Qc Validator

A validation layer that sits between your AI agent and its output. Exposes six tools: validate_output scores responses against length limits and keyword requirements, check_hallucination_risk flags unsupported claims by checking sentence grounding against source text, and check_scope_compliance enforces topic boundaries and required sections. The last three tools (log_validation, get_failure_patterns, generate_quality_report) track validation history per agent so you can spot recurring failure modes. Everything runs in memory with no external dependencies. Reach for this when you need programmatic guardrails on agent responses, especially if you're building multi-agent systems where output quality varies and you want telemetry on which agents drift off scope or hallucinate most often.