feedback: fix docstring

Author: NicolasPllr1

pydantic_ai_slim/pydantic_ai/_output.py

@@ -654,7 +654,6 @@ async def process(
         Args:
             data: The output data to validate.
             run_context: The current run context.
-            validation_context: Additional Pydantic validation context for the current run.
             allow_partial: If true, allow partial validation.
             wrap_validation_errors: If true, wrap the validation errors in a retry message.
 

pydantic_ai_slim/pydantic_ai/_run_context.py

@@ -39,7 +39,7 @@ class RunContext(Generic[RunContextAgentDepsT]):
     messages: list[_messages.ModelMessage] = field(default_factory=list)
     """Messages exchanged in the conversation so far."""
     validation_context: Any = None
-    """Additional Pydantic validation context for the run outputs."""
+    """Pydantic [validation context](https://docs.pydantic.dev/latest/concepts/validators/#validation-context) for the run outputs."""
     tracer: Tracer = field(default_factory=NoOpTracer)
     """The tracer to use for tracing the run."""
     trace_include_content: bool = False

pydantic_ai_slim/pydantic_ai/agent/__init__.py

@@ -253,7 +253,7 @@ def __init__(
             model_settings: Optional model request settings to use for this agent's runs, by default.
             retries: The default number of retries to allow for tool calls and output validation, before raising an error.
                 For model request retries, see the [HTTP Request Retries](../retries.md) documentation.
-            validation_context: Additional [validation context](https://docs.pydantic.dev/latest/concepts/validators/#validation-context) used to validate all outputs.
+            validation_context: Pydantic [validation context](https://docs.pydantic.dev/latest/concepts/validators/#validation-context) used to validate all outputs.
             output_retries: The maximum number of retries to allow for output validation, defaults to `retries`.
             tools: Tools to register with the agent, you can also register tools via the decorators
                 [`@agent.tool`][pydantic_ai.Agent.tool] and [`@agent.tool_plain`][pydantic_ai.Agent.tool_plain].