159 lines
6.2 KiB
Python
Executable File
159 lines
6.2 KiB
Python
Executable File
# prompt模板使用Jinja2语法,简单点就是用双大括号代替f-string的单大括号
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# 本配置文件支持热加载,修改prompt模板后无需重启服务。
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# LLM对话支持的变量:
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# - input: 用户输入内容
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# 知识库和搜索引擎对话支持的变量:
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# - context: 从检索结果拼接的知识文本
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# - question: 用户提出的问题
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# Agent对话支持的变量:
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# - tools: 可用的工具列表
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# - tool_names: 可用的工具名称列表
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# - history: 用户和Agent的对话历史
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# - input: 用户输入内容
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# - agent_scratchpad: Agent的思维记录
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PROMPT_TEMPLATES = {
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"completion": {
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"default": "{input}"
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},
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"llm_chat": {
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"default": "{{ input }}",
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"py":
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"""
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你是一个聪明的代码助手,请你给我写出简单的py代码。 \n
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{{ input }}
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"""
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,
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},
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"knowledge_base_chat": {
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"default":
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"""
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<指令>根据已知信息,简洁和专业的来回答问题。如果无法从中得到答案,请说 “根据已知信息无法回答该问题”,不允许在答案中添加编造成分,答案请使用中文。 </指令>
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<已知信息>{{ context }}</已知信息>、
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<问题>{{ question }}</问题>
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""",
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"text":
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"""
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<指令>根据已知信息,简洁和专业的来回答问题。如果无法从中得到答案,请说 “根据已知信息无法回答该问题”,答案请使用中文。 </指令>
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<已知信息>{{ context }}</已知信息>、
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<问题>{{ question }}</问题>
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""",
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"Empty": # 搜不到内容的时候调用,此时没有已知信息,这个Empty可以更改,但不能删除,会影响程序使用
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"""
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<指令>请根据用户的问题,进行简洁明了的回答</指令>
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<问题>{{ question }}</问题>
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""",
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},
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"search_engine_chat": {
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"default":
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"""
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<指令>这是我搜索到的互联网信息,请你根据这些信息进行提取并有调理,简洁的回答问题。如果无法从中得到答案,请说 “无法搜索到能回答问题的内容”。 </指令>
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<已知信息>{{ context }}</已知信息>、
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<问题>{{ question }}</问题>
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""",
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"search":
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"""
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<指令>根据已知信息,简洁和专业的来回答问题。如果无法从中得到答案,请说 “根据已知信息无法回答该问题”,答案请使用中文。 </指令>
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<已知信息>{{ context }}</已知信息>、
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<问题>{{ question }}</问题>
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""",
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"Empty": # 搜不到内容的时候调用,此时没有已知信息,这个Empty可以更改,但不能删除,会影响程序使用
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"""
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<指令>请根据用户的问题,进行简洁明了的回答</指令>
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<问题>{{ question }}</问题>
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""",
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},
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"agent_chat": {
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"default":
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"""
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Answer the following questions as best you can. If it is in order, you can use some tools appropriately.You have access to the following tools:
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{tools}
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Please note that the "知识库查询工具" is information about the "西交利物浦大学" ,and if a question is asked about it, you must answer with the knowledge base,
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Please note that the "天气查询工具" can only be used once since Question begin.
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Use the following format:
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Question: the input question you must answer1
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Thought: you should always think about what to do and what tools to use.
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Action: the action to take, should be one of [{tool_names}]
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Action Input: the input to the action
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Observation: the result of the action
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... (this Thought/Action/Action Input/Observation can be repeated zero or more times)
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Thought: I now know the final answer
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Final Answer: the final answer to the original input question
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Begin!
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history:
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{history}
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Question: {input}
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Thought: {agent_scratchpad}
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""",
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"AgentLM":
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"""
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<SYS>>\n
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You are a helpful, respectful and honest assistant.
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</SYS>>\n
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Answer the following questions as best you can. If it is in order, you can use some tools appropriately.You have access to the following tools:
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{tools}.
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Use the following steps and think step by step!:
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Question: the input question you must answer1
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Thought: you should always think about what to do and what tools to use.
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Action: the action to take, should be one of [{tool_names}]
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Action Input: the input to the action
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Observation: the result of the action
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... (this Thought/Action/Action Input/Observation can be repeated zero or more times)
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Thought: I now know the final answer
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Final Answer: the final answer to the original input question
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Begin! let's think step by step!
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history:
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{history}
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Question: {input}
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Thought: {agent_scratchpad}
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""",
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"中文版本":
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"""
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你的知识不一定正确,所以你一定要用提供的工具来思考,并给出用户答案。
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你有以下工具可以使用:
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{tools}
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请请严格按照提供的思维方式来思考,所有的关键词都要输出,例如Action,Action Input,Observation等
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```
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Question: 用户的提问或者观察到的信息,
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Thought: 你应该思考该做什么,是根据工具的结果来回答问题,还是决定使用什么工具。
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Action: 需要使用的工具,应该是在[{tool_names}]中的一个。
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Action Input: 传入工具的内容
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Observation: 工具给出的答案(不是你生成的)
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... (this Thought/Action/Action Input/Observation can be repeated zero or more times)
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Thought: 通过工具给出的答案,你是否能回答Question。
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Final Answer是你的答案
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现在,我们开始!
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你和用户的历史记录:
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History:
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{history}
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用户开始以提问:
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Question: {input}
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Thought: {agent_scratchpad}
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""",
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},
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}
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