LangChain launched Engine, an agent that autonomously investigates traces and drafts PRs to improve other agents.
“We're working towards a future where agents improve themselves.”
langsmith
12 tracked signals on langsmith.
LangChain launches LangSmith fine-tuning in public beta with SmithTune, a CLI to post-train models from agent traces.
“today we're launching LangSmith fine-tuning in public beta with SmithTune, a CLI to allow you to post-train models from your LangSmith traces in one workflow”
Salesforce AgentForce uses LangSmith to standardize evals across teams at scale
“LangSmith helps us to amplify our internal expertise, allowing us to run thousands and thousands of test cases.”
LangSmith Sandboxes gives AI agents isolated, scalable compute environments spinning up in under a second
“The question isn't whether agents need computers. It's how you give them one, safely.”
LangSmith Engine and Context Hub turn agent traces into durable, versioned long-term memory for continual learning.
“Most agents don't learn, they just leave traces.”
Cisco built an agentic feedback loop turning production thumbs-down signals into merged PR fixes with human oversight.
“every thumbs up is a lead. Every trace with an error is a potential regression. And every confused user is a description of a gap that needs to be addressed.”
LangChain has evolved from an open source framework into a full agent development lifecycle platform anchored by LangSmith.
“Turns out building the agent is really fun. Super fun. And kind of easy now, but actually keeping it from going completely sideways in production is the hard part.”
LangChain frames agent governance as a new engineering discipline requiring cost, reliability, and compliance controls.
“Production agents introduce a different risk profile than traditional LLM apps. They have greater autonomy, meaning they have a greater need for visibility and control.”
LangChain adds support to deploy Google ADK agents directly on LangSmith Deployment.
“You can now deploy a Google ADK agent straight to Langsmith Deployments.”
Odessia uses LangSmith Engine to debug agent traces and democratize agent development across non-expert team members.
“There's this democratization where a lot more people on the team can now contribute.”
LangSmith is LangChain's framework-agnostic platform for tracing, testing, deploying, and monitoring LLM agents.
“Agents are a black box, making them difficult to observe and debug.”
LangChain introduces LangSmith Custom Apps for building custom interfaces around agent data