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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 **11 added · 4 removed · 44 changed** across 2 provider(s). <details> <summary>openai</summary> **➕ 4 added** - `gpt-5.6` — 1,050,000 ctx, 128,000 out, text+image+pdf in, reasoning, tools - `gpt-5.6-luna` — 1,050,000 ctx, 128,000 out, text+image+pdf in, reasoning, tools - `gpt-5.6-sol` — 1,050,000 ctx, 128,000 out, text+image+pdf in, reasoning, tools - `gpt-5.6-terra` — 1,050,000 ctx, 128,000 out, text+image+pdf in, reasoning, tools </details> <details> <summary>openrouter</summary> **➕ 7 added** - `cognitivecomputations/dolphin-mistral-24b-venice-edition` — 128,000 ctx, 8,192 out - `openai/gpt-5.6-luna` — 1,050,000 ctx, 128,000 out, text+image+pdf in, reasoning, tools - `openai/gpt-5.6-luna-pro` — 1,050,000 ctx, 128,000 out, text+image+pdf in, reasoning, tools - `openai/gpt-5.6-sol` — 1,050,000 ctx, 128,000 out, text+image+pdf in, reasoning, tools - `openai/gpt-5.6-sol-pro` — 1,050,000 ctx, 128,000 out, text+image+pdf in, reasoning, tools - `openai/gpt-5.6-terra` — 1,050,000 ctx, 128,000 out, text+image+pdf in, reasoning, tools - `openai/gpt-5.6-terra-pro` — 1,050,000 ctx, 128,000 out, text+image+pdf in, reasoning, tools **➖ 4 removed** - `google/gemini-2.5-flash-lite-preview-09-2025` - `liquid/lfm-2-24b-a2b` - `poolside/laguna-xs.2` - `poolside/laguna-xs.2:free` **✏️ 44 changed** - `anthracite-org/magnum-v4-72b`: max input tokens 16,384 → 32,768 - `baidu/ernie-4.5-vl-424b-a47b`: max input tokens 123,000 → 131,072 - `deepseek/deepseek-chat`: max input tokens 128,000 → 131,072 - `deepseek/deepseek-r1`: max input tokens 64,000 → 163,840 - `deepseek/deepseek-r1-distill-llama-70b`: max input tokens 8,192 → 128,000 - `deepseek/deepseek-v3.2`: max input tokens 128,000 → 131,072 - `google/gemini-3.1-pro-preview-customtools`: max input tokens 1,048,576 → 1,048,756 - `google/gemma-4-26b-a4b-it:free`: max input tokens 131,072 → 262,144 - `meta-llama/llama-3.2-1b-instruct`: max input tokens 60,000 → 131,072 - `meta-llama/llama-3.3-70b-instruct:free`: max input tokens 65,536 → 131,072 - `meta-llama/llama-4-scout`: max input tokens 327,680 → 10,000,000 - `microsoft/wizardlm-2-8x22b`: max input tokens 65,535 → 65,536 - `minimax/minimax-m2.5`: max input tokens 196,608 → 204,800 - `minimax/minimax-m2.7`: max input tokens 196,608 → 204,800 - `minimax/minimax-m3`: max input tokens 524,288 → 1,048,576; max output tokens 512,000 → 131,072 - `moonshotai/kimi-k2.5`: max input tokens 256,000 → 262,144 - `moonshotai/kimi-k2.7-code`: max output tokens 16,384 → 262,144 - `nvidia/nemotron-3-super-120b-a12b`: max input tokens 262,144 → 1,000,000 - `nvidia/nemotron-3-super-120b-a12b:free`: max input tokens 262,144 → 1,000,000 - `nvidia/nemotron-3-ultra-550b-a55b`: max input tokens 262,144 → 1,000,000 - `poolside/laguna-m.1`: last updated `2026-04-28` → `2026-06-13` - `poolside/laguna-m.1:free`: last updated `2026-04-28` → `2026-06-13` - `qwen/qwen-2.5-72b-instruct`: max input tokens 32,768 → 131,072 - `qwen/qwen-2.5-7b-instruct`: max input tokens 32,768 → 131,072 - `qwen/qwen-2.5-coder-32b-instruct`: max input tokens 32,768 → 128,000 - …and 19 more </details> 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
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.