The best AI agents are secretly teams

Short summary

LangSmith Engine debugs production AI agents by clustering failure traces into patterns and auto-generating fixes as pull requests. It's built as a multi-agent team where a coordinator model delegates to cheaper sub-agents for screening, verification, and memory management. The system learns from its own traces to self-improve while managing inference costs and testing fixes in sandboxes.

• •Multi-agent architecture where coordinator model delegates to cheaper sub-agents for different debugging tasks
• •Auto-generates fixes and pull requests based on clustered production trace failures
• •Self-improving system that learns from its own traces while optimizing inference costs

Generated with AI, which can make mistakes.