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mcp-run-python

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by pydantic
openai.py3.4 kB
from __future__ import annotations as _annotations import os from typing import overload import httpx from pydantic_ai import ModelProfile from pydantic_ai.models import cached_async_http_client from pydantic_ai.profiles.openai import openai_model_profile from pydantic_ai.providers import Provider try: from openai import AsyncOpenAI except ImportError as _import_error: # pragma: no cover raise ImportError( 'Please install the `openai` package to use the OpenAI provider, ' 'you can use the `openai` optional group — `pip install "pydantic-ai-slim[openai]"`' ) from _import_error class OpenAIProvider(Provider[AsyncOpenAI]): """Provider for OpenAI API.""" @property def name(self) -> str: return 'openai' @property def base_url(self) -> str: return str(self.client.base_url) @property def client(self) -> AsyncOpenAI: return self._client def model_profile(self, model_name: str) -> ModelProfile | None: return openai_model_profile(model_name) @overload def __init__(self, *, openai_client: AsyncOpenAI) -> None: ... @overload def __init__( self, base_url: str | None = None, api_key: str | None = None, openai_client: None = None, http_client: httpx.AsyncClient | None = None, ) -> None: ... def __init__( self, base_url: str | None = None, api_key: str | None = None, openai_client: AsyncOpenAI | None = None, http_client: httpx.AsyncClient | None = None, ) -> None: """Create a new OpenAI provider. Args: base_url: The base url for the OpenAI requests. If not provided, the `OPENAI_BASE_URL` environment variable will be used if available. Otherwise, defaults to OpenAI's base url. api_key: The API key to use for authentication, if not provided, the `OPENAI_API_KEY` environment variable will be used if available. openai_client: An existing [`AsyncOpenAI`](https://github.com/openai/openai-python?tab=readme-ov-file#async-usage) client to use. If provided, `base_url`, `api_key`, and `http_client` must be `None`. http_client: An existing `httpx.AsyncClient` to use for making HTTP requests. """ # This is a workaround for the OpenAI client requiring an API key, whilst locally served, # openai compatible models do not always need an API key, but a placeholder (non-empty) key is required. if api_key is None and 'OPENAI_API_KEY' not in os.environ and base_url is not None and openai_client is None: api_key = 'api-key-not-set' if openai_client is not None: assert base_url is None, 'Cannot provide both `openai_client` and `base_url`' assert http_client is None, 'Cannot provide both `openai_client` and `http_client`' assert api_key is None, 'Cannot provide both `openai_client` and `api_key`' self._client = openai_client elif http_client is not None: self._client = AsyncOpenAI(base_url=base_url, api_key=api_key, http_client=http_client) else: http_client = cached_async_http_client(provider='openai') self._client = AsyncOpenAI(base_url=base_url, api_key=api_key, http_client=http_client)

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