Langchain changelog Saving Configurations. These improvements enable more robust tool use in LangChain and reduce the manual effort of writing custom wrappers or interfaces. 13! You can now build controllable agents with the updated features of Python 3. This feature enables seamless login through a single identity provider (IdP) such as Okta or Entra ID (formerly Azure AD). 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. 3 for both Python and JavaScript! Here's a quick rundown of the key changes and new features: LangGraph Integrations with AutoGen, CrewAI, and More. How It Works. Edit smarter: Update names or For the LangGraph Python library, we've added: Node local state, which lets you attach a state schema different from the graph's schema. 6 json mode standard test multiple: fix xfailed signatures multiple: push deprecation removals to 1. A LangGraph Memory Agent showcasing a LangGraph agent that manages its own memory. Admins can now centrally manage team access, streamlining the process of granting or removing permissions. AUTHOR: The LangChain Team We've rebranded our service for deploying agents at scale as LangGraph Platform (formerly known as LangGraph Cloud). Go to the Commits tab in the Prompt Hub. 2 for increased customization with new checkpointer libraries. 24. Reduced redundant calls to langchain. fireworks: fix lint partners/fireworks: release 0. g. Each benchmark task targets key functionality within common LLM applications, such as retrieval-based Q&A, extraction, agent tool use, and more. You can now use the rate limiter for any chat model, available as of langchain-core 0. 8. With May 20, 2024 🛝 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. We'll soon be expanding org charts to match workspace dashboards, coming soon to both self-hosted and cloud customers. This can enhance type safety, improve code readability, and simplify the integration of tools and chat models. Each November 27, 2023 We've launched our newest feature, data annotation queues, in LangSmith (our SaaS platform for managing your LangChain applications). 2 was released in May 2024. We've made a few new improvements to LangGraph Cloud:. To create a new prompt , simply craft a prompt in the empty playground and click "Save As" to New to LangChain Templates . Create a Tag: Tag commits in the prompt’s history via the commits tab. load. SSO ensures that organizations AUTHOR: The LangChain Team You can now organize your Workspace in LangSmith with resource tags. 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. Why annotation rubrics are useful: Better ground truth creation: Guided rubrics reduce ambiguity, helping SMEs produce accurate and consistent annotations. 63 or later to get started. LangChain LangSmith LangGraph. Read more in the docs. This can enhance type safety, improve code readability, and simplify the July 30, 2024 Regression testing, hotkeys, and more in LangSmith. 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. Move a Tag: Reassign tags to different commits with a simple click. Key features of Prompt Tags: Tag management: Manage tags in the following ways:. Whether you're a beginner or an experienced developer, LangGraph Templates provide a clear starting point for building sophisticated, customizable 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. Access with ease: Use the Model configuration dropdown to view all your saved setups. AUTHOR: The LangChain Team LangSmith’s online evaluator (LLM-as-judge) automatically runs on production traces with a customizable prompt and automation rules. AUTHOR: The LangChain Team You can now generate synthetic examples for your datasets in LangSmith. A LangGraph. 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. After a rigorous audit process, LangSmith has been certified to conform to industry best-practices for the protection of data and for security procedures. humans can approve or edit agent actions) and first-class streaming support. You can now choose to host your data in the EU (instead of the U. Changes to the prompt, retrieval strategy, or model choice can have big implications on the responses produced by your LangChain 🧬 Build generative UI applications with LangChain in JavaScript/TypeScript and Python Using streaming agent events and tool calls to pick pre-built components, you can now use generative UI to improve your chatbot with interactable components. LangChain benchmarks is a Python package with associated datasets to facilitate experimentation and benchmarking of different cognitive architectures. This enables new state management patterns, including: LangChain has a built-in memory rate limiter that can help you avoid exceeding the maximum rate of requests allowed by the chat model provider. Effortless collaboration: Non-technical teams can now onboard Check out the latest product updates on the LangChain LaunchNotes page. Tutorials: step-by-step guides on how to build specific applications (e. 5. 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: 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. The new trim_messages util in LangChain covers a 📊 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 With the release of LangChain v0. Streaming runs are now powered by the job queue used for background runs. This can enhance type safety, improve code readability, and simplify the July 30, 2024 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. AUTHOR: The LangChain Team For LLM use cases like text generation or chat (where there may not be a single "correct" answer), picking a preferred response with pairwise evaluation can be an effective approach. Save your settings quickly: Adjust the model settings and click the Save As button in the bottom bar. Find the charts under Settings > Usage and billing > Usage graph. AUTHOR: The LangChain Team When building a dataset iteratively for an LLM app, having a defined schema for testing across examples lets you avoid broken code and keep your data clean and consistent. Stable references in Code: Use tags instead of commit hashes LangChain APIs now allow using Pydantic v2 models for BaseTool and StructuredTool. 21 and app version 0. Now, only public prompts require a handle on creation. Blog Case Studies LangChain Academy Community Changes since langchain-fireworks==0. . To create a new prompt , simply craft a prompt in the empty playground and click "Save As" to AUTHOR: The LangChain Team LangSmith now supports bulk data exports, now available in beta for LangSmith Plus and Enterprise plans. AUTHOR: The LangChain Team LangGraph is now compatible with Python 3. images, audio, videos, PDF) directly with examples in your datasets. AUTHOR: The LangChain Team We've recently released v0. Instead of manually adjusting prompts, get expert insights from an LLM agent so that you can optimize your prompts as you go. Homepage Repository (GitHub) View/report issues Contributing. Introducing LangGraph. x, as View Source Changelog v0. New accounts won’t need to create a LangChain Hub handle until a public prompt is made. LangChain APIs now allow using Pydantic v2 models for BaseTool and StructuredTool . Our new off-the-shelf evaluators give you a custom prompt that can: We’ve updated our docs for LangChain v0. Enhanced trace revision: Clear feedback structures simplify identifying issues in LLM evaluations, leading to faster and more reliable iterations. 🤖 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. Ingest traces in OpenLLMetry format to unify LLM monitoring and system telemetry data. Security and compliance are important to us and our growing list of enterprise customers. 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 to be separated into:. You can now run multimodal LLM AUTHOR: The LangChain Team Users can now filter traces or runs by JSON key-value pair in inputs or outputs. This builds upon our latest stable release of LangGraph v0. LangGraph v0. LangChain documentation is versioned and documentation for previous versions will remain live at the Build powerful LLM-based Dart and Flutter applications with LangChain. , "dev", We've released Command, a new tool in LangGraph that lets you manage dynamic, edgeless agent flows. To run memory tasks in the background, we've also added a template Enhanced tool compatibility - Tool use is supported in the Playground for all LangChain models that support tool calling - giving you even more flexibility in your testing and development Unified layout - The playground is deeply embedded within LangSmith. Topics. 2. We've improved our trace comparison view in LangSmith, making it faster for you to analyze traces. This is especially useful for building and debugging multimodal LLM workflows. When you add a webhook URL on an automation action in LangSmith, we will make a POST request to your webhook endpoint any time the rules you defined match any new runs. Check out the latest product updates on the LangChain LaunchNotes page. AUTHOR: The LangChain Team LangSmith — our unified developer platform for building, testing, and monitoring LLM applications — is now GDPR compliant. Perform smooth handoffs in multi-agent systems with Command. Managing Saved Configurations. LangChain v0. We now have a new guide shows how to integrate LangGraph with other frameworks as sub-agents. Now, nodes can dynamically decide which node to execute next, improving flexibility and simplifying complex workflows. LangChain Templates are the easiest way to get started building GenAI applications. Compare a commit with its previous version or explore changes across multiple commits. 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. We’ve improved our SDK and LangSmith Prompts UI to make navigating prompts simpler. 🛝 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. All of the features can be toggled, so you can customize your view based on your needs. You can easily create anonymizers by specifying a list of regular expressions or providing transformation methods for extracted string values (in both input and output). AUTHOR: The LangChain Team LangSmith now supports uploading arbitrary binary files (such as images, audio, videos, and PDFs) with your traces. 3 for both Python and JavaScript! Here's a quick rundown of the key changes and new features: LangGraph AUTHOR: The LangChain Team You can now create agents that work with any tool calling model. You can identify errors and bottlenecks, track key metrics, and gain deeper insights across your stack of programming languages, frameworks, and LangChain benchmarks is a Python package with associated datasets to facilitate experimentation and benchmarking of different cognitive architectures. Resource tags help you efficiently manage, group, search, and filter through resources in your workspace. With LangSmith, you can now define and flexibly manage dataset schemas. This can enhance type safety, improve code readability, and simplify the July 30, 2024 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. LangGraph helps construct a powerful agent executor that allows for loops in logic while keeping track of application state. This document contains a guide on upgrading to 0. This creates a more powerful search experience in LangSmith, as you can match the exact fields in your JSON inputs and outputs (instead of only keyword search). We have dozens of examples that you can adopt for your own use cases, giving you starter code AUTHOR: The LangChain Team No more juggling tabs or context-switching — you can now compare multiple prompts and model configurations side-by-side in LangSmith's Playground. Using the dataset schema you've defined, we generate new examples based on existing ones with the help of LangSmith now supports SAML Single Sign-On (SSO) for Enterprise cloud customers. With data annotation How to Enable: Upgrade to Helm chart version 0. dart. Delete a Tag: Remove tags as needed without affecting the commits. Check out the how-to guide here to see how to initialize the rate limiter. 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. Our new standardized tool calling interface allows you to switch between different LLM providers more easily, saving you time and effort. Build, test, and iterate rapidly: comparatively create prompts, experiment with changes, and evaluate on datasets in a single view. This lets you build powerful multi-agent systems by embedding agents from other frameworks directly into your LangGraph workflows. LangSmith now supports OpenTelemetry, bringing distributed tracing and end-to-end visibility to your LLM observability workflow. With May 20, 2024 We're excited to roll out several key updates that enhance the LangGraph API/Cloud experience. 0 (2024-04-30) For LLMs that support it (verified with ChatGPT and Anthropic), a user message can now contain multiple ContentParts, making it LangChain benchmarks is a Python package with associated datasets to facilitate experimentation and benchmarking of different cognitive architectures. Retrieval Agents Evaluation. This is a game-changer for use cases like customer support agents who need to look up and remember user info during conversations. These includeL . Join us for an Agents and Compound AI LangChain; Docs; Changelog; Sign in Subscribe. #ai #nlp #llms LangChain v0. Each November 27, 2023 AUTHOR: The LangChain Team LangGraph's latest update gives you greater control over your agents by enabling tools to directly update the graph state. 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 . With the release of LangChain v0. LangGraph Platform provides With LangGraph Platform, we’ve expanded to offer multiple deployment options, which include: LangChain APIs now allow using Pydantic v2 models for BaseTool and StructuredTool . ) to meet the data residency requirements of your company. 0 LangChain 🔧 Improved core tool interfaces and docs to simplify tool integration, handle diverse inputs, and return complex inputs We've improved our core tool interfaces and langchain[patch]: Take all required fields into account for OpenAPI chain by @ikalachy in #6700 docs[minor]: Add state of agents survey to docs announcement bar by @bracesproul in #6710 🤖 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 Meet up with LangChain enthusiasts, employees, and eager AI app builders at the following IRL events this coming month: 🌉 (August 11) Agents Hackathon in San Francisco. 13, including the new interactive interpreter with multi-line editing. 3: Migrating to Pydantic 2 for Python & peer dependencies for JavaScript We’re excited to announce the release of LangChain v0. Every saved update to a prompt automatically creates a new commit, so you’ll always have a clear audit trail of changes. With this feature, you can perform low-latency searches for similar examples in your LangSmith datasets to improve app performance. S. This release includes a number of breaking changes and deprecations. 🚀 LangChain v0. Products. We've added semantic search to LangGraph's BaseStore, available today in the open source PostgresStore and InMemoryStore, in LangGraph Studio, Processing LangChain messages is now easier in both Python and JavaScript with our new message transformers. AUTHOR: The LangChain Team We're excited to offer EU data residency to LangSmith customers on all plan tiers, at no extra cost. You can read more about it on the blog. This can enhance type safety, improve code readability, and simplify the July 30, 2024 AUTHOR: The LangChain Team We’ve rolled out new features and improvements to LangGraph Python, designed to streamline your workflows: Dynamic Breakpoints for Human-in-the-Loop : 🚀 LangChain v0. Each November 27, 2023 AUTHOR: The LangChain Team Dynamic few-shot example selection is now available in open beta for LangSmith users (currently for Cloud only). We now have a SDK/API method to ensure a thread exists. This makes it easier to coordinate data review across multiple annotators. We just launched LangGraph, which helps customize your Agent Runtime. 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. With AUTHOR: The LangChain Team We now allow for the configuration of headers per webhook URL (stored in an encrypted format). In our @langchain/google-genai or @langchain/google-vertexai packages, we’ve added function calling with structured output, which allows you to build more dependable applications with multimodal support — including images, audio, and video. 2 allows you to tailor stateful LangGraph apps to your custom needs. LangGraph Cloud is now available in open beta. The homepage is now organized into three key areas to align with core developer workflows: Observability, Evaluation, and Prompt Engineering. 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. Announcing LangChain v0. Each November 27, 2023 🏷️ Prompt tags in LangSmith for version control We’re excited to introduce Prompt Tagging , a new feature in LangSmith that allows users to label individual commits with version tags (e. js Memory Agent to go with the Python version. Resources. 📊 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 🚀 LangChain v0. Toggle on the Diff View button in the top-right corner. Improved Regression Testing Experience: When making changes to your LLM application, it’s important to understand whether or not behavior has regressed compared to your prior test cases. Each November 27, 2023 With the release of LangChain v0. Note: The charts are view-only for now. 3. AUTHOR: The LangChain Team We've redesigned the LangSmith product homepage and made enhancements to Resource Tags for improved organization within your workspaces. 3 for both Python and JavaScript! Here's a quick rundown of the key changes and new features: LangGraph AUTHOR: The LangChain Team LangSmith SDK versions now have enhanced PII masking capabilities. LangGraph Cloud lets you build fault-tolerant, scalable agents. LangSmith now supports uploading any binary file (e. AUTHOR: The LangChain Team LangGraph Studio offers a new way to develop LLM applications by providing a specialized agent IDE that enables visualization, interaction, and debugging of complex agentic applications. Stay organized: Name your configuration and add an optional description for clarity. a chatbot, RAG app, or agent) from start to finish LangChain Benchmarks . 1, which gives you control in building agents with support for human-in-the-loop collaboration (e. 2 , we’ve decoupled the langchain package from langchain-community to improve the stability and security of langchain . 2 min read Sep 16, 2024. dumps for the same AUTHOR: The LangChain Team The LangSmith Self-hosted v0. AUTHOR: The LangChain Team LangSmith's annotation queue now supports allowing multiple people to review an individual run. AUTHOR: The LangChain Team We've released LangGraph v0. Methods. You can: Manage large workloads with horizontally-scaling servers, task queues, and built-in persistence.
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