openai-responses-api

Switch from Chat Completions by configuring your Python OpenAI client and using `client.responses.create` to generate structured outputs, then parse the results directly using the built-in parsing methods.

Maintain multi-turn conversation context in the Responses API by using the `store` parameter or passing `previous_response_id` to chain responses together without manually resending the entire message history.

Yes, the Responses API supports built-in tooling integration, allowing you to augment model responses by utilizing tools like `web_search`, `file_search`, and `code_interpreter` directly within your API calls.

The best way to parse structured data is using the `client.responses.parse` method, which handles the conversion of chat-style prompts into structured results ready for immediate programmatic use.

You need to load configuration settings using `get_config()` to properly set up your OpenAI client before executing multi-turn workflows and leveraging built-in tools via the Responses API.