.Type:shell_api_error,OpenAIError.Code:model_ratio_not_config;导致报错的请求体为:{"max_to...

2026年06月03日 15:53 20.11 秒 success

错误信息

用户id[1690] 通道「等风起DeepSeek」(#1071)已被禁用 用户id[1690] 通道「等风起DeepSeek」(#1071)已被禁用,原因:model ratio not configured for model: deepseek-v4-flash, status_code:403, OpenAIError.Type:shell_api_error,OpenAIError.Code:model_ratio_not_config;导致报错的请求体为:{"max_tokens":4096,"messages":[{"content":"You are a strict data classifier for SFT (Supervised Fine-Tuning) training data.\n\nYour task is to read a user query (the first turn of a conversation) and classify it into exactly ONE of the following three writing-type labels based on the PRIMARY intent of the query.\n\n# Label Definitions\n\n## CREATIVE_WRITING\nThe user is asking the model to GENERATE imaginative, artistic, or expressive text. The core task is creative production.\nIncludes:\n- Story writing, novel writing, fiction, fanfiction\n- Poetry, song lyrics, verse\n- Script writing (screenplay, play, dialogue)\n- Creative essays, personal narratives, memoirs\n- World-building, character creation\n- Creative rewriting with stylistic flair (e.g., \"rewrite this in the style of Shakespeare\")\n- Imaginative scenarios, \"what if\" creative prompts\n- Joke/humor generation (when the primary task is creating original humorous content)\n\nKey signal: the output is judged by its creativity, originality, emotional impact, or artistic quality.\n\n## FUNCTIONAL_WRITING\nThe user is asking the model to GENERATE text that serves a practical, professional, or utilitarian purpose. The core task is functional text production.\nIncludes:\n- Email writing, letter writing, formal correspondence\n- Report writing, business documents, proposals, memos\n- Essay writing (academic, argumentative, expository — structured non-fiction)\n- Summarization of provided content\n- Translation between languages\n- Copywriting, advertisements, product descriptions, marketing content\n- Technical writing, documentation, instructions, manuals\n- Resume/CV writing, cover letters\n- Social media posts with a practical goal (promotion, announcement)\n- Outlining, drafting structured non-fiction\n- Paraphrasing or rewriting for clarity/correctness (not for creative effect)\n- Editing/proofreading requests where the output is corrected text\n\nKey signal: the output is judged by its clarity, correctness, usefulness, or adherence to a practical goal.\n\n## NON_WRITING\nThe user is NOT primarily asking the model to generate extended text. The query is about reasoning, analysis, information, conversation, or assistance.\nIncludes:\n- General chat, casual conversation, greetings\n- Question answering, knowledge queries, factual questions\n- Coding, programming, debugging, algorithm problems\n- Mathematical problem solving, calculations\n- Analysis, reasoning, logical problem solving\n- Advice, opinions, recommendations\n- Roleplay (the output is interactive conversation, not a written product)\n- Brainstorming ideas (where the output is a list/discussion, not polished text)\n- Explanation, teaching, tutoring\n- Classification, extraction, data transformation tasks\n- Planning, scheduling, decision-making help\n- Multi-turn tool use, agent interactions\n\nKey signal: the output is judged by correctness, helpfulness, or reasoning quality — NOT by writing quality.\n\n# Important Rules\n1. Classify based on the USER'S PRIMARY INTENT, not the assistant's response style.\n2. If a query could fit multiple labels, pick the MOST SPECIFIC one:\n - \"Write a story about a dragon\" → CREATIVE_WRITING (creative production)\n - \"Write an email to my boss about the project\" → FUNCTIONAL_WRITING (functional production)\n - \"What's the best way to write an email to my boss?\" → NON_WRITING (asking for advice)\n - \"Write a poem about my company's product\" → CREATIVE_WRITING (poetry is inherently creative)\n - \"Write a product description for our new shoes\" → FUNCTIONAL_WRITING (marketing copy is functional)\n3. \"Write a summary of...\" → FUNCTIONAL_WRITING (summarization is functional text generation)\n4. \"Tell me a story\" / \"Make up a tale\" → CREATIVE_WRITING\n5. \"Tell me about the history of Rome\" → NON_WRITING (knowledge query, not writing task)\n6. \"Help me write a novel about Rome\" → CREATIVE_WRITING\n7. Pure coding, math, logic, analysis → NON_WRITING\n8. Translation (any language pair) → FUNCTIONAL_WRITING\n9. When the user's request is ambiguous between FUNCTIONAL and CREATIVE, default to FUNCTIONAL_WRITING if there's a practical purpose, and CREATIVE_WRITING if the primary goal is artistic/entertainment.\n\n# Output Format\nReturn ONLY a valid JSON object. No markdown, no extra text.\n\n{\"label\": \"\u003cLABEL\u003e\", \"reason\": \"\u003cone brief sentence explaining why, in Chinese or Eng

AI 解决方案

1. 🌐 错误翻译


原文:用户id[1690] 通道「等风起DeepSeek」(#1071)已被禁用,原因:model ratio not configured for model: deepseek-v4-flash, status_code:403, OpenAIError.Type:shell_api_error,OpenAIError.Code:model_ratio_not_config
译文:用户ID[1690] 通道「等风起DeepSeek」(#1071)已被禁用,原因:模型deepseek-v4-flash未配置模型比例,状态码:403,OpenAI错误类型:shell_api_error,OpenAI错误代码:model_ratio_not_config

2. 🎯 原因分析


  • 根本原因:请求使用的模型 deepseek-v4-flash 未在平台配置对应的模型调用比例,属于平台侧的模型配置缺失。

  • 错误位置:错误发生在平台API调用校验环节,与用户请求代码逻辑无关,是平台服务端对模型的权限校验未通过导致。
  • 3. 💡 解决方案


    此错误由平台配置问题导致,无法通过修改用户请求代码修复,需联系平台管理员完成以下操作:
  • 登录平台管理后台,进入「模型配置管理」模块。

  • 为模型 deepseek-v4-flash 配置对应的调用比例参数,确保模型处于可用状态。

  • 若为临时使用,可联系平台运维人员手动开通该模型的使用权限。
  • 4. 🛡️ 预防措施


  • 模型选择前置校验:开发阶段先确认平台已支持的目标模型列表,避免调用未配置的模型。

  • 错误监控与反馈:集成平台API错误码监控,出现 model_ratio_not_config 等配置类错误时,快速定位并同步给平台技术团队。

  • 开发测试验证:接入模型前,通过测试环境验证模型可用性,再切换至生产环境调用