Question

You are orchestrating a multi-agent solution in Azure AI Foundry for an insurance claims workflow. A 'Triage' agent classifies incoming claims and must pass the extracted claim number, policy ID, and damage category to a downstream 'Assessment' agent that runs in a separate thread. The Assessment agent frequently fails because it receives a natural-language summary rather than the exact structured field values, causing lookup errors. What is the most reliable way to transfer this data between the agents?

Accepted Answer

Define a structured output schema for the Triage agent and pass the validated JSON object as explicit input parameters to the Assessment agent's invocation.

Answer

Increase the Assessment agent's max_tokens so it can parse the longer natural-language summary from the Triage agent.

Answer

Lower the temperature on the Triage agent to 0 so its natural-language summary becomes deterministic and easier to parse.

Answer

Store the summary in each agent's conversation memory and rely on thread continuity to share the values.