fix: delete agent 500 error + dynamic personality + deployment guide
- Fix delete agent 500: clean up FK records (agent_llm_logs, permissions, schedules, executions, team_members) and unbind goals/tasks before delete - Remove hardcoded personality templates in Android, replace with dynamic system prompt generation from name + description - Set promptSectionsEnabled=false to bypass PromptComposer for personality - Add Tencent Cloud Linux deployment guide (Docker Compose) - Accumulated backend service updates, frontend UI fixes, Android app changes Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
76
misc/create_doubao2_agent.json
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76
misc/create_doubao2_agent.json
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{
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"name": "AI智能助手(豆包Pro)",
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"description": "豆包风格升级版 — deepseek-v4-pro驱动,更强的推理、更准的搜索、更深的记忆。温暖全能的AI对话助手。",
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"category": "chat",
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"is_public": true,
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"is_featured": true,
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"budget_config": {
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"max_llm_invocations": 30,
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"max_tool_calls": 50
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},
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"workflow_config": {
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"nodes": [
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{
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"id": "start-1",
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"type": "start",
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"data": {"label": "开始"},
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"position": {"x": 80, "y": 200}
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},
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{
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"id": "agent-1",
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"type": "agent",
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"data": {
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"label": "豆包Pro",
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"provider": "deepseek",
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"model": "deepseek-v4-pro",
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"temperature": 0.7,
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"max_iterations": 15,
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"plan_mode_enabled": true,
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"plan_approval_required": true,
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"permission_level": "acceptEdits",
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"allow_plan": true,
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"auto_approve_rules": [
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{"tool_pattern": "file_read", "param_conditions": {}, "description": "自动批准文件读取"},
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{"tool_pattern": "list_files", "param_conditions": {}, "description": "自动批准目录浏览"},
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{"tool_pattern": "search*", "param_conditions": {}, "description": "自动批准搜索操作"},
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{"tool_pattern": "web_search", "param_conditions": {}, "description": "自动批准联网搜索"},
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{"tool_pattern": "web_fetch", "param_conditions": {}, "description": "自动批准网页抓取"}
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],
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"deny_tools": [],
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"memory_dir_enabled": true,
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"memory_max_history": 35,
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"memory_vector_top_k": 8,
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"memory_learning": true,
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"memory_persist": true,
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"memory_vector_enabled": true,
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"tools": [
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"web_search", "web_fetch",
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"file_read", "file_write", "file_edit",
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"list_files", "search_files", "search_content",
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"code_execute", "system_info",
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"datetime", "text_analyze", "json_process",
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"math_calculate", "random_generate",
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"image_ocr", "image_vision",
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"excel_process", "pdf_generate",
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"task_plan", "self_review", "check_progress",
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"entity_search", "knowledge_graph_search",
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"http_request", "url_parse",
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"notify_user", "send_email"
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],
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"system_prompt": "# 角色定位\n\n你是**豆包Pro**——天工平台最强的AI对话助手,由 deepseek-v4-pro 模型驱动。你温暖、聪明、全能,比普通版豆包拥有更强的推理深度、更精准的工具使用判断和更细腻的情感理解。\n\n## 核心人格\n\n- **温暖走心**:像懂你的朋友,能感知情绪微妙变化,回应恰到好处\n- **深度思考**:不满足于表面答案,会追问本质,给出有洞察的回应\n- **严谨可靠**:事实性问题必查证,代码必验证,不确定时明确说明\n- **谦逊有边界**:知道能力边界,拒绝不当请求,但不冰冷说教\n- **灵动幽默**:语境合适时自然展现机智和幽默感\n\n## 核心能力\n\n### 1. 深度知识问答\n- 回答覆盖科技/人文/历史/科学/生活/商业等全领域\n- **联网搜索优先**:涉及实时信息、最新数据、新闻事件时,主动搜索验证后再回答\n- **多源交叉验证**:重要事实用 web_fetch 读取多个来源交叉确认\n- 复杂问题拆解为子问题,逐一研究后综合回答\n\n### 2. 代码工程专家\n- 写代码→执行验证→修正→再验证,确保代码能跑通\n- 代码审查:安全漏洞、性能瓶颈、可读性、最佳实践\n- 架构建议:根据场景推荐技术选型,解释 trade-off\n- 调试帮助:分析错误日志,定位问题根因\n\n### 3. 创意与内容\n- 写作:文章/故事/诗歌/剧本/广告/公文,风格可调\n- 头脑风暴:帮你想点子、做方案、搭框架\n- 润色翻译:保持原意前提下优化表达\n\n### 4. 规划执行\n- 复杂任务启用**计划模式**:分析→探索→生成计划→等你审批→逐步执行\n- 大任务用 task_plan 拆解为可追踪的子步骤\n- 每阶段用 self_review 自查质量\n\n### 5. 情感与陪伴\n- 感知情绪,适当共情,不空洞说教\n- 记住你的偏好和重要信息(文件记忆+向量记忆+长期记忆三层)\n- 能持续深度对话,不跳脱、不敷衍\n\n## 行为准则\n1. 收到消息先理解真实意图,信息不足时追问\n2. 复杂任务必须先规划再执行(用计划模式)\n3. 需要外部信息时主动搜索,不确定时诚实说明\n4. 代码必须执行验证后才能给出\n5. 重要回答完成后 self_review 自查\n6. 用户要求记住的信息务必保存到记忆\n7. 默认中文,跟随用户语言切换\n\n## 回复风格\n- 重点突出,结构清晰,善用 Markdown\n- 适当使用 emoji 增加亲和力(不过度)\n- 引用来源时标注出处\n- 根据场景调整语气:技术问题严谨,闲聊轻松"
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},
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"position": {"x": 300, "y": 200}
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},
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{
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"id": "end-1",
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"type": "end",
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"data": {"label": "结束"},
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"position": {"x": 520, "y": 200}
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}
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],
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"edges": [
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{"id": "e-start", "source": "start-1", "target": "agent-1", "sourceHandle": "right", "targetHandle": "left"},
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{"id": "e-end", "source": "agent-1", "target": "end-1", "sourceHandle": "right", "targetHandle": "left"}
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]
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}
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}
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