terminal
howtonotcode.com
LangChain logo

LangChain

Ai Tool

A framework for building applications using language models.

article 5 storys calendar_today First seen: 2026-01-02 update Last seen: 2026-02-24 open_in_new Website menu_book Wikipedia

Resources

Links to check for updates: homepage, feed, or git repo.

home Homepage

code Git repo

Stories

Showing 1-5 of 5

Claude Code Security preview lands alongside key CLI hardening

Anthropic shipped a limited Claude Code Security preview to scan repos and suggest patches, alongside CLI updates that improve remote build control, sandboxed hooks, and context efficiency. Anthropic’s code-scanning capability is now built into Claude Code as a limited research preview for Enterprise and Team customers, with human-in-the-loop patch suggestions and expedited access for OSS maintainers, per coverage from [CSO Online](https://www.csoonline.com/article/4136294/anthropics-claude-code-security-rollout-is-an-industry-wakeup-call.html). In parallel, the CLI added a new remote-control mode for external builds, hardened HTTP hooks behind a sandbox proxy and explicit allowedEnvVars, persisted large tool outputs to disk to save context, and fixed a workspace-trust gap—plus a Windows crash fix in the VS Code extension ([v2.1.51](https://github.com/anthropics/claude-code/releases/tag/v2.1.51), [v2.1.52](https://github.com/anthropics/claude-code/releases/tag/v2.1.52)). Teams are also adjusting to a simplified CLI output that hides some file I/O; practitioners suggest prompting for a pre-action file list to restore transparency and control, effectively a dry-run step ([community thread](https://www.reddit.com/r/ClaudeCode/comments/1rdj2hm/handling_the_simplified_output_changes_in_the/)). The wider ecosystem is keeping pace—LangChain’s Anthropic integration updated headers for 1M-context handling, model IDs, and tests, smoothing orchestration in agent workflows ([release notes](https://github.com/langchain-ai/langchain/releases/tag/langchain-anthropic%3D%3D1.3.4)).

calendar_today 2026-02-24
anthropic claude-code claude-code-security visual-studio-code langchain

LangChain Core 1.2.14 stabilizes tool-call merges, preserves metadata, and tightens deserialization guidance

LangChain Core 1.2.14 delivers targeted fixes and docs updates to stabilize parallel tool calls, preserve merge metadata, clarify LangSmith tracing params, and harden deserialization practices. The release fixes incorrect list merging for parallel tool calls, preserves index and timestamp fields during merges, and prevents a recursion error when args_schema is a dict—improving reliability for agent orchestration and data flows; see details in the [1.2.14 notes](https://github.com/langchain-ai/langchain/releases/tag/langchain-core%3D%3D1.2.14). It also clarifies LangSmith tracing behavior around integer temperature values, adds security warnings and best practices for deserialization, corrects a misleading Jinja2 sandboxing comment, and updates sys info reporting (removing LangServe, adding DeepAgents), with dependency bumps and minor doc fixes captured in the [changelog](https://github.com/langchain-ai/langchain/releases/tag/langchain-core%3D%3D1.2.14).

calendar_today 2026-02-20
langchain langsmith deepagents langserve python

Production RAG playbook + LangChain 1.2.10 safeguards

Building production RAG got easier this week with a practical map of nine retrieval patterns and LangChain 1.2.10 fixes for token counting and context overflow. [9 RAG architectures](https://atalupadhyay.wordpress.com/2026/02/10/9-rag-architectures-every-ai-developer-must-know/)[^1] and a [prompt caching deep dive](https://atalupadhyay.wordpress.com/2026/02/10/prompt-caching-from-zero-to-production-ready-llm-optimization/)[^2] provide runnable labs and concrete optimization tactics. The [LangChain 1.2.10](https://github.com/langchain-ai/langchain/releases/tag/langchain%3D%3D1.2.10)[^3] and [langchain-core 1.2.10](https://github.com/langchain-ai/langchain/releases/tag/langchain-core%3D%3D1.2.10)[^4] releases add a token-counting fix and a new ContextOverflowError to harden pipelines. [^1]: Adds: Maps nine RAG patterns (Standard, Conversational, CRAG, Adaptive, Self-RAG, Fusion, HyDE, Agentic, GraphRAG) with diagrams and Python/LangChain labs (ChromaDB, optional Neo4j). [^2]: Adds: End-to-end prompt caching guide with provider-specific notes, labs (single/multi-turn, RAG), and production best practices. [^3]: Adds: Release notes including a fix for token counting on partial message sequences and internal provider rename. [^4]: Adds: Release notes adding ContextOverflowError (raised for OpenAI/Anthropic), improved approximate token counting, and minor docs/features.

calendar_today 2026-02-10
langchain openai anthropic chromadb neo4j

LangChain xAI 1.2.0 improves streaming and token accounting; OpenAI adapter updates GPT-5 limits

LangChain released langchain-xai 1.2.0 with fixes that stream citations only once and enable usage metadata streaming by default, plus a core serialization patch. The OpenAI adapter now filters function_call blocks in token counting and updates max input tokens for the GPT-5 series, and chunk_position is standardized via langchain-core.

calendar_today 2026-01-02
langchain openai xai token-counting streaming-telemetry