pydantic-ai-otari
Run Pydantic AI agents through Otari, the open-source LLM gateway, and get its budgets, usage tracking, fallback routing and guardrails on every model call.
pip install pydantic-ai-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 pydantic_ai import Agent
from pydantic_ai_otari import OtariModel
agent = Agent(OtariModel("anthropic:claude-sonnet-4-6"))
print(agent.run_sync("Say hello in one sentence.").output)
OtariModel(model_name)takes any model your gateway routes:provider:model, or the name of a routing policy or alias. The provider part also selects the model's capabilities in Pydantic AI, so a Claude model is treated as one.OtariProvider(base_url=..., api_key=...)configures the gateway in code; pass it asOtariModel(..., provider=...). 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.
Tools, structured output and streaming work unchanged. The full guide, including how to do this without the package: Use with Pydantic AI.
Developed in mozilla-ai/otari, where every change is tested against a running Otari.
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Release files for pydantic-ai-otari 0.1.0
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