precommit

docs/docs/providers/agents/index.mdx

@@ -1,7 +1,7 @@
 ---
 description: "Agents
 
-    APIs for creating and interacting with agentic systems."
+APIs for creating and interacting with agentic systems."
 sidebar_label: Agents
 title: Agents
 ---
@@ -12,6 +12,6 @@ title: Agents
 
 Agents
 
-    APIs for creating and interacting with agentic systems.
+APIs for creating and interacting with agentic systems.
 
 This section contains documentation for all available providers for the **agents** API.

docs/docs/providers/batches/index.mdx

@@ -1,14 +1,14 @@
 ---
 description: "The Batches API enables efficient processing of multiple requests in a single operation,
-    particularly useful for processing large datasets, batch evaluation workflows, and
-    cost-effective inference at scale.
+particularly useful for processing large datasets, batch evaluation workflows, and
+cost-effective inference at scale.
 
-    The API is designed to allow use of openai client libraries for seamless integration.
+The API is designed to allow use of openai client libraries for seamless integration.
 
-    This API provides the following extensions:
-     - idempotent batch creation
+This API provides the following extensions:
+ - idempotent batch creation
 
-    Note: This API is currently under active development and may undergo changes."
+Note: This API is currently under active development and may undergo changes."
 sidebar_label: Batches
 title: Batches
 ---
@@ -18,14 +18,14 @@ title: Batches
 ## Overview
 
 The Batches API enables efficient processing of multiple requests in a single operation,
-    particularly useful for processing large datasets, batch evaluation workflows, and
-    cost-effective inference at scale.
+particularly useful for processing large datasets, batch evaluation workflows, and
+cost-effective inference at scale.
 
-    The API is designed to allow use of openai client libraries for seamless integration.
+The API is designed to allow use of openai client libraries for seamless integration.
 
-    This API provides the following extensions:
-     - idempotent batch creation
+This API provides the following extensions:
+ - idempotent batch creation
 
-    Note: This API is currently under active development and may undergo changes.
+Note: This API is currently under active development and may undergo changes.
 
 This section contains documentation for all available providers for the **batches** API.

docs/docs/providers/inference/index.mdx

@@ -1,9 +1,9 @@
 ---
 description: "Llama Stack Inference API for generating completions, chat completions, and embeddings.
 
-    This API provides the raw interface to the underlying models. Two kinds of models are supported:
-    - LLM models: these models generate \"raw\" and \"chat\" (conversational) completions.
-    - Embedding models: these models generate embeddings to be used for semantic search."
+This API provides the raw interface to the underlying models. Two kinds of models are supported:
+- LLM models: these models generate \"raw\" and \"chat\" (conversational) completions.
+- Embedding models: these models generate embeddings to be used for semantic search."
 sidebar_label: Inference
 title: Inference
 ---
@@ -14,8 +14,8 @@ title: Inference
 
 Llama Stack Inference API for generating completions, chat completions, and embeddings.
 
-    This API provides the raw interface to the underlying models. Two kinds of models are supported:
-    - LLM models: these models generate "raw" and "chat" (conversational) completions.
-    - Embedding models: these models generate embeddings to be used for semantic search.
+This API provides the raw interface to the underlying models. Two kinds of models are supported:
+- LLM models: these models generate "raw" and "chat" (conversational) completions.
+- Embedding models: these models generate embeddings to be used for semantic search.
 
 This section contains documentation for all available providers for the **inference** API.

llama_stack/apis/agents/agents.py

@@ -819,7 +819,12 @@ class Agents(Protocol):
         tools: list[OpenAIResponseInputTool] | None = None,
         include: list[str] | None = None,
         max_infer_iters: int | None = 10,  # this is an extension to the OpenAI API
-        shields: Annotated[list[ResponseShield] | None, ExtraBodyField("List of shields to apply during response generation. Shields provide safety and content moderation.")] = None,
+        shields: Annotated[
+            list[ResponseShield] | None,
+            ExtraBodyField(
+                "List of shields to apply during response generation. Shields provide safety and content moderation."
+            ),
+        ] = None,
     ) -> OpenAIResponseObject | AsyncIterator[OpenAIResponseObjectStream]:
         """Create a new OpenAI response.
 

llama_stack/schema_utils.py

@@ -6,15 +6,12 @@
 
 from collections.abc import Callable
 from dataclasses import dataclass
-from typing import Any, Generic, TypeVar
+from typing import Any
 
 from .strong_typing.schema import json_schema_type, register_schema  # noqa: F401
 
 
-T = TypeVar("T")
-
-
-class ExtraBodyField(Generic[T]):
+class ExtraBodyField[T]:
     """
     Marker annotation for parameters that arrive via extra_body in the client SDK.
 
@@ -30,7 +27,9 @@ class ExtraBodyField(Generic[T]):
             self,
             input: str,
             model: str,
-            shields: Annotated[list[str] | None, ExtraBodyField("List of shields to apply")] = None,
+            shields: Annotated[
+                list[str] | None, ExtraBodyField("List of shields to apply")
+            ] = None,
         ) -> ResponseObject:
             # shields is available here with proper typing
             if shields:
@@ -40,12 +39,11 @@ class ExtraBodyField(Generic[T]):
         Client usage:
         ```python
         client.responses.create(
-            input="hello",
-            model="llama-3",
-            extra_body={"shields": ["shield-1"]}
+            input="hello", model="llama-3", extra_body={"shields": ["shield-1"]}
         )
         ```
     """
+
     def __init__(self, description: str | None = None):
         self.description = description
 

tests/integration/responses/test_extra_body_shields.py

@@ -25,9 +25,7 @@ def test_shields_via_extra_body(compat_client, text_model_id):
             model=text_model_id,
             input="What is the capital of France?",
             stream=False,
-            extra_body={
-                "shields": ["test-shield-1", "test-shield-2"]
-            }
+            extra_body={"shields": ["test-shield-1", "test-shield-2"]},
         )
 
     # Verify the error message indicates shields are not implemented
@@ -35,8 +33,6 @@ def test_shields_via_extra_body(compat_client, text_model_id):
     assert "not yet implemented" in error_message.lower() or "not implemented" in error_message.lower()
 
 
-
-
 def test_response_without_shields_still_works(compat_client, text_model_id):
     """Test that responses still work without shields parameter (backwards compatibility)."""
 
@@ -70,9 +66,7 @@ def test_shields_parameter_received_end_to_end(compat_client, text_model_id):
             model=text_model_id,
             input="Test message for shields verification",
             stream=False,
-            extra_body={
-                "shields": ["shield-1", "shield-2"]
-            }
+            extra_body={"shields": ["shield-1", "shield-2"]},
         )
 
     # The NotImplementedError proves that: