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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 **6 added · 2 removed · 9 changed** across 4 provider(s). <details> <summary>fireworks-ai</summary> **➕ 1 added** - `accounts/fireworks/models/qwen3p8-2p4t-a95b` — 262,144 ctx, 131,072 out, reasoning, tools </details> <details> <summary>openai</summary> **➕ 1 added** - `gpt-6-astra` — 1,050,000 ctx, 128,000 out, text+image+pdf in, reasoning, tools </details> <details> <summary>openrouter</summary> **➕ 4 added** - `inclusionai/ling-3.0-flash-sante:free` — 262,144 ctx, 32,768 out, reasoning, tools - `openai/gpt-6-astra` — 1,050,000 ctx, 128,000 out, text+image+pdf in, reasoning, tools - `openai/gpt-6-astra-pro` — 1,050,000 ctx, 128,000 out, text+image+pdf in, reasoning, tools - `qwen/qwen3.8-max-0902` — 1,000,000 ctx, 131,072 out, text+image+video in, reasoning, tools **➖ 2 removed** - `ibm-granite/granite-4.1-8b` - `qwen/qwen3.8-max` **✏️ 6 changed** - `inclusionai/ling-3.0-flash`: display name `Ling-3.0-flash` → `Ling 3.0 Flash` - `qwen/qwen3-235b-a22b-2507`: max output tokens 235,929 → 16,384 - `qwen/qwen3.5-35b-a3b`: max output tokens 235,929 → 16,384 - `qwen/qwen3.6-27b`: max output tokens 235,929 → 65,536 - `thedrummer/unslopnemo-12b`: max output tokens 26,214 → 819,200 - `~deepseek/deepseek-v4-flash-latest`: max output tokens 393,216 → 131,072 </details> <details> <summary>xai</summary> **✏️ 3 changed** - `grok-imagine-image`: max input tokens 8,000 → 16,000 - `grok-imagine-image-2.0`: max input tokens 8,000 → 64,000 - `grok-imagine-image-quality`: max input tokens 8,000 → 16,000 </details> Co-authored-by: mdrxy <61371264+mdrxy@users.noreply.github.com>
langchain-xai
Looking for the JS/TS version? Check out LangChain.js.
Quick Install
uv add langchain-xai
🤔 What is this?
This package contains the LangChain integrations for xAI through their APIs.
📖 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