LangChain Changelog

Sign up for our newsletter to stay up to date

Powered by LaunchNotes

Loading...

July 2024

LangGraph LangGraph Platform

🧵 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

LangGraph LangGraph Platform

☁ 🚀 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...

✂️ Trim messages with transformer utils

Processing LangChain messages is now easier in both Python and JavaScript with our new message transformers. The new trim_messages util in LangChain covers a...

🧷 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...

🛝 Custom models in LangSmith Playground

Once you’ve deployed a model server, use it in the LangSmith Playground by selecting either ChatCustomModel or the CustomModel provider for chat-style model...

🥷 PII Masking in LangSmith

LangSmith SDK versions now have enhanced PII masking capabilities. You can easily create anonymizers by specifying a list of regular expressions or providing...

📁 Workspaces in LangSmith for improved collaboration & organization

LangSmith now offers Workspaces to separate resources for different teams or different environments. Admins can add users to Workspaces, granting them...

🗺️ Variable mapping for online evaluator prompts

In LangSmith, you can now use any structured prompt from the LangChain Hub with customizable variables. You can personalize your inputs based on recent runs...

Powered by LaunchNotes