How to use llm outputs in the on_handoff function

[Salaudev]

Hi everyone!
I'm trying to creation agent that will extract load details and detect warnings
After that it should handoff to another agent

so when it extracted the details we need to send request to another service to visualize them
I want to do it using on_handoff , is there any way to get LLM output on this function ?

def update_details() -> str:
    # send request to update details with A structure
    # send request to upsert warnings with B structure
    return details

# Define the agents
extractor_agent = Agent[OrchestratorContext](
    name="Triage Agent",
    instructions=prompt_with_handoff_instructions(
        "You are responsible to extract the load details ...."
    ),
    model=OpenAIChatCompletionsModel(
        model=os.getenv("AZURE_OPENAI_DEPLOYMENT_NAME"), openai_client=azure_client
    ),
    handoffs=[handoff(agent=intent_detector_agent, on_handoff=update_details)]
)

[Salaudev]

@rm-openai can you help with this please ?

[rm-openai]

Yeah you can do this, would it work?

class LoadData(BaseModel):
  some_field: str
  ...

async def update_details(ctx: RunContextWrapper, input: LoadData):
 ...

handoff_obj = handoff(agent=intent_detector_agent, on_handoff=update_details, input_type=LoadData)

extractor_agent = Agent(..., handoffs=[handoff_obj])

[Salaudev]

Yeah you can do this, would it work?

class LoadData(BaseModel):
  some_field: str
  ...

async def update_details(ctx: RunContextWrapper, input: LoadData):
 ...

handoff_obj = handoff(agent=intent_detector_agent, on_handoff=update_details, input_type=LoadData)

extractor_agent = Agent(..., handoffs=[handoff_obj])

no no
in the on_handoff function I need to use LLM output result

extractor_agent extracted some details and handoff to the next agent
when handoff happened I need to change the context

[rm-openai]

@Salaudev got it. Its not possible right now, but I'm working on adding the message history to the context in #572. Hopefully ready soon.

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