LangChain Changelog

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July 2024

🔎 Filtering runs within the trace view

You can now filter for runs within the trace view in LangSmith. This is especially helpful for long-running agents, which can produce traces with hundreds,...

🔑 Enhanced Key-Value Search: Matching inputs and outputs

Users can now filter traces or runs by JSON key-value pair in inputs or outputs. This creates a more powerful search experience in LangSmith, as you can...

🪝 Webhook notifications for run rules

We now allow for the configuration of headers per webhook URL (stored in an encrypted format). When you add a webhook URL on an automation action in...

🛝 Build prompts faster and compare in LangSmith Playground

No more juggling tabs or context-switching — you can now compare multiple prompts and model configurations side-by-side in LangSmith's Playground. Build,...

🇪🇺 EU Data Residency for LangSmith

We're excited to offer EU data residency to LangSmith customers on all plan tiers, at no extra cost. You can now choose to host your data in the EU (instead...

🧵 Improved thread management and batch processing

We've made a few new improvements to LangGraph Cloud:

🔒 LangSmith is now SOC 2 Type II compliant

We're excited to announce that LangSmith — our unified developer platform for building, testing and monitoring LLM applications — is now SOC 2 Type II...

June 2024

LangSmith LangGraph

☁ 🚀 LangGraph Cloud: Deploy at scale, monitor carefully, iterate boldly

LangGraph Cloud is now in closed beta, offering scalable, fault-tolerant deployment for LangGraph agents. Deploy in one-click and get an integrated tracing &...

🔁 Self-improving LLM evaluators in LangSmith

Using an “ LLM-as-a-Judge ” is a popular way to grade outputs from LLM applications. This involves passing the generated output to a separate LLM and asking...

🧷 Store the model and configuration when saving a prompt

When you save a prompt in LangSmith, the model and its configuration will also be stored. You no longer need to reset your preferences in the Playground...

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