OpenAI Chat Completion API Parameters Explained
Parameters Explained
- Description: A list of message objects that represent the conversation between the user and the assistant.
- Purpose: Provides context for the conversation. Each message object includes a role (
user,assistant, orsystem) and content, enabling the API to understand and respond appropriately.
- Description: Specifies the model to use for generating responses, such as
gpt-3.5-turboorgpt-4. - Purpose: Determines the capabilities, response quality, and computational cost of the API call.
- Description: The maximum number of tokens the model can generate in the response.
- Purpose: Controls the length of the output, ensuring it stays within a specified limit.
- Description: Specifies the number of response variations to generate.
- Purpose: Useful for generating multiple outputs for comparison or selection.
- Description: If set to
true, the response is streamed back incrementally rather than in one complete response. - Purpose: Allows real-time response generation, enhancing the user experience in applications requiring dynamic updates.
- Description: A value between 0 and 1 that determines the randomness of the output.
- Purpose: Lower values (e.g., 0.2) make responses more deterministic, while higher values (e.g., 0.8) increase creativity and variability.
- Description: An alternative to temperature that uses nucleus sampling to control randomness.
- Purpose: Limits token selection to a subset with the highest cumulative probability, ensuring more focused and coherent outputs.
- Description: A set of external tools or plugins the model can use during a conversation.
- Purpose: Enhances the model's functionality by allowing it to perform actions such as searching the web or executing code.