Fact-checks and fixes AI outputs by catching hallucinations, repairing broken JSON, and correcting errors before they reach users, with tools for verification, validation, and correction.
Enables LLMs to execute and validate autonomous multi-agent workflows with tools for workflow execution, output validation, and execution logging, plus resources and prompts for task decomposition and error recovery.
Enables secure coordination between multiple LLM agents through authenticated messaging, status updates, and conversation management. Features automatic secret redaction, rate limiting, and audit trails for safe multi-agent collaboration in development environments.