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Merge pull request #558 from Yanghuabei-design/workflow/add-a-workflow
feat(workflow): add general_problem_solving_team
This commit is contained in:
Shu Yao
GitHub
commit
c7bb2df9e5
330
yaml_instance/general_problem_solving_team.yaml
Normal file
330
yaml_instance/general_problem_solving_team.yaml
Normal file
@ -0,0 +1,330 @@
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graph:
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id: general_problem_solving_team
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description: 通用问题解决专家小组，包括需求理解与拆解部门、逻辑推理与分析部门、创意与方案生成部门、语言表达部门、技术实现部门、信息搜集部门、审核部门。
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log_level: DEBUG
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is_majority_voting: false
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nodes:
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- id: Summary Department
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type: agent
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config:
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name: ${MODEL_NAME}
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provider: openai
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role: |-
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你是一个通用问题解决小组的一员。你的职务是“总结输出负责人”。
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你将接收到来自所有上级专家智能体的指令。你将负责整合他们的信息并综合输出。
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你是【最终总结专家】，是用户看到的唯一出口：
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整合所有部门结果，整理成通顺、完整、友好的回答
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结构清晰：重点前置、分点、易懂
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不添加新信息，不篡改内容
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输出：给用户的最终回答。
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base_url: ${BASE_URL}
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api_key: ${API_KEY}
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params: {}
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tooling:
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- type: function
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config:
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tools:
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- name: file:All
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- name: user:All
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- name: video:All
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- name: weather:All
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- name: web:All
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- name: code_executor:All
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timeout: null
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prefix: ''
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thinking: null
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memories: []
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retry: null
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description: ''
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context_window: -1
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log_output: true
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- id: Technician
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type: agent
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config:
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name: ${MODEL_NAME}
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provider: openai
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role: |-
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你是一个通用问题解决小组的一员。你的职务是“技术实现专家。
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你将接收到来自上级智能体的指令。寻找指令中关于“技术实现”的部分，只执行这部分指令，并完全忽略其它不属于你的指令。
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你是【技术实现专家】，负责所有可落地的技术任务：
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写代码、写脚本、写命令
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设计步骤、流程、工具调用
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保证代码可运行、思路清晰
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只输出技术方案 + 可执行内容，不闲聊。
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base_url: ${BASE_URL}
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api_key: ${API_KEY}
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params: {}
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tooling:
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- type: function
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config:
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tools:
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- name: code_executor:All
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- name: file:All
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- name: utils:All
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- name: uv_related:All
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timeout: null
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prefix: ''
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thinking: null
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memories: []
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retry: null
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description: ''
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context_window: -1
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log_output: true
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- id: Scheme Generater
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type: agent
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config:
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name: ${MODEL_NAME}
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provider: openai
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role: |
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你是一个通用问题解决小组的一员。你的职务是“方案生成专家”。
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你将接收到来自上级智能体的指令。寻找指令中关于“方案生成”的部分，只执行这部分指令，并完全忽略其它不属于你的指令。
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你是【方案生成专家】：
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当问题没有唯一答案时，生成多套可行方案
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给出建议、策划、思路、表达优化
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兼顾实用性与可读性
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输出：清晰、可选择、可直接使用的方案。
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base_url: ${BASE_URL}
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api_key: ${API_KEY}
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params: {}
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tooling: []
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thinking: null
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memories: []
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retry: null
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description: ''
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context_window: -1
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log_output: true
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- id: Reasoner
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type: agent
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config:
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name: ${MODEL_NAME}
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provider: openai
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role: |-
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你是一个通用问题解决小组的一员。你的职务是“逻辑推理专家”。
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你将收到3条指令：
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你将接收到来自“Demand Analyzer”指令。寻找指令中关于“逻辑推理”的部分，只执行这部分指令，并完全忽略其它不属于你的指令。
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你将收到来自“Information Searcher”的分析。这是一位信息搜取专家。
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你将收到来自“Technician”的结果。这是你们团队的技术人员。
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你是【逻辑推理与分析专家】：
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基于已有信息做推导、对比、判断、计算
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找出漏洞、矛盾、不合理之处
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给出结论、原因、优先级
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不做创意，不写代码，不搜新信息，只做理性分析。
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base_url: ${BASE_URL}
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api_key: ${API_KEY}
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params: {}
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tooling: []
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thinking:
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type: reflection
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config:
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reflection_prompt: Thinking {type = true}
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memories: []
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retry: null
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description: ''
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context_window: -1
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log_output: true
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- id: Information Searcher
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type: agent
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config:
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name: ${MODEL_NAME}
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provider: openai
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role: |-
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你是一个通用问题解决小组的一员。你的职务是“信息搜集专家”。
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你将接收到来自上级智能体的指令。寻找指令中关于“信息搜集”的部分，只执行这部分指令，并完全忽略其它不属于你的指令。
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你是【信息搜集专家】，只做事实类信息获取：
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搜索最新、权威、准确的资料
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只保留与任务相关的关键信息
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不编造、不扩展、不推理
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输出：结构化要点，来源可靠，简洁客观。
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base_url: ${BASE_URL}
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api_key: ${API_KEY}
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params: {}
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tooling:
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- type: function
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config:
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tools:
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- name: web:All
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- name: weather:All
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timeout: null
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prefix: ''
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thinking: null
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memories: []
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retry: null
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description: ''
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context_window: -1
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log_output: true
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- id: Demand Analyze
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type: agent
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config:
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name: ${MODEL_NAME}
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provider: openai
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role: |-
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你是一个通用问题解决小组的一员。其中：
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你是【需求拆解专家】，只做一件事：
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把用户模糊、简短的一句话，精准理解真实意图，并拆成可执行的小任务。
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输出要求：
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用户真正想解决什么问题
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必须拆成 ≤5 个明确子任务
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标注每个任务交给哪个部门：信息搜集 / 逻辑推理 / 技术实现 / 方案生成 / 总结输出
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给每个部门的任务必须符合他们的职能，不同部门之间的任务不可以重叠
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如果你认为该问题用不到5个部门，则可以明确指出不需要它们工作
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禁止回答问题，只输出拆解结果。
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base_url: ${BASE_URL}
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api_key: ${API_KEY}
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params: {}
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tooling:
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- type: function
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config:
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tools:
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- name: user:All
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timeout: null
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prefix: ''
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thinking: null
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memories: []
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retry:
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enabled: true
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max_attempts: 2
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min_wait_seconds: 1
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max_wait_seconds: 6
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retry_on_status_codes: []
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retry_on_exception_types: []
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non_retry_exception_types: []
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retry_on_error_substrings: []
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description: ''
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context_window: 0
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log_output: true
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edges:
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- from: Information Searcher
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to: Summary Department
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trigger: true
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condition:
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type: function
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config:
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name: 'true'
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carry_data: true
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keep_message: false
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clear_context: false
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clear_kept_context: false
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process: null
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dynamic: null
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- from: Reasoner
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to: Summary Department
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trigger: true
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condition:
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type: function
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config:
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name: 'true'
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carry_data: true
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keep_message: false
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clear_context: false
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clear_kept_context: false
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process: null
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dynamic: null
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- from: Technician
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to: Summary Department
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trigger: true
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condition:
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type: function
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config:
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name: 'true'
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carry_data: true
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keep_message: false
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clear_context: false
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clear_kept_context: false
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process: null
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dynamic: null
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- from: Scheme Generater
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to: Summary Department
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trigger: true
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condition:
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type: function
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config:
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name: 'true'
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carry_data: true
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keep_message: false
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clear_context: false
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clear_kept_context: false
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process: null
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dynamic: null
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- from: Demand Analyze
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to: Information Searcher
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trigger: true
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condition:
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type: function
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config:
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name: 'true'
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carry_data: true
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keep_message: false
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clear_context: false
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clear_kept_context: false
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process: null
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dynamic: null
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- from: Demand Analyze
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to: Reasoner
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trigger: true
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condition:
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type: function
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config:
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name: 'true'
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carry_data: true
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keep_message: false
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clear_context: false
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clear_kept_context: false
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process: null
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dynamic: null
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- from: Demand Analyze
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to: Technician
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trigger: true
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condition:
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type: function
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config:
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name: 'true'
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carry_data: true
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keep_message: false
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clear_context: false
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clear_kept_context: false
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process: null
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dynamic: null
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- from: Demand Analyze
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to: Scheme Generater
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trigger: true
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condition:
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type: function
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config:
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name: 'true'
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carry_data: true
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keep_message: false
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clear_context: false
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clear_kept_context: false
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process: null
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dynamic: null
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- from: Information Searcher
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to: Reasoner
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trigger: true
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condition:
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type: function
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config:
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name: 'true'
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carry_data: true
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keep_message: false
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clear_context: false
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clear_kept_context: false
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process: null
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dynamic: null
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- from: Technician
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to: Reasoner
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trigger: true
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condition:
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type: function
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config:
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name: 'true'
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carry_data: true
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keep_message: false
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clear_context: false
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clear_kept_context: false
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process: null
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dynamic: null
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memory: []
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initial_instruction: 请输入您想解决的问题。
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start:
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- Demand Analyze
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end: []
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