LangChain launches LangSmith Fine-Tuning: train specialized models from your agent traces
LangChain · x · 2026-09-25
LangChain officially announced LangSmith Fine-Tuning and the smithtune CLI, now in public beta. Built in partnership with Baseten and FireworksAI, it lets LangSmith handle the entire fine-tuning process — using collected agent traces to train specialized models that cut cost and latency.
The team argues one of AI's hardest problems today is a data problem: turning raw trajectories into environments and curated trajectories to improve agents is difficult, since current agents aren't good at data curation. LangChain Labs aims to help teams close the end-to-end loop from raw data to better agents via post-training and harness engineering.
Related event: LangChain Launches LangSmith Fine-Tuning Beta with smithtune CLI(11 posts)→
More from coding & agent
- Pigment Agents now reads and posts in Slack, inheriting user permissions — mattturck · 2026-11-12
- Map of the agent economy: 50+ startups across payments, spend control, identity, memory — venturetwins · 2026-11-12
- OpenCode launches Browse, an on-device browser agent with local logins — Saul_Loveman · 2026-11-12
- VentureTwins maps the B2A economy: dozens of agent infra and app companies in first series installment — venturetwins · 2026-11-12
- Google releases 76-page 'Agents Companion' whitepaper on agent engineering — mdancho84 · 2026-11-12
- Spinning up containers for 20-line agent tools is backwards: Safescript compiles provable, 50ms-deploy apps — uriwa · 2026-11-12