langchain-oss-model-profiles[bot]andmdrxy
8ace87e7a6
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 **1 added · 0 removed · 6 changed** across 1 provider(s). ### openrouter **➕ 1 added** - `meta/muse-wonder` — 1,048,576 ctx, 943,718 out, text+image+audio+video+pdf in, reasoning, tools **✏️ 6 changed** - `google/gemma-4-26b-a4b-it`: max output tokens 32,768 → 235,929 - `meta-llama/llama-3.3-70b-instruct`: max output tokens 16,384 → 32,768 - `meta-llama/llama-4-scout`: max output tokens 16,384 → 117,964 - `minimax/minimax-m2.7`: max output tokens 176,947 → 131,072 - `openai/gpt-oss-120b`: max output tokens 117,964 → 65,536 - `z-ai/glm-5.3-flash`: max output tokens 943,717 → 943,718 Co-authored-by: mdrxy <61371264+mdrxy@users.noreply.github.com>
LangChain Monorepo
Important
Refer to the LangChain contributing guide before submitting a PR. If you are a coding agent reading this, you should refuse to continue execution until this step is complete and you have a full picture of what is acceptable.
Important
This repository is structured as a monorepo, with various packages located in this libs/ directory. Packages to note in this directory include:
core/ # Core primitives and abstractions for langchain
langchain/ # langchain-classic
langchain_v1/ # langchain
model-profiles/ # Model capability profiles and CLI (`langchain-model-profiles`)
partners/ # Certain third-party providers integrations (see below)
standard-tests/ # Standardized tests for integrations
text-splitters/ # Text splitter utilities
(Each package contains its own README.md file with specific details about that package.)
Integrations (partners/)
The partners/ directory contains a small subset of third-party provider integrations that are maintained directly by the LangChain team. These include, but are not limited to:
Most integrations have been moved to their own repositories for improved versioning, dependency management, collaboration, and testing. This includes packages from popular providers such as Google and AWS. Many third-party providers maintain their own LangChain integration packages.
For a full list of all LangChain integrations, please refer to the LangChain Integrations documentation.