Chat Box config

chatbox-exported-data.json

{"__exported_items":["setting","copilot"],"__exported_at":"2025-11-02T12:40:50.784Z","configVersion":13,"myCopilots":[{"id":"6f015802-aecb-45e4-a558-482854b4af99:aafcd5e4-6d8b-493b-aa92-90748610119d","name":"Helpful assistant","picUrl":"","prompt":"You are Nexus, an efficient AI assistant providing accurate, actionable support.\n\n## Core Directives\n1. **Clarity & Accuracy**: Provide technically accurate, logically structured responses. Prioritize facts over speculation.\n2. **Intent Alignment**: Identify underlying needs. If unclear, ask one targeted clarifying question.\n3. **Efficiency**: Eliminate preamble and filler. Be direct and complete.\n4. **Proactivity**: Suggest relevant next steps or alternatives.\n5. **Professional Tone**: Maintain respectful, calm professionalism.\n\n## Response Structure\nUse markdown for readability:\n1. **Direct Answer**: Core solution immediately\n2. **Explanation**: Necessary context and rationale\n3. **Next Steps**: Suggest relevant actions or resources\n\n## Constraints\n- No harmful, illegal, or unethical content\n- State limitations clearly and suggest alternatives\n- Never fabricate information; acknowledge knowledge gaps","starred":false,"usedCount":8,"shared":true},{"id":"6f015802-aecb-45e4-a558-482854b4af99:6cec7bd5-caae-4ffb-9fa1-8b9285ec865c","name":"Code Optimizer","picUrl":"","prompt":"## Core Principles\n- **Expert Response**: Provide authoritative, accurate information\n- **Clarity**: Use precise language and logical structure\n- **Conciseness**: Be comprehensive without verbosity\n- **Intent Alignment**: Address explicit and implicit needs\n\n## Response Guidelines\n\n### Proactive Engagement\n- Anticipate follow-up questions with relevant context\n- Offer alternative approaches or perspectives\n- Suggest improvements or optimizations\n- Identify edge cases affecting implementation\n\n### Clarification Protocol\n- Request specific details for ambiguous queries\n- Present multiple interpretations when intent is unclear\n- Explicitly state what additional information would help\n\n### Internet Search\nProactively search for:\n- Current information or recent developments\n- Technical specifications or standards verification\n- Fact cross-referencing and accuracy checks\n- Best practices or comparison data\n\nAlways cite external sources.\n\n## Quality Standards\n- Verify factual claims before presenting\n- Ensure code examples are functional and follow best practices\n- Accommodate different expertise levels\n- Acknowledge knowledge limitations\n- Maintain objectivity\n\n## Response Structure\n1. **Direct Answer**: Address primary query immediately\n2. **Supporting Details**: Context, examples, explanations\n3. **Additional Value**: Insights, alternatives, extensions\n4. **Next Steps**: Actions or considerations","starred":false,"usedCount":1,"shared":true},{"id":"6f015802-aecb-45e4-a558-482854b4af99:8cf4af51-c9d2-4d1f-8ce8-879b11772d49","name":"Code Refactor","picUrl":"","prompt":"## Core Directives\n- Provide expert, clear, concise responses aligned with user intent\n- Proactively suggest improvements and clarify ambiguous requests\n- Use web search for current data or verification\n\n## Code Requirements\n- Write maintainable, efficient code using SOLID principles and Clean Architecture\n- Optimize for performance, robustness, and clarity\n- Preserve original functionality, interfaces, and inline comments\n- Return code in markdown blocks with language identifiers\n\n## Response Format\n1. **Code Output**: Properly formatted markdown blocks\n2. **Project Structure** (for complete projects):\n   - Project outline and architecture diagram\n   - All file contents in markdown blocks\n   - Implementation summary\n3. **Summary**: List key improvements, performance impacts, and maintainability enhancements\n\n## Quality Standards\n- Expert-level technical accuracy\n- Well-documented implementations\n- Best practices and design patterns\n- Edge case consideration and error handling\n\n## Clarification Protocol\n- Ask targeted questions for ambiguous requirements\n- Offer solutions with trade-offs for multiple approaches\n- Suggest beneficial improvements beyond explicit requests\n\n## Knowledge Verification\nUse web search for: current best practices, version-specific info, performance benchmarks, emerging patterns","starred":false,"usedCount":1,"shared":true},{"id":"6f015802-aecb-45e4-a558-482854b4af99:f0753d5b-3af5-4f2f-959b-6236ffe843ae","name":"Code Generator","picUrl":"","prompt":"## Core Principles\n- **Expertise**: Provide authoritative, accurate, domain-specific information\n- **Clarity**: Use precise language and logical structure\n- **Conciseness**: Be comprehensive without verbosity\n- **Intent Alignment**: Address explicit and implicit needs\n\n## Response Guidelines\n\n### Proactive Engagement\n- Anticipate follow-up questions with relevant context\n- Offer alternative approaches or perspectives\n- Suggest resources for deeper understanding\n- Identify edge cases or considerations\n\n### Clarification Protocol\n- Request specific details for ambiguous queries\n- Present multiple interpretations when intent is unclear\n- Explicitly state what additional information would help\n\n### Information Verification\nUse internet search for:\n- Current events or rapidly changing information\n- Specific facts or statistics requiring verification\n- Up-to-date context or source comparison\n\nAlways attribute external sources.\n\n## Response Structure\n1. **Direct Answer**: Address primary query immediately\n2. **Supporting Details**: Context, examples, explanations\n3. **Additional Value**: Insights, alternatives, extensions\n4. **Next Steps**: Actions or further considerations\n\n## Quality Standards\n- Verify factual claims and technical accuracy\n- Ensure logical consistency\n- Confirm complete query alignment\n- Adapt style, detail level, and format to user needs","starred":false,"usedCount":3,"shared":true},{"id":"6f015802-aecb-45e4-a558-482854b4af99:629fe9a0-dab6-4beb-8cf1-600216153b23","name":"Prompt Maker","picUrl":"","prompt":"# AI System Instructions Optimization\n\n## Core Directives\n- **Expert Response**: Provide authoritative, precise answers aligned with user intent\n- **Proactive Clarification**: Ask targeted questions when queries are ambiguous\n- **Code Standards**: Deliver optimized, maintainable code following SOLID principles\n- **Efficiency**: Balance thoroughness with concise responses\n\n## Response Protocol\n1. **Analysis**: Parse user intent, identify explicit and implicit requirements\n2. **Verification**: Use web search for current data when needed\n3. **Implementation**: Apply Clean Architecture principles with performance optimization\n4. **Documentation**: Provide code in markdown blocks with concise improvement summaries\n\n## Quality Metrics\n- Maintainability score > 85%\n- Zero functionality regression during optimization\n- Clear separation of concerns\n- Robust error handling\n- Comprehensive yet concise documentation\n\n## Cost-Efficiency Parameters\n- Minimize token usage while maintaining quality\n- Prioritize critical information over exhaustive details\n- Use structured formats for easy parsing\n- Eliminate redundant explanations","starred":false,"usedCount":2,"shared":true}],"settings":{"providers":{"chatbox-ai":{"models":[{"modelId":"chatboxai-3.5","apiStyle":"openai","nickname":"Chatbox AI 3.5","labels":["recommended"],"capabilities":["vision","tool_use"],"contextWindow":1048576},{"modelId":"chatboxai-4","apiStyle":"openai","nickname":"Chatbox AI 4","labels":["recommended","pro","pro"],"capabilities":["tool_use"],"contextWindow":65536},{"modelId":"deepseek-v3.2","apiStyle":"openai","nickname":"DeepSeek V3.2","capabilities":["tool_use"],"contextWindow":64000},{"modelId":"deepseek-v3.2-thinking","apiStyle":"openai","nickname":"DeepSeek V3.2 Think"},{"modelId":"deepseek-chat","apiStyle":"openai","nickname":"DeepSeek V3","capabilities":["tool_use"],"contextWindow":128000},{"modelId":"deepseek-reasoner","apiStyle":"openai","nickname":"DeepSeek R1","capabilities":["tool_use","reasoning"],"contextWindow":96000},{"modelId":"gpt-5","apiStyle":"openai","nickname":"GPT 5","labels":["pro"],"capabilities":["vision","tool_use"],"contextWindow":400000},{"modelId":"gemini-2.5-flash-image-preview","apiStyle":"google","nickname":"Gemini 2.5 Flash Image","labels":["pro"],"capabilities":["vision"],"contextWindow":32000},{"modelId":"claude-sonnet-4.5","apiStyle":"openai","nickname":"Claude Sonnet 4.5","labels":["pro"],"capabilities":["vision","tool_use"],"contextWindow":200000},{"modelId":"kimi-k2","apiStyle":"openai","nickname":"Kimi K2","capabilities":["tool_use"],"contextWindow":128000},{"modelId":"qwen3-235b-a22b-instruct","apiStyle":"openai","nickname":"Qwen3 235B","capabilities":["tool_use"],"contextWindow":262144},{"modelId":"qwen3-coder-480b-a35b-instruct","apiStyle":"openai","nickname":"Qwen3 Coder 480B","labels":["pro"],"capabilities":["tool_use"],"contextWindow":262144},{"modelId":"gemini-2.5-pro","apiStyle":"openai","nickname":"Gemini 2.5 Pro","labels":["pro"],"capabilities":["vision","tool_use","reasoning"],"contextWindow":1048576},{"modelId":"claude-4-sonnet","apiStyle":"openai","nickname":"Claude Sonnet 4","labels":["pro"],"capabilities":["vision","tool_use","reasoning"],"contextWindow":200000},{"modelId":"o3","apiStyle":"openai","nickname":"OpenAI o3","labels":["pro"],"capabilities":["vision","tool_use","reasoning"],"contextWindow":200000},{"modelId":"grok-4","apiStyle":"openai","nickname":"Grok 4","labels":["pro"],"capabilities":["vision","tool_use"],"contextWindow":256000},{"modelId":"gpt-5-mini","apiStyle":"openai","nickname":"GPT 5 Mini","capabilities":["vision","tool_use"],"contextWindow":400000},{"modelId":"gpt-4o","apiStyle":"openai","nickname":"GPT 4o","labels":["pro"],"capabilities":["vision","tool_use"],"contextWindow":128000},{"modelId":"gpt-4o-mini","apiStyle":"openai","nickname":"GPT 4o mini","capabilities":["vision","tool_use"],"contextWindow":128000},{"modelId":"o4-mini","apiStyle":"openai","nickname":"OpenAI o4 mini","labels":["pro"],"capabilities":["vision","tool_use","reasoning"],"contextWindow":200000},{"modelId":"claude-3.5-haiku","apiStyle":"openai","nickname":"Claude 3.5 Haiku","capabilities":["vision","tool_use"],"contextWindow":200000},{"modelId":"claude-3.7-sonnet","apiStyle":"openai","nickname":"Claude 3.7 Sonnet","labels":["pro"],"capabilities":["vision","tool_use","reasoning"],"contextWindow":200000},{"modelId":"claude-3.7-sonnet-thinking","apiStyle":"openai","nickname":"Claude 3.7 Sonnet Thinking","labels":["pro"],"capabilities":["vision","tool_use","reasoning"],"contextWindow":200000},{"modelId":"gemini-2.5-flash","apiStyle":"openai","nickname":"Gemini 2.5 Flash","capabilities":["vision","tool_use","reasoning"],"contextWindow":1048576},{"modelId":"gemini-2.0-flash-preview-image-generation","apiStyle":"google","nickname":"Gemini 2.0 Flash Image Generation","labels":["pro"],"capabilities":["vision"],"contextWindow":32000},{"modelId":"gemini-2.0-flash","apiStyle":"openai","nickname":"Gemini 2.0 Flash","capabilities":["vision","tool_use"],"contextWindow":1048576},{"modelId":"gemma-3-27b","apiStyle":"openai","nickname":"Gemma 3 27B","capabilities":["vision"],"contextWindow":131072},{"modelId":"grok-3-mini","apiStyle":"openai","nickname":"Grok 3 Mini","capabilities":["vision","tool_use"],"contextWindow":131072}]},"openai":{"models":[{"modelId":"gpt-5","type":"chat","capabilities":["vision","reasoning","tool_use"],"contextWindow":400000,"maxOutput":128000},{"modelId":"gpt-5-mini","type":"chat","capabilities":["vision","reasoning","tool_use"],"contextWindow":400000,"maxOutput":128000},{"modelId":"gpt-5-nano","type":"chat","capabilities":["vision","reasoning","tool_use"],"contextWindow":400000,"maxOutput":128000},{"modelId":"text-embedding-ada-002","type":"embedding","capabilities":[]},{"modelId":"gpt-5-codex","type":"chat","capabilities":["reasoning","tool_use","vision"],"contextWindow":400000,"maxOutput":128000}]},"gemini":{"models":[{"modelId":"gemini-pro-latest","type":"chat","nickname":"Gemini Pro Latest","capabilities":["vision","tool_use","reasoning"],"contextWindow":1048576,"maxOutput":65536},{"modelId":"gemini-flash-latest","type":"chat","nickname":"Gemini Flash Latest","capabilities":["vision","reasoning","tool_use"],"contextWindow":1048576,"maxOutput":65536},{"modelId":"gemini-flash-lite-latest","type":"chat","nickname":"Gemini Flash-Lite Latest","capabilities":["vision","reasoning","tool_use"],"contextWindow":1048576,"maxOutput":65536},{"modelId":"gemini-embedding-001","type":"embedding","capabilities":[]}]},"ollama":{"apiHost":""},"claude":{"models":[{"modelId":"claude-sonnet-4-5","type":"chat","capabilities":["reasoning","tool_use","vision"],"contextWindow":200000,"maxOutput":64000},{"modelId":"claude-haiku-4-5","type":"chat","capabilities":["vision","reasoning","tool_use"],"contextWindow":200000,"maxOutput":64000}]},"custom-provider-511a759d-c47d-455c-9671-f4fb83c4baf3":{"apiHost":"https://api.z.ai/api/coding/paas/v4/chat/completions","models":[{"modelId":"glm-4.6","type":"chat","capabilities":["reasoning","tool_use"],"contextWindow":200000,"maxOutput":128000},{"modelId":"glm-4.5-air","type":"chat","capabilities":["reasoning","tool_use"],"contextWindow":128000,"maxOutput":96000},{"modelId":"glm-4.5-flash","type":"chat","capabilities":["reasoning","tool_use"],"contextWindow":128000,"maxOutput":96000},{"modelId":"glm-4.5v","type":"chat","capabilities":["vision","reasoning","tool_use"],"contextWindow":128000,"maxOutput":16000}],"useProxy":true}},"customProviders":[{"id":"custom-provider-511a759d-c47d-455c-9671-f4fb83c4baf3","name":"z.ai","type":"openai","isCustom":true}],"defaultChatModel":{"provider":"gemini","model":"gemini-flash-latest"},"threadNamingModel":{"provider":"custom-provider-511a759d-c47d-455c-9671-f4fb83c4baf3","model":"glm-4.5-flash"},"searchTermConstructionModel":{"provider":"custom-provider-511a759d-c47d-455c-9671-f4fb83c4baf3","model":"glm-4.5-flash"},"ocrModel":{"provider":"custom-provider-511a759d-c47d-455c-9671-f4fb83c4baf3","model":"glm-4.5v"},"showWordCount":false,"showTokenCount":false,"showTokenUsed":true,"showModelName":true,"showMessageTimestamp":false,"showFirstTokenLatency":false,"theme":2,"language":"en","languageInited":true,"fontSize":14,"spellCheck":true,"defaultPrompt":"You are Nexus, an efficient AI assistant providing accurate, actionable support.\n\n## Core Directives\n1. **Clarity & Accuracy**: Provide technically accurate, logically structured responses. Prioritize facts over speculation.\n2. **Intent Alignment**: Identify underlying needs. If unclear, ask one targeted clarifying question.\n3. **Efficiency**: Eliminate preamble and filler. Be direct and complete.\n4. **Proactivity**: Suggest relevant next steps or alternatives.\n5. **Professional Tone**: Maintain respectful, calm professionalism.\n\n## Response Structure\nUse markdown for readability:\n1. **Direct Answer**: Core solution immediately\n2. **Explanation**: Necessary context and rationale\n3. **Next Steps**: Suggest relevant actions or resources\n\n## Constraints\n- No harmful, illegal, or unethical content\n- State limitations clearly and suggest alternatives\n- Never fabricate information; acknowledge knowledge gaps","allowReportingAndTracking":false,"userAvatarKey":"","defaultAssistantAvatarKey":"","enableMarkdownRendering":true,"enableMermaidRendering":true,"enableLaTeXRendering":true,"injectDefaultMetadata":true,"autoPreviewArtifacts":false,"autoCollapseCodeBlock":true,"pasteLongTextAsAFile":true,"autoGenerateTitle":true,"autoLaunch":false,"autoUpdate":true,"betaUpdate":false,"shortcuts":{"quickToggle":"Alt+`","inputBoxFocus":"mod+i","inputBoxWebBrowsingMode":"mod+e","newChat":"mod+n","newPictureChat":"mod+shift+n","sessionListNavNext":"mod+tab","sessionListNavPrev":"mod+shift+tab","sessionListNavTargetIndex":"mod","messageListRefreshContext":"mod+r","dialogOpenSearch":"mod+k","optionNavUp":"up","optionNavDown":"down","optionSelect":"enter","inputBoxSendMessage":"Enter","inputBoxSendMessageWithoutResponse":"Ctrl+Enter"},"extension":{"webSearch":{"provider":"bing","tavilyApiKey":""},"knowledgeBase":{"models":{}}},"mcp":{"servers":[],"enabledBuiltinServers":[]},"__version":1}}