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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. ## Summary of changes **35 added · 8 removed · 33 changed** across 6 provider(s). ### anthropic **➕ 1 added** - `claude-sonnet-5` — 1,000,000 ctx, 128,000 out, text+image+pdf in, reasoning, tools **➖ 2 removed** - `claude-3-5-haiku-20241022` - `claude-3-5-haiku-latest` ### fireworks-ai **➕ 1 added** - `accounts/fireworks/routers/glm-5p2-fast` — 1,048,575 ctx, 131,072 out, reasoning, tools **✏️ 1 changed** - `accounts/fireworks/models/glm-5p2`: max input tokens 1,048,576 → 1,048,575 ### groq **✏️ 1 changed** - `openai/gpt-oss-safeguard-20b`: last updated `2025-10-29` → `2026-06-29` ### huggingface **➕ 26 added** - `MiniMaxAI/MiniMax-M2` — 204,800 ctx, 128,000 out, reasoning, tools - `MiniMaxAI/MiniMax-M3` — 524,288 ctx, 128,000 out, text+image in, reasoning, tools - `Qwen/Qwen3-235B-A22B` — 40,960 ctx, 16,384 out, reasoning, tools - `Qwen/Qwen3-32B` — 131,072 ctx, 16,384 out, reasoning, tools - `Qwen/Qwen3-Coder-30B-A3B-Instruct` — 262,144 ctx, 65,536 out, tools - `Qwen/Qwen3.5-122B-A10B` — 262,144 ctx, 65,536 out, text+image in, reasoning, tools - `Qwen/Qwen3.5-27B` — 262,144 ctx, 65,536 out, text+image in, reasoning, tools - `Qwen/Qwen3.5-35B-A3B` — 262,144 ctx, 65,536 out, text+image in, reasoning, tools - `Qwen/Qwen3.5-9B` — 262,144 ctx, 65,536 out, text+image in, reasoning, tools - `Qwen/Qwen3.6-27B` — 262,144 ctx, 65,536 out, text+image in, reasoning, tools - `Qwen/Qwen3.6-35B-A3B` — 262,144 ctx, 65,536 out, text+image in, reasoning, tools - `XiaomiMiMo/MiMo-V2.5-Pro` — 1,048,576 ctx, 131,072 out, reasoning, tools - `deepseek-ai/DeepSeek-R1` — 64,000 ctx, 32,768 out, reasoning, tools - `deepseek-ai/DeepSeek-V4-Flash` — 1,048,576 ctx, 384,000 out, reasoning, tools - `google/gemma-4-26B-A4B-it` — 262,144 ctx, 32,768 out, text+image in, reasoning, tools - `google/gemma-4-31B-it` — 262,144 ctx, 32,768 out, text+image in, reasoning, tools - `meta-llama/Llama-3.3-70B-Instruct` — 131,072 ctx, 4,096 out, tools - `moonshotai/Kimi-K2.7-Code` — 262,144 ctx, 262,144 out, text+image in, reasoning, tools - `openai/gpt-oss-120b` — 131,072 ctx, 32,768 out, reasoning, tools - `stepfun-ai/Step-3.5-Flash` — 262,144 ctx, 256,000 out, reasoning, tools - `stepfun-ai/Step-3.7-Flash` — 262,144 ctx, 256,000 out, text+image in, reasoning, tools - `zai-org/GLM-4.5` — 131,072 ctx, 98,304 out, reasoning, tools - `zai-org/GLM-4.5-Air` — 131,072 ctx, 98,304 out, reasoning, tools - `zai-org/GLM-4.5V` — 65,536 ctx, 16,384 out, text+image in, reasoning, tools - `zai-org/GLM-4.6` — 204,800 ctx, 131,072 out, reasoning, tools - …and 1 more ### mistral **✏️ 1 changed** - `mistral-medium-latest`: last updated `2025-08-12` → `2026-04-29`; added open weights; added reasoning; release date `2025-08-12` → `2026-04-29`; added structured output ### openrouter **➕ 7 added** - `anthropic/claude-fable-5` — 1,000,000 ctx, 128,000 out, text+image+pdf in, reasoning, tools - `anthropic/claude-sonnet-5` — 1,000,000 ctx, 128,000 out, text+image+pdf in, reasoning, tools - `google/gemini-3.1-flash-lite-image` — 65,536 ctx, 66,000 out, text+image in, reasoning - `poolside/laguna-xs-2.1` — 262,144 ctx, 32,768 out, reasoning, tools - `poolside/laguna-xs-2.1:free` — 262,144 ctx, 32,768 out, reasoning, tools - `sakana/fugu-ultra` — 1,000,000 ctx, 128,000 out, text+image in, reasoning, tools - `z-ai/glm-5v-turbo` — 202,752 ctx, 131,072 out, text+image+video in, reasoning, tools **➖ 6 removed** - `anthropic/claude-opus-4.6-fast` - `essentialai/rnj-1-instruct` - `microsoft/phi-4-mini-instruct` - `nex-agi/nex-n2-pro:free` - `openrouter/owl-alpha` - `prime-intellect/intellect-3` **✏️ 30 changed** - `arcee-ai/trinity-large-thinking`: removed structured output - `deepseek/deepseek-v4-flash`: max input tokens 1,000,000 → 1,048,576; max output tokens 65,536 → 16,384 - `google/gemini-2.5-flash-image`: max output tokens 8,192 → 32,768 - `google/gemini-3.1-flash-image`: max input tokens 65,536 → 131,072; max output tokens 65,536 → 32,768 - `google/gemma-4-26b-a4b-it:free`: added structured output - `minimax/minimax-m2`: max input tokens 196,608 → 204,800; max output tokens 196,608 → 131,072 - `minimax/minimax-m2.1`: max input tokens 196,608 → 204,800; max output tokens 196,608 → 131,072; removed structured output - `minimax/minimax-m2.7`: max output tokens 131,072 → 196,608 - `moonshotai/kimi-k2`: max output tokens 32,768 → 100,352 - `moonshotai/kimi-k2-0905`: max output tokens 262,144 → 100,352 - `moonshotai/kimi-k2-thinking`: max output tokens 262,144 → 100,352 - `moonshotai/kimi-k2.5`: max output tokens 262,144 → 256,000 - `moonshotai/kimi-k2.6`: max output tokens 65,535 → 262,144 - `moonshotai/kimi-k2.7-code`: max output tokens 262,144 → 16,384 - `nvidia/nemotron-3-super-120b-a12b`: max output tokens 262,144 → 16,384 - `openai/gpt-oss-120b`: max output tokens 32,768 → 131,072; display name `gpt-oss-120b` → `GPT OSS 120B` - `qwen/qwen3-235b-a22b-thinking-2507`: max input tokens 262,144 → 131,072; removed structured output - `qwen/qwen3-30b-a3b-thinking-2507`: max input tokens 131,072 → 81,920; max output tokens 131,072 → 32,768; removed structured output - `qwen/qwen3-8b`: max input tokens 40,960 → 131,072; removed structured output - `qwen/qwen3.5-35b-a3b`: max output tokens 262,144 → 81,920 - `qwen/qwen3.5-397b-a17b`: max output tokens 65,536 → 64,000 - `stepfun/step-3.5-flash`: max output tokens 16,384 → 65,536 - `thedrummer/rocinante-12b`: removed structured output; removed tool calling - `x-ai/grok-4.3`: added PDF input - `xiaomi/mimo-v2.5`: max input tokens 1,048,576 → 32,000 - …and 5 more --------- Co-authored-by: mdrxy <61371264+mdrxy@users.noreply.github.com> Co-authored-by: Mason Daugherty <github@mdrxy.com>
langchain-fireworks
Looking for the JS/TS version? Check out LangChain.js.
Quick Install
uv add langchain-fireworks
🤔 What is this?
This is the partner package for tying Fireworks.ai and LangChain. Fireworks really strive to provide good support for LangChain use cases, so if you run into any issues please let us know. You can reach out to us in our Discord channel
📖 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