langchain-otari
Run LangChain and LangGraph through Otari, the open-source LLM gateway, and get its budgets, usage tracking, fallback routing and guardrails on every model call.
pip install langchain-otari
export OTARI_API_KEY=<your-otari-key> # from otari.ai, or from your own gateway
export OTARI_BASE_URL=http://localhost:8000/api/v1 # only for a self-hosted gateway: its URL plus /api/v1
from langchain_otari import ChatOtari
llm = ChatOtari(model="anthropic:claude-sonnet-4-6")
print(llm.invoke("Say hello in one sentence.").content)
ChatOtariisChatOpenAIpointed at Otari, so it takes everyChatOpenAIargument and works anywhere a LangChain chat model does:create_agent,with_structured_output,bind_tools, LangGraph nodes.modelis any model your gateway routes:provider:model, or the name of a routing policy or alias.base_urlandapi_keyoverride the environment. WithoutOTARI_BASE_URL, requests go to otari.ai's gateway,https://api.otari.ai/api/v1.OPENAI_API_KEYis never used as a fallback, so an OpenAI key is not sent to the gateway by mistake. Token usage is requested on streams too.
Full guides: Use with LangChain and Use with LangGraph.
Developed in mozilla-ai/otari, where every change is tested against a running Otari.
1 maintainer
Metadata
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Release files for langchain-otari 0.1.0
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