Post-Call Webhook

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"external_webhook_url": "www.exmaple.com/webhool_url"

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{
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    "status": "completed",
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    "error_message": "",
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    "lead": {
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        "name": "test",
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        "phone_number": "XXXXXXXX",
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        "prompt_variables": {}
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    },
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    "call": {
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        "status": "completed",
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        "end_call_reason": "agent_goodbye",
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        "model_id": "[UUID]",
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        "timezone": "Europe/Berlin",
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        "call_id": "[UUID]",
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        "duration": 113,
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        "start_time": "2025-10-27T10:59:46+01:00",
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        "transcript": "\nbot: Hello, thank you for calling [Summit Valley College]! This is [Brian], the virtual receptionist. How can I assist you today? \nhuman: Hi. I'm\nhuman: what are you? A receptionist of what?\nbot: Hey! I’m the virtual receptionist for Summit Valley College. Basically, I help answer questions, guide you to the right department, or assist with anything related to the college. What can I help you with today? \nhuman: Yeah. Well, I am very busy right now, but\nhuman: I would like to book an appointment.\nbot: Got it! You’d like to meet with an academic adviser tomorrow. Do you have a preferred time, or should I look for the earliest available slot? \nhuman: An academic.\nhuman: An academic adviser, please, and tomorrow if it's possible.\nhuman: Look for the earliest slot, please.\nbot: Alright, I’ll check for the earliest available slot with an academic adviser tomorrow. Can I get your full name and a phone number to confirm the appointment? \nhuman: My name is Julian\nhuman: and phone number is the same one I'm calling with.\nbot: Perfect, Julian! I’ll use the number you’re calling from. Just to confirm, you want the earliest appointment tomorrow with an academic adviser. Is there anything specific you’d like to discuss during your meeting? \nhuman: That would be all. Thank you.\nbot: No worries, Julian! If you think of anything else or need to change your appointment, just let me know. I’m here whenever you need. Have a good one! \nhuman: Same. But, like,",
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        "recording_sid": null,
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        "recording_url": "[REDACTED]",
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        "call_sid": "",
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        "agents_used": [],
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        "diversion": null,
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        "external_id": ""
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    },
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    "executed_actions": {
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        "extract_info_user email": {
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            "name": "extract_info_user email",
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            "action_type": "extract_info_action_type",
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            "call_id": "[UUID]",
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            "model_id": "[UUID]",
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            "workspace_id": "[UUID]",
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            "description": "Get information with question: What is the user's best email for follow ups?",
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            "parameters_hard_coded": {
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                "identifier": "user",
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                "condition": "What is the user's best email for follow ups?",
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                "choices": null,
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                "examples": [
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                    "daniel.wasserlauf@paigo.tech",
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                    "matt.sun@trychamp.co",
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                    "johnSmith@gmail.com",
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                    "alice.johnson13@outlook.com"
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                ]
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            },
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            "parameters_from_llm": {},
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            "error_message": null,
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            "speak_on_failure": "",
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            "return_value": {
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                "user email": null
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            },
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            "is_relevant_action": true,
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            "run_action_before_call_start": false,
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            "timestamp": 1761559301.6653843,
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            "timestamp_datetime": "2025-10-27T10:01:41.665384",
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            "parameters_schema": {},
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            "message_before_action": "",
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            "use_hard_coded_message": true,
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            "delay_message_time_seconds": 3,
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            "delay_message": "",
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            "action_failed_timeout": 7,
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            "real_time_action": false,
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            "is_interruptible": true,
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            "action_id": "[UUID]"
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        },
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        "extract_info_zip code": {
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            "name": "extract_info_zip code",
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            "action_type": "extract_info_action_type",
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            "call_id": "[UUID]",
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            "model_id": "[UUID]",
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            "workspace_id": "[UUID]",
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            "description": "Get information with question: What is the user’s zip code for their records?",
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            "parameters_hard_coded": {
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                "identifier": "zip",
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                "condition": "What is the user’s zip code for their records?",
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                "choices": null,
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                "examples": [
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                    "Example 1",
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                    "Example 2"
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                ]
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            },
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            "parameters_from_llm": {},
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            "error_message": null,
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            "speak_on_failure": "",
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            "return_value": {
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                "zip code": null
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            },
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            "is_relevant_action": true,
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            "run_action_before_call_start": false,
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            "timestamp": 1761559301.4698737,
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            "timestamp_datetime": "2025-10-27T10:01:41.469874",
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            "parameters_schema": {},
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            "message_before_action": "",
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            "use_hard_coded_message": true,
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            "delay_message_time_seconds": 3,
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            "delay_message": "",
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            "action_failed_timeout": 7,
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            "real_time_action": false,
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            "is_interruptible": true,
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            "action_id": "[UUID]"
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        },
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        "extract_info_annual income": {
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            "name": "extract_info_annual income",
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            "action_type": "extract_info_action_type",
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            "call_id": "[UUID]",
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            "model_id": "[UUID]",
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            "workspace_id": "[UUID]",
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            "description": "Get information with question: What is the user’s approximate annual income?",
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            "parameters_hard_coded": {
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                "identifier": "annual",
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                "condition": "What is the user’s approximate annual income?",
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                "choices": null,
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                "examples": [
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                    "Example 1",
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                    "Example 2"
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                ]
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            },
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            "parameters_from_llm": {},
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            "error_message": null,
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            "speak_on_failure": "",
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            "return_value": {
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                "annual income": null
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            },
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            "is_relevant_action": true,
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            "run_action_before_call_start": false,
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            "timestamp": 1761559301.0049357,
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            "timestamp_datetime": "2025-10-27T10:01:41.004936",
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            "parameters_schema": {},
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            "message_before_action": "",
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            "use_hard_coded_message": true,
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            "delay_message_time_seconds": 3,
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            "delay_message": "",
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            "action_failed_timeout": 7,
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            "real_time_action": false,
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            "is_interruptible": true,
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            "action_id": "[UUID]"
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        }
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    },
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    "analysis": {
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        "persona": "true",
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        "style": "true",
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        "steps": "true",
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        "no_repetition": "true",
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        "objections": "not_applicable",
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        "objection_not_defined": "not_applicable",
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        "knowledge": "not_applicable",
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        "goal": "partial",
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        "appointment": "true",
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        "user_sentiment": "partial",
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        "agent_sentiment": "true",
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        "call_completion": "true",
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        "answered_by_human": "true",
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        "opted_in": "true",
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        "no_opt_out": "true",
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        "call_summary": "true",
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        "persona_feedback": "",
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        "style_feedback": "",
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        "steps_feedback": "",
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        "no_repetition_feedback": "",
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        "objections_feedback": "",
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        "objection_not_defined_feedback": "",
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        "knowledge_feedback": "",
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        "goal_feedback": "User didn't specify the exact time for the appointment, but the agent proceeded with booking the earliest available slot.",
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        "appointment_feedback": "",
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        "user_sentiment_feedback": "The user seemed busy and did not engage much beyond booking the appointment.",
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        "agent_sentiment_feedback": "",
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        "call_completion_feedback": "",
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        "answered_by_human_feedback": "",
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        "opted_in_feedback": "",
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        "no_opt_out_feedback": "",
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        "call_summary_feedback": "The user called to book an appointment with an academic adviser for the earliest available slot tomorrow. The agent confirmed the details and completed the booking.",
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        "judge_found_partial_or_error": true,
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        "judge_found_full_error": false,
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        "all_feedback": "User didn't specify the exact time for the appointment, but the agent proceeded with booking the earliest available slot. The user seemed busy and did not engage much beyond booking the appointment."
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    },
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    "metadata": {}
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}