Multimodal support in LangSmith
LangSmith now supports images, PDFs, and audio files across the playground, annotation queues, and datasets — making it easier than ever to build, test, and...
LangGraph v0.4: Working with Interrupts
Just shipped LangGraph v0.4! This release brings major upgrades for working with interrupts: • Interrupts are now surfaced automatically when you call...
LangSmith Self-Hosted v0.10
This release brings alerting, UI‐driven experiment workflows, end-to-end OpenTelemetry support and a host of new capabilities alongside several bug fixes....
Catch Production Failures Early with Alerts in LangSmith
Set up real‑time notifications on error rates, run latency & feedback scores to spot failures before your customers do. If you’re already sending production...
LangChain Python updates: Improved content blocks, retry logic, and more
Now in LangChain Python: Better content blocks, retry logic, integrations & smarter agent support. Core updates: New integrations: Other improvements:
Run interactive evals with the LangSmith Playground
You can now create datasets inline and add examples to existing datasets without leaving the Playground. This update makes building a dataset to evaluate LLM...
llms.txt Files and MCPDOC Server Launch for LangChain and LangGraph
We've introduced llms.txt files for LangChain and LangGraph, supporting both Python & JavaScript! These help your IDEs & LLMs access the latest...
Run evaluators in the LangSmith UI
We've made evaluations even easier to set up! You can now define evaluators for datasets and tracing projects directly in the UI —no code required. After...
Universal token counting callback for LangChain Python
We've added a new callback/context manager that tracks token usage across all major LangChain chat models, including support for: Docs:...
End-to-end native OpenTelemetry support for LangSmith SDK
Introducing End-to-End OpenTelemetry Support in LangSmith LangSmith now supports full end-to-end OpenTelemetry (OTel) for LangChain and LangGraph...