An agent timeout is a limit on how long an AI agent, model call, tool call, or workflow step may run or wait before the system changes course. It prevents hung dependencies and endless reasoning from consuming resources without progress, while defining what should cancel, retry, resume, or escalate next.
OpenAI Agents SDK provides the primary reference used for this definition and its production boundaries.
How does agent timeout work in production?
Set separate limits for model responses, tool calls, and the overall workflow. A background agent can wait longer, but it still needs a deadline and agent checkpoint. A timeout without a next-state rule is only an error message.
When does agent timeout matter?
After expiry, consult the agent retry policy or open an agent circuit breaker. Preserve the last safe state and notify an owner. Choose limits from observed latency and business deadlines.
Frequently asked questions
What is agent timeout used for?
After expiry, consult the agent retry policy or open an agent circuit breaker. Preserve the last safe state and notify an owner.
Should every agent step use the same timeout?
No. Model calls, human approvals, and external jobs operate on different time scales and need separate limits.
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