Overview
The Logic+ AI Agent data source provides interaction records generated by AI Agent conversations, including call details, AI-generated summaries, sentiment and topic data, tool call activity, and escalation outcomes. It is useful for reporting on AI Agent performance, self-service rates, and conversation quality.
As with other Insights data sources, the fields below can be used to build reports, create derived fields, apply filters, set groupings, and build charts.
Field Reference
Field Name |
Type |
Description |
|---|---|---|
abandon_reason |
String |
Reason the call was abandoned (for example, caller hung up or no answer). Primarily relevant for incomplete or abandoned interactions. |
agent_id |
String |
The unique identifier for the AI Agent configuration used for the interaction. |
agent_name |
String |
The human-readable name of the AI Agent as configured. |
call_direction |
String |
Indicates whether the interaction was inbound or outbound. Values: |
call_duration |
Integer |
Total call duration in seconds from start to end. |
call_rating |
String |
Call quality or experience rating, if configured. Values may include: |
call_successful |
Boolean |
Whether the call completed successfully per the AI Agent. This reflects the conversation's own success flag, not a telephony-level record. |
call_topic |
String |
The primary topic of the conversation as identified during the interaction (for example, |
called_number |
String |
The phone number dialed — the destination number for the call. |
caller_frustration_level |
String |
A qualitative assessment of caller frustration during the interaction. Values may include: |
caller_number |
String |
The caller's originating phone number. |
caller_sentiment |
String |
Overall sentiment for the caller's side of the conversation. Values may include: |
conversation_id |
String |
The unique AI Agent conversation identifier. This is the primary key for the interaction at the provider level. |
crm_companyId |
String |
The identifier for the customer's account or company record in a connected CRM, when populated via integration or dynamic variables. |
custom_data_points |
JSON Object |
All custom dynamic variables captured during the interaction. This field often contains customer-specific metrics or identifiers set during the conversation. |
custom_llm_response |
Text |
Additional AI-generated analysis or output configured in the AI Agent's prompts, beyond the core summary. |
end_time |
Timestamp |
Call completion timestamp in ISO 8601 format. |
error_code |
String |
Technical error code for a failed call initiation (for example, |
failure_reason |
String |
Human-readable explanation for a call initiation failure. |
has_audio |
Boolean |
Indicates that a conversation-level audio recording exists for the call. |
has_response_audio |
Boolean |
Indicates that the AI Agent's response audio is available. |
has_user_audio |
Boolean |
Indicates that the caller's audio is available. |
interaction_id |
String |
Internal unique identifier for the AI Agent record within Insights. |
next_actions |
Text |
Recommended follow-up tasks or actions derived from the conversation. |
organization_id |
String |
Internal identifier for the customer organization or account associated with the interaction. |
path_taken |
String |
Identifier of the conversation flow or route taken through the AI Agent (for example, which dialog path or scenario was followed). |
recording_url |
String |
URL where the final audio recording for the interaction is accessible. |
retry_attempts |
Integer |
Number of attempts to initiate the call before a failure was finalized. |
self_serve_status |
Boolean |
Indicates whether the customer was fully self-served by the AI Agent without being transferred to a human agent. |
speaking_breakdown |
String |
Text representation of speaking-time distribution between the caller and the AI Agent (for example, |
start_time |
Timestamp |
Call initiation timestamp in ISO 8601 format. |
summary |
Text |
AI-generated summary describing the full interaction. |
tool_calls |
JSON Array |
Detailed list of tool invocations during the interaction, including tool name, parameters, results, timestamps, and success flags. |
tool_results |
JSON |
Aggregated or extracted results from tool executions during the interaction. |
transfer_required |
Boolean |
Indicates whether the interaction required escalation or transfer to a human agent. |
user_id |
String |
A customer-provided user identifier associated with the interaction, if supplied to the AI Agent. |