Lesson 1820 of 2116
OpenAI Responses API for Reasoning Models: Carrying State Across Turns
The Responses API gives OpenAI reasoning models a stateful surface; understand how to carry reasoning across turns without re-paying compute.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2OpenAI Responses API
- 3reasoning models
- 4state
Concept cluster
Terms to connect while reading
Section 1
The premise
The OpenAI Responses API gives reasoning models a stateful, multi-turn interface so agents can build on prior reasoning without re-paying for it each call.
What AI does well here
- Reuse stored reasoning across follow-up turns to cut latency and cost
- Compose tool calls and reasoning steps inside a single response
- Persist conversation state on the server to simplify client logic
What AI cannot do
- Substitute for an evaluation harness on production reasoning chains
- Guarantee deterministic outputs across reasoning variants
- Replace your own state model when business semantics differ from chat
Key terms in this lesson
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