ovhcloud.py•3.43 kB
from __future__ import annotations as _annotations
import os
from typing import overload
import httpx
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.harmony import harmony_model_profile
from pydantic_ai.profiles.meta import meta_model_profile
from pydantic_ai.profiles.mistral import mistral_model_profile
from pydantic_ai.profiles.openai import OpenAIJsonSchemaTransformer, OpenAIModelProfile
from pydantic_ai.profiles.qwen import qwen_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 OVHcloud AI Endpoints provider.'
'You can use the `openai` optional group — `pip install "pydantic-ai-slim[openai]"`'
) from _import_error
class OVHcloudProvider(Provider[AsyncOpenAI]):
"""Provider for OVHcloud AI Endpoints."""
@property
def name(self) -> str:
return 'ovhcloud'
@property
def base_url(self) -> str:
return 'https://oai.endpoints.kepler.ai.cloud.ovh.net/v1'
@property
def client(self) -> AsyncOpenAI:
return self._client
def model_profile(self, model_name: str) -> ModelProfile | None:
model_name = model_name.lower()
prefix_to_profile = {
'llama': meta_model_profile,
'meta-': meta_model_profile,
'deepseek': deepseek_model_profile,
'mistral': mistral_model_profile,
'gpt': harmony_model_profile,
'qwen': qwen_model_profile,
}
profile = None
for prefix, profile_func in prefix_to_profile.items():
if model_name.startswith(prefix):
profile = profile_func(model_name)
# As the OVHcloud AI Endpoints API is OpenAI-compatible, let's assume we also need OpenAIJsonSchemaTransformer.
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('OVHCLOUD_API_KEY')
if not api_key and openai_client is None:
raise UserError(
'Set the `OVHCLOUD_API_KEY` environment variable or pass it via '
'`OVHcloudProvider(api_key=...)` to use OVHcloud AI Endpoints 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='ovhcloud')
self._client = AsyncOpenAI(base_url=self.base_url, api_key=api_key, http_client=http_client)