OpenAI Agents SDK v0.18.2 - Adds GPT-5.6 Request Controls for Agent Workflows

Agent frameworks mediate decision-making, tool invocation, and safety constraints; adding GPT-5.6 request controls into the Agents SDK means these orchestration layers can now programmatically express finer-grained requirements to the model. That includes directing which capabilities to use, how to handle outputs, and potentially how to enforce rate, cost, or safety trade-offs during multi-step flows.

For businesses that embed agents into customer-facing workflows or internal automation, this is consequential: better request controls let you reduce hallucination, constrain risky actions, and optimize for cost or latency at the orchestration layer. It also helps centralize policy - your agent code can be the single place that applies corporate guardrails across many model calls.

What leaders should do: update your agent service dependencies in a staging environment, and run targeted tests on safety, latency, and cost profiles with the new request controls. Revisit your policy definitions and monitoring to ensure they map to the new control primitives, and ensure that developer docs and guardrails reflect how to use these parameters correctly.

Operational guidance: adopt canary deployments and feature flags to test agent behavior under the new controls before a full rollout. Add metrics that capture control effectiveness (e.g., reductions in unsafe responses, cost per session) so you can quantify the impact and iterate quickly.