633e2a2137
* GPT4All API Scaffolding. Matches OpenAI OpenAI spec for engines, chats and completions * Edits for docker building * FastAPI app builds and pydantic models are accurate * Added groovy download into dockerfile * improved dockerfile * Chat completions endpoint edits * API uni test sketch * Working example of groovy inference with open ai api * Added lines to test * Set default to mpt |
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| .. | ||
| gpt4all_api | ||
| .gitignore | ||
| docker-compose.yaml | ||
| LICENSE | ||
| makefile | ||
| README.md | ||
WIP - not yet ready.
GPT4All REST API
This directory contains the source code to run and build docker images that run a FastAPI app for serving inference from GPT4All models. The API matches the OpenAI API spec.
Tutorial
Starting the app
First build the FastAPI docker image. You only have to do this on initial build or when you add new dependencies to the requirements.txt file:
DOCKER_BUILDKIT=1 docker build -t gpt4all_api --progress plain -f gpt4all_api/Dockerfile.buildkit .
Then, start the backend with:
docker compose up --build
Spinning up your app
Run docker compose up to spin up the backend. Monitor the logs for errors in-case you forgot to set an environment variable above.
Development
Run
docker compose up --build
and edit files in the api directory. The api will hot-reload on changes.
You can run the unit tests with
make test
Viewing API documentation
Once the FastAPI ap is started you can access its documentation and test the search endpoint by going to:
localhost:80/docs
This documentation should match the OpenAI OpenAPI spec located at https://github.com/openai/openai-openapi/blob/master/openapi.yaml