# Trashchenkov Gigachat Skills Langchain Gigachat > LangChain GigaChat - Skill: `tomevault-io/trashchenkov-gigachat-skills-langchain-gigachat` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/trashchenkov-gigachat-skills-langchain-gigachat` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/trashchenkov-gigachat-skills-langchain-gigachat/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/trashchenkov-gigachat-skills-langchain-gigachat --- # LangChain GigaChat Use this skill when the user is building with LangChain abstractions, not raw `gigachat`. ## What this skill covers - `langchain-gigachat` installation and initialization - chat model usage through LangChain messages and runnables - embeddings through `GigaChatEmbeddings` - tool binding and structured outputs where supported - RAG setup using LangChain vector stores - practical wrapper behavior around the underlying SDK ## Workflow 1. If credentials and TLS are not configured, use `gigachat-setup`. 2. If the task does not need LangChain primitives, prefer `gigachat-sdk-*` skills. 3. Initialize `GigaChat` or `GigaChatEmbeddings` with the same auth inputs as the SDK. 4. Work with LangChain message objects, not raw GigaChat payloads, unless debugging conversion. 5. For RAG, pair `GigaChatEmbeddings` with a vector store and keep retrieval logic in LangChain. 6. Avoid double retries when LangChain and the SDK both retry. 7. Prefer the simplest smoke-covered LangChain pattern before adding wrapper-specific complexity. ## Read these references as needed - For chat models and message/tool behavior: `references/chat-models.md` - For embeddings and RAG patterns: `references/embeddings-rag.md` ## Default output - keep the user inside LangChain abstractions unless there is a wrapper boundary bug - do not mix raw SDK code into normal LangChain starter examples - call out wrapper caveats instead of assuming full parity with generic LangChain behavior ## Boundaries - Do not explain OpenAI-compatible base URLs here; use `gpt2giga`. --- > Source: [trashchenkov/gigachat-skills](https://github.com/trashchenkov/gigachat-skills) — distributed by [TomeVault](https://tomevault.io).