Allow custom provider factory to be passed into infer_model

pydantic_ai_slim/pydantic_ai/models/__init__.py

@@ -9,7 +9,7 @@
 import base64
 import warnings
 from abc import ABC, abstractmethod
-from collections.abc import AsyncIterator, Iterator
+from collections.abc import AsyncIterator, Callable, Iterator
 from contextlib import asynccontextmanager, contextmanager
 from dataclasses import dataclass, field, replace
 from datetime import datetime
@@ -47,7 +47,7 @@
 )
 from ..output import OutputMode
 from ..profiles import DEFAULT_PROFILE, ModelProfile, ModelProfileSpec
-from ..providers import infer_provider
+from ..providers import Provider, infer_provider
 from ..settings import ModelSettings, merge_model_settings
 from ..tools import ToolDefinition
 from ..usage import RequestUsage
@@ -677,8 +677,10 @@ def override_allow_model_requests(allow_model_requests: bool) -> Iterator[None]:
         ALLOW_MODEL_REQUESTS = old_value  # pyright: ignore[reportConstantRedefinition]
 
 
-def infer_model(model: Model | KnownModelName | str) -> Model:  # noqa: C901
-    """Infer the model from the name."""
+def infer_model(  # noqa: C901
+    model: Model | KnownModelName | str, provider_factory: Callable[[str], Provider[Any]] = infer_provider
+) -> Model:
+    """Infer the model from the name. May optionally pass a callable that setup a custom provider for the model."""
     if isinstance(model, Model):
         return model
     elif model == 'test':
@@ -713,7 +715,7 @@ def infer_model(model: Model | KnownModelName | str) -> Model:  # noqa: C901
         )
         provider_name = 'google-vertex'
 
-    provider = infer_provider(provider_name)
+    provider = provider_factory(provider_name)
 
     model_kind = provider_name
     if model_kind.startswith('gateway/'):

tests/models/test_model.py

@@ -251,6 +251,17 @@ def test_infer_model(
         assert m2 is m
 
 
+def test_infer_model_with_provider():
+    from pydantic_ai.providers import openai
+
+    provider_class = openai.OpenAIProvider(api_key='1234', base_url='http://test')
+    m = infer_model('openai:gpt-5', lambda x: provider_class)
+
+    assert isinstance(m, OpenAIChatModel)
+    assert m._provider is provider_class  # type: ignore
+    assert m._provider.base_url == 'http://test'  # type: ignore
+
+
 def test_infer_str_unknown():
     with pytest.raises(UserError, match='Unknown model: foobar'):
         infer_model('foobar')