langchain-openrouter
An integration package connecting OpenRouter and LangChain
Decision gist · record as of 2026-08-14
Yes. This is a straightforward, low-friction integration for LangChain users who want to access OpenRouter's multi-provider model catalog. It has no security vulnerabilities, active maintenance, permissive licensing, and minimal dependencies. Install it if you're building with LangChain and want the flexibility to choose from hundreds of models without rewriting your code.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; you must have an OpenRouter API key configured (typically via OPENROUTER_API_KEY environment variable).
- Low friction: pure Python wheel with only two runtime dependencies (langchain-core and openrouter).
- Actively maintained with a recent release and no known vulnerabilities.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you can use, modify, and distribute this package freely in commercial or private projects with minimal restrictions.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 144,266 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 567,328 downloads/mo, #5,968 on PyPI
Alternatives
Verify before relying
pip install langchain-openrouter
from langchain_openrouter import ChatOpenRouter
model = ChatOpenRouter(model="openrouter/auto")
response = model.invoke("Hello, world!")- Whether the package handles model fallback or error recovery when a requested model is unavailable on OpenRouter.
- Performance characteristics and latency overhead compared to direct OpenRouter or LangChain calls.
- Which specific OpenRouter features (routing logic, pricing tiers, rate limiting) are exposed through the LangChain integration.
What it is and what it does
langchain-openrouter is a LangChain integration that bridges your LangChain application to OpenRouter, a unified API for accessing hundreds of AI models from many providers. Instead of managing separate connections to different model providers, you point LangChain to OpenRouter and let it handle routing to the underlying models. The package wraps OpenRouter's API in LangChain's standard model interfaces, so you can swap models or providers by changing a configuration string rather than rewriting application code.
It depends on langchain-core (LangChain's base abstractions) and openrouter (the direct Python client for OpenRouter). The package is in Beta status, actively maintained, and supports Python 3.10 through 3.14. It carries no known security vulnerabilities and uses a permissive MIT license.
Use it for
- Build a chatbot that can switch between different AI models (GPT, Claude, Llama, etc.) without changing application logic.
- Prototype LangChain agents with multiple model providers to compare quality and cost without rewriting integration code.
- Deploy a production service that routes requests to different models based on availability, cost, or performance tiers via OpenRouter.
- Evaluate different models on the same task by iterating over model names in a LangChain pipeline.
- Reduce vendor lock-in by abstracting model selection through a single, provider-agnostic API layer.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a straightforward, low-friction integration for LangChain users who want to access OpenRouter's multi-provider model catalog. It has no security vulnerabilities, active maintenance, permissive licensing, and minimal dependencies. Install it if you're building with LangChain and want the flexibility to choose from hundreds of models without rewriting your code.
Install
langchain-openrouter on PyPI
Before you install
Low friction: pure Python wheel with only two runtime dependencies (langchain-core and openrouter). Actively maintained with a recent release and no known vulnerabilities.
Requires Python 3.10 or later; you must have an OpenRouter API key configured (typically via OPENROUTER_API_KEY environment variable).
License in practice
MIT license is permissive; you can use, modify, and distribute this package freely in commercial or private projects with minimal restrictions.
Quickstart
pip install langchain-openrouter
from langchain_openrouter import ChatOpenRouter
model = ChatOpenRouter(model="openrouter/auto")
response = model.invoke("Hello, world!")Verify before relying
- Whether the package handles model fallback or error recovery when a requested model is unavailable on OpenRouter.
- Performance characteristics and latency overhead compared to direct OpenRouter or LangChain calls.
- Which specific OpenRouter features (routing logic, pricing tiers, rate limiting) are exposed through the LangChain integration.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0.0,>=3.10.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packageslangchain-coreopenrouter |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 567,328 / month, #5,968 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering :: Artificial Intelligence |
Evidence: langchain_openrouter-0.2.8-py3-none-any.whl
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See also langchain-openai · openrouter · langchain-xai · langchain-mistralai · langchain-ollama · langchain-aws · langchain-google-vertexai · langchain-groq · langchain-deepseek