Setup

Three steps or fewer.

STEP 01

Install

pip install pydantic-ai

STEP 02

Point the OpenAI provider at AIgateway

Pass an OpenAIProvider with our base URL. Every Pydantic AI feature — typed responses, tool calls, agent graphs — works unchanged.

from pydantic_ai import Agent
from pydantic_ai.models.openai import OpenAIChatModel
from pydantic_ai.providers.openai import OpenAIProvider

model = OpenAIChatModel(
    "anthropic/claude-opus-4.7",
    provider=OpenAIProvider(
        base_url="https://api.aigateway.sh/v1",
        api_key="sk-aig-...",
    ),
)

agent = Agent(model, system_prompt="You are a research assistant.")
result = agent.run_sync("Summarise the last 3 months in AI infra.")
print(result.output)

STEP 03

Swap models without touching the agent code

Because AIgateway exposes 900+ models behind one schema, switching the model string is the only code change between Claude, GPT, Gemini, Kimi, Llama, DeepSeek, etc.

# same Agent, different model
model = OpenAIChatModel(
    "moonshot/kimi-k2.7-code",  # 256K context, $0.95/$4.00 per M tokens
    provider=OpenAIProvider(
        base_url="https://api.aigateway.sh/v1",
        api_key="sk-aig-...",
    ),
)

Notes

Tool calling works because AIgateway preserves the OpenAI function/tool schema across every provider.
Pair with AIgateway evals to grade an agent across multiple candidate models on your dataset — pick the cheapest one that passes.
For multi-tenant Pydantic AI apps, mint a sub-account key per customer (see /sub-accounts) and pass it as api_key.

Pydantic AI + AIgateway

Three steps or fewer.

Install

Point the OpenAI provider at AIgateway

Swap models without touching the agent code

Same key. Every other tool.