Tech Companies Tech Brief By HackerNoon
OpenAI Responses API vs Chat Completions: What Changes for Agents?
Aug 6, 2026 · 4 min · 7 segments
This story was originally published on HackerNoon at…
Tech Companies Tech Brief By HackerNoon
Aug 6, 2026 · 4 min · 7 segments
This story was originally published on HackerNoon at…
Chat completions.
Conversation messages at the center.
The core data structure of chat completions is In each request round, the client must submit the context required for the model to understand the current task.
After the model decides to call a tool, it will return a result similar to the following.
After the application executes, the next request must include the previous conversation, the tool calls initiated by the model, and the results of those tool executions.
This approach is intuitive, well-established, and still suitable for most chat scenarios.
However, it has one obvious engineering shortcoming.
Context management is primarily handled by the client.
As conversations grow longer and tool calls increase, the application must continuously maintain and replay historical messages.
Chat completions.
Conversation messages at the center.
The core data structure of chat completions is In each request round, the client must submit the context required for the model to understand the current task.
After the model decides to call a tool, it will return a result similar to the following.
After the application executes, the next request must include the previous conversation, the tool calls initiated by the model, and the results of those tool executions.
This approach is intuitive, well-established, and still suitable for most chat scenarios.
However, it has one obvious engineering shortcoming.
Context management is primarily handled by the client.
As conversations grow longer and tool calls increase, the application must continuously maintain and replay historical messages.
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