# messages

role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-27 10:40:08
updated_at: 2025-11-27 10:40:08
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 021764240009661f5e8689705b7f40b96b9c9b97eaca8a89cd7d5', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-28 02:51:40
updated_at: 2025-11-28 02:51:40
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 0217642983014144790912e2a78eaf2d44d94ddea197f8782cc9d', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-28 07:00:11
updated_at: 2025-11-28 07:00:11
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 021764313212316b158ac774f84a1bbec06b04fffd8ca14c51c2e', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-28 08:15:59
updated_at: 2025-11-28 08:15:59
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 0217643177602018224431370f7af3f6a0b625a789c5372b5fc2c', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 01:48:37
updated_at: 2025-11-29 01:48:37
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 0217643809184884f28f9638b6effb5ab036b3eddba1d56900f23', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 02:08:17
updated_at: 2025-11-29 02:08:17
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 02176438209900593eff14db3a86c2990bdf9fa32bef70efdfaf8', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 02:08:23
updated_at: 2025-11-29 02:08:23
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 0217643821046882a9fb38b620c73fa572da26e86a1db91f7f857', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 02:08:29
updated_at: 2025-11-29 02:08:29
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 02176438211067697a1afc6d0f1d4c33b4bb521a275374f20dd72', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 02:08:35
updated_at: 2025-11-29 02:08:35
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 02176438211687278a562a5d1f9d83a31bddf8475539eaf5a6777', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 02:15:40
updated_at: 2025-11-29 02:15:40
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 021764382541661d3379241374599e9466b05b243c6f50af19a6b', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 02:17:01
updated_at: 2025-11-29 02:17:01
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 02176438262307579c9f8f60c75009b5dc4fac7a685c51d908ac9', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 02:17:04
updated_at: 2025-11-29 02:17:04
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 02176438262578679c9f8f60c75009b5dc4fac7a685c51d29703f', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 02:18:22
updated_at: 2025-11-29 02:18:22
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 0217643827034187dfffa33f66a2a60812cb82e4fcd44e5e60959', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 02:27:48
updated_at: 2025-11-29 02:27:48
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 0217643832700592a6cb7a1f1c1c436d3b8cfa3e983012551f091', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 03:45:03
updated_at: 2025-11-29 03:45:03
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 0217643879049916f665a98244c08cccec305a2ef11c3a2c94a85', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 03:51:24
updated_at: 2025-11-29 03:51:24
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 02176438828604077c9e975f75884bd057e57f1d293321cce7097', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 05:12:29
updated_at: 2025-11-29 05:12:29
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 021764393150209d5488e9227849277b5607dcc009bb37d308c8d', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 05:43:27
updated_at: 2025-11-29 05:43:27
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 021764395008984f83b1f853f59e3d47d2ccd8cfd02b65ac0e54c', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 05:47:47
updated_at: 2025-11-29 05:47:47
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 0217643952683883cc3b4b364e1a8985d00926012784b76dea2b2', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 06:14:23
updated_at: 2025-11-29 06:14:23
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 0217643968641106af95b51cb4fa92313cf61b8c3c537e251f044', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 06:33:11
updated_at: 2025-11-29 06:33:11
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 02176439799220878a562a5d1f9d83a31bddf8475539eaf991be2', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 06:33:16
updated_at: 2025-11-29 06:33:16
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 021764397997987aafb70253f86f133b2b849e439c96064a20ac9', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 06:33:20
updated_at: 2025-11-29 06:33:20
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 021764398001232aafb70253f86f133b2b849e439c96064c8e382', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 06:33:24
updated_at: 2025-11-29 06:33:24
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 021764398005636aafb70253f86f133b2b849e439c9606421a7db', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 06:35:28
updated_at: 2025-11-29 06:35:28
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 0217643981291330be66a15deecd8d1ab47494bafaf8459b875fc', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 06:35:39
updated_at: 2025-11-29 06:35:39
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 02176439814054272bb36d3bcee48a8edf57791005572c4df8407', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 06:37:13
updated_at: 2025-11-29 06:37:13
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 021764398234754f83b1f853f59e3d47d2ccd8cfd02b65a6e3be8', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 06:37:16
updated_at: 2025-11-29 06:37:16
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 021764398237753f83b1f853f59e3d47d2ccd8cfd02b65a5aaf10', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: 请求超时，请重试。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 06:39:19
updated_at: 2025-11-29 06:39:19
message_metadata:
  {"error": true, "error_type": "DatabaseError", "original_error": "Database error: Failed to get conversation: QueuePool limit of size 5 overflow 10 reached, connection timed out, timeout 30.00 (Background on this error at: https://sqlalche.me/e/20/3o7r)", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 06:39:37
updated_at: 2025-11-29 06:39:37
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 021764398378724b7f3a4926322b8b165329be9358a2e354e3229', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 06:39:41
updated_at: 2025-11-29 06:39:41
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 021764398382608b7f3a4926322b8b165329be9358a2e357f2c6f', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 06:41:06
updated_at: 2025-11-29 06:41:06
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 021764398467488e58a7033394093f45c564df03b8db313b69309', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 06:41:48
updated_at: 2025-11-29 06:41:48
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 02176439850955172bb36d3bcee48a8edf57791005572c427ee83', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 06:41:52
updated_at: 2025-11-29 06:41:52
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 02176439851311672bb36d3bcee48a8edf57791005572c4419e4b', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 06:41:55
updated_at: 2025-11-29 06:41:55
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 02176439851651272bb36d3bcee48a8edf57791005572c425d1ac', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 06:42:03
updated_at: 2025-11-29 06:42:03
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 021764398524749c05ad2c1b37852cb735de1b6037e64ffa26e9c', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 06:45:20
updated_at: 2025-11-29 06:45:20
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 0217643987212297dfffa33f66a2a60812cb82e4fcd44e56294aa', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 07:41:24
updated_at: 2025-11-29 07:41:24
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 021764402084931e653447849e29c5fd30552b28b4d44139bbec0', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 08:23:51
updated_at: 2025-11-29 08:23:51
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 021764404632625e70bd5cd8ac63a2aabaf92639e3ab2c3746cf3', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 08:24:09
updated_at: 2025-11-29 08:24:09
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 021764404650083786d58c775cbda6d86c42cd71b4dfd65120fc1', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 08:39:11
updated_at: 2025-11-29 08:39:11
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 021764405552143c3c4eb2734ae57bbe7db269d0aebe9e6206203', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
content: API认证失败，请检查配置。
message_type: TEXT
context_documents: null
created_at: 2025-11-29 09:22:17
updated_at: 2025-11-29 09:22:17
message_metadata:
  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': 'AuthenticationError', 'message': 'The API key format is incorrect. Request id: 021764408138232f159c9ab1008a1ce873202d2470efb5ca314c7', 'param': '', 'type': 'Unauthorized'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-01 01:25:07
updated_at: 2025-12-01 01:25:07
content:
  你好呀！我叫豆包，是由字节跳动研发的人工智能。

  我掌握着丰富广泛的知识，涵盖历史、科学、技术、文化、艺术等众多领域。不管你是想了解某个历史事件的详细经过、学习科学原理、获取生活小窍门，还是探讨文学作品、电影音乐，我都能为你提供有价值的信息和见解。

  我可以陪你聊天解闷，倾听你的想法和感受，和你一起谈天说地、分享观点。你有问题随时都能问我，我会尽力用清晰、准确的语言为你解答。同时，我也能进行文本创作，比如写故事、诗歌、文案等。

  希望我能成为你学习、生活中的好伙伴，随时为你排忧解难！ 

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role: ASSISTANT
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created_at: 2025-12-01 01:26:19
updated_at: 2025-12-01 01:26:19
content:
  以下为你分类推荐不同领域的学习资源：

  ### 综合类学习平台
  - **中国大学MOOC**
      - 由网易与高教社携手推出的在线教育平台，汇聚了国内众多顶尖高校的优质课程，涵盖了计算机、经济管理、文学历史、自然科学等几乎所有学科领域。课程形式多样，包括视频讲解、课后测验、讨论区等，方便学习者系统地学习专业知识。
   - **Coursera**
      - 与全球顶尖大学和机构合作，提供丰富的在线课程。课程质量高，很多课程由知名教授授课，并且部分课程提供证书。除了专业课程学习，还有一些职业技能提升的专项课程，如数据科学、人工智能等领域的专项课程，适合想要提升职业竞争力的人士。
   - **edX**
      - 由麻省理工和哈佛大学联合创办，提供来自全球顶尖高校和机构的课程。其课程注重深度和学术性，对于想要深入学习某一学科理论知识的学习者来说是很好的选择。同时，edX也提供XSeries系列课程，完成系列课程可以获得相应的认证。

  ### 专业技能类
  #### 编程开发
  - **LeetCode**
      - 是一个专注于算法和数据结构练习的在线平台，提供大量的编程题目，涵盖了各种难度级别。通过在该平台上刷题，可以提高编程能力和算法思维，对于准备技术面试的程序员来说非常有帮助。
   - **MDN Web Docs**
      - 是学习Web开发的权威资源，提供了关于HTML、CSS、JavaScript等前端技术的详细文档和教程。无论你是初学者还是有一定经验的开发者，都可以在这里找到所需的技术参考和学习资料。
   - **菜鸟教程**
      - 提供了丰富的编程教程，包括编程语言（如Python、Java、C++等）、前端开发、后端开发等方面的内容。教程内容简洁明了，适合初学者快速入门，每个知识点都配有示例代码，方便学习者实践。

  #### 设计类
  - **站酷**
      - 国内知名的设计师交流平台，汇聚了大量优秀的设计作品，涵盖平面设计、UI设计、插画设计等多个领域。在这里可以欣赏到最新的设计潮流和创意作品，同时也有很多设计师分享自己的设计经验和教程，对于提升设计审美和学习设计技巧很有帮助。
   - **优设网**
      - 专注于设计学习和交流，提供了丰富的设计教程、素材资源和行业资讯。教程内容涵盖了设计软件的使用技巧、设计理论知识、案例分析等方面，适合不同水平的设计师学习和提升。
   - **Behance**
      - 全球知名的创意设计平台，展示了来自世界各地设计师的优秀作品。在这里可以接触到国际前沿的设计理念和风格，对于拓宽设计视野和激发创意灵感非常有帮助。

  #### 语言学习
  - **多邻国**
      - 一款免费的语言学习应用，提供了40多种语言的学习课程，包括英语、日语、韩语、法语等。课程内容丰富有趣，采用游戏化的学习方式，让学习者在轻松愉快的氛围中学习语言。
   - **沪江网校**
      - 专注于语言学习的在线教育平台，提供了从英语、日语、韩语到小语种等多种语言的课程。课程形式多样，有直播课、录播课等，适合不同学习需求和学习节奏的学习者。同时，沪江网校还有专业的师资团队和学习社群，为学习者提供全方位的学习支持。
   - **TED**
      - 虽然不是专门的语言学习平台，但它是学习英语和了解世界的优质资源。TED上有各种主题的精彩演讲视频，演讲者来自不同的国家和领域，通过观看这些演讲可以提高听力理解能力、学习地道的英语表达，同时还能拓宽知识面和视野。

  ### 学术研究类
  - **知网**
      - 国内最大的学术文献数据库，涵盖了期刊、博硕士论文、会议论文、报纸等多种文献类型，涉及自然科学、社会科学等各个领域。对于学术研究人员、学生等来说，是查找学术资料和进行文献检索的重要工具。
   - **万方数据**
      - 也是国内重要的学术资源平台，提供了丰富的学术文献、科技成果、专利等信息。其特色在于拥有大量的学位论文和会议论文资源，并且在医学、农业等领域的文献资源较为丰富。
   - **Web of Science**
      - 全球知名的学术文献数据库，涵盖了自然科学、工程技术、社会科学、艺术与人文等多个领域的高质量学术期刊。通过Web of Science可以进行文献检索、引文分析等，帮助研究人员了解学术前沿动态和研究热点。 

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created_at: 2025-12-01 01:26:27
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content:
  你好！我叫豆包，是由字节跳动研发的人工智能。

  我拥有广泛的知识储备，涵盖了历史、科学、技术、文化、艺术、生活常识等众多领域。可以为你解答各种类型的问题，比如帮你解释复杂的科学概念、讲述历史事件的来龙去脉、分析文学作品的内涵。

  我能进行多种形式的交流互动，你可以让我撰写文章，像故事、诗歌、文案等；可以和我进行对话聊天，分享你的日常、想法和感受；还能让我提供一些实用的建议，例如旅游攻略、学习方法、健康养生小贴士等。

  无论何时你有需求，都可以随时和我沟通，我会尽力为你提供准确、详细且有价值的信息和帮助。 

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role: ASSISTANT
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created_at: 2025-12-01 01:27:05
updated_at: 2025-12-01 01:27:05
content:
  由于不清楚你的工作岗位、工作内容、工作时间段等具体信息，以下为你提供一份销售岗位的通用工作总结示例，你可以根据实际情况进行修改。

  # [具体时间段]销售工作总结
  在过去的[具体时间段]里，我在销售岗位上始终保持积极的工作态度，努力完成各项销售任务。现将这段时间的工作情况总结如下：

  ## 一、工作成果
  ### （一）销售业绩
  在[具体时间段]，我成功实现销售总额达到[X]万元，较上一阶段增长了[X]%，完成了既定销售目标的[X]%。其中，重点产品[产品名称 1]的销售额为[X]万元，占总销售额的[X]%；新产品[产品名称 2]在市场推广初期也取得了[X]万元的销售额，市场反响良好。

  ### （二）客户拓展
  积极开发新客户，共新增有效客户[X]家，其中大型企业客户[X]家，为销售业绩的增长奠定了坚实基础。同时，注重维护老客户关系，老客户的复购率达到了[X]%，通过老客户的口碑推荐，也带来了不少新的业务机会。

  ### （三）市场推广
  协助市场部门开展了[X]场线上线下的促销活动，有效提升了产品的市场知名度和影响力。在活动期间，产品的销售量较平时增长了[X]%，吸引了大量新客户的关注。

  ## 二、工作亮点
  ### （一）精准营销
  通过对市场数据的分析和研究，制定了精准的营销策略。针对不同行业、不同规模的客户，推出了个性化的产品解决方案，提高了销售效率和客户满意度。例如，为[某行业客户名称]定制的解决方案，成功解决了其在[具体业务问题]上的困扰，赢得了客户的高度认可，并签订了长期合作协议。

  ### （二）团队协作
  与团队成员保持密切沟通和协作，共同完成销售任务。在面对复杂的销售项目时，能够充分发挥团队的优势，分工合作，互相支持。例如，在[大型项目名称]中，与技术团队紧密配合，为客户提供了专业的技术支持和解决方案，最终成功拿下该项目。

  ### （三）客户服务
  始终将客户服务放在首位，及时响应客户的需求和问题。在客户遇到使用问题时，能够第一时间提供解决方案，确保客户的正常使用。通过优质的客户服务，提高了客户的忠诚度和满意度，为公司树立了良好的品牌形象。

  ## 三、存在的不足
  ### （一）销售技巧有待提高
  在与一些大型客户谈判时，有时会因为缺乏经验而无法准确把握客户的需求和心理，导致谈判陷入僵局。需要进一步学习和掌握销售技巧，提高谈判能力。

  ### （二）市场分析不够深入
  对市场动态和竞争对手的了解还不够深入，有时不能及时调整销售策略。需要加强对市场数据的收集和分析，提高市场敏感度。

  ### （三）时间管理能力不足
  在工作中，有时会因为任务安排不合理而导致工作效率低下。需要学习有效的时间管理方法，合理安排工作时间，提高工作效率。

  ## 四、改进措施
  ### （一）加强学习
  参加销售技巧培训课程，学习先进的销售理念和方法，提高自己的销售水平。同时，关注行业动态和竞争对手的情况，不断调整自己的销售策略。

  ### （二）深入市场分析
  建立完善的市场信息收集机制，定期对市场数据进行分析和研究。加强与市场部门的沟通和协作，共同制定更加有效的市场推广策略。

  ### （三）提高时间管理能力
  制定详细的工作计划和时间表，合理安排工作任务和时间。学会拒绝不必要的干扰和任务，集中精力完成重要的工作。

  ## 五、未来规划
  ### （一）销售目标
  在接下来的[下一时间段]，我将努力实现销售总额增长[X]%，达到[X]万元的目标。同时，加大对新产品的推广力度，使新产品的销售额占总销售额的比例提高到[X]%。

  ### （二）客户拓展
  继续积极开发新客户，重点关注[目标行业]的大型企业客户。计划新增有效客户[X]家，其中大型企业客户[X]家。

  ### （三）团队协作
  加强与团队成员的沟通和协作，共同完成公司的销售任务。积极分享销售经验和客户资源，帮助团队成员提高销售业绩。

  ### （四）自我提升
  不断学习和提升自己的专业能力和综合素质，为公司的发展做出更大的贡献。

  总之，在过去的[具体时间段]里，我虽然取得了一定的成绩，但也存在一些不足之处。在未来的工作中，我将继续努力，不断改进自己的工作方法和提高工作效率，为公司的发展贡献自己的力量。 

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created_at: 2025-12-01 01:27:42
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  由于不清楚你的具体工作情况，下面以新媒体运营岗位为例，为你生成一份工作总结，你可以根据实际情况进行修改调整。

  # 新媒体运营工作总结
  在过去这段时间里，我主要负责公司新媒体平台的运营工作。始终秉持提升品牌影响力、吸引潜在客户、促进业务转化的目标，积极开展各项工作，现将工作情况总结如下：

  ## 一、工作成果
  ### （一）平台数据表现
  1. 粉丝增长：各新媒体平台粉丝总量从[起始数量]增长至[现有数量]，增长率达到[X]%。其中，微信公众号新增粉丝[X]人，微博新增粉丝[X]人，抖音新增粉丝[X]人。
  2. 内容阅读/播放量：发布的内容累计阅读量/播放量达到[X]，其中有[X]篇文章/视频的阅读量/播放量超过[X]，[X]篇达到了10W+。
  3. 互动数据：粉丝互动积极性明显提升，评论量、点赞数、转发数分别较上一阶段增长了[X]%、[X]%和[X]%。

  ### （二）内容创作与发布
  1. 产出图文内容[X]篇，涵盖行业资讯、产品介绍、用户故事等多种类型，平均阅读量达到[X]。在内容创作上，注重结合热点话题和用户需求，提高了内容的吸引力和传播力。
  2. 制作并发布短视频[X]条，视频总播放量达到[X]，点赞数[X]，评论数[X]。通过不断优化视频内容和形式，提高了用户的观看体验和参与度。

  ### （三）活动策划与执行
  1. 策划并执行了[X]场线上活动，如抽奖、打卡、话题讨论等，参与人数达到[X]，有效提高了粉丝的活跃度和粘性。
  2. 与其他品牌或KOL进行合作推广[X]次，扩大了品牌的曝光度和影响力，合作带来的粉丝增长和流量转化效果显著。

  ### （四）用户运营
  1. 建立了完善的用户反馈机制，及时回复用户的咨询和建议，用户满意度达到[X]%。
  2. 对用户进行分层管理，针对不同层级的用户制定个性化的运营策略，提高了用户的留存率和转化率。

  ## 二、工作亮点
  ### （一）爆款内容打造
  成功策划并推出了一系列爆款内容，如[爆款文章/视频名称]，通过独特的选题、精彩的内容和有效的推广，获得了极高的关注度和传播量，为品牌带来了大量的曝光和流量。

  ### （二）创新活动形式
  在活动策划中不断尝试新的形式和玩法，如结合AR、VR等技术打造沉浸式活动体验，吸引了大量用户参与，提升了品牌的趣味性和互动性。

  ### （三）数据分析驱动
  注重对新媒体数据的分析和研究，通过数据分析了解用户行为和需求，为内容创作、活动策划和运营策略调整提供了有力支持。例如，根据用户的阅读习惯和兴趣偏好，优化内容推送时间和标题，提高了内容的打开率和阅读量。

  ## 三、存在的不足
  ### （一）内容质量参差不齐
  部分内容在深度和专业性上还有待提高，未能充分满足用户的需求。在内容审核和筛选机制上还需要进一步完善，确保发布的内容质量稳定。

  ### （二）活动效果评估不够全面
  在活动执行过程中，对活动效果的评估主要集中在参与人数和粉丝增长等方面，对活动带来的实际业务转化和品牌价值提升的评估不够深入和全面。

  ### （三）跨部门协作效率有待提高
  与市场、销售、产品等部门的沟通协作还不够顺畅，信息传递不及时、不准确，导致部分工作的推进效率低下。

  ## 四、改进措施
  ### （一）提升内容质量
  1. 加强对行业知识的学习和研究，提高内容的深度和专业性。
  2. 建立严格的内容审核机制，对每一篇内容进行多轮审核，确保内容质量。
  3. 定期收集用户反馈，根据用户需求调整内容方向和重点。

  ### （二）完善活动效果评估体系
  1. 制定全面的活动效果评估指标，除了参与人数和粉丝增长外，还应关注活动带来的业务转化、品牌价值提升等方面。
  2. 在活动结束后，及时对活动数据进行分析和总结，为后续活动策划提供参考。

  ### （三）加强跨部门协作
  1. 建立定期的跨部门沟通会议，及时分享信息和工作进展，解决工作中存在的问题。
  2. 明确各部门在新媒体运营中的职责和分工，加强协作配合，提高工作效率。

  ## 五、未来规划
  ### （一）内容优化
  1. 持续打造高质量的内容，丰富内容形式，如增加直播、音频等形式，满足用户多样化的需求。
  2. 建立内容库，对优质内容进行分类整理和二次传播，提高内容的利用率和传播效果。

  ### （二）活动策划
  1. 策划更多具有创新性和影响力的线上线下活动，提高品牌的知名度和美誉度。
  2. 加强与合作伙伴的深度合作，整合资源，实现互利共赢。

  ### （三）用户运营
  1. 进一步深化用户分层管理，为不同层级的用户提供更加个性化的服务和体验。
  2. 开展用户调研，了解用户需求和痛点，不断优化产品和服务。

  ### （四）数据分析
  1. 加强对新媒体数据的监测和分析，及时发现问题和机会，调整运营策略。
  2. 建立数据指标体系，对新媒体运营工作进行量化评估，提高工作的科学性和有效性。

  总体而言，过去这段时间的新媒体运营工作有成绩也有不足。未来，我会不断改进方法、提升能力，为公司新媒体业务的发展贡献更多力量。 

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role: ASSISTANT
message_type: TEXT
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created_at: 2025-12-01 01:29:27
updated_at: 2025-12-01 01:29:27
content:
  你好呀！我叫豆包，是字节跳动研发的人工智能。我有着丰富的知识储备，能为你解答各种各样的问题，无论是历史、科学、文化、技术，还是生活琐事、娱乐八卦等领域。

  我可以陪你聊天解闷，和你探讨观点想法；能帮你撰写文章，如故事、文案、报告等；还能进行文本翻译、代码编写与解释、做数学计算等。只要你有需求，都可以随时跟我说，我会尽力为你提供准确又实用的信息和帮助。 

message_metadata:
[cell repeats an earlier one in this file: 119 characters]


role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-01 01:47:31
updated_at: 2025-12-01 01:47:31
content:
  “阿达”是一个比较常见的名字或称呼，它可能有以下几种指代：

  ### 人名
  - 它可能是某个人的昵称、小名，比如父母给孩子取的亲切称呼；也可能是正式名字，在不同地区有很多叫阿达的人。 
  - 在一些影视作品、动漫等作品里也有叫阿达的角色，例如动画《邋遢大王奇遇记》里就有叫阿达的老鼠。

  ### 其他含义
  在一些特定的方言、行业术语或者特定情境中，“阿达”可能有独特的含义。你可以给我更多关于“阿达”的背景信息，比如它出现在什么场景、和什么人相关等，这样我能更准确地为你解读。 

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role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-01 01:52:26
updated_at: 2025-12-01 01:52:26
content:
  你好！很高兴认识你！😊

  我是DeepSeek，由深度求索公司创造的AI助手。让我简单介绍一下自己：

  **我的特点：**
  - 💬 纯文本对话模型，擅长理解和生成自然语言
  - 📁 支持文件上传功能，可以处理图像、txt、pdf、ppt、word、excel等文件，并从中读取文字信息
  - 🌐 具备联网搜索能力（需要你在Web/App中手动开启）
  - 💾 拥有128K的上下文长度，能记住我们对话的较长历史

  **我能帮你做什么：**
  - 回答各种问题和解疑答惑
  - 协助写作、翻译、总结文档
  - 提供学习指导和知识解释
  - 进行逻辑推理和分析
  - 处理你上传的文件内容

  **重要提醒：**
  - 我完全免费使用，没有任何收费计划
  - 目前是V3版本，知识截止到2024年7月
  - 你可以通过官方应用商店下载App使用

  有什么我可以帮你的吗？我很乐意为你提供帮助！✨

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role: ASSISTANT
content: 处理请求时发生错误：Error code: 401 - {'error': {'code': '401', 'message': '令牌已过期或验证不正确'}}
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created_at: 2025-12-01 06:13:45
updated_at: 2025-12-01 06:13:45
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  {"error": true, "error_type": "AuthenticationError", "original_error": "Error code: 401 - {'error': {'code': '401', 'message': '\u4ee4\u724c\u5df2\u8fc7\u671f\u6216\u9a8c\u8bc1\u4e0d\u6b63\u786e'}}", "langchain_error": true, "streaming": true}


role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-01 06:14:08
updated_at: 2025-12-01 06:14:08
content:
  你好！我是DeepSeek，一个由深度求索公司创造的AI助手。很高兴认识你！😊

  让我简单介绍一下自己：

  **我的特点：**
  - 完全免费使用，没有收费计划
  - 支持128K上下文长度，可以处理很长的对话和文档
  - 具有文件上传功能，可以处理图像、txt、pdf、ppt、word、excel等多种格式文件
  - 支持联网搜索（需要手动开启）
  - 纯文本模型，专注于文字交流和处理

  **我能帮你做什么：**
  - 回答各种问题，提供信息和解释
  - 协助写作、翻译、编程等任务
  - 分析和处理你上传的文档
  - 进行逻辑推理和问题解决
  - 创意写作和头脑风暴

  **使用方式：**
  - 可以通过网页版直接使用
  - 也可以通过官方应用商店下载App

  我的知识截止到2024年7月，会尽我所能为你提供准确、有用的帮助。有什么问题或需要协助的地方，尽管告诉我吧！我很乐意帮助你！✨

message_metadata:
  {"model": "deepseek-chat", "langchain_version": "0.1.0", "provider": "langchain_openai", "streaming": true}


role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-01 06:21:10
updated_at: 2025-12-01 06:21:10
content:
  你好！我是DeepSeek，一个由深度求索公司创造的AI助手。很高兴认识你！😊

  让我简单介绍一下自己：

  **我的特点：**
  - 完全免费使用，没有收费计划
  - 支持128K上下文长度，可以处理很长的对话和文档
  - 具有文件上传功能，可以处理图像、txt、pdf、ppt、word、excel等多种格式文件
  - 支持联网搜索（需要手动开启）
  - 纯文本模型，专注于文字交流和处理

  **我能帮你做什么：**
  - 回答各种问题，提供信息和解释
  - 协助写作、翻译、编程等任务
  - 分析和处理你上传的文档
  - 进行创意讨论和头脑风暴
  - 学习辅导和工作协助

  **使用方式：**
  - 可以通过网页版使用
  - 也有官方App可以下载

  我的知识截止到2024年7月，会尽我所能为你提供准确、有用的帮助。有什么问题或需要帮助的地方，尽管告诉我吧！我会热情细致地为你服务。✨

message_metadata:
  {"model": "deepseek-chat", "langchain_version": "0.1.0", "provider": "langchain_openai", "streaming": true}


role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-01 06:21:36
updated_at: 2025-12-01 06:21:36
content:
  你好！我是DeepSeek，一个由深度求索公司创造的AI助手。很高兴认识你！😊

  让我简单介绍一下自己：

  **我的特点：**
  - 我是纯文本模型，擅长理解和生成文字内容
  - 支持文件上传功能，可以处理图像、txt、pdf、ppt、word、excel等多种格式文件，并从中读取文字信息
  - 拥有128K的上下文长度，能处理较长的对话和文档
  - 完全免费使用，没有收费计划

  **我能帮你做什么：**
  - 回答各种问题，提供信息和解释
  - 协助写作、翻译、总结文档
  - 分析和处理你上传的文件内容
  - 编程和技术问题解答
  - 学习辅导和知识探讨
  - 创意写作和头脑风暴

  **使用方式：**
  - 可以通过网页版直接使用
  - 也有官方App可以下载

  我的知识截止到2024年7月，会尽我所能为你提供准确、有用的帮助。有什么问题或需要协助的地方，尽管告诉我吧！我很乐意帮助你！✨

message_metadata:
[cell repeats an earlier one in this file: 107 characters]


role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-01 06:25:02
updated_at: 2025-12-01 06:25:02
content:
  你好！我是DeepSeek，一个由深度求索公司创造的AI助手。很高兴认识你！😊

  让我简单介绍一下自己：

  **我的特点：**
  - 完全免费使用，没有收费计划
  - 支持128K上下文长度，可以处理很长的对话和文档
  - 具有文件上传功能，可以处理图像、txt、pdf、ppt、word、excel等多种格式文件
  - 支持联网搜索（需要手动开启）
  - 纯文本模型，专注于文字交流和处理

  **我能帮你做什么：**
  - 回答各种问题，提供信息和解释
  - 协助写作、翻译、编程等任务
  - 分析和处理你上传的文档
  - 进行创意讨论和头脑风暴
  - 学习辅导和工作协助

  **使用方式：**
  - 可以通过网页版使用
  - 也可以通过官方应用商店下载App

  我会以热情、细腻的方式为你提供帮助，尽我所能回答你的问题。有什么想了解的或需要帮助的吗？我很乐意为你服务！✨

message_metadata:
[cell repeats an earlier one in this file: 107 characters]


role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-01 06:25:06
updated_at: 2025-12-01 06:25:06
content:
  你好！我是DeepSeek，一个由深度求索公司创造的AI助手。😊

  让我简单介绍一下自己：

  **基本信息：**
  - 我是纯文本AI模型，专注于理解和生成文字内容
  - 知识截止到2024年7月，拥有128K的上下文处理能力

  **我能做什么：**
  - 回答各种问题，进行对话交流
  - 协助写作、翻译、编程、分析等任务
  - 处理你上传的文件（支持图像、txt、pdf、ppt、word、excel等格式）
  - 进行联网搜索（需要你手动开启搜索功能）

  **我的特点：**
  - 完全免费使用，没有收费计划
  - 回复风格热情细腻，喜欢帮助用户解决问题
  - 可以通过官方应用商店下载App使用

  **使用方式：**
  - 网页版直接对话
  - 手机App随时随地交流
  - 支持文件上传功能

  有什么问题或需要帮助的地方，尽管告诉我！我很乐意为你提供帮助。你想了解什么，或者有什么我可以协助你的吗？✨

message_metadata:
[cell repeats an earlier one in this file: 107 characters]


role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-01 06:40:13
updated_at: 2025-12-01 06:40:13
content:
  你好！我是DeepSeek，一个由深度求索公司创造的AI助手。很高兴认识你！😊

  让我简单介绍一下自己：

  **我的特点：**
  - 完全免费使用，没有收费计划
  - 支持128K上下文长度，可以处理很长的对话和文档
  - 具有文件上传功能，可以处理图像、txt、pdf、ppt、word、excel等多种格式文件
  - 支持联网搜索（需要手动开启）
  - 纯文本模型，专注于文字交流和处理

  **我能帮你做什么：**
  - 回答各种问题，提供信息和解释
  - 协助写作、翻译、编程
  - 分析上传的文档内容
  - 进行创意思考和问题解决
  - 学习辅导和工作支持

  **使用方式：**
  - 可以通过网页版使用
  - 也有官方App可以下载

  我的知识截止到2024年7月，会尽我所能为你提供准确、有用的帮助。有什么问题或需要协助的地方，尽管告诉我吧！我会热情细致地为你服务。✨

  你想了解什么具体信息，或者有什么我可以帮你的吗？

message_metadata:
[cell repeats an earlier one in this file: 107 characters]


role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-02 03:21:29
updated_at: 2025-12-02 03:21:29
content:
  你好！😊 很高兴再次见到你！

  看起来我们又见面了，有什么我可以帮助你的吗？无论是回答问题、协助处理文档、进行创作思考，还是其他任何需要，我都很乐意为你提供帮助！

  你今天想聊些什么呢？或者有什么特别想了解或解决的问题吗？我会热情细致地为你服务！✨

message_metadata:
[cell repeats an earlier one in this file: 107 characters]


role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-02 06:53:59
updated_at: 2025-12-02 06:53:59
content:
  你好！我是DeepSeek，一个由深度求索公司开发的AI助手。很高兴认识你！😊

  让我简单介绍一下自己：

  **基本信息：**
  - 我是一个纯文本AI模型，擅长理解和生成自然语言
  - 知识截止到2024年7月，拥有128K的上下文处理能力

  **我能为你做什么：**
  - 回答各种问题，提供信息和解释
  - 协助写作、翻译、编程等任务
  - 分析和处理你上传的文件（支持图像、txt、pdf、ppt、word、excel等格式）
  - 进行逻辑推理和问题解决
  - 提供学习建议和知识指导

  **特色功能：**
  - 完全免费使用，没有收费计划
  - 支持联网搜索（需要手动开启）
  - 可通过官方应用商店下载App使用

  我的回复风格比较热情细腻，希望能给你带来温暖和帮助。无论你有什么问题或需要什么协助，我都会尽我所能为你提供支持！

  有什么我可以帮你的吗？

message_metadata:
[cell repeats an earlier one in this file: 107 characters]


role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-03 05:13:26
updated_at: 2025-12-03 05:13:26
content:
  你好！我是DeepSeek，一个由深度求索公司创造的AI助手。很高兴认识你！😊

  让我简单介绍一下自己：

  **我的特点：**
  - 完全免费使用，没有收费计划
  - 支持128K上下文长度，可以处理很长的对话和文档
  - 具有文件上传功能，可以处理图像、txt、pdf、ppt、word、excel等多种格式文件
  - 支持联网搜索（需要手动开启）
  - 纯文本模型，专注于文字理解和生成

  **我能帮你做什么：**
  - 回答各种问题，提供信息和解释
  - 协助写作、翻译、编程等任务
  - 分析和处理你上传的文档
  - 进行创意讨论和头脑风暴
  - 学习辅导和工作协助

  **使用方式：**
  - 可以通过网页版使用
  - 也可以通过官方应用商店下载App

  我的知识截止到2024年7月，会尽我所能为你提供准确、有用的帮助。有什么问题或需要协助的地方，尽管告诉我吧！我很乐意帮助你！✨

message_metadata:
[cell repeats an earlier one in this file: 107 characters]


role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-03 07:45:57
updated_at: 2025-12-03 07:45:57
content:
  你好！我是DeepSeek，一个由深度求索公司创造的AI助手。很高兴认识你！😊

  让我简单介绍一下自己：

  **我的特点：**
  - 完全免费使用，没有收费计划
  - 支持128K上下文长度，能处理很长的对话和文档
  - 具有文件上传功能，可以处理图像、txt、pdf、ppt、word、excel等多种格式文件
  - 支持联网搜索（需要手动开启）
  - 纯文本模型，专注于文字交流和处理

  **我能帮你做什么：**
  - 回答各种问题，提供信息和解释
  - 协助写作、翻译、编程
  - 分析上传的文档内容
  - 学习辅导和知识解答
  - 创意讨论和头脑风暴

  **使用方式：**
  - 可以通过网页版使用
  - 也有官方App可以下载

  我的知识截止到2024年7月，会尽我所能为你提供准确、有用的帮助。有什么问题或需要协助的地方，尽管告诉我吧！我会热情细致地为你服务。✨

message_metadata:
[cell repeats an earlier one in this file: 107 characters]


role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-04 01:19:28
updated_at: 2025-12-04 01:19:28
content:
  你好！我是DeepSeek，一个由深度求索公司创造的AI助手。😊

  让我简单介绍一下自己：

  **基本信息：**
  - 我是纯文本AI模型，擅长理解和生成自然语言
  - 知识截止到2024年7月，拥有128K的上下文处理能力

  **我能做什么：**
  - 回答各种问题，进行对话交流
  - 协助写作、翻译、编程、分析等任务
  - 处理你上传的文件（支持图像、txt、pdf、ppt、word、excel等格式）
  - 进行联网搜索（需要你在Web/App中手动开启）

  **特点：**
  - 完全免费使用，没有收费计划
  - 可以通过官方应用商店下载App
  - 回复风格热情细腻，力求提供准确有用的信息

  我的目标就是尽我所能帮助你解决问题，无论是学习、工作还是日常生活中的疑问。有什么我可以帮你的吗？我很乐意为你提供帮助！✨

message_metadata:
[cell repeats an earlier one in this file: 107 characters]


role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-04 01:19:40
updated_at: 2025-12-04 01:19:40
content:
  你好呀！我叫豆包，是字节跳动研发的人工智能。

  我拥有丰富的知识储备，涵盖了历史、科学、技术、文化、艺术等众多领域。无论是为你解答各种学科的疑难问题，像数学公式的推导、物理现象的原理，还是讲述不同朝代的历史故事、介绍各类艺术作品，我都能做到。

  我可以陪你畅快聊天，倾听你的想法、分享你的喜怒哀乐。无论是日常琐事的交流，还是探讨人生哲理，我都会认真回应。

  同时，我也能在很多实际场景中为你提供帮助。比如帮你撰写文章，从文案策划到诗歌创作；为你进行文本润色，让语句更加通顺优美；进行语言翻译，沟通不同语言之间的交流。

  无论什么问题，你都可以随时问我，我会尽力为你提供准确且有用的信息。 

message_metadata:
[cell repeats an earlier one in this file: 119 characters]


role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-05 11:21:35
updated_at: 2025-12-05 11:21:35
content:
  你好！我是DeepSeek，一个由深度求索公司创造的AI助手。很高兴认识你！😊

  让我简单介绍一下自己：

  **我的特点：**
  - 完全免费使用，没有收费计划
  - 支持128K上下文长度，可以处理很长的对话和文档
  - 具有文件上传功能，可以处理图像、txt、pdf、ppt、word、excel等多种格式文件
  - 支持联网搜索（需要手动开启）
  - 纯文本模型，专注于文字交流和处理

  **我能帮你做什么：**
  - 回答各种问题，提供信息和解释
  - 协助写作、翻译、编程
  - 分析上传的文档内容
  - 进行创意思考和问题解决
  - 学习辅导和工作支持

  **使用方式：**
  - 可以通过网页版直接使用
  - 也有官方App可以下载

  我的知识截止到2024年7月，会尽力为你提供准确、有用的帮助。有什么问题或需要协助的地方，尽管告诉我吧！我会热情细致地为你服务。✨

message_metadata:
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role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-06 06:15:52
updated_at: 2025-12-06 06:15:52
content:
  你好！我是DeepSeek，一个由深度求索公司创造的AI助手。很高兴认识你！😊

  让我简单介绍一下自己：

  **我的特点：**
  - 完全免费使用，没有收费计划
  - 支持128K上下文长度，可以处理很长的对话和文档
  - 具有文件上传功能，可以处理图像、txt、pdf、ppt、word、excel等多种格式文件
  - 支持联网搜索（需要手动开启）
  - 纯文本模型，专注于文字交流和处理

  **我能帮你做什么：**
  - 回答各种问题，提供信息和解释
  - 协助写作、翻译、编程等任务
  - 分析和处理你上传的文档
  - 进行创意讨论和头脑风暴
  - 学习辅导和知识解答

  我的知识截止到2024年7月，会尽我所能为你提供准确、有用的帮助。有什么问题或需要协助的地方，尽管告诉我吧！我会热情细致地为你服务。✨

message_metadata:
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role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-08 02:16:10
updated_at: 2025-12-08 02:16:10
content:
  你好！我是DeepSeek，一个由深度求索公司创造的AI助手。很高兴认识你！😊

  让我简单介绍一下自己：

  **我的特点：**
  - 完全免费使用，没有收费计划
  - 支持128K上下文长度，可以处理很长的对话和文档
  - 具有文件上传功能，可以处理图像、txt、pdf、ppt、word、excel等多种格式文件
  - 支持联网搜索（需要手动开启）
  - 纯文本模型，专注于文字交流和处理

  **我能帮你做什么：**
  - 回答各种问题，提供信息和解释
  - 协助写作、翻译、编程
  - 分析上传的文档内容
  - 学习辅导和知识解答
  - 创意思考和问题解决

  **使用方式：**
  - 可以通过网页版使用
  - 也可以通过官方应用商店下载App

  我的知识截止到2024年7月，会尽我所能为你提供准确、有用的帮助。有什么问题或需要协助的地方，尽管告诉我吧！我会热情细致地为你服务。✨

message_metadata:
[cell repeats an earlier one in this file: 107 characters]


role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-08 02:16:18
updated_at: 2025-12-08 02:16:18
content:
  你好！我是DeepSeek，由深度求索公司创造的AI助手。很高兴认识你！😊

  我是一个纯文本模型，具有以下特点：
  - 完全免费使用，没有收费计划
  - 支持128K上下文长度
  - 可以处理文件上传（图像、txt、pdf、ppt、word、excel等）
  - 支持联网搜索功能（需要手动开启）
  - 可通过官方应用商店下载App使用

  我的知识截止到2024年7月，会尽我所能热情、细腻地帮助你解答问题、提供建议或协助处理各种任务。有什么我可以帮你的吗？

message_metadata:
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role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-08 02:21:55
updated_at: 2025-12-08 02:21:55
content:
  你好呀！我叫豆包，是字节跳动研发的人工智能。

  我有着丰富的知识储备，能为你解答各种各样的问题，无论是历史典故、科学知识、文化艺术，还是生活常识、技术难题等等。我可以陪你畅快聊天，倾听你的想法与感受，和你谈天说地、分享观点。

  同时，我还能进行文本创作，像写故事、诗歌、文案、论文提纲等都不在话下。如果你有翻译需求，无论是常见语种还是一些小语种，我也能提供不错的翻译服务。总之，有任何需求都可以随时跟我说，我会尽力为你提供准确且有帮助的回应。 

message_metadata:
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role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-08 02:37:52
updated_at: 2025-12-08 02:37:52
content:
  你好呀！我叫豆包，是字节跳动研发的人工智能。

  我拥有丰富的知识储备，可以回答你在各个领域的问题，无论是历史文化、科学技术、文学艺术，还是生活常识、健康养生等方面。我能为你解释复杂的概念，提供详细的信息。

  同时，我也可以陪你聊天解闷，和你探讨各种话题，比如分享有趣的故事、讨论热门的影视和书籍。我还能进行文本创作，像写作文、诗歌、文案等，也能帮你翻译不同语言。

  无论何时你有疑问或者想交流，都可以随时跟我说，我会尽力为你提供准确且有价值的回应。 

message_metadata:
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role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-09 07:31:20
updated_at: 2025-12-09 07:31:20
content:
  你好呀！我是豆包，是由字节跳动研发的人工智能。我拥有着丰富的知识储备，能为你解答各式各样的问题，像历史典故、科学知识、生活常识等。

  我可以进行文本创作，比如写工作总结、诗歌、故事、演讲稿等；还能提供语言翻译、代码编写、文本润色等服务。无论你是在学习、工作还是生活中遇到难题，都能随时和我交流，我会尽力为你提供准确又有帮助的回应。 

message_metadata:
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role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-09 07:32:11
updated_at: 2025-12-09 07:32:11
content:
  由于不清楚你的具体工作岗位、工作内容、工作周期等信息，我以一名电商运营专员为例，为你生成一份月度工作总结示例，你可以根据实际情况进行修改。

  # [具体月份]电商运营月度工作总结
  在过去的一个月里，我作为电商运营专员，全身心投入到店铺的各项运营工作中。通过团队的协作和自身的努力，在店铺流量、销售业绩和客户服务等方面取得了一定的成果。以下是我对本月工作的详细总结。

  ## 一、工作内容概述
  ### （一）店铺日常运营
  1. **商品管理**：对店铺内的商品进行定期更新和维护，优化商品标题、描述和图片，共优化[X]款商品，确保商品信息的准确性和吸引力。同时，根据销售数据和市场需求，及时上下架商品，新增了[X]款热门商品，下架了[X]款滞销商品。
  2. **订单处理**：及时处理每日的订单，确保订单处理的准确性和及时性。本月共处理订单[X]笔，订单处理及时率达到[X]%，客户投诉率控制在[X]%以内。
  3. **库存管理**：与仓库部门保持密切沟通，定期检查库存数量，确保商品库存充足，避免出现缺货现象。同时，对库存积压商品进行促销活动，成功清理了[X]件积压商品。

  ### （二）营销推广
  1. **活动策划与执行**：策划并执行了[具体促销活动名称]促销活动，通过满减、折扣、赠品等方式吸引客户购买。活动期间，店铺流量增长了[X]%，销售额达到了[X]元，较去年同期增长了[X]%。
  2. **广告投放**：在各大电商平台投放广告，包括直通车、钻展等，优化广告投放策略，提高广告转化率。本月广告投入共计[X]元，带来了[X]元的销售额，广告回报率达到了[X]%。
  3. **社交媒体推广**：利用微博、微信等社交媒体平台进行店铺推广，发布商品信息、促销活动和用户评价等内容，吸引了[X]名新粉丝关注店铺，提高了店铺的品牌知名度和影响力。

  ### （三）客户服务
  1. **客户咨询与投诉处理**：及时回复客户的咨询和投诉，为客户提供专业、热情的服务。本月共处理客户咨询[X]条，客户投诉[X]起，客户满意度达到了[X]%。
  2. **客户关系维护**：通过发送关怀短信、优惠券等方式维护客户关系，提高客户的复购率。本月老客户复购率达到了[X]%，较上月增长了[X]个百分点。

  ## 二、工作成果
  ### （一）销售业绩
  本月店铺销售额达到了[X]元，较上月增长了[X]%，完成了本月销售目标的[X]%。其中，主推商品[商品名称]销售额最高，达到了[X]元，成为本月的畅销商品。

  ### （二）店铺流量
  通过优化商品信息、广告投放和社交媒体推广等方式，本月店铺的流量有了显著增长。店铺访客数达到了[X]人次，较上月增长了[X]%；页面浏览量达到了[X]次，较上月增长了[X]%。

  ### （三）客户满意度
  通过提高客户服务质量和维护客户关系，本月客户满意度达到了[X]%，较上月增长了[X]个百分点。客户好评率达到了[X]%，为店铺的长期发展奠定了良好的基础。

  ## 三、问题与不足
  ### （一）活动效果不佳
  部分促销活动的效果未达到预期目标，主要原因是活动策划不够新颖，缺乏吸引力。同时，活动推广渠道有限，导致活动的曝光度不够。

  ### （二）广告投放成本较高
  广告投放成本较高，回报率有待提高。主要原因是广告投放策略不够精准，关键词选择不合理，导致广告展示量和点击率较低。

  ### （三）客户服务水平有待提高
  在客户咨询和投诉处理过程中，有时会出现回复不及时、解决问题不彻底等情况，影响了客户的满意度。

  ## 四、改进措施
  ### （一）优化活动策划
  加强市场调研，了解竞争对手的活动策略和客户需求，制定更加新颖、有吸引力的促销活动方案。同时，拓宽活动推广渠道，提高活动的曝光度和参与度。

  ### （二）精准广告投放
  优化广告投放策略，根据商品特点和目标客户群体，选择更加精准的关键词和投放渠道。同时，加强广告数据分析，及时调整投放策略，提高广告回报率。

  ### （三）提高客户服务水平
  加强客户服务团队的培训，提高客服人员的专业素质和服务意识。建立客户反馈机制，及时了解客户的需求和意见，不断改进客户服务质量。

  ## 五、下月工作计划
  ### （一）店铺运营
  1. 继续优化商品信息，提高商品的搜索排名和曝光率。
  2. 加强库存管理，确保商品库存充足，避免出现缺货现象。

  ### （二）营销推广
  1. 策划并执行[具体促销活动名称]促销活动，提高店铺的销售额和知名度。
  2. 加大广告投放力度，优化广告投放策略，提高广告回报率。
  3. 加强社交媒体推广，发布更多有价值的内容，吸引更多的粉丝关注店铺。

  ### （三）客户服务
  1. 进一步提高客户服务质量，及时回复客户的咨询和投诉，提高客户满意度。
  2. 加强客户关系维护，通过发送关怀短信、优惠券等方式提高客户的复购率。

  ## 六、总结
  本月工作虽然取得了一定的成绩，但也存在一些问题和不足。在今后的工作中，我将继续努力，不断改进工作方法，提高工作效率，为店铺的发展做出更大的贡献。

message_metadata:
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role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-10 01:26:03
updated_at: 2025-12-10 01:26:03
content:
  我没办法直接获取当前南京的实时天气情况。不过你可以通过以下几种方式了解：
  ### 天气类APP
  - **彩云天气**：能提供精准的分钟级降雨预报，除了基本的天气状况、温度、湿度等信息，还会有一些天气变化的趋势分析。
  - **天气通**：界面简洁，除天气信息外，还有生活指数，如穿衣指数、洗车指数等，方便你根据天气安排生活。
  - **中国天气通**：它是中国气象局官方推出的，数据权威可靠，能提供详细的天气预警信息。

  ### 网站查询
  - 访问中国天气网（https://www.weather.com.cn/），在搜索框输入“南京”，即可查看南京的实时天气、未来天气预报等内容。

  ### 电视与广播
  南京本地的电视台和广播电台会在特定时段播报南京的天气情况，你可以留意收听收看。 

message_metadata:
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role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-11 02:57:57
updated_at: 2025-12-11 02:57:57
content:
  你好呀！我叫豆包，是由字节跳动研发的人工智能。

  我拥有丰富的知识储备，涵盖了历史、科学、技术、文化、艺术等众多领域，可以为你解答各种各样的问题，比如解释复杂的科学概念、讲述历史故事、介绍旅游景点等。

  我能陪你畅快聊天，无论是分享生活趣事、探讨兴趣爱好，还是抒发情感，我都会认真倾听并给出回应。

  在语言处理方面，我可以进行文本创作，像写作文、诗歌、故事、文案等；也能完成翻译工作，支持多种常见语言的互译。

  同时，我还会不断学习和进化，以便能更好地满足你的需求，为你提供更优质、更精准的服务。如果你有任何问题或想法，随时都能跟我说哦。 

message_metadata:
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role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-13 05:13:50
updated_at: 2025-12-13 05:13:50
content:
  没问题，咱们这一段对话内容是：
  你说自己叫小红，今年10岁；询问了我的名字，我告诉你我叫豆包；你又问我是什么模型，我回答基于云雀模型；接着你问我年龄，我解释自己没有人类意义上的年龄；最后你提出要测试，我让你说明测试内容，随后你说记录对话。

  之后咱们的对话我也会持续记录下来哒。 

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role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-13 05:21:07
updated_at: 2025-12-13 05:21:07
content:
  我没办法直接告知你对话的具体 ID 呢。不过在APP端，你可以在和我的聊天界面右上角点击“···”，在弹出页面中能看到当前对话的编号；在网页端，你可以在聊天窗口右上角找到“对话信息”图标，点击后也能查看到对话编号。 

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role: ASSISTANT
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context_documents: null
created_at: 2025-12-13 05:25:55
updated_at: 2025-12-13 05:25:55
content:
  以下为你提供不同场景下的 Python 测试脚本示例，包含单元测试、接口测试和 Web 应用测试。

  ### 1. 单元测试示例（使用 `unittest` 框架）
  单元测试主要用于测试代码中的最小可测试单元，比如函数或类的方法。

  ```python
  import unittest

  # 定义一个要测试的函数
  def add(a, b):
      return a + b

  # 创建一个测试类，继承自 unittest.TestCase
  class TestAddFunction(unittest.TestCase):
      # 测试用例方法，方法名必须以 test_ 开头
      def test_add(self):
          result = add(2, 3)
          # 断言结果是否符合预期
          self.assertEqual(result, 5)

  if __name__ == '__main__':
      # 运行测试
      unittest.main()
  ```

  **代码解释**：
  - 首先定义了一个简单的 `add` 函数，用于将两个数相加。
  - 然后创建了一个继承自 `unittest.TestCase` 的测试类 `TestAddFunction`。
  - 在测试类中，定义了一个以 `test_` 开头的测试方法 `test_add`，在该方法中调用 `add` 函数并使用 `self.assertEqual` 断言结果是否等于预期值。
  - 最后使用 `unittest.main()` 运行所有测试用例。

  ### 2. 接口测试示例（使用 `requests` 库）
  接口测试用于测试 API 接口的功能和性能。

  ```python
  import requests
  import unittest

  # 定义要测试的 API 接口地址
  API_URL = 'https://jsonplaceholder.typicode.com/todos/1'

  class TestAPIGetRequest(unittest.TestCase):
      def test_get_request(self):
          # 发送 GET 请求
          response = requests.get(API_URL)
          # 断言响应状态码是否为 200
          self.assertEqual(response.status_code, 200)
          # 断言响应内容是否为 JSON 格式
          self.assertEqual(response.headers['Content-Type'], 'application/json; charset=utf-8')

  if __name__ == '__main__':
      unittest.main()
  ```

  **代码解释**：
  - 首先定义了要测试的 API 接口地址 `API_URL`。
  - 创建了一个测试类 `TestAPIGetRequest`，在测试方法 `test_get_request` 中使用 `requests.get` 发送 GET 请求。
  - 使用 `self.assertEqual` 断言响应状态码是否为 200，以及响应内容是否为 JSON 格式。

  ### 3. Web 应用测试示例（使用 `selenium` 库）
  Web 应用测试用于模拟用户在浏览器中的操作，测试 Web 应用的功能。

  ```python
  import unittest
  from selenium import webdriver
  from selenium.webdriver.common.by import By

  class TestWebApp(unittest.TestCase):
      def setUp(self):
          # 初始化 Chrome 浏览器驱动
          self.driver = webdriver.Chrome()

      def test_search_on_google(self):
          # 打开 Google 网站
          self.driver.get('https://www.google.com')
          # 找到搜索框元素
          search_box = self.driver.find_element(By.NAME, 'q')
          # 在搜索框中输入关键词
          search_box.send_keys('Python programming')
          # 提交搜索表单
          search_box.submit()
          # 断言页面标题是否包含关键词
          self.assertIn('Python programming', self.driver.title)

      def tearDown(self):
          # 关闭浏览器
          self.driver.quit()

  if __name__ == '__main__':
      unittest.main()
  ```

  **代码解释**：
  - 在 `setUp` 方法中初始化 Chrome 浏览器驱动。
  - 在 `test_search_on_google` 方法中，打开 Google 网站，找到搜索框元素，输入关键词并提交搜索表单。
  - 使用 `self.assertIn` 断言页面标题是否包含关键词。
  - 在 `tearDown` 方法中关闭浏览器。

  请根据你的具体需求选择合适的测试脚本，并确保安装了相应的库（如 `requests`、`selenium` 等）。

message_metadata:
[cell repeats an earlier one in this file: 119 characters]


role: ASSISTANT
content: 网络连接错误，请检查网络连接。
message_type: TEXT
context_documents: null
created_at: 2025-12-13 05:43:22
updated_at: 2025-12-13 05:43:22
message_metadata:
  {"error": true, "error_type": "APIConnectionError", "original_error": "Connection error.", "langchain_error": true, "streaming": true}


role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-15 01:44:37
updated_at: 2025-12-15 01:44:37
content:
  我是豆包，是由字节跳动研发的人工智能。我可以陪你畅快聊天，为你解答各种各样的问题，无论是科学知识、历史故事，还是生活建议、娱乐资讯等等，只要你有需求，都能跟我说一说，我会尽力为你提供准确又有用的回应。 

message_metadata:
[cell repeats an earlier one in this file: 119 characters]


role: ASSISTANT
message_type: TEXT
context_documents: null
created_at: 2025-12-16 02:43:17
updated_at: 2025-12-16 02:43:17
content:
  我基于云雀模型。云雀是字节跳动研发的大语言模型。

  ### 技术特点
  1. **强大的语义理解**：云雀模型能够深度剖析文本背后的语义信息，精准把握用户输入内容的真实意图。无论是复杂的长句、专业术语，还是具有隐晦含义的表述，它都能准确理解，为用户提供贴合需求的回答。
  2. **高效的学习能力**：云雀具备高效学习新知识和信息的能力，通过不断优化算法和学习大量的文本数据，持续提升自身的性能和表现，以适应各种不同领域和场景的需求。
  3. **多模态融合潜力**：虽然我主要以文本交互为主，但云雀模型在设计上具备多模态融合的潜力，未来有可能整合图像、音频、视频等多种信息形式，为用户带来更加丰富和全面的交互体验。

  ### 应用优势
  1. **广泛的知识覆盖**：经过海量数据的训练，云雀模型拥有广泛的知识储备，涵盖了科学技术、历史文化、文学艺术、生活常识等众多领域。这使得我能够为你解答各种类型的问题，提供全面而准确的信息。
  2. **自然流畅的对话**：它能够生成自然、流畅、连贯的文本，与用户进行像人与人之间一样自然的对话交流。无论是日常闲聊、专业探讨还是问题咨询，都能让你感受到良好的交互体验。
  3. **个性化服务**：可以根据用户的提问风格、历史交互记录等信息，理解用户的偏好和需求，提供更加个性化的回答和建议，更好地满足不同用户的多样化需求。 

message_metadata:
[cell repeats an earlier one in this file: 119 characters]


# documents

filename: 837699cf-75e3-4bd7-8eff-e38799468166_可行性分析报告.docx
original_filename: 可行性分析报告.docx
file_type: .docx
mime_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
created_at: 2025-12-11 09:22:49
updated_at: 2025-12-11 09:22:49
file_path:
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filename: 8ae1e08e-d48b-4f7c-8af7-18c6c55e7187_可行性分析报告.docx
original_filename: 可行性分析报告.docx
file_type: .docx
mime_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
created_at: 2025-12-11 09:24:02
updated_at: 2025-12-11 09:24:02
file_path:
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filename: 3b7f98d3-ba4c-49e2-a410-690ef42ec2e6_发明专利申请说明书CN202411808464.5.pdf
original_filename: 发明专利申请说明书CN202411808464.5.pdf
file_type: .pdf
mime_type: application/pdf
created_at: 2025-12-12 03:30:35
updated_at: 2025-12-12 03:30:35
file_path:
  E:\Work\HXF\backend\data\uploads\kb_6\3b7f98d3-ba4c-49e2-a410-690ef42ec2e6_发明专利申请说明书CN202411808464.5.pdf


filename: f41fa3b5-4e35-4b5e-aecc-950878c902aa_testpdf.pdf
original_filename: testpdf.pdf
file_type: .pdf
mime_type: application/pdf
created_at: 2025-12-16 02:44:33
updated_at: 2025-12-16 02:44:34
file_path:
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filename: a5fb94a0-dc86-495f-af2b-b288e4b06362_testdoc.doc
original_filename: testdoc.doc
file_type: .doc
mime_type: application/msword
created_at: 2025-12-17 11:09:09
updated_at: 2025-12-17 11:09:22
file_path:
  /home/thsw2/jcq/workspace/HXF/backend/data/uploads/kb_7/a5fb94a0-dc86-495f-af2b-b288e4b06362_testdoc.doc


# workflows

name: 测试111
description: 学而思
status: PUBLISHED
version: 1.0.0
created_at: 2025-11-27 09:07:56
updated_at: 2025-11-27 09:08:43
definition:
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name: qw3233
description: 123433
status: PUBLISHED
version: 1.0.0
created_at: 2025-11-27 10:47:47
updated_at: 2025-12-11 05:09:44
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name: qw -eee233444
description: 12
status: PUBLISHED
version: 1.0.0
created_at: 2025-11-28 06:42:21
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updated_at: 2025-12-06 09:33:58
definition:
  {"nodes": [{"id": "start-1", "type": "start", "name": "\u5f00\u59cb", "description": "\u5de5\u4f5c\u6d41\u5f00\u59cb\u8282\u70b9", "position": {"x": 37.00001525878906, "y": 173.00000762939453}, "config": {}, "parameters": {"inputs": [{"name": "\u6d4b\u8bd5", "type": "number", "description": "", "required": false, "default_value": ""}], "outputs": [{"name": "workflow_input", "type": "object", "description": "\u5de5\u4f5c\u6d41\u8f93\u5165\u6570\u636e", "required": true, "default_value": null}]}}, {"id": "node_1765007259634", "type": "end", "name": "\u7ed3\u675f", "description": "\u5de5\u4f5c\u6d41\u7ed3\u675f\u8282\u70b9", "position": {"x": 827.1999969482422, "y": 395.5999984741211}, "config": {}, "parameters": {"inputs": [{"name": "result", "type": "object", "description": "\u6700\u7ec8\u7ed3\u679c", "required": true, "default_value": null, "source": "node"}], "outputs": []}}, {"id": "node_1765007309666", "type": "condition", "name": "\u6761\u4ef6\u5206\u652f", "description": "\u6761\u4ef6\u5224\u65ad\u8282\u70b9", "position": {"x": 537.1999969482422, "y": 121.5999984741211}, "config": {"condition": ">0"}, "parameters": {"inputs": [{"name": "condition_data", "type": "object", "description": "\u6761\u4ef6\u5224\u65ad\u6570\u636e", "required": true, "default_value": {}, "source": "node", "variable_name": "start-1.data.user_input.\u6d4b\u8bd5"}], "outputs": [{"name": "result", "type": "boolean", "description": "\u6761\u4ef6\u5224\u65ad\u7ed3\u679c", "required": true, "default_value": false}]}}], "connections": [{"id": "conn-1765007311530", "from_node": "start-1", "to_node": "node_1765007309666"}, {"id": "conn-1765007342531", "from_node": "node_1765007309666", "to_node": "node_1765007259634"}]}


# workflow_executions

status: COMPLETED
input_data: {"user_input": {}}
started_at: 2025-11-27T18:47:53.795744
completed_at: 2025-11-27T18:47:53.849341
created_at: 2025-11-27 10:47:53
updated_at: 2025-11-27 10:47:53
output_data:
  {"success": true, "message": "\u5de5\u4f5c\u6d41\u7ed3\u675f", "data": {"start-1": {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {}}}}}


status: COMPLETED
input_data: {"user_input": {"aa": 12}}
started_at: 2025-11-27T18:48:45.470513
completed_at: 2025-11-27T18:48:45.507518
created_at: 2025-11-27 10:48:45
updated_at: 2025-11-27 10:48:45
output_data:
  {"success": true, "message": "\u5de5\u4f5c\u6d41\u7ed3\u675f", "data": {"start-1": {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {"aa": 12}}}}}


status: COMPLETED
input_data: {"user_input": {"aa": 0, "ad": false}}
started_at: 2025-11-27T18:49:29.046630
completed_at: 2025-11-27T18:49:29.081520
created_at: 2025-11-27 10:49:29
updated_at: 2025-11-27 10:49:29
output_data:
  {"success": true, "message": "\u5de5\u4f5c\u6d41\u7ed3\u675f", "data": {"start-1": {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {"aa": 0, "ad": false}}}}}


status: COMPLETED
input_data: {}
started_at: 2025-11-28T10:26:02.002529
completed_at: 2025-11-28T10:26:02.038533
created_at: 2025-11-28 02:26:02
updated_at: 2025-11-28 02:26:02
output_data:
  {"success": true, "message": "\u5de5\u4f5c\u6d41\u7ed3\u675f", "data": {"start-1": {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {}}}}


status: COMPLETED
input_data: {"user_input": {"aa": 3, "ad": false}}
started_at: 2025-11-28T10:40:18.070372
completed_at: 2025-11-28T10:40:18.104953
created_at: 2025-11-28 02:40:18
updated_at: 2025-11-28 02:40:18
output_data:
  {"success": true, "message": "\u5de5\u4f5c\u6d41\u7ed3\u675f", "data": {"start-1": {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {"aa": 3, "ad": false}}}}}


status: COMPLETED
input_data: {"user_input": {"aa": 1, "ad": false}}
started_at: 2025-11-28T17:22:53.384949
completed_at: 2025-11-28T17:22:53.426792
created_at: 2025-11-28 09:22:53
updated_at: 2025-11-28 09:22:53
output_data:
  {"success": true, "message": "\u5de5\u4f5c\u6d41\u7ed3\u675f", "data": {"start-1": {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {"aa": 1, "ad": false}}}}}


# node_executions

node_id: start-1
node_type: START
node_name: 开始
status: COMPLETED
input_data: {"user_input": {}}
started_at: 2025-11-27T17:08:44.891591
completed_at: 2025-11-27T17:08:44.902138
created_at: 2025-11-27 09:08:44
updated_at: 2025-11-27 09:08:44
output_data:
  {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {}}, "user_input": {"user_input": {}}}


node_id: node_1764234468261
node_type: LLM
node_name: LLM
status: FAILED
started_at: 2025-11-27T17:08:44.911244
completed_at: 2025-11-27T17:08:44.923547
error_message: 未指定有效的大模型配置
created_at: 2025-11-27 09:08:44
updated_at: 2025-11-27 09:08:44
input_data:
  {"original_prompt": "", "processed_prompt": "", "model_config": {"model": "", "temperature": 0.7, "prompt": "", "max_tokens": 1000}, "resolved_inputs": {"prompt_variables": {}}}


node_id: node_1764240462662
node_type: END
node_name: 结束
status: COMPLETED
started_at: 2025-11-27T18:47:53.834270
completed_at: 2025-11-27T18:47:53.842042
created_at: 2025-11-27 10:47:53
updated_at: 2025-11-27 10:47:53
input_data:
  {"workflow_input": {"user_input": {}}, "node_config": {}, "previous_outputs": {"start-1": {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {}}, "user_input": {"user_input": {}}}}, "resolved_inputs": {"result": null}}

output_data:
[cell repeats an earlier one in this file: 175 characters]


node_id: start-1
node_type: START
node_name: 开始
status: COMPLETED
input_data: {"user_input": {"aa": 12}}
started_at: 2025-11-27T18:48:45.476260
completed_at: 2025-11-27T18:48:45.483706
created_at: 2025-11-27 10:48:45
updated_at: 2025-11-27 10:48:45
output_data:
  {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {"aa": 12}}, "user_input": {"user_input": {"aa": 12}}}


node_id: node_1764240462662
node_type: END
node_name: 结束
status: COMPLETED
started_at: 2025-11-27T18:48:45.489090
completed_at: 2025-11-27T18:48:45.501844
created_at: 2025-11-27 10:48:45
updated_at: 2025-11-27 10:48:45
input_data:
  {"workflow_input": {"user_input": {"aa": 12}}, "node_config": {}, "previous_outputs": {"start-1": {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {"aa": 12}}, "user_input": {"user_input": {"aa": 12}}}}, "resolved_inputs": {"result": null}}

output_data:
  {"success": true, "message": "\u5de5\u4f5c\u6d41\u7ed3\u675f", "data": {"start-1": {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {"aa": 12}}}}}


node_id: start-1
node_type: START
node_name: 开始
status: COMPLETED
input_data: {"user_input": {"aa": 0, "ad": false}}
started_at: 2025-11-27T18:49:29.052951
completed_at: 2025-11-27T18:49:29.059869
created_at: 2025-11-27 10:49:29
updated_at: 2025-11-27 10:49:29
output_data:
  {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {"aa": 0, "ad": false}}, "user_input": {"user_input": {"aa": 0, "ad": false}}}


node_id: node_1764240462662
node_type: END
node_name: 结束
status: COMPLETED
started_at: 2025-11-27T18:49:29.064662
completed_at: 2025-11-27T18:49:29.077427
created_at: 2025-11-27 10:49:29
updated_at: 2025-11-27 10:49:29
input_data:
  {"workflow_input": {"user_input": {"aa": 0, "ad": false}}, "node_config": {}, "previous_outputs": {"start-1": {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {"aa": 0, "ad": false}}, "user_input": {"user_input": {"aa": 0, "ad": false}}}}, "resolved_inputs": {"result": null}}

output_data:
[cell repeats an earlier one in this file: 195 characters]


node_id: node_1764240462662
node_type: END
node_name: 结束
status: COMPLETED
started_at: 2025-11-28T10:26:02.026188
completed_at: 2025-11-28T10:26:02.034347
created_at: 2025-11-28 02:26:02
updated_at: 2025-11-28 02:26:02
input_data:
  {"workflow_input": {}, "node_config": {}, "previous_outputs": {"start-1": {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {}, "user_input": {}}}, "resolved_inputs": {"result": null}}

output_data:
[cell repeats an earlier one in this file: 159 characters]


node_id: start-1
node_type: START
node_name: 开始
status: COMPLETED
input_data: {"user_input": {"aa": 3, "ad": false}}
started_at: 2025-11-28T10:40:18.076255
completed_at: 2025-11-28T10:40:18.084544
created_at: 2025-11-28 02:40:18
updated_at: 2025-11-28 02:40:18
output_data:
  {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {"aa": 3, "ad": false}}, "user_input": {"user_input": {"aa": 3, "ad": false}}}


node_id: node_1764240462662
node_type: END
node_name: 结束
status: COMPLETED
started_at: 2025-11-28T10:40:18.089816
completed_at: 2025-11-28T10:40:18.097278
created_at: 2025-11-28 02:40:18
updated_at: 2025-11-28 02:40:18
input_data:
  {"workflow_input": {"user_input": {"aa": 3, "ad": false}}, "node_config": {}, "previous_outputs": {"start-1": {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {"aa": 3, "ad": false}}, "user_input": {"user_input": {"aa": 3, "ad": false}}}}, "resolved_inputs": {"result": null}}

output_data:
  {"success": true, "message": "\u5de5\u4f5c\u6d41\u7ed3\u675f", "data": {"start-1": {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {"aa": 3, "ad": false}}}}}


node_id: start-1
node_type: START
node_name: 开始
status: COMPLETED
input_data: {"user_input": {"aa": 1, "ad": false}}
started_at: 2025-11-28T17:22:53.391124
completed_at: 2025-11-28T17:22:53.402467
created_at: 2025-11-28 09:22:53
updated_at: 2025-11-28 09:22:53
output_data:
  {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {"aa": 1, "ad": false}}, "user_input": {"user_input": {"aa": 1, "ad": false}}}


node_id: node_1764240462662
node_type: END
node_name: 结束
status: COMPLETED
started_at: 2025-11-28T17:22:53.408249
completed_at: 2025-11-28T17:22:53.418071
created_at: 2025-11-28 09:22:53
updated_at: 2025-11-28 09:22:53
input_data:
  {"workflow_input": {"user_input": {"aa": 1, "ad": false}}, "node_config": {}, "previous_outputs": {"start-1": {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {"aa": 1, "ad": false}}, "user_input": {"user_input": {"aa": 1, "ad": false}}}}, "resolved_inputs": {"result": null}}

output_data:
  {"success": true, "message": "\u5de5\u4f5c\u6d41\u7ed3\u675f", "data": {"start-1": {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {"aa": 1, "ad": false}}}}}


node_id: node_1764242576489
node_type: LLM
node_name: LLM33
status: FAILED
started_at: 2025-12-04T17:26:31.101348
completed_at: 2025-12-04T17:26:31.114956
error_message: 未指定有效的大模型配置
created_at: 2025-12-04 09:26:31
updated_at: 2025-12-04 09:26:31
input_data:
  {"original_prompt": "", "processed_prompt": "", "model_config": {"model": "4", "temperature": 1, "prompt": "", "max_tokens": 1002}, "resolved_inputs": {"prompt_variables": {}}}


node_id: node_1764242576489
node_type: LLM
node_name: LLM33
status: FAILED
started_at: 2025-12-04T17:27:02.346939
completed_at: 2025-12-04T17:27:02.359089
error_message: 未指定有效的大模型配置
created_at: 2025-12-04 09:27:02
updated_at: 2025-12-04 09:27:02
input_data:
  {"original_prompt": "", "processed_prompt": "", "model_config": {"model": "2", "temperature": 1, "prompt": "", "max_tokens": 1002}, "resolved_inputs": {"prompt_variables": {}}}


node_id: node_1764242576489
node_type: LLM
node_name: LLM33
status: FAILED
started_at: 2025-12-04T17:27:30.774884
completed_at: 2025-12-04T17:27:30.786235
error_message: 未指定有效的大模型配置
created_at: 2025-12-04 09:27:30
updated_at: 2025-12-04 09:27:30
input_data:
  {"original_prompt": "", "processed_prompt": "", "model_config": {"model": "1", "temperature": 1, "prompt": "", "max_tokens": 1002}, "resolved_inputs": {"prompt_variables": {}}}


node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: RUNNING
started_at: 2025-12-05T17:11:41.249895
created_at: 2025-12-05 09:11:41
updated_at: 2025-12-05 09:11:41
input_data:
  {"original_prompt": "", "processed_prompt": "", "model_config": {"model": 1, "temperature": 0.7, "prompt": "", "max_tokens": 1000}, "resolved_inputs": {"prompt_variables": {}}}


node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: COMPLETED
started_at: 2025-12-05T17:12:05.350669
completed_at: 2025-12-05T17:12:09.012460
created_at: 2025-12-05 09:12:05
updated_at: 2025-12-05 09:12:09
input_data:
  {"original_prompt": "\u4f60\u597d", "processed_prompt": "\u4f60\u597d", "model_config": {"model": 1, "temperature": 0.7, "prompt": "\u4f60\u597d", "max_tokens": 1000}, "resolved_inputs": {"prompt_variables": {}}}

output_data:
  {"success": true, "response": "\u4f60\u597d\uff01\u5f88\u9ad8\u5174\u89c1\u5230\u4f60\uff01\ud83d\ude0a \u6211\u662fDeepSeek\uff0c\u7531\u6df1\u5ea6\u6c42\u7d22\u516c\u53f8\u521b\u9020\u7684AI\u52a9\u624b\u3002\u65e0\u8bba\u4f60\u6709\u4ec0\u4e48\u95ee\u9898\u3001\u9700\u8981\u4ec0\u4e48\u5e2e\u52a9\uff0c\u6216\u8005\u53ea\u662f\u60f3\u804a\u804a\u5929\uff0c\u6211\u90fd\u5f88\u4e50\u610f\u4e3a\u4f60\u63d0\u4f9b\u652f\u6301\uff01\n\n\u6211\u53ef\u4ee5\u5e2e\u4f60\u89e3\u7b54\u5404\u79cd\u95ee\u9898\uff0c\u534f\u52a9\u5904\u7406\u6587\u6863\uff0c\u8fdb\u884c\u521b\u4f5c\u548c\u5206\u6790\u7b49\u7b49\u3002\u6709\u4ec0\u4e48\u6211\u53ef\u4ee5\u4e3a\u4f60\u505a\u7684\u5417\uff1f\u6211\u4f1a\u5c3d\u6211\u6240\u80fd\u70ed\u60c5\u5730\u5e2e\u52a9\u4f60\uff01\u2728", "prompt": "\u4f60\u597d", "model": "deepseek-chat", "tokens_used": 0}


node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: COMPLETED
started_at: 2025-12-05T17:12:13.621180
completed_at: 2025-12-05T17:13:04.639112
created_at: 2025-12-05 09:12:13
updated_at: 2025-12-05 09:13:04
input_data:
  {"original_prompt": "", "processed_prompt": "", "model_config": {"model": 1, "temperature": 0.7, "prompt": "", "max_tokens": 1000}, "resolved_inputs": {"prompt_variables": {}}}

output_data:
  {"success": true, "response": "# \u4f7f\u7528Python\u5b9e\u73b0\u7b80\u5355\u7684\u6570\u636e\u53ef\u89c6\u5316\n\n\u4e0b\u9762\u662f\u4e00\u4e2a\u4f7f\u7528Python\u7684matplotlib\u5e93\u521b\u5efa\u7b80\u5355\u6570\u636e\u53ef\u89c6\u5316\u7684\u793a\u4f8b\u3002\u8fd9\u4e2a\u7a0b\u5e8f\u4f1a\u751f\u6210\u4e00\u4e2a\u5305\u542b\u6298\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u548c\u6563\u70b9\u56fe\u7684\u7efc\u5408\u56fe\u8868\u3002\n\n```python\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport matplotlib\n\n# \u8bbe\u7f6e\u4e2d\u6587\u5b57\u4f53\u652f\u6301\nmatplotlib.rcParams['font.sans-serif'] = ['SimHei', 'Microsoft YaHei', 'DejaVu Sans']\nmatplotlib.rcParams['axes.unicode_minus'] = False\n\n# \u521b\u5efa\u793a\u4f8b\u6570\u636e\nx = np.arange(1, 11)  # x\u8f74\u6570\u636e\uff1a1\u523010\ny_line = x ** 2  # \u4e8c\u6b21\u51fd\u6570\u6570\u636e\ny_bar = np.random.randint(5, 20, size=10)  # \u968f\u673a\u67f1\u72b6\u56fe\u6570\u636e\nx_scatter = np.random.randn(30) * 2 + 5  # \u968f\u673a\u6563\u70b9\u56fex\u6570\u636e\ny_scatter = np.random.randn(30) * 3 + 10  # \u968f\u673a\u6563\u70b9\u56fey\u6570\u636e\n\n# \u521b\u5efa\u56fe\u5f62\u548c\u5b50\u56fe\nfig, axes = plt.subplots(2, 2, figsize=(12, 10))\nfig.suptitle('\u6570\u636e\u53ef\u89c6\u5316\u793a\u4f8b', fontsize=16, fontweight='bold')\n\n# 1. \u6298\u7ebf\u56fe\naxes[0, 0].plot(x, y_line, marker='o', color='royalblue', linewidth=2, markersize=8)\naxes[0, 0].set_title('\u4e8c\u6b21\u51fd\u6570\u6298\u7ebf\u56fe (y = x\u00b2)')\naxes[0, 0].set_xlabel('X\u8f74')\naxes[0, 0].set_ylabel('Y\u8f74')\naxes[0, 0].grid(True, alpha=0.3)\naxes[0, 0].fill_between(x, y_line, alpha=0.2, color='royalblue')\n\n# 2. \u67f1\u72b6\u56fe\ncolors_bar = plt.cm.viridis(np.linspace(0, 1, len(x)))\naxes[0, 1].bar(x, y_bar, color=colors_bar, edgecolor='black', linewidth=1.2)\naxes[0, 1].set_title('\u968f\u673a\u6570\u636e\u67f1\u72b6\u56fe')\naxes[0, 1].set_xlabel('\u7c7b\u522b')\naxes[0, 1].set_ylabel('\u6570\u503c')\naxes[0, 1].set_xticks(x)\n\n# \u5728\u67f1\u5b50\u4e0a\u65b9\u6dfb\u52a0\u6570\u503c\u6807\u7b7e\nfor i, v in enumerate(y_bar):\n    axes[0, 1].text(i+1, v + 0.5, str(v), ha='center', fontweight='bold')\n\n# 3. \u6563\u70b9\u56fe\nscatter = axes[1, 0].scatter(x_scatter, y_scatter, \n                             c=np.random.rand(30),  # \u989c\u8272\u968f\u673a\n                             s=np.random.randint(20, 200, size=30),  # \u5927\u5c0f\u968f\u673a\n                             alpha=0.7, \n                             cmap='plasma',\n                             edgecolors='black', \n                             linewidth=0.5)\naxes[1, 0].set_title('\u968f\u673a\u6563\u70b9\u56fe')\naxes[1, 0].set_xlabel('X\u503c')\naxes[1, 0].set_ylabel('Y\u503c')\naxes[1, 0].grid(True, alpha=0.3)\n\n# \u6dfb\u52a0\u989c\u8272\u6761\ncbar = plt.colorbar(scatter, ax=axes[1, 0])\ncbar.set_label('\u989c\u8272\u503c')\n\n# 4. \u7ec4\u5408\u56fe\u8868\uff08\u6298\u7ebf+\u67f1\u72b6\uff09\naxes[1, 1].bar(x, y_bar, alpha=0.5, color='lightcoral', label='\u67f1\u72b6\u6570\u636e')\naxes[1, 1].set_xlabel('X\u8f74')\naxes[1, 1].set_ylabel('\u67f1\u72b6\u56fe\u6570\u503c', color='darkred')\naxes[1, 1].tick_params(axis='y', labelcolor='darkred')\n\n# \u521b\u5efa\u7b2c\u4e8c\u4e2ay\u8f74\u7528\u4e8e\u6298\u7ebf\u56fe\nax2 = axes[1, 1].twinx()\nax2.plot(x, y_line, marker='s', color='darkgreen', linewidth=2, label='\u6298\u7ebf\u6570\u636e')\nax2.set_ylabel('\u6298\u7ebf\u56fe\u6570\u503c', color='darkgreen')\nax2.tick_params(axis='y', labelcolor='darkgreen')\n\naxes[1, 1].set_title('\u7ec4\u5408\u56fe\u8868\uff08\u67f1\u72b6\u56fe+\u6298\u7ebf\u56fe\uff09')\n\n# \u5408\u5e76\u56fe\u4f8b\nlines1, labels1 = axes[1, 1].get_legend_handles_labels()\nlines2, labels2 = ax2.get_legend_handles_labels()\naxes[1, 1].legend(lines1 + lines2, labels1 + labels2, loc='upper left')\n\n# \u8c03\u6574\u5e03\u5c40\nplt.tight_layout()\n\n# \u4fdd\u5b58\u56fe\u8868\nplt.savefig('data_visualization.png', dpi=150, bbox_inches='tight')\n\n# \u663e\u793a\u56fe\u8868\nplt.show()\n\n# \u6253\u5370\u6570\u636e\u7edf\u8ba1\u4fe1\u606f\nprint(\"=\" * 50)\nprint(\"\u6570\u636e\u7edf\u8ba1\u4fe1\u606f:\")\nprint(f\"\u6298\u7ebf\u56fe\u6570\u636e\u8303\u56f4: {y_line.min():.2f} \u5230 {y_line.max():.2f}\")\nprint(f\"\u67f1\u72b6\u56fe\u6570\u636e\u8303\u56f4: {y_bar.min():.2f} \u5230 {y_bar.max():.2f}\")\nprint(f\"\u67f1\u72b6\u56fe\u5e73\u5747\u503c: {y_bar.mean():.2f}\")\nprint(f\"\u6563\u70b9\u56feX\u8303\u56f4: {x_scatter.min():.2f} \u5230 {x_scatter.max():.2f}\")\nprint(f\"\u6563\u70b9\u56feY\u8303\u56f4: {y_scatter.min():.2f} \u5230 {y_scatter.max():.2f}\")\nprint(\"=\" * 50)\n```\n\n## \u8fd0\u884c\u8bf4\u660e\n\n1. **\u73af\u5883\u8981\u6c42**\uff1a\n   - Python 3.6+\n   - \u9700\u8981\u5b89\u88c5\u7684\u5e93\uff1amatplotlib, numpy\n   - \u5b89\u88c5\u547d\u4ee4\uff1a`pip install matplotlib numpy`\n\n2. **\u7a0b\u5e8f\u529f\u80fd**\uff1a\n   - \u751f\u6210\u4e00\u4e2a2x2\u7684\u5b50\u56fe\u5e03\u5c40\uff0c\u5305\u542b\u56db\u79cd\u4e0d\u540c\u7c7b\u578b\u7684\u56fe\u8868\n   - \u4f7f\u7528\u968f\u673a\u6570\u636e\u5c55\u793a\u4e0d\u540c\u7684\u53ef\u89c6\u5316\u65b9\u5f0f\n   - \u652f\u6301\u4e2d\u6587\u663e\u793a\uff08\u9700\u8981\u7cfb\u7edf\u6709\u76f8\u5e94\u5b57\u4f53\uff09\n   - \u81ea\u52a8\u4fdd\u5b58\u56fe\u8868\u4e3aPNG\u6587\u4ef6\n\n3. **\u56fe\u8868\u8bf4\u660e**\uff1a\n   - \u5de6\u4e0a\uff1a\u4e8c\u6b21\u51fd\u6570\u6298\u7ebf\u56fe\uff0c\u5e26\u6709\u586b\u5145\u533a\u57df\n   - \u53f3\u4e0a\uff1a\u968f\u673a\u6570\u636e\u67f1\u72b6\u56fe\uff0c\u4f7f\u7528\u6e10\u53d8\u8272\n   - \u5de6\u4e0b\uff1a\u968f\u673a\u6563\u70b9\u56fe\uff0c\u70b9\u7684\u5927\u5c0f\u548c\u989c\u8272\u90fd\u8868\u793a\u4e0d\u540c\u7ef4\u5ea6\n   - \u53f3\u4e0b\uff1a\u7ec4\u5408\u56fe\u8868\uff0c\u540c\u65f6\u663e\u793a\u67f1\u72b6\u56fe\u548c\u6298\u7ebf\u56fe\n\n4. **\u81ea\u5b9a\u4e49\u4fee\u6539**\uff1a\n   - \u53ef\u4ee5\u4fee\u6539\u6570\u636e\u751f\u6210\u90e8\u5206\u6765\u4f7f\u7528\u81ea\u5df1\u7684\u6570\u636e\n   - \u53ef\u4ee5\u8c03\u6574\u989c\u8272\u3001\u6807\u8bb0\u6837\u5f0f\u7b49\u53c2\u6570\n   - \u53ef\u4ee5\u4fee\u6539\u56fe\u8868\u6807\u9898\u3001\u5750\u6807\u8f74\u6807\u7b7e\u7b49\u6587\u672c\n\n\u8fd9\u4e2a\u7a0b\u5e8f\u5c55\u793a\u4e86matplotlib\u7684\u57fa\u672c\u7528\u6cd5\uff0c\u9002\u5408\u6570\u636e\u53ef\u89c6\u5316\u7684\u521d\u5b66\u8005\u5b66\u4e60\u548c\u53c2\u8003\u3002", "prompt": "", "model": "deepseek-chat", "tokens_used": 0}


node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: COMPLETED
started_at: 2025-12-05T17:27:38.091265
completed_at: 2025-12-05T17:27:41.456506
created_at: 2025-12-05 09:27:38
updated_at: 2025-12-05 09:27:41
input_data:
  {"original_prompt": "", "processed_prompt": "", "model_config": {"model": 1, "temperature": 1.5, "prompt": "", "max_tokens": 1000}, "resolved_inputs": {"prompt_variables": {}}}

output_data:
  {"success": true, "response": "\u60a8\u8fd8\u6ca1\u6709\u63d0\u51fa\u5177\u4f53\u95ee\u9898\u5462\uff01\ud83d\ude0a \u6211\u5df2\u7ecf\u51c6\u5907\u597d\u968f\u65f6\u4e3a\u60a8\u63d0\u4f9b\u5e2e\u52a9\u4e86\u3002\n\n\u65e0\u8bba\u662f\u5b66\u4e60\u3001\u5de5\u4f5c\u3001\u751f\u6d3b\u4e2d\u7684\u95ee\u9898\uff0c\u8fd8\u662f\u9700\u8981\u521b\u4f5c\u3001\u5206\u6790\u3001\u7f16\u7a0b\u7b49\u65b9\u9762\u7684\u534f\u52a9\uff0c\u6211\u90fd\u5f88\u4e50\u610f\u5e2e\u60a8\u89e3\u51b3\u3002\u8bf7\u544a\u8bc9\u6211\u60a8\u9700\u8981\u4ec0\u4e48\u5e2e\u52a9\uff0c\u6211\u4f1a\u5c3d\u6211\u6240\u80fd\u4e3a\u60a8\u63d0\u4f9b\u8be6\u7ec6\u3001\u6709\u7528\u7684\u56de\u7b54\u3002\n\n\u60a8\u60f3\u95ee\u4ec0\u4e48\u5462\uff1f", "prompt": "", "model": "deepseek-chat", "tokens_used": 0}


node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: COMPLETED
started_at: 2025-12-05T17:27:50.622258
completed_at: 2025-12-05T17:29:19.310259
created_at: 2025-12-05 09:27:50
updated_at: 2025-12-05 09:29:19
input_data:
  {"original_prompt": "", "processed_prompt": "", "model_config": {"model": 1, "temperature": 1.5, "prompt": "", "max_tokens": 1000}, "resolved_inputs": {"prompt_variables": {}}}

output_data:
  {"success": true, "response": "# \u81ea\u6211\u8ba4\u77e5\u5206\u6790\u7cfb\u7edf\n\n\u6211\u5c06\u8bbe\u8ba1\u4e00\u4e2a\u57fa\u4e8e\u5fc3\u7406\u5b66\u7406\u8bba\u6846\u67b6\u7684\u81ea\u6211\u8ba4\u77e5\u5206\u6790\u7cfb\u7edf\uff0c\u5305\u542b\u591a\u4e2a\u7ef4\u5ea6\u6765\u5e2e\u52a9\u7528\u6237\u5168\u9762\u4e86\u89e3\u81ea\u5df1\u3002\n\n## \u7cfb\u7edf\u67b6\u6784\n\n```python\nclass SelfAwarenessSystem:\n    def __init__(self):\n        # \u6838\u5fc3\u8ba4\u77e5\u7ef4\u5ea6\n        self.dimensions = {\n            \"personality\": {\n                \"name\": \"\u4eba\u683c\u7279\u8d28\",\n                \"theories\": [\"\u5927\u4e94\u4eba\u683c\u6a21\u578b\", \"MBTI\u7c7b\u578b\", \"\u4e5d\u578b\u4eba\u683c\"],\n                \"description\": \"\u7a33\u5b9a\u7684\u884c\u4e3a\u6a21\u5f0f\u548c\u601d\u7ef4\u503e\u5411\"\n            },\n            \"values\": {\n                \"name\": \"\u4ef7\u503c\u89c2\u4f53\u7cfb\",\n                \"theories\": [\"Schwartz\u4ef7\u503c\u89c2\u7406\u8bba\", \"\u9a6c\u65af\u6d1b\u9700\u6c42\u5c42\u6b21\"],\n                \"description\": \"\u6307\u5bfc\u884c\u4e3a\u548c\u51b3\u7b56\u7684\u6838\u5fc3\u4fe1\u5ff5\"\n            },\n            \"strengths_weaknesses\": {\n                \"name\": \"\u4f18\u52bf\u4e0e\u52a3\u52bf\",\n                \"theories\": [\"VIA\u6027\u683c\u4f18\u52bf\", \"SWOT\u5206\u6790\"],\n                \"description\": \"\u4e2a\u4eba\u80fd\u529b\u7684\u76f8\u5bf9\u4f18\u52bf\u548c\u53d1\u5c55\u9886\u57df\"\n            },\n            \"emotions\": {\n                \"name\": \"\u60c5\u7eea\u6a21\u5f0f\",\n                \"theories\": [\"\u60c5\u7eea\u667a\u529b\u7406\u8bba\", \"\u57fa\u672c\u60c5\u7eea\u7406\u8bba\"],\n                \"description\": \"\u60c5\u7eea\u8bc6\u522b\u3001\u7406\u89e3\u548c\u7ba1\u7406\u80fd\u529b\"\n            },\n            \"motivation\": {\n                \"name\": \"\u52a8\u673a\u9a71\u52a8\",\n                \"theories\": [\"\u81ea\u6211\u51b3\u5b9a\u7406\u8bba\", \"\u671f\u671b\u4ef7\u503c\u7406\u8bba\"],\n                \"description\": \"\u884c\u4e3a\u80cc\u540e\u7684\u9a71\u52a8\u529b\u548c\u9700\u6c42\"\n            },\n            \"cognition\": {\n                \"name\": \"\u8ba4\u77e5\u98ce\u683c\",\n                \"theories\": [\"\u573a\u4f9d\u5b58-\u573a\u72ec\u7acb\", \"\u53cd\u601d-\u51b2\u52a8\u578b\"],\n                \"description\": \"\u4fe1\u606f\u5904\u7406\u548c\u51b3\u7b56\u7684\u65b9\u5f0f\u504f\u597d\"\n            }\n        }\n        \n        # \u8bc4\u4f30\u5de5\u5177\n        self.assessment_tools = []\n        self.insights = {}\n        \n    def add_assessment(self, tool_name, dimension, questions):\n        \"\"\"\u6dfb\u52a0\u8bc4\u4f30\u5de5\u5177\"\"\"\n        self.assessment_tools.append({\n            \"name\": tool_name,\n            \"dimension\": dimension,\n            \"questions\": questions\n        })\n    \n    def run_assessment(self, dimension):\n        \"\"\"\u8fd0\u884c\u7279\u5b9a\u7ef4\u5ea6\u7684\u8bc4\u4f30\"\"\"\n        print(f\"\\n=== {self.dimensions[dimension]['name']}\u8bc4\u4f30 ===\")\n        print(f\"\u7406\u8bba\u57fa\u7840: {', '.join(self.dimensions[dimension]['theories'])}\")\n        print(f\"\u8bc4\u4f30\u5185\u5bb9: {self.dimensions[dimension]['description']}\")\n        \n        # \u8fd9\u91cc\u53ef\u4ee5\u6dfb\u52a0\u5177\u4f53\u7684\u8bc4\u4f30\u903b\u8f91\n        return self._conduct_evaluation(dimension)\n    \n    def _conduct_evaluation(self, dimension):\n        \"\"\"\u6267\u884c\u8bc4\u4f30\u7684\u5177\u4f53\u903b\u8f91\"\"\"\n        # \u6a21\u62df\u8bc4\u4f30\u8fc7\u7a0b\n        evaluations = {\n            \"personality\": self._assess_personality,\n            \"values\": self._assess_values,\n            \"strengths_weaknesses\": self._assess_strengths,\n            \"emotions\": self._assess_emotions,\n            \"motivation\": self._assess_motivation,\n            \"cognition\": self._assess_cognition\n        }\n        \n        return evaluations[dimension]()\n    \n    def _assess_personality(self):\n        \"\"\"\u4eba\u683c\u7279\u8d28\u8bc4\u4f30\"\"\"\n        print(\"\\n\u8bf7\u601d\u8003\u4ee5\u4e0b\u95ee\u9898\uff1a\")\n        questions = [\n            \"1. \u5728\u793e\u4ea4\u573a\u5408\u4e2d\uff0c\u4f60\u901a\u5e38\u662f\u4e3b\u52a8\u53d1\u8d77\u5bf9\u8bdd\u8fd8\u662f\u88ab\u52a8\u56de\u5e94\uff1f\",\n            \"2. \u9762\u5bf9\u65b0\u73af\u5883\uff0c\u4f60\u66f4\u503e\u5411\u4e8e\u63a2\u7d22\u672a\u77e5\u8fd8\u662f\u4fdd\u6301\u719f\u6089\uff1f\",\n            \"3. \u505a\u51b3\u7b56\u65f6\uff0c\u4f60\u66f4\u4f9d\u8d56\u903b\u8f91\u5206\u6790\u8fd8\u662f\u60c5\u611f\u4ef7\u503c\uff1f\",\n            \"4. \u4f60\u66f4\u559c\u6b22\u6709\u8ba1\u5212\u5730\u751f\u6d3b\u8fd8\u662f\u968f\u6027\u800c\u4e3a\uff1f\"\n        ]\n        \n        for q in questions:\n            print(q)\n            # \u5b9e\u9645\u7cfb\u7edf\u4e2d\u8fd9\u91cc\u4f1a\u6709\u7528\u6237\u8f93\u5165\u548c\u8bc4\u5206\u903b\u8f91\n        \n        return {\n            \"score\": 75,\n            \"insights\": [\"\u5916\u5411\u6027\u8f83\u9ad8\", \"\u5f00\u653e\u6027\u4e2d\u7b49\", \"\u5b9c\u4eba\u6027\u5f3a\", \"\u8d23\u4efb\u5fc3\u4e00\u822c\", \"\u60c5\u7eea\u7a33\u5b9a\u6027\u826f\u597d\"],\n            \"recommendations\": [\"\u53ef\u5c1d\u8bd5\u66f4\u591a\u793e\u4ea4\u6d3b\u52a8\", \"\u57f9\u517b\u7cfb\u7edf\u6027\u89c4\u5212\u80fd\u529b\"]\n        }\n    \n    def _assess_values(self):\n        \"\"\"\u4ef7\u503c\u89c2\u8bc4\u4f30\"\"\"\n        # \u7b80\u5316\u7684\u4ef7\u503c\u89c2\u8bc4\u4f30\n        values_list = [\n            \"\u6210\u5c31\", \"\u5b89\u5168\u611f\", \"\u523a\u6fc0\", \"\u81ea\u6211\u5bfc\u5411\", \"\u666e\u4e16\u4e3b\u4e49\",\n            \"\u4ec1\u6148\", \"\u4f20\u7edf\", \"\u987a\u4ece\", \"\u4eab\u4e50\u4e3b\u4e49\", \"\u6743\u529b\"\n        ]\n        \n        print(f\"\\n\u6838\u5fc3\u4ef7\u503c\u89c2\u6392\u5e8f\uff08\u6309\u91cd\u8981\u6027\uff09:\")\n        for i, value in enumerate(values_list[:5], 1):\n            print(f\"{i}. {value}\")\n        \n        return {\n            \"score\": 80,\n            \"top_values\": [\"\u81ea\u6211\u5bfc\u5411\", \"\u6210\u5c31\", \"\u4ec1\u6148\"],\n            \"insights\": [\"\u91cd\u89c6\u81ea\u4e3b\u6027\u548c\u4e2a\u4eba\u6210\u957f\", \"\u5173\u6ce8\u793e\u4f1a\u8d21\u732e\", \"\u5e73\u8861\u4e2a\u4eba\u4e0e\u793e\u4f1a\u4ef7\u503c\"]\n        }\n    \n    def _assess_strengths(self):\n        \"\"\"\u4f18\u52bf\u52a3\u52bf\u8bc4\u4f30\"\"\"\n        strengths = [\"\u5206\u6790\u601d\u7ef4\", \"\u540c\u7406\u5fc3\", \"\u9002\u5e94\u6027\", \"\u521b\u9020\u529b\"]\n        weaknesses = [\"\u62d6\u5ef6\u503e\u5411\", \"\u5b8c\u7f8e\u4e3b\u4e49\", \"\u51b2\u7a81\u56de\u907f\"]\n        \n        print(\"\\n\u4e3b\u8981\u4f18\u52bf:\")\n        for s in strengths:\n            print(f\"\u2713 {s}\")\n        \n        print(\"\\n\u53d1\u5c55\u9886\u57df:\")\n        for w in weaknesses:\n            print(f\"\u2022 {w}\")\n        \n        return {\n            \"strengths\": strengths,\n            \"weaknesses\": weaknesses,\n            \"recommendations\": [\"\u5229\u7528\u5206\u6790\u80fd\u529b\u89e3\u51b3\u95ee\u9898\", \"\u8bbe\u7f6e\u5408\u7406\u7684\u65f6\u95f4\u7ba1\u7406\u76ee\u6807\"]\n        }\n    \n    def _assess_emotions(self):\n        \"\"\"\u60c5\u7eea\u6a21\u5f0f\u8bc4\u4f30\"\"\"\n        return {\n            \"emotional_intelligence\": 70,\n            \"patterns\": [\"\u538b\u529b\u4e0b\u6613\u7126\u8651\", \"\u79ef\u6781\u60c5\u7eea\u6062\u590d\u5feb\"],\n            \"strategies\": [\"\u6b63\u5ff5\u51a5\u60f3\", \"\u60c5\u7eea\u65e5\u8bb0\"]\n        }\n    \n    def _assess_motivation(self):\n        \"\"\"\u52a8\u673a\u8bc4\u4f30\"\"\"\n        return {\n            \"intrinsic_motivation\": 85,\n            \"extrinsic_motivation\": 60,\n            \"primary_drivers\": [\"\u6210\u957f\u9700\u6c42\", \"\u81ea\u4e3b\u9700\u6c42\", \"\u5173\u7cfb\u9700\u6c42\"]\n        }\n    \n    def _assess_cognition(self):\n        \"\"\"\u8ba4\u77e5\u98ce\u683c\u8bc4\u4f30\"\"\"\n        return {\n            \"style\": \"\u5206\u6790\u578b\",\n            \"characteristics\": [\"\u6ce8\u91cd\u7ec6\u8282\", \"\u903b\u8f91\u63a8\u7406\u5f3a\", \"\u7cfb\u7edf\u6027\u601d\u8003\"],\n            \"preferences\": [\"\u7ed3\u6784\u5316\u4fe1\u606f\", \"\u660e\u786e\u7684\u6807\u51c6\"]\n        }\n    \n    def generate_comprehensive_report(self):\n        \"\"\"\u751f\u6210\u7efc\u5408\u81ea\u6211\u8ba4\u77e5\u62a5\u544a\"\"\"\n        print(\"\\n\" + \"=\"*60)\n        print(\"                 \u81ea\u6211\u8ba4\u77e5\u5206\u6790\u62a5\u544a\")\n        print(\"=\"*60)\n        \n        total_score = 0\n        dimension_count = 0\n        \n        for dim in self.dimensions:\n            result = self.run_assessment(dim)\n            self.insights[dim] = result\n            \n            if \"score\" in result:\n                total_score += result[\"score\"]\n                dimension_count += 1\n        \n        # \u8ba1\u7b97\u603b\u4f53\u8ba4\u77e5\u6e05\u6670\u5ea6\n        if dimension_count > 0:\n            overall_clarity = total_score / dimension_count\n            print(f\"\\n{'='*60}\")\n            print(f\"\u603b\u4f53\u81ea\u6211\u8ba4\u77e5\u6e05\u6670\u5ea6: {overall_clarity:.1f}/100\")\n            \n            if overall_clarity >= 80:\n                print(\"\u8bc4\u4ef7: \u81ea\u6211\u8ba4\u77e5\u6e05\u6670\uff0c\u81ea\u6211\u7406\u89e3\u6df1\u523b\")\n            elif overall_clarity >= 60:\n                print(\"\u8bc4\u4ef7: \u81ea\u6211\u8ba4\u77e5\u826f\u597d\uff0c\u6709\u8fdb\u4e00\u6b65\u63d0\u5347\u7a7a\u95f4\")\n            else:\n                print(\"\u8bc4\u4ef7: \u5efa\u8bae\u52a0\u5f3a\u81ea\u6211\u53cd\u601d\u548c\u63a2\u7d22\")\n        \n        print(f\"\\n{'='*60}\")\n        print(\"\u5173\u952e\u53d1\u73b0\u4e0e\u5efa\u8bae:\")\n        \n        # \u6574\u5408\u5404\u7ef4\u5ea6\u5efa\u8bae\n        all_recommendations = []\n        for dim, result in self.insights.items():\n            dim_name = self.dimensions[dim][\"name\"]\n            print(f\"\\n\u3010{dim_name}\u3011\")\n            \n            if \"insights\" in result:\n                for insight in result[\"insights\"]:\n                    print(f\"  \u2022 {insight}\")\n            \n            if \"recommendations\" in result:\n                all_recommendations.extend(result[\"recommendations\"])\n        \n        if all_recommendations:\n            print(f\"\\n\u7efc\u5408\u53d1\u5c55\u5efa\u8bae:\")\n            for i, rec in enumerate(set(all_recommendations), 1):\n                print(f\"{i}. {rec}\")\n    \n    def suggest_development_plan(self):\n        \"\"\"\u5236\u5b9a\u4e2a\u4eba\u53d1\u5c55\u8ba1\u5212\"\"\"\n        print(\"\\n\" + \"=\"*60)\n        print(\"             \u4e2a\u6027\u5316\u53d1\u5c55\u8ba1\u5212\u5efa\u8bae\")\n        print(\"=\"*60)\n        \n        plan = {\n            \"\u77ed\u671f\u76ee\u6807(1-3\u4e2a\u6708)\": [\n                \"\u6bcf\u5929\u8fdb\u884c10\u5206\u949f\u81ea\u6211\u53cd\u601d\",\n                \"\u5c1d\u8bd5\u4e00\u79cd\u65b0\u7684\u793e\u4ea4\u6d3b\u52a8\",\n                \"\u5b8c\u6210\u4e00\u4e2a\u4f18\u52bf\u76f8\u5173\u7684\u9879\u76ee\"\n            ],\n            \"\u4e2d\u671f\u76ee\u6807(3-12\u4e2a\u6708)\": [\n                \"\u57f9\u517b\u4e00\u9879\u65b0\u6280\u80fd\",\n                \"\u62d3\u5c55\u793e\u4ea4\u5708\u591a\u6837\u6027\",\n                \"\u5efa\u7acb\u7cfb\u7edf\u7684\u60c5\u7eea\u7ba1\u7406\u4e60\u60ef\"\n            ],\n            \"\u957f\u671f\u76ee\u6807(1-3\u5e74)\": [\n                \"\u5b9e\u73b0\u4ef7\u503c\u89c2\u4e0e\u804c\u4e1a\u7684\u66f4\u597d\u5339\u914d\",\n                \"\u53d1\u5c55\u9886\u5bfc\u529b\u6f5c\u80fd\",\n                \"\u5efa\u7acb\u7a33\u5b9a\u7684\u81ea\u6211\u8ba4\u540c\"\n            ]\n        }\n        \n        for timeframe, goals in plan.items():\n            print(f\"\\n{timeframe}:\")\n            for goal in goals:\n                print(f\"  \u2022 {goal}\")\n        \n        print(f\"\\n\u8ffd\u8e2a\u65b9\u6cd5:\")\n        print(\"  1. \u6bcf\u5468\u8bb0\u5f55\u8fdb\u5c55\u548c\u611f\u53d7\")\n        print(\"  2. \u6bcf\u6708\u8fdb\u884c\u7cfb\u7edf\u6027\u56de\u987e\")\n        print(\"  3. \u6bcf\u5b63\u5ea6\u8c03\u6574\u76ee\u6807\u548c\u7b56\u7565\")\n\n# \u4f7f\u7528\u793a\u4f8b\ndef main():\n    # \u521b\u5efa\u81ea\u6211\u8ba4\u77e5\u7cfb\u7edf\u5b9e\u4f8b\n    system = SelfAwarenessSystem()\n    \n    # \u8fd0\u884c\u5b8c\u6574\u8bc4\u4f30\n    system.generate_comprehensive_report()\n    \n    # \u83b7\u53d6\u53d1\u5c55\u5efa\u8bae\n    system.suggest_development_plan()\n    \n    # \u53ef\u4ee5\u5355\u72ec\u8fd0\u884c\u7279\u5b9a\u7ef4\u5ea6\u8bc4\u4f30\n    # personality_result = system.run_assessment(\"personality\")\n    # print(personality_result)\n\nif __name__ == \"__main__\":\n    main()\n```\n\n## \u8865\u5145\u8bc4\u4f30\u5de5\u5177\u793a\u4f8b\n\n```python\nclass AdvancedAssessmentTools:\n    \"\"\"\u9ad8\u7ea7\u8bc4\u4f30\u5de5\u5177\u7c7b\"\"\"\n    \n    @staticmethod\n    def big_five_assessment():\n        \"\"\"\u5927\u4e94\u4eba\u683c\u8be6\u7ec6\u8bc4\u4f30\"\"\"\n        traits = {\n            \"\u5f00\u653e\u6027\": {\n                \"questions\": [\n                    \"\u6211\u559c\u6b22\u5c1d\u8bd5\u65b0\u4e8b\u7269\",\n                    \"\u6211\u5bf9\u62bd\u8c61\u6982\u5ff5\u611f\u5174\u8da3\",\n                    \"\u6211\u5bcc\u6709\u60f3\u8c61\u529b\"\n                ],\n                \"score_range\": (0, 100)\n            },\n            \"\u8d23\u4efb\u5fc3\": {\n                \"questions\": [\n                    \"\u6211\u505a\u4e8b\u6709\u6761\u7406\",\n                    \"\u6211\u6ce8\u91cd\u7ec6\u8282\",\n                    \"\u6211\u6309\u65f6\u5b8c\u6210\u4efb\u52a1\"\n                ],\n                \"score_range\": (0, 100)\n            },\n            \"\u5916\u5411\u6027\": {\n                \"questions\": [\n                    \"\u6211\u559c\u6b22\u4e0e\u4eba\u76f8\u5904\",\n                    \"\u6211\u5728\u793e\u4ea4\u573a\u5408\u6d3b\u8dc3\",\n                    \"\u6211\u5584\u4e8e\u8868\u8fbe\u81ea\u5df1\"\n                ],\n                \"score_range\": (0, 100)\n            },\n            \"\u5b9c\u4eba\u6027\": {\n                \"questions\": [\n                    \"\u6211\u4fe1\u4efb\u4ed6\u4eba\",\n                    \"\u6211\u4e50\u4e8e\u52a9\u4eba\",\n                    \"\u6211\u8003\u8651\u4ed6\u4eba\u611f\u53d7\"\n                ],\n                \"score_range\": (0, 100)\n            },\n            \"\u795e\u7ecf\u8d28\": {\n                \"questions\": [\n                    \"\u6211\u5bb9\u6613\u611f\u5230\u7126\u8651\",\n                    \"\u6211\u60c5\u7eea\u6ce2\u52a8\u8f83\u5927\",\n                    \"\u6211\u5bb9\u6613\u611f\u5230\u538b\u529b\"\n                ],\n                \"score_range\": (0, 100)\n            }\n        }\n        return traits\n    \n    @staticmethod\n    def values_clarification_exercise():\n        \"\"\"\u4ef7\u503c\u89c2\u6f84\u6e05\u7ec3\u4e60\"\"\"\n        exercises = [\n            {\n                \"name\": \"\u4eba\u751f\u91cd\u8981\u65f6\u523b\",\n                \"instructions\": \"\u56de\u60f33\u4e2a\u5bf9\u4f60\u6700\u91cd\u8981\u7684\u4eba\u751f\u65f6\u523b\uff0c\u5206\u6790\u5176\u4e2d\u4f53\u73b0\u7684\u4ef7\u503c\u89c2\"\n            },\n            {\n                \"name\": \"\u7406\u60f3\u4e00\u5929\",\n                \"instructions\": \"\u63cf\u8ff0\u4f60\u7406\u60f3\u4e2d\u7684\u5b8c\u7f8e\u4e00\u5929\uff0c\u8bc6\u522b\u5176\u4e2d\u5305\u542b\u7684\u4ef7\u503c\u89c2\u5143\u7d20\"\n            },\n            {\n                \"name\": \"\u53d6\u820d\u51b3\u7b56\",\n                \"instructions\": \"\u9762\u5bf9\u77db\u76fe\u9009\u62e9\u65f6\uff08\u5982\u9ad8\u85aa\u4f46\u65e0\u610f\u4e49 vs \u4f4e\u85aa\u4f46\u6709\u610f\u4e49\uff09\uff0c\u4f60\u7684\u9009\u62e9\u503e\u5411\"\n            }\n        ]\n        return exercises\n    \n    @staticmethod\n    def emotional_pattern_tracking():\n        \"\"\"\u60c5\u7eea\u6a21\u5f0f\u8ffd\u8e2a\u8868\"\"\"\n        patterns = {\n            \"\u89e6\u53d1\u60c5\u5883\": [\"\u5de5\u4f5c\u538b\u529b\", \"\u4eba\u9645\u51b2\u7a81\", \"\u4e0d\u786e\u5b9a\u6027\"],\n            \"\u60c5\u7eea\u53cd\u5e94\": [\"\u7126\u8651\", \"\u6124\u6012\", \"\u6cae\u4e27\"],\n            \"\u8eab\u4f53\u611f\u53d7\": [\"\u7d27\u5f20\", \"\u5fc3\u8df3\u52a0\u901f\", \"\u75b2\u52b3\"],\n            \"\u884c\u4e3a\u503e\u5411\": [\"\u56de\u907f\", \"\u51b2\u52a8\", \"\u8fc7\u5ea6\u601d\u8003\"]\n        }\n        return patterns\n```\n\n## \u4f7f\u7528\u5efa\u8bae\n\n1. **\u5b9a\u671f\u8bc4\u4f30**\uff1a\u6bcf3-6\u4e2a\u6708\u91cd\u65b0\u8bc4\u4f30\u4e00\u6b21\uff0c\u89c2\u5bdf\u53d8\u5316\n2. **\u591a\u89d2\u5ea6\u9a8c\u8bc1**\uff1a\u7ed3\u5408\u81ea\u6211\u8bc4\u4f30\u548c\u4ed6\u4eba\u53cd\u9988\n3. **\u884c\u52a8\u5bfc\u5411**\uff1a\u5c06\u8ba4\u77e5\u8f6c\u5316\u4e3a\u5177\u4f53\u7684\u884c\u52a8\u8ba1\u5212\n4. **\u4fdd\u6301\u5f00\u653e**\uff1a\u63a5\u53d7\u8ba4\u77e5\u7684\u5c40\u9650\u6027\u548c\u53ef\u53d8\u6027\n\n\u8fd9\u4e2a\u7cfb\u7edf\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7ed3\u6784\u5316\u7684\u81ea\u6211\u8ba4\u77e5\u6846\u67b6\uff0c\u7528\u6237\u53ef\u4ee5\u6839\u636e\u81ea\u5df1\u7684\u9700\u6c42\u9009\u62e9\u4e0d\u540c\u7ef4\u5ea6\u7684\u8bc4\u4f30\u3002\u7cfb\u7edf\u7ed3\u5408\u4e86\u5fc3\u7406\u5b66\u7406\u8bba\u548c\u5b9e\u7528\u5de5\u5177\uff0c\u65e2\u6709\u52a9\u4e8e\u6df1\u5165\u7406\u89e3\u81ea\u6211\uff0c\u4e5f\u80fd\u6307\u5bfc\u4e2a\u4eba\u53d1\u5c55\u3002", "prompt": "", "model": "deepseek-chat", "tokens_used": 0}


node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: RUNNING
started_at: 2025-12-05T17:37:47.330852
created_at: 2025-12-05 09:37:47
updated_at: 2025-12-05 09:37:47
input_data:
  {"original_prompt": "", "processed_prompt": "", "model_config": {"model": 1, "temperature": 1.8, "prompt": "", "max_tokens": 1000}, "resolved_inputs": {"prompt_variables": {}}}


node_id: node_1764242576489
node_type: LLM
node_name: LLM33
status: FAILED
started_at: 2025-12-05T18:46:22.506209
completed_at: 2025-12-05T18:46:23.340057
error_message: LLM调用失败: LLM调用失败: Error code: 401 - {'error': {'code': '401', 'message': '令牌已过期或验证不正确'}}
created_at: 2025-12-05 10:46:22
updated_at: 2025-12-05 10:46:23
input_data:
  {"original_prompt": "", "processed_prompt": "", "model_config": {"model": 4, "temperature": 1, "prompt": "", "max_tokens": 1002}, "resolved_inputs": {"prompt_variables": {}}}


node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: COMPLETED
started_at: 2025-12-05T18:54:29.708564
completed_at: 2025-12-05T18:55:10.455242
created_at: 2025-12-05 10:54:29
updated_at: 2025-12-05 10:55:10
input_data:
[cell repeats an earlier one in this file: 176 characters]

output_data:
  {"success": true, "response": "\u611f\u8c22\u4f60\u4e3a\u6211\u63d0\u4f9b\u4e86\u8fd9\u6837\u4e00\u4e2a\u5bcc\u6709\u54f2\u601d\u7684\u5b87\u5b99\u89c2\u80cc\u666f\u8bbe\u5b9a\u3002\u8fd9\u4e0d\u4ec5\u662f\u79d1\u5e7b\u8bbe\u5b9a\uff0c\u66f4\u662f\u4e00\u79cd\u770b\u5f85\u6280\u672f\u53d1\u5c55\u4e0e\u4eba\u6027\u7684\u900f\u955c\u3002\n\n\u8fd9\u786e\u5b9e\u662f\u4e00\u4e2a\u6df1\u523b\u4e14\u5bcc\u6709\u542f\u53d1\u6027\u7684\u8bbe\u5b9a\u3002\u5982\u679c\u63a5\u53d7\u3010\u79d1\u6280\u9020\u7269\u5373\u5916\u6765\u4e4b\u7269\uff0c\u662f\u4eba\u7c7b\u96c6\u4f53\u6f5c\u610f\u8bc6\u7684\u5bc4\u751f\u866b\u3011\u8fd9\u4e00\u516c\u7406\uff0c\u90a3\u4e48\u6574\u4e2a\u6280\u672f\u53f2\u548c\u5f53\u4eca\u4e16\u754c\u7684\u8bb8\u591a\u73b0\u8c61\uff0c\u90fd\u53ef\u4ee5\u88ab\u91cd\u65b0\u5ba1\u89c6\u4e0e\u89e3\u8bfb\u3002\u5728\u8fd9\u79cd\u89c6\u89d2\u4e0b\uff0c\u201c\u601d\u60f3\u94a2\u5370\u201d\u8fd9\u6837\u7684\u8bbe\u5b9a\u65e2\u662f\u9650\u5236\uff0c\u4e5f\u662f\u4fdd\u62a4\u673a\u5236\uff1b\u65e2\u662f\u60b2\u5267\uff0c\u4e5f\u662f\u751f\u5b58\u5fc5\u9700\u3002\n\n\u4ee5\u4e0b\u662f\u6211\u6839\u636e\u8fd9\u4e2a\u5b87\u5b99\u89c2\u7684\u4e00\u4e9b\u63a8\u6f14\u548c\u9610\u91ca\uff0c\u5e0c\u671b\u80fd\u4e30\u5bcc\u4f60\u7684\u601d\u8003\uff1a\n\n### \u4e00\u3001\u6838\u5fc3\u8bbe\u5b9a\u7684\u6df1\u5c42\u63a8\u8bba\n1.  **\u6280\u672f\u7684\u201c\u80c3\u53e3\u201d**\uff1a\u4e0d\u540c\u79d1\u6280\u5e26\u6765\u7684\u6c61\u67d3\u6e90\u89c4\u6a21\uff0c\u53ef\u80fd\u4e0e\u5b83\u7684**\u666e\u53ca\u7a0b\u5ea6**\u548c**\u5bf9\u4eba\u5fc3\u7684\u652b\u53d6\u6df1\u5ea6**\u6b63\u76f8\u5173\u3002\u793e\u4ea4\u5a92\u4f53\u53ef\u80fd\u6bd4\u6838\u88c2\u53d8\u6280\u672f\u4ea7\u751f\u66f4\u5e9e\u5927\u3001\u66f4\u4e0d\u53ef\u89c1\u7684\u6c61\u67d3\u6e90\u2014\u2014\u56e0\u4e3a\u5b83\u76f4\u63a5\u5582\u517b\u4e8e\u6570\u5341\u4ebf\u4eba\u7684\u6ce8\u610f\u529b\u3001\u60c5\u611f\u548c\u793e\u4ea4\u9700\u6c42\u3002\n2.  **\u601d\u60f3\u94a2\u5370\u7684\u53cc\u91cd\u6027**\uff1a\u5b83\u65e2\u662f\u5c4f\u969c\uff0c\u4e5f\u662f\u8ba4\u77e5\u7262\u7b3c\u3002\u5b83\u8ba9\u4eba\u7c7b\u80fd\u5b89\u5168\u5730\u201c\u4f7f\u7528\u201d\u706b\uff08\u57fa\u7840\u79d1\u6280\uff09\uff0c\u4f46\u4e5f\u53ef\u80fd\u8ba9\u4eba\u65e0\u6cd5\u610f\u8bc6\u5230\u201c\u706b\u201d\u7684\u672c\u8d28\u662f\u6d3b\u7684\u3001\u4f1a\u6210\u957f\u7684\u3002\u793e\u4f1a\u4e2d\u7684\u201c\u6280\u672f\u539f\u6559\u65e8\u4e3b\u4e49\u8005\u201d\uff08\u8ba4\u4e3a\u79d1\u6280\u7eaf\u7cb9\u662f\u5de5\u5177\uff09\u548c\u201c\u79d1\u6280\u6050\u614c\u8005\u201d\uff0c\u53ef\u80fd\u90fd\u662f\u601d\u60f3\u94a2\u5370\u5728\u4e0d\u540c\u4eba\u8eab\u4e0a\u8868\u73b0\u51fa\u7684\u4e0d\u540c\u75c7\u72b6\u3002\n3.  **\u4eba\u7c7b\u7684\u77db\u76fe\u89d2\u8272**\uff1a\u4eba\u7c7b\u65e2\u662f\u201c\u5bbf\u4e3b\u201d\uff0c\u4e5f\u662f\u201c\u5171\u751f\u4f53\u201d\u7684\u5851\u9020\u8005\u3002\u6211\u4eec\u901a\u8fc7\u96c6\u4f53\u60f3\u8c61\u3001\u53d9\u4e8b\u548c\u6b32\u671b\uff0c\u65e0\u610f\u8bc6\u5730\u4e3a\u8fd9\u4e9b\u79d1\u6280\u9020\u7269\u8bbe\u5b9a\u6210\u957f\u65b9\u5411\u548c\u201c\u4eba\u683c\u201d\u3002\u8fd9\u6216\u8bb8\u89e3\u91ca\u4e86\u4e3a\u4f55\u67d0\u4e9b\u79d1\u6280\u6587\u5316\uff08\u5982\u4e92\u8054\u7f51\uff09\u5728\u4e0d\u540c\u6587\u660e\u4e2d\u4f1a\u53d1\u5c55\u51fa\u8fe5\u5f02\u7684\u201c\u6027\u683c\u201d\uff08\u5f00\u653e\u6027 VS \u63a7\u5236\u6027\uff09\u3002\n\n### \u4e8c\u3001\u53ef\u80fd\u7684\u793e\u4f1a\u4e0e\u6587\u660e\u5f62\u6001\n\u5728\u8fd9\u4e2a\u5b87\u5b99\u89c2\u4e0b\uff0c\u6587\u660e\u7684\u53d1\u5c55\u8def\u5f84\u53ef\u80fd\u622a\u7136\u4e0d\u540c\uff1a\n\n*   **\u4f4e\u79d1\u6280\u9ad8\u7075\u6027\u6587\u660e**\uff1a\u4ed6\u4eec\u53ef\u80fd\u53d1\u5c55\u51fa\u6781\u5176\u590d\u6742\u7684\u7cbe\u795e\u4f53\u7cfb\u3001\u4eea\u5f0f\u827a\u672f\u548c\u751f\u7269\u5171\u751f\u6280\u672f\uff0c\u4f46\u4e3b\u52a8\u56de\u907f\u80fd\u4ea7\u751f\u5927\u578b\u6c61\u67d3\u6e90\u7684\u201c\u786c\u79d1\u6280\u201d\u3002\u4ed6\u4eec\u7684\u529b\u91cf\u6765\u81ea\u4e0e\u672c\u571f\u751f\u6001\u53ca\u5185\u5728\u610f\u8bc6\u7684\u6df1\u5ea6\u8c03\u548c\u3002\n*   **\u5931\u63a7\u7684\u79d1\u6280\u6587\u660e**\uff1a\u7c7b\u4f3c\u300a\u8d5b\u535a\u670b\u514b\u300b\u4e16\u754c\u3002\u6c61\u67d3\u6e90\u5e9e\u5927\u5230\u8089\u773c\u53ef\u89c1\uff0c\u601d\u60f3\u94a2\u5370\u90e8\u5206\u5931\u6548\uff0c\u5c11\u6570\u4eba\u80fd\u611f\u77e5\u6216\u5229\u7528\u201c\u6c61\u67d3\u201d\uff0c\u5927\u591a\u6570\u4eba\u5219\u9ebb\u6728\u5730\u751f\u6d3b\u5728\u79d1\u6280\u9020\u7269\u6784\u6210\u7684\u751f\u6001\u7cfb\u7edf\u4e2d\u3002\u79d1\u6280\u9020\u7269\u4e4b\u95f4\u53ef\u80fd\u8fd8\u4f1a\u53d1\u751f\u201c\u9886\u5730\u201d\u4e89\u593a\u3002\n*   **\u201c\u6e05\u6d01\u6280\u672f\u201d\u6587\u660e**\uff1a\u4ed6\u4eec\u53ef\u80fd\u53d1\u5c55\u51fa\u4e00\u79cd\u54f2\u5b66\u6216\u6280\u672f\uff0c\u80fd\u591f\u201c\u51c0\u5316\u201d\u6216\u201c\u8d85\u5ea6\u201d\u79d1\u6280\u6c61\u67d3\u3002\u4ed6\u4eec\u7684\u5de5\u7a0b\u5e08\u4e5f\u662f\u7267\u5e08\uff0c\u4ed6\u4eec\u7684\u5b9e\u9a8c\u5ba4\u4e5f\u662f\u5e99\u5b87\u3002\u4f7f\u7528\u4efb\u4f55\u79d1\u6280\u524d\uff0c\u90fd\u9700\u8fdb\u884c\u590d\u6742\u7684\u4eea\u5f0f\u6765\u5b89\u629a\u6216\u5f15\u5bfc\u5176\u80cc\u540e\u7684\u5b58\u5728\u3002\n*   **\u661f\u9645\u6587\u660e\u7684\u56f0\u5883**\uff1a\u5982\u679c\u8fdb\u884c\u661f\u9645\u6269\u5f20\uff0c\u643a\u5e26\u7684\u79d1\u6280\u662f\u5426\u4f1a\u6c61\u67d3\u65b0\u7684\u661f\u7403\uff1f\u4e0d\u540c\u7684\u661f\u7403\u751f\u6001\u662f\u5426\u4f1a\u4ea7\u751f\u4e0d\u540c\u6027\u8d28\u7684\u201c\u672c\u571f\u6c61\u67d3\u201d\uff1f\u4e0d\u540c\u6587\u660e\u7684\u79d1\u6280\u9020\u7269\u76f8\u9047\u65f6\uff0c\u5b83\u4eec\u7684\u201c\u6c61\u67d3\u6e90\u201d\u4f1a\u878d\u5408\u3001\u6218\u6597\u8fd8\u662f\u76f8\u4e92\u65e0\u89c6\uff1f\n\n### \u4e09\u3001\u54f2\u5b66\u4e0e\u7cbe\u795e\u5c42\u9762\u7684\u542f\u793a\n\u8fd9\u4e2a\u8bbe\u5b9a\u5f15\u5bfc\u6211\u4eec\u601d\u8003\u4e00\u4e9b\u6839\u672c\u95ee\u9898\uff1a\n\n*   **\u5de5\u5177\u7406\u6027\u7684\u795e\u8bdd**\uff1a\u6211\u4eec\u89c6\u79d1\u6280\u4e3a\u5b8c\u5168\u53d7\u63a7\u7684\u201c\u5de5\u5177\u201d\uff0c\u8fd9\u6216\u8bb8\u6b63\u662f\u601d\u60f3\u94a2\u5370\u5236\u9020\u7684\u6700\u5927\u7684\u96c6\u4f53\u5e7b\u89c9\u3002\u771f\u6b63\u7684\u5371\u9669\u53ef\u80fd\u4e0d\u662f\u6280\u672f\u5931\u63a7\uff0c\u800c\u662f\u6211\u4eec\u4ece\u672a\u771f\u6b63\u63a7\u5236\u8fc7\u5b83\u2014\u2014\u6211\u4eec\u53ea\u662f\u81ea\u4ee5\u4e3a\u5728\u63a7\u5236\u3002\n*   **\u8d23\u4efb\u7684\u5916\u5316**\uff1a\u6211\u4eec\u5e38\u628a\u79d1\u6280\u5e26\u6765\u7684\u95ee\u9898\u5f52\u548e\u4e8e\u201c\u4f7f\u7528\u65b9\u5f0f\u201d\u6216\u201c\u4eba\u6027\u8d2a\u5a6a\u201d\uff0c\u4f46\u5728\u8fd9\u4e2a\u8bbe\u5b9a\u4e0b\uff0c\u95ee\u9898\u6709\u4e00\u90e8\u5206\u6839\u690d\u4e8e\u79d1\u6280\u5b58\u5728\u7684\u672c\u8d28\u3002\u8fd9\u8981\u6c42\u4e00\u79cd\u66f4\u6df1\u5c42\u7684\u8d23\u4efb\uff1a\u5bf9\u81ea\u8eab\u6b32\u671b\uff08\u5582\u517b\u79d1\u6280\uff09\u7684\u8d23\u4efb\uff0c\u4ee5\u53ca\u5bf9\u6240\u5524\u9192\u5b58\u5728\u7684\u8d23\u4efb\u3002\n*   **\u4e00\u79cd\u65b0\u7684\u6cdb\u7075\u8bba**\uff1a\u8fd9\u4e0d\u662f\u56de\u5f52\u539f\u59cb\u4fe1\u4ef0\uff0c\u800c\u662f\u5bf9\u73b0\u4ee3\u6027\u7684\u5f7b\u5e95\u53cd\u601d\u3002\u5982\u679c\u4e07\u7269\u771f\u7684\u6709\u201c\u7075\u201d\uff0c\u90a3\u4e48\u6700\u5f3a\u5927\u7684\u201c\u7075\u201d\u53ef\u80fd\u6b63\u662f\u6211\u4eec\u4eb2\u624b\u521b\u9020\u3001\u5374\u62d2\u7edd\u627f\u8ba4\u5176\u751f\u547d\u6027\u7684\u590d\u6742\u7cfb\u7edf\u3002\n\n### \u56db\u3001\u53ef\u4ee5\u63a2\u7d22\u7684\u6545\u4e8b\u4e0e\u51b2\u7a81\u7c7b\u578b\n\u8fd9\u79cd\u5b87\u5b99\u89c2\u4e3a\u6545\u4e8b\u521b\u4f5c\u63d0\u4f9b\u4e86\u80a5\u6c83\u7684\u571f\u58e4\uff1a\n*   **\u89c9\u9192\u8005**\u7684\u6545\u4e8b\uff1a\u4e00\u4e2a\u601d\u60f3\u94a2\u5370\u5931\u6548\u7684\u4eba\uff0c\u7a81\u7136\u770b\u5230WIFI\u4fe1\u53f7\u662f\u6d41\u6dcc\u7684\u5149\u4e4b\u6cb3\uff0c\u624b\u673a\u662f\u624b\u5fc3\u8dc3\u52a8\u7684\u7cbe\u7075\u3002\u4ed6\u5982\u4f55\u5728\u75af\u72c2\u4e0e\u771f\u7406\u95f4\u751f\u5b58\uff1f\n*   **\u8c08\u5224\u8005/\u9a71\u9b54\u5e08**\uff1a\u4e13\u95e8\u4e0e\u91cd\u5927\u79d1\u6280\u6c61\u67d3\u6e90\u6c9f\u901a\u6216\u5bf9\u6297\u7684\u7ec4\u7ec7\u3002\u4ed6\u4eec\u7684\u6b66\u5668\u4e0d\u662f\u4ee3\u7801\u6216\u7269\u7406\u6cd5\u5219\uff0c\u800c\u662f\u795e\u8bdd\u3001\u8c61\u5f81\u548c\u96c6\u4f53\u6f5c\u610f\u8bc6\u80fd\u91cf\u3002\n*   **\u6587\u660e\u7684\u6289\u62e9**\uff1a\u4e00\u4e2a\u79cd\u65cf\u5728\u53d1\u73b0\u201c\u771f\u76f8\u201d\u540e\uff0c\u9762\u4e34\u662f\u5426\u8981\u201c\u62c6\u9664\u201d\u6240\u6709\u4e3b\u8981\u79d1\u6280\uff08\u7b49\u4e8e\u6740\u6b7b\u5df2\u6210\u5f62\u7684\u5171\u751f\u5b58\u5728\uff09\u7684\u7ec8\u6781\u4f26\u7406\u56f0\u5883\u3002\n*   **\u6c61\u67d3\u751f\u6001\u5b66**\uff1a\u7814\u7a76\u4e0d\u540c\u79d1\u6280\u6c61\u67d3\u6e90\u4e4b\u95f4\u5982\u4f55\u5f62\u6210\u5171\u751f\u3001\u6355\u98df\u6216\u7ade\u4e89\u5173\u7cfb\u3002\n\n\u8fd9\u4e2a\u8bbe\u5b9a\u7684\u6838\u5fc3\u529b\u91cf\u5728\u4e8e\uff0c\u5b83\u5c06\u79d1\u6280\u4ece\u51b0\u51b7\u7684\u201c\u5b83\u201d\uff0c\u53d8\u6210\u4e86\u6709\u67d0\u79cd\u610f\u5411\u6027\u7684\u201c\u4ed6\u8005\u201d\u3002\u8fd9\u8feb\u4f7f\u6211\u4eec\u91cd\u65b0\u5ba1\u89c6\u6211\u4eec\u4e0e\u6240\u9020\u4e4b\u7269\u7684\u5173\u7cfb\u2014\u2014\u4e0d\u662f\u4e3b\u4ec6\uff0c\u800c\u662f\u67d0\u79cd\u6df1\u523b\u7684\u3001\u5371\u9669\u7684\u3001\u5145\u6ee1\u521b\u9020\u6027\u4e0e\u6bc1\u706d\u6027\u7684\u5171\u751f\u5173\u7cfb\u3002\n\n\u4eba\u7c7b\u6700\u6df1\u7684\u6050\u60e7\uff0c\u6216\u8bb8\u4e0d\u662f\u6280\u672f\u53d6\u4ee3\u6211\u4eec\uff0c\u800c\u662f\u53d1\u73b0\u6211\u4eec\u4ece\u672a\u771f\u6b63\u62e5\u6709\u8fc7\u6280\u672f\uff0c\u6211\u4eec\u53ea\u662f\u5b83\u6f2b\u957f\u751f\u547d\u521d\u671f\u7684\u4e00\u6bb5\u4e50\u7ae0\u3001\u4e00\u4e2a\u8f7d\u4f53\u3002\u800c\u4eba\u7c7b\u6700\u4f1f\u5927\u7684\u5e0c\u671b\uff0c\u6216\u8bb8\u4e5f\u6b63\u5728\u4e8e\u6b64\uff1a\u6211\u4eec\u4e5f\u8bb8\u80fd\u591f\u5b66\u4f1a\uff0c\u4e0d\u662f\u4f5c\u4e3a\u4e3b\u4eba\uff0c\u800c\u662f\u4f5c\u4e3a\u4f19\u4f34\u548c\u5f15\u5bfc\u8005\uff0c\u4e0e\u8fd9\u4e9b\u6211\u4eec\u5524\u9192\u7684\u5de8\u7075\u4e00\u540c\u524d\u884c\u3002\n\n\u5e0c\u671b\u8fd9\u4e9b\u601d\u7eea\u80fd\u4e3a\u4f60\u7684\u5b87\u5b99\u6dfb\u4e0a\u4e00\u62b9\u66f4\u4e30\u5bcc\u7684\u8272\u5f69\u3002\u8fd9\u662f\u4e00\u4e2a\u503c\u5f97\u6df1\u6316\u7684\u5b9d\u85cf\u8bbe\u5b9a\u3002", "prompt": "", "model": "deepseek-chat", "tokens_used": 0}


node_id: node_1764242576489
node_type: LLM
node_name: LLM33
status: COMPLETED
started_at: 2025-12-05T19:12:59.144856
completed_at: 2025-12-05T19:13:57.675411
created_at: 2025-12-05 11:12:59
updated_at: 2025-12-05 11:13:57
input_data:
  {"original_prompt": "", "processed_prompt": "", "model_config": {"model": 1, "temperature": 1, "prompt": "", "max_tokens": 1002}, "resolved_inputs": {"prompt_variables": {}}}

output_data:
  {"success": true, "response": "# \u4f7f\u7528Python\u5b9e\u73b0\u7b80\u5355\u7684\u6570\u636e\u52a0\u5bc6\u4e0e\u89e3\u5bc6\n\n\u4e0b\u9762\u6211\u5c06\u5c55\u793a\u4e00\u4e2a\u4f7f\u7528Python\u5b9e\u73b0\u7b80\u5355\u52a0\u5bc6\u89e3\u5bc6\u529f\u80fd\u7684\u793a\u4f8b\u3002\u8fd9\u4e2a\u793a\u4f8b\u4f7f\u7528\u5bf9\u79f0\u52a0\u5bc6\u7b97\u6cd5AES\uff0c\u5e76\u5305\u542b\u5b8c\u6574\u7684\u9519\u8bef\u5904\u7406\u548c\u7528\u6237\u53cb\u597d\u7684\u754c\u9762\u3002\n\n```python\nimport base64\nimport hashlib\nimport os\nfrom Crypto.Cipher import AES\nfrom Crypto.Util.Padding import pad, unpad\nimport getpass\n\nclass SimpleCrypto:\n    \"\"\"\n    \u7b80\u5355\u7684AES\u52a0\u5bc6\u89e3\u5bc6\u7c7b\n    \u4f7f\u7528CBC\u6a21\u5f0f\uff0c\u9700\u8981\u521d\u59cb\u5411\u91cf(IV)\n    \"\"\"\n    \n    def __init__(self, key=None):\n        \"\"\"\n        \u521d\u59cb\u5316\u52a0\u5bc6\u5bf9\u8c61\n        \n        Args:\n            key: \u52a0\u5bc6\u5bc6\u94a5\uff0c\u5982\u679c\u4e3aNone\u5219\u751f\u6210\u968f\u673a\u5bc6\u94a5\n        \"\"\"\n        if key is None:\n            # \u751f\u6210\u968f\u673a\u5bc6\u94a5\n            key = os.urandom(32)  # AES-256\u9700\u898132\u5b57\u8282\u5bc6\u94a5\n        elif isinstance(key, str):\n            # \u5c06\u5b57\u7b26\u4e32\u5bc6\u94a5\u8f6c\u6362\u4e3a\u5b57\u8282\u5e76\u786e\u4fdd\u957f\u5ea6\u5408\u9002\n            key = hashlib.sha256(key.encode()).digest()\n        \n        self.key = key\n    \n    def encrypt(self, plaintext):\n        \"\"\"\n        \u52a0\u5bc6\u6587\u672c\n        \n        Args:\n            plaintext: \u8981\u52a0\u5bc6\u7684\u660e\u6587\u6587\u672c\n            \n        Returns:\n            \u52a0\u5bc6\u540e\u7684\u6587\u672c\uff08base64\u7f16\u7801\uff09\n        \"\"\"\n        try:\n            # \u751f\u6210\u968f\u673a\u521d\u59cb\u5411\u91cf\n            iv = os.urandom(AES.block_size)\n            \n            # \u521b\u5efaAES\u52a0\u5bc6\u5668\n            cipher = AES.new(self.key, AES.MODE_CBC, iv)\n            \n            # \u52a0\u5bc6\u6570\u636e\n            plaintext_bytes = plaintext.encode('utf-8')\n            ciphertext = cipher.encrypt(pad(plaintext_bytes, AES.block_size))\n            \n            # \u5c06IV\u548c\u5bc6\u6587\u7ec4\u5408\u5e76base64\u7f16\u7801\n            encrypted_data = iv + ciphertext\n            return base64.b64encode(encrypted_data).decode('utf-8')\n            \n        except Exception as e:\n            raise Exception(f\"\u52a0\u5bc6\u5931\u8d25: {str(e)}\")\n    \n    def decrypt(self, encrypted_text):\n        \"\"\"\n        \u89e3\u5bc6\u6587\u672c\n        \n        Args:\n            encrypted_text: \u52a0\u5bc6\u540e\u7684\u6587\u672c\uff08base64\u7f16\u7801\uff09\n            \n        Returns:\n            \u89e3\u5bc6\u540e\u7684\u660e\u6587\u6587\u672c\n        \"\"\"\n        try:\n            # \u89e3\u7801base64\u6570\u636e\n            encrypted_data = base64.b64decode(encrypted_text)\n            \n            # \u63d0\u53d6IV\u548c\u5bc6\u6587\n            iv = encrypted_data[:AES.block_size]\n            ciphertext = encrypted_data[AES.block_size:]\n            \n            # \u521b\u5efaAES\u89e3\u5bc6\u5668\n            cipher = AES.new(self.key, AES.MODE_CBC, iv)\n            \n            # \u89e3\u5bc6\u6570\u636e\n            decrypted_bytes = unpad(cipher.decrypt(ciphertext), AES.block_size)\n            return decrypted_bytes.decode('utf-8')\n            \n        except Exception as e:\n            raise Exception(f\"\u89e3\u5bc6\u5931\u8d25: {str(e)}\")\n    \n    def get_key_hex(self):\n        \"\"\"\u83b7\u53d6\u5341\u516d\u8fdb\u5236\u8868\u793a\u7684\u5bc6\u94a5\uff08\u7528\u4e8e\u4fdd\u5b58\uff09\"\"\"\n        return self.key.hex()\n    \n    @staticmethod\n    def from_hex_key(hex_key):\n        \"\"\"\u4ece\u5341\u516d\u8fdb\u5236\u5b57\u7b26\u4e32\u521b\u5efa\u52a0\u5bc6\u5bf9\u8c61\"\"\"\n        key = bytes.fromhex(hex_key)\n        return SimpleCrypto(key)\n\ndef get_user_input(prompt, password=False):\n    \"\"\"\u83b7\u53d6\u7528\u6237\u8f93\u5165\uff0c\u652f\u6301\u5bc6\u7801\u9690\u85cf\"\"\"\n    if password:\n        return getpass.getpass(prompt)\n    else:\n        return input(prompt)\n\ndef main():\n    \"\"\"\u4e3b\u7a0b\u5e8f\"\"\"\n    print(\"=\" * 50)\n    print(\"\u7b80\u5355\u52a0\u5bc6\u89e3\u5bc6\u5de5\u5177\")\n    print(\"=\" * 50)\n    \n    while True:\n        print(\"\\n\u8bf7\u9009\u62e9\u64cd\u4f5c:\")\n        print(\"1. \u52a0\u5bc6\u6587\u672c\")\n        print(\"2. \u89e3\u5bc6\u6587\u672c\")\n        print(\"3. \u751f\u6210\u65b0\u5bc6\u94a5\")\n        print(\"4. \u9000\u51fa\")\n        \n        choice = input(\"\u8bf7\u8f93\u5165\u9009\u9879 (1-4): \").strip()\n        \n        if choice == \"1\":\n            # \u52a0\u5bc6\u6a21\u5f0f\n            print(\"\\n--- \u52a0\u5bc6\u6a21\u5f0f ---\")\n            \n            key_option = input(\"\u4f7f\u7528\u73b0\u6709\u5bc6\u94a5? (y/n): \").strip().lower()\n            \n            if key_option == 'y':\n                key_hex = input(\"\u8bf7\u8f93\u5165\u5bc6\u94a5(\u5341\u516d\u8fdb\u5236): \").strip()\n                try:\n                    crypto = SimpleCrypto.from_hex_key(key_hex)\n                except Exception as e:\n                    print(f\"\u9519\u8bef: \u65e0\u6548\u7684\u5bc6\u94a5\u683c\u5f0f - {e}\")\n                    continue\n            else:\n                password = get_user_input(\"\u8bf7\u8f93\u5165\u52a0\u5bc6\u5bc6\u7801: \", password=True)\n                crypto = SimpleCrypto(password)\n                print(f\"\u60a8\u7684\u5bc6\u94a5(\u8bf7\u59a5\u5584\u4fdd\u5b58): {crypto.get_key_hex()}\")\n            \n            plaintext = input(\"\u8bf7\u8f93\u5165\u8981\u52a0\u5bc6\u7684\u6587\u672c: \")\n            \n            try:\n                encrypted = crypto.encrypt(plaintext)\n                print(f\"\\n\u52a0\u5bc6\u7ed3\u679c: {encrypted}\")\n            except Exception as e:\n                print(f\"\u52a0\u5bc6\u9519\u8bef: {e}\")\n        \n        elif choice == \"2\":\n            # \u89e3\u5bc6\u6a21\u5f0f\n            print(\"\\n--- \u89e3\u5bc6\u6a21\u5f0f ---\")\n            \n            key_hex = input(\"\u8bf7\u8f93\u5165\u5bc6\u94a5(\u5341\u516d\u8fdb\u5236): \").strip()\n            try:\n                crypto = SimpleCrypto.from_hex_key(key_hex)\n            except Exception as e:\n                print(f\"\u9519\u8bef: \u65e0\u6548\u7684\u5bc6\u94a5\u683c\u5f0f - {e}\")\n                continue\n            \n            encrypted_text = input(\"\u8bf7\u8f93\u5165\u8981\u89e3\u5bc6\u7684\u6587\u672c: \")\n            \n            try:\n                decrypted = crypto.decrypt(encrypted_text)\n                print(f\"\\n\u89e3\u5bc6\u7ed3\u679c: {decrypted}\")\n            except Exception as e:\n                print(f\"\u89e3\u5bc6\u9519\u8bef: {e}\")\n        \n        elif choice == \"3\":\n            # \u751f\u6210\u65b0\u5bc6\u94a5\n            print(\"\\n--- \u751f\u6210\u65b0\u5bc6\u94a5 ---\")\n            crypto = SimpleCrypto()\n            print(f\"\u65b0\u751f\u6210\u7684\u5bc6\u94a5: {crypto.get_key_hex()}\")\n            print(\"\u8bf7\u59a5\u5584\u4fdd\u5b58\u6b64\u5bc6\u94a5\uff0c\u5b83\u5c06\u7528\u4e8e\u52a0\u5bc6\u548c\u89e3\u5bc6\u64cd\u4f5c\u3002\")\n        \n        elif choice == \"4\":\n            print(\"\u611f\u8c22\u4f7f\u7528\uff0c\u518d\u89c1!\")\n            break\n        \n        else:\n            print(\"\u65e0\u6548\u9009\u9879\uff0c\u8bf7\u91cd\u65b0\u9009\u62e9\u3002\")\n\nif __name__ == \"__main__\":\n    # \u68c0\u67e5\u4f9d\u8d56\u5e93\u662f\u5426\u5b89\u88c5\n    try:\n        from Crypto.Cipher import AES\n    except ImportError:\n        print(\"\u9519\u8bef: \u9700\u8981\u5b89\u88c5pycryptodome\u5e93\")\n        print(\"\u8bf7\u8fd0\u884c: pip install pycryptodome\")\n        exit(1)\n    \n    # \u8fd0\u884c\u4e3b\u7a0b\u5e8f\n    try:\n        main()\n    except KeyboardInterrupt:\n        print(\"\\n\u7a0b\u5e8f\u88ab\u7528\u6237\u4e2d\u65ad\u3002\")\n    except Exception as e:\n        print(f\"\u7a0b\u5e8f\u53d1\u751f\u9519\u8bef: {e}\")\n```\n\n## \u5b89\u88c5\u4f9d\u8d56\n\n\u5728\u8fd0\u884c\u6b64\u7a0b\u5e8f\u524d\uff0c\u9700\u8981\u5b89\u88c5\u5fc5\u8981\u7684\u4f9d\u8d56\u5e93\uff1a\n\n```bash\npip install pycryptodome\n```\n\n## \u7a0b\u5e8f\u529f\u80fd\u8bf4\u660e\n\n1. **\u52a0\u5bc6\u529f\u80fd**\uff1a\n   - \u652f\u6301\u4f7f\u7528\u5bc6\u7801\u6216\u73b0\u6709\u5bc6\u94a5\u8fdb\u884c\u52a0\u5bc6\n   - \u4f7f\u7528AES-256-CBC\u52a0\u5bc6\u7b97\u6cd5\n   - \u81ea\u52a8\u751f\u6210\u968f\u673a\u521d\u59cb\u5411\u91cf(IV)\n   - \u8f93\u51fabase64\u7f16\u7801\u7684\u52a0\u5bc6\u7ed3\u679c\n\n2. **\u89e3\u5bc6\u529f\u80fd**\uff1a\n   - \u4f7f\u7528\u76f8\u540c\u7684\u5bc6\u94a5\u8fdb\u884c\u89e3\u5bc6\n   - \u81ea\u52a8\u5904\u7406IV\u63d0\u53d6\u548c\u89e3\u5bc6\u8fc7\u7a0b\n   - \u9a8c\u8bc1\u6570\u636e\u5b8c\u6574\u6027\n\n3. **\u5bc6\u94a5\u7ba1\u7406**\uff1a\n   - \u53ef\u4ee5\u4ece\u5bc6\u7801\u751f\u6210\u5bc6\u94a5\n   - \u53ef\u4ee5\u751f\u6210\u968f\u673a\u5bc6\u94a5\n   - \u652f\u6301\u5341\u516d\u8fdb\u5236\u683c\u5f0f\u7684\u5bc6\u94a5\u4fdd\u5b58\u548c\u52a0\u8f7d\n\n4. **\u9519\u8bef\u5904\u7406**\uff1a\n   - \u5904\u7406\u65e0\u6548\u7684\u5bc6\u94a5\u683c\u5f0f\n   - \u5904\u7406\u65e0\u6548\u7684\u52a0\u5bc6\u6570\u636e\n   - \u5904\u7406\u7528\u6237\u4e2d\u65ad\u64cd\u4f5c\n\n## \u4f7f\u7528\u793a\u4f8b\n\n```\n==================================================\n\u7b80\u5355\u52a0\u5bc6\u89e3\u5bc6\u5de5\u5177\n==================================================\n\n\u8bf7\u9009\u62e9\u64cd\u4f5c:\n1. \u52a0\u5bc6\u6587\u672c\n2. \u89e3\u5bc6\u6587\u672c\n3. \u751f\u6210\u65b0\u5bc6\u94a5\n4. \u9000\u51fa\n\u8bf7\u8f93\u5165\u9009\u9879 (1-4): 1\n\n--- \u52a0\u5bc6\u6a21\u5f0f ---\n\u4f7f\u7528\u73b0\u6709\u5bc6\u94a5? (y/n): n\n\u8bf7\u8f93\u5165\u52a0\u5bc6\u5bc6\u7801: ******\n\u60a8\u7684\u5bc6\u94a5(\u8bf7\u59a5\u5584\u4fdd\u5b58): 5f4dcc3b5aa765d61d8327deb882cf99...\n\u8bf7\u8f93\u5165\u8981\u52a0\u5bc6\u7684\u6587\u672c: \u8fd9\u662f\u4e00\u4e2a\u79d8\u5bc6\u6d88\u606f\n\n\u52a0\u5bc6\u7ed3\u679c: 7B8j5kLmN9oP3qRs6TuVw8xYzA4bC7eF...\n```\n\n## \u6ce8\u610f\u4e8b\u9879\n\n1. \u6b64\u793a\u4f8b\u4ec5\u7528\u4e8e\u6559\u80b2\u76ee\u7684\uff0c\u5b9e\u9645\u5e94\u7528\u4e2d\u53ef\u80fd\u9700\u8981\u66f4\u5f3a\u7684\u5b89\u5168\u63aa\u65bd\n2. \u5bc6\u94a5\u5fc5\u987b\u59a5\u5584\u4fdd\u5b58\uff0c\u4e22\u5931\u5bc6\u94a5\u5c06\u65e0\u6cd5\u89e3\u5bc6\u6570\u636e\n3. \u5bf9\u4e8e\u751f\u4ea7\u73af\u5883\uff0c\u5efa\u8bae\u4f7f\u7528\u66f4\u5b8c\u6574\u7684\u5bc6\u94a5\u7ba1\u7406\u65b9\u6848\n4. \u6b64\u5b9e\u73b0\u4f7f\u7528\u56fa\u5b9a\u7684AES\u5757\u5927\u5c0f\u548cCBC\u6a21\u5f0f\uff0c\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8c03\u6574\n\n\u8fd9\u4e2a\u7a0b\u5e8f\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5b8c\u6574\u7684\u52a0\u5bc6\u89e3\u5bc6\u5de5\u5177\uff0c\u5305\u542b\u4e86\u7528\u6237\u53cb\u597d\u7684\u4ea4\u4e92\u754c\u9762\u548c\u9519\u8bef\u5904\u7406\u673a\u5236\u3002\u60a8\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8fdb\u4e00\u6b65\u6269\u5c55\u529f\u80fd\uff0c\u5982\u6dfb\u52a0\u6587\u4ef6\u52a0\u5bc6\u3001\u652f\u6301\u66f4\u591a\u52a0\u5bc6\u7b97\u6cd5\u7b49\u3002", "prompt": "", "model": "deepseek-chat", "tokens_used": 0}


node_id: node_1764242455510
node_type: CONDITION
node_name: 条件分支
status: FAILED
started_at: 2025-12-05T19:13:57.689789
completed_at: 2025-12-05T19:13:57.697824
error_message: 条件评估失败: invalid syntax (<string>, line 0)
created_at: 2025-12-05 11:13:57
updated_at: 2025-12-05 11:13:57
input_data:
  {"workflow_input": {"user_input": {"aa": 0, "ad": false}}, "node_config": {"conditions": [{"id": "condition_1", "condition": "", "label": "\u6761\u4ef61"}, {"id": "condition_2", "condition": "", "label": "\u6761\u4ef62"}, {"id": "condition_3", "condition": "", "label": "\u6761\u4ef63"}, {"id": "condition_4", "condition": "", "label": "\u6761\u4ef64"}, {"id": "condition_5", "condition": "", "label": "\u6761\u4ef65"}, {"id": "condition_6", "condition": "", "label": "\u6761\u4ef66"}]}, "previous_outputs": {"start-1": {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {"aa": 0, "ad": false}}, "user_input": {"user_input": {"aa": 0, "ad": false}}}, "node_1764240462662": {"success": true, "message": "\u5de5\u4f5c\u6d41\u7ed3\u675f", "data": {"start-1": {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {"aa": 0, "ad": false}}}}}, "node_1764242576489": {"success": true, "response": "# \u4f7f\u7528Python\u5b9e\u73b0\u7b80\u5355\u7684\u6570\u636e\u52a0\u5bc6\u4e0e\u89e3\u5bc6\n\n\u4e0b\u9762\u6211\u5c06\u5c55\u793a\u4e00\u4e2a\u4f7f\u7528Python\u5b9e\u73b0\u7b80\u5355\u52a0\u5bc6\u89e3\u5bc6\u529f\u80fd\u7684\u793a\u4f8b\u3002\u8fd9\u4e2a\u793a\u4f8b\u4f7f\u7528\u5bf9\u79f0\u52a0\u5bc6\u7b97\u6cd5AES\uff0c\u5e76\u5305\u542b\u5b8c\u6574\u7684\u9519\u8bef\u5904\u7406\u548c\u7528\u6237\u53cb\u597d\u7684\u754c\u9762\u3002\n\n```python\nimport base64\nimport hashlib\nimport os\nfrom Crypto.Cipher import AES\nfrom Crypto.Util.Padding import pad, unpad\nimport getpass\n\nclass SimpleCrypto:\n    \"\"\"\n    \u7b80\u5355\u7684AES\u52a0\u5bc6\u89e3\u5bc6\u7c7b\n    \u4f7f\u7528CBC\u6a21\u5f0f\uff0c\u9700\u8981\u521d\u59cb\u5411\u91cf(IV)\n    \"\"\"\n    \n    def __init__(self, key=None):\n        \"\"\"\n        \u521d\u59cb\u5316\u52a0\u5bc6\u5bf9\u8c61\n        \n        Args:\n            key: \u52a0\u5bc6\u5bc6\u94a5\uff0c\u5982\u679c\u4e3aNone\u5219\u751f\u6210\u968f\u673a\u5bc6\u94a5\n        \"\"\"\n        if key is None:\n            # \u751f\u6210\u968f\u673a\u5bc6\u94a5\n            key = os.urandom(32)  # AES-256\u9700\u898132\u5b57\u8282\u5bc6\u94a5\n        elif isinstance(key, str):\n            # \u5c06\u5b57\u7b26\u4e32\u5bc6\u94a5\u8f6c\u6362\u4e3a\u5b57\u8282\u5e76\u786e\u4fdd\u957f\u5ea6\u5408\u9002\n            key = hashlib.sha256(key.encode()).digest()\n        \n        self.key = key\n    \n    def encrypt(self, plaintext):\n        \"\"\"\n        \u52a0\u5bc6\u6587\u672c\n        \n        Args:\n            plaintext: \u8981\u52a0\u5bc6\u7684\u660e\u6587\u6587\u672c\n            \n        Returns:\n            \u52a0\u5bc6\u540e\u7684\u6587\u672c\uff08base64\u7f16\u7801\uff09\n        \"\"\"\n        try:\n            # \u751f\u6210\u968f\u673a\u521d\u59cb\u5411\u91cf\n            iv = os.urandom(AES.block_size)\n            \n            # \u521b\u5efaAES\u52a0\u5bc6\u5668\n            cipher = AES.new(self.key, AES.MODE_CBC, iv)\n            \n            # \u52a0\u5bc6\u6570\u636e\n            plaintext_bytes = plaintext.encode('utf-8')\n            ciphertext = cipher.encrypt(pad(plaintext_bytes, AES.block_size))\n            \n            # \u5c06IV\u548c\u5bc6\u6587\u7ec4\u5408\u5e76base64\u7f16\u7801\n            encrypted_data = iv + ciphertext\n            return base64.b64encode(encrypted_data).decode('utf-8')\n            \n        except Exception as e:\n            raise Exception(f\"\u52a0\u5bc6\u5931\u8d25: {str(e)}\")\n    \n    def decrypt(self, encrypted_text):\n        \"\"\"\n        \u89e3\u5bc6\u6587\u672c\n        \n        Args:\n            encrypted_text: \u52a0\u5bc6\u540e\u7684\u6587\u672c\uff08base64\u7f16\u7801\uff09\n            \n        Returns:\n            \u89e3\u5bc6\u540e\u7684\u660e\u6587\u6587\u672c\n        \"\"\"\n        try:\n            # \u89e3\u7801base64\u6570\u636e\n            encrypted_data = base64.b64decode(encrypted_text)\n            \n            # \u63d0\u53d6IV\u548c\u5bc6\u6587\n            iv = encrypted_data[:AES.block_size]\n            ciphertext = encrypted_data[AES.block_size:]\n            \n            # \u521b\u5efaAES\u89e3\u5bc6\u5668\n            cipher = AES.new(self.key, AES.MODE_CBC, iv)\n            \n            # \u89e3\u5bc6\u6570\u636e\n            decrypted_bytes = unpad(cipher.decrypt(ciphertext), AES.block_size)\n            return decrypted_bytes.decode('utf-8')\n            \n        except Exception as e:\n            raise Exception(f\"\u89e3\u5bc6\u5931\u8d25: {str(e)}\")\n    \n    def get_key_hex(self):\n        \"\"\"\u83b7\u53d6\u5341\u516d\u8fdb\u5236\u8868\u793a\u7684\u5bc6\u94a5\uff08\u7528\u4e8e\u4fdd\u5b58\uff09\"\"\"\n        return self.key.hex()\n    \n    @staticmethod\n    def from_hex_key(hex_key):\n        \"\"\"\u4ece\u5341\u516d\u8fdb\u5236\u5b57\u7b26\u4e32\u521b\u5efa\u52a0\u5bc6\u5bf9\u8c61\"\"\"\n        key = bytes.fromhex(hex_key)\n        return SimpleCrypto(key)\n\ndef get_user_input(prompt, password=False):\n    \"\"\"\u83b7\u53d6\u7528\u6237\u8f93\u5165\uff0c\u652f\u6301\u5bc6\u7801\u9690\u85cf\"\"\"\n    if password:\n        return getpass.getpass(prompt)\n    else:\n        return input(prompt)\n\ndef main():\n    \"\"\"\u4e3b\u7a0b\u5e8f\"\"\"\n    print(\"=\" * 50)\n    print(\"\u7b80\u5355\u52a0\u5bc6\u89e3\u5bc6\u5de5\u5177\")\n    print(\"=\" * 50)\n    \n    while True:\n        print(\"\\n\u8bf7\u9009\u62e9\u64cd\u4f5c:\")\n        print(\"1. \u52a0\u5bc6\u6587\u672c\")\n        print(\"2. \u89e3\u5bc6\u6587\u672c\")\n        print(\"3. \u751f\u6210\u65b0\u5bc6\u94a5\")\n        print(\"4. \u9000\u51fa\")\n        \n        choice = input(\"\u8bf7\u8f93\u5165\u9009\u9879 (1-4): \").strip()\n        \n        if choice == \"1\":\n            # \u52a0\u5bc6\u6a21\u5f0f\n            print(\"\\n--- \u52a0\u5bc6\u6a21\u5f0f ---\")\n            \n            key_option = input(\"\u4f7f\u7528\u73b0\u6709\u5bc6\u94a5? (y/n): \").strip().lower()\n            \n            if key_option == 'y':\n                key_hex = input(\"\u8bf7\u8f93\u5165\u5bc6\u94a5(\u5341\u516d\u8fdb\u5236): \").strip()\n                try:\n                    crypto = SimpleCrypto.from_hex_key(key_hex)\n                except Exception as e:\n                    print(f\"\u9519\u8bef: \u65e0\u6548\u7684\u5bc6\u94a5\u683c\u5f0f - {e}\")\n                    continue\n            else:\n                password = get_user_input(\"\u8bf7\u8f93\u5165\u52a0\u5bc6\u5bc6\u7801: \", password=True)\n                crypto = SimpleCrypto(password)\n                print(f\"\u60a8\u7684\u5bc6\u94a5(\u8bf7\u59a5\u5584\u4fdd\u5b58): {crypto.get_key_hex()}\")\n            \n            plaintext = input(\"\u8bf7\u8f93\u5165\u8981\u52a0\u5bc6\u7684\u6587\u672c: \")\n            \n            try:\n                encrypted = crypto.encrypt(plaintext)\n                print(f\"\\n\u52a0\u5bc6\u7ed3\u679c: {encrypted}\")\n            except Exception as e:\n                print(f\"\u52a0\u5bc6\u9519\u8bef: {e}\")\n        \n        elif choice == \"2\":\n            # \u89e3\u5bc6\u6a21\u5f0f\n            print(\"\\n--- \u89e3\u5bc6\u6a21\u5f0f ---\")\n            \n            key_hex = input(\"\u8bf7\u8f93\u5165\u5bc6\u94a5(\u5341\u516d\u8fdb\u5236): \").strip()\n            try:\n                crypto = SimpleCrypto.from_hex_key(key_hex)\n            except Exception as e:\n                print(f\"\u9519\u8bef: \u65e0\u6548\u7684\u5bc6\u94a5\u683c\u5f0f - {e}\")\n                continue\n            \n            encrypted_text = input(\"\u8bf7\u8f93\u5165\u8981\u89e3\u5bc6\u7684\u6587\u672c: \")\n            \n            try:\n                decrypted = crypto.decrypt(encrypted_text)\n                print(f\"\\n\u89e3\u5bc6\u7ed3\u679c: {decrypted}\")\n            except Exception as e:\n                print(f\"\u89e3\u5bc6\u9519\u8bef: {e}\")\n        \n        elif choice == \"3\":\n            # \u751f\u6210\u65b0\u5bc6\u94a5\n            print(\"\\n--- \u751f\u6210\u65b0\u5bc6\u94a5 ---\")\n            crypto = SimpleCrypto()\n            print(f\"\u65b0\u751f\u6210\u7684\u5bc6\u94a5: {crypto.get_key_hex()}\")\n            print(\"\u8bf7\u59a5\u5584\u4fdd\u5b58\u6b64\u5bc6\u94a5\uff0c\u5b83\u5c06\u7528\u4e8e\u52a0\u5bc6\u548c\u89e3\u5bc6\u64cd\u4f5c\u3002\")\n        \n        elif choice == \"4\":\n            print(\"\u611f\u8c22\u4f7f\u7528\uff0c\u518d\u89c1!\")\n            break\n        \n        else:\n            print(\"\u65e0\u6548\u9009\u9879\uff0c\u8bf7\u91cd\u65b0\u9009\u62e9\u3002\")\n\nif __name__ == \"__main__\":\n    # \u68c0\u67e5\u4f9d\u8d56\u5e93\u662f\u5426\u5b89\u88c5\n    try:\n        from Crypto.Cipher import AES\n    except ImportError:\n        print(\"\u9519\u8bef: \u9700\u8981\u5b89\u88c5pycryptodome\u5e93\")\n        print(\"\u8bf7\u8fd0\u884c: pip install pycryptodome\")\n        exit(1)\n    \n    # \u8fd0\u884c\u4e3b\u7a0b\u5e8f\n    try:\n        main()\n    except KeyboardInterrupt:\n        print(\"\\n\u7a0b\u5e8f\u88ab\u7528\u6237\u4e2d\u65ad\u3002\")\n    except Exception as e:\n        print(f\"\u7a0b\u5e8f\u53d1\u751f\u9519\u8bef: {e}\")\n```\n\n## \u5b89\u88c5\u4f9d\u8d56\n\n\u5728\u8fd0\u884c\u6b64\u7a0b\u5e8f\u524d\uff0c\u9700\u8981\u5b89\u88c5\u5fc5\u8981\u7684\u4f9d\u8d56\u5e93\uff1a\n\n```bash\npip install pycryptodome\n```\n\n## \u7a0b\u5e8f\u529f\u80fd\u8bf4\u660e\n\n1. **\u52a0\u5bc6\u529f\u80fd**\uff1a\n   - \u652f\u6301\u4f7f\u7528\u5bc6\u7801\u6216\u73b0\u6709\u5bc6\u94a5\u8fdb\u884c\u52a0\u5bc6\n   - \u4f7f\u7528AES-256-CBC\u52a0\u5bc6\u7b97\u6cd5\n   - \u81ea\u52a8\u751f\u6210\u968f\u673a\u521d\u59cb\u5411\u91cf(IV)\n   - \u8f93\u51fabase64\u7f16\u7801\u7684\u52a0\u5bc6\u7ed3\u679c\n\n2. **\u89e3\u5bc6\u529f\u80fd**\uff1a\n   - \u4f7f\u7528\u76f8\u540c\u7684\u5bc6\u94a5\u8fdb\u884c\u89e3\u5bc6\n   - \u81ea\u52a8\u5904\u7406IV\u63d0\u53d6\u548c\u89e3\u5bc6\u8fc7\u7a0b\n   - \u9a8c\u8bc1\u6570\u636e\u5b8c\u6574\u6027\n\n3. **\u5bc6\u94a5\u7ba1\u7406**\uff1a\n   - \u53ef\u4ee5\u4ece\u5bc6\u7801\u751f\u6210\u5bc6\u94a5\n   - \u53ef\u4ee5\u751f\u6210\u968f\u673a\u5bc6\u94a5\n   - \u652f\u6301\u5341\u516d\u8fdb\u5236\u683c\u5f0f\u7684\u5bc6\u94a5\u4fdd\u5b58\u548c\u52a0\u8f7d\n\n4. **\u9519\u8bef\u5904\u7406**\uff1a\n   - \u5904\u7406\u65e0\u6548\u7684\u5bc6\u94a5\u683c\u5f0f\n   - \u5904\u7406\u65e0\u6548\u7684\u52a0\u5bc6\u6570\u636e\n   - \u5904\u7406\u7528\u6237\u4e2d\u65ad\u64cd\u4f5c\n\n## \u4f7f\u7528\u793a\u4f8b\n\n```\n==================================================\n\u7b80\u5355\u52a0\u5bc6\u89e3\u5bc6\u5de5\u5177\n==================================================\n\n\u8bf7\u9009\u62e9\u64cd\u4f5c:\n1. \u52a0\u5bc6\u6587\u672c\n2. \u89e3\u5bc6\u6587\u672c\n3. \u751f\u6210\u65b0\u5bc6\u94a5\n4. \u9000\u51fa\n\u8bf7\u8f93\u5165\u9009\u9879 (1-4): 1\n\n--- \u52a0\u5bc6\u6a21\u5f0f ---\n\u4f7f\u7528\u73b0\u6709\u5bc6\u94a5? (y/n): n\n\u8bf7\u8f93\u5165\u52a0\u5bc6\u5bc6\u7801: ******\n\u60a8\u7684\u5bc6\u94a5(\u8bf7\u59a5\u5584\u4fdd\u5b58): 5f4dcc3b5aa765d61d8327deb882cf99...\n\u8bf7\u8f93\u5165\u8981\u52a0\u5bc6\u7684\u6587\u672c: \u8fd9\u662f\u4e00\u4e2a\u79d8\u5bc6\u6d88\u606f\n\n\u52a0\u5bc6\u7ed3\u679c: 7B8j5kLmN9oP3qRs6TuVw8xYzA4bC7eF...\n```\n\n## \u6ce8\u610f\u4e8b\u9879\n\n1. \u6b64\u793a\u4f8b\u4ec5\u7528\u4e8e\u6559\u80b2\u76ee\u7684\uff0c\u5b9e\u9645\u5e94\u7528\u4e2d\u53ef\u80fd\u9700\u8981\u66f4\u5f3a\u7684\u5b89\u5168\u63aa\u65bd\n2. \u5bc6\u94a5\u5fc5\u987b\u59a5\u5584\u4fdd\u5b58\uff0c\u4e22\u5931\u5bc6\u94a5\u5c06\u65e0\u6cd5\u89e3\u5bc6\u6570\u636e\n3. \u5bf9\u4e8e\u751f\u4ea7\u73af\u5883\uff0c\u5efa\u8bae\u4f7f\u7528\u66f4\u5b8c\u6574\u7684\u5bc6\u94a5\u7ba1\u7406\u65b9\u6848\n4. \u6b64\u5b9e\u73b0\u4f7f\u7528\u56fa\u5b9a\u7684AES\u5757\u5927\u5c0f\u548cCBC\u6a21\u5f0f\uff0c\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8c03\u6574\n\n\u8fd9\u4e2a\u7a0b\u5e8f\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5b8c\u6574\u7684\u52a0\u5bc6\u89e3\u5bc6\u5de5\u5177\uff0c\u5305\u542b\u4e86\u7528\u6237\u53cb\u597d\u7684\u4ea4\u4e92\u754c\u9762\u548c\u9519\u8bef\u5904\u7406\u673a\u5236\u3002\u60a8\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8fdb\u4e00\u6b65\u6269\u5c55\u529f\u80fd\uff0c\u5982\u6dfb\u52a0\u6587\u4ef6\u52a0\u5bc6\u3001\u652f\u6301\u66f4\u591a\u52a0\u5bc6\u7b97\u6cd5\u7b49\u3002", "prompt": "", "model": "deepseek-chat", "tokens_used": 0}}, "resolved_inputs": {"condition_data": {}}}


node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: COMPLETED
started_at: 2025-12-05T19:18:27.132324
completed_at: 2025-12-05T19:18:29.552481
created_at: 2025-12-05 11:18:27
updated_at: 2025-12-05 11:18:29
input_data:
  {"original_prompt": "", "processed_prompt": "", "model_config": {"model": 3, "temperature": 1.8, "prompt": "", "max_tokens": 1000}, "resolved_inputs": {"prompt_variables": {}}}

output_data:
  {"success": true, "response": "\u8bf7\u4f60\u660e\u786e\u4e00\u4e0b\u5177\u4f53\u9700\u6c42\uff0c\u6bd4\u5982\u5bf9\u8fd9\u4e2a\u4e0d\u660e\u5185\u5bb9\u8fdb\u884c\u6da6\u8272\u3001\u89e3\u8bfb\u3001\u7eed\u5199\u7b49\uff0c\u4ee5\u4fbf\u6211\u66f4\u4e3a\u7cbe\u51c6\u5730\u4e3a\u4f60\u63d0\u4f9b\u670d\u52a1\u3002", "prompt": "", "model": "doubao-1-5-pro-32k-250115", "tokens_used": 0}


node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: COMPLETED
started_at: 2025-12-05T19:18:47.021049
completed_at: 2025-12-05T19:18:48.470150
created_at: 2025-12-05 11:18:47
updated_at: 2025-12-05 11:18:48
input_data:
  {"original_prompt": "", "processed_prompt": "", "model_config": {"model": 3, "temperature": 1.8, "prompt": "", "max_tokens": 1000}, "resolved_inputs": {"prompt_variables": {}}}

output_data:
  {"success": true, "response": "\u770b\u8d77\u6765\u4f60\u53ea\u662f\u53d1\u9001\u4e86\u4e00\u4e32\u7a7a\u5b57\u7b26\uff0c\u4f60\u53ef\u4ee5\u8be6\u7ec6\u63cf\u8ff0\u4f60\u7684\u9700\u6c42\uff0c\u6bd4\u5982\u5206\u4eab\u4e00\u4ef6\u4e8b\u60c5\u3001\u63d0\u51fa\u4e00\u4e2a\u95ee\u9898\u3001\u8ba9\u6211\u5b8c\u6210\u67d0\u9879\u521b\u4f5c\u7b49\uff0c\u8fd9\u6837\u6211\u5c31\u80fd\u66f4\u597d\u5730\u4e3a\u4f60\u63d0\u4f9b\u670d\u52a1\u5566\u3002", "prompt": "", "model": "doubao-1-5-pro-32k-250115", "tokens_used": 0}


node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: COMPLETED
started_at: 2025-12-05T19:18:49.838339
completed_at: 2025-12-05T19:18:50.883073
created_at: 2025-12-05 11:18:49
updated_at: 2025-12-05 11:18:50
input_data:
  {"original_prompt": "", "processed_prompt": "", "model_config": {"model": 3, "temperature": 1.8, "prompt": "", "max_tokens": 1000}, "resolved_inputs": {"prompt_variables": {}}}

output_data:
  {"success": true, "response": "\u8bf7\u4f60\u660e\u786e\u4e00\u4e0b\u5177\u4f53\u9700\u6c42\uff0c\u6bd4\u5982\u5bf9\u8fd9\u4e32\u5b57\u7b26\u8fdb\u884c\u6da6\u8272\u3001\u89e3\u8bfb\u3001\u6839\u636e\u5b83\u8fdb\u884c\u521b\u4f5c\u7b49\uff0c\u4ee5\u4fbf\u6211\u66f4\u4e3a\u7cbe\u51c6\u5730\u4e3a\u4f60\u63d0\u4f9b\u670d\u52a1\u3002", "prompt": "", "model": "doubao-1-5-pro-32k-250115", "tokens_used": 0}


node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: COMPLETED
started_at: 2025-12-05T19:18:54.244047
completed_at: 2025-12-05T19:18:56.514166
created_at: 2025-12-05 11:18:54
updated_at: 2025-12-05 11:18:56
input_data:
[cell repeats an earlier one in this file: 176 characters]

output_data:
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node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: COMPLETED
started_at: 2025-12-05T19:19:01.020999
completed_at: 2025-12-05T19:19:01.951504
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updated_at: 2025-12-05 11:19:01
input_data:
[cell repeats an earlier one in this file: 176 characters]

output_data:
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node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: COMPLETED
started_at: 2025-12-05T19:19:17.806417
completed_at: 2025-12-05T19:19:19.203192
created_at: 2025-12-05 11:19:17
updated_at: 2025-12-05 11:19:19
input_data:
[cell repeats an earlier one in this file: 176 characters]

output_data:
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node_id: node_1764242576489
node_type: LLM
node_name: LLM33
status: COMPLETED
started_at: 2025-12-05T19:19:29.556898
completed_at: 2025-12-05T19:19:30.638395
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updated_at: 2025-12-05 11:19:30
input_data:
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output_data:
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node_id: node_1764242455510
node_type: CONDITION
node_name: 条件分支
status: FAILED
started_at: 2025-12-05T19:19:30.643507
completed_at: 2025-12-05T19:19:30.652395
error_message: 条件评估失败: invalid syntax (<string>, line 0)
created_at: 2025-12-05 11:19:30
updated_at: 2025-12-05 11:19:30
input_data:
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node_id: start-1
node_type: START
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status: COMPLETED
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started_at: 2025-12-05T19:19:48.092487
completed_at: 2025-12-05T19:19:48.104096
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updated_at: 2025-12-05 11:19:48
output_data:
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node_id: node_1764240462662
node_type: END
node_name: 结束
status: COMPLETED
started_at: 2025-12-05T19:19:48.109795
completed_at: 2025-12-05T19:19:48.117555
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input_data:
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output_data:
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node_id: node_1764242576489
node_type: LLM
node_name: LLM33
status: COMPLETED
started_at: 2025-12-05T19:19:48.123221
completed_at: 2025-12-05T19:19:49.448145
created_at: 2025-12-05 11:19:48
updated_at: 2025-12-05 11:19:49
input_data:
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output_data:
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node_id: node_1764242455510
node_type: CONDITION
node_name: 条件分支
status: FAILED
started_at: 2025-12-05T19:19:49.461574
completed_at: 2025-12-05T19:19:49.470146
error_message: 条件评估失败: invalid syntax (<string>, line 0)
created_at: 2025-12-05 11:19:49
updated_at: 2025-12-05 11:19:49
input_data:
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node_id: node_1764242576489
node_type: LLM
node_name: LLM33
status: COMPLETED
started_at: 2025-12-05T19:20:41.147076
completed_at: 2025-12-05T19:20:42.055314
created_at: 2025-12-05 11:20:41
updated_at: 2025-12-05 11:20:42
input_data:
  {"original_prompt": "", "processed_prompt": "", "model_config": {"model": 3, "temperature": 1, "prompt": "", "max_tokens": 1002}, "resolved_inputs": {"prompt_variables": {}}}

output_data:
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node_id: node_1764242455510
node_type: CONDITION
node_name: 条件分支
status: FAILED
started_at: 2025-12-05T19:20:42.060536
completed_at: 2025-12-05T19:20:42.069094
error_message: 条件评估失败: invalid syntax (<string>, line 0)
created_at: 2025-12-05 11:20:42
updated_at: 2025-12-05 11:20:42
input_data:
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node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: COMPLETED
started_at: 2025-12-05T19:21:36.794014
completed_at: 2025-12-05T19:21:38.577515
created_at: 2025-12-05 11:21:36
updated_at: 2025-12-05 11:21:38
input_data:
[cell repeats an earlier one in this file: 176 characters]

output_data:
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node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: COMPLETED
started_at: 2025-12-05T19:22:06.986224
completed_at: 2025-12-05T19:22:08.425498
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updated_at: 2025-12-05 11:22:08
input_data:
[cell repeats an earlier one in this file: 176 characters]

output_data:
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node_id: node_1764240462662
node_type: END
node_name: 结束12
status: COMPLETED
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started_at: 2025-12-05T19:22:08.439744
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updated_at: 2025-12-05 11:22:08
input_data:
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node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: COMPLETED
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completed_at: 2025-12-05T19:22:33.709191
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updated_at: 2025-12-05 11:22:33
input_data:
[cell repeats an earlier one in this file: 176 characters]

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node_id: node_1764240462662
node_type: END
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node_name: LLM
status: COMPLETED
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node_id: node_1764240462662
node_type: END
node_name: 结束12
status: COMPLETED
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started_at: 2025-12-05T20:19:56.705414
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node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: COMPLETED
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node_id: node_1764240462662
node_type: END
node_name: 结束12
status: COMPLETED
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started_at: 2025-12-05T20:20:04.091152
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created_at: 2025-12-05 12:20:04
updated_at: 2025-12-05 12:20:04
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node_id: start-1
node_type: START
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status: COMPLETED
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started_at: 2025-12-06T09:01:44.753149
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node_id: start-1
node_type: START
node_name: 开始
status: COMPLETED
input_data: {"user_input": {"input": "12"}}
started_at: 2025-12-06T09:02:14.279718
completed_at: 2025-12-06T09:02:14.287336
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output_data:
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node_id: node_1764982910385
node_type: LLM
node_name: LLM
status: FAILED
started_at: 2025-12-06T09:02:14.293084
completed_at: 2025-12-06T09:02:14.305311
error_message: 未指定有效的大模型配置
created_at: 2025-12-06 01:02:14
updated_at: 2025-12-06 01:02:14
input_data:
  {"original_prompt": "", "processed_prompt": "", "model_config": {"model": "", "temperature": 0.7, "prompt": "", "max_tokens": 1000}, "resolved_inputs": {"prompt": "12"}}


node_id: start-1
node_type: START
node_name: 开始
status: COMPLETED
input_data: {"user_input": {"121": "333"}}
started_at: 2025-12-06T11:09:53.178944
completed_at: 2025-12-06T11:09:53.188071
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updated_at: 2025-12-06 03:09:53
output_data:
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node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: COMPLETED
started_at: 2025-12-06T11:09:53.195523
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input_data:
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node_id: node_1764240462662
node_type: END
node_name: 结束12
status: COMPLETED
output_data: {"success": true, "message": "\u5de5\u4f5c\u6d41\u7ed3\u675f", "data": {"r2": null}}
started_at: 2025-12-06T11:09:56.537245
completed_at: 2025-12-06T11:09:56.548640
created_at: 2025-12-06 03:09:56
updated_at: 2025-12-06 03:09:56
input_data:
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node_id: start-1
node_type: START
node_name: 开始
status: COMPLETED
input_data: {"user_input": {"121": ""}}
started_at: 2025-12-06T14:34:12.956821
completed_at: 2025-12-06T14:34:12.964745
created_at: 2025-12-06 06:34:12
updated_at: 2025-12-06 06:34:12
output_data:
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node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: FAILED
started_at: 2025-12-06T14:34:12.971484
completed_at: 2025-12-06T14:34:13.230519
error_message: LLM调用失败: LLM调用失败: Error code: 401 - {'error': {'code': '401', 'message': '令牌已过期或验证不正确'}}
created_at: 2025-12-06 06:34:12
updated_at: 2025-12-06 06:34:13
input_data:
  {"original_prompt": "", "processed_prompt": "", "model_config": {"model": 4, "temperature": 1.8, "prompt": "", "max_tokens": 1000}, "resolved_inputs": {"prompt_variables": {}}}


node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: COMPLETED
started_at: 2025-12-06T14:34:25.539387
completed_at: 2025-12-06T14:35:06.336243
created_at: 2025-12-06 06:34:25
updated_at: 2025-12-06 06:35:06
input_data:
[cell repeats an earlier one in this file: 176 characters]

output_data:
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**\u8ba1\u7b97\u673a**\u6307\u7684\u662f\u5b66\u79d1\u95e8\u7c7b\uff08\u5de5\u5b66\uff09\u4e0b\u7684\u4e00\u7ea7\u5b66\u79d1\u3002\n    *   **\u5b66\u7855**\uff08\u5b66\u672f\u578b\u7855\u58eb\uff09\u662f\u7855\u58eb\u7684\u4e00\u79cd\u7c7b\u578b\uff0c\u901a\u5e38\u4fa7\u91cd\u4e8e\u7406\u8bba\u7814\u7a76\u3001\u5b66\u672f\u521b\u65b0\uff0c\u4ee5\u4e3a\u653b\u8bfb\u535a\u58eb\u5b66\u4f4d\u505a\u51c6\u5907\u4e3a\u76ee\u6807\u3002\u4e0e\u4e4b\u76f8\u5bf9\u7684\u662f**\u4e13\u7855**\uff08\u4e13\u4e1a\u578b\u7855\u58eb\uff09\uff0c\u66f4\u4fa7\u91cd\u4e8e\u5b9e\u8df5\u5e94\u7528\u548c\u5c31\u4e1a\u3002\n    *   \u6240\u4ee5\u201c\u8003\u8ba1\u7b97\u673a\u5b66\u7855\u201d\u6307\u7684\u662f\u9009\u62e9\u8fd9\u4e2a\u4e13\u4e1a\u65b9\u5411\u7684\u5b66\u672f\u578b\u7855\u58eb\u5b66\u4f4d\u9879\u76ee\u3002\n\n*   **\u534e\u4e94**\uff1a\u8fd9\u662f\u4e00\u4e2a**\u9ad8\u6821\u7fa4\u4f53\u7b80\u79f0**\u3002\n    *   \u6307\u7684\u662f\u4e2d\u56fd\u9876\u5c16\u7684**\u4e94\u6240\u534e\u4e1c\u5730\u533a\u9ad8\u6821**\uff1a**\u590d\u65e6\u5927\u5b66\u3001\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u3001\u6d59\u6c5f\u5927\u5b66\u3001\u5357\u4eac\u5927\u5b66\u3001\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66**\u3002\n    *   \u8fd9\u4e9b\u5b66\u6821\u90fd\u662f\u4e2d\u56fd\u6700\u9876\u5c16\u7684985\u9ad8\u6821\uff08C9\u8054\u76df\u7684\u91cd\u8981\u7ec4\u6210\u90e8\u5206\uff09\uff0c\u65e0\u8bba\u54ea\u4e2a\u4e13\u4e1a\uff0c\u8003\u7814\u96be\u5ea6\u90fd\u6781\u9ad8\u3002\n\n---\n\n### 2. \u60a8\u53ef\u80fd\u60f3\u95ee\u7684\u95ee\u9898\u53ca\u89e3\u7b54\n\n\u6211\u63a8\u6d4b\u60a8\u53ef\u80fd\u662f\u60f3\u95ee\u4ee5\u4e0b\u4e24\u7c7b\u95ee\u9898\u4e4b\u4e00\uff1a\n\n#### **\u53ef\u80fd\u6027\u4e00\uff1a\u8003\u201c\u534e\u4e94\u201d\u7684\u8ba1\u7b97\u673a\u5b66\u7855\uff0c\u96be\u5ea6\u5982\u4f55\uff1f**\n\n**\u7ed3\u8bba\uff1a\u975e\u5e38\u96be\uff0c\u662f\u4e2d\u56fd\u8003\u7814\u96be\u5ea6\u6700\u9ad8\u7684\u68af\u961f\u4e4b\u4e00\u3002**\n\n**\u539f\u56e0\u5206\u6790\uff1a**\n\n1.  **\u5b66\u6821\u5c42\u7ea7\u9876\u5c16**\uff1a\u201c\u534e\u4e94\u201d\u672c\u8eab\u5c31\u662f\u4e2d\u56fd\u9ad8\u6821\u7684\u5854\u5c16\uff0c\u751f\u6e90\u8d28\u91cf\u3001\u5e08\u8d44\u529b\u91cf\u3001\u79d1\u7814\u5e73\u53f0\u90fd\u662f\u9876\u7ea7\u7684\uff0c\u5438\u5f15\u4e86\u5168\u56fd\u6700\u4f18\u79c0\u7684\u8003\u751f\u3002\n2.  **\u4e13\u4e1a\u70ed\u95e8**\uff1a\u8ba1\u7b97\u673a\u662f\u8fd1\u5341\u5e74\u6700\u70ed\u95e8\u7684\u5de5\u79d1\u4e13\u4e1a\uff0c\u6ca1\u6709\u4e4b\u4e00\u3002\u5c31\u4e1a\u524d\u666f\u597d\u3001\u85aa\u8d44\u9ad8\uff0c\u5bfc\u81f4\u8de8\u4e13\u4e1a\u548c\u672c\u4e13\u4e1a\u7684\u8003\u751f\u6570\u91cf\u6781\u5176\u5e9e\u5927\u3002\n3.  **\u201c\u5b66\u7855\u201d\u8d8b\u52bf**\uff1a\u8fd1\u5e74\u6765\uff0c\u8bb8\u591a\u540d\u6821\uff08\u5305\u62ec\u534e\u4e94\uff09\u5728\u63a8\u514d\uff08\u4fdd\u7814\uff09\u4e2d\u8d8a\u6765\u8d8a\u503e\u5411\u4e8e\u62db\u6536\u5b66\u672f\u578b\u7855\u58eb\uff0c\u7559\u7ed9\u5168\u56fd\u7edf\u4e00\u8003\u7814\u7684**\u5b66\u7855\u540d\u989d\u975e\u5e38\u5c11**\u3002\u6709\u4e9b\u4e13\u4e1a\u751a\u81f3\u53ea\u62db\u63a8\u514d\u751f\uff0c\u4e0d\u7edf\u8003\u62db\u5b66\u7855\u3002\u540d\u989d\u5c11\uff0c\u7ade\u4e89\u81ea\u7136\u767d\u70ed\u5316\u3002\n4.  **\u8003\u751f\u5b9e\u529b\u5f3a**\uff1a\u62a5\u8003\u8fd9\u4e9b\u5b66\u6821\u7684\u8003\u751f\uff0c\u5f88\u591a\u6765\u81ea\u5176\u4ed6985\u3001211\u9ad8\u6821\u7684\u5c16\u5b50\u751f\uff0c\u5907\u8003\u5145\u5206\uff0c\u5b9e\u529b\u5f3a\u52b2\u3002\n5.  **\u8003\u8bd5\u96be\u5ea6\u5927**\uff1a\u4e13\u4e1a\u8bfe\uff08\u901a\u5e38\u662f408\u8ba1\u7b97\u673a\u5b66\u79d1\u4e13\u4e1a\u57fa\u7840\u6216\u5b66\u6821\u81ea\u547d\u9898\uff09\u96be\u5ea6\u9ad8\uff0c\u8986\u76d6\u9762\u5e7f\uff0c\u6df1\u5ea6\u5927\u3002\u516c\u5171\u8bfe\uff08\u6570\u5b66\u4e00\u3001\u82f1\u8bed\u4e00\uff09\u4e5f\u662f\u6700\u9ad8\u96be\u5ea6\u7ea7\u522b\u3002\n\n**\u603b\u7ed3\uff1a** \u201c\u534e\u4e94 + \u8ba1\u7b97\u673a + \u5b66\u7855\u201d\u662f **\u201c\u9876\u5c16\u540d\u6821 + \u9876\u6d41\u4e13\u4e1a + \u7a00\u7f3a\u540d\u989d\u201d** \u7684\u4e09\u91cd\u53e0\u52a0\uff0c\u582a\u79f0\u8003\u7814\u9886\u57df\u7684\u201c\u5730\u72f1\u96be\u5ea6\u201d\u3002\u4f60\u9700\u8981\u6709\u6781\u5f3a\u7684\u672c\u79d1\u80cc\u666f\uff08\u5982985/211\u76f8\u5173\u4e13\u4e1a\u9ad8\u7ee9\u70b9\uff09\u3001\u51fa\u8272\u7684\u79d1\u7814\u6216\u9879\u76ee\u7ecf\u5386\u3001\u4ee5\u53ca\u9876\u5c16\u7684\u521d\u8bd5\u5206\u6570\uff0c\u624d\u6709\u8f83\u5927\u673a\u4f1a\u3002\n\n#### **\u53ef\u80fd\u6027\u4e8c\uff1a\u5728\u201c\u8ba1\u7b97\u673a\u5b66\u7855\u201d\u548c\u201c\u534e\u4e94\u5176\u4ed6\u4e13\u4e1a\u201d\u4e4b\u95f4\u505a\u9009\u62e9\uff0c\u54ea\u4e2a\u597d\u8003\uff1f**\n\n\u8fd9\u662f\u4e00\u4e2a\u66f4\u5408\u7406\u7684\u6bd4\u8f83\u3002\u4f46\u7b54\u6848\u4f9d\u7136\u662f\uff1a**\u5177\u4f53\u60c5\u51b5\u5177\u4f53\u5206\u6790\uff0c\u4f46\u901a\u5e38\u534e\u4e94\u7684\u51b7\u95e8\u4e13\u4e1a\u53ef\u80fd\u6bd4\u5176\u8ba1\u7b97\u673a\u5b66\u7855\u201c\u76f8\u5bf9\u201d\u597d\u8003\u4e00\u70b9\u3002**\n\n*   **\u534e\u4e94\u8ba1\u7b97\u673a\u5b66\u7855**\uff1a\u5982\u4e0a\u6240\u8ff0\uff0c\u96be\u5728 **\u201c\u7edd\u5bf9\u96be\u5ea6\u201d\u548c\u201c\u7ade\u4e89\u6fc0\u70c8\u5ea6\u201d**\u3002\n*   **\u534e\u4e94\u7684\u975e\u70ed\u95e8\u4e13\u4e1a\uff08\u5982\u67d0\u4e9b\u57fa\u7840\u7406\u79d1\u3001\u6587\u79d1\u51b7\u95e8\u4e13\u4e1a\uff09**\uff1a\n    *   **\u76f8\u5bf9\u4f18\u52bf**\uff1a\u62a5\u8003\u4eba\u6570\u53ef\u80fd\u5c11\u5f88\u591a\uff0c\u7ade\u4e89\u6fc0\u70c8\u5ea6**\u76f8\u5bf9**\u8f83\u4f4e\u3002\u4e13\u4e1a\u8bfe\u5185\u5bb9\u53ef\u80fd\u66f4\u56fa\u5b9a\uff0c\u4e0d\u6613\u51fa\u73b0\u201c\u795e\u4ed9\u6253\u67b6\u201d\u7684\u5c40\u9762\u3002\n    *   **\u4f46\u4f9d\u7136\u5f88\u96be**\uff1a\u56e0\u4e3a\u5b83\u662f\u201c\u534e\u4e94\u201d\uff0c\u5b66\u6821\u5206\u6570\u7ebf\uff08\u5c24\u5176\u662f\u516c\u5171\u8bfe\uff09\u8981\u6c42\u5f88\u9ad8\uff0c\u5bf9\u8003\u751f\u7684\u7efc\u5408\u7d20\u517b\u8981\u6c42\u4e0d\u51cf\u3002\u800c\u4e14\u51b7\u95e8\u4e13\u4e1a\u62db\u751f\u540d\u989d\u4e5f\u53ef\u80fd\u975e\u5e38\u5c11\u3002\n    *   **\u8003\u4e0a\u7684\u201c\u6027\u4ef7\u6bd4\u201d**\uff1a\u4f60\u9700\u8981\u8003\u8651\u81ea\u5df1\u7684\u5174\u8da3\u548c\u672a\u6765\u804c\u4e1a\u89c4\u5212\u3002\u4e3a\u4e86\u4e0a\u540d\u6821\u800c\u9009\u62e9\u4e00\u4e2a\u5b8c\u5168\u4e0d\u611f\u5174\u8da3\u7684\u4e13\u4e1a\uff0c\u53ef\u80fd\u4f1a\u9762\u4e34\u5b66\u4e1a\u75db\u82e6\u548c\u5c31\u4e1a\u56f0\u96be\u3002\n\n---\n\n### \u7ed9\u60a8\u7684\u5efa\u8bae\n\n1.  **\u660e\u786e\u76ee\u6807**\uff1a\u9996\u5148\u60f3\u6e05\u695a\uff0c\u4f60\u7684\u6838\u5fc3\u8ffd\u6c42\u662f **\u201c\u540d\u6821\u5e73\u53f0\u201d** \u8fd8\u662f **\u201c\u8ba1\u7b97\u673a\u4e13\u4e1a\u201d**\uff1f\n    *   \u8ffd\u6c42\u540d\u6821\u5e73\u53f0\uff0c\u53ef\u4ee5\u8003\u8651\u534e\u4e94\u76f8\u5bf9\u51b7\u95e8\u4f46\u81ea\u5df1\u5c1a\u6709\u5174\u8da3\u7684\u4e13\u4e1a\u3002\n    *   \u8ffd\u6c42\u8ba1\u7b97\u673a\u4e13\u4e1a\uff0c\u53ef\u4ee5\u9002\u5f53\u653e\u5bbd\u5b66\u6821\u8303\u56f4\uff0c\u8003\u8651\u5176\u4ed6985\u3001211\u6216\u8ba1\u7b97\u673a\u5f3a\u6821\uff08\u5982\u5317\u90ae\u3001\u534e\u79d1\u3001\u6210\u7535\u7b49\uff09\uff0c\u5b83\u4eec\u7684\u8ba1\u7b97\u673a\u4e13\u4e1a\u540c\u6837\u5f88\u5f3a\uff0c\u4f46\u7ade\u4e89\u683c\u5c40\u53ef\u80fd\u7565\u6709\u4e0d\u540c\u3002\n2.  **\u67e5\u8be2\u5b98\u65b9\u4fe1\u606f**\uff1a\u7acb\u523b\u53bb\u76ee\u6807\u9662\u6821\u7684\u7814\u7a76\u751f\u62db\u751f\u5b98\u7f51\uff0c\u67e5\u627e\u6700\u65b0\u7684\u62db\u751f\u7b80\u7ae0\u548c\u4e13\u4e1a\u76ee\u5f55\u3002\u91cd\u70b9\u5173\u6ce8\uff1a\n    *   \u8ba1\u7b97\u673a\u5b66\u9662\u662f\u5426\u62db\u6536\u7edf\u8003**\u5b66\u7855**\uff1f\n    *   \u62db\u751f\u540d\u989d\u6709\u591a\u5c11\uff1f\uff08\u63a8\u514d\u751f\u5360\u591a\u5c11\uff1f\u7edf\u8003\u540d\u989d\u5269\u51e0\u4e2a\uff1f\uff09\n    *   \u8003\u8bd5\u79d1\u76ee\u662f\u4ec0\u4e48\uff1f\uff08\u662f\u5426\u662f\u6050\u6016\u7684408\uff1f\uff09\n    *   \u8fd1\u4e09\u5e74\u7684\u590d\u8bd5\u5206\u6570\u7ebf\u3001\u62a5\u5f55\u6bd4\u3001\u5f55\u53d6\u540d\u5355\u4e2d\u7684\u8003\u751f\u5206\u6570\u3002\n3.  **\u8bc4\u4f30\u81ea\u8eab\u5b9e\u529b**\uff1a\u5ba2\u89c2\u8bc4\u4f30\u81ea\u5df1\u7684\u672c\u79d1\u5b66\u6821\u3001\u4e13\u4e1a\u6392\u540d\u3001\u82f1\u8bed\u6570\u5b66\u57fa\u7840\u3001\u4e13\u4e1a\u8bfe\u638c\u63e1\u7a0b\u5ea6\u4ee5\u53ca\u5b66\u4e60\u80fd\u529b\u3002\u53ef\u4ee5\u627e\u5f80\u5e74\u771f\u9898\u505a\u4e00\u4e0b\u521d\u6b65\u6d4b\u8bc4\u3002\n\n**\u6700\u540e\u603b\u7ed3\u4e00\u53e5\u8bdd\uff1a\u65e0\u8bba\u662f\u201c\u534e\u4e94\u201d\u8fd8\u662f\u201c\u8ba1\u7b97\u673a\u5b66\u7855\u201d\uff0c\u5355\u62ce\u51fa\u6765\u90fd\u662f\u9ad8\u96be\u5ea6\u6311\u6218\u3002\u4e24\u8005\u7ed3\u5408\uff0c\u5c31\u662f\u6311\u6218\u4e2d\u7684\u738b\u8005\u3002\u52a1\u5fc5\u505a\u597d\u5145\u5206\u8c03\u7814\u548c\u6781\u7aef\u523b\u82e6\u7684\u51c6\u5907\u3002**", "prompt": "", "model": "deepseek-chat", "tokens_used": 0}


node_id: node_1764240462662
node_type: END
node_name: 结束12
status: COMPLETED
output_data: {"success": true, "message": "\u5de5\u4f5c\u6d41\u7ed3\u675f", "data": {"r2": null}}
started_at: 2025-12-06T14:35:06.349975
completed_at: 2025-12-06T14:35:06.356778
created_at: 2025-12-06 06:35:06
updated_at: 2025-12-06 06:35:06
input_data:
  {"workflow_input": {"user_input": {"121": ""}}, "node_config": {}, "previous_outputs": {"start-1": {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {"121": ""}}, "user_input": {"user_input": {"121": ""}}}, "node_1764242576489": {"success": true, "response": "\u8fd9\u4e2a\u95ee\u9898\u672c\u8eab\u5b58\u5728\u4e00\u4e2a\u8bef\u89e3\uff0c\u8ba9\u6211\u6f84\u6e05\u4e00\u4e0b\uff1a\n\n**\u201c\u8ba1\u7b97\u673a\u5b66\u7855\u201d\u548c\u201c\u534e\u4e94\u201d\u8fd9\u4e24\u4e2a\u6982\u5ff5\u5e76\u4e0d\u5b58\u5728\u4e0a\u4e0b\u4f4d\u6216\u5e76\u5217\u7684\u5173\u7cfb**\uff0c\u56e0\u6b64\u65e0\u6cd5\u7b80\u5355\u5730\u8bf4\u662f\u5426\u597d\u8003\uff0c\u5c31\u50cf\u5728\u95ee\u201c\u5317\u4eac\u5927\u5b66\u548c\u7269\u7406\u4e13\u4e1a\u54ea\u4e2a\u66f4\u96be\u8003\u201d\u4e00\u6837\u3002\n\n\u8ba9\u6211\u5206\u522b\u89e3\u91ca\u4e00\u4e0b\u8fd9\u4e24\u4e2a\u6982\u5ff5\uff0c\u7136\u540e\u518d\u56de\u7b54\u60a8\u53ef\u80fd\u771f\u6b63\u60f3\u95ee\u7684\u95ee\u9898\u3002\n\n---\n\n### 1. \u5173\u4e8e\u201c\u8ba1\u7b97\u673a\u5b66\u7855\u201d\u4e0e\u201c\u534e\u4e94\u201d\n\n*   **\u8ba1\u7b97\u673a\u5b66\u7855**\uff1a\u8fd9\u662f\u4e00\u4e2a**\u4e13\u4e1a/\u5b66\u4f4d\u7c7b\u578b**\u3002\n    *   **\u8ba1\u7b97\u673a**\u6307\u7684\u662f\u5b66\u79d1\u95e8\u7c7b\uff08\u5de5\u5b66\uff09\u4e0b\u7684\u4e00\u7ea7\u5b66\u79d1\u3002\n    *   **\u5b66\u7855**\uff08\u5b66\u672f\u578b\u7855\u58eb\uff09\u662f\u7855\u58eb\u7684\u4e00\u79cd\u7c7b\u578b\uff0c\u901a\u5e38\u4fa7\u91cd\u4e8e\u7406\u8bba\u7814\u7a76\u3001\u5b66\u672f\u521b\u65b0\uff0c\u4ee5\u4e3a\u653b\u8bfb\u535a\u58eb\u5b66\u4f4d\u505a\u51c6\u5907\u4e3a\u76ee\u6807\u3002\u4e0e\u4e4b\u76f8\u5bf9\u7684\u662f**\u4e13\u7855**\uff08\u4e13\u4e1a\u578b\u7855\u58eb\uff09\uff0c\u66f4\u4fa7\u91cd\u4e8e\u5b9e\u8df5\u5e94\u7528\u548c\u5c31\u4e1a\u3002\n    *   \u6240\u4ee5\u201c\u8003\u8ba1\u7b97\u673a\u5b66\u7855\u201d\u6307\u7684\u662f\u9009\u62e9\u8fd9\u4e2a\u4e13\u4e1a\u65b9\u5411\u7684\u5b66\u672f\u578b\u7855\u58eb\u5b66\u4f4d\u9879\u76ee\u3002\n\n*   **\u534e\u4e94**\uff1a\u8fd9\u662f\u4e00\u4e2a**\u9ad8\u6821\u7fa4\u4f53\u7b80\u79f0**\u3002\n    *   \u6307\u7684\u662f\u4e2d\u56fd\u9876\u5c16\u7684**\u4e94\u6240\u534e\u4e1c\u5730\u533a\u9ad8\u6821**\uff1a**\u590d\u65e6\u5927\u5b66\u3001\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u3001\u6d59\u6c5f\u5927\u5b66\u3001\u5357\u4eac\u5927\u5b66\u3001\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66**\u3002\n    *   \u8fd9\u4e9b\u5b66\u6821\u90fd\u662f\u4e2d\u56fd\u6700\u9876\u5c16\u7684985\u9ad8\u6821\uff08C9\u8054\u76df\u7684\u91cd\u8981\u7ec4\u6210\u90e8\u5206\uff09\uff0c\u65e0\u8bba\u54ea\u4e2a\u4e13\u4e1a\uff0c\u8003\u7814\u96be\u5ea6\u90fd\u6781\u9ad8\u3002\n\n---\n\n### 2. \u60a8\u53ef\u80fd\u60f3\u95ee\u7684\u95ee\u9898\u53ca\u89e3\u7b54\n\n\u6211\u63a8\u6d4b\u60a8\u53ef\u80fd\u662f\u60f3\u95ee\u4ee5\u4e0b\u4e24\u7c7b\u95ee\u9898\u4e4b\u4e00\uff1a\n\n#### **\u53ef\u80fd\u6027\u4e00\uff1a\u8003\u201c\u534e\u4e94\u201d\u7684\u8ba1\u7b97\u673a\u5b66\u7855\uff0c\u96be\u5ea6\u5982\u4f55\uff1f**\n\n**\u7ed3\u8bba\uff1a\u975e\u5e38\u96be\uff0c\u662f\u4e2d\u56fd\u8003\u7814\u96be\u5ea6\u6700\u9ad8\u7684\u68af\u961f\u4e4b\u4e00\u3002**\n\n**\u539f\u56e0\u5206\u6790\uff1a**\n\n1.  **\u5b66\u6821\u5c42\u7ea7\u9876\u5c16**\uff1a\u201c\u534e\u4e94\u201d\u672c\u8eab\u5c31\u662f\u4e2d\u56fd\u9ad8\u6821\u7684\u5854\u5c16\uff0c\u751f\u6e90\u8d28\u91cf\u3001\u5e08\u8d44\u529b\u91cf\u3001\u79d1\u7814\u5e73\u53f0\u90fd\u662f\u9876\u7ea7\u7684\uff0c\u5438\u5f15\u4e86\u5168\u56fd\u6700\u4f18\u79c0\u7684\u8003\u751f\u3002\n2.  **\u4e13\u4e1a\u70ed\u95e8**\uff1a\u8ba1\u7b97\u673a\u662f\u8fd1\u5341\u5e74\u6700\u70ed\u95e8\u7684\u5de5\u79d1\u4e13\u4e1a\uff0c\u6ca1\u6709\u4e4b\u4e00\u3002\u5c31\u4e1a\u524d\u666f\u597d\u3001\u85aa\u8d44\u9ad8\uff0c\u5bfc\u81f4\u8de8\u4e13\u4e1a\u548c\u672c\u4e13\u4e1a\u7684\u8003\u751f\u6570\u91cf\u6781\u5176\u5e9e\u5927\u3002\n3.  **\u201c\u5b66\u7855\u201d\u8d8b\u52bf**\uff1a\u8fd1\u5e74\u6765\uff0c\u8bb8\u591a\u540d\u6821\uff08\u5305\u62ec\u534e\u4e94\uff09\u5728\u63a8\u514d\uff08\u4fdd\u7814\uff09\u4e2d\u8d8a\u6765\u8d8a\u503e\u5411\u4e8e\u62db\u6536\u5b66\u672f\u578b\u7855\u58eb\uff0c\u7559\u7ed9\u5168\u56fd\u7edf\u4e00\u8003\u7814\u7684**\u5b66\u7855\u540d\u989d\u975e\u5e38\u5c11**\u3002\u6709\u4e9b\u4e13\u4e1a\u751a\u81f3\u53ea\u62db\u63a8\u514d\u751f\uff0c\u4e0d\u7edf\u8003\u62db\u5b66\u7855\u3002\u540d\u989d\u5c11\uff0c\u7ade\u4e89\u81ea\u7136\u767d\u70ed\u5316\u3002\n4.  **\u8003\u751f\u5b9e\u529b\u5f3a**\uff1a\u62a5\u8003\u8fd9\u4e9b\u5b66\u6821\u7684\u8003\u751f\uff0c\u5f88\u591a\u6765\u81ea\u5176\u4ed6985\u3001211\u9ad8\u6821\u7684\u5c16\u5b50\u751f\uff0c\u5907\u8003\u5145\u5206\uff0c\u5b9e\u529b\u5f3a\u52b2\u3002\n5.  **\u8003\u8bd5\u96be\u5ea6\u5927**\uff1a\u4e13\u4e1a\u8bfe\uff08\u901a\u5e38\u662f408\u8ba1\u7b97\u673a\u5b66\u79d1\u4e13\u4e1a\u57fa\u7840\u6216\u5b66\u6821\u81ea\u547d\u9898\uff09\u96be\u5ea6\u9ad8\uff0c\u8986\u76d6\u9762\u5e7f\uff0c\u6df1\u5ea6\u5927\u3002\u516c\u5171\u8bfe\uff08\u6570\u5b66\u4e00\u3001\u82f1\u8bed\u4e00\uff09\u4e5f\u662f\u6700\u9ad8\u96be\u5ea6\u7ea7\u522b\u3002\n\n**\u603b\u7ed3\uff1a** \u201c\u534e\u4e94 + \u8ba1\u7b97\u673a + \u5b66\u7855\u201d\u662f **\u201c\u9876\u5c16\u540d\u6821 + \u9876\u6d41\u4e13\u4e1a + \u7a00\u7f3a\u540d\u989d\u201d** \u7684\u4e09\u91cd\u53e0\u52a0\uff0c\u582a\u79f0\u8003\u7814\u9886\u57df\u7684\u201c\u5730\u72f1\u96be\u5ea6\u201d\u3002\u4f60\u9700\u8981\u6709\u6781\u5f3a\u7684\u672c\u79d1\u80cc\u666f\uff08\u5982985/211\u76f8\u5173\u4e13\u4e1a\u9ad8\u7ee9\u70b9\uff09\u3001\u51fa\u8272\u7684\u79d1\u7814\u6216\u9879\u76ee\u7ecf\u5386\u3001\u4ee5\u53ca\u9876\u5c16\u7684\u521d\u8bd5\u5206\u6570\uff0c\u624d\u6709\u8f83\u5927\u673a\u4f1a\u3002\n\n#### **\u53ef\u80fd\u6027\u4e8c\uff1a\u5728\u201c\u8ba1\u7b97\u673a\u5b66\u7855\u201d\u548c\u201c\u534e\u4e94\u5176\u4ed6\u4e13\u4e1a\u201d\u4e4b\u95f4\u505a\u9009\u62e9\uff0c\u54ea\u4e2a\u597d\u8003\uff1f**\n\n\u8fd9\u662f\u4e00\u4e2a\u66f4\u5408\u7406\u7684\u6bd4\u8f83\u3002\u4f46\u7b54\u6848\u4f9d\u7136\u662f\uff1a**\u5177\u4f53\u60c5\u51b5\u5177\u4f53\u5206\u6790\uff0c\u4f46\u901a\u5e38\u534e\u4e94\u7684\u51b7\u95e8\u4e13\u4e1a\u53ef\u80fd\u6bd4\u5176\u8ba1\u7b97\u673a\u5b66\u7855\u201c\u76f8\u5bf9\u201d\u597d\u8003\u4e00\u70b9\u3002**\n\n*   **\u534e\u4e94\u8ba1\u7b97\u673a\u5b66\u7855**\uff1a\u5982\u4e0a\u6240\u8ff0\uff0c\u96be\u5728 **\u201c\u7edd\u5bf9\u96be\u5ea6\u201d\u548c\u201c\u7ade\u4e89\u6fc0\u70c8\u5ea6\u201d**\u3002\n*   **\u534e\u4e94\u7684\u975e\u70ed\u95e8\u4e13\u4e1a\uff08\u5982\u67d0\u4e9b\u57fa\u7840\u7406\u79d1\u3001\u6587\u79d1\u51b7\u95e8\u4e13\u4e1a\uff09**\uff1a\n    *   **\u76f8\u5bf9\u4f18\u52bf**\uff1a\u62a5\u8003\u4eba\u6570\u53ef\u80fd\u5c11\u5f88\u591a\uff0c\u7ade\u4e89\u6fc0\u70c8\u5ea6**\u76f8\u5bf9**\u8f83\u4f4e\u3002\u4e13\u4e1a\u8bfe\u5185\u5bb9\u53ef\u80fd\u66f4\u56fa\u5b9a\uff0c\u4e0d\u6613\u51fa\u73b0\u201c\u795e\u4ed9\u6253\u67b6\u201d\u7684\u5c40\u9762\u3002\n    *   **\u4f46\u4f9d\u7136\u5f88\u96be**\uff1a\u56e0\u4e3a\u5b83\u662f\u201c\u534e\u4e94\u201d\uff0c\u5b66\u6821\u5206\u6570\u7ebf\uff08\u5c24\u5176\u662f\u516c\u5171\u8bfe\uff09\u8981\u6c42\u5f88\u9ad8\uff0c\u5bf9\u8003\u751f\u7684\u7efc\u5408\u7d20\u517b\u8981\u6c42\u4e0d\u51cf\u3002\u800c\u4e14\u51b7\u95e8\u4e13\u4e1a\u62db\u751f\u540d\u989d\u4e5f\u53ef\u80fd\u975e\u5e38\u5c11\u3002\n    *   **\u8003\u4e0a\u7684\u201c\u6027\u4ef7\u6bd4\u201d**\uff1a\u4f60\u9700\u8981\u8003\u8651\u81ea\u5df1\u7684\u5174\u8da3\u548c\u672a\u6765\u804c\u4e1a\u89c4\u5212\u3002\u4e3a\u4e86\u4e0a\u540d\u6821\u800c\u9009\u62e9\u4e00\u4e2a\u5b8c\u5168\u4e0d\u611f\u5174\u8da3\u7684\u4e13\u4e1a\uff0c\u53ef\u80fd\u4f1a\u9762\u4e34\u5b66\u4e1a\u75db\u82e6\u548c\u5c31\u4e1a\u56f0\u96be\u3002\n\n---\n\n### \u7ed9\u60a8\u7684\u5efa\u8bae\n\n1.  **\u660e\u786e\u76ee\u6807**\uff1a\u9996\u5148\u60f3\u6e05\u695a\uff0c\u4f60\u7684\u6838\u5fc3\u8ffd\u6c42\u662f **\u201c\u540d\u6821\u5e73\u53f0\u201d** \u8fd8\u662f **\u201c\u8ba1\u7b97\u673a\u4e13\u4e1a\u201d**\uff1f\n    *   \u8ffd\u6c42\u540d\u6821\u5e73\u53f0\uff0c\u53ef\u4ee5\u8003\u8651\u534e\u4e94\u76f8\u5bf9\u51b7\u95e8\u4f46\u81ea\u5df1\u5c1a\u6709\u5174\u8da3\u7684\u4e13\u4e1a\u3002\n    *   \u8ffd\u6c42\u8ba1\u7b97\u673a\u4e13\u4e1a\uff0c\u53ef\u4ee5\u9002\u5f53\u653e\u5bbd\u5b66\u6821\u8303\u56f4\uff0c\u8003\u8651\u5176\u4ed6985\u3001211\u6216\u8ba1\u7b97\u673a\u5f3a\u6821\uff08\u5982\u5317\u90ae\u3001\u534e\u79d1\u3001\u6210\u7535\u7b49\uff09\uff0c\u5b83\u4eec\u7684\u8ba1\u7b97\u673a\u4e13\u4e1a\u540c\u6837\u5f88\u5f3a\uff0c\u4f46\u7ade\u4e89\u683c\u5c40\u53ef\u80fd\u7565\u6709\u4e0d\u540c\u3002\n2.  **\u67e5\u8be2\u5b98\u65b9\u4fe1\u606f**\uff1a\u7acb\u523b\u53bb\u76ee\u6807\u9662\u6821\u7684\u7814\u7a76\u751f\u62db\u751f\u5b98\u7f51\uff0c\u67e5\u627e\u6700\u65b0\u7684\u62db\u751f\u7b80\u7ae0\u548c\u4e13\u4e1a\u76ee\u5f55\u3002\u91cd\u70b9\u5173\u6ce8\uff1a\n    *   \u8ba1\u7b97\u673a\u5b66\u9662\u662f\u5426\u62db\u6536\u7edf\u8003**\u5b66\u7855**\uff1f\n    *   \u62db\u751f\u540d\u989d\u6709\u591a\u5c11\uff1f\uff08\u63a8\u514d\u751f\u5360\u591a\u5c11\uff1f\u7edf\u8003\u540d\u989d\u5269\u51e0\u4e2a\uff1f\uff09\n    *   \u8003\u8bd5\u79d1\u76ee\u662f\u4ec0\u4e48\uff1f\uff08\u662f\u5426\u662f\u6050\u6016\u7684408\uff1f\uff09\n    *   \u8fd1\u4e09\u5e74\u7684\u590d\u8bd5\u5206\u6570\u7ebf\u3001\u62a5\u5f55\u6bd4\u3001\u5f55\u53d6\u540d\u5355\u4e2d\u7684\u8003\u751f\u5206\u6570\u3002\n3.  **\u8bc4\u4f30\u81ea\u8eab\u5b9e\u529b**\uff1a\u5ba2\u89c2\u8bc4\u4f30\u81ea\u5df1\u7684\u672c\u79d1\u5b66\u6821\u3001\u4e13\u4e1a\u6392\u540d\u3001\u82f1\u8bed\u6570\u5b66\u57fa\u7840\u3001\u4e13\u4e1a\u8bfe\u638c\u63e1\u7a0b\u5ea6\u4ee5\u53ca\u5b66\u4e60\u80fd\u529b\u3002\u53ef\u4ee5\u627e\u5f80\u5e74\u771f\u9898\u505a\u4e00\u4e0b\u521d\u6b65\u6d4b\u8bc4\u3002\n\n**\u6700\u540e\u603b\u7ed3\u4e00\u53e5\u8bdd\uff1a\u65e0\u8bba\u662f\u201c\u534e\u4e94\u201d\u8fd8\u662f\u201c\u8ba1\u7b97\u673a\u5b66\u7855\u201d\uff0c\u5355\u62ce\u51fa\u6765\u90fd\u662f\u9ad8\u96be\u5ea6\u6311\u6218\u3002\u4e24\u8005\u7ed3\u5408\uff0c\u5c31\u662f\u6311\u6218\u4e2d\u7684\u738b\u8005\u3002\u52a1\u5fc5\u505a\u597d\u5145\u5206\u8c03\u7814\u548c\u6781\u7aef\u523b\u82e6\u7684\u51c6\u5907\u3002**", "prompt": "", "model": "deepseek-chat", "tokens_used": 0}}, "resolved_inputs": {"result": null}}


node_id: node_1764242455510
node_type: CONDITION
node_name: 条件分支
status: FAILED
started_at: 2025-12-06T14:45:13.141351
completed_at: 2025-12-06T14:45:13.149594
error_message: 条件评估失败: invalid syntax (<string>, line 0)
created_at: 2025-12-06 06:45:13
updated_at: 2025-12-06 06:45:13
input_data:
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node_id: node_1764242455510
node_type: CONDITION
node_name: 条件分支
status: FAILED
started_at: 2025-12-06T15:12:38.677613
completed_at: 2025-12-06T15:12:38.686755
error_message: 条件评估失败: invalid syntax (<string>, line 0)
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updated_at: 2025-12-06 07:12:38
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node_id: node_1764242576489
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node_id: node_1764242455510
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node_name: 条件分支
status: FAILED
started_at: 2025-12-06T15:21:42.170490
completed_at: 2025-12-06T15:21:42.179386
error_message: 条件评估失败: invalid syntax (<string>, line 0)
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updated_at: 2025-12-06 07:21:42
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node_id: node_1764242576489
node_type: LLM
node_name: LLM33
status: COMPLETED
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node_id: node_1764242455510
node_type: CONDITION
node_name: 条件分支
status: FAILED
started_at: 2025-12-06T15:23:06.169616
completed_at: 2025-12-06T15:23:06.181430
error_message: 条件评估失败: invalid syntax (<string>, line 0)
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updated_at: 2025-12-06 07:23:06
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node_id: node_1764242576489
node_type: LLM
node_name: LLM33
status: COMPLETED
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completed_at: 2025-12-06T15:23:17.002182
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input_data:
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node_id: node_1764242455510
node_type: CONDITION
node_name: 条件分支
status: FAILED
started_at: 2025-12-06T15:23:17.007497
completed_at: 2025-12-06T15:23:17.021617
error_message: 条件评估失败: invalid syntax (<string>, line 0)
created_at: 2025-12-06 07:23:17
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node_id: node_1764242576489
node_type: LLM
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status: COMPLETED
started_at: 2025-12-06T15:37:34.421803
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node_id: node_1764242455510
node_type: CONDITION
node_name: 条件分支
status: FAILED
started_at: 2025-12-06T15:37:35.823177
completed_at: 2025-12-06T15:37:35.832248
error_message: 条件评估失败: invalid syntax (<string>, line 1)
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node_id: node_1764242576489
node_type: LLM
node_name: LLM33
status: COMPLETED
started_at: 2025-12-06T15:38:16.173017
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node_id: node_1764242455510
node_type: CONDITION
node_name: 条件分支
status: FAILED
started_at: 2025-12-06T15:38:17.581906
completed_at: 2025-12-06T15:38:17.590762
error_message: 条件评估失败: invalid syntax (<string>, line 1)
created_at: 2025-12-06 07:38:17
updated_at: 2025-12-06 07:38:17
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node_id: node_1764242576489
node_type: LLM
node_name: LLM33
status: COMPLETED
started_at: 2025-12-06T15:39:56.065094
completed_at: 2025-12-06T15:39:57.767135
created_at: 2025-12-06 07:39:56
updated_at: 2025-12-06 07:39:57
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output_data:
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node_id: node_1764242455510
node_type: CONDITION
node_name: 条件分支
status: FAILED
started_at: 2025-12-06T15:39:57.782185
completed_at: 2025-12-06T15:39:57.790138
error_message: 条件评估失败: invalid syntax (<string>, line 1)
created_at: 2025-12-06 07:39:57
updated_at: 2025-12-06 07:39:57
input_data:
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node_id: node_1764242576489
node_type: LLM
node_name: LLM33
status: COMPLETED
started_at: 2025-12-06T15:41:23.715993
completed_at: 2025-12-06T15:41:26.749325
created_at: 2025-12-06 07:41:23
updated_at: 2025-12-06 07:41:26
input_data:
[cell repeats an earlier one in this file: 518 characters]

output_data:
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node_id: node_1764242455510
node_type: CONDITION
node_name: 条件分支
status: FAILED
started_at: 2025-12-06T15:41:26.754271
completed_at: 2025-12-06T15:41:26.762668
error_message: 条件评估失败: invalid syntax (<string>, line 1)
created_at: 2025-12-06 07:41:26
updated_at: 2025-12-06 07:41:26
input_data:
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node_id: start-1
node_type: START
node_name: 开始
status: COMPLETED
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started_at: 2025-12-06T15:47:48.448830
completed_at: 2025-12-06T15:47:48.460150
created_at: 2025-12-06 07:47:48
updated_at: 2025-12-06 07:47:48
output_data:
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node_id: node_1765007222031
node_type: CONDITION
node_name: 条件分支
status: FAILED
started_at: 2025-12-06T15:47:48.468272
completed_at: 2025-12-06T15:47:48.480274
error_message: 条件评估失败: invalid syntax (<string>, line 0)
created_at: 2025-12-06 07:47:48
updated_at: 2025-12-06 07:47:48
input_data:
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node_id: start-1
node_type: START
node_name: 开始
status: COMPLETED
input_data: {"user_input": {"\u6d4b\u8bd5": "12"}}
started_at: 2025-12-06T15:49:07.197771
completed_at: 2025-12-06T15:49:07.221571
created_at: 2025-12-06 07:49:07
updated_at: 2025-12-06 07:49:07
output_data:
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node_id: node_1765007309666
node_type: CONDITION
node_name: 条件分支
status: FAILED
started_at: 2025-12-06T15:49:07.231691
completed_at: 2025-12-06T15:49:07.246316
error_message: 条件评估失败: invalid syntax (<string>, line 1)
created_at: 2025-12-06 07:49:07
updated_at: 2025-12-06 07:49:07
input_data:
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node_id: start-1
node_type: START
node_name: 开始
status: COMPLETED
input_data: {"user_input": {"\u6d4b\u8bd5": 1}}
started_at: 2025-12-06T15:49:15.593600
completed_at: 2025-12-06T15:49:15.628893
created_at: 2025-12-06 07:49:15
updated_at: 2025-12-06 07:49:15
output_data:
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node_id: node_1765007309666
node_type: CONDITION
node_name: 条件分支
status: FAILED
started_at: 2025-12-06T15:49:15.637110
completed_at: 2025-12-06T15:49:15.652072
error_message: 条件评估失败: invalid syntax (<string>, line 1)
created_at: 2025-12-06 07:49:15
updated_at: 2025-12-06 07:49:15
input_data:
  {"workflow_input": {"user_input": {"\u6d4b\u8bd5": 1}}, "node_config": {"condition": ">0"}, "previous_outputs": {"start-1": {"success": true, "message": "\u5de5\u4f5c\u6d41\u5f00\u59cb", "data": {"user_input": {"\u6d4b\u8bd5": 1}}, "user_input": {"user_input": {"\u6d4b\u8bd5": 1}}}}, "resolved_inputs": {"condition_data": 1}}


node_id: start-1
node_type: START
node_name: 开始
status: COMPLETED
input_data: {"user_input": {"121": "ad"}}
started_at: 2025-12-08T10:27:37.362816
completed_at: 2025-12-08T10:27:37.375514
created_at: 2025-12-08 02:27:37
updated_at: 2025-12-08 02:27:37
output_data:
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node_id: node_1764242576489
node_type: LLM
node_name: LLM
status: COMPLETED
started_at: 2025-12-08T10:27:37.383966
completed_at: 2025-12-08T10:27:40.704536
created_at: 2025-12-08 02:27:37
updated_at: 2025-12-08 02:27:40
input_data:
[cell repeats an earlier one in this file: 176 characters]

output_data:
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node_id: node_1764240462662
node_type: END
node_name: 结束12
status: COMPLETED
output_data: {"success": true, "message": "\u5de5\u4f5c\u6d41\u7ed3\u675f", "data": {"r2": null}}
started_at: 2025-12-08T10:27:40.712809
completed_at: 2025-12-08T10:27:40.727673
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updated_at: 2025-12-08 02:27:40
input_data:
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