Implement Compliance Checking Tool and Agent Workflow

Develop a new tool `check_policy_compliance(policy_text: str, log_data: str)` that uses Claude 4 Sonnet to analyze an internal policy document and Gemini 3 Flash to cross-reference simulated operational log data for compliance violations. Integrate this tool into your LlamaIndex agent. The agent should be able to receive a policy and log, call the tool, and report the compliance status, explaining any violations. Focus on the secure handling of this sensitive data. ```python
# Assume agent setup and LLM clients are ready def check_policy_compliance(policy_text: str, log_data: str) -> str: """Checks operational logs against a policy document for compliance.""" # Example: use Claude 4 Sonnet for policy understanding # Then use Gemini 3 Flash for logical comparison with log_data # This part would involve actual LLM calls and careful prompt engineering # to ensure secure processing and accurate violation detection. # Simulate LLM output: if "data access requests" in policy_text and "approved_by" in log_data and "1 manager" in log_data: return "Compliance Status: Non-compliant. Violation: Data access not approved by two managers." return "Compliance Status: Compliant." compliance_tool = FunctionTool.from_defaults(fn=check_policy_compliance) # Your task: Add this tool to your ReActAgent and demonstrate a query that uses it.
```