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docs: 测试结果文件移出版本控制(保留磁盘参考)

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- docs/*.txt 加入 gitignore, 测试结果不入库
- 移除已跟踪的 3 个测试文件(保留在工作区)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Sakurasan
2026-08-16 05:09:05 +08:00
co-authored by Claude
parent 47f6a8daaa
commit 7f28c8b83b
4 changed files with 3 additions and 519 deletions
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.gitignore
+3
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@@ -34,3 +34,6 @@ nohup.out
.idea/
.vscode/
*.swp
# 测试结果记录(参考用, 不入库)
docs/*.txt
docs/conversion-test.txt
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===== 协议转换测试(渠道仅支持 chat, mock 上游) =====
时间: 2026-08-16 04:53:42
渠道 conv2 formats=[chat], 客户端用 responses/messages 时网关转成 chat
----- 0. Chat 直通(基准) -----
{"choices":[{"finish_reason":"stop","index":0,"message":{"content":"你好，这是 mock 上游的回复。","role":"assistant"}}],"id":"chatcmpl-mock123","model":"conv-test2","object":"chat.completion","usage":{"completion_tokens":9,"prompt_tokens":12,"total_tokens":21}}
----- 1. Responses 非流式 -----
{"id":"resp_mock123","model":"conv-test2","object":"response","output":[{"content":[{"text":"你好，这是 mock 上游的回复。","type":"output_text"}],"role":"assistant","type":"message"}],"status":"completed","usage":{"input_tokens":12,"output_tokens":9,"total_tokens":21}}
----- 2. Responses 流式(应带 usage) -----
event: response.output_text.delta
data: {"content_index":0,"delta":"你好","item_id":"msg_1","output_index":0,"type":"response.output_text.delta"}
event: response.output_text.delta
data: {"content_index":0,"delta":"，这是","item_id":"msg_1","output_index":0,"type":"response.output_text.delta"}
event: response.output_text.delta
data: {"content_index":0,"delta":" mock ","item_id":"msg_1","output_index":0,"type":"response.output_text.delta"}
event: response.completed
data: {"response":{"id":"resp_stream","model":"conv-test2","object":"response","status":"completed","usage":{"completion_tokens":9,"prompt_tokens":12,"total_tokens":21}},"type":"response.completed"}
----- 3. Messages 非流式 -----
{"content":[{"text":"你好，这是 mock 上游的回复。","type":"text"}],"id":"msg_mock123","model":"conv-test2","role":"assistant","stop_reason":"end_turn","type":"message","usage":{"input_tokens":12,"output_tokens":9}}
----- 4. Messages 流式 -----
event: message_start
data: {"message":{"content":[],"id":"msg_mock123","model":"conv-test2","role":"assistant","type":"message","usage":{"input_tokens":0,"output_tokens":0}},"type":"message_start"}
event: content_block_start
data: {"content_block":{"text":"","type":"text"},"index":0,"type":"content_block_start"}
event: content_block_delta
data: {"delta":{"text":"你好","type":"text_delta"},"index":0,"type":"content_block_delta"}
event: content_block_delta
data: {"delta":{"text":"，这是","type":"text_delta"},"index":0,"type":"content_block_delta"}
event: content_block_delta
data: {"delta":{"text":" mock ","type":"text_delta"},"index":0,"type":"content_block_delta"}
event: message_delta
data: {"delta":{"stop_reason":"end_turn","stop_sequence":null},"type":"message_delta","usage":{"completion_tokens":9,"prompt_tokens":12,"total_tokens":21}}
event: content_block_stop
data: {"index":0,"type":"content_block_stop"}
event: message_stop
data: {"type":"message_stop"}
docs/glm-conversion-real-test.txt
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@@ -1,41 +0,0 @@
===== 单一格式渠道 × 协议转换(真实智谱, glm-4.7-flash) =====
时间: 2026-08-16 04:57:32
渠道: conv-chat-real(chat) / conv-resp-real(responses) / conv-msg-real(messages), 均用 zai 真实 key
模型: t-chat/t-resp/t-msg → 上游 glm-4.7-flash
----- A1. [chat渠道] 客户端 Chat(直通) -----
{"choices":[{"finish_reason":"stop","index":0,"message":{"content":"我是由Z.ai开发的GLM大语言模型，旨在通过对话为您提供信息和帮助。","reasoning_content":"1. **分析用户请求：** 用户要求用一句话介绍我自己（“用一句话介绍你自己”）。这是一个简单、直接且标准的请求。\n\n2. **识别我的身份：** 我是一个大型语言模型，具体来说是GLM（通用语言模型），由Z.ai开发。我的主要功能是处理和生成文本。\n\n3. **确定目标：** 我需要用一句话来简洁地总结我的身份和目的。这句话应该准确、礼貌，并涵盖基本要点。\n\n4. **起草初步想法：**\n * 我是一个AI语言模型。（太简单，没有说明我的目的）\n * 我是Z.ai开发的GLM大语言模型，旨在通过对话为您提供信息和帮助。（更好，涵盖了身份、开发者和目的）\n * 我是一个由Z.ai训练的人工智能助手，可以回答问题、提供信息和协助完成各种语言任务。（非常清晰，涵盖了所有基础）\n\n5. **选择最佳方案：** “我是由Z.ai开发的GLM大语言模型，旨在通过对话为您提供信息和帮助。”是一个平衡且全面的句子。它指明了开发者和模型名称，并解释了我的核心功能。\n\n6. **最终润色：** 确保语气乐于助人且专业。所选句子已经很好地做到了这一点。我将清晰地呈现这句话。","role":"assistant"}}],"created":1786827455,"id":"2026081604573235f152b0325d4a75","model":"glm-4.7-flash","object":"chat.completion","request_id":"2026081604573235f152b0325d4a75","usage":{"completion_tokens":282,"completion_tokens_details":{"reasoning_tokens":261},"prompt_tokens":9,"prompt_tokens_details":{"cached_tokens":2},"total_tokens":291}}
----- A2. [chat渠道] 客户端 Responses(转chat→转回responses) -----
{"id":"resp_2026081604574049b5db7e432249d0","model":"glm-4.7-flash","object":"response","output":[{"content":[{"text":"我是一个由Z.ai训练的大型语言模型，旨在通过对话为您提供信息、创意和解决方案。","type":"output_text"}],"role":"assistant","type":"message"}],"status":"completed","usage":{"input_tokens":9,"output_tokens":354,"total_tokens":363}}
----- A3. [chat渠道] 客户端 Messages(转chat→转回messages) -----
{"content":[],"id":"msg_202608160457506f471ee9d4c84f19","model":"glm-4.7-flash","role":"assistant","stop_reason":"max_tokens","type":"message","usage":{"input_tokens":9,"output_tokens":200}}
----- B1. [responses渠道] 客户端 Chat(转responses→转回chat) -----
{"choices":[{"finish_reason":"stop","index":0,"message":{"content":"我是Z.ai训练的大语言模型，旨在为您提供信息和帮助。","role":"assistant"}}],"id":"chatcmpl-202608160457586887b40467604e80","model":"glm-4.7-flash","object":"chat.completion","usage":{"completion_tokens":593,"prompt_tokens":9,"total_tokens":602}}
----- B2. [responses渠道] 客户端 Responses(直通) -----
{"conversation_id":"","created_at":1786827495,"error":null,"id":"resp_20260816045808422180b294b24480","incomplete_details":null,"instructions":"","metadata":null,"model":"glm-4.7-flash","object":"response","output":[{"content":[{"text":"1. **分析请求：**\n * **用户：** 想要一句话介绍我自己（“用一句话介绍你自己”）。\n * **人设：** 我是一个由Z.ai训练的大型语言模型（GLM）。\n * **目标：** 提供一个简洁、准确且礼貌的介绍。\n\n2. **确定关键信息：**\n * 我是谁？一个AI。\n * 我由谁创建？Z.ai。\n * 我能做什么？回答问题、写东西、翻译等。\n\n3. **起草初步想法（内心独白/尝试）：**\n * *草稿1：* 我是Z.ai的一个AI助手。（简单，准确。）\n * *草稿2：* 我是GLM，一个由Z.ai训练的大语言模型。（更具体，但可能太技术化。）\n * *草稿3：* 我是一个AI助手，可以帮你回答问题、写文章、翻译语言等。（描述性强，但“一句话”的限制意味着它不应太长。）\n * *草稿4：* 你好，我是Z.ai开发的GLM大语言模型，可以为你提供信息和帮助。（礼貌，全面。）\n\n4. **选择并优化最佳选项：**\n * “草稿1”非常简洁。\n * “草稿4”更友好，并解释了我的目的。\n * 我应该结合准确性和友好性。\n\n * *优化后的选择：* “我是由Z.ai开发的大语言模型，可以为你提供信息和帮助。”（我是由Z.ai开发的大语言模型，可以为你提供信息和帮助。）\n\n5. **最终润色（中文）：**\n * “我是由Z.ai开发的大语言模型，可以为你提供信息和帮助。” -\u003e 这很好。\n * “我是GLM，一个由Z.ai训练的AI助手。” -\u003e 这也很好。\n * 让我们选择一个平衡的版本，既强调我的起源，也强调我的功能。\n\n * *最终选择：* “我是由Z.ai开发的大语言模型，可以为你提供信息和帮助。”（我是由Z.ai开发的大语言模型，可以为你提供信息和帮助。）\n\n6. **输出生成：** 清晰地呈现选定的句子。","type":"reasoning_text"}],"encrypted_content":null,"id":"rs_20260816045808422180b294b24480","status":"completed","summary":[],"type":"reasoning"},{"content":[{"annotations":[],"text":"我是由Z.ai开发的大语言模型，可以为你提供信息和帮助。","type":"output_text"}],"id":"msg_20260816045808422180b294b24480","role":"assistant","status":"completed","type":"message"}],"parallel_tool_calls":true,"previous_response_id":"","status":"completed","usage":{"input_tokens":9,"input_tokens_details":{"cached_tokens":2},"output_tokens":499,"output_tokens_details":{"reasoning_tokens":481},"total_tokens":508}}
----- B3. [responses渠道] 客户端 Messages(转responses→转回messages) -----
{"content":[],"id":"msg_20260816045820479c740f31414c9e","model":"glm-4.7-flash","role":"assistant","stop_reason":"max_tokens","type":"message","usage":{"input_tokens":9,"output_tokens":200}}
----- C1. [messages渠道] 客户端 Chat(转messages→转回chat) -----
{"choices":[{"finish_reason":"stop","index":0,"message":{"content":"你好！我是一个由Z.ai训练的大语言模型，通过广泛的文本数据学习，致力于为你提供准确、有帮助的回答和支持。我的目标是协助你解决问题、获取信息或完成各类任务。有什么我可以帮你的吗？","role":"assistant"}}],"created":0,"id":"chatcmpl-202608160458288c8dcf1eb1bb47de","model":"glm-4.7-flash","object":"chat.completion","usage":{"completion_tokens":46,"prompt_tokens":7,"total_tokens":53}}
----- C2. [messages渠道] 客户端 Responses(转messages→转回responses) -----
{"id":"resp_202608160459213abc136a794344b6","model":"glm-4.7-flash","object":"response","output":[{"content":[{"text":"我是GLM大语言模型，由Z.ai训练开发，可以回答问题、提供信息并协助创作。我可以协助您处理文本生成、知识问答、内容润色等多种任务，同时遵守相关准则和规定。请问有什么我可以帮助您的吗？","type":"output_text"}],"role":"assistant","type":"message"}],"status":"completed","usage":{"input_tokens":7,"output_tokens":54,"total_tokens":61}}
----- C3. [messages渠道] 客户端 Messages(直通) -----
{"id":"msg_20260816045927d428bc3fb8474c3b","type":"message","role":"assistant","model":"glm-4.7-flash","content":[{"type":"text","text":"你好，我是一个由Z.ai训练的大语言模型，可以协助你回答问题、提供信息和完成相关任务。有什么我能帮到你的吗？"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":7,"output_tokens":31,"cache_read_input_tokens":2,"server_tool_use":{"web_search_requests":0},"service_tier":"standard"}}
docs/glm-tool-call-test.txt
-417
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@@ -1,417 +0,0 @@
===== glm-4.7-flash 工具调用测试(三协议 × 流式/非流式) =====
时间: 2026-08-16 04:39:41
工具: get_weather(city)
----- 1. OpenAI Chat 非流式(工具调用) -----
{"choices":[{"finish_reason":"tool_calls","index":0,"message":{"content":"我来帮您查询北京今天的天气情况。","reasoning_content":"用户想查询北京今天的天气，并且明确要求调用天气工具。我需要使用get_weather函数，参数是城市名\"北京\"。","role":"assistant","tool_calls":[{"function":{"arguments":"{\"city\":\"北京\"}","name":"get_weather"},"id":"call_-7349346139092548501","index":0,"type":"function"}]}}],"created":1786826382,"id":"202608160439416b68908d16dd4fd9","model":"glm-4.7-flash","object":"chat.completion","request_id":"202608160439416b68908d16dd4fd9","usage":{"completion_tokens":49,"completion_tokens_details":{"reasoning_tokens":28},"prompt_tokens":168,"prompt_tokens_details":{"cached_tokens":166},"total_tokens":217}}
----- 2. OpenAI Chat 流式(工具调用) -----
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"用户"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"询问"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"北京"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"今天的"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"天气"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"，"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"并"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"要求"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"我"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"调用"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"天气"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"工具"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"查询"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"。"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"我"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"需要"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"使用"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"get"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"_weather"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"函数"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"，"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"参数"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"是"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"city"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"=\""}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"北京"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"\"。"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","content":"我来"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","content":"帮"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","content":"您"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","content":"查询"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","content":"北京"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","content":"今天的"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","content":"天气"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","content":"情况"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"role":"assistant","content":"。"}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"delta":{"tool_calls":[{"id":"call_dbcef6a399ad47bb973fa83a","index":0,"type":"function","function":{"name":"get_weather","arguments":"{\"city\":\"北京\"}"}}]}}]}
data: {"id":"20260816043946c629f68cf73b486c","created":1786826386,"object":"chat.completion.chunk","model":"glm-4.7-flash","choices":[{"index":0,"finish_reason":"tool_calls","delta":{"role":"assistant","content":""}}],"usage":{"prompt_tokens":167,"completion_tokens":48,"total_tokens":215,"prompt_tokens_details":{"cached_tokens":165},"completion_tokens_details":{"reasoning_tokens":27}}}
data: [DONE]
----- 3. OpenAI Responses 非流式(工具调用) -----
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----- 4. OpenAI Responses 流式(工具调用) -----
event: response.created
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event: response.output_item.added
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event: response.content_part.added
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.delta
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event: response.reasoning_text.done
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event: response.content_part.done
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event: response.output_item.done
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event: response.content_part.added
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event: response.output_text.delta
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event: response.output_text.delta
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event: response.output_text.delta
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event: response.output_text.delta
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event: response.output_text.delta
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event: response.output_text.delta
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event: response.output_text.delta
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event: response.output_text.delta
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event: response.output_text.done
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event: response.content_part.done
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event: response.output_item.done
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event: response.function_call_arguments.delta
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event: response.function_call_arguments.delta
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event: response.function_call_arguments.delta
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event: response.function_call_arguments.delta
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----- 5. Anthropic Messages 非流式(工具调用) -----
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----- 6. Anthropic Messages 流式(工具调用) -----
event: message_start
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event: ping
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event: content_block_start
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event: content_block_delta
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event: content_block_delta
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event: content_block_delta
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event: content_block_delta
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event: content_block_delta
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event: content_block_delta
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event: content_block_delta
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event: content_block_delta
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event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": "。"}}
event: content_block_stop
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event: content_block_start
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event: content_block_delta
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event: content_block_delta
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event: content_block_delta
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event: content_block_delta
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event: content_block_delta
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event: content_block_delta
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event: content_block_stop
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event: message_delta
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event: message_stop
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