Apply patch [skip ci]

This commit is contained in:
open-swe[bot]
2025-08-11 20:08:34 +00:00
parent 665792bbd2
commit f5b007c196
@@ -774,6 +774,100 @@ def create_react_agent(
response = await model_with_structured_output.ainvoke(messages, config)
return {"structured_response": response}
def respond(
state: StateSchema, runtime: Runtime[ContextT], config: RunnableConfig
) -> StateSchema:
"""Handle structured response creation when response schema tool is called."""
messages = _get_state_value(state, "messages")
last_message = messages[-1]
if not isinstance(last_message, AIMessage) or not last_message.tool_calls:
raise ValueError("Expected last message to be AIMessage with tool calls")
# Find the response schema tool call
response_tool_call = None
for tool_call in last_message.tool_calls:
if tool_call["name"] == response_tool_name:
response_tool_call = tool_call
break
if response_tool_call is None:
raise ValueError(f"Expected tool call with name '{response_tool_name}'")
# Extract the actual schema from tuple if needed
actual_schema = response_format
if isinstance(response_format, tuple):
_, actual_schema = response_format
# Coerce tool call arguments into response schema
try:
if hasattr(actual_schema, '__call__'):
# For BaseModel classes
structured_response = actual_schema(**response_tool_call["args"])
else:
# For dict schemas, just return the args
structured_response = response_tool_call["args"]
except Exception as e:
raise ValueError(f"Failed to coerce tool call args into response schema: {e}")
# Create artificial tool message
tool_message = ToolMessage(
content="Here is your structured response",
tool_call_id=response_tool_call["id"]
)
return {
"messages": [tool_message],
"structured_response": structured_response
}
async def arespond(
state: StateSchema, runtime: Runtime[ContextT], config: RunnableConfig
) -> StateSchema:
"""Async handle structured response creation when response schema tool is called."""
messages = _get_state_value(state, "messages")
last_message = messages[-1]
if not isinstance(last_message, AIMessage) or not last_message.tool_calls:
raise ValueError("Expected last message to be AIMessage with tool calls")
# Find the response schema tool call
response_tool_call = None
for tool_call in last_message.tool_calls:
if tool_call["name"] == response_tool_name:
response_tool_call = tool_call
break
if response_tool_call is None:
raise ValueError(f"Expected tool call with name '{response_tool_name}'")
# Extract the actual schema from tuple if needed
actual_schema = response_format
if isinstance(response_format, tuple):
_, actual_schema = response_format
# Coerce tool call arguments into response schema
try:
if hasattr(actual_schema, '__call__'):
# For BaseModel classes
structured_response = actual_schema(**response_tool_call["args"])
else:
# For dict schemas, just return the args
structured_response = response_tool_call["args"]
except Exception as e:
raise ValueError(f"Failed to coerce tool call args into response schema: {e}")
# Create artificial tool message
tool_message = ToolMessage(
content="Here is your structured response",
tool_call_id=response_tool_call["id"]
)
return {
"messages": [tool_message],
"structured_response": structured_response
}
if not tool_calling_enabled:
# Define a new graph
workflow = StateGraph(state_schema=state_schema, context_schema=context_schema)
@@ -994,3 +1088,4 @@ __all__ = [