langchain-outrun
LangChain integration for Outrun, a prepaid, OpenAI-compatible API. One Outrun key reaches GPT, Claude, Gemini, Grok, DeepSeek, GLM, Kimi, Qwen and MiniMax models.
ChatOutrun is a LangChain chat model built on langchain-openai, with the Outrun base URL and key set for you.
Install
pip install -U langchain-outrun
Create a key at https://outrun.to/key, then:
export OUTRUN_API_KEY="your-api-key"
Chat model
from langchain_outrun import ChatOutrun
model = ChatOutrun(model="gpt-5.6-terra", temperature=0)
print(model.invoke("Explain prompt caching in one sentence.").content)
Pick any model id from https://outrun.to/pricing (for example claude-haiku-5-5, gemini-3.8-flash or deepseek-v4.1-flash). The same list is available as JSON, without a key, at https://api.outrun.to/pricing.
Streaming
for chunk in model.stream("Write a haiku about rain."):
print(chunk.text, end="", flush=True)
Token usage is included in streamed responses (usage_metadata on the last chunk).
Tool calling
from pydantic import BaseModel, Field
class GetWeather(BaseModel):
"""Get the current weather for a city."""
city: str = Field(description="City name")
model_with_tools = model.bind_tools([GetWeather])
msg = model_with_tools.invoke("What's the weather in Paris?")
print(msg.tool_calls)
Structured output
class Answer(BaseModel):
answer: str
confidence: float
structured = model.with_structured_output(Answer)
print(structured.invoke("Is the sky blue? Answer briefly."))
Tool calling and structured output depend on the model you pick.
Async
ainvoke, astream and abatch work as with any LangChain chat model.
Settings
| Argument | Environment variable | Default |
|---|---|---|
api_key |
OUTRUN_API_KEY |
none (required) |
base_url |
OUTRUN_API_BASE |
https://api.outrun.to/v1 |
model |
none (required) |
Other ChatOpenAI arguments such as temperature, max_tokens, timeout, max_retries and default_headers work the same way.
- Requests go to
/v1/chat/completions. Passuse_responses_api=Trueto use/v1/responsesinstead (GPT models only). ChatOutrunnever readsOPENAI_API_KEY, so an OpenAI key is never sent to Outrun.- Each request carries an
X-Outrun-SDK: langchain/<version>header.
Development
pip install -e . pytest pytest-asyncio pytest-socket "langchain-tests>=1,<2"
pytest tests/unit_tests --disable-socket --allow-unix-socket
tests/integration_tests call the live API (billed to your balance) and run only when OUTRUN_API_KEY is set.
Links
- Outrun docs: https://outrun.to/docs/
- Plain OpenAI SDK wrapper:
outrun-ai - Support: support@outrun.to
License: MIT.
Metadata
Release files for langchain-outrun 0.1.0
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| File | Interpreter | ABI | Platform | Actions Reset |
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| langchain_outrun-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for langchain_outrun-0.1.0-py3-none-any.whl |
Total release size: 14.4 kB
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