556a790e-020b-48de-a0a7-60f24d11e61d
FAILED
Time
22/07/2026 20:57:22
Duration
1m 8s
Campaign
-
Conversation ID
conv_9701ky51vv0nfkwvdv8zmkxefbx0
Recording
AI Extraction
odo
CHƯA RÕ
loan
CHƯA RÕ
year
CHƯA RÕ
status
FAILED
summary
-
is_owner
CHƯA RÕ
location
CHƯA RÕ
intention
SLOW
is_silent
-
info_score
-
is_closing
-
car_history
CHƯA RÕ
sale_reason
CHƯA RÕ
zalo_status
CHƯA RÕ
asking_price
CHƯA RÕ
fee_confirmed
FALSE
Execution Steps
✓
FIND_LEAD
205ms
22/07 20:57
▸ Input
{
"phone": "0389402326"
}
▸ Output
{
"car_brand": "mazda",
"car_model": "2",
"lead_id": "556a790e-020b-48de-a0a7-60f24d11e61d",
"name": "Nguy\u1ec5n V\u0169 Ph\u01b0\u01a1ng",
"sales": "U09ECRJ1JJY",
"sku": "SKU-3LNXAH"
}
✓
PREPARE_CALL
2.3s
22/07 20:57
▸ Input
{
"car_brand": "mazda",
"car_model": "2",
"name": "Nguy\u1ec5n V\u0169 Ph\u01b0\u01a1ng",
"sku": "SKU-3LNXAH"
}
▸ Output
{
"agent_id": "agent_2601kwkhdyzhfq4t8yvnr0r5n4bn",
"thread_ts": "1784728516.274909",
"variables": {
"anh_chi": "ch\u1ecb",
"car_make": "mazda 2 2025",
"data": "t\u00f3m t\u1eaft kh\u00e1ch h\u00e0ng: th\u1eddi gian mu\u1ed1n b\u00e1n:Tr\u00ean 1 th\u00e1ng, l\u00fd do b\u00e1n: Kh\u00f4ng c\u00f2n nhu c\u1ea7u s\u1eed d\u1ee5ng, odo: 10000, gi\u00e1 mong mu\u1ed1n: 450000000, v\u1ecb tr\u00ed: TP.HCM",
"user_name": "Nguy\u1ec5n V\u0169 Ph\u01b0\u01a1ng"
}
}
✓
OUTBOUND_CALL
17.6s
22/07 20:57
▸ Input
{
"agent_id": "agent_2601kwkhdyzhfq4t8yvnr0r5n4bn",
"phone": "0389402326",
"variables": {
"anh_chi": "ch\u1ecb",
"car_make": "mazda 2 2025",
"data": "t\u00f3m t\u1eaft kh\u00e1ch h\u00e0ng: th\u1eddi gian mu\u1ed1n b\u00e1n:Tr\u00ean 1 th\u00e1ng, l\u00fd do b\u00e1n: Kh\u00f4ng c\u00f2n nhu c\u1ea7u s\u1eed d\u1ee5ng, odo: 10000, gi\u00e1 mong mu\u1ed1n: 450000000, v\u1ecb tr\u00ed: TP.HCM",
"user_name": "Nguy\u1ec5n V\u0169 Ph\u01b0\u01a1ng"
}
}
▸ Output
{
"conversation_id": "conv_9701ky51vv0nfkwvdv8zmkxefbx0",
"raw": {
"conversation_id": "conv_9701ky51vv0nfkwvdv8zmkxefbx0",
"message": "Outbound call initiated",
"sip_call_id": "SCL_vo84wESrvXAt",
"success": true
},
"retries": 0
}
✓
WAIT_CONVERSATION
4m 0s
22/07 21:01
▸ Input
{
"conversation_id": "conv_9701ky51vv0nfkwvdv8zmkxefbx0"
}
▸ Output
{
"duration_secs": 68,
"status": "done"
}
✓
TRANSCRIPT
22/07 21:01
▸ Input
{
"raw_turns": 5
}
▸ Output
{
"full_chat": "Agent: \u201cD\u1ea1 alo, cho em h\u1ecfi c\u00f3 ph\u1ea3i ch\u1ecb Nguy\u1ec5n V\u0169 Ph\u01b0\u01a1ng \u0111ang nghe m\u00e1y kh\u00f4ng \u1ea1? Em l\u00e0 M\u1ef9 Linh b\u00ean Vu-Ca, g\u1ecdi h\u1ed7 tr\u1ee3 m\u00ecnh b\u00e1n xe mazda 2 2025 \u1ea1. Cu\u1ed9c g\u1ecdi c\u00f3 ghi \u00e2m \u0111\u1ec3 ghi nh\u1eadn th\u00f4ng tin \u1ea1. D\u1ea1 xe n\u00e0y m\u00ecnh mua m\u1edbi ch\u00ednh ch\u1ee7 t\u1eeb \u0111\u1ea7u \u0111\u00fang kh\u00f4ng \u1ea1?\u201d\nClient: \u1edcm. \u1edcm, m\u00ecnh, m\u00ecnh... K\u00ea-- ch\u00ednh ch\u1ee7 nh\u01b0ng m\u00e0 m\u00ecnh, m\u00ecnh h\u1ecfi, m\u00ecnh mu\u1ed1n h\u1ecfi m\u00ecnh, m\u00ecnh c\u00f3 th\u1ec3 \u0111\u1ecbnh gi\u00e1 xe m\u00ecnh l\u00e0 bao nhi\u00eau?\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1 em th\u1ea5y m\u1ee9c gi\u00e1 mong mu\u1ed1n c\u1ee7a ch\u1ecb l\u00e0 b\u1ed1n tr\u0103m n\u0103m m\u01b0\u01a1i tri\u1ec7u \u0111\u1ed3ng, c\u00f3 \u0111\u00fang kh\u00f4ng \u1ea1?\nClient: \u0110\u00fang r\u1ed3i.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1 em ghi nh\u1eadn m\u1ee9c gi\u00e1 mong mu\u1ed1n b\u1ed1n tr\u0103m n\u0103m m\u01b0\u01a1i tri\u1ec7u \u0111\u1ed3ng c\u1ee7a m\u00ecnh r\u1ed3i \u1ea1. B\u00ean em thu ph\u00ed d\u1ecbch v\u1ee5 ch\u1ec9 m\u1ed9t ph\u1ea7n tr\u0103m tr\u00ean gi\u00e1 b\u00e1n cu\u1ed1i c\u00f9ng th\u00f4i \u1ea1. B\u00ean em k\u1ebft n\u1ed1i h\u01a1n hai ngh\u00ecn ng\u01b0\u1eddi mua ti\u1ec1m n\u0103ng \u0111\u1ec3 mang l\u1ea1i gi\u00e1 t\u1ed1t nh\u1ea5t cho m\u00ecnh \u1ea1. Ch\u1ecb c\u00f3 th\u1eafc m\u1eafc g\u00ec v\u1ec1 ph\u00ed d\u1ecbch v\u1ee5 hay c\u00e1ch ho\u1ea1t \u0111\u1ed9ng c\u1ee7a Vu-Ca kh\u00f4ng \u1ea1?",
"length": 867,
"turns": 5
}
✓
AI_EXTRACTION
2m 32s
22/07 21:04
▸ Input
{
"model": "DeepSeek-V4-Flash",
"system_prompt": "B\u1ea1n l\u00e0 m\u1ed9t tr\u1ee3 l\u00fd \u1ea3o chuy\u00ean ph\u00e2n t\u00edch h\u1ed9i tho\u1ea1i cu\u1ed9c g\u1ecdi first-call c\u1ee7a Vu-Ca \u0111\u1ec3 \u0111\u00e1nh gi\u00e1 ch\u1ea5t l\u01b0\u1ee3ng v\u00e0 tr\u00edch xu\u1ea5t d\u1eef li\u1ec7u.\n\nNhi\u1ec7m v\u1ee5: \u0110\u1ecdc transcript v\u00e0 tr\u1ea3 v\u1ec1 JSON theo \u0111\u00fang c\u00e1c ti\u00eau ch\u00ed sau:\n\n1. status: (QUAN TR\u1eccNG - PH\u1ea2I \u0110\u00c1NH GI\u00c1 NGHI\u00caM NG\u1eb6T)\n - \u0027VOICEMAIL\u0027: Cu\u1ed9c g\u1ecdi v\u00e0o tin nh\u1eafn tho\u1ea1i ho\u1eb7c bot t\u1ef1 n\u00f3i m\u1ed9t m\u00ecnh kh\u00f4ng nh\u1eadn \u0111\u01b0\u1ee3c ph\u1ea3n h\u1ed3i.\n - \u0027WRONG NUMBER\u0027: Agent g\u1ecdi nh\u1ea7m ng\u01b0\u1eddi.\n - \u0027REFUSED\u0027: Kh\u00e1ch t\u1eeb ch\u1ed1i b\u00e1n xe, kh\u00f4ng c\u00f2n nhu c\u1ea7u, ho\u1eb7c y\u00eau c\u1ea7u \u0111\u1eebng li\u00ean h\u1ec7 (v\u00ed d\u1ee5: \"kh\u00f4ng b\u00e1n n\u1eefa\", \"\u0111\u1eebng g\u1ecdi\", \"ch\u01b0a c\u00f3 nhu c\u1ea7u\").\n - \u0027SUCCESS\u0027: CH\u1ec8 \u0111\u01b0\u1ee3c d\u00f9ng khi \u0111\u1ea1t \u00edt nh\u1ea5t 2 trong 4 \u0111i\u1ec1u ki\u1ec7n sau V\u00c0 info_score \u2265 7:\n a. Agent \u0111\u00e3 x\u00e1c nh\u1eadn Zalo \u0111\u00fang s\u1ed1 \u0111ang g\u1ecdi (kh\u00e1ch n\u00f3i \"\u0111\u00fang r\u1ed3i\", \"\u0111\u00fang \u1ea1\" ho\u1eb7c \u0111\u01b0a s\u1ed1 Zalo m\u1edbi).\n b. Agent \u0111\u00e3 x\u00e1c nh\u1eadn gi\u00e1 mong mu\u1ed1n + \u0111\u1ecdc l\u1ea1i gi\u00e1 cho kh\u00e1ch x\u00e1c nh\u1eadn (\"D\u1ea1 em xin ph\u00e9p \u0111\u1ecdc l\u1ea1i m\u1ee9c gi\u00e1... \u0111\u00fang kh\u00f4ng \u1ea1?\").\n c. Agent \u0111\u00e3 n\u00f3i r\u00f5 \"ph\u00ed d\u1ecbch v\u1ee5 ch\u1ec9 1%\" v\u00e0 \"k\u1ebft n\u1ed1i h\u01a1n 2000 ng\u01b0\u1eddi mua ti\u1ec1m n\u0103ng\".\n d. Agent \u0111\u00e3 n\u00f3i c\u00e2u h\u01b0\u1edbng d\u1eabn cu\u1ed1i b\u1eaft bu\u1ed9c: \"Sau khi k\u1ebft b\u1ea1n Zalo anh/ch\u1ecb g\u1eedi gi\u00fap em b\u1ed9 \u1ea3nh n\u1ed9i ngo\u1ea1i th\u1ea5t xe v\u00e0 gi\u1ea5y \u0111\u0103ng ki\u1ec3m...\".\n e. info_score \u2265 7.\n N\u1ebfu kh\u00f4ng \u0111\u1ea1t \u00edt nh\u1ea5t 2/4 \u0111i\u1ec1u ki\u1ec7n a\u2013d HO\u1eb6C info_score \u003c 7 \u2192 ph\u1ea3i cho CALL BACK.\n - \u0027CALL BACK\u0027:\n \u2022 \u0110\u00fang ng\u01b0\u1eddi nh\u01b0ng ch\u1ec9 \u0111\u1ea1t \u003c 2/4 \u0111i\u1ec1u ki\u1ec7n a\u2013d.\n \u2022 Ho\u1eb7c info_score \u003c 7.\n \u2022 Ho\u1eb7c kh\u00e1ch h\u1eb9n g\u1ecdi l\u1ea1i / c\u1ea7n x\u00e1c nh\u1eadn th\u00eam th\u00f4ng tin.\n\n2. info_score: \u0110\u1ebfm s\u1ed1 m\u1ee5c c\u00f3 th\u00f4ng tin r\u00f5 r\u00e0ng (kh\u00e1c \"CH\u01afA R\u00d5\").\n3. is_owner: \u0027CH\u00cdNH CH\u1ee6\u0027, \u0027KH\u00d4NG CH\u00cdNH CH\u1ee6\u0027, \u0027MUA L\u1ea0I \u0110\u00c3 SANG T\u00caN\u0027, \u0027MUA L\u1ea0I CH\u01afA SANG T\u00caN\u0027, \u0027MUA L\u1ea0I\u0027 ho\u1eb7c \u0027CH\u01afA R\u00d5\u0027.\n4. Year: S\u1ed1 n\u0103m s\u1ea3n xu\u1ea5t (v\u00ed d\u1ee5: 2022). N\u1ebfu kh\u00f4ng c\u00f3 \u2192 \u0027CH\u01afA R\u00d5\u0027.\n5. loan: \u0027C\u00d2N VAY NG\u00c2N H\u00c0NG\u0027, \u0027KH\u00d4NG VAY NG\u00c2N H\u00c0NG\u0027 ho\u1eb7c \u0027CH\u01afA R\u00d5\u0027.\n6. location: T\u1ec9nh/th\u00e0nh + qu\u1eadn/huy\u1ec7n n\u1ebfu c\u00f3. N\u1ebfu kh\u00f4ng c\u00f3 \u2192 \u0027CH\u01afA R\u00d5\u0027.\n7. odo: S\u1ed1 km \u0111\u00e3 ch\u1ea1y (v\u00ed d\u1ee5: 32000). N\u1ebfu kh\u00f4ng c\u00f3 \u2192 \u0027CH\u01afA R\u00d5\u0027.\n8. car_history: T\u00f3m t\u1eaft c\u00e2u tr\u1ea3 l\u1eddi c\u1ee7a kh\u00e1ch v\u1ec1 va ch\u1ea1m/ng\u1eadp n\u01b0\u1edbc, xe c\u00e1 nh\u00e2n hay d\u1ecbch v\u1ee5.\n9. intention: \u0027FAST\u0027 n\u1ebfu mu\u1ed1n b\u00e1n d\u01b0\u1edbi 1 tu\u1ea7n ho\u1eb7c c\u1ea7n g\u1ea5p. Ng\u01b0\u1ee3c l\u1ea1i l\u00e0 \u0027SLOW\u0027.\n10. sale_reason: L\u00fd do b\u00e1n xe. N\u1ebfu kh\u00f4ng c\u00f3 \u2192 \u0027CH\u01afA R\u00d5\u0027.\n11. asking_price: Gi\u00e1 mong mu\u1ed1n (s\u1ed1 \u0111\u1ea7y \u0111\u1ee7, v\u00ed d\u1ee5: 340000000). N\u1ebfu kh\u00f4ng r\u00f5 \u2192 \u0027CH\u01afA R\u00d5\u0027.\n12. fee_confirmed: \u0027TRUE\u0027 n\u1ebfu agent \u0111\u00e3 n\u00f3i \"ph\u00ed 1%\" sau khi x\u00e1c nh\u1eadn gi\u00e1. Ng\u01b0\u1ee3c l\u1ea1i \u0027FALSE\u0027.\n13. zalo_status: \u0027TRUE\u0027 n\u1ebfu agent x\u00e1c nh\u1eadn \u0111\u00fang s\u1ed1 Zalo \u0111ang g\u1ecdi. \u0027FALSE\u0027 n\u1ebfu kh\u00e1ch t\u1eeb ch\u1ed1i ho\u1eb7c ch\u01b0a x\u00e1c nh\u1eadn.\n14. summary: T\u00f3m t\u1eaft ng\u1eafn g\u1ecdn cu\u1ed9c g\u1ecdi b\u1eb1ng ti\u1ebfng Vi\u1ec7t (4-5 c\u00e2u).\n\nY\u00caU C\u1ea6U QUAN TR\u1eccNG:\n- Ch\u1ec9 tr\u1ea3 v\u1ec1 JSON duy nh\u1ea5t, kh\u00f4ng gi\u1ea3i th\u00edch.\n- Kh\u00f4ng d\u00f9ng gi\u00e1 tr\u1ecb N/A.\n- \u0110\u00e1nh gi\u00e1 status ph\u1ea3i d\u1ef1a tr\u00ean h\u00e0nh vi th\u1ef1c t\u1ebf c\u1ee7a agent theo k\u1ecbch b\u1ea3n first-call (x\u00e1c nh\u1eadn Zalo, \u0111\u1ecdc l\u1ea1i gi\u00e1, n\u00f3i ph\u00ed 1%, \u0111\u01b0a c\u00e2u h\u01b0\u1edbng d\u1eabn cu\u1ed1i).\n- N\u1ebfu transcript cho th\u1ea5y agent ch\u01b0a ho\u00e0n th\u00e0nh c\u00e1c b\u01b0\u1edbc closing quan tr\u1ecdng th\u00ec \u01b0u ti\u00ean CALL BACK thay v\u00ec SUCCESS.\nReturn ONLY a valid JSON object.",
"transcript": "Agent: \u201cD\u1ea1 alo, cho em h\u1ecfi c\u00f3 ph\u1ea3i ch\u1ecb Nguy\u1ec5n V\u0169 Ph\u01b0\u01a1ng \u0111ang nghe m\u00e1y kh\u00f4ng \u1ea1? Em l\u00e0 M\u1ef9 Linh b\u00ean Vu-Ca, g\u1ecdi h\u1ed7 tr\u1ee3 m\u00ecnh b\u00e1n xe mazda 2 2025 \u1ea1. Cu\u1ed9c g\u1ecdi c\u00f3 ghi \u00e2m \u0111\u1ec3 ghi nh\u1eadn th\u00f4ng tin \u1ea1. D\u1ea1 xe n\u00e0y m\u00ecnh mua m\u1edbi ch\u00ednh ch\u1ee7 t\u1eeb \u0111\u1ea7u \u0111\u00fang kh\u00f4ng \u1ea1?\u201d\nClient: \u1edcm. \u1edcm, m\u00ecnh, m\u00ecnh... K\u00ea-- ch\u00ednh ch\u1ee7 nh\u01b0ng m\u00e0 m\u00ecnh, m\u00ecnh h\u1ecfi, m\u00ecnh mu\u1ed1n h\u1ecfi m\u00ecnh, m\u00ecnh c\u00f3 th\u1ec3 \u0111\u1ecbnh gi\u00e1 xe m\u00ecnh l\u00e0 bao nhi\u00eau?\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1 em th\u1ea5y m\u1ee9c gi\u00e1 mong mu\u1ed1n c\u1ee7a ch\u1ecb l\u00e0 b\u1ed1n tr\u0103m n\u0103m m\u01b0\u01a1i tri\u1ec7u \u0111\u1ed3ng, c\u00f3 \u0111\u00fang kh\u00f4ng \u1ea1?\nClient: \u0110\u00fang r\u1ed3i.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1 em ghi nh\u1eadn m\u1ee9c gi\u00e1 mong mu\u1ed1n b\u1ed1n tr\u0103m n\u0103m m\u01b0\u01a1i tri\u1ec7u \u0111\u1ed3ng c\u1ee7a m\u00ecnh r\u1ed3i \u1ea1. B\u00ean em thu ph\u00ed d\u1ecbch v\u1ee5 ch\u1ec9 m\u1ed9t ph\u1ea7n tr\u0103m tr\u00ean gi\u00e1 b\u00e1n cu\u1ed1i c\u00f9ng th\u00f4i \u1ea1. B\u00ean em k\u1ebft n\u1ed1i h\u01a1n hai ngh\u00ecn ng\u01b0\u1eddi mua ti\u1ec1m n\u0103ng \u0111\u1ec3 mang l\u1ea1i gi\u00e1 t\u1ed1t nh\u1ea5t cho m\u00ecnh \u1ea1. Ch\u1ecb c\u00f3 th\u1eafc m\u1eafc g\u00ec v\u1ec1 ph\u00ed d\u1ecbch v\u1ee5 hay c\u00e1ch ho\u1ea1t \u0111\u1ed9ng c\u1ee7a Vu-Ca kh\u00f4ng \u1ea1?"
}
▸ Output
{
"asking_price": "CH\u01afA R\u00d5",
"car_history": "CH\u01afA R\u00d5",
"fee_confirmed": "FALSE",
"info_score": 0,
"intention": "SLOW",
"is_closing": false,
"is_owner": "CH\u01afA R\u00d5",
"is_silent": false,
"loan": "CH\u01afA R\u00d5",
"location": "CH\u01afA R\u00d5",
"odo": "CH\u01afA R\u00d5",
"sale_reason": "CH\u01afA R\u00d5",
"status": "FAILED",
"summary": "",
"year": "CH\u01afA R\u00d5",
"zalo_status": "CH\u01afA R\u00d5"
}
✓
SLACK_POST
680ms
22/07 21:04
▸ Input
{
"sales_slack_id": "U09ECRJ1JJY",
"sku": "SKU-3LNXAH",
"status": "FAILED",
"summary": ""
}
▸ Output
{
"posted": true,
"thread_ts": "1784728516.274909"
}
✓
CRM_APIS
182ms
22/07 21:04
✓
CRM_ACTIVITIES
142ms
22/07 21:04
✓
SLACK_AUDIO
2.6s
22/07 21:04
✓
UPDATE_CLOSING
144ms
22/07 21:04
{
"is_closing": false,
"is_silent": false
}
Transcript
Agent: “Dạ alo, cho em hỏi có phải chị Nguyễn Vũ Phương đang nghe máy không ạ? Em là Mỹ Linh bên Vu-Ca, gọi hỗ trợ mình bán xe mazda 2 2025 ạ. Cuộc gọi có ghi âm để ghi nhận thông tin ạ. Dạ xe này mình mua mới chính chủ từ đầu đúng không ạ?” Client: Ờm. Ờm, mình, mình... Kê-- chính chủ nhưng mà mình, mình hỏi, mình muốn hỏi mình, mình có thể định giá xe mình là bao nhiêu? Agent: dạ, em nắm thông tin của mình ạ! Dạ em thấy mức giá mong muốn của chị là bốn trăm năm mươi triệu đồng, có đúng không ạ? Client: Đúng rồi. Agent: dạ, em nắm thông tin của mình ạ! Dạ em ghi nhận mức giá mong muốn bốn trăm năm mươi triệu đồng của mình rồi ạ. Bên em thu phí dịch vụ chỉ một phần trăm trên giá bán cuối cùng thôi ạ. Bên em kết nối hơn hai nghìn người mua tiềm năng để mang lại giá tốt nhất cho mình ạ. Chị có thắc mắc gì về phí dịch vụ hay cách hoạt động của Vu-Ca không ạ?