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01bc6d35dc
- Previous was incorrectly plural but was defining only a single model - Rename chat model table field to name - Update documentation - Update references functions and variables to match new name
34 lines
1.7 KiB
Markdown
34 lines
1.7 KiB
Markdown
# LiteLLM
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:::info
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This is only helpful for self-hosted users. If you're using [Khoj Cloud](https://app.khoj.dev), you're limited to our first-party models.
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:::
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:::info
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Khoj natively supports local LLMs [available on HuggingFace in GGUF format](https://huggingface.co/models?library=gguf). Using an OpenAI API proxy with Khoj maybe useful for ease of setup, trying new models or using commercial LLMs via API.
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:::
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[LiteLLM](https://docs.litellm.ai/docs/proxy/quick_start) exposes an OpenAI compatible API that proxies requests to other LLM API services. This provides a standardized API to interact with both open-source and commercial LLMs.
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Using LiteLLM with Khoj makes it possible to turn any LLM behind an API into your personal AI agent.
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## Setup
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1. Install LiteLLM
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```bash
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pip install litellm[proxy]
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```
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2. Start LiteLLM and use Mistral tiny via Mistral API
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```
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export MISTRAL_API_KEY=<MISTRAL_API_KEY>
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litellm --model mistral/mistral-tiny --drop_params
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```
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3. Create a new [API Model API](http://localhost:42110/server/admin/database/aimodelapi/add) on your Khoj admin panel
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- Name: `proxy-name`
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- Api Key: `any string`
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- Api Base Url: **URL of your Openai Proxy API**
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4. Create a new [Chat Model](http://localhost:42110/server/admin/database/chatmodel/add) on your Khoj admin panel.
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- Name: `llama3.1` (replace with the name of your local model)
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- Model Type: `Openai`
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- Openai Config: `<the proxy config you created in step 3>`
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- Max prompt size: `20000` (replace with the max prompt size of your model)
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- Tokenizer: *Do not set for OpenAI, Mistral, Llama3 based models*
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5. Go to [your config](http://localhost:42110/settings) and select the model you just created in the chat model dropdown.
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