langchain-oss-model-profiles[bot]andmdrxy
877ad8c7bf
Automated refresh of model profile data for all in-monorepo partner integrations via `langchain-profiles refresh`. 🤖 Generated by the [`refresh_model_profiles` workflow](https://github.com/langchain-ai/langchain/blob/master/.github/workflows/refresh_model_profiles.yml). ## Summary of changes **9 added · 2 removed · 5 changed** across 3 provider(s). <details> <summary>huggingface</summary> **➕ 1 added** - `tencent/Hy4-preview` — 1,000,000 ctx, 64,000 out, reasoning, tools </details> <details> <summary>openrouter</summary> **➕ 6 added** - `nex-agi/nex-n2.5-mini` — 262,144 ctx, 235,929 out, text+image in, reasoning - `nex-agi/nex-n2.5-pro` — 262,144 ctx, 235,929 out, text+image in, reasoning, tools - `x-ai/grok-4.7` — 500,000 ctx, 450,000 out, text+image+pdf in, reasoning, tools - `xiaomi/mimo-v2.6-flash` — 1,048,576 ctx, 131,072 out, text+image+audio+video in, reasoning, tools - `xiaomi/mimo-v2.6-pro` — 1,048,576 ctx, 131,072 out, text+image+audio+video in, reasoning, tools - `xiaomi/mimo-v2.6-pro-ultraspeed` — 1,048,576 ctx, 131,072 out, text+image+audio+video in, reasoning, tools **➖ 2 removed** - `anthropic/claude-opus-4` - `kwaipilot/kat-coder-pro-v2` **✏️ 5 changed** - `anthropic/claude-sonnet-4`: max input tokens 1,000,000 → 200,000 - `deepseek/deepseek-v4-pro-0813`: max output tokens 384,000 → 943,718 - `meta-llama/llama-3.1-70b-instruct`: max output tokens 8,192 → 16,384 - `qwen/qwen3-next-80b-a3b-thinking`: max output tokens 32,768 → 235,929 - `z-ai/glm-5.3-flash`: max output tokens 131,072 → 943,718 </details> <details> <summary>xai</summary> **➕ 2 added** - `grok-4.7` — 500,000 ctx, 500,000 out, text+image+pdf in, reasoning, tools - `grok-imagine-image-quality` — 16,000 ctx, text+image+pdf in </details> Co-authored-by: mdrxy <61371264+mdrxy@users.noreply.github.com>
langchain-huggingface
Looking for the JS/TS version? Check out LangChain.js.
Quick Install
uv add langchain-huggingface
Note: The base install does not include
sentence-transformersortransformers. If you plan to useHuggingFaceEmbeddingsorHuggingFacePipelinefor local inference, install the[full]extra which includessentence-transformers>=5.2.0andtransformers>=5.0.0:uv add "langchain-huggingface[full]"Migrating from
langchain-community? Note thatlangchain-communityacceptedsentence-transformers>=2.2.0, butlangchain-huggingface[full]requires>=5.2.0. If your project pins an older version, upgrade it:uv add "sentence-transformers>=5.2.0"
🤔 What is this?
This package contains the LangChain integrations for Hugging Face related classes.
📖 Documentation
For full documentation, see the API reference. For conceptual guides, tutorials, and examples on using these classes, see the LangChain Docs.
📕 Releases & Versioning
See our Releases and Versioning policies.
💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the Contributing Guide.
Resources
- LangChain Academy — comprehensive, free courses on LangChain libraries and products, made by the LangChain team
- Code of Conduct — community guidelines and standards