LLM/DocsGPT
1
0
Fork 0
mirror of https://github.com/arc53/DocsGPT.git synced 2025-11-29 16:43:16 +00:00
Code Issues Packages Projects Releases Wiki Activity

refactor: update docs LLM_NAME and MODEL_NAME to LLM_PROVIDER and LLM_NAME

Browse Source
This commit is contained in:
Alex
2025-06-11 12:30:34 +01:00
parent 3351f71813
commit aaecf52c99
10 changed files with 59 additions and 57 deletions
Download Patch File Download Diff File Expand all files Collapse all files

24
docs/pages/Models/local-inference.mdx
View File

@@ -15,8 +15,8 @@ Setting up a local inference engine with DocsGPT is configured through environme
To connect to a local inference engine, you will generally need to configure these settings in your `.env` file:
* **`LLM_NAME`**: Crucially set this to `openai`. This tells DocsGPT to use the OpenAI-compatible API format for communication, even though the LLM is local.
* **`MODEL_NAME`**: Specify the model name as recognized by your local inference engine. This might be a model identifier or left as `None` if the engine doesn't require explicit model naming in the API request.
* **`LLM_PROVIDER`**: Crucially set this to `openai`. This tells DocsGPT to use the OpenAI-compatible API format for communication, even though the LLM is local.
* **`LLM_NAME`**: Specify the model name as recognized by your local inference engine. This might be a model identifier or left as `None` if the engine doesn't require explicit model naming in the API request.
* **`OPENAI_BASE_URL`**: This is essential. Set this to the base URL of your local inference engine's API endpoint. This tells DocsGPT where to find your local LLM server.
* **`API_KEY`**: Generally, for local inference engines, you can set `API_KEY=None` as authentication is usually not required in local setups.
@@ -24,16 +24,16 @@ To connect to a local inference engine, you will generally need to configure the
DocsGPT is readily configurable to work with the following local inference engines, all communicating via the OpenAI API format. Here are example `OPENAI_BASE_URL` values for each, based on default setups:
| Inference Engine | `LLM_NAME` | `OPENAI_BASE_URL` |
| :---------------------------- | :--------- | :------------------------- |
| LLaMa.cpp | `openai` | `http://localhost:8000/v1` |
| Ollama | `openai` | `http://localhost:11434/v1` |
| Text Generation Inference (TGI)| `openai` | `http://localhost:8080/v1` |
| SGLang | `openai` | `http://localhost:30000/v1` |
| vLLM | `openai` | `http://localhost:8000/v1` |
| Aphrodite | `openai` | `http://localhost:2242/v1` |
| FriendliAI | `openai` | `http://localhost:8997/v1` |
| LMDeploy | `openai` | `http://localhost:23333/v1` |
| Inference Engine | `LLM_PROVIDER` | `OPENAI_BASE_URL` |
| :---------------------------- | :------------- | :------------------------- |
| LLaMa.cpp | `openai` | `http://localhost:8000/v1` |
| Ollama | `openai` | `http://localhost:11434/v1` |
| Text Generation Inference (TGI)| `openai` | `http://localhost:8080/v1` |
| SGLang | `openai` | `http://localhost:30000/v1` |
| vLLM | `openai` | `http://localhost:8000/v1` |
| Aphrodite | `openai` | `http://localhost:2242/v1` |
| FriendliAI | `openai` | `http://localhost:8997/v1` |
| LMDeploy | `openai` | `http://localhost:23333/v1` |
**Important Note on `localhost` vs `host.docker.internal`:**