people · May 18, 2026
LangSmith Engine Enables Always-On Self-Improvement Loop for Agents
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Viv from LangChain described LangSmith Engine as the mechanism for spinning always-on self-improvement loops for every agent on May 17, 2026. Tracing runs on every single agent while SmithDB handles data volumes larger than any human-produced data. Ambient agentic intelligence scans traces for errors, product insights, or custom needs, generating PRs and evals from the data with human acceptance gating. The post received 120 likes, 9 reposts, and 86 bookmarks.
Spend governor blocked model creation: provider_circuit_open (lane=dev, provider=together)