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Unified parsing spec for streaming LLM vs code-node logs #20515

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opened 2026-02-21 20:07:47 -05:00 by yindo · 2 comments
yindo commented 2026-02-21 20:07:47 -05:00
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Originally created by @Modas-Li on GitHub (Nov 24, 2025).

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1. Is this request related to a challenge you're experiencing? Tell me about your story.

Please publish a minimal, language-neutral parsing spec (SSE framing + NDJSON schema) so third-party backends can consume logs without reverse-engineering. Goal: one reader that correctly re-assembles both text_chunk streams and single-shot code outputs.

`dify输出日志内容：
data: {"event": "node_started", "workflow_run_id": "99655b92-6c68-47b2-b2a1-0a81c08c3eec", "task_id": "66e37e51-8ad4-4ec8-85e5-57cd0ec86916", "data": {"id": "19827481-df5a-4875-9fd6-56874a930174", "node_id": "1763540162158", "node_type": "llm", "title": "LLM 今日关注点", "index": 11, "predecessor_node_id": "1763540149847", "inputs": null, "created_at": 1763968447, "extras": {}, "parallel_id": null, "parallel_start_node_id": null, "parent_parallel_id": null, "parent_parallel_start_node_id": null, "iteration_id": null, "loop_id": null, "parallel_run_id": null, "agent_strategy": null}}

data: {"event": "text_chunk", "workflow_run_id": "99655b92-6c68-47b2-b2a1-0a81c08c3eec", "task_id": "66e37e51-8ad4-4ec8-85e5-57cd0ec86916", "data": {"text": "\n{"", "from_variable_selector": ["1763540162158", "text"]}}

data: {"event": "text_chunk", "workflow_run_id": "99655b92-6c68-47b2-b2a1-0a81c08c3eec", "task_id": "66e37e51-8ad4-4ec8-85e5-57cd0ec86916", "data": {"text": "01", "from_variable_selector": ["1763540162158", "text"]}}

data: {"event": "text_chunk", "workflow_run_id": "99655b92-6c68-47b2-b2a1-0a81c08c3eec", "task_id": "66e37e51-8ad4-4ec8-85e5-57cd0ec86916", "data": {"text": " ", "from_variable_selector": ["1763540162158", "text"]}}

data: {"event": "text_chunk", "workflow_run_id": "99655b92-6c68-47b2-b2a1-0a81c08c3eec", "task_id": "66e37e51-8ad4-4ec8-85e5-57cd0ec86916", "data": {"text": "美", "from_variable_selector": ["1763540162158", "text"]}}

data: {"event": "text_chunk", "workflow_run_id": "99655b92-6c68-47b2-b2a1-0a81c08c3eec", "task_id": "66e37e51-8ad4-4ec8-85e5-57cd0ec86916", "data": {"text": "方", "from_variable_selector": ["1763540162158", "text"]}}

data: {"event": "text_chunk", "workflow_run_id": "99655b92-6c68-47b2-b2a1-0a81c08c3eec", "task_id": "66e37e51-8ad4-4ec8-85e5-57cd0ec86916", "data": {"text": "称", "from_variable_selector": ["1763540162158", "text"]}}

data: {"event": "text_chunk", "workflow_run_id": "99655b92-6c68-47b2-b2a1-0a81c08c3eec", "task_id": "66e37e51-8ad4-4ec8-85e5-57cd0ec86916", "data": {"text": "将", "from_variable_selector": ["1763540162158", "text"]}}

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data: {"event": "node_finished", "workflow_run_id": "99655b92-6c68-47b2-b2a1-0a81c08c3eec", "task_id": "66e37e51-8ad4-4ec8-85e5-57cd0ec86916", "data": {"id": "8706d62e-9e78-40e2-b806-41090c3e0c79", "node_id": "1763968035216", "node_type": "code", "title": "代码执行 2", "index": 13, "predecessor_node_id": "1763960888065", "inputs": {}, "process_data": null, "outputs": {"result": "我是测试"}, "status": "succeeded", "error": null, "elapsed_time": 0.25978, "execution_metadata": {}, "created_at": 1763968461, "finished_at": 1763968461, "files": [], "parallel_id": null, "parallel_start_node_id": null, "parent_parallel_id": null, "parent_parallel_start_node_id": null, "iteration_id": null, "loop_id": null}}`

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  • I am interested in contributing to this feature.
Originally created by @Modas-Li on GitHub (Nov 24, 2025). ### Self Checks - [x] I have read the [Contributing Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) and [Language Policy](https://github.com/langgenius/dify/issues/1542). - [x] I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones. - [x] I confirm that I am using English to submit this report, otherwise it will be closed. - [x] Please do not modify this template :) and fill in all the required fields. ### 1. Is this request related to a challenge you're experiencing? Tell me about your story. Please publish a minimal, language-neutral parsing spec (SSE framing + NDJSON schema) so third-party backends can consume logs without reverse-engineering. Goal: one reader that correctly re-assembles both text_chunk streams and single-shot code outputs. `dify输出日志内容： data: {"event": "node_started", "workflow_run_id": "99655b92-6c68-47b2-b2a1-0a81c08c3eec", "task_id": "66e37e51-8ad4-4ec8-85e5-57cd0ec86916", "data": {"id": "19827481-df5a-4875-9fd6-56874a930174", "node_id": "1763540162158", "node_type": "llm", "title": "LLM 今日关注点", "index": 11, "predecessor_node_id": "1763540149847", "inputs": null, "created_at": 1763968447, "extras": {}, "parallel_id": null, "parallel_start_node_id": null, "parent_parallel_id": null, "parent_parallel_start_node_id": null, "iteration_id": null, "loop_id": null, "parallel_run_id": null, "agent_strategy": null}} data: {"event": "text_chunk", "workflow_run_id": "99655b92-6c68-47b2-b2a1-0a81c08c3eec", "task_id": "66e37e51-8ad4-4ec8-85e5-57cd0ec86916", "data": {"text": "\n{\"", "from_variable_selector": ["1763540162158", "text"]}} data: {"event": "text_chunk", "workflow_run_id": 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"text": "请将下述原文输出出来，不要生成其他内容，日期格式为yyyy-mm-dd：\n{\"01 美方称将稀土、芬太尼和大豆列为中美经贸磋商的三大问题外交部回应02 白宫经济顾问：政府停摆可能在本周结束03 美方称将稀土、芬太尼和大豆列为中美经贸磋商的三大问题外交部回应04 \\\"加量不加价\\\"iPhone17标准版被中国\\\"果粉\\\"买爆：销量比iPhone 16多出近1倍苹果股价创历史新高05 中国风电发展提出新目标未来六年累计装机再增长150 航空股集体\\\"起飞\\\"！多重利好重磅来袭！07 均胜电子：子公司新获汽车智能电动化项目定点预计全生命周期订单总金额约50亿08 中国移动：前三季度股东应占利润1154亿\"}</xc-chart-paragraph-divider-1>", "files": []}], "usage": {"prompt_tokens": 196, "prompt_unit_price": "0", "prompt_price_unit": "0", "prompt_price": "0", "completion_tokens": 163, "completion_unit_price": "0", "completion_price_unit": "0", "completion_price": "0", "total_tokens": 359, "total_price": "0", "currency": "USD", "latency": 8.7961276602}, "finish_reason": "stop", "model_provider": "langgenius/volcengine_maas/volcengine_maas", "model_name": "DeepSeek -V3-250328"}, "outputs": {"text": "{\"01 美方称将稀土、芬太尼和大豆列为中美经贸磋商的三大问题外交部回应02 白宫经济顾问：政府停摆可能在本周结束03 美方称将稀土、芬太尼和大豆列为中美经贸磋商的三大问题外交部回应04 \\\"加量不加价\\\"iPhone17标准版被中国\\\"果粉\\\"买爆：销量比iPhone 16多出近1倍苹果股价创历史新高05 中国风电发展提出新目标未来六年累计装机再增长150 航空股集体\\\"起飞\\\"！多重利好重磅来袭！07 均胜电子：子公司新获汽车智能电动化项目定点预计全生命周期订单总金额约50亿08 中国移动：前三季度股东应占利润1154亿\"}", "usage": {"prompt_tokens": 196, "prompt_unit_price": "0", "prompt_price_unit": "0", "prompt_price": "0", "completion_tokens": 163, "completion_unit_price": "0", "completion_price_unit": "0", "completion_price": "0", "total_tokens": 359, "total_price": "0", "currency": "USD", "latency": 8.7961276602}, "finish_reason": "stop", "files": []}, "status": "succeeded", "error": null, "elapsed_time": 8.905695, "execution_metadata": {"total_tokens": 359, "total_price": "0", "currency": "USD"}, "created_at": 1763968447, "finished_at": 1763968456, "files": [], "parallel_id": null, "parallel_start_node_id": null, "parent_parallel_id": null, "parent_parallel_start_node_id": null, "iteration_id": null, "loop_id": null}} data: {"event": "node_started", "workflow_run_id": "99655b92-6c68-47b2-b2a1-0a81c08c3eec", "task_id": "66e37e51-8ad4-4ec8-85e5-57cd0ec86916", "data": {"id": 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"请将下述原文输出出来，不要生成其他内容，市场风险:政策风险:地缘风险:汇率波动:个股风险:这些文字加黑:\n<xc-chart-h-1>风险提示</xc-chart-h-1>\n市场风险:缩量环境下反弹持续性存疑,警惕无\n量阴跌风险;涨停股分化可能加剧波动。\n政策风险:中美贸易摩擦升级(如100%关税威\n胁);国内行业政策超预期收紧。\n地缘风险:中东冲突持续扰动能源供应及航运\n成本。\n汇率波动:强美元周期下跨境资本流动压力。\n个股风险:热点题材澄清风险(如核聚变/新凯\n来概念);大额减持压力(如中国联通拟减\n1.2%)。</xc-chart-paragraph-divider-1>", "files": []}], "usage": {"prompt_tokens": 175, "prompt_unit_price": "0", "prompt_price_unit": "0", "prompt_price": "0", "completion_tokens": 113, "completion_unit_price": "0", "completion_price_unit": "0", "completion_price": "0", "total_tokens": 288, "total_price": "0", "currency": "USD", "latency": 5.084845621138811}, "finish_reason": "stop", "model_provider": "langgenius/volcengine_maas/volcengine_maas", "model_name": "DeepSeek -V3-250328"}, "outputs": {"text": "**市场风险**:缩量环境下反弹持续性存疑,警惕无量阴跌风险;涨停股分化可能加剧波动。 \n**政策风险**:中美贸易摩擦升级(如100%关税威胁);国内行业政策超预期收紧。 \n**地缘风险**:中东冲突持续扰动能源供应及航运成本。 \n**汇率波动**:强美元周期下跨境资本流动压力。 \n**个股风险**:热点题材澄清风险(如核聚变/新凯来概念);大额减持压力(如中国联通拟减1.2%)。", "usage": 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"predecessor_node_id": "1763960888065", "inputs": null, "created_at": 1763968461, "extras": {}, "parallel_id": null, "parallel_start_node_id": null, "parent_parallel_id": null, "parent_parallel_start_node_id": null, "iteration_id": null, "loop_id": null, "parallel_run_id": null, "agent_strategy": null}} data: {"event": "node_finished", "workflow_run_id": "99655b92-6c68-47b2-b2a1-0a81c08c3eec", "task_id": "66e37e51-8ad4-4ec8-85e5-57cd0ec86916", "data": {"id": "8706d62e-9e78-40e2-b806-41090c3e0c79", "node_id": "1763968035216", "node_type": "code", "title": "代码执行 2", "index": 13, "predecessor_node_id": "1763960888065", "inputs": {}, "process_data": null, "outputs": {"result": "<test>我是测试</test>"}, "status": "succeeded", "error": null, "elapsed_time": 0.25978, "execution_metadata": {}, "created_at": 1763968461, "finished_at": 1763968461, "files": [], "parallel_id": null, "parallel_start_node_id": null, "parent_parallel_id": null, "parent_parallel_start_node_id": null, "iteration_id": null, "loop_id": null}}` ### 2. Additional context or comments _No response_ ### 3. Can you help us with this feature? - [ ] I am interested in contributing to this feature.
yindo added the 🌊 feat:workflow label 2026-02-21 20:07:47 -05:00
yindo closed this issue 2026-02-21 20:07:47 -05:00
yindo commented 2026-02-21 20:07:48 -05:00
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@crazywoola commented on GitHub (Nov 24, 2025):

Regarding this part, you could read the source code in our frontend application instead.

@crazywoola commented on GitHub (Nov 24, 2025): Regarding this part, you could read the source code in our frontend application instead.
yindo commented 2026-02-21 20:07:48 -05:00
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@Modas-Li commented on GitHub (Nov 24, 2025):

Thank you for your email !您好，你的邮件我已收到，我会尽快给你回复。

@Modas-Li commented on GitHub (Nov 24, 2025): Thank you for your email !您好，你的邮件我已收到，我会尽快给你回复。
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Reference: langgenius/dify#20515
Delete Branch "%!s()"

Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?