集成 · 60 秒接入 · 零加价

LangChain + OrcaRouter

LangChain's ChatOpenAI class takes a base_url parameter. Pointing it at OrcaRouter gives every chain, agent, and retriever automatic failover and zero-markup pricing without touching the rest of your graph.

获取 API key →LangChain 官网 ↗

接入

五步搞定。

1.Install: pip install langchain-openai
2.Import ChatOpenAI from langchain_openai
3.Construct with base_url='https://api.orcarouter.ai/v1' and api_key='sk-orca-…'
4.Set the model to any OrcaRouter-supported model ID.
5.Use it anywhere LangChain expects a chat model — chains, agents, tools.

配置

from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
    base_url="https://api.orcarouter.ai/v1",
    api_key="sk-orca-...",
    model="claude-sonnet-4",
    temperature=0,
)

response = llm.invoke("Explain retrieval-augmented generation in one paragraph.")
print(response.content)

为什么把 LangChain 路由过 OrcaRouter?

LangChain agents do lots of short, bursty calls that are sensitive to rate limits. OrcaRouter spreads those calls across healthy providers automatically and gives you one cost-attribution view for the whole chain.

其他集成

⌘ Cursor

AI-first code editor.

🤖 Cline

Autonomous coding agent for VS Code.

➡ Continue

Open-source AI code assistant for VS Code and JetBrains.

✎ Aider

AI pair programming in your terminal.

▲ Vercel AI SDK

Streaming AI for TypeScript apps.

🦙 LlamaIndex