Show HN: Task Orchestrator – Production Safety for Claude Code Agents (github.com)

Task Orchestrator has been launched as a new framework designed to enhance production safety for Claude Code agents. It addresses a critical gap in AI operations, as highlighted by the Cleanlab AI Agents Report, which noted that less than one in three teams are satisfied with current AI agent guardrails. The Task Orchestrator introduces an "immune system" that not only detects semantic failures like hallucinations and incorrect answers but also employs machine learning to prevent the recurrence of these mistakes. Key features include human-in-the-loop controls for sensitive tasks, real-time budget tracking for cost management, and dynamic tool loading to optimize context usage. This innovation is significant for the AI/ML community as it elevates the reliability and observability of AI agents in production environments. Task Orchestrator supports multiple large language model (LLM) providers, including Gemini and OpenAI, and enables complex task execution through parallel agent spawning. It incorporates mechanisms for automatic recovery and circuit breakers, ensuring resilience against failures. The combination of proactive failure prediction and a comprehensive evaluation system that utilizes both code-based and model-based graders positions the Task Orchestrator as a foundational tool for developers looking to deploy AI-driven solutions with higher assurance and accountability.