Merge branch 'dev' into docs_updates_to_assistants

README.md

@@ -76,31 +76,31 @@ Jan is an open-source ChatGPT alternative that runs 100% offline on your compute
   <tr style="text-align:center">
     <td style="text-align:center"><b>Experimental (Nightly Build)</b></td>
     <td style="text-align:center">
-      <a href='https://delta.jan.ai/latest/jan-win-x64-0.4.7-291.exe'>
+      <a href='https://delta.jan.ai/latest/jan-win-x64-0.4.7-293.exe'>
         <img src='./docs/static/img/windows.png' style="height:14px; width: 14px" />
         <b>jan.exe</b>
       </a>
     </td>
     <td style="text-align:center">
-      <a href='https://delta.jan.ai/latest/jan-mac-x64-0.4.7-291.dmg'>
+      <a href='https://delta.jan.ai/latest/jan-mac-x64-0.4.7-293.dmg'>
         <img src='./docs/static/img/mac.png' style="height:15px; width: 15px" />
         <b>Intel</b>
       </a>
     </td>
     <td style="text-align:center">
-      <a href='https://delta.jan.ai/latest/jan-mac-arm64-0.4.7-291.dmg'>
+      <a href='https://delta.jan.ai/latest/jan-mac-arm64-0.4.7-293.dmg'>
         <img src='./docs/static/img/mac.png' style="height:15px; width: 15px" />
         <b>M1/M2</b>
       </a>
     </td>
     <td style="text-align:center">
-      <a href='https://delta.jan.ai/latest/jan-linux-amd64-0.4.7-291.deb'>
+      <a href='https://delta.jan.ai/latest/jan-linux-amd64-0.4.7-293.deb'>
         <img src='./docs/static/img/linux.png' style="height:14px; width: 14px" />
         <b>jan.deb</b>
       </a>
     </td>
     <td style="text-align:center">
-      <a href='https://delta.jan.ai/latest/jan-linux-x86_64-0.4.7-291.AppImage'>
+      <a href='https://delta.jan.ai/latest/jan-linux-x86_64-0.4.7-293.AppImage'>
         <img src='./docs/static/img/linux.png' style="height:14px; width: 14px" />
         <b>jan.AppImage</b>
       </a>

core/src/node/api/processors/download.ts

@@ -42,6 +42,24 @@ export class Downloader implements Processor {
     // Downloading file to a temp file first
     const downloadingTempFile = `${destination}.download`
 
+    // adding initial download state
+    const initialDownloadState: DownloadState = {
+      modelId,
+      fileName,
+      time: {
+        elapsed: 0,
+        remaining: 0,
+      },
+      speed: 0,
+      percent: 0,
+      size: {
+        total: 0,
+        transferred: 0,
+      },
+      downloadState: 'downloading',
+    }
+    DownloadManager.instance.downloadProgressMap[modelId] = initialDownloadState
+
     progress(rq, {})
       .on('progress', (state: any) => {
         const downloadState: DownloadState = {

docs/openapi/jan.yaml

@@ -93,6 +93,110 @@ paths:
                 "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
@@ -113,10 +217,38 @@ paths:
                 $ref: specs/models.yaml#/components/schemas/ListModelsResponse
       x-codeSamples:
         - lang: cURL
-          source: |
+          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: Python
+          source: |-
+            import requests
+
+            url = 'http://localhost:1337/v1/models'
+            headers = {'Accept': 'application/json'}
+            response = requests.get(url, headers=headers)
+            data = 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));
   /models/download/{model_id}:
     get:
       operationId: downloadModel
@@ -143,10 +275,40 @@ paths:
                 $ref: specs/models.yaml#/components/schemas/DownloadModelResponse
       x-codeSamples:
         - lang: cURL
-          source: |
-            curl -X 'GET' \
-              'http://localhost:1337/v1/models/download/{model_id}' \
+          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
@@ -176,10 +338,47 @@ paths:
                 $ref: specs/models.yaml#/components/schemas/GetModelResponse
       x-codeSamples:
         - lang: cURL
-          source: |
-            curl -X 'GET' \
-              'http://localhost:1337/v1/models/{model_id}' \
+          source: |-
+            curl -X 'GET' \  
+              'http://localhost:1337/v1/models/{model_id}' \  
               -H 'accept: application/json'
+        - lang: JavaScript
+          source: |-
+            const fetch = require('node-fetch');
+
+            const modelId = 'mistral-ins-7b-q4';
+
+            fetch(`http://localhost:1337/v1/models/${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:
@@ -207,10 +406,45 @@ paths:
                 $ref: specs/models.yaml#/components/schemas/DeleteModelResponse
       x-codeSamples:
         - lang: cURL
-          source: |
+          source: |-
             curl -X 'DELETE' \
               'http://localhost:1337/v1/models/{model_id}' \
               -H 'accept: application/json'
+        - lang: JavaScript
+          source: |-
+            const fetch = require('node-fetch');
+
+            const modelId = 'mistral-ins-7b-q4';
+
+            fetch(`http://localhost:1337/v1/models/${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
@@ -237,8 +471,8 @@ paths:
       x-codeSamples:
         - lang: cURL
           source: |
-            curl -X POST http://localhost:1337/v1/threads \
-              -H "Content-Type: application/json" \
+            curl -X POST http://localhost:1337/v1/threads \  
+              -H "Content-Type: application/json" \  
               -d '{
                   "messages": [{
                       "role": "user",
@@ -249,6 +483,73 @@ paths:
                       "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:
@@ -282,9 +583,36 @@ paths:
                     metadata: {}
       x-codeSamples:
         - lang: cURL
-          source: |
-            curl http://localhost:1337/v1/threads \
-              -H "Content-Type: application/json" \
+          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

uikit/src/main.scss

@@ -42,69 +42,10 @@
   --danger: 346.8 77.2% 49.8%;
   --danger-foreground: 355.7 100% 97.3%;
 
+  --secondary: 60 4.8% 95.9%;
+  --secondary-foreground: 24 9.8% 10%;
+
   --border: 20 5.9% 90%;
   --input: 20 5.9% 90%;
   --ring: 20 14.3% 4.1%;
-
-  .primary-blue {
-    --primary: 221 83% 53%;
-    --primary-foreground: 210 40% 98%;
-
-    --secondary: 60 4.8% 95.9%;
-    --secondary-foreground: 24 9.8% 10%;
-  }
-
-  .primary-green {
-    --primary: 142.1 76.2% 36.3%;
-    --primary-foreground: 355.7 100% 97.3%;
-
-    --secondary: 240 4.8% 95.9%;
-    --secondary-foreground: 240 5.9% 10%;
-  }
-
-  .primary-purple {
-    --primary: 262.1 83.3% 57.8%;
-    --primary-foreground: 210 20% 98%;
-
-    --secondary: 220 14.3% 95.9%;
-    --secondary-foreground: 220.9 39.3% 11%;
-  }
-}
-
-.dark {
-  --background: 20 14.3% 4.1%;
-  --foreground: 60 9.1% 97.8%;
-
-  --muted: 12 6.5% 15.1%;
-  --muted-foreground: 24 5.4% 63.9%;
-
-  --danger: 346.8 77.2% 49.8%;
-  --danger-foreground: 355.7 100% 97.3%;
-
-  --border: 12 6.5% 15.1%;
-  --input: 12 6.5% 15.1%;
-  --ring: 35.5 91.7% 32.9%;
-
-  .primary-blue {
-    --primary: 221 83% 53%;
-    --primary-foreground: 222.2 47.4% 11.2%;
-
-    --secondary: 12 6.5% 15.1%;
-    --secondary-foreground: 60 9.1% 97.8%;
-  }
-
-  .primary-green {
-    --primary: 142.1 70.6% 45.3%;
-    --primary-foreground: 144.9 80.4% 10%;
-    --secondary: 240 3.7% 15.9%;
-    --secondary-foreground: 0 0% 98%;
-  }
-
-  .primary-purple {
-    --primary: 263.4 70% 50.4%;
-    --primary-foreground: 210 20% 98%;
-
-    --secondary: 215 27.9% 16.9%;
-    --secondary-foreground: 210 20% 98%;
-  }
 }