Tokens-per-minute rate limiting

If a provider rate-limits your agent, configure retries:

from agno.agent import Agent
from agno.models.openai import OpenAIChat

agent = Agent(
    model=OpenAIChat(id="gpt-5.4-mini"),
    retries=3,
    delay_between_retries=2,
    exponential_backoff=True,
)
agent.print_response("Tell me about a breaking news story from New York.", stream=True)

retries defaults to 0, so setting exponential_backoff or delay_between_retries alone has no effect. Set retries to the number of retry attempts you want.

Parameter	Default	Description
`retries`	`0`	Number of retries after a failed run
`delay_between_retries`	`1`	Delay in seconds before each retry
`exponential_backoff`	`False`	Double the delay after each failed attempt

OpenAI applies tier-based rate limits. See the OpenAI rate limit docs for the limits on your account.

Structured outputs Workflow vs Team

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