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Orchestrate Multi-Agent Research and Integrate Gentrace

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Build an Advanced Visual Web Agent with OpenAI Agents SDK and GPT-5 Pro

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Linked challenge
Build an Advanced Visual Web Agent with OpenAI Agents SDK and GPT-5 Pro

Prompt source

Original prompt text with formatting preserved for inspection.

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Introduce a new 'ResearchAnalyst' agent, also powered by GPT-5 Pro. This agent will collaborate with the VisualNavigator to analyze web content and summarize findings. Utilize Portia AI to define roles and responsibilities for both agents. Integrate Gentrace to trace agent interactions, tool calls, and model outputs, allowing for detailed performance monitoring and debugging of the collaborative workflow. Create a scenario where the ResearchAnalyst instructs the VisualNavigator to gather data for a subscriber analysis report from a simulated Beehiiv dashboard.

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.