Pydantic AI

Copy the configuration and replace sk-... with your key from the Ailoot Dashboard. Prefer storing the key in the environment variable AILOOT_API_KEY, if the application supports it.

Before starting, request GET /v1/models with your Ailoot key. Choose an exact model ID whose methods include POST /v1/chat/completions, POST /v1/responses, then use that ID in the configuration. For agents, also check tool support and the features required by your client version.

import os
from pydantic_ai import Agent
from pydantic_ai.models.openai import OpenAIChatModel
from pydantic_ai.providers.openai import OpenAIProvider
model = OpenAIChatModel("deepseek-v4-pro",
    provider=OpenAIProvider(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"]))
agent = Agent(model)
print(agent.run_sync("Hello").output)

Example model: deepseek-v4-pro, gpt-6.1-sol (for OpenAIResponsesModel). Choose any other model from the catalog — check that it supports the format you need.

• For the OpenAI format, the URL is https://api.ailoot.ai/v1 (or the full path if the application asks for a full URL).
• Ask a short question. If you get an error, check the code and Request ID, then consult Errors and limits.
• 404 immediately after setup almost always means the URL is wrong: an extra or missing /v1.
• 402 — insufficient balance for the reserve. Agents reserve more than chat: why.

Application documentation: https://pydantic.dev/docs/ai/models/openai/