Troubleshooting Handoff Issues in LlamaIndex

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Based on the knowledge sources provided, I can offer some insights into the can_handoff_to functionality in LlamaIndex and potential reasons why you might be experiencing issues with agent handoffs. However, the information available doesn't provide a definitive answer to your specific problem. Let's explore what we know:

1. The can_handoff_to parameter is used in the AgentWorkflow to define which agents a particular agent can hand off control to. This is part of the multi-agent workflow system in LlamaIndex.

1. According to the AgentWorkflow documentation, when an agent is set up with can_handoff_to, a special handoff tool is added to that agent's tools if it can hand off to others.

1. The handoff process is managed by the AgentWorkflow class. When a handoff occurs, the workflow should switch to the new agent. This is mentioned in the detailed look at the workflow.

1. If a handoff occurs, it will not be added to the chat history to maintain the conversation flow.

Given that your agent is passing to another agent but not receiving a response, there could be several reasons for this:

1. The receiving agent might not be properly configured or initialized.
2. There might be an issue with the handoff tool or how it's being called.
3. The workflow might not be correctly switching to the new agent after the handoff.

To troubleshoot this issue, you could try the following:

1. Enable debug logging to get more detailed information about what's happening during the handoff process. You can do this by adding the following code at the beginning of your script:

```python
import logging
import sys

logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))
python
import llama_index.core

llama_index.core.set_global_handler("simple")
`` 3. Review your agent configurations, especially the can_handoff_to` parameters, to ensure they're set up correctly.

1. Check that all agents in your workflow are properly initialized and have the necessary tools and prompts.

If you're still facing issues after trying these steps, you might want to create a minimal reproducible example and seek help from the LlamaIndex community or support channels, as the problem might be specific to your implementation.

LlamaIndex Tracing and Debugging
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