- - const fetch = require('node-fetch'); - - const data = { - messages: [ - { - content: 'You are a helpful assistant.', - role: 'system' - }, - { - content: 'Hello!', - role: 'user' - } - ], - model: 'tinyllama-1.1b', - stream: true, - max_tokens: 2048, - stop: ['hello'], - frequency_penalty: 0, - presence_penalty: 0, - temperature: 0.7, - top_p: 0.95 - }; - - fetch('http://localhost:1337/v1/chat/completions', { - method: 'POST', - headers: { - 'Content-Type': 'application/json', - 'Accept': 'application/json' - }, - body: JSON.stringify(data) - }) - .then(response => response.json()) - .then(data => console.log(data)); - - lang: Python - source: >- - import requests - - import json - - - data = { - "messages": [ - { - "content": "You are a helpful assistant.", - "role": "system" - }, - { - "content": "Hello!", - "role": "user" - } - ], - "model": "tinyllama-1.1b", - "stream": true, - "max_tokens": 2048, - "stop": [ - "hello" - ], - "frequency_penalty": 0, - "presence_penalty": 0, - "temperature": 0.7, - "top_p": 0.95 - } - - - response = requests.post('http://localhost:1337/v1/chat/completions', json=data) - - print(response.json()) - /models: - get: - operationId: listModels - tags: - - Models - summary: List models - description: > - Lists the currently available models, and provides basic - information about each one such as the owner and availability. - Equivalent to OpenAI's list model. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: specs/models.yaml#/components/schemas/ListModelsResponse - x-codeSamples: - - lang: cURL - source: |- - curl -X 'GET' \ - 'http://localhost:1337/v1/models' \ - -H 'accept: application/json' - - lang: JavaScript - source: |- - const response = await fetch('http://localhost:1337/v1/models', { - method: 'GET', - headers: {Accept: 'application/json'} - }); - const data = await response.json(); - - lang: Node.js - source: |- - const fetch = require('node-fetch'); - - const url = 'http://localhost:1337/v1/models'; - const options = { - method: 'GET', - headers: { Accept: 'application/json' } - }; - - fetch(url, options) - .then(res => res.json()) - .then(json => console.log(json)); - - lang: Python - source: |- - import requests - - url = 'http://localhost:1337/v1/models' - headers = {'Accept': 'application/json'} - response = requests.get(url, headers=headers) - data = response.json() - "/models/download/{model_id}": - get: - operationId: downloadModel - tags: - - Models - summary: Download a specific model. - description: | - Download a model. - parameters: - - in: path - name: model_id - required: true - schema: - type: string - example: mistral-ins-7b-q4 - description: | - The ID of the model to use for this request. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: specs/models.yaml#/components/schemas/DownloadModelResponse - x-codeSamples: - - lang: cURL - source: |- - curl -X 'GET' \ - 'http://localhost:1337/v1/models/download/{model_id}' \ - -H 'accept: application/json' - - lang: JavaScript - source: >- - const response = await - fetch('http://localhost:1337/v1/models/download/{model_id}', { - method: 'GET', - headers: {accept: 'application/json'} - }); - - - const data = await response.json(); - - lang: Node.js - source: |- - const fetch = require('node-fetch'); - - fetch('http://localhost:1337/v1/models/download/{model_id}', { - method: 'GET', - headers: {accept: 'application/json'} - }) - .then(res => res.json()) - .then(data => console.log(data)); - - lang: Python - source: >- - import requests - - - response = requests.get('http://localhost:1337/v1/models/download/{model_id}', headers={'accept': 'application/json'}) - - data = response.json() - "/models/{model_id}": - get: - operationId: retrieveModel - tags: - - Models - summary: Retrieve model - description: > - Get a model instance, providing basic information about the model - such as the owner and permissioning. - Equivalent to OpenAI's retrieve model. - parameters: - - in: path - name: model_id - required: true - schema: - type: string - example: mistral-ins-7b-q4 - description: | - The ID of the model to use for this request. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: specs/models.yaml#/components/schemas/GetModelResponse - x-codeSamples: - - lang: cURL - source: |- - curl -X 'GET' \ - 'http://localhost:1337/v1/models/{model_id}' \ - -H 'accept: application/json' - - lang: JavaScript - source: |- - const fetch = require('node-fetch'); - - const modelId = 'mistral-ins-7b-q4'; - - fetch(`http://localhost:1337/v1/models/${modelId}`, { - method: 'GET', - headers: {'accept': 'application/json'} - }) - .then(res => res.json()) - .then(json => console.log(json)); - - lang: Node.js - source: |- - const fetch = require('node-fetch'); - - const modelId = 'mistral-ins-7b-q4'; - - fetch(`http://localhost:1337/v1/models/${modelId}`, { - method: 'GET', - headers: {'accept': 'application/json'} - }) - .then(res => res.json()) - .then(json => console.log(json)); - - lang: Python - source: >- - import requests - - - model_id = 'mistral-ins-7b-q4' - - - response = requests.get(f'http://localhost:1337/v1/models/{model_id}', headers={'accept': 'application/json'}) - - print(response.json()) - delete: - operationId: deleteModel - tags: - - Models - summary: Delete model - description: > - Delete a model. - Equivalent to OpenAI's delete model. - parameters: - - in: path - name: model_id - required: true - schema: - type: string - example: mistral-ins-7b-q4 - description: | - The model id to delete - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: specs/models.yaml#/components/schemas/DeleteModelResponse - x-codeSamples: - - lang: cURL - source: |- - curl -X 'DELETE' \ - 'http://localhost:1337/v1/models/{model_id}' \ - -H 'accept: application/json' - - lang: JavaScript - source: |- - const fetch = require('node-fetch'); - - const modelId = 'mistral-ins-7b-q4'; - - fetch(`http://localhost:1337/v1/models/${modelId}`, { - method: 'DELETE', - headers: { 'accept': 'application/json' } - }) - .then(res => res.json()) - .then(json => console.log(json)); - - lang: Node.js - source: |- - const fetch = require('node-fetch'); - - const modelId = 'mistral-ins-7b-q4'; - - fetch(`http://localhost:1337/v1/models/${modelId}`, { - method: 'DELETE', - headers: { 'accept': 'application/json' } - }) - .then(res => res.json()) - .then(json => console.log(json)); - - lang: Python - source: >- - import requests - - - model_id = 'mistral-ins-7b-q4' - - - response = requests.delete(f'http://localhost:1337/v1/models/{model_id}', headers={'accept': 'application/json'}) - /threads: - post: - operationId: createThread - tags: - - Threads - summary: Create thread - description: > - Create a thread. - Equivalent to OpenAI's create thread. - requestBody: - required: false - content: - application/json: - schema: - $ref: specs/threads.yaml#/components/schemas/CreateThreadObject - responses: - "200": - description: Thread created successfully - content: - application/json: - schema: - $ref: specs/threads.yaml#/components/schemas/CreateThreadResponse - x-codeSamples: - - lang: cURL - source: | - curl -X POST http://localhost:1337/v1/threads \ - -H "Content-Type: application/json" \ - -d '{ - "messages": [{ - "role": "user", - "content": "Hello, what is AI?", - "file_ids": ["file-abc123"] - }, { - "role": "user", - "content": "How does AI work? Explain it in simple terms." - }] - }' - - lang: JavaScript - source: |- - const fetch = require('node-fetch'); - - fetch('http://localhost:1337/v1/threads', { - method: 'POST', - headers: { - 'Content-Type': 'application/json' - }, - body: JSON.stringify({ - messages: [ - { - role: 'user', - content: 'Hello, what is AI?', - file_ids: ['file-abc123'] - }, - { - role: 'user', - content: 'How does AI work? Explain it in simple terms.' - } - ] - }) - }); - - lang: Node.js - source: |- - const fetch = require('node-fetch'); - - fetch('http://localhost:1337/v1/threads', { - method: 'POST', - headers: { - 'Content-Type': 'application/json' - }, - body: JSON.stringify({ - messages: [ - { - role: 'user', - content: 'Hello, what is AI?', - file_ids: ['file-abc123'] - }, - { - role: 'user', - content: 'How does AI work? Explain it in simple terms.' - } - ] - }) - }); - - lang: Python - source: |- - import requests - - url = 'http://localhost:1337/v1/threads' - payload = { - 'messages': [ - { - 'role': 'user', - 'content': 'Hello, what is AI?', - 'file_ids': ['file-abc123'] - }, - { - 'role': 'user', - 'content': 'How does AI work? Explain it in simple terms.' - } - ] - } - - response = requests.post(url, json=payload) - print(response.text) - get: - operationId: listThreads - tags: - - Threads - summary: List threads - description: | - Retrieves a list of all threads available in the system. - responses: - "200": - description: List of threads retrieved successfully - content: - application/json: - schema: - type: array - items: - $ref: specs/threads.yaml#/components/schemas/ThreadObject - example: - - id: thread_abc123 - object: thread - created_at: 1699014083 - assistants: - - assistant-001 - metadata: {} - messages: [] - - id: thread_abc456 - object: thread - created_at: 1699014083 - assistants: - - assistant-002 - - assistant-003 - metadata: {} - x-codeSamples: - - lang: cURL - source: |- - curl http://localhost:1337/v1/threads \ - -H "Content-Type: application/json" - - lang: JavaScript - source: |- - const fetch = require('node-fetch'); - - fetch('http://localhost:1337/v1/threads', { - method: 'GET', - headers: {'Content-Type': 'application/json'} - }).then(res => res.json()) - .then(json => console.log(json)); - - lang: Node.js - source: |- - const fetch = require('node-fetch'); - - fetch('http://localhost:1337/v1/threads', { - method: 'GET', - headers: {'Content-Type': 'application/json'} - }).then(res => res.json()) - .then(json => console.log(json)); - - lang: Python - source: |- - import requests - - url = 'http://localhost:1337/v1/threads' - headers = {'Content-Type': 'application/json'} - - response = requests.get(url, headers=headers) - print(response.json()) - "/threads/{thread_id}": - get: - operationId: getThread - tags: - - Threads - summary: Retrieve thread - description: > - Retrieves detailed information about a specific thread using its - thread_id. - Equivalent to OpenAI's retrieve thread. - parameters: - - in: path - name: thread_id - required: true - schema: - type: string - description: | - The ID of the thread to retrieve. - responses: - "200": - description: Thread details retrieved successfully - content: - application/json: - schema: - $ref: specs/threads.yaml#/components/schemas/GetThreadResponse - x-codeSamples: - - lang: cURL - source: | - curl http://localhost:1337/v1/threads/{thread_id} - patch: - operationId: modifyThread - tags: - - Threads - summary: Modify thread - description: > - Modifies a thread. - Equivalent to OpenAI's modify thread. - parameters: - - in: path - name: thread_id - required: true - schema: - type: string - description: | - The ID of the thread to be modified. - requestBody: - required: true - content: - application/json: - schema: - type: object - properties: - title: - type: string - description: Set the title of the thread - items: - $ref: specs/threads.yaml#/components/schemas/ThreadMessageObject - responses: - "200": - description: Thread modified successfully - content: - application/json: - schema: - $ref: specs/threads.yaml#/components/schemas/ModifyThreadResponse - x-codeSamples: - - lang: cURL - source: | - curl -X POST http://localhost:1337/v1/threads/{thread_id} \ - -H "Content-Type: application/json" \ - -d '{ - "messages": [{ - "role": "user", - "content": "Hello, what is AI?", - "file_ids": ["file-abc123"] - }, { - "role": "user", - "content": "How does AI work? Explain it in simple terms." - }] - }' - delete: - operationId: deleteThread - tags: - - Threads - summary: Delete thread - description: > - Delete a thread. - Equivalent to OpenAI's delete thread. - parameters: - - in: path - name: thread_id - required: true - schema: - type: string - description: | - The ID of the thread to be deleted. - responses: - "200": - description: Thread deleted successfully - content: - application/json: - schema: - $ref: specs/threads.yaml#/components/schemas/DeleteThreadResponse - x-codeSamples: - - lang: cURL - source: | - curl -X DELETE http://localhost:1337/v1/threads/{thread_id} - /assistants: - get: - operationId: listAssistants - tags: - - Assistants - summary: List assistants - description: > - Return a list of assistants. - Equivalent to OpenAI's list assistants. - responses: - "200": - description: List of assistants retrieved successfully - content: - application/json: - schema: - type: array - example: - - id: asst_abc123 - object: assistant - version: 1 - created_at: 1698984975 - name: Math Tutor - description: null - avatar: https://pic.png - models: - - model_id: model_0 - instructions: Be concise - events: - in: [] - out: [] - metadata: {} - - id: asst_abc456 - object: assistant - version: 1 - created_at: 1698984975 - name: Physics Tutor - description: null - avatar: https://pic.png - models: - - model_id: model_1 - instructions: Be concise! - events: - in: [] - out: [] - metadata: {} - x-codeSamples: - - lang: cURL - source: |- - curl http://localhost:1337/v1/assistants \ - -H "Content-Type: application/json" - - lang: JavaScript - source: |- - fetch('http://localhost:1337/v1/assistants', { - method: 'GET', - headers: { - 'Content-Type': 'application/json' - } - }) - - lang: Node.js - source: |- - const fetch = require('node-fetch'); - - fetch('http://localhost:1337/v1/assistants', { - method: 'GET', - headers: { - 'Content-Type': 'application/json' - } - }) - - lang: Python - source: |- - import requests - - url = 'http://localhost:1337/v1/assistants' - headers = {'Content-Type': 'application/json'} - - response = requests.get(url, headers=headers) - "/assistants/{assistant_id}": - get: - operationId: getAssistant - tags: - - Assistants - summary: Retrieve assistant - description: > - Retrieves an assistant. - Equivalent to OpenAI's retrieve assistants. - parameters: - - in: path - name: assistant_id - required: true - schema: - type: string - example: jan - description: | - The ID of the assistant to retrieve. - responses: - "200": - description: null - content: - application/json: - schema: - $ref: specs/assistants.yaml#/components/schemas/RetrieveAssistantResponse - x-codeSamples: - - lang: cURL - source: |- - curl http://localhost:1337/v1/assistants/{assistant_id} \ - -H "Content-Type: application/json" - - lang: JavaScript - source: |- - const fetch = require('node-fetch'); - - let assistantId = 'abc123'; - - fetch(`http://localhost:1337/v1/assistants/${assistantId}`, { - method: 'GET', - headers: { - 'Content-Type': 'application/json' - } - }) - - lang: Node.js - source: |- - const fetch = require('node-fetch'); - - let assistantId = 'abc123'; - - fetch(`http://localhost:1337/v1/assistants/${assistantId}`, { - method: 'GET', - headers: { - 'Content-Type': 'application/json' - } - }) - - lang: Python - source: >- - import requests - - - assistant_id = 'abc123' - - - response = requests.get(f'http://localhost:1337/v1/assistants/{assistant_id}', headers={'Content-Type': 'application/json'}) - "/threads/{thread_id}/messages": - get: - operationId: listMessages - tags: - - Messages - summary: List messages - description: > - Retrieves all messages from the given thread. - Equivalent to OpenAI's list messages. - parameters: - - in: path - name: thread_id - required: true - schema: - type: string - description: | - The ID of the thread from which to retrieve messages. - responses: - "200": - description: List of messages retrieved successfully - content: - application/json: - schema: - $ref: specs/messages.yaml#/components/schemas/ListMessagesResponse - x-codeSamples: - - lang: cURL - source: | - curl http://localhost:1337/v1/threads/{thread_id}/messages \ - -H "Content-Type: application/json" - post: - operationId: createMessage - tags: - - Messages - summary: Create message - description: > - Create a message. - Equivalent to OpenAI's list messages. - parameters: - - in: path - name: thread_id - required: true - schema: - type: string - description: | - The ID of the thread to which the message will be posted. - requestBody: - required: true - content: - application/json: - schema: - type: object - properties: - role: - type: string - description: | - Role of the sender, either 'user' or 'assistant'. - example: user - enum: - - user - - assistant - content: - type: string - description: | - Text content of the message. - example: How does AI work? Explain it in simple terms. - required: - - role - - content - responses: - "200": - description: Message created successfully - content: - application/json: - schema: - $ref: specs/messages.yaml#/components/schemas/CreateMessageResponse - x-codeSamples: - - lang: cURL - source: | - curl -X POST http://localhost:1337/v1/threads/{thread_id}/messages \ - -H "Content-Type: application/json" \ - -d '{ - "role": "user", - "content": "How does AI work? Explain it in simple terms." - }' - "/threads/{thread_id}/messages/{message_id}": - get: - operationId: retrieveMessage - tags: - - Messages - summary: Retrieve message - description: > - Retrieve a specific message from a thread using its thread_id and - message_id. - Equivalent to OpenAI's retrieve messages. - parameters: - - in: path - name: thread_id - required: true - schema: - type: string - description: | - The ID of the thread containing the message. - - in: path - name: message_id - required: true - schema: - type: string - description: | - The ID of the message to retrieve. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: specs/messages.yaml#/components/schemas/GetMessageResponse - x-codeSamples: - - lang: cURL - source: > - curl http://localhost:1337/v1/threads/{thread_id}/messages/{message_id} - \ - -H "Content-Type: application/json" -x-webhooks: - ModelObject: - post: - summary: The model object - description: > - Describe a model offering that can be used with the API. - Equivalent to OpenAI's model object. - operationId: ModelObject - tags: - - Models - requestBody: - content: - application/json: - schema: - $ref: specs/models.yaml#/components/schemas/ModelObject - AssistantObject: - post: - summary: The assistant object - description: > - Build assistants that can call models and use tools to perform - tasks. Equivalent - to OpenAI's assistants object. - operationId: AssistantObjects - tags: - - Assistants - requestBody: - content: - application/json: - schema: - $ref: specs/assistants.yaml#/components/schemas/AssistantObject - MessageObject: - post: - summary: The message object - description: > - Information about a message in the thread. - Equivalent to OpenAI's message object. - operationId: MessageObject - tags: - - Messages - requestBody: - content: - application/json: - schema: - $ref: specs/messages.yaml#/components/schemas/MessageObject - ThreadObject: - post: - summary: The thread object - description: Represents a thread that contains messages. - Equivalent to OpenAI's thread object. - operationId: ThreadObject - tags: - - Threads - requestBody: - content: - application/json: - schema: - $ref: specs/threads.yaml#/components/schemas/ThreadObject diff --git a/docs/openapi/specs/assistants.yaml b/docs/openapi/specs/assistants.yaml deleted file mode 100644 index 5db1f6a97..000000000 --- a/docs/openapi/specs/assistants.yaml +++ /dev/null @@ -1,319 +0,0 @@ ---- -components: - schemas: - AssistantObject: - type: object - properties: - id: - type: string - description: The identifier of the assistant. - example: asst_abc123 - object: - type: string - description: Type of the object, indicating it's an assistant. - default: assistant - version: - type: integer - description: Version number of the assistant. - example: 1 - created_at: - type: integer - format: int64 - description: Unix timestamp representing the creation time of the assistant. - example: 1698984975 - name: - type: string - description: Name of the assistant. - example: Math Tutor - description: - type: string - description: Description of the assistant. Can be null. - example: null - avatar: - type: string - description: URL of the assistant's avatar. Jan-specific property. - example: https://pic.png - models: - type: array - description: List of models associated with the assistant. Jan-specific property. - items: - type: object - properties: - model_id: - type: string - example: model_0 - instructions: - type: string - description: A system prompt for the assistant. - example: Be concise - events: - type: object - description: Event subscription settings for the assistant. - properties: - in: - type: array - items: - type: string - out: - type: array - items: - type: string - metadata: - type: object - description: Metadata associated with the assistant. - ListAssistantsResponse: null - CreateAssistantResponse: - type: object - properties: - id: - type: string - description: The identifier of the assistant. - example: asst_abc123 - object: - type: string - description: Type of the object, indicating it's an assistant. - default: assistant - version: - type: integer - description: Version number of the assistant. - example: 1 - created_at: - type: integer - format: int64 - description: Unix timestamp representing the creation time of the assistant. - example: 1698984975 - name: - type: string - description: Name of the assistant. - example: Math Tutor - description: - type: string - description: Description of the assistant. Can be null. - example: null - avatar: - type: string - description: URL of the assistant's avatar. Jan-specific property. - example: https://pic.png - models: - type: array - description: List of models associated with the assistant. Jan-specific property. - items: - type: object - properties: - model_id: - type: string - example: model_0 - instructions: - type: string - description: A system prompt for the assistant. - example: Be concise - events: - type: object - description: Event subscription settings for the assistant. - properties: - in: - type: array - items: - type: string - out: - type: array - items: - type: string - metadata: - type: object - description: Metadata associated with the assistant. - RetrieveAssistantResponse: - type: object - properties: - id: - type: string - description: The identifier of the assistant. - example: asst_abc123 - object: - type: string - description: Type of the object, indicating it's an assistant. - default: assistant - version: - type: integer - description: Version number of the assistant. - example: 1 - created_at: - type: integer - format: int64 - description: Unix timestamp representing the creation time of the assistant. - example: 1698984975 - name: - type: string - description: Name of the assistant. - example: Math Tutor - description: - type: string - description: Description of the assistant. Can be null. - example: null - avatar: - type: string - description: URL of the assistant's avatar. Jan-specific property. - example: https://pic.png - models: - type: array - description: List of models associated with the assistant. Jan-specific property. - items: - type: object - properties: - model_id: - type: string - example: model_0 - instructions: - type: string - description: A system prompt for the assistant. - example: Be concise - events: - type: object - description: Event subscription settings for the assistant. - properties: - in: - type: array - items: - type: string - out: - type: array - items: - type: string - metadata: - type: object - description: Metadata associated with the assistant. - ModifyAssistantObject: - type: object - properties: - id: - type: string - description: The identifier of the assistant. - example: asst_abc123 - object: - type: string - description: Type of the object, indicating it's an assistant. - default: assistant - version: - type: integer - description: Version number of the assistant. - example: 1 - created_at: - type: integer - format: int64 - description: Unix timestamp representing the creation time of the assistant. - example: 1698984975 - name: - type: string - description: Name of the assistant. - example: Math Tutor - description: - type: string - description: Description of the assistant. Can be null. - example: null - avatar: - type: string - description: URL of the assistant's avatar. Jan-specific property. - example: https://pic.png - models: - type: array - description: List of models associated with the assistant. Jan-specific property. - items: - type: object - properties: - model_id: - type: string - example: model_0 - instructions: - type: string - description: A system prompt for the assistant. - example: Be concise - events: - type: object - description: Event subscription settings for the assistant. - properties: - in: - type: array - items: - type: string - out: - type: array - items: - type: string - metadata: - type: object - description: Metadata associated with the assistant. - ModifyAssistantResponse: - type: object - properties: - id: - type: string - description: The identifier of the assistant. - example: asst_abc123 - object: - type: string - description: Type of the object, indicating it's an assistant. - default: assistant - version: - type: integer - description: Version number of the assistant. - example: 1 - created_at: - type: integer - format: int64 - description: Unix timestamp representing the creation time of the assistant. - example: 1698984975 - name: - type: string - description: Name of the assistant. - example: Physics Tutor - description: - type: string - description: Description of the assistant. Can be null. - example: null - avatar: - type: string - description: URL of the assistant's avatar. Jan-specific property. - example: https://pic.png - models: - type: array - description: List of models associated with the assistant. Jan-specific property. - items: - type: object - properties: - model_id: - type: string - example: model_0 - instructions: - type: string - description: A system prompt for the assistant. - example: Be concise! - events: - type: object - description: Event subscription settings for the assistant. - properties: - in: - type: array - items: - type: string - out: - type: array - items: - type: string - metadata: - type: object - description: Metadata associated with the assistant. - DeleteAssistantResponse: - type: object - properties: - id: - type: string - description: The identifier of the deleted assistant. - example: asst_abc123 - object: - type: string - description: Type of the object, indicating the assistant has been deleted. - example: assistant.deleted - deleted: - type: boolean - description: Indicates whether the assistant was successfully deleted. - example: true diff --git a/docs/openapi/specs/chat.yaml b/docs/openapi/specs/chat.yaml deleted file mode 100644 index cfa391598..000000000 --- a/docs/openapi/specs/chat.yaml +++ /dev/null @@ -1,191 +0,0 @@ ---- -components: - schemas: - ChatObject: - type: object - properties: - messages: - type: arrays - description: | - Contains input data or prompts for the model to process. - example: - - content: "Hello there :wave:" - role: assistant - - content: Can you write a long story - role: user - stream: - type: boolean - default: true - description: Enables continuous output generation, allowing for streaming of - model responses. - model: - type: string - example: gpt-3.5-turbo - description: Specifies the model being used for inference or processing tasks. - max_tokens: - type: number - default: 2048 - description: The maximum number of tokens the model will generate in a single - response. - stop: - type: arrays - example: - - hello - description: Defines specific tokens or phrases at which the model will stop - generating further output/ - frequency_penalty: - type: number - default: 0 - description: Adjusts the likelihood of the model repeating words or phrases in - its output. - presence_penalty: - type: number - default: 0 - description: Influences the generation of new and varied concepts in the model's - output. - temperature: - type: number - default: 0.7 - min: 0 - max: 1 - description: Controls the randomness of the model's output. - top_p: - type: number - default: 0.95 - min: 0 - max: 1 - description: Set probability threshold for more relevant outputs. - cache_prompt: - type: boolean - default: true - description: Optimize performance in repeated or similar requests. - ChatCompletionRequest: - type: object - properties: - messages: - type: arrays - description: | - Contains input data or prompts for the model to process. - example: - - content: You are a helpful assistant. - role: system - - content: Hello! - role: user - model: - type: string - example: tinyllama-1.1b - description: | - Specifies the model being used for inference or processing tasks. - stream: - type: boolean - default: true - description: > - Enables continuous output generation, allowing for streaming of - model responses. - max_tokens: - type: number - default: 2048 - description: > - The maximum number of tokens the model will generate in a single - response. - stop: - type: arrays - example: - - hello - description: > - Defines specific tokens or phrases at which the model will stop - generating further output. - frequency_penalty: - type: number - default: 0 - description: > - Adjusts the likelihood of the model repeating words or phrases in - its output. - presence_penalty: - type: number - default: 0 - description: > - Influences the generation of new and varied concepts in the model's - output. - temperature: - type: number - default: 0.7 - min: 0 - max: 1 - description: | - Controls the randomness of the model's output. - top_p: - type: number - default: 0.95 - min: 0 - max: 1 - description: | - Set probability threshold for more relevant outputs. - ChatCompletionResponse: - type: object - description: Description of the response structure - properties: - choices: - type: array - description: Array of choice objects - items: - type: object - properties: - finish_reason: - type: string - nullable: true - example: null - description: Reason for finishing the response, if applicable - index: - type: integer - example: 0 - description: Index of the choice - message: - type: object - properties: - content: - type: string - example: Hello user. What can I help you with? - description: Content of the message - role: - type: string - example: assistant - description: Role of the sender - created: - type: integer - example: 1700193928 - description: Timestamp of when the response was created - id: - type: string - example: ebwd2niJvJB1Q2Whyvkz - description: Unique identifier of the response - model: - type: string - nullable: true - example: _ - description: Model used for generating the response - object: - type: string - example: chat.completion - description: Type of the response object - system_fingerprint: - type: string - nullable: true - example: _ - description: System fingerprint - usage: - type: object - description: Information about the usage of tokens - properties: - completion_tokens: - type: integer - example: 500 - description: Number of tokens used for completion - prompt_tokens: - type: integer - example: 33 - description: Number of tokens used in the prompt - total_tokens: - type: integer - example: 533 - description: Total number of tokens used diff --git a/docs/openapi/specs/messages.yaml b/docs/openapi/specs/messages.yaml deleted file mode 100644 index 6f5fe1a58..000000000 --- a/docs/openapi/specs/messages.yaml +++ /dev/null @@ -1,313 +0,0 @@ ---- -components: - schemas: - MessageObject: - type: object - properties: - id: - type: string - description: | - Sequential or UUID identifier of the message. - example: 0 - object: - type: string - description: | - Type of the object, defaults to 'thread.message'. - example: thread.message - created_at: - type: integer - format: int64 - description: | - Unix timestamp representing the creation time of the message. - thread_id: - type: string - description: > - Identifier of the thread to which this message belongs. Defaults to - parent thread. - example: thread_asdf - assistant_id: - type: string - description: > - Identifier of the assistant involved in the message. Defaults to - parent thread. - example: jan - role: - type: string - enum: - - user - - assistant - description: | - Role of the sender, either 'user' or 'assistant'. - content: - type: array - items: - type: object - properties: - type: - type: string - description: | - Type of content, e.g., 'text'. - text: - type: object - properties: - value: - type: string - description: | - Text content of the message. - example: Hi!? - annotations: - type: array - items: - type: string - description: | - Annotations for the text content, if any. - example: [] - metadata: - type: object - description: | - Metadata associated with the message, defaults to an empty object. - example: {} - GetMessageResponse: - type: object - properties: - id: - type: string - description: The identifier of the message. - example: msg_abc123 - object: - type: string - description: Type of the object, indicating it's a thread message. - default: thread.message - created_at: - type: integer - format: int64 - description: Unix timestamp representing the creation time of the message. - example: 1699017614 - thread_id: - type: string - description: Identifier of the thread to which this message belongs. - example: thread_abc123 - role: - type: string - description: Role of the sender, either 'user' or 'assistant'. - example: user - content: - type: array - items: - type: object - properties: - type: - type: string - description: Type of content, e.g., 'text'. - example: text - text: - type: object - properties: - value: - type: string - description: Text content of the message. - example: How does AI work? Explain it in simple terms. - annotations: - type: array - items: - type: string - description: Annotations for the text content, if any. - example: [] - file_ids: - type: array - items: - type: string - description: Array of file IDs associated with the message, if any. - example: [] - assistant_id: - type: string - description: Identifier of the assistant involved in the message, if applicable. - example: null - run_id: - type: string - description: Run ID associated with the message, if applicable. - example: null - metadata: - type: object - description: Metadata associated with the message. - example: {} - CreateMessageResponse: - type: object - properties: - id: - type: string - description: The identifier of the created message. - example: msg_abc123 - object: - type: string - description: Type of the object, indicating it's a thread message. - example: thread.message - created_at: - type: integer - format: int64 - description: Unix timestamp representing the creation time of the message. - example: 1699017614 - thread_id: - type: string - description: Identifier of the thread to which this message belongs. - example: thread_abc123 - role: - type: string - description: Role of the sender, either 'user' or 'assistant'. - example: user - content: - type: array - items: - type: object - properties: - type: - type: string - description: Type of content, e.g., 'text'. - example: text - text: - type: object - properties: - value: - type: string - description: Text content of the message. - example: How does AI work? Explain it in simple terms. - annotations: - type: array - items: - type: string - description: Annotations for the text content, if any. - example: [] - file_ids: - type: array - items: - type: string - description: Array of file IDs associated with the message, if any. - example: [] - assistant_id: - type: string - description: Identifier of the assistant involved in the message, if applicable. - example: null - run_id: - type: string - description: Run ID associated with the message, if applicable. - example: null - metadata: - type: object - description: Metadata associated with the message. - example: {} - ListMessagesResponse: - type: object - properties: - object: - type: string - description: Type of the object, indicating it's a list. - default: list - data: - type: array - items: - $ref: "#/components/schemas/ListMessageObject" - first_id: - type: string - description: Identifier of the first message in the list. - example: msg_abc123 - last_id: - type: string - description: Identifier of the last message in the list. - example: msg_abc456 - has_more: - type: boolean - description: Indicates whether there are more messages to retrieve. - example: false - ListMessageObject: - type: object - properties: - id: - type: string - description: The identifier of the message. - example: msg_abc123 - object: - type: string - description: Type of the object, indicating it's a thread message. - example: thread.message - created_at: - type: integer - format: int64 - description: Unix timestamp representing the creation time of the message. - example: 1699017614 - thread_id: - type: string - description: Identifier of the thread to which this message belongs. - example: thread_abc123 - role: - type: string - description: Role of the sender, either 'user' or 'assistant'. - example: user - content: - type: array - items: - type: object - properties: - type: - type: string - description: Type of content, e.g., 'text'. - text: - type: object - properties: - value: - type: string - description: Text content of the message. - example: How does AI work? Explain it in simple terms. - annotations: - type: array - items: - type: string - description: Annotations for the text content, if any. - file_ids: - type: array - items: - type: string - description: Array of file IDs associated with the message, if any. - example: [] - assistant_id: - type: string - description: Identifier of the assistant involved in the message, if applicable. - example: null - run_id: - type: string - description: Run ID associated with the message, if applicable. - example: null - metadata: - type: object - description: Metadata associated with the message. - example: {} - MessageFileObject: - type: object - properties: - id: - type: string - description: The identifier of the file. - example: file-abc123 - object: - type: string - description: Type of the object, indicating it's a thread message file. - example: thread.message.file - created_at: - type: integer - format: int64 - description: Unix timestamp representing the creation time of the file. - example: 1699061776 - message_id: - type: string - description: Identifier of the message to which this file is associated. - example: msg_abc123 - ListMessageFilesResponse: - type: object - properties: - object: - type: string - description: Type of the object, indicating it's a list. - default: list - data: - type: array - items: - $ref: "#/components/schemas/MessageFileObject" diff --git a/docs/openapi/specs/models.yaml b/docs/openapi/specs/models.yaml deleted file mode 100644 index 40e6abaaf..000000000 --- a/docs/openapi/specs/models.yaml +++ /dev/null @@ -1,259 +0,0 @@ ---- -components: - schemas: - ListModelsResponse: - type: object - properties: - object: - type: string - enum: - - list - data: - type: array - items: - $ref: "#/components/schemas/Model" - required: - - object - - data - Model: - type: object - properties: - source_url: - type: string - format: uri - description: URL to the source of the model. - example: https://huggingface.co/janhq/trinity-v1.2-GGUF/resolve/main/trinity-v1.2.Q4_K_M.gguf - id: - type: string - description: - Unique identifier used in chat-completions model_name, matches - folder name. - example: trinity-v1.2-7b - object: - type: string - example: model - name: - type: string - description: Name of the model. - example: Trinity-v1.2 7B Q4 - version: - type: string - default: "1.0" - description: The version number of the model. - description: - type: string - description: Description of the model. - example: - Trinity is an experimental model merge using the Slerp method. - Recommended for daily assistance purposes. - format: - type: string - description: State format of the model, distinct from the engine. - example: gguf - settings: - type: object - properties: - ctx_len: - type: integer - description: Context length. - example: 4096 - prompt_template: - type: string - example: "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant" - additionalProperties: false - parameters: - type: object - properties: - temperature: - example: 0.7 - top_p: - example: 0.95 - stream: - example: true - max_tokens: - example: 4096 - stop: - example: [] - frequency_penalty: - example: 0 - presence_penalty: - example: 0 - additionalProperties: false - metadata: - author: - type: string - example: Jan - tags: - example: - - 7B - - Merged - - Featured - size: - example: 4370000000, - cover: - example: https://raw.githubusercontent.com/janhq/jan/main/models/trinity-v1.2-7b/cover.png - engine: - example: nitro - ModelObject: - type: object - properties: - id: - type: string - description: | - The identifier of the model. - example: trinity-v1.2-7b - object: - type: string - description: | - The type of the object, indicating it's a model. - default: model - created: - type: integer - format: int64 - description: | - Unix timestamp representing the creation time of the model. - example: 1253935178 - owned_by: - type: string - description: | - The entity that owns the model. - example: _ - GetModelResponse: - type: object - properties: - source_url: - type: string - format: uri - description: URL to the source of the model. - example: https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GGUF/resolve/main/mistral-7b-instruct-v0.2.Q4_K_M.gguf - id: - type: string - description: - Unique identifier used in chat-completions model_name, matches - folder name. - example: mistral-ins-7b-q4 - object: - type: string - example: model - name: - type: string - description: Name of the model. - example: Mistral Instruct 7B Q4 - version: - type: string - default: "1.0" - description: The version number of the model. - description: - type: string - description: Description of the model. - example: - Trinity is an experimental model merge using the Slerp method. - Recommended for daily assistance purposes. - format: - type: string - description: State format of the model, distinct from the engine. - example: gguf - settings: - type: object - properties: - ctx_len: - type: integer - description: Context length. - example: 4096 - prompt_template: - type: string - example: "[INST] {prompt} [/INST]" - additionalProperties: false - parameters: - type: object - properties: - temperature: - example: 0.7 - top_p: - example: 0.95 - stream: - example: true - max_tokens: - example: 4096 - stop: - example: [] - frequency_penalty: - example: 0 - presence_penalty: - example: 0 - additionalProperties: false - metadata: - author: - type: string - example: MistralAI - tags: - example: - - 7B - - Featured - - Foundation Model - size: - example: 4370000000, - cover: - example: https://raw.githubusercontent.com/janhq/jan/main/models/mistral-ins-7b-q4/cover.png - engine: - example: nitro - DeleteModelResponse: - type: object - properties: - id: - type: string - description: The identifier of the model that was deleted. - example: mistral-ins-7b-q4 - object: - type: string - description: Type of the object, indicating it's a model. - default: model - deleted: - type: boolean - description: Indicates whether the model was successfully deleted. - example: true - StartModelResponse: - type: object - properties: - id: - type: string - description: The identifier of the model that was started. - example: model-zephyr-7B - object: - type: string - description: Type of the object, indicating it's a model. - default: model - state: - type: string - description: The current state of the model after the start operation. - example: running - required: - - id - - object - - state - StopModelResponse: - type: object - properties: - id: - type: string - description: The identifier of the model that was started. - example: model-zephyr-7B - object: - type: string - description: Type of the object, indicating it's a model. - default: model - state: - type: string - description: The current state of the model after the start operation. - example: stopped - required: - - id - - object - - state - DownloadModelResponse: - type: object - properties: - message: - type: string - description: Message indicates Jan starting download corresponding model. - example: Starting download mistral-ins-7b-q4 diff --git a/docs/openapi/specs/threads.yaml b/docs/openapi/specs/threads.yaml deleted file mode 100644 index 40b2463fa..000000000 --- a/docs/openapi/specs/threads.yaml +++ /dev/null @@ -1,227 +0,0 @@ ---- -components: - schemas: - ThreadObject: - type: object - properties: - id: - type: string - description: | - The identifier of the thread, defaults to foldername. - example: thread_.... - object: - type: string - description: | - Type of the object, defaults to thread. - example: thread - title: - type: string - description: > - A brief summary or description of the thread, defaults to an empty - string. - example: funny physics joke - assistants: - type: array - description: "" - items: - properties: - assistant_id: - type: string - description: | - The identifier of assistant, defaults to "jan" - example: jan - model: - type: object - properties: - id: - type: string - description: "" - example: ... - settings: - type: object - description: > - Defaults to and overrides assistant.json's "settings" (and if none, - then model.json "settings") - parameters: - type: object - description: > - Defaults to and overrides assistant.json's "parameters" (and if - none, then model.json "parameters") - created: - type: integer - format: int64 - description: > - Unix timestamp representing the creation time of the thread, - defaults to file creation time. - example: 1231231 - metadata: - type: object - description: | - Metadata associated with the thread, defaults to an empty object. - example: {} - GetThreadResponse: - type: object - properties: - id: - type: string - description: The identifier of the thread. - example: thread_abc123 - object: - type: string - description: Type of the object - example: thread - created_at: - type: integer - format: int64 - description: Unix timestamp representing the creation time of the thread. - example: 1699014083 - assistants: - type: array - items: - type: string - description: List of assistants involved in the thread. - example: - - assistant-001 - metadata: - type: object - description: Metadata associated with the thread. - example: {} - messages: - type: array - items: - type: string - description: List of messages within the thread. - example: [] - CreateThreadResponse: - type: object - properties: - id: - type: string - description: The identifier of the newly created thread. - example: thread_abc123 - object: - type: string - description: Type of the object, indicating it's a thread. - example: thread - created_at: - type: integer - format: int64 - description: Unix timestamp representing the creation time of the thread. - example: 1699014083 - metadata: - type: object - description: Metadata associated with the newly created thread. - example: {} - CreateThreadObject: - type: object - properties: - object: - type: string - description: Type of the object, indicating it's a thread. - example: thread - title: - type: string - description: > - A brief summary or description of the thread, defaults to an empty - string. - example: funny physics joke - assistants: - type: array - description: assistant involved in the thread - items: - properties: - assistant_id: - type: string - description: | - The identifier of assistant, defaults to "jan" - example: jan - assistant_name: - type: string - description: | - The name of assistant, defaults to "Jan" - example: Jan - instructions: - type: string - description: > - The instruction of assistant, defaults to "Be my grammar corrector" - model: - type: object - properties: - id: - type: string - description: Model id - example: mistral-ins-7b-q4 - settings: - type: object - description: > - Defaults to and overrides assistant.json's "settings" (and if none, - then model.json "settings") - parameters: - type: object - description: > - Defaults to and overrides assistant.json's "parameters" (and if - none, then model.json "parameters") - engine: - type: string - description: Engine id - example: nitro - metadata: - type: object - description: | - Metadata associated with the thread, defaults to an empty object. - ThreadMessageObject: - type: object - properties: - role: - type: string - description: | - "Role of the sender, either 'user' or 'assistant'." - enum: - - user - - assistant - content: - type: string - description: | - "Text content of the message." - file_ids: - type: array - items: - type: string - description: | - "Array of file IDs associated with the message, if any." - ModifyThreadResponse: - type: object - properties: - id: - type: string - description: | - "The identifier of the modified thread." - example: thread_abc123 - object: - type: string - description: Type of the object, indicating it's a thread. - example: thread - created_at: - type: integer - format: int64 - description: Unix timestamp representing the creation time of the thread. - example: 1699014083 - metadata: - type: object - description: Metadata associated with the modified thread. - example: {} - DeleteThreadResponse: - type: object - properties: - id: - type: string - description: The identifier of the deleted thread. - example: thread_abc123 - object: - type: string - description: Type of the object, indicating the thread has been deleted. - example: thread.deleted - deleted: - type: boolean - description: Indicates whether the thread was successfully deleted. - example: true diff --git a/docs/package.json b/docs/package.json deleted file mode 100644 index 9c8d805dc..000000000 --- a/docs/package.json +++ /dev/null @@ -1,72 +0,0 @@ -{ - "name": "docs", - "version": "0.0.0", - "private": true, - "scripts": { - "docusaurus": "docusaurus", - "start": "docusaurus start --port 3001", - "build": "docusaurus build", - "swizzle": "docusaurus swizzle", - "deploy": "docusaurus deploy", - "clear": "docusaurus clear", - "serve": "docusaurus serve", - "write-translations": "docusaurus write-translations", - "write-heading-ids": "docusaurus write-heading-ids" - }, - "dependencies": { - "@docsearch/js": "3", - "@docsearch/react": "3", - "@docusaurus/core": "^3.0.0", - "@docusaurus/plugin-client-redirects": "^3.0.0", - "@docusaurus/plugin-content-blog": "^3.0.0", - "@docusaurus/plugin-content-docs": "^3.0.0", - "@docusaurus/preset-classic": "^3.0.0", - "@docusaurus/theme-live-codeblock": "^3.0.0", - "@docusaurus/theme-mermaid": "^3.0.0", - "@headlessui/react": "^1.7.17", - "@heroicons/react": "^2.0.18", - "@mdx-js/react": "^3.0.0", - "@redocly/cli": "^1.4.1", - "@scalar/docusaurus": "^0.1.3", - "autoprefixer": "^10.4.16", - "axios": "^1.5.1", - "clsx": "^1.2.1", - "docusaurus-plugin-redoc": "^2.0.0", - "docusaurus-plugin-sass": "^0.2.5", - "docusaurus-theme-redoc": "^2.0.0", - "js-yaml": "^4.1.0", - "postcss": "^8.4.30", - "posthog-docusaurus": "^2.0.0", - "prism-react-renderer": "^1.3.5", - "lucide-react": "^0.291.0", - "react": "^18.2.0", - "react-dom": "^18.2.0", - "react-hook-form": "^7.47.0", - "react-icons": "^4.11.0", - "react-tweet": "^3.2.0", - "redocusaurus": "^2.0.0", - "sass": "^1.69.3", - "tailwind-merge": "^2.1.0", - "tailwindcss": "^3.3.3" - }, - "devDependencies": { - "@docusaurus/module-type-aliases": "^3.0.0", - "dotenv": "^16.4.5", - "tailwindcss-animate": "^1.0.7" - }, - "browserslist": { - "production": [ - ">0.5%", - "not dead", - "not op_mini all" - ], - "development": [ - "last 1 chrome version", - "last 1 firefox version", - "last 1 safari version" - ] - }, - "engines": { - "node": ">=16.14" - } -} diff --git a/docs/plugins/changelog-plugin/fetchData.js b/docs/plugins/changelog-plugin/fetchData.js deleted file mode 100644 index 7c3620a53..000000000 --- a/docs/plugins/changelog-plugin/fetchData.js +++ /dev/null @@ -1,136 +0,0 @@ -const fs = require('fs'); -const path = require('path'); -const fetch = require('node-fetch'); - -async function fetchData(siteConfig, forceRefresh = false) { - const owner = siteConfig.organizationName; - const repo = siteConfig.projectName; - const apiUrl = `https://api.github.com/repos/${owner}/${repo}/releases`; - - const outputDirectory = path.join(__dirname, '../../docs/releases/changelog'); - - if (!fs.existsSync(outputDirectory)) { - fs.mkdirSync(outputDirectory); - } - - let counter = 1; - const cacheFilePath = path.join(outputDirectory, 'cache.json'); - - let cachedData = {}; - if (fs.existsSync(cacheFilePath) && !forceRefresh) { - cachedData = JSON.parse(fs.readFileSync(cacheFilePath, 'utf-8')); - } - - // Function to retrieve issue details from GitHub API - async function getIssueDetails(issueNumber) { - const issueApiUrl = `https://api.github.com/repos/${owner}/${repo}/issues/${issueNumber}`; - const response = await fetch(issueApiUrl, { - method: 'GET', - headers: { - 'Accept': 'application/vnd.github.v3+json', - }, - }); - - if (!response.ok) { - throw new Error(`HTTP error! Status: ${response.status}`); - } - - return response.json(); - } - - // Fetch releases from GitHub API or load from cache - let releases = []; - try { - if (cachedData.releases && !forceRefresh) { - console.log('Loading releases from cache...'); - releases = cachedData.releases; - } else { - console.log('Fetching releases from GitHub API...'); - const response = await fetch(apiUrl, { - method: 'GET', - headers: { - 'Accept': 'application/vnd.github+json', - }, - }); - - if (!response.ok) { - throw new Error(`HTTP error! Status: ${response.status}`); - } - - releases = await response.json(); - // Cache the fetched releases - cachedData.releases = releases; - fs.writeFileSync(cacheFilePath, JSON.stringify(cachedData, null, 2), 'utf-8'); - console.log(`Fetched releases saved to cache: ${cacheFilePath}`); - } - } catch (error) { - console.error('Error fetching GitHub releases:', error.message); - return; - } - - // Check if there are new releases - const newReleases = releases.filter(release => { - const version = release.tag_name; - const existingChangelogPath = path.join(outputDirectory, `changelog-${version}.mdx`); - return !fs.existsSync(existingChangelogPath); - }); - - // If there are new releases, update existing changelog files' sidebar positions - if (newReleases.length > 0) { - console.log(`Updating sidebar positions for ${newReleases.length} new releases...`); - const existingChangelogFiles = fs.readdirSync(outputDirectory) - .filter(file => file.startsWith('changelog-')); - - existingChangelogFiles.forEach((filename, index) => { - const version = filename.substring(10, filename.length - 4); - const existingChangelogPath = path.join(outputDirectory, filename); - const content = fs.readFileSync(existingChangelogPath, 'utf-8'); - const sidebarPositionMatch = content.match(/sidebar_position: (\d+)/); - let sidebarPosition = index + 1; - - if (sidebarPositionMatch) { - sidebarPosition = parseInt(sidebarPositionMatch[1]); - } - - const updatedContent = content.replace(/sidebar_position: (\d+)/, `sidebar_position: ${sidebarPosition}`); - fs.writeFileSync(existingChangelogPath, updatedContent, 'utf-8'); - console.log(`Sidebar position updated for changelog-${version}`); - }); - } - - // Process the GitHub releases data here - for (const release of releases) { - const version = release.tag_name; - - // Check if the changelog file already exists for the current version - const existingChangelogPath = path.join(outputDirectory, `changelog-${version}.mdx`); - if (fs.existsSync(existingChangelogPath)) { - console.log(`Changelog for version ${version} already exists. Skipping...`); - continue; - } - - const releaseUrl = release.html_url; - const issueNumberMatch = release.body.match(/#(\d+)/); - const issueNumber = issueNumberMatch ? parseInt(issueNumberMatch[1], 10) : null; - - let issueLink = ''; - if (issueNumber) { - const issueDetails = await getIssueDetails(issueNumber); - issueLink = ` [Issue #${issueNumber}: ${issueDetails.title}](${issueDetails.html_url})`; - } - - const changes = release.body; - - let markdownContent = `---\nsidebar_position: ${counter}\nslug: /changelog/changelog-${version}\n---\n# ${version}\n\nFor more details, [GitHub Issues](${releaseUrl})\n\nHighlighted Issue: ${issueLink}\n\n${changes}\n`; - - // Write to a separate markdown file for each version - const outputFilePath = path.join(outputDirectory, `changelog-${version}.mdx`); - fs.writeFileSync(outputFilePath, markdownContent, 'utf-8'); - - console.log(`Changelog for version ${version} has been exported to: ${outputFilePath}`); - - counter++; - } -} - -module.exports = fetchData; diff --git a/docs/plugins/changelog-plugin/index.js b/docs/plugins/changelog-plugin/index.js deleted file mode 100644 index 574b582e5..000000000 --- a/docs/plugins/changelog-plugin/index.js +++ /dev/null @@ -1,30 +0,0 @@ -const fetchData = require('./fetchData'); - -module.exports = function (context, options) { - const { siteConfig, isBuild } = context; - - // Fetch GitHub releases and generate markdown files - fetchData(siteConfig) - .then(() => { - console.log('Changelog data fetched successfully.'); - }) - .catch((error) => { - console.error('Error fetching GitHub releases:', error.message); - }); - - // Hook into Docusaurus lifecycle events - return { - name: 'changelog-plugin', - async onPreBuild() { - if (isBuild) { - // Fetch GitHub releases and generate markdown files during the build - // await fetchData(siteConfig); - } - }, - - async onPostBuild() { - // If you need additional actions after the build, you can include them here. - await fetchData(siteConfig, true); - }, - }; -}; diff --git a/docs/redocly.yaml b/docs/redocly.yaml deleted file mode 100644 index 3f07f9b99..000000000 --- a/docs/redocly.yaml +++ /dev/null @@ -1,18 +0,0 @@ -# NOTE: Only supports options marked as "Supported in Redoc CE" -# See https://redocly.com/docs/cli/configuration/ for more information. - -extends: - - recommended - -rules: - no-unused-components: error - -theme: - openapi: - schemaExpansionLevel: 2 - generateCodeSamples: - languages: - - lang: curl - - lang: Python - - lang: JavaScript - - lang: Node.js \ No newline at end of file diff --git a/docs/sidebars.js b/docs/sidebars.js deleted file mode 100644 index f9775c645..000000000 --- a/docs/sidebars.js +++ /dev/null @@ -1,434 +0,0 @@ -/** - * Creating a sidebar enables you to: - - create an ordered group of docs - - render a sidebar for each doc of that group - - provide next/previous navigation - - The sidebars are explicitly defined here. - - Create as many sidebars as you want. - */ - -// @ts-check - -/** @type {import('@docusaurus/plugin-content-docs').SidebarsConfig} */ -const sidebars = { - aboutSidebar: [ - { - type: "category", - label: "What is Jan?", - link: { type: "doc", id: "about/about" }, - items: [ - //"about/roadmap", - // temporary unpublish "about/vision", - "community/community", - ], - }, - { - type: "category", - label: "Who we are", - link: { type: "doc", id: "team/team" }, - items: ["team/join-us", "team/contributor-program"], - }, - "wall-of-love", - { - type: "category", - label: "How We Work", - link: { type: "doc", id: "how-we-work" }, - items: [ - "how-we-work/strategy/strategy", - "how-we-work/project-management/project-management", - { - type: "category", - label: "Engineering", - link: { type: "doc", id: "how-we-work/engineering/engineering" }, - items: [ - "how-we-work/engineering/ci-cd", - "how-we-work/engineering/qa", - ], - }, - "how-we-work/product-design/product-design", - "how-we-work/analytics/analytics", - "how-we-work/website-docs/website-docs", - ], - }, - "acknowledgements", - { - type: "category", - label: "FAQ", - link: { type: "doc", id: "about/faq" }, - items: - [], - }, - ], - productSidebar: [ - { - type: "category", - label: "Platforms", - collapsible: false, - items: [ - "platforms/desktop", - "server-suite/home-server", - // "server-suite/enterprise", - // "platforms/mobile", - // "platforms/hub", - ], - }, - { - type: "category", - collapsible: true, - collapsed: false, - label: "Features", - link: { type: "doc", id: "features/features" }, - items: [ - "features/local", - "features/remote", - "features/api-server", - "features/extensions-framework", - "features/agents-framework", - "features/data-security", - ], - }, - // NOTE: Jan Server Suite will be torn out into it's own section in the future - // { - // type: "category", - // label: "Jan Server Suite", - // link: { type: "doc", id: "server-suite/server-suite" }, - // items: [ - // "server-suite/admin-console", - // "server-suite/identity-access-management", - // "server-suite/audit-compliance", - // "server-suite/observability", - // ], - // }, - ], - solutionSidebar: [ - { - type: "category", - label: "Use Cases", - collapsed: true, - collapsible: true, - items: ["solutions/ai-pc", "solutions/chatgpt-alternative"], - }, - { - type: "category", - label: "Sectors", - collapsed: true, - collapsible: true, - items: [ - "solutions/finance", - "solutions/healthcare", - "solutions/legal", - "solutions/government", - ], - }, - { - type: "category", - label: "Organization Type", - collapsed: true, - collapsible: true, - items: [ - "solutions/developers", - "solutions/consultants", - "solutions/startups", - "solutions/enterprises", - ], - }, - ], - - pricingSidebar: ["pricing/pricing"], - ecosystemSidebar: [ - "ecosystem/ecosystem", - { - type: "category", - label: "Partners", - link: { type: "doc", id: "partners/partners" }, - collapsible: true, - items: ["partners/become-a-partner"], - }, - { - type: "category", - label: "Integrations", - link: { type: "doc", id: "integrations" }, - items: [ - { - type: "autogenerated", - dirName: "integrations", - }, - ], - }, - ], - guidesSidebar: [ - { - type: "category", - label: "Get Started", - collapsible: false, - className: "head_Menu", - items: [ - "guides/get-started/overview", - "guides/get-started/quickstart", - - { - type: "category", - label: "Hardware Setup", - className: "head_SubMenu", - link: { - type: 'doc', - id: "guides/get-started/hardware-setup", - }, - items: [ - "guides/get-started/settingup-gpu", - ] - }, - { - type: "category", - label: "Installation", - className: "head_SubMenu", - link: { - type: 'doc', - id: "guides/installation/README", - }, - items: [ - "guides/installation/docker", - "guides/installation/linux", - "guides/installation/mac", - "guides/installation/windows" - ] - }, - ] - }, - { - type: "category", - label: "User Guides", - collapsible: false, - className: "head_Menu", - items: [ - "guides/user-guides/overview-guides", - "guides/user-guides/jan-data-folder", - "guides/user-guides/manage-models", - "guides/user-guides/manage-assistants", - "guides/user-guides/manage-threads", - "guides/user-guides/local-server", - "guides/user-guides/advanced-settings" - ] - }, - { - type: "category", - label: "Inference Engines", - collapsible: false, - className: "head_Menu", - items: [ - "guides/inference/overview-inference", - { - type: "category", - label: "Local Engines", - className: "head_SubMenu", - link: { - type: 'doc', - id: "guides/local-providers/README", - }, - items: [ - "guides/local-providers/llamacpp", - "guides/local-providers/lmstudio", - "guides/local-providers/ollama", - "guides/local-providers/tensorrt", - ] - }, - { - type: "category", - label: "Remote Engines", - className: "head_SubMenu", - link: { - type: 'doc', - id: "guides/remote-providers/README", - }, - items: [ - "guides/remote-providers/claude", - "guides/remote-providers/groq", - "guides/remote-providers/mistral", - "guides/remote-providers/openai", - "guides/remote-providers/remote-server-integration" - ] - }, - ] - }, - { - type: "category", - label: "Extensions", - collapsible: false, - className: "head_Menu", - items: [ - "guides/extensions/extensions", - ] - }, - { - type: "category", - label: "Integrations", - collapsible: false, - className: "head_Menu", - items: [ - // "guides/integrations/overview-integration", - { - type: "category", - label: "Integrations", - className: "head_SubMenu", - link: { - type: 'doc', - id: "guides/integrations/README", - }, - items: [ - "guides/integrations/crewai", - "guides/integrations/discord", - "guides/integrations/interpreter", - "guides/integrations/raycast", - "guides/integrations/router", - "guides/integrations/unsloth", - "guides/integrations/vscode" - ] - }, - ] - }, - { - type: "category", - label: "Troubleshooting", - collapsible: false, - className: "head_Menu", - items: [ - "guides/troubleshooting", - ] - }, - // { - // type: "category", - // label: "Advanced Features", - // collapsible: false, - // className: "head_Menu", - // items: [ - // { - // type: "category", - // label: "Advanced Settings", - // className: "head_SubMenu", - // link: { - // type: 'doc', - // id: "guides/advanced-settings/advanced-settings", - // }, - // items: [ - // "guides/advanced-settings/http-proxy", - // ] - // }, - // { - // type: "category", - // label: "Advanced Model Setup", - // className: "head_SubMenu", - // link: { - // type: 'doc', - // id: "guides/models/README", - // }, - // items: [ - // "guides/models/customize-engine", - // "guides/models/import-models", - // "guides/models/integrate-remote", - // ] - // }, - // { - // type: "category", - // label: "Inference Providers", - // className: "head_SubMenu", - // link: { - // type: 'doc', - // id: "guides/providers/README", - // }, - // items: [ - // "guides/providers/llama-cpp", - // "guides/providers/tensorrt-llm", - // ] - // }, - // { - // type: "category", - // label: "Extensions", - // className: "head_SubMenu", - // link: { - // type: 'doc', - // id: "guides/extensions/README", - // }, - // items: [ - // "guides/extensions/import-ext", - // "guides/extensions/setup-ext", - // ] - // }, - // { - // type: "category", - // label: "Integrations", - // className: "head_SubMenu", - // link: { - // type: 'doc', - // id: "guides/integration/README", - // }, - // items: [ - // "guides/integration/azure", - // "guides/integration/discord", - // "guides/integration/groq", - // "guides/integration/lmstudio", - // "guides/integration/mistral", - // "guides/integration/ollama", - // "guides/integration/openinterpreter", - // "guides/integration/openrouter", - // "guides/integration/raycast", - // "guides/integration/vscode", - // ] - // }, - // ] - // }, - // { - // type: "category", - // label: "Troubleshooting", - // collapsible: false, - // className: "head_Menu", - // items: [ - // { - // type: "category", - // label: "Error Codes", - // className: "head_SubMenu", - // link: { - // type: 'doc', - // id: "guides/error-codes/README", - // }, - // items: [ - // "guides/error-codes/how-to-get-error-logs", - // "guides/error-codes/permission-denied", - // "guides/error-codes/something-amiss", - // "guides/error-codes/undefined-issue", - // "guides/error-codes/unexpected-token", - // ] - // }, - // { - // type: "category", - // label: "Common Error", - // className: "head_SubMenu", - // link: { - // type: 'doc', - // id: "guides/common-error/README", - // }, - // items: [ - // "guides/common-error/broken-build", - // "guides/common-error/not-using-gpu", - // ] - // }, - // "guides/faq" - // ] - // }, - ], - developerSidebar: [ - { - type: "autogenerated", - dirName: "developer", - }, - ], - releasesSidebar: [ - { - type: "autogenerated", - dirName: "releases", - }, - ] -}; - -module.exports = sidebars; diff --git a/docs/src/components/HomepagePrimaryFeatures/index.js b/docs/src/components/HomepagePrimaryFeatures/index.js deleted file mode 100644 index 40e715f10..000000000 --- a/docs/src/components/HomepagePrimaryFeatures/index.js +++ /dev/null @@ -1,34 +0,0 @@ -export default function HomepagePrimaryFeatures() { - return ( -
-
-
-
-
-

Installation

-

Install Jan across multiple platforms.

-
- -
- {"Card -
-
-
-
-

API Reference

-

Interact with our API locally.

-
- -
- {"Card -
-
-
-
-
- ); -} diff --git a/docs/src/components/HomepageSecondaryFeatures/index.js b/docs/src/components/HomepageSecondaryFeatures/index.js deleted file mode 100644 index c48e50cb2..000000000 --- a/docs/src/components/HomepageSecondaryFeatures/index.js +++ /dev/null @@ -1,54 +0,0 @@ -import React from 'react' - -export default function HomepageSecondaryFeatures() { - return ( -
-
-
- - - -
-
-
- ) -} - -function FeatureCard({ imgSrc, title, description, href }) { - return ( -
-
-
- {'Feature -
-
-

{title}

-

{description}

-
-
- -
- ) -} diff --git a/docs/src/components/HomepageTerinaryFeatures/index.js b/docs/src/components/HomepageTerinaryFeatures/index.js deleted file mode 100644 index bd4588e96..000000000 --- a/docs/src/components/HomepageTerinaryFeatures/index.js +++ /dev/null @@ -1,114 +0,0 @@ -export default function HomepageTerinaryFeatures() { - return ( -
-
-
-
-
- {"Icon"} -
Get Started
-
-
-

Easily kick off your journey with Jan by installing your AI locally.

- -
-
-
-
- {"Icon"} -
User Guides
-
-
-

Explore our comprehensive guide on configuring and using the Jan application.

- -
-
-
-
- {"Icon"} -
Inference
-
-
-

Learn how to build and integrate Jan with local and remote inference providers.

- -
-
-
-
- {"Icon"} -
Troubleshooting
-
-
-

Find solutions to common issues and including error codes.

- -
-
-
-
-
- ); -} \ No newline at end of file diff --git a/docs/src/containers/Banner/index.js b/docs/src/containers/Banner/index.js deleted file mode 100644 index 3538ab7a9..000000000 --- a/docs/src/containers/Banner/index.js +++ /dev/null @@ -1,95 +0,0 @@ -import React from 'react' - -import { useAppStars } from '@site/src/hooks/useAppStars' -import { useAppRelease } from '@site/src/hooks/useAppRelease' - -import { AiOutlineGithub, AiOutlineTwitter } from 'react-icons/ai' -import { BiLogoDiscordAlt } from 'react-icons/bi' -import { FaLinkedin } from 'react-icons/fa' - -const socials = [ - { - icon: , - href: 'https://twitter.com/janframework', - }, - { - icon: , - href: 'https://discord.com/invite/FTk2MvZwJH', - }, - { - icon: , - href: 'https://github.com/janhq/jan', - }, - { - icon: , - href: 'https://www.linkedin.com/company/janframework/', - }, -] - -export default function AnnoncementBanner() { - const { stargazers } = useAppStars() - const { release } = useAppRelease() - - return ( - - ) -} diff --git a/docs/src/containers/DownloadApp/index.js b/docs/src/containers/DownloadApp/index.js deleted file mode 100644 index e3e5b6d42..000000000 --- a/docs/src/containers/DownloadApp/index.js +++ /dev/null @@ -1,161 +0,0 @@ -import React, { useState, useEffect } from 'react' -import axios from 'axios' -import { FaWindows, FaApple, FaLinux } from 'react-icons/fa' -import { twMerge } from 'tailwind-merge' -import { DownloadIcon } from 'lucide-react' - -const systemsTemplate = [ - { - name: 'Mac M1, M2, M3', - label: 'Apple Silicon', - logo: FaApple, - fileFormat: '{appname}-mac-arm64-{tag}.dmg', - }, - { - name: 'Mac (Intel)', - label: 'Apple Intel', - logo: FaApple, - fileFormat: '{appname}-mac-x64-{tag}.dmg', - }, - { - name: 'Windows', - label: 'Standard (64-bit)', - logo: FaWindows, - fileFormat: '{appname}-win-x64-{tag}.exe', - }, - { - name: 'Linux (AppImage)', - label: 'AppImage', - logo: FaLinux, - fileFormat: '{appname}-linux-x86_64-{tag}.AppImage', - }, - { - name: 'Linux (deb)', - label: 'Deb', - logo: FaLinux, - fileFormat: '{appname}-linux-amd64-{tag}.deb', - }, -] - -const groupTemnplate = [ - { label: 'MacOS', name: 'mac', logo: FaApple }, - { label: 'Windows', name: 'windows', logo: FaWindows }, - { label: 'Linux', name: 'linux', logo: FaLinux }, -] - -export default function DownloadApp() { - const [systems, setSystems] = useState(systemsTemplate) - - const getLatestReleaseInfo = async (repoOwner, repoName) => { - const url = `https://api.github.com/repos/${repoOwner}/${repoName}/releases/latest` - try { - const response = await axios.get(url) - return response.data - } catch (error) { - console.error(error) - return null - } - } - - const extractAppName = (fileName) => { - // Extract appname using a regex that matches the provided file formats - const regex = /^(.*?)-(?:mac|win|linux)-(?:arm64|x64|amd64|x86_64)-.*$/ - const match = fileName.match(regex) - return match ? match[1] : null - } - - useEffect(() => { - const updateDownloadLinks = async () => { - try { - const releaseInfo = await getLatestReleaseInfo('janhq', 'jan') - - // Extract appname from the first asset name - const firstAssetName = releaseInfo.assets[0].name - const appname = extractAppName(firstAssetName) - - if (!appname) { - console.error( - 'Failed to extract appname from file name:', - firstAssetName - ) - - return - } - - // Remove 'v' at the start of the tag_name - const tag = releaseInfo.tag_name.startsWith('v') - ? releaseInfo.tag_name.substring(1) - : releaseInfo.tag_name - - const updatedSystems = systems.map((system) => { - const downloadUrl = system.fileFormat - .replace('{appname}', appname) - .replace('{tag}', tag) - return { - ...system, - href: `https://github.com/janhq/jan/releases/download/${releaseInfo.tag_name}/${downloadUrl}`, - } - }) - - setSystems(updatedSystems) - } catch (error) { - console.error('Failed to update download links:', error) - } - } - - updateDownloadLinks() - }, []) - - const renderDownloadLink = (group) => { - return ( - <> - {systems - .filter((x) => x.name.toLowerCase().includes(group)) - .map((system, i) => ( - - ))} - - ) - } - - return ( -
-
- {groupTemnplate.map((item, i) => { - return ( -
-
-
-
- -
-
{item.label}
-
-
- {renderDownloadLink(item.name)} -
-
-
- ) - })} -
-
- ) -} diff --git a/docs/src/containers/Elements/dropdown.js b/docs/src/containers/Elements/dropdown.js deleted file mode 100644 index 00176fdf2..000000000 --- a/docs/src/containers/Elements/dropdown.js +++ /dev/null @@ -1,175 +0,0 @@ -import React, { useState, useEffect } from 'react' -import { Fragment } from 'react' -import { Menu, Transition } from '@headlessui/react' -import { ChevronDownIcon } from '@heroicons/react/20/solid' -import axios from 'axios' -import { FaWindows, FaApple, FaLinux } from 'react-icons/fa' - -const systemsTemplate = [ - { - name: 'Download for Mac (M1/M2/M3)', - logo: FaApple, - fileFormat: '{appname}-mac-arm64-{tag}.dmg', - }, - { - name: 'Download for Mac (Intel)', - logo: FaApple, - fileFormat: '{appname}-mac-x64-{tag}.dmg', - }, - { - name: 'Download for Windows', - logo: FaWindows, - fileFormat: '{appname}-win-x64-{tag}.exe', - }, - { - name: 'Download for Linux (AppImage)', - logo: FaLinux, - fileFormat: '{appname}-linux-x86_64-{tag}.AppImage', - }, - { - name: 'Download for Linux (deb)', - logo: FaLinux, - fileFormat: '{appname}-linux-amd64-{tag}.deb', - }, -] - -function classNames(...classes) { - return classes.filter(Boolean).join(' ') -} - -export default function Dropdown() { - const [systems, setSystems] = useState(systemsTemplate) - const [defaultSystem, setDefaultSystem] = useState(systems[0]) - - const getLatestReleaseInfo = async (repoOwner, repoName) => { - const url = `https://api.github.com/repos/${repoOwner}/${repoName}/releases/latest` - try { - const response = await axios.get(url) - return response.data - } catch (error) { - console.error(error) - return null - } - } - - const extractAppName = (fileName) => { - // Extract appname using a regex that matches the provided file formats - const regex = /^(.*?)-(?:mac|win|linux)-(?:arm64|x64|x86_64|amd64)-.*$/ - const match = fileName.match(regex) - return match ? match[1] : null - } - - const changeDefaultSystem = async (systems) => { - const userAgent = navigator.userAgent - - if (userAgent.includes('Windows')) { - // windows user - setDefaultSystem(systems[2]) - } else if (userAgent.includes('Linux')) { - // linux user - setDefaultSystem(systems[3]) - } else if (userAgent.includes('Mac OS')) { - setDefaultSystem(systems[0]) - } else { - setDefaultSystem(systems[1]) - } - } - - useEffect(() => { - const updateDownloadLinks = async () => { - try { - const releaseInfo = await getLatestReleaseInfo('janhq', 'jan') - - // Extract appname from the first asset name - const firstAssetName = releaseInfo.assets[0].name - const appname = extractAppName(firstAssetName) - - if (!appname) { - console.error( - 'Failed to extract appname from file name:', - firstAssetName - ) - changeDefaultSystem(systems) - return - } - - // Remove 'v' at the start of the tag_name - const tag = releaseInfo.tag_name.startsWith('v') - ? releaseInfo.tag_name.substring(1) - : releaseInfo.tag_name - - const updatedSystems = systems.map((system) => { - const downloadUrl = system.fileFormat - .replace('{appname}', appname) - .replace('{tag}', tag) - return { - ...system, - href: `https://github.com/janhq/jan/releases/download/${releaseInfo.tag_name}/${downloadUrl}`, - } - }) - - setSystems(updatedSystems) - changeDefaultSystem(updatedSystems) - } catch (error) { - console.error('Failed to update download links:', error) - } - } - - updateDownloadLinks() - }, []) - - return ( -
- - - {defaultSystem.name} - - - - Open OS options - - - -
- {systems.map((system) => ( - setDefaultSystem(system)} - > - {({ active }) => ( - - - - {system.name} - - - )} - - ))} -
- - - -
- ) -} diff --git a/docs/src/containers/Footer/index.js b/docs/src/containers/Footer/index.js deleted file mode 100644 index a33caa2c8..000000000 --- a/docs/src/containers/Footer/index.js +++ /dev/null @@ -1,262 +0,0 @@ -import React, { useState } from 'react' - -import useDocusaurusContext from '@docusaurus/useDocusaurusContext' -import { AiOutlineGithub, AiOutlineTwitter } from 'react-icons/ai' -import { BiLogoDiscordAlt, BiLogoLinkedin } from 'react-icons/bi' -import { useForm } from 'react-hook-form' - -const socials = [ - { - icon: ( - - ), - href: 'https://twitter.com/janframework', - }, - { - icon: ( - - ), - href: 'https://discord.com/invite/FTk2MvZwJH', - }, - { - icon: ( - - ), - href: 'https://github.com/janhq/jan', - }, - { - icon: ( - - ), - href: 'https://www.linkedin.com/company/janframework/', - }, -] - -const menus = [ - { - name: 'Product', - child: [ - { - menu: 'Download', - path: '/download', - }, - { - menu: 'Documentation', - path: '/developer', - }, - { - menu: 'Changelog', - path: 'https://github.com/janhq/jan/releases', - external: true, - }, - ], - }, - { - name: 'For Developers', - child: [ - { - menu: 'Guides', - path: '/guides', - }, - { - menu: 'Developer', - path: '/developer', - }, - { - menu: 'API Reference', - path: '/api-reference', - }, - ], - }, - { - name: 'Community', - child: [ - { - menu: 'Github', - path: 'https://github.com/janhq/jan', - external: true, - }, - { - menu: 'Discord', - path: 'https://discord.gg/FTk2MvZwJH', - external: true, - }, - { - menu: 'Twitter', - path: 'https://twitter.com/janframework', - external: true, - }, - { - menu: 'LinkedIn', - path: 'https://www.linkedin.com/company/janframework/', - external: true, - }, - ], - }, - { - name: 'Company', - child: [ - { - menu: 'About', - path: '/about', - }, - { - menu: 'Blog', - path: '/blog', - }, - { - menu: 'Careers', - path: 'https://janai.bamboohr.com/careers', - external: true, - }, - { - menu: 'Newsletter', - path: '/community#newsletter', - }, - ], - }, -] - -const getCurrentYear = new Date().getFullYear() - -export default function Footer() { - const { register, handleSubmit, reset } = useForm({ - defaultValues: { - email: '', - }, - }) - - const { - siteConfig: { customFields }, - } = useDocusaurusContext() - - const [formMessage, setFormMessage] = useState('') - - const onSubmit = (data) => { - const { email } = data - const options = { - method: 'POST', - - body: JSON.stringify({ - updateEnabled: false, - email, - listIds: [13], - }), - } - - if (email) { - fetch('https://brevo.jan.ai/', options) - .then((response) => response.json()) - .then((response) => { - if (response.id) { - setFormMessage('You have successfully joined our newsletter') - } else { - setFormMessage(response.message) - } - reset() - setTimeout(() => { - setFormMessage('') - }, 5000) - }) - .catch((err) => console.error(err)) - } - } - - return ( -
-
-
-
-
- Jan Logo -

Jan

-
-
-
The Soul of a New Machine
-

- Subscribe to our newsletter on AI{' '} -
- research and building Jan: -

- -
-
- - -
- {formMessage &&

{formMessage}

} -
-
-
- {menus.map((menu, i) => { - return ( -
-

{menu.name}

- -
- ) - })} -
-
-
-
- - ©{getCurrentYear} Jan AI Pte Ltd. - -
- {socials.map((social, i) => { - return ( - - {social.icon} - - ) - })} -
-
-
-
- ) -} diff --git a/docs/src/containers/Testimonial/index.js b/docs/src/containers/Testimonial/index.js deleted file mode 100644 index 04f566126..000000000 --- a/docs/src/containers/Testimonial/index.js +++ /dev/null @@ -1,372 +0,0 @@ -import { useColorMode } from '@docusaurus/theme-common' -import { Tweet } from 'react-tweet' - -const firstColumn = [ - { - type: 'tweet', - id: '1742843063938994469', - }, - { - type: 'youtube', - id: 'ZCiEQVOjH5U', - }, - { - type: 'youtube', - id: '7JpzE-_cKo4', - }, - { - type: 'tweet', - id: '1744729548074459310', - }, -] - -const secondColumn = [ - { - type: 'youtube', - id: 'QpMQgJL4AZA', - }, - { - type: 'tweet', - id: '1750801065132384302', - }, - { - type: 'youtube', - id: '9ta2S425Zu8', - }, - { - type: 'tweet', - id: '1757504717519749292', - }, -] - -const thirdColumn = [ - { - type: 'tweet', - id: '1745560583548670250', - }, - { - type: 'youtube', - id: 'zkafOIyQM8s', - }, - { - type: 'tweet', - id: '1757500111629025788', - }, -] - -const fourthColumn = [ - { - type: 'tweet', - id: '1742993414986068423', - }, - { - type: 'youtube', - id: '9ta2S425Zu8', - }, - { - type: 'youtube', - id: 'ES021_sY6WQ', - }, - { - type: 'youtube', - id: 'CbJGxNmdWws', - }, -] - -const Testimonial = () => { - const { colorMode } = useColorMode() - - return ( -
-
-
-

- People say nice things -

-

- ...despite our bugs and fast moving releases{' '} - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

-
-
-
-
-
- {firstColumn.map((item, i) => { - if (item.type === 'tweet') - return ( -
- -
- ) - if (item.type === 'youtube') - return ( -
-