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Orchestrating Agents with EvoAgentX and Secure Access
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Linked challenge: Secure AI Policy Agent with OpenAI Agents SDK and Llama 4 Maverick
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Linked challenge
Secure AI Policy Agent with OpenAI Agents SDK and Llama 4 Maverick
Prompt source
Original prompt text with formatting preserved for inspection.
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Design a multi-agent orchestration pattern using EvoAgentX to combine the 'Sentiment Analyst' with a 'Policy Draftsman' agent (also built with OpenAI Agents SDK). Describe how Strata Identity would ensure that the 'Policy Draftsman' agent only accesses relevant internal company guidelines and not raw, sensitive employee data. Illustrate the flow of information between these agents.
Adaptation plan
Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.
Keep stable
Hold the task contract and output shape stable so generated implementations remain comparable.
Tune next
Update libraries, interfaces, and environment assumptions to match the stack you actually run.
Verify after
Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.