chore: update mcp doc and model param pics
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@ -4,7 +4,7 @@
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"title": "HOW TO",
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"type": "separator"
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},
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"installation": "Install 👋 Jan",
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"desktop": "Install 👋 Jan",
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"threads": "Start Chatting",
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"manage-models": "Manage Models",
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"assistants": "Create Assistants",
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@ -1,18 +1,18 @@
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{
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"mac": {
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"title": "Mac",
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"href": "/docs/installation/mac"
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"href": "/docs/desktop/mac"
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},
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"windows": {
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"title": "Windows",
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"href": "/docs/installation/windows"
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"href": "/docs/desktop/windows"
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},
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"linux": {
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"title": "Linux",
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"href": "/docs/installation/linux"
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"href": "/docs/desktop/linux"
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},
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"beta": {
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"title": "BETA apps",
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"href": "/docs/installation/beta"
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"href": "/docs/desktop/beta"
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}
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}
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@ -34,7 +34,7 @@ please make sure that you download models that match the hardware specifications
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- [Windows](/docs/desktop/windows#compatibility)
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- [Linux](/docs/desktop/linux#compatibility).
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### AddING Models
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### Adding Models
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#### 1. Download from Jan Hub (Recommended)
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@ -155,7 +155,7 @@ For advanced users who want to add a specific model that is not available within
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Key fields to configure:
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1. The **Settings** array is where you can set the path or location of your model in your computer, the context
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length allowed, and te chat themplate expected by your model.
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length allowed, and the chat template expected by your model.
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2. The [**Parameters**](/docs/model-parameters) are the adjustable settings that affect how your model operates or
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processes the data. The fields in the parameters array are typically general and can be used across different
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models. Here is an example of model parameters:
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@ -48,10 +48,17 @@ access to search your local codebase, query a database, or interact with web API
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making your workflows more modular and adaptable over time.
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<Callout type="warning">
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Please note that not all models that you can download and use, whether in Jan or other tools, may be good at
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tool calling or compatible with MCP. Make sure that the model you choose is MCP-compliant before integrating
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it into your workflows. This might be available in the model card or you may need to implement it yourself to
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test the capabilities of the model.
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Please note that not all models that you can download and use, whether in Jan or other tools, may be good at
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tool calling or compatible with MCP. Make sure that the model you choose is MCP-compliant before integrating
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it into your workflows. This might be available in the model card or you may need to implement it yourself to
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test the capabilities of the model.
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</Callout>
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<Callout type="info">
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To use MCP effectively, ensure your AI model supports tool calling capabilities:
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- For cloud models (like Claude or GPT-4): Verify tool calling is enabled in your API settings
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- For local models: Enable tool calling in the model parameters [click the edit button in Model Capabilities](/docs/model-parameters#model-capabilities-edit-button)
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- Check the model's documentation to confirm MCP compatibility
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</Callout>
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## Considerations and Risks
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@ -42,6 +42,10 @@ These settings are available in the model settings modal:
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| **Stop Sequences** | Tokens or phrases that will end the model's response. |
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| **Frequency Penalty** | Reduces word repetition. |
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<br/>
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<br/>
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## Model Capabilities (Edit Button)
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These toggles are available when you click the edit button next to a model:
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- **Vision**: Enable image input/output
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@ -51,7 +55,8 @@ These toggles are available when you click the edit button next to a model:
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- **Reasoning**: Enable advanced reasoning features
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<br/>
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<br/>
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### Model Parameters
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@ -21,7 +21,7 @@ import { Settings, Plus } from 'lucide-react'
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# OpenAI
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Jan supports most [OpenAI](https://openai.com/) as well as the plenty of OpenAI-compatible APIs out there,
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Jan supports most [OpenAI](https://openai.com/) as well as the many OpenAI-compatible APIs out there,
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allowing you to use all models from OpenAI (GPT-4o, o3 and even those from Together AI, DeepSeek, Fireworks
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and more) through Jan's interface.
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