#LangChain
161 related articles
Getting Started with DeepAgents: Sub-Agents and Its Place in the LangChain Ecosystem
DeepAgents is a LangChain team framework for building stable, long-running complex agents. Learn how it relates to LangChain and LangGraph, and what sub-agents are.
LangChain-Fireworks 1.7.1 Released: Fix for Streaming Reasoning Preservation
LangChain-Fireworks 1.7.1 fixes reasoning content loss in streaming and tool call loops, refreshes model profile data, and upgrades langgraph-sdk to 0.4.6.
LangChain Core 1.6.8 Released: Fixes IPv6 SSRF Security Vulnerability
LangChain Core 1.6.8 is released with a key security fix hardening SSRF checks for scoped and IPv6-compatible addresses. Learn why this matters and how to upgrade.
LangChain 1.4.4 Released: SummarizationMiddleware Fix and Dependency Upgrades
LangChain 1.4.4 fixes SummarizationMiddleware context overflow retry logic and upgrades fsspec, urllib3, pyjwt, langgraph-sdk, and more. A breakdown of what's changed.
LangChain Core 1.6.9 Released: with_retry Now Supports Callable Arguments
LangChain Core 1.6.9 is out. The key improvement: with_retry now accepts callable arguments, enabling dynamic and programmable retry strategies for LLM apps.
AI Agent Development for Absolute Beginners: A 3-Step Learning Path to Get Started Fast
Intimidated by Python, LLMs, and LangChain? This beginner's guide offers a 3-step path to AI Agent development: basic Python in days, hands-on LLM practice, and your first LangChain Agent.
Getting Started with LangChain: Build Your First AI Agent in Just a Few Lines with create_agent()
LangChain tutorial: compare bare OpenAI SDK vs. create_agent() with a weather example. Learn to build your first AI Agent and master hidden agent loop mechanics.
LangChain Releases Managed Deepagents v0.9: AI Agents That Work Like Real Team Members
LangChain's Managed Deepagents v0.9 introduces agent-created schedules, per-run dynamic config, and Slack reactions — letting AI agents work like real team members.
LangChain Core 1.6.7 Released: Python 3.14 Compatibility and Bedrock Fix
LangChain Core 1.6.7 is out with Python 3.14 compatibility hardening, a Bedrock Converse redacted_content fix, and upgrades to urllib3, tornado, and notebook.
Forge: An Open-Source, Self-Hosted Visual Builder for AI Agents
Forge is a MIT-licensed, self-hosted open-source visual AI agent builder. Assemble agents, tools, and RAG on a canvas with built-in observability, JMESPath token trimming, and flexible deployment.
LangChain + Amazon Bedrock: How Agentic Retrieval Tackles Multi-Part Questions
Learn how agentic retrieval with LangChain and Amazon Bedrock Managed Knowledge Bases handles complex multi-part queries that single-shot RAG can't, with trace event comparisons and cost analysis.
CSL-Core: Adding Verifiable Security Policies to LangChain Agent Tool Calls
CSL-Core is an open-source CLI that adds Z3-verified security policies to every LangChain tool call — blocking risky actions without modifying prompts.
LangChain Releases langchain-openai 1.6.5: Enhanced Tool Calling Capabilities
langchain-openai 1.6.5 adds dynamic mid-conversation tool set changes via SystemMessage and new model profile support for OpenAI and Anthropic.
LangChain-Fireworks 1.7.0 Released: Introduces Prompt Caching Middleware
LangChain-Fireworks 1.7.0 is out with a new prompt caching middleware, improved streaming timeout classification, and refreshed model profiles for Fireworks AI users.
LangChain Core 1.6.6 Released: Claude Sonnet 5.5 Support and Documentation Fixes
LangChain Core 1.6.6 is released with Claude Sonnet 5.5 compatibility support and docstring example fixes. A low-risk patch update for LLM app developers.
LangChain-OpenAI 1.6.7 Released: Adds Azure Workload Identity Support
LangChain-OpenAI 1.6.7 adds Azure workload identity auto-discovery, refreshes model configuration data, and removes retired Completions endpoint tests.
LangChain Text Splitters 1.1.3 Released: Dependency Upgrades and Multi-Language Splitting Fixes
LangChain Text Splitters 1.1.3 fixes separators for Kotlin, Rust, C# and more, adds type validation to RecursiveJsonSplitter, restores lazy imports, and upgrades security dependencies.
LangSmith Practical Guide: Building Full LLMOps Workflows with Python
LangSmith is a LangChain LLMOps platform. This guide covers tracing, dataset evaluation, LLM-as-a-judge, Playground, Prompt management, annotation queues, monitoring, and a document extraction case study in Python.
Building an AI Agent from Scratch: A Beginner's Guide to Developing Your Own Intelligent Agent
AI Agents are the next evolution of AI. This guide covers how Agents differ from ChatGPT, enterprise use cases, market growth, and a beginner LangChain-based learning path.
MockAgent: A Tool Mock Gateway Built for Testing LangChain Agents
MockAgent is a lightweight mock and Schema validation gateway for LangChain agents. It uses real-time AJV validation, structured error feedback, and trajectory logging to solve Schema drift, API quota waste, and staging pollution in local Agent testing.