diff options
Diffstat (limited to 'backend/data/test/projects')
| -rw-r--r-- | backend/data/test/projects/untitled (2).json | 1868 | ||||
| -rw-r--r-- | backend/data/test/projects/untitled.json | 40 |
2 files changed, 1908 insertions, 0 deletions
diff --git a/backend/data/test/projects/untitled (2).json b/backend/data/test/projects/untitled (2).json new file mode 100644 index 0000000..5a00f0a --- /dev/null +++ b/backend/data/test/projects/untitled (2).json @@ -0,0 +1,1868 @@ +{ + "version": 1, + "nodes": [ + { + "id": "node_1765320756261", + "type": "llmNode", + "position": { + "x": 100, + "y": 100 + }, + "data": { + "label": "PDF File Count", + "model": "gpt-5.1", + "temperature": 0.7, + "systemPrompt": "", + "userPrompt": "testing search_files. Please search for pdf files in this conversation and count the number.", + "mergeStrategy": "smart", + "reasoningEffort": "medium", + "messages": [ + { + "id": "msg_1765413079192_u", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "msg_1765413079192_a", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + } + ], + "traces": [], + "outgoingTraces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + } + ] + } + ], + "forkedTraces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-u", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-a", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + } + ] + } + ], + "mergedTraces": [], + "response": "I found **1 PDF file** in this conversation: `542proposal.pdf`. ", + "status": "success", + "inputs": 1, + "activeTraceIds": [], + "attachments": [ + { + "fileId": "8a29c29f-fc55-4197-ba61-ac6fa1b5d628", + "name": "507hw_.pdf", + "providerFileId": "file-9ptprToszH4K38Mg3Qu5B6", + "expiresAt": null + } + ], + "attachedFileIds": [ + "dcf69ca5-2efa-4b8a-acec-3864a803f073" + ], + "querySentAt": 1765413043481, + "responseReceivedAt": 1765413079192 + }, + "width": 200, + "height": 64, + "selected": false, + "dragging": false, + "positionAbsolute": { + "x": 109.22690128581917, + "y": 455.2354603148382 + } + }, + { + "id": "node_1765413048314", + "type": "llmNode", + "position": { + "x": 450, + "y": 100 + }, + "data": { + "label": "Pdf Files", + "model": "gpt-5.1", + "temperature": 0.7, + "systemPrompt": "", + "userPrompt": "what about now?", + "mergeStrategy": "smart", + "reasoningEffort": "medium", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + }, + { + "id": "msg_1765415155872_u", + "role": "user", + "content": "what about now?" + }, + { + "id": "msg_1765415155872_a", + "role": "assistant", + "content": "There are now **2 PDF files** available in this conversation:\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + } + ], + "traces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + } + ] + } + ], + "outgoingTraces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + }, + { + "id": "node_1765413048314-user", + "role": "user", + "content": "what about now?" + }, + { + "id": "node_1765413048314-assistant", + "role": "assistant", + "content": "There are now **2 PDF files** available in this conversation:\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + } + ] + } + ], + "forkedTraces": [], + "mergedTraces": [], + "response": "There are now **2 PDF files** available in this conversation:\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` ", + "status": "success", + "inputs": 1, + "activeTraceIds": [ + "fork-node_1765320756261-1765413083937" + ], + "attachedFileIds": [ + "2d43e6a5-2823-4564-8beb-fef2721056f3" + ], + "querySentAt": 1765415098761, + "responseReceivedAt": 1765415155872 + }, + "width": 200, + "height": 64, + "selected": false, + "positionAbsolute": { + "x": 407.983813671746, + "y": 459.30622770179616 + }, + "dragging": false + }, + { + "id": "node_1765415177931", + "type": "llmNode", + "position": { + "x": 800, + "y": 100 + }, + "data": { + "label": "PDF Files", + "model": "gpt-5.1", + "temperature": 1, + "systemPrompt": "", + "userPrompt": "我来多做几轮测试。现在呢？", + "mergeStrategy": "smart", + "reasoningEffort": "medium", + "enableGoogleSearch": true, + "traces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + }, + { + "id": "node_1765413048314-user", + "role": "user", + "content": "what about now?" + }, + { + "id": "node_1765413048314-assistant", + "role": "assistant", + "content": "There are now **2 PDF files** available in this conversation:\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + } + ] + } + ], + "outgoingTraces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + }, + { + "id": "node_1765413048314-user", + "role": "user", + "content": "what about now?" + }, + { + "id": "node_1765413048314-assistant", + "role": "assistant", + "content": "There are now **2 PDF files** available in this conversation:\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415177931-user", + "role": "user", + "content": "我来多做几轮测试。现在呢？" + }, + { + "id": "node_1765415177931-assistant", + "role": "assistant", + "content": "现在一共存在 **2 个 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + } + ] + } + ], + "forkedTraces": [], + "mergedTraces": [], + "activeTraceIds": [], + "attachedFileIds": [], + "response": "现在一共存在 **2 个 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` ", + "status": "success", + "inputs": 1, + "querySentAt": 1765415177931, + "responseReceivedAt": 1765415177931 + }, + "width": 200, + "height": 64 + }, + { + "id": "node_1765415203978", + "type": "llmNode", + "position": { + "x": 1150, + "y": 100 + }, + "data": { + "label": "PDF Files", + "model": "gpt-5.1", + "temperature": 1, + "systemPrompt": "", + "userPrompt": "那么现在呢", + "mergeStrategy": "smart", + "reasoningEffort": "medium", + "enableGoogleSearch": true, + "traces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + }, + { + "id": "node_1765413048314-user", + "role": "user", + "content": "what about now?" + }, + { + "id": "node_1765413048314-assistant", + "role": "assistant", + "content": "There are now **2 PDF files** available in this conversation:\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415177931-user", + "role": "user", + "content": "我来多做几轮测试。现在呢？" + }, + { + "id": "node_1765415177931-assistant", + "role": "assistant", + "content": "现在一共存在 **2 个 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + } + ] + } + ], + "outgoingTraces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + }, + { + "id": "node_1765413048314-user", + "role": "user", + "content": "what about now?" + }, + { + "id": "node_1765413048314-assistant", + "role": "assistant", + "content": "There are now **2 PDF files** available in this conversation:\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415177931-user", + "role": "user", + "content": "我来多做几轮测试。现在呢？" + }, + { + "id": "node_1765415177931-assistant", + "role": "assistant", + "content": "现在一共存在 **2 个 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415203978-user", + "role": "user", + "content": "那么现在呢" + }, + { + "id": "node_1765415203978-assistant", + "role": "assistant", + "content": "现在一共有 **3 个 PDF 文件**：\n\n1. `survey_on_survey (3).pdf` fileciteturn0file0turn0file7 \n2. `ICLR_New (2).pdf` fileciteturn0file1turn0file8 \n3. `542proposal.pdf` " + } + ] + } + ], + "forkedTraces": [], + "mergedTraces": [], + "activeTraceIds": [], + "attachedFileIds": [], + "response": "现在一共有 **3 个 PDF 文件**：\n\n1. `survey_on_survey (3).pdf` fileciteturn0file0turn0file7 \n2. `ICLR_New (2).pdf` fileciteturn0file1turn0file8 \n3. `542proposal.pdf` ", + "status": "success", + "inputs": 1, + "querySentAt": 1765415203978, + "responseReceivedAt": 1765415203978 + }, + "width": 200, + "height": 64 + }, + { + "id": "node_1765415227098", + "type": "llmNode", + "position": { + "x": 1500, + "y": 100 + }, + "data": { + "label": "Citation Markers", + "model": "gpt-5.1", + "temperature": 1, + "systemPrompt": "", + "userPrompt": "”fileciteturn0file0turn0file7“这一串字符是什么？", + "mergeStrategy": "smart", + "reasoningEffort": "medium", + "enableGoogleSearch": true, + "traces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + }, + { + "id": "node_1765413048314-user", + "role": "user", + "content": "what about now?" + }, + { + "id": "node_1765413048314-assistant", + "role": "assistant", + "content": "There are now **2 PDF files** available in this conversation:\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415177931-user", + "role": "user", + "content": "我来多做几轮测试。现在呢？" + }, + { + "id": "node_1765415177931-assistant", + "role": "assistant", + "content": "现在一共存在 **2 个 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415203978-user", + "role": "user", + "content": "那么现在呢" + }, + { + "id": "node_1765415203978-assistant", + "role": "assistant", + "content": "现在一共有 **3 个 PDF 文件**：\n\n1. `survey_on_survey (3).pdf` fileciteturn0file0turn0file7 \n2. `ICLR_New (2).pdf` fileciteturn0file1turn0file8 \n3. `542proposal.pdf` " + } + ] + } + ], + "outgoingTraces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + }, + { + "id": "node_1765413048314-user", + "role": "user", + "content": "what about now?" + }, + { + "id": "node_1765413048314-assistant", + "role": "assistant", + "content": "There are now **2 PDF files** available in this conversation:\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415177931-user", + "role": "user", + "content": "我来多做几轮测试。现在呢？" + }, + { + "id": "node_1765415177931-assistant", + "role": "assistant", + "content": "现在一共存在 **2 个 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415203978-user", + "role": "user", + "content": "那么现在呢" + }, + { + "id": "node_1765415203978-assistant", + "role": "assistant", + "content": "现在一共有 **3 个 PDF 文件**：\n\n1. `survey_on_survey (3).pdf` fileciteturn0file0turn0file7 \n2. `ICLR_New (2).pdf` fileciteturn0file1turn0file8 \n3. `542proposal.pdf` " + }, + { + "id": "node_1765415227098-user", + "role": "user", + "content": "”fileciteturn0file0turn0file7“这一串字符是什么？" + }, + { + "id": "node_1765415227098-assistant", + "role": "assistant", + "content": "那一串 \n`fileciteturn0file0turn0file7` \n\n是我用来**标注文件来源的内部引用标记（citation marker）**，含义大概是：\n\n- `filecite`：说明这是一个“文件引用”的开始 \n- `turn0file0`、`turn0file7`：指向本对话中由你上传的具体文件（第 0 轮的第 0 个文件、第 7 个文件之类的内部编号） \n- ``：引用标记的结束符 \n\n这些标记主要是给系统用来“知道这句话是根据哪些文件内容回答的”，对你来说可以把它当成**文献引用**一样的东西，并不属于 PDF 文件的正文内容。" + } + ] + } + ], + "forkedTraces": [], + "mergedTraces": [], + "activeTraceIds": [], + "attachedFileIds": [], + "response": "那一串 \n`fileciteturn0file0turn0file7` \n\n是我用来**标注文件来源的内部引用标记（citation marker）**，含义大概是：\n\n- `filecite`：说明这是一个“文件引用”的开始 \n- `turn0file0`、`turn0file7`：指向本对话中由你上传的具体文件（第 0 轮的第 0 个文件、第 7 个文件之类的内部编号） \n- ``：引用标记的结束符 \n\n这些标记主要是给系统用来“知道这句话是根据哪些文件内容回答的”，对你来说可以把它当成**文献引用**一样的东西，并不属于 PDF 文件的正文内容。", + "status": "success", + "inputs": 1, + "querySentAt": 1765415227098, + "responseReceivedAt": 1765415227098 + }, + "width": 200, + "height": 64 + }, + { + "id": "node_1765415275416", + "type": "llmNode", + "position": { + "x": 1850, + "y": 100 + }, + "data": { + "label": "OpenAI Citation Rendering", + "model": "gpt-5.1", + "temperature": 1, + "systemPrompt": "", + "userPrompt": "openai平时是怎么渲染这个引用字符的？我在自己搭建前端", + "mergeStrategy": "smart", + "reasoningEffort": "medium", + "enableGoogleSearch": true, + "traces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + }, + { + "id": "node_1765413048314-user", + "role": "user", + "content": "what about now?" + }, + { + "id": "node_1765413048314-assistant", + "role": "assistant", + "content": "There are now **2 PDF files** available in this conversation:\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415177931-user", + "role": "user", + "content": "我来多做几轮测试。现在呢？" + }, + { + "id": "node_1765415177931-assistant", + "role": "assistant", + "content": "现在一共存在 **2 个 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415203978-user", + "role": "user", + "content": "那么现在呢" + }, + { + "id": "node_1765415203978-assistant", + "role": "assistant", + "content": "现在一共有 **3 个 PDF 文件**：\n\n1. `survey_on_survey (3).pdf` fileciteturn0file0turn0file7 \n2. `ICLR_New (2).pdf` fileciteturn0file1turn0file8 \n3. `542proposal.pdf` " + }, + { + "id": "node_1765415227098-user", + "role": "user", + "content": "”fileciteturn0file0turn0file7“这一串字符是什么？" + }, + { + "id": "node_1765415227098-assistant", + "role": "assistant", + "content": "那一串 \n`fileciteturn0file0turn0file7` \n\n是我用来**标注文件来源的内部引用标记（citation marker）**，含义大概是：\n\n- `filecite`：说明这是一个“文件引用”的开始 \n- `turn0file0`、`turn0file7`：指向本对话中由你上传的具体文件（第 0 轮的第 0 个文件、第 7 个文件之类的内部编号） \n- ``：引用标记的结束符 \n\n这些标记主要是给系统用来“知道这句话是根据哪些文件内容回答的”，对你来说可以把它当成**文献引用**一样的东西，并不属于 PDF 文件的正文内容。" + } + ] + } + ], + "outgoingTraces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + }, + { + "id": "node_1765413048314-user", + "role": "user", + "content": "what about now?" + }, + { + "id": "node_1765413048314-assistant", + "role": "assistant", + "content": "There are now **2 PDF files** available in this conversation:\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415177931-user", + "role": "user", + "content": "我来多做几轮测试。现在呢？" + }, + { + "id": "node_1765415177931-assistant", + "role": "assistant", + "content": "现在一共存在 **2 个 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415203978-user", + "role": "user", + "content": "那么现在呢" + }, + { + "id": "node_1765415203978-assistant", + "role": "assistant", + "content": "现在一共有 **3 个 PDF 文件**：\n\n1. `survey_on_survey (3).pdf` fileciteturn0file0turn0file7 \n2. `ICLR_New (2).pdf` fileciteturn0file1turn0file8 \n3. `542proposal.pdf` " + }, + { + "id": "node_1765415227098-user", + "role": "user", + "content": "”fileciteturn0file0turn0file7“这一串字符是什么？" + }, + { + "id": "node_1765415227098-assistant", + "role": "assistant", + "content": "那一串 \n`fileciteturn0file0turn0file7` \n\n是我用来**标注文件来源的内部引用标记（citation marker）**，含义大概是：\n\n- `filecite`：说明这是一个“文件引用”的开始 \n- `turn0file0`、`turn0file7`：指向本对话中由你上传的具体文件（第 0 轮的第 0 个文件、第 7 个文件之类的内部编号） \n- ``：引用标记的结束符 \n\n这些标记主要是给系统用来“知道这句话是根据哪些文件内容回答的”，对你来说可以把它当成**文献引用**一样的东西，并不属于 PDF 文件的正文内容。" + }, + { + "id": "node_1765415275416-user", + "role": "user", + "content": "openai平时是怎么渲染这个引用字符的？我在自己搭建前端" + }, + { + "id": "node_1765415275416-assistant", + "role": "assistant", + "content": "简单说： \n这些 `filecite...` 不应该直接展示给用户看，前端要**拦截并自己渲染成“引用小标签”**。\n\n虽然 OpenAI 没有公开一份“官方前端实现规范”，但在 ChatGPT 里，大致是这样处理的：\n\n1. **模型返回的原始文本里带有这串标记**： \n `…… survey_on_survey (3).pdf fileciteturn0file0turn0file7` \n\n2. **前端在展示前做一次解析**： \n - 用正则把所有 `filecite ... ` 找出来 \n - 拆成若干个 id：`turn0file0`, `turn0file7` \n - 根据这些 id 去你自己的文件元数据表里拿：文件名、类型、页码链接等 \n\n3. **把这段标记替换为你想要的 UI 元素**，比如：\n - 一个小上标的引用号：`[1]`、`[2]` \n - 或一个带文件名的 tag / pill：`[survey_on_survey (3).pdf]` \n - 鼠标 hover / 点击后弹出：**文件名 + “打开文件 / 跳转到页码”按钮**\n\n示例实现思路（伪代码）：\n\n```ts\nconst CITATION_RE = /filecite([^]+)/g;\n\nfunction renderWithCitations(text, fileMetaMap) {\n return text.replace(CITATION_RE, (match, inner) => {\n const ids = inner.split(\"\"); // [\"turn0file0\", \"turn0file7\"]\n // 这里你可以把 ids 映射成编号 [1] / [2]，或直接显示文件名\n const label = \"[\" + ids.map(id => fileMetaMap[id]?.displayIndex ?? \"?\").join(\",\") + \"]\";\n // 实际前端中可以渲染成组件，这里用纯文本代替\n return label;\n });\n}\n```\n\n所以在自己搭前端时，可以按这个思路做：\n\n- 把 `filecite...` 当成**纯结构化标记** \n- 前端负责把它转换成：**引用编号 / tag / 弹窗等 UI** \n- 用户最终不会看到这些奇怪字符，只看到你设计的引用样式即可。" + } + ] + } + ], + "forkedTraces": [], + "mergedTraces": [], + "activeTraceIds": [ + "fork-node_1765320756261-1765413083937" + ], + "attachedFileIds": [], + "response": "简单说： \n这些 `filecite...` 不应该直接展示给用户看，前端要**拦截并自己渲染成“引用小标签”**。\n\n虽然 OpenAI 没有公开一份“官方前端实现规范”，但在 ChatGPT 里，大致是这样处理的：\n\n1. **模型返回的原始文本里带有这串标记**： \n `…… survey_on_survey (3).pdf fileciteturn0file0turn0file7` \n\n2. **前端在展示前做一次解析**： \n - 用正则把所有 `filecite ... ` 找出来 \n - 拆成若干个 id：`turn0file0`, `turn0file7` \n - 根据这些 id 去你自己的文件元数据表里拿：文件名、类型、页码链接等 \n\n3. **把这段标记替换为你想要的 UI 元素**，比如：\n - 一个小上标的引用号：`[1]`、`[2]` \n - 或一个带文件名的 tag / pill：`[survey_on_survey (3).pdf]` \n - 鼠标 hover / 点击后弹出：**文件名 + “打开文件 / 跳转到页码”按钮**\n\n示例实现思路（伪代码）：\n\n```ts\nconst CITATION_RE = /filecite([^]+)/g;\n\nfunction renderWithCitations(text, fileMetaMap) {\n return text.replace(CITATION_RE, (match, inner) => {\n const ids = inner.split(\"\"); // [\"turn0file0\", \"turn0file7\"]\n // 这里你可以把 ids 映射成编号 [1] / [2]，或直接显示文件名\n const label = \"[\" + ids.map(id => fileMetaMap[id]?.displayIndex ?? \"?\").join(\",\") + \"]\";\n // 实际前端中可以渲染成组件，这里用纯文本代替\n return label;\n });\n}\n```\n\n所以在自己搭前端时，可以按这个思路做：\n\n- 把 `filecite...` 当成**纯结构化标记** \n- 前端负责把它转换成：**引用编号 / tag / 弹窗等 UI** \n- 用户最终不会看到这些奇怪字符，只看到你设计的引用样式即可。", + "status": "success", + "inputs": 1, + "querySentAt": 1765415275416, + "responseReceivedAt": 1765415275416 + }, + "width": 226, + "height": 64, + "selected": false, + "positionAbsolute": { + "x": 1851.1486983549971, + "y": 100 + }, + "dragging": false + }, + { + "id": "node_1765415709294", + "type": "llmNode", + "position": { + "x": 2200, + "y": 100 + }, + "data": { + "label": "Available PDFs", + "model": "gpt-5.1", + "temperature": 1, + "systemPrompt": "", + "userPrompt": "现在呢", + "mergeStrategy": "smart", + "reasoningEffort": "medium", + "enableGoogleSearch": true, + "traces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + }, + { + "id": "node_1765413048314-user", + "role": "user", + "content": "what about now?" + }, + { + "id": "node_1765413048314-assistant", + "role": "assistant", + "content": "There are now **2 PDF files** available in this conversation:\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415177931-user", + "role": "user", + "content": "我来多做几轮测试。现在呢？" + }, + { + "id": "node_1765415177931-assistant", + "role": "assistant", + "content": "现在一共存在 **2 个 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415203978-user", + "role": "user", + "content": "那么现在呢" + }, + { + "id": "node_1765415203978-assistant", + "role": "assistant", + "content": "现在一共有 **3 个 PDF 文件**：\n\n1. `survey_on_survey (3).pdf` fileciteturn0file0turn0file7 \n2. `ICLR_New (2).pdf` fileciteturn0file1turn0file8 \n3. `542proposal.pdf` " + }, + { + "id": "node_1765415227098-user", + "role": "user", + "content": "”fileciteturn0file0turn0file7“这一串字符是什么？" + }, + { + "id": "node_1765415227098-assistant", + "role": "assistant", + "content": "那一串 \n`fileciteturn0file0turn0file7` \n\n是我用来**标注文件来源的内部引用标记（citation marker）**，含义大概是：\n\n- `filecite`：说明这是一个“文件引用”的开始 \n- `turn0file0`、`turn0file7`：指向本对话中由你上传的具体文件（第 0 轮的第 0 个文件、第 7 个文件之类的内部编号） \n- ``：引用标记的结束符 \n\n这些标记主要是给系统用来“知道这句话是根据哪些文件内容回答的”，对你来说可以把它当成**文献引用**一样的东西，并不属于 PDF 文件的正文内容。" + }, + { + "id": "node_1765415275416-user", + "role": "user", + "content": "openai平时是怎么渲染这个引用字符的？我在自己搭建前端" + }, + { + "id": "node_1765415275416-assistant", + "role": "assistant", + "content": "简单说： \n这些 `filecite...` 不应该直接展示给用户看，前端要**拦截并自己渲染成“引用小标签”**。\n\n虽然 OpenAI 没有公开一份“官方前端实现规范”，但在 ChatGPT 里，大致是这样处理的：\n\n1. **模型返回的原始文本里带有这串标记**： \n `…… survey_on_survey (3).pdf fileciteturn0file0turn0file7` \n\n2. **前端在展示前做一次解析**： \n - 用正则把所有 `filecite ... ` 找出来 \n - 拆成若干个 id：`turn0file0`, `turn0file7` \n - 根据这些 id 去你自己的文件元数据表里拿：文件名、类型、页码链接等 \n\n3. **把这段标记替换为你想要的 UI 元素**，比如：\n - 一个小上标的引用号：`[1]`、`[2]` \n - 或一个带文件名的 tag / pill：`[survey_on_survey (3).pdf]` \n - 鼠标 hover / 点击后弹出：**文件名 + “打开文件 / 跳转到页码”按钮**\n\n示例实现思路（伪代码）：\n\n```ts\nconst CITATION_RE = /filecite([^]+)/g;\n\nfunction renderWithCitations(text, fileMetaMap) {\n return text.replace(CITATION_RE, (match, inner) => {\n const ids = inner.split(\"\"); // [\"turn0file0\", \"turn0file7\"]\n // 这里你可以把 ids 映射成编号 [1] / [2]，或直接显示文件名\n const label = \"[\" + ids.map(id => fileMetaMap[id]?.displayIndex ?? \"?\").join(\",\") + \"]\";\n // 实际前端中可以渲染成组件，这里用纯文本代替\n return label;\n });\n}\n```\n\n所以在自己搭前端时，可以按这个思路做：\n\n- 把 `filecite...` 当成**纯结构化标记** \n- 前端负责把它转换成：**引用编号 / tag / 弹窗等 UI** \n- 用户最终不会看到这些奇怪字符，只看到你设计的引用样式即可。" + } + ] + } + ], + "outgoingTraces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + }, + { + "id": "node_1765413048314-user", + "role": "user", + "content": "what about now?" + }, + { + "id": "node_1765413048314-assistant", + "role": "assistant", + "content": "There are now **2 PDF files** available in this conversation:\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415177931-user", + "role": "user", + "content": "我来多做几轮测试。现在呢？" + }, + { + "id": "node_1765415177931-assistant", + "role": "assistant", + "content": "现在一共存在 **2 个 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415203978-user", + "role": "user", + "content": "那么现在呢" + }, + { + "id": "node_1765415203978-assistant", + "role": "assistant", + "content": "现在一共有 **3 个 PDF 文件**：\n\n1. `survey_on_survey (3).pdf` fileciteturn0file0turn0file7 \n2. `ICLR_New (2).pdf` fileciteturn0file1turn0file8 \n3. `542proposal.pdf` " + }, + { + "id": "node_1765415227098-user", + "role": "user", + "content": "”fileciteturn0file0turn0file7“这一串字符是什么？" + }, + { + "id": "node_1765415227098-assistant", + "role": "assistant", + "content": "那一串 \n`fileciteturn0file0turn0file7` \n\n是我用来**标注文件来源的内部引用标记（citation marker）**，含义大概是：\n\n- `filecite`：说明这是一个“文件引用”的开始 \n- `turn0file0`、`turn0file7`：指向本对话中由你上传的具体文件（第 0 轮的第 0 个文件、第 7 个文件之类的内部编号） \n- ``：引用标记的结束符 \n\n这些标记主要是给系统用来“知道这句话是根据哪些文件内容回答的”，对你来说可以把它当成**文献引用**一样的东西，并不属于 PDF 文件的正文内容。" + }, + { + "id": "node_1765415275416-user", + "role": "user", + "content": "openai平时是怎么渲染这个引用字符的？我在自己搭建前端" + }, + { + "id": "node_1765415275416-assistant", + "role": "assistant", + "content": "简单说： \n这些 `filecite...` 不应该直接展示给用户看，前端要**拦截并自己渲染成“引用小标签”**。\n\n虽然 OpenAI 没有公开一份“官方前端实现规范”，但在 ChatGPT 里，大致是这样处理的：\n\n1. **模型返回的原始文本里带有这串标记**： \n `…… survey_on_survey (3).pdf fileciteturn0file0turn0file7` \n\n2. **前端在展示前做一次解析**： \n - 用正则把所有 `filecite ... ` 找出来 \n - 拆成若干个 id：`turn0file0`, `turn0file7` \n - 根据这些 id 去你自己的文件元数据表里拿：文件名、类型、页码链接等 \n\n3. **把这段标记替换为你想要的 UI 元素**，比如：\n - 一个小上标的引用号：`[1]`、`[2]` \n - 或一个带文件名的 tag / pill：`[survey_on_survey (3).pdf]` \n - 鼠标 hover / 点击后弹出：**文件名 + “打开文件 / 跳转到页码”按钮**\n\n示例实现思路（伪代码）：\n\n```ts\nconst CITATION_RE = /filecite([^]+)/g;\n\nfunction renderWithCitations(text, fileMetaMap) {\n return text.replace(CITATION_RE, (match, inner) => {\n const ids = inner.split(\"\"); // [\"turn0file0\", \"turn0file7\"]\n // 这里你可以把 ids 映射成编号 [1] / [2]，或直接显示文件名\n const label = \"[\" + ids.map(id => fileMetaMap[id]?.displayIndex ?? \"?\").join(\",\") + \"]\";\n // 实际前端中可以渲染成组件，这里用纯文本代替\n return label;\n });\n}\n```\n\n所以在自己搭前端时，可以按这个思路做：\n\n- 把 `filecite...` 当成**纯结构化标记** \n- 前端负责把它转换成：**引用编号 / tag / 弹窗等 UI** \n- 用户最终不会看到这些奇怪字符，只看到你设计的引用样式即可。" + }, + { + "id": "node_1765415709294-user", + "role": "user", + "content": "现在呢" + }, + { + "id": "node_1765415709294-assistant", + "role": "assistant", + "content": "现在一共有 **2 个不同的 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `survey_on_survey (3).pdf` \n\n你之前提到的 `542proposal.pdf` 在当前这轮对话中已经不在可用文件列表里了，所以现在只看到这两个。" + } + ] + } + ], + "forkedTraces": [], + "mergedTraces": [], + "activeTraceIds": [], + "attachedFileIds": [], + "response": "现在一共有 **2 个不同的 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `survey_on_survey (3).pdf` \n\n你之前提到的 `542proposal.pdf` 在当前这轮对话中已经不在可用文件列表里了，所以现在只看到这两个。", + "status": "success", + "inputs": 1, + "querySentAt": 1765415709294, + "responseReceivedAt": 1765415709294 + }, + "width": 200, + "height": 64 + }, + { + "id": "node_1765415741441", + "type": "llmNode", + "position": { + "x": 2550, + "y": 100 + }, + "data": { + "label": "Accessible PDFs", + "model": "gpt-5.1", + "temperature": 1, + "systemPrompt": "", + "userPrompt": "再试试？不应该啊", + "mergeStrategy": "smart", + "reasoningEffort": "medium", + "enableGoogleSearch": true, + "traces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + }, + { + "id": "node_1765413048314-user", + "role": "user", + "content": "what about now?" + }, + { + "id": "node_1765413048314-assistant", + "role": "assistant", + "content": "There are now **2 PDF files** available in this conversation:\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415177931-user", + "role": "user", + "content": "我来多做几轮测试。现在呢？" + }, + { + "id": "node_1765415177931-assistant", + "role": "assistant", + "content": "现在一共存在 **2 个 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415203978-user", + "role": "user", + "content": "那么现在呢" + }, + { + "id": "node_1765415203978-assistant", + "role": "assistant", + "content": "现在一共有 **3 个 PDF 文件**：\n\n1. `survey_on_survey (3).pdf` fileciteturn0file0turn0file7 \n2. `ICLR_New (2).pdf` fileciteturn0file1turn0file8 \n3. `542proposal.pdf` " + }, + { + "id": "node_1765415227098-user", + "role": "user", + "content": "”fileciteturn0file0turn0file7“这一串字符是什么？" + }, + { + "id": "node_1765415227098-assistant", + "role": "assistant", + "content": "那一串 \n`fileciteturn0file0turn0file7` \n\n是我用来**标注文件来源的内部引用标记（citation marker）**，含义大概是：\n\n- `filecite`：说明这是一个“文件引用”的开始 \n- `turn0file0`、`turn0file7`：指向本对话中由你上传的具体文件（第 0 轮的第 0 个文件、第 7 个文件之类的内部编号） \n- ``：引用标记的结束符 \n\n这些标记主要是给系统用来“知道这句话是根据哪些文件内容回答的”，对你来说可以把它当成**文献引用**一样的东西，并不属于 PDF 文件的正文内容。" + }, + { + "id": "node_1765415275416-user", + "role": "user", + "content": "openai平时是怎么渲染这个引用字符的？我在自己搭建前端" + }, + { + "id": "node_1765415275416-assistant", + "role": "assistant", + "content": "简单说： \n这些 `filecite...` 不应该直接展示给用户看，前端要**拦截并自己渲染成“引用小标签”**。\n\n虽然 OpenAI 没有公开一份“官方前端实现规范”，但在 ChatGPT 里，大致是这样处理的：\n\n1. **模型返回的原始文本里带有这串标记**： \n `…… survey_on_survey (3).pdf fileciteturn0file0turn0file7` \n\n2. **前端在展示前做一次解析**： \n - 用正则把所有 `filecite ... ` 找出来 \n - 拆成若干个 id：`turn0file0`, `turn0file7` \n - 根据这些 id 去你自己的文件元数据表里拿：文件名、类型、页码链接等 \n\n3. **把这段标记替换为你想要的 UI 元素**，比如：\n - 一个小上标的引用号：`[1]`、`[2]` \n - 或一个带文件名的 tag / pill：`[survey_on_survey (3).pdf]` \n - 鼠标 hover / 点击后弹出：**文件名 + “打开文件 / 跳转到页码”按钮**\n\n示例实现思路（伪代码）：\n\n```ts\nconst CITATION_RE = /filecite([^]+)/g;\n\nfunction renderWithCitations(text, fileMetaMap) {\n return text.replace(CITATION_RE, (match, inner) => {\n const ids = inner.split(\"\"); // [\"turn0file0\", \"turn0file7\"]\n // 这里你可以把 ids 映射成编号 [1] / [2]，或直接显示文件名\n const label = \"[\" + ids.map(id => fileMetaMap[id]?.displayIndex ?? \"?\").join(\",\") + \"]\";\n // 实际前端中可以渲染成组件，这里用纯文本代替\n return label;\n });\n}\n```\n\n所以在自己搭前端时，可以按这个思路做：\n\n- 把 `filecite...` 当成**纯结构化标记** \n- 前端负责把它转换成：**引用编号 / tag / 弹窗等 UI** \n- 用户最终不会看到这些奇怪字符，只看到你设计的引用样式即可。" + }, + { + "id": "node_1765415709294-user", + "role": "user", + "content": "现在呢" + }, + { + "id": "node_1765415709294-assistant", + "role": "assistant", + "content": "现在一共有 **2 个不同的 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `survey_on_survey (3).pdf` \n\n你之前提到的 `542proposal.pdf` 在当前这轮对话中已经不在可用文件列表里了，所以现在只看到这两个。" + } + ] + } + ], + "outgoingTraces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + }, + { + "id": "node_1765413048314-user", + "role": "user", + "content": "what about now?" + }, + { + "id": "node_1765413048314-assistant", + "role": "assistant", + "content": "There are now **2 PDF files** available in this conversation:\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415177931-user", + "role": "user", + "content": "我来多做几轮测试。现在呢？" + }, + { + "id": "node_1765415177931-assistant", + "role": "assistant", + "content": "现在一共存在 **2 个 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415203978-user", + "role": "user", + "content": "那么现在呢" + }, + { + "id": "node_1765415203978-assistant", + "role": "assistant", + "content": "现在一共有 **3 个 PDF 文件**：\n\n1. `survey_on_survey (3).pdf` fileciteturn0file0turn0file7 \n2. `ICLR_New (2).pdf` fileciteturn0file1turn0file8 \n3. `542proposal.pdf` " + }, + { + "id": "node_1765415227098-user", + "role": "user", + "content": "”fileciteturn0file0turn0file7“这一串字符是什么？" + }, + { + "id": "node_1765415227098-assistant", + "role": "assistant", + "content": "那一串 \n`fileciteturn0file0turn0file7` \n\n是我用来**标注文件来源的内部引用标记（citation marker）**，含义大概是：\n\n- `filecite`：说明这是一个“文件引用”的开始 \n- `turn0file0`、`turn0file7`：指向本对话中由你上传的具体文件（第 0 轮的第 0 个文件、第 7 个文件之类的内部编号） \n- ``：引用标记的结束符 \n\n这些标记主要是给系统用来“知道这句话是根据哪些文件内容回答的”，对你来说可以把它当成**文献引用**一样的东西，并不属于 PDF 文件的正文内容。" + }, + { + "id": "node_1765415275416-user", + "role": "user", + "content": "openai平时是怎么渲染这个引用字符的？我在自己搭建前端" + }, + { + "id": "node_1765415275416-assistant", + "role": "assistant", + "content": "简单说： \n这些 `filecite...` 不应该直接展示给用户看，前端要**拦截并自己渲染成“引用小标签”**。\n\n虽然 OpenAI 没有公开一份“官方前端实现规范”，但在 ChatGPT 里，大致是这样处理的：\n\n1. **模型返回的原始文本里带有这串标记**： \n `…… survey_on_survey (3).pdf fileciteturn0file0turn0file7` \n\n2. **前端在展示前做一次解析**： \n - 用正则把所有 `filecite ... ` 找出来 \n - 拆成若干个 id：`turn0file0`, `turn0file7` \n - 根据这些 id 去你自己的文件元数据表里拿：文件名、类型、页码链接等 \n\n3. **把这段标记替换为你想要的 UI 元素**，比如：\n - 一个小上标的引用号：`[1]`、`[2]` \n - 或一个带文件名的 tag / pill：`[survey_on_survey (3).pdf]` \n - 鼠标 hover / 点击后弹出：**文件名 + “打开文件 / 跳转到页码”按钮**\n\n示例实现思路（伪代码）：\n\n```ts\nconst CITATION_RE = /filecite([^]+)/g;\n\nfunction renderWithCitations(text, fileMetaMap) {\n return text.replace(CITATION_RE, (match, inner) => {\n const ids = inner.split(\"\"); // [\"turn0file0\", \"turn0file7\"]\n // 这里你可以把 ids 映射成编号 [1] / [2]，或直接显示文件名\n const label = \"[\" + ids.map(id => fileMetaMap[id]?.displayIndex ?? \"?\").join(\",\") + \"]\";\n // 实际前端中可以渲染成组件，这里用纯文本代替\n return label;\n });\n}\n```\n\n所以在自己搭前端时，可以按这个思路做：\n\n- 把 `filecite...` 当成**纯结构化标记** \n- 前端负责把它转换成：**引用编号 / tag / 弹窗等 UI** \n- 用户最终不会看到这些奇怪字符，只看到你设计的引用样式即可。" + }, + { + "id": "node_1765415709294-user", + "role": "user", + "content": "现在呢" + }, + { + "id": "node_1765415709294-assistant", + "role": "assistant", + "content": "现在一共有 **2 个不同的 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `survey_on_survey (3).pdf` \n\n你之前提到的 `542proposal.pdf` 在当前这轮对话中已经不在可用文件列表里了，所以现在只看到这两个。" + }, + { + "id": "node_1765415741441-user", + "role": "user", + "content": "再试试？不应该啊" + }, + { + "id": "node_1765415741441-assistant", + "role": "assistant", + "content": "现在这一轮里，我能看到并访问到的 PDF 文件有 **2 个**：\n\n1. `ICLR_New (2).pdf` \n2. `survey_on_survey (3).pdf` \n\n之前的 `542proposal.pdf` 当前这次工具返回的列表里已经没有了，所以现在只统计到这两个。" + } + ] + } + ], + "forkedTraces": [], + "mergedTraces": [], + "activeTraceIds": [ + "fork-node_1765320756261-1765413083937" + ], + "attachedFileIds": [], + "response": "现在这一轮里，我能看到并访问到的 PDF 文件有 **2 个**：\n\n1. `ICLR_New (2).pdf` \n2. `survey_on_survey (3).pdf` \n\n之前的 `542proposal.pdf` 当前这次工具返回的列表里已经没有了，所以现在只统计到这两个。", + "status": "success", + "inputs": 1, + "querySentAt": 1765415741441, + "responseReceivedAt": 1765415741441 + }, + "width": 200, + "height": 64, + "selected": false, + "dragging": false + }, + { + "id": "node_1765416202831", + "type": "llmNode", + "position": { + "x": 2850, + "y": 100 + }, + "data": { + "label": "CV PDF", + "model": "gpt-5.1", + "temperature": 1, + "systemPrompt": "", + "userPrompt": "现在呢", + "mergeStrategy": "smart", + "reasoningEffort": "medium", + "enableGoogleSearch": true, + "traces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + }, + { + "id": "node_1765413048314-user", + "role": "user", + "content": "what about now?" + }, + { + "id": "node_1765413048314-assistant", + "role": "assistant", + "content": "There are now **2 PDF files** available in this conversation:\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415177931-user", + "role": "user", + "content": "我来多做几轮测试。现在呢？" + }, + { + "id": "node_1765415177931-assistant", + "role": "assistant", + "content": "现在一共存在 **2 个 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415203978-user", + "role": "user", + "content": "那么现在呢" + }, + { + "id": "node_1765415203978-assistant", + "role": "assistant", + "content": "现在一共有 **3 个 PDF 文件**：\n\n1. `survey_on_survey (3).pdf` fileciteturn0file0turn0file7 \n2. `ICLR_New (2).pdf` fileciteturn0file1turn0file8 \n3. `542proposal.pdf` " + }, + { + "id": "node_1765415227098-user", + "role": "user", + "content": "”fileciteturn0file0turn0file7“这一串字符是什么？" + }, + { + "id": "node_1765415227098-assistant", + "role": "assistant", + "content": "那一串 \n`fileciteturn0file0turn0file7` \n\n是我用来**标注文件来源的内部引用标记（citation marker）**，含义大概是：\n\n- `filecite`：说明这是一个“文件引用”的开始 \n- `turn0file0`、`turn0file7`：指向本对话中由你上传的具体文件（第 0 轮的第 0 个文件、第 7 个文件之类的内部编号） \n- ``：引用标记的结束符 \n\n这些标记主要是给系统用来“知道这句话是根据哪些文件内容回答的”，对你来说可以把它当成**文献引用**一样的东西，并不属于 PDF 文件的正文内容。" + }, + { + "id": "node_1765415275416-user", + "role": "user", + "content": "openai平时是怎么渲染这个引用字符的？我在自己搭建前端" + }, + { + "id": "node_1765415275416-assistant", + "role": "assistant", + "content": "简单说： \n这些 `filecite...` 不应该直接展示给用户看，前端要**拦截并自己渲染成“引用小标签”**。\n\n虽然 OpenAI 没有公开一份“官方前端实现规范”，但在 ChatGPT 里，大致是这样处理的：\n\n1. **模型返回的原始文本里带有这串标记**： \n `…… survey_on_survey (3).pdf fileciteturn0file0turn0file7` \n\n2. **前端在展示前做一次解析**： \n - 用正则把所有 `filecite ... ` 找出来 \n - 拆成若干个 id：`turn0file0`, `turn0file7` \n - 根据这些 id 去你自己的文件元数据表里拿：文件名、类型、页码链接等 \n\n3. **把这段标记替换为你想要的 UI 元素**，比如：\n - 一个小上标的引用号：`[1]`、`[2]` \n - 或一个带文件名的 tag / pill：`[survey_on_survey (3).pdf]` \n - 鼠标 hover / 点击后弹出：**文件名 + “打开文件 / 跳转到页码”按钮**\n\n示例实现思路（伪代码）：\n\n```ts\nconst CITATION_RE = /filecite([^]+)/g;\n\nfunction renderWithCitations(text, fileMetaMap) {\n return text.replace(CITATION_RE, (match, inner) => {\n const ids = inner.split(\"\"); // [\"turn0file0\", \"turn0file7\"]\n // 这里你可以把 ids 映射成编号 [1] / [2]，或直接显示文件名\n const label = \"[\" + ids.map(id => fileMetaMap[id]?.displayIndex ?? \"?\").join(\",\") + \"]\";\n // 实际前端中可以渲染成组件，这里用纯文本代替\n return label;\n });\n}\n```\n\n所以在自己搭前端时，可以按这个思路做：\n\n- 把 `filecite...` 当成**纯结构化标记** \n- 前端负责把它转换成：**引用编号 / tag / 弹窗等 UI** \n- 用户最终不会看到这些奇怪字符，只看到你设计的引用样式即可。" + }, + { + "id": "node_1765415709294-user", + "role": "user", + "content": "现在呢" + }, + { + "id": "node_1765415709294-assistant", + "role": "assistant", + "content": "现在一共有 **2 个不同的 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `survey_on_survey (3).pdf` \n\n你之前提到的 `542proposal.pdf` 在当前这轮对话中已经不在可用文件列表里了，所以现在只看到这两个。" + }, + { + "id": "node_1765415741441-user", + "role": "user", + "content": "再试试？不应该啊" + }, + { + "id": "node_1765415741441-assistant", + "role": "assistant", + "content": "现在这一轮里，我能看到并访问到的 PDF 文件有 **2 个**：\n\n1. `ICLR_New (2).pdf` \n2. `survey_on_survey (3).pdf` \n\n之前的 `542proposal.pdf` 当前这次工具返回的列表里已经没有了，所以现在只统计到这两个。" + } + ] + } + ], + "outgoingTraces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + }, + { + "id": "node_1765413048314-user", + "role": "user", + "content": "what about now?" + }, + { + "id": "node_1765413048314-assistant", + "role": "assistant", + "content": "There are now **2 PDF files** available in this conversation:\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415177931-user", + "role": "user", + "content": "我来多做几轮测试。现在呢？" + }, + { + "id": "node_1765415177931-assistant", + "role": "assistant", + "content": "现在一共存在 **2 个 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415203978-user", + "role": "user", + "content": "那么现在呢" + }, + { + "id": "node_1765415203978-assistant", + "role": "assistant", + "content": "现在一共有 **3 个 PDF 文件**：\n\n1. `survey_on_survey (3).pdf` fileciteturn0file0turn0file7 \n2. `ICLR_New (2).pdf` fileciteturn0file1turn0file8 \n3. `542proposal.pdf` " + }, + { + "id": "node_1765415227098-user", + "role": "user", + "content": "”fileciteturn0file0turn0file7“这一串字符是什么？" + }, + { + "id": "node_1765415227098-assistant", + "role": "assistant", + "content": "那一串 \n`fileciteturn0file0turn0file7` \n\n是我用来**标注文件来源的内部引用标记（citation marker）**，含义大概是：\n\n- `filecite`：说明这是一个“文件引用”的开始 \n- `turn0file0`、`turn0file7`：指向本对话中由你上传的具体文件（第 0 轮的第 0 个文件、第 7 个文件之类的内部编号） \n- ``：引用标记的结束符 \n\n这些标记主要是给系统用来“知道这句话是根据哪些文件内容回答的”，对你来说可以把它当成**文献引用**一样的东西，并不属于 PDF 文件的正文内容。" + }, + { + "id": "node_1765415275416-user", + "role": "user", + "content": "openai平时是怎么渲染这个引用字符的？我在自己搭建前端" + }, + { + "id": "node_1765415275416-assistant", + "role": "assistant", + "content": "简单说： \n这些 `filecite...` 不应该直接展示给用户看，前端要**拦截并自己渲染成“引用小标签”**。\n\n虽然 OpenAI 没有公开一份“官方前端实现规范”，但在 ChatGPT 里，大致是这样处理的：\n\n1. **模型返回的原始文本里带有这串标记**： \n `…… survey_on_survey (3).pdf fileciteturn0file0turn0file7` \n\n2. **前端在展示前做一次解析**： \n - 用正则把所有 `filecite ... ` 找出来 \n - 拆成若干个 id：`turn0file0`, `turn0file7` \n - 根据这些 id 去你自己的文件元数据表里拿：文件名、类型、页码链接等 \n\n3. **把这段标记替换为你想要的 UI 元素**，比如：\n - 一个小上标的引用号：`[1]`、`[2]` \n - 或一个带文件名的 tag / pill：`[survey_on_survey (3).pdf]` \n - 鼠标 hover / 点击后弹出：**文件名 + “打开文件 / 跳转到页码”按钮**\n\n示例实现思路（伪代码）：\n\n```ts\nconst CITATION_RE = /filecite([^]+)/g;\n\nfunction renderWithCitations(text, fileMetaMap) {\n return text.replace(CITATION_RE, (match, inner) => {\n const ids = inner.split(\"\"); // [\"turn0file0\", \"turn0file7\"]\n // 这里你可以把 ids 映射成编号 [1] / [2]，或直接显示文件名\n const label = \"[\" + ids.map(id => fileMetaMap[id]?.displayIndex ?? \"?\").join(\",\") + \"]\";\n // 实际前端中可以渲染成组件，这里用纯文本代替\n return label;\n });\n}\n```\n\n所以在自己搭前端时，可以按这个思路做：\n\n- 把 `filecite...` 当成**纯结构化标记** \n- 前端负责把它转换成：**引用编号 / tag / 弹窗等 UI** \n- 用户最终不会看到这些奇怪字符，只看到你设计的引用样式即可。" + }, + { + "id": "node_1765415709294-user", + "role": "user", + "content": "现在呢" + }, + { + "id": "node_1765415709294-assistant", + "role": "assistant", + "content": "现在一共有 **2 个不同的 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `survey_on_survey (3).pdf` \n\n你之前提到的 `542proposal.pdf` 在当前这轮对话中已经不在可用文件列表里了，所以现在只看到这两个。" + }, + { + "id": "node_1765415741441-user", + "role": "user", + "content": "再试试？不应该啊" + }, + { + "id": "node_1765415741441-assistant", + "role": "assistant", + "content": "现在这一轮里，我能看到并访问到的 PDF 文件有 **2 个**：\n\n1. `ICLR_New (2).pdf` \n2. `survey_on_survey (3).pdf` \n\n之前的 `542proposal.pdf` 当前这次工具返回的列表里已经没有了，所以现在只统计到这两个。" + }, + { + "id": "node_1765416202831-user", + "role": "user", + "content": "现在呢" + }, + { + "id": "node_1765416202831-assistant", + "role": "assistant", + "content": "现在我能看到的 PDF 文件一共有 **1 个**：\n\n1. `CV.pdf` " + } + ] + } + ], + "forkedTraces": [], + "mergedTraces": [], + "activeTraceIds": [], + "attachedFileIds": [ + "609ece1b-0894-4904-b363-d6e1c7a90be8" + ], + "response": "现在我能看到的 PDF 文件一共有 **1 个**：\n\n1. `CV.pdf` ", + "status": "success", + "inputs": 1, + "querySentAt": 1765416202831, + "responseReceivedAt": 1765416202831 + }, + "width": 200, + "height": 64, + "selected": false + }, + { + "id": "node_1765416232562", + "type": "llmNode", + "position": { + "x": 3150, + "y": 100 + }, + "data": { + "label": "CV PDF", + "model": "gpt-5.1", + "temperature": 1, + "systemPrompt": "", + "userPrompt": "现在呢", + "mergeStrategy": "smart", + "reasoningEffort": "medium", + "enableGoogleSearch": true, + "traces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + }, + { + "id": "node_1765413048314-user", + "role": "user", + "content": "what about now?" + }, + { + "id": "node_1765413048314-assistant", + "role": "assistant", + "content": "There are now **2 PDF files** available in this conversation:\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415177931-user", + "role": "user", + "content": "我来多做几轮测试。现在呢？" + }, + { + "id": "node_1765415177931-assistant", + "role": "assistant", + "content": "现在一共存在 **2 个 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415203978-user", + "role": "user", + "content": "那么现在呢" + }, + { + "id": "node_1765415203978-assistant", + "role": "assistant", + "content": "现在一共有 **3 个 PDF 文件**：\n\n1. `survey_on_survey (3).pdf` fileciteturn0file0turn0file7 \n2. `ICLR_New (2).pdf` fileciteturn0file1turn0file8 \n3. `542proposal.pdf` " + }, + { + "id": "node_1765415227098-user", + "role": "user", + "content": "”fileciteturn0file0turn0file7“这一串字符是什么？" + }, + { + "id": "node_1765415227098-assistant", + "role": "assistant", + "content": "那一串 \n`fileciteturn0file0turn0file7` \n\n是我用来**标注文件来源的内部引用标记（citation marker）**，含义大概是：\n\n- `filecite`：说明这是一个“文件引用”的开始 \n- `turn0file0`、`turn0file7`：指向本对话中由你上传的具体文件（第 0 轮的第 0 个文件、第 7 个文件之类的内部编号） \n- ``：引用标记的结束符 \n\n这些标记主要是给系统用来“知道这句话是根据哪些文件内容回答的”，对你来说可以把它当成**文献引用**一样的东西，并不属于 PDF 文件的正文内容。" + }, + { + "id": "node_1765415275416-user", + "role": "user", + "content": "openai平时是怎么渲染这个引用字符的？我在自己搭建前端" + }, + { + "id": "node_1765415275416-assistant", + "role": "assistant", + "content": "简单说： \n这些 `filecite...` 不应该直接展示给用户看，前端要**拦截并自己渲染成“引用小标签”**。\n\n虽然 OpenAI 没有公开一份“官方前端实现规范”，但在 ChatGPT 里，大致是这样处理的：\n\n1. **模型返回的原始文本里带有这串标记**： \n `…… survey_on_survey (3).pdf fileciteturn0file0turn0file7` \n\n2. **前端在展示前做一次解析**： \n - 用正则把所有 `filecite ... ` 找出来 \n - 拆成若干个 id：`turn0file0`, `turn0file7` \n - 根据这些 id 去你自己的文件元数据表里拿：文件名、类型、页码链接等 \n\n3. **把这段标记替换为你想要的 UI 元素**，比如：\n - 一个小上标的引用号：`[1]`、`[2]` \n - 或一个带文件名的 tag / pill：`[survey_on_survey (3).pdf]` \n - 鼠标 hover / 点击后弹出：**文件名 + “打开文件 / 跳转到页码”按钮**\n\n示例实现思路（伪代码）：\n\n```ts\nconst CITATION_RE = /filecite([^]+)/g;\n\nfunction renderWithCitations(text, fileMetaMap) {\n return text.replace(CITATION_RE, (match, inner) => {\n const ids = inner.split(\"\"); // [\"turn0file0\", \"turn0file7\"]\n // 这里你可以把 ids 映射成编号 [1] / [2]，或直接显示文件名\n const label = \"[\" + ids.map(id => fileMetaMap[id]?.displayIndex ?? \"?\").join(\",\") + \"]\";\n // 实际前端中可以渲染成组件，这里用纯文本代替\n return label;\n });\n}\n```\n\n所以在自己搭前端时，可以按这个思路做：\n\n- 把 `filecite...` 当成**纯结构化标记** \n- 前端负责把它转换成：**引用编号 / tag / 弹窗等 UI** \n- 用户最终不会看到这些奇怪字符，只看到你设计的引用样式即可。" + }, + { + "id": "node_1765415709294-user", + "role": "user", + "content": "现在呢" + }, + { + "id": "node_1765415709294-assistant", + "role": "assistant", + "content": "现在一共有 **2 个不同的 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `survey_on_survey (3).pdf` \n\n你之前提到的 `542proposal.pdf` 在当前这轮对话中已经不在可用文件列表里了，所以现在只看到这两个。" + }, + { + "id": "node_1765415741441-user", + "role": "user", + "content": "再试试？不应该啊" + }, + { + "id": "node_1765415741441-assistant", + "role": "assistant", + "content": "现在这一轮里，我能看到并访问到的 PDF 文件有 **2 个**：\n\n1. `ICLR_New (2).pdf` \n2. `survey_on_survey (3).pdf` \n\n之前的 `542proposal.pdf` 当前这次工具返回的列表里已经没有了，所以现在只统计到这两个。" + }, + { + "id": "node_1765416202831-user", + "role": "user", + "content": "现在呢" + }, + { + "id": "node_1765416202831-assistant", + "role": "assistant", + "content": "现在我能看到的 PDF 文件一共有 **1 个**：\n\n1. `CV.pdf` " + } + ] + } + ], + "outgoingTraces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + }, + { + "id": "node_1765413048314-user", + "role": "user", + "content": "what about now?" + }, + { + "id": "node_1765413048314-assistant", + "role": "assistant", + "content": "There are now **2 PDF files** available in this conversation:\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415177931-user", + "role": "user", + "content": "我来多做几轮测试。现在呢？" + }, + { + "id": "node_1765415177931-assistant", + "role": "assistant", + "content": "现在一共存在 **2 个 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415203978-user", + "role": "user", + "content": "那么现在呢" + }, + { + "id": "node_1765415203978-assistant", + "role": "assistant", + "content": "现在一共有 **3 个 PDF 文件**：\n\n1. `survey_on_survey (3).pdf` fileciteturn0file0turn0file7 \n2. `ICLR_New (2).pdf` fileciteturn0file1turn0file8 \n3. `542proposal.pdf` " + }, + { + "id": "node_1765415227098-user", + "role": "user", + "content": "”fileciteturn0file0turn0file7“这一串字符是什么？" + }, + { + "id": "node_1765415227098-assistant", + "role": "assistant", + "content": "那一串 \n`fileciteturn0file0turn0file7` \n\n是我用来**标注文件来源的内部引用标记（citation marker）**，含义大概是：\n\n- `filecite`：说明这是一个“文件引用”的开始 \n- `turn0file0`、`turn0file7`：指向本对话中由你上传的具体文件（第 0 轮的第 0 个文件、第 7 个文件之类的内部编号） \n- ``：引用标记的结束符 \n\n这些标记主要是给系统用来“知道这句话是根据哪些文件内容回答的”，对你来说可以把它当成**文献引用**一样的东西，并不属于 PDF 文件的正文内容。" + }, + { + "id": "node_1765415275416-user", + "role": "user", + "content": "openai平时是怎么渲染这个引用字符的？我在自己搭建前端" + }, + { + "id": "node_1765415275416-assistant", + "role": "assistant", + "content": "简单说： \n这些 `filecite...` 不应该直接展示给用户看，前端要**拦截并自己渲染成“引用小标签”**。\n\n虽然 OpenAI 没有公开一份“官方前端实现规范”，但在 ChatGPT 里，大致是这样处理的：\n\n1. **模型返回的原始文本里带有这串标记**： \n `…… survey_on_survey (3).pdf fileciteturn0file0turn0file7` \n\n2. **前端在展示前做一次解析**： \n - 用正则把所有 `filecite ... ` 找出来 \n - 拆成若干个 id：`turn0file0`, `turn0file7` \n - 根据这些 id 去你自己的文件元数据表里拿：文件名、类型、页码链接等 \n\n3. **把这段标记替换为你想要的 UI 元素**，比如：\n - 一个小上标的引用号：`[1]`、`[2]` \n - 或一个带文件名的 tag / pill：`[survey_on_survey (3).pdf]` \n - 鼠标 hover / 点击后弹出：**文件名 + “打开文件 / 跳转到页码”按钮**\n\n示例实现思路（伪代码）：\n\n```ts\nconst CITATION_RE = /filecite([^]+)/g;\n\nfunction renderWithCitations(text, fileMetaMap) {\n return text.replace(CITATION_RE, (match, inner) => {\n const ids = inner.split(\"\"); // [\"turn0file0\", \"turn0file7\"]\n // 这里你可以把 ids 映射成编号 [1] / [2]，或直接显示文件名\n const label = \"[\" + ids.map(id => fileMetaMap[id]?.displayIndex ?? \"?\").join(\",\") + \"]\";\n // 实际前端中可以渲染成组件，这里用纯文本代替\n return label;\n });\n}\n```\n\n所以在自己搭前端时，可以按这个思路做：\n\n- 把 `filecite...` 当成**纯结构化标记** \n- 前端负责把它转换成：**引用编号 / tag / 弹窗等 UI** \n- 用户最终不会看到这些奇怪字符，只看到你设计的引用样式即可。" + }, + { + "id": "node_1765415709294-user", + "role": "user", + "content": "现在呢" + }, + { + "id": "node_1765415709294-assistant", + "role": "assistant", + "content": "现在一共有 **2 个不同的 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `survey_on_survey (3).pdf` \n\n你之前提到的 `542proposal.pdf` 在当前这轮对话中已经不在可用文件列表里了，所以现在只看到这两个。" + }, + { + "id": "node_1765415741441-user", + "role": "user", + "content": "再试试？不应该啊" + }, + { + "id": "node_1765415741441-assistant", + "role": "assistant", + "content": "现在这一轮里，我能看到并访问到的 PDF 文件有 **2 个**：\n\n1. `ICLR_New (2).pdf` \n2. `survey_on_survey (3).pdf` \n\n之前的 `542proposal.pdf` 当前这次工具返回的列表里已经没有了，所以现在只统计到这两个。" + }, + { + "id": "node_1765416202831-user", + "role": "user", + "content": "现在呢" + }, + { + "id": "node_1765416202831-assistant", + "role": "assistant", + "content": "现在我能看到的 PDF 文件一共有 **1 个**：\n\n1. `CV.pdf` " + }, + { + "id": "node_1765416232562-user", + "role": "user", + "content": "现在呢" + }, + { + "id": "node_1765416232562-assistant", + "role": "assistant", + "content": "现在我能看到的 PDF 文件一共有 **1 个**：\n\n1. `CV.pdf` " + } + ] + } + ], + "forkedTraces": [], + "mergedTraces": [], + "activeTraceIds": [ + "fork-node_1765320756261-1765413083937" + ], + "attachedFileIds": [], + "response": "现在我能看到的 PDF 文件一共有 **1 个**：\n\n1. `CV.pdf` ", + "status": "success", + "inputs": 1, + "querySentAt": 1765416232562, + "responseReceivedAt": 1765416232562 + }, + "width": 200, + "height": 64, + "selected": false, + "dragging": false + }, + { + "id": "node_1765416288572", + "type": "llmNode", + "position": { + "x": 3450, + "y": 100 + }, + "data": { + "label": "PDF 文件 去重", + "model": "gpt-5.1", + "temperature": 1, + "systemPrompt": "", + "userPrompt": "现在呢？", + "mergeStrategy": "smart", + "reasoningEffort": "medium", + "enableGoogleSearch": true, + "traces": [ + { + "id": "fork-node_1765320756261-1765413083937", + "sourceNodeId": "node_1765320756261", + "color": "hsl(163, 70%, 60%)", + "messages": [ + { + "id": "node_1765320756261-user", + "role": "user", + "content": "testing search_files. Please search for pdf files in this conversation and count the number." + }, + { + "id": "node_1765320756261-assistant", + "role": "assistant", + "content": "I found **1 PDF file** in this conversation: `542proposal.pdf`. " + }, + { + "id": "node_1765413048314-user", + "role": "user", + "content": "what about now?" + }, + { + "id": "node_1765413048314-assistant", + "role": "assistant", + "content": "There are now **2 PDF files** available in this conversation:\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415177931-user", + "role": "user", + "content": "我来多做几轮测试。现在呢？" + }, + { + "id": "node_1765415177931-assistant", + "role": "assistant", + "content": "现在一共存在 **2 个 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `542proposal.pdf` " + }, + { + "id": "node_1765415203978-user", + "role": "user", + "content": "那么现在呢" + }, + { + "id": "node_1765415203978-assistant", + "role": "assistant", + "content": "现在一共有 **3 个 PDF 文件**：\n\n1. `survey_on_survey (3).pdf` fileciteturn0file0turn0file7 \n2. `ICLR_New (2).pdf` fileciteturn0file1turn0file8 \n3. `542proposal.pdf` " + }, + { + "id": "node_1765415227098-user", + "role": "user", + "content": "”fileciteturn0file0turn0file7“这一串字符是什么？" + }, + { + "id": "node_1765415227098-assistant", + "role": "assistant", + "content": "那一串 \n`fileciteturn0file0turn0file7` \n\n是我用来**标注文件来源的内部引用标记（citation marker）**，含义大概是：\n\n- `filecite`：说明这是一个“文件引用”的开始 \n- `turn0file0`、`turn0file7`：指向本对话中由你上传的具体文件（第 0 轮的第 0 个文件、第 7 个文件之类的内部编号） \n- ``：引用标记的结束符 \n\n这些标记主要是给系统用来“知道这句话是根据哪些文件内容回答的”，对你来说可以把它当成**文献引用**一样的东西，并不属于 PDF 文件的正文内容。" + }, + { + "id": "node_1765415275416-user", + "role": "user", + "content": "openai平时是怎么渲染这个引用字符的？我在自己搭建前端" + }, + { + "id": "node_1765415275416-assistant", + "role": "assistant", + "content": "简单说： \n这些 `filecite...` 不应该直接展示给用户看，前端要**拦截并自己渲染成“引用小标签”**。\n\n虽然 OpenAI 没有公开一份“官方前端实现规范”，但在 ChatGPT 里，大致是这样处理的：\n\n1. **模型返回的原始文本里带有这串标记**： \n `…… survey_on_survey (3).pdf fileciteturn0file0turn0file7` \n\n2. **前端在展示前做一次解析**： \n - 用正则把所有 `filecite ... ` 找出来 \n - 拆成若干个 id：`turn0file0`, `turn0file7` \n - 根据这些 id 去你自己的文件元数据表里拿：文件名、类型、页码链接等 \n\n3. **把这段标记替换为你想要的 UI 元素**，比如：\n - 一个小上标的引用号：`[1]`、`[2]` \n - 或一个带文件名的 tag / pill：`[survey_on_survey (3).pdf]` \n - 鼠标 hover / 点击后弹出：**文件名 + “打开文件 / 跳转到页码”按钮**\n\n示例实现思路（伪代码）：\n\n```ts\nconst CITATION_RE = /filecite([^]+)/g;\n\nfunction renderWithCitations(text, fileMetaMap) {\n return text.replace(CITATION_RE, (match, inner) => {\n const ids = inner.split(\"\"); // [\"turn0file0\", \"turn0file7\"]\n // 这里你可以把 ids 映射成编号 [1] / [2]，或直接显示文件名\n const label = \"[\" + ids.map(id => fileMetaMap[id]?.displayIndex ?? \"?\").join(\",\") + \"]\";\n // 实际前端中可以渲染成组件，这里用纯文本代替\n return label;\n });\n}\n```\n\n所以在自己搭前端时，可以按这个思路做：\n\n- 把 `filecite...` 当成**纯结构化标记** \n- 前端负责把它转换成：**引用编号 / tag / 弹窗等 UI** \n- 用户最终不会看到这些奇怪字符，只看到你设计的引用样式即可。" + }, + { + "id": "node_1765415709294-user", + "role": "user", + "content": "现在呢" + }, + { + "id": "node_1765415709294-assistant", + "role": "assistant", + "content": "现在一共有 **2 个不同的 PDF 文件**：\n\n1. `ICLR_New (2).pdf` \n2. `survey_on_survey (3).pdf` \n\n你之前提到的 `542proposal.pdf` 在当前这轮对话中已经不在可用文件列表里了，所以现在只看到这两个。" + }, + { + "id": "node_1765415741441-user", + "role": "user", + "content": "再试试？不应该啊" + }, + { + "id": "node_1765415741441-assistant", + "role": "assistant", + "content": "现在这一轮里，我能看到并访问到的 PDF 文件有 **2 个**：\n\n1. `ICLR_New (2).pdf` \n2. `survey_on_survey (3).pdf` \n\n之前的 `542proposal.pdf` 当前这次工具返回的列表里已经没有了，所以现在只统计到这两个。" + }, + { + "id": "node_1765416202831-user", + "role": "user", + "content": "现在呢" + }, + { + "id": "node_1765416202831-assistant", + "role": "assistant", + "content": "现在我能看到的 PDF 文件一共有 **1 个**：\n\n1. `CV.pdf` " + }, + { + "id": "node_1765416232562-user", + "role": "user", + "content": "现在呢" + }, + { + "id": "node_1765416232562-assistant", + "role": "assistant", + "content": "现在我能看到的 PDF 文件一共有 **1 个**：\n\n1. `CV.pdf` " + } + ] + } + ], + "outgoingTraces": [], + "forkedTraces": [], + "mergedTraces": [], + "activeTraceIds": [ + "fork-node_1765320756261-1765413083937" + ], + "attachedFileIds": [ + "1d344051-3b8e-41bc-8c57-15710383bd42" + ], + "response": "现在我能看到的 PDF 文件一共有 **2 个不同的 PDF 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