Langchain changelog dart Discord server for more details. This release includes a number of breaking changes and deprecations. With May 20, 2024 With the release of LangChain v0. With May 20, 2024 AUTHOR: The LangChain Team We're excited to announce that LangSmith — our unified developer platform for building, testing and monitoring LLM applications — is now SOC 2 Type II compliant. LangSmith now supports OpenTelemetry, bringing distributed tracing and end-to-end visibility to your LLM observability workflow. x, as well as a list of LangChain benchmarks is a Python package with associated datasets to facilitate experimentation and benchmarking of different cognitive architectures. This can enhance type safety, improve code readability, and simplify the July 30, 2024 AUTHOR: The LangChain Team LangSmith now supports bulk data exports, now available in beta for LangSmith Plus and Enterprise plans. LangGraph Cloud lets you build fault-tolerant, scalable agents. This can enhance type safety, improve code readability, and simplify the July 30, 2024 With semantic search for LangGraph’s long-term memory, your agents can now find relevant memories based on meaning, not just exact matches — making it easier to surface the right information across conversations. After a rigorous audit process, LangSmith has been certified to conform to industry best-practices for the protection of data and for security procedures. We now have a new guide shows how to integrate LangGraph with other frameworks as sub-agents. How to Enable: Upgrade to Helm chart version 0. LangGraph Platform provides With LangGraph Platform, we’ve expanded to 🛝 Enter the playground from scratch instead of from a trace or a prompt The Playground is now its own tab in the sidebar of LangSmith. Taking another look at LangChain Open GPTs We launched OpenGPTs a couple months back in response to OpenAI’s GPTs. Check out the latest product updates on the LangChain LaunchNotes page. Reduced redundant calls to langchain. Note: Anthropic integration (ChatAnthropic) is Specifically we made two large architectural changes: separating out langchain-core and separating out partner packages (either into langchain-community or standalone partner packages) from langchain. Use of Pydantic 2 in user code is fully supported with all packages Today, we’re excited to announce the release of LangChain v0. Use of Pydantic 2 in user code is fully 📣 Check out the releases page or the #announcements channel on the LangChain. 3 for both Python and JavaScript! Here's a quick rundown of the key changes and new features: LangGraph You can now write custom code evaluators and run them in the LangSmith UI! Custom code evaluators allow you to evaluate experiments using deterministic and specific criteria - such as checking for valid JSON or evaluating exact matches. 📊 Custom dashboards to monitor LLM app performance Create custom dashboards in LangSmith to track key metrics for your LLM app's performance such as cost, latency, and quality - including feedback from users 🤖 LangGraph Agent Protocol + LangGraph Studio for local execution We’ve taken a big step toward our vision of a multi-agent future by making it easier to connect and integrate agents— regardless of how they’re built. dumps for the same AUTHOR: The LangChain Team We've recently released v0. AUTHOR: The LangChain Team Version-controlled prompts, running prompts over datasets, and more in LangSmith It’s been a little over 1 month since we GA’d LangSmith, and we’re so grateful for all the new users. 2 , we’ve decoupled the langchain package from langchain-community to improve the stability and security of langchain . Whether you're a beginner or an experienced developer, LangGraph Templates provide a clear starting point for building sophisticated, customizable With the release of LangChain v0. This is a game-changer for use cases like customer support agents who need to look up and remember user info during conversations. You can: Manage large workloads with horizontally-scaling servers, task queues, and built-in persistence. 13, including the new interactive interpreter with multi-line editing. We’re excited to announce LangGraph Templates—available now in Python and JavaScript!These templates address common agentic use cases, allowing you to easily configure and deploy them to LangGraph Cloud. Open GPTs is an open source application builder that lets you choose your own models to run and gives you more flexibility when it comes to cognitive architecture. 2 was released in May 2024. Now, nodes can dynamically decide which node to execute We’re highlighting the most exciting ways to use different parts of the LangChain ecosystem – from the gamut of apps being built in LangGraph Cloud, to customer stories on how to test LLM apps reliably. AUTHOR: The LangChain Team Prompt Canvas is our new interactive tool in LangSmith that streamlines the process of creating and optimizing prompts by collaborating with an AI agent. This can enhance type safety, improve code readability, and simplify the We've released Command , a new tool in LangGraph that lets you manage dynamic, edgeless agent flows. 3: Migrating to Pydantic 2 for Python & peer dependencies for JavaScript We’re excited to announce the release of LangChain v0. Now, nodes can dynamically decide which node to execute next, improving flexibility and simplifying complex workflows. AUTHOR: The LangChain Team The LangSmith Self-hosted v0. As a reminder, LangChain v0. We've added semantic search to LangGraph's BaseStore, available today in the open source PostgresStore and InMemoryStore, in LangGraph Studio, For the LangGraph Python library, we've added: Node local state, which lets you attach a state schema different from the graph's schema. You can identify errors and bottlenecks, track key metrics, and gain deeper insights across your stack of programming languages, frameworks, and . This document contains a guide on upgrading to 0. Instead of manually adjusting prompts, get expert insights from an LLM agent so that you can optimize your prompts as you go. LangGraph's latest update gives you greater control over your agents by enabling tools to directly update the graph state. Whether you're collaborating with subject-matter experts (SMEs) or non-technical teams, creating high-quality ground truth is now simpler. 8 release adds a new LangSmith home page, new features including support for custom code evaluators and bulk data export, and improves the reliability and correctness of LangSmith API endpoints. 63 or later to get started. This enables new state management patterns, including: LangGraph Cloud is now available in open beta. These improvements enable more robust tool use in LangChain and reduce the manual effort of writing custom wrappers or interfaces. All packages have been upgraded from Pydantic 1 to Pydantic 2 internally. 3. If you need to analyze your trace data offline in an external tool, this allows you to export data in Parquet format to your own S3 bucket or any S3-compatible storage . 13! You can now build controllable agents with the updated features of Python 3. LangChain benchmarks is a Python package with associated datasets to facilitate experimentation and benchmarking of different cognitive architectures. This is useful if you work with threads with external IDs, so you can use the same code regardless of whether the LangGraph thread already exists. Each November 27, 2023 AUTHOR: The LangChain Team We've improved our trace comparison view in LangSmith, making it faster for you to analyze traces. Perform smooth handoffs in multi-agent systems with Command. Plus, stay ahead LangChain v0. To create a new prompt , simply craft a prompt in the empty playground and click "Save As" to We've shipped a number of updates to the LangGraph Python library! These include the following: Performance Enhancements: We've made significant improvements to streamline processing and reduce overhead, enhancing overall performance while ensuring backwards compatibility. 8. AUTHOR: The LangChain Team We've made several improvements to the open-source LangGraph library: For MessageGraph and add_messages state reducer, a built-in ability to remove a previous message from the list by sending a RemoveMessage(id= message to your messages channel. AUTHOR: The LangChain Team We've improved our core tool interfaces and docs to simplify tool integrations and better handle diverse inputs, plus return complex outputs. Ingest traces in OpenLLMetry format to unify LLM monitoring and system telemetry data. This is a game-changer for use We’ve added a new Diff View feature fix(langchain-core): Pick runnable config keys in asynclocalstorage by @bracesproul in #7324; Full Changelog: 0. We've made a few new improvements to LangGraph Cloud:. Find the charts under Settings > Usage and billing > Usage graph. Each November 27, 2023 Integrations with AutoGen, CrewAI, and More. AUTHOR: The LangChain Team We've redesigned the LangSmith product homepage and made enhancements to Resource Tags for improved organization within your workspaces. 3 is out! What's changed. All of the features can be toggled, so you can customize your view based on your needs. We'll soon be expanding org charts to match workspace dashboards, coming soon to both self-hosted and cloud customers. AUTHOR: The LangChain Team We're thrilled to announce Annotation Rubrics , our latest LangSmith feature designed to streamline guided annotation workflows. 🤖 LangGraph Agent Protocol + LangGraph Studio for local execution We’ve taken a big step toward our vision of a multi-agent future by making it easier to connect and integrate agents— regardless of how they’re built. 210. AUTHOR: The LangChain Team LangGraph's latest update gives you greater control over your agents by enabling tools to directly update the graph state. The homepage is now organized into three key areas to align with core developer workflows: Observability, Evaluation, and Prompt Engineering. . 21 and app version 0. LangChain APIs now allow using Pydantic v2 models for BaseTool and StructuredTool . With With the release of LangChain v0. 22 LangChain APIs now allow using Pydantic v2 models for BaseTool and StructuredTool . AUTHOR: The LangChain Team We've rebranded our service for deploying agents at scale as LangGraph Platform (formerly known as LangGraph Cloud). We now have a SDK/API method to ensure a thread exists. load. AUTHOR: The LangChain Team LangGraph is now compatible with Python 3. Note: The charts are view-only for now. 2 of our LangSmith SDKs (Python and TypeScript) with a number of quality-of-life improvements to make the evals experience more intuitive and flexible: LangChain APIs now allow using Pydantic v2 models for BaseTool and StructuredTool . 3 for both Python and JavaScript ecosystems. 2. 🚀 LangChain v0. This lets you build powerful multi-agent systems by embedding agents from other We've released Command, a new tool in LangGraph that lets you manage dynamic, edgeless agent flows. abohlo dnxmrhc tmodli loexmiz gyqdsw esytvr twvd huvz xtqilwnb gnt