amazon_bedrock.post_prompt
The final set of instructions and configuration settings to send to the agent.
An object that accepts the post_prompt parameters.
post_prompt Parameters
- Regular Prompt
- POM Prompts
The main identity prompt for the AI. This prompt will be used to outline the agent's personality, role, and other characteristics.
Controls the randomness of responses. Higher values (e.g., 0.8) make output more random and creative, while lower values (e.g., 0.2) make it more focused and deterministic. Range: 0.0 to 1.0.
Controls diversity via nucleus sampling. Only tokens with cumulative probability up to top_p are considered. Lower values make output more focused. Range: 0.0 to 1.0.
Minimum confidence threshold for AI responses. Responses below this threshold may be filtered or flagged. Range: 0.0 to 1.0.
Penalizes tokens based on whether they appear in the text so far. Positive values encourage the model to talk about new topics.
An array of objects that defines the prompt object model (POM) for the AI. The POM is a structured data format for organizing and rendering a prompt for the AI agent. This prompt will be used to define the AI's personality, role, and other characteristics. See the POM technical reference for more information.
Controls the randomness of responses. Higher values (e.g., 0.8) make output more random and creative, while lower values (e.g., 0.2) make it more focused and deterministic. Range: 0.0 to 1.0.
Controls diversity via nucleus sampling. Only tokens with cumulative probability up to top_p are considered. Lower values make output more focused. Range: 0.0 to 1.0.
Minimum confidence threshold for AI responses. Responses below this threshold may be filtered or flagged. Range: 0.0 to 1.0.
Penalizes tokens based on whether they appear in the text so far. Positive values encourage the model to talk about new topics.