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Deployment and Tool Integration with Modal

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

Linked challenge: Structured M&A Due Diligence with Pydantic AI, GPT-5, and Claude Sonnet 4

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Linked challenge
Structured M&A Due Diligence with Pydantic AI, GPT-5, and Claude Sonnet 4

Prompt source

Original prompt text with formatting preserved for inspection.

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Demonstrate how to deploy your Pydantic AI agents on Modal, leveraging its serverless capabilities for efficient inference with Amazon Bedrock. Create a custom 'Enterprise API Connector' tool (represented by a Pydantic model for its schema) that agents can call to fetch simulated real-time market data or legal precedent. Show the Modal setup for deploying agents and how agents would interact with this Pydantic-defined tool.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Preserve the source structure until you know which part of the prompt is actually driving the result quality.

Tune next

Change domain facts, examples, and tool context first before you rewrite the instruction scaffold.

Verify after

Validate one failure mode at a time so prompt changes stay attributable instead of getting noisy.