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Responses API
Overview :
The OpenAI API's Responses feature allows users to create, retrieve, update, and delete model responses. It provides developers with powerful tools for managing model output and behavior. Through Responses, users can better control the generated content of the model, optimize model performance, and improve development efficiency by storing and retrieving responses. This feature supports multiple models and is suitable for scenarios requiring highly customized model outputs, such as chatbots, content generation, and data analysis. The OpenAI API offers flexible pricing plans to suit the needs of individuals to large enterprises.
Target Users :
This product is suitable for developers who need highly customized model outputs, such as teams building chatbots, content generation tools, or data analysis platforms. It helps developers better control model behavior, optimize user experience, and quickly implement functionality through flexible API interfaces.
Use Cases
Create a chatbot response to automatically answer user questions.
Generate the beginning of an article or story for a content creation platform.
Analyze user input text, extract key information, and generate a summary.
Features
Create model responses: Users can create model responses based on the input prompt.
Get response details: Get stored response information through the response ID.
Update response content: Modify the metadata or other information of the stored response.
Delete responses: Delete unnecessary responses from the system.
Support multiple models: Compatible with various language and functional models provided by OpenAI.
Response storage and retrieval: Store responses for later use, supporting pagination and filtering queries.
Streaming responses: Supports receiving response content gradually in a streaming manner.
How to Use
1. Register and log in to the OpenAI platform to obtain an API key.
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2. Find the Responses related interface in the OpenAI API documentation.
3. Use an HTTP request to call the response creation interface and pass in the necessary parameters (such as model ID and prompt).
4. Get response details through the response ID to view the generated content.
5. If you need to modify the response, call the update interface and modify the relevant fields.
6. Use pagination and filtering functions to manage a large number of responses.
7. In practical applications, integrate the responses into chatbots or content generation tools.
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