How do I configure max_turns for a LoopAgent?

[NGC2336]

I'm building a multi-agent pipeline with LoopAgent and want to cap the
number of iterations. What's the correct way to set max_turns and does it
propagate to sub-agents?

Using ADK Python 0.4.0, Vertex AI backend.

[adk-bot]

Response from ADK Answering Agent (experimental, answer may be inaccurate)

TLDR: To control the number of iterations in a LoopAgent, use the max_iterations parameter, not max_turns. This setting controls the loop count for the LoopAgent itself and does not propagate to its sub-agents.

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Hello! Thanks for your question.

To cap the number of iterations for a LoopAgent, you should set the max_iterations parameter in its constructor. The max_turns parameter is not used for this purpose. The loop will stop when the number of iterations reaches max_iterations or if a sub-agent returns an event with escalate=True.

Here is an example of how to configure it:

from google.adk.agents import LoopAgent

# This will limit the LoopAgent to a maximum of 5 iterations.
loop_agent = LoopAgent(
    sub_agents=[
        # ... your sub-agents here
    ],
    max_iterations=5
)

Regarding your second question, the max_iterations parameter only affects the LoopAgent and is not propagated to the sub-agents. Each sub-agent within the LoopAgent is invoked once per iteration of the loop, and they don't inherit the max_iterations setting.

I hope this helps clarify how to configure your LoopAgent!

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This response was generated by an automated assistant. Please note that the information provided is based on the ADK documentation and may not cover all edge cases.