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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 **0 added · 3 removed · 4 changed** across 2 provider(s). <details> <summary>fireworks-ai</summary> **✏️ 2 changed** - `accounts/fireworks/models/glm-5p1`: attachments no → unset; audio input no → unset; audio output no → unset; image input no → unset; image output no → unset; last updated `2026-04-01` → unset; max input tokens 202,800 → unset; max output tokens 131,072 → unset; display name `GLM 5.1` → unset; removed open weights; removed reasoning; release date `2026-04-01` → unset; removed temperature control; removed text input; removed text output; removed tool calling; video input no → unset; video output no → unset - `accounts/fireworks/routers/glm-5p1-fast`: attachments no → unset; audio input no → unset; audio output no → unset; image input no → unset; image output no → unset; last updated `2026-04-01` → unset; max input tokens 202,800 → unset; max output tokens 131,072 → unset; display name `GLM 5.1 Fast` → unset; removed open weights; removed reasoning; release date `2026-04-01` → unset; removed temperature control; removed text input; removed text output; removed tool calling; video input no → unset; video output no → unset </details> <details> <summary>openrouter</summary> **➖ 3 removed** - `inflection/inflection-3-pi` - `inflection/inflection-3-productivity` - `openai/gpt-4o-mini-search-preview` **✏️ 2 changed** - `openai/gpt-5.1-codex-mini`: max output tokens 100,000 → 128,000 - `qwen/qwen3-30b-a3b`: max output tokens 8,192 → 16,384 </details> Co-authored-by: mdrxy <61371264+mdrxy@users.noreply.github.com>
langchain-openrouter
Quick Install
uv add langchain-openrouter
🤔 What is this?
This package contains the LangChain integration with OpenRouter, a unified API for hundreds of AI models across many providers.
📖 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