diff --git a/.github/workflows/python.yml b/.github/workflows/python.yml index c749495..3c5f1e6 100644 --- a/.github/workflows/python.yml +++ b/.github/workflows/python.yml @@ -34,7 +34,7 @@ jobs: env: OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} OPENAI_ORG_ID: ${{ secrets.OPENAI_ORG_ID }} - SKIP_TESTS_NAAI: "tests/llm/ollama tests/local_llm tests/llm/open_ai/test_azure_openai.py" + SKIP_TESTS_NAAI: "tests/llm tests/local_llm" run: poetry run nox -s test-${{ matrix.python-version }} quality: runs-on: ubuntu-22.04 diff --git a/README.md b/README.md index fb8a2e0..bfee451 100644 --- a/README.md +++ b/README.md @@ -35,6 +35,10 @@ The package is split into subpackages, so you can install only the parts you nee 1. OpenAI API 1. Go to https://platform.openai.com/settings/profile?tab=api-keys to get your API key. 1. (Optional) Set the `OPENAI_API_KEY` and the `OPENAI_ORG_ID` environment variables. + 1. Azure OpenAI (AOAI) + 1. Using AOAI requires using Entra ID authentication. See https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/managed-identity for how to set this up for your AOAI deployment. + 1. Requires the correct role assigned to your user account and being signed into the Azure CLI. + 1. (Optional) Set the `AZURE_OPENAI_ENDPOINT` environment variable. 1. GitHub Models 1. Get a Personal Access Token from https://github.com/settings/tokens and set the `GITHUB_TOKEN` environment variable. The token does not need any permissions. 1. Check the [Github Marketplace](https://github.com/marketplace/models) to see which models are available. diff --git a/poetry.lock b/poetry.lock index 724c832..147dbf1 100644 --- a/poetry.lock +++ b/poetry.lock @@ -838,13 +838,13 @@ dev = ["flake8", "markdown", "twine", "wheel"] [[package]] name = "griffe" -version = "0.48.0" +version = "1.1.0" description = "Signatures for entire Python programs. 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collect all the little things that come up over and over again in AI projects and put them in one place." authors = ["DaveCoDev "] license = "MIT" @@ -34,7 +34,7 @@ azure-identity = { version = "^1.17", optional = true } jinja2 = { version = "^3.1", optional = true } numpy = { version = "^1.26", optional = true } ollama = { version = "^0.3", optional = true } -openai = { version = "^1.40", optional = true } +openai = { version = "^1.41", optional = true } pandas = { version = "^2.2", optional = true } pydantic = { version = "^2.8", optional = true } python-liquid = { version = "^1.12", optional = true } @@ -42,7 +42,7 @@ scipy = { version = "^1.14", optional = true } scikit-learn = { version = "^1.5", optional = true } seaborn = { version = "^0.13", optional = true } tiktoken = { version = "^0.7", optional = true } -transformers = { version = "^4.43", optional = true } +transformers = { version = "^4.44", optional = true } [tool.poetry.extras] llm = ["azure-ai-inference", "azure-identity", "openai", "pydantic", "python-liquid", "tiktoken"] diff --git a/src/not_again_ai/local_llm/chat_completion.py b/src/not_again_ai/local_llm/chat_completion.py index 7e6406a..60f41b0 100644 --- a/src/not_again_ai/local_llm/chat_completion.py +++ b/src/not_again_ai/local_llm/chat_completion.py @@ -2,7 +2,7 @@ from azure.ai.inference import ChatCompletionsClient from ollama import Client -from openai import OpenAI +from openai import AzureOpenAI, OpenAI from not_again_ai.llm.gh_models import chat_completion as chat_completion_gh_models from not_again_ai.llm.openai_api import chat_completion as chat_completion_openai @@ -12,7 +12,7 @@ def chat_completion( messages: list[dict[str, Any]], model: str, - client: OpenAI | Client | ChatCompletionsClient, + client: OpenAI | AzureOpenAI | Client | ChatCompletionsClient, tools: list[dict[str, Any]] | None = None, max_tokens: int | None = None, temperature: float = 0.7, @@ -27,7 +27,7 @@ def chat_completion( Args: messages (list[dict[str, Any]]): A list of messages to send to the model. model (str): The model name to use. - client (OpenAI | Client): The client object to use for chat completion. + client (OpenAI | AzureOpenAI | Client | ChatCompletionsClient): The client object to use for chat completion. tools (list[dict[str, Any]], optional):A list of tools the model may call. Use this to provide a list of functions the model may generate JSON inputs for. Defaults to None. max_tokens (int, optional): The maximum number of tokens to generate. @@ -48,7 +48,7 @@ def chat_completion( extras (dict): This will contain any additional fields returned by corresponding provider. """ # Determine which chat_completion function to call based on the client type - if isinstance(client, OpenAI): + if isinstance(client, OpenAI | AzureOpenAI): response = chat_completion_openai.chat_completion( messages=messages, model=model, diff --git a/tests/local_llm/test_chat_completion.py b/tests/local_llm/test_chat_completion.py index b9442ae..f10b24d 100644 --- a/tests/local_llm/test_chat_completion.py +++ b/tests/local_llm/test_chat_completion.py @@ -65,6 +65,16 @@ def test_chat_completion_openai() -> None: print(response) +def test_chat_completion_aoai() -> None: + client = openai_client(api_type="azure_openai") + messages = [ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": "Hello!"}, + ] + response = chat_completion(messages, model="gpt-4o-mini-2024-07-18", client=client) + print(response) + + @pytest.mark.skip("API Cost") def test_chat_completion_multiple_functions() -> None: tools = [ @@ -162,6 +172,7 @@ def test_chat_completion_gh() -> None: if __name__ == "__main__": + test_chat_completion_aoai() test_chat_completion_gh() test_chat_completion_multiple_functions() test_chat_completion_ollama_tools()