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mcp-run-python

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by pydantic
deepseek.py3.02 kB
from __future__ import annotations as _annotations import os from typing import overload import httpx from openai import AsyncOpenAI from pydantic_ai import ModelProfile from pydantic_ai.exceptions import UserError from pydantic_ai.models import cached_async_http_client from pydantic_ai.profiles.deepseek import deepseek_model_profile from pydantic_ai.profiles.openai import OpenAIJsonSchemaTransformer, OpenAIModelProfile 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 DeepSeek provider, ' 'you can use the `openai` optional group — `pip install "pydantic-ai-slim[openai]"`' ) from _import_error class DeepSeekProvider(Provider[AsyncOpenAI]): """Provider for DeepSeek API.""" @property def name(self) -> str: return 'deepseek' @property def base_url(self) -> str: return 'https://api.deepseek.com' @property def client(self) -> AsyncOpenAI: return self._client def model_profile(self, model_name: str) -> ModelProfile | None: profile = deepseek_model_profile(model_name) # As DeepSeekProvider is always used with OpenAIChatModel, which used to unconditionally use OpenAIJsonSchemaTransformer, # we need to maintain that behavior unless json_schema_transformer is set explicitly. # This was not the case when using a DeepSeek model with another model class (e.g. BedrockConverseModel or GroqModel), # so we won't do this in `deepseek_model_profile` unless we learn it's always needed. return OpenAIModelProfile(json_schema_transformer=OpenAIJsonSchemaTransformer).update(profile) @overload def __init__(self) -> None: ... @overload def __init__(self, *, api_key: str) -> None: ... @overload def __init__(self, *, api_key: str, http_client: httpx.AsyncClient) -> None: ... @overload def __init__(self, *, openai_client: AsyncOpenAI | None = None) -> None: ... def __init__( self, *, api_key: str | None = None, openai_client: AsyncOpenAI | None = None, http_client: httpx.AsyncClient | None = None, ) -> None: api_key = api_key or os.getenv('DEEPSEEK_API_KEY') if not api_key and openai_client is None: raise UserError( 'Set the `DEEPSEEK_API_KEY` environment variable or pass it via `DeepSeekProvider(api_key=...)`' 'to use the DeepSeek provider.' ) if openai_client is not None: self._client = openai_client elif http_client is not None: self._client = AsyncOpenAI(base_url=self.base_url, api_key=api_key, http_client=http_client) else: http_client = cached_async_http_client(provider='deepseek') self._client = AsyncOpenAI(base_url=self.base_url, api_key=api_key, http_client=http_client)

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