amazon_bedrock.post_prompt
The final set of instructions and configuration settings to send to the agent.
| Name | Type | Default | Description |
|---|---|---|---|
post_promptOptional | object | - | An object that accepts the post_prompt parameters. |
post_prompt Parameters​
- Regular Prompt
- POM Prompts
| Name | Type | Default | Description |
|---|---|---|---|
textRequired | string | - | The main identity prompt for the AI. This prompt will be used to outline the agent's personality, role, and other characteristics. |
temperatureOptional | number | 1.0 | Randomness setting. Float value between 0.0 and 1.5. Closer to 0 will make the output less random. |
top_pOptional | number | 1.0 | Randomness setting. Alternative to temperature. Float value between 0.0 and 1.0. Closer to 0 will make the output less random. |
confidenceOptional | number | 0.6 | Threshold to fire a speech-detect event at the end of the utterance. Float value between 0.0 and 1.0. Decreasing this value will reduce the pause after the user speaks, but may introduce false positives. |
presence_penaltyOptional | number | 0 | Aversion to staying on topic. Float value between -2.0 and 2.0. Positive values increase the model's likelihood to talk about new topics. |
frequency_penaltyOptional | number | 0 | Aversion to repeating lines. Float value between -2.0 and 2.0. Positive values decrease the model's likelihood to repeat the same line verbatim. |
| Name | Type | Default | Description |
|---|---|---|---|
pomRequired | object[] | - | 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. |
temperatureOptional | number | 1.0 | Randomness setting. Float value between 0.0 and 1.5. Closer to 0 will make the output less random. |
top_pOptional | number | 1.0 | Randomness setting. Alternative to temperature. Float value between 0.0 and 1.0. Closer to 0 will make the output less random. |
confidenceOptional | number | 0.6 | Threshold to fire a speech-detect event at the end of the utterance. Float value between 0.0 and 1.0. Decreasing this value will reduce the pause after the user speaks, but may introduce false positives. |
presence_penaltyOptional | number | 0 | Aversion to staying on topic. Float value between -2.0 and 2.0. Positive values increase the model's likelihood to talk about new topics. |
frequency_penaltyOptional | number | 0 | Aversion to repeating lines. Float value between -2.0 and 2.0. Positive values decrease the model's likelihood to repeat the same line verbatim. |