Framework to create applications and model adapters for AI DIAL.

Applications and model adapters implemented using this framework will be compatible with AI DIAL API that was designed based on Azure OpenAI API.

Install the library using pip:

pip install aidial-sdk

The echo application example replies to the user by repeating their last message:

# Save this as app.py
import uvicorn

from aidial_sdk import DIALApp
from aidial_sdk.chat_completion import ChatCompletion, Request, Response


# ChatCompletion is an abstract class for applications and model adapters
class EchoApplication(ChatCompletion):
    async def chat_completion(
        self, request: Request, response: Response
    ) -> None:
        # Get last message (the newest) from the history
        last_user_message = request.messages[-1]

        # Generate response with a single choice
        with response.create_single_choice() as choice:
            # Fill the content of the response with the last user's content
            choice.append_content(last_user_message.text())


# DIALApp extends FastAPI to provide a user-friendly interface for routing requests to your applications
app = DIALApp()
app.add_chat_completion("echo", EchoApplication())

# Run built app
if __name__ == "__main__":
    uvicorn.run(app, port=5000)

python3 app.py

Send the next request:

curl http://127.0.0.1:5000/openai/deployments/echo/chat/completions \
  -H "Content-Type: application/json" \
  -H "Api-Key: DIAL_API_KEY" \
  -d '{
    "messages": [{"role": "user", "content": "Repeat me!"}]
  }'

You will see the JSON response as:

{
    "choices":[
        {
            "index": 0,
            "finish_reason": "stop",
            "message": {
                "role": "assistant",
                "content": "Repeat me!"
            }
        }
    ],
    "usage": null,
    "id": "d08cfda2-d7c8-476f-8b95-424195fcdafe",
    "created": 1695298034,
    "object": "chat.completion"
}

This project uses Python>=3.8 and Poetry>=1.6.1 as a dependency manager.

Check out Poetry's documentation on how to install it on your system before proceeding.

To install requirements:

poetry install

This will install all requirements for running the package, linting, formatting and tests.

The recommended IDE is VSCode. Open the project in VSCode and install the recommended extensions.

The VSCode is configured to use PEP-8 compatible formatter Black.

Alternatively you can use PyCharm.

Set-up the Black formatter for PyCharm manually or install PyCharm>=2023.2 with built-in Black support.

Run the linting before committing:

make lint

To auto-fix formatting issues run:

make format

Run unit tests locally for available python versions:

make test

Run unit tests for the specific python version:

make test PYTHON=3.11

To remove the virtual environment and build artifacts run:

make clean

To build the package run:

make build

To publish the package to PyPI run:

make publish