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Based on the information provided in the knowledge sources, I can offer some insights into your multi-agent workflow issue with LlamaIndex. It seems you're using the
AgentWorkflow
class to create a multi-agent system, but encountering an issue with tool execution and agent handoff. Let's break down the problem and potential solutions:
- Agent and Tool Setup:
Make sure you've properly set up your agents and their respective tools. Each agent should have a clear definition of its responsibilities and the tools it can use. For example:
research_agent = FunctionAgent(
name="ResearchAgent",
description="Useful for searching the web for information on a given topic and recording notes on the topic.",
system_prompt="...",
llm=llm,
tools=[search_web, record_notes],
can_handoff_to=["WriteAgent"],
)
Ensure that each agent has the correct
can_handoff_to
parameter set, indicating which agents it can hand off control to.
- AgentWorkflow Configuration:
Verify that your AgentWorkflow
is correctly configured with all the agents and the root agent:
agent_workflow = AgentWorkflow(
agents=[research_agent, write_agent, review_agent],
root_agent=research_agent.name,
initial_state={
"research_notes": {},
"report_content": "Not written yet.",
"review": "Review required.",
},
)
- Handoff Mechanism:
The handoff between agents is managed by the AgentWorkflow
class. After a tool execution, the workflow should automatically handle the handoff to the next agent. If this isn't happening, there might be an issue with the handoff logic or the way the agents are communicating their intent to hand off control.