mirror of
https://github.com/khoj-ai/khoj.git
synced 2024-12-23 20:58:09 +00:00
8679294bed
This was previously required, but now it's only usefuly for more advanced settings, not typical for self-hosting users. With recent updates, the user's selected chat model is used for both Khoj's train of thought and response. This makes it easy to switch your preferred chat model directly from the user settings page and not have to update this in the admin panel as well. Reflect these code changse in the docs, by removing the unnecessary step for self-hosted users to create a server chat setting when using an OpenAI proxy service like Ollama, LiteLLM etc.
34 lines
1.9 KiB
Markdown
34 lines
1.9 KiB
Markdown
---
|
|
sidebar_position: 1
|
|
---
|
|
|
|
# Use OpenAI Proxy
|
|
:::info
|
|
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.
|
|
:::
|
|
|
|
:::info
|
|
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.
|
|
:::
|
|
|
|
Khoj can use any OpenAI API compatible server including [Ollama](/advanced/ollama), [LMStudio](/advanced/lmstudio) and [LiteLLM](/advanced/litellm).
|
|
Configuring this allows you to use non-standard, open or commercial, local or hosted LLM models for Khoj
|
|
|
|
Combine them with Khoj can turn your favorite LLM into an AI agent. Allowing you to chat with your docs, find answers from the internet, build custom agents and run automations.
|
|
|
|
For specific integrations, see our [Ollama](/advanced/ollama), [LMStudio](/advanced/lmstudio) and [LiteLLM](/advanced/litellm) setup docs. For general instructions to setup Khoj with an OpenAI API proxy see below.
|
|
|
|
## General Setup
|
|
|
|
1. Start your preferred OpenAI API compatible app
|
|
2. Create a new [OpenAI Processor Conversation Config](http://localhost:42110/server/admin/database/openaiprocessorconversationconfig/add) on your Khoj admin panel
|
|
- Name: `any name`
|
|
- Api Key: `any string`
|
|
- Api Base Url: **URL of your Openai Proxy API**
|
|
3. Create a new [Chat Model Option](http://localhost:42110/server/admin/database/chatmodeloptions/add) on your Khoj admin panel.
|
|
- Name: `llama3` (replace with the name of your local model)
|
|
- Model Type: `Openai`
|
|
- Openai Config: `<the proxy config you created in step 2>`
|
|
- Max prompt size: `2000` (replace with the max prompt size of your model)
|
|
- Tokenizer: *Do not set for OpenAI, mistral, llama3 based models*
|
|
4. Go to [your config](http://localhost:42110/settings) and select the model you just created in the chat model dropdown.
|