Implement Core Agent Logic with Tool Use

implementationChallenge

Prompt Content

Implement the core logic for the 'Policy Analyzer' agent using the Claude Agents SDK. This agent should be responsible for taking processed document chunks, identifying relevant policies, and using Claude Opus 4.6 to detect potential compliance breaches or ambiguities. Define a custom tool for this agent that can 'look up' regulatory references from a simulated database. Show how to integrate this tool within the Claude Agents SDK framework. Assume you have `anthropic.agents` imported and an `AsyncAnthropicAgent` class to work with.

Try this prompt

Open the workspace to execute this prompt with free credits, or use your own API keys for unlimited usage.

Related Prompts

Explore similar prompts from our community

Agent System Architecture Design

planning

Integrate Observability with Braintrust and LangFuse

implementation

Build a Streamlit Interface for Agent Interaction

implementation

Usage Tips

Copy the prompt and paste it into your preferred AI tool (Claude, ChatGPT, Gemini)

Customize placeholder values with your specific requirements and context

For best results, provide clear examples and test different variations