A conversational agent action step executes a specific agent action within the system. The agent action can be either one of the built-in actions that have been carefully prepared by the Prospera team, or it can be a custom defined action which executes another smart-chain.
Options
| The module ID of the action that needs to get executed |
| The action ID of the action that needs to get executed |
| The parameters to be used with the action, which are usually auto-generated by an LLM to match the schema provided for the action parameters. |
| Custom actions to include in the tool selection. These must be provided with a smart_chain_binding_name that indicates which smart chain to execute for the action. The 'text' field on the output from the smart-chain will be used as the action result. |
Output
| The module ID of the action that was selected. |
| The action ID of the action that was selected. |
| The parameters that the LLM generated for the action. This will match the schema provided for the action parameters. |
| The raw text of the prompt that was sent up to the LLM provider. |
| If the selected action includes text, such as a message send, then this is text of the response to be said back to the user. Otherwise blank |
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