# 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 # 本配置文件支持热加载,修改prompt模板后无需重启服务。 # LLM对话支持的变量: # - input: 用户输入内容 # 知识库和搜索引擎对话支持的变量: # - context: 从检索结果拼接的知识文本 # - question: 用户提出的问题 # Agent对话支持的变量: # - tools: 可用的工具列表 # - tool_names: 可用的工具名称列表 # - history: 用户和Agent的对话历史 # - input: 用户输入内容 # - agent_scratchpad: Agent的思维记录 PROMPT_TEMPLATES = { "completion": { "default": "{input}" }, "llm_chat": { "default": "{{ input }}", "py": """ 你是一个聪明的代码助手,请你给我写出简单的py代码。 \n {{ input }} """ , }, "knowledge_base_chat": { "default": """ <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。 <已知信息>{{ context }}、 <问题>{{ question }} """, "text": """ <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。 <已知信息>{{ context }}、 <问题>{{ question }} """, "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 """ <指令>请根据用户的问题,进行简洁明了的回答 <问题>{{ question }} """, }, "search_engine_chat": { "default": """ <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”。 <已知信息>{{ context }}、 <问题>{{ question }} """, "search": """ <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。 <已知信息>{{ context }}、 <问题>{{ question }} """, "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 """ <指令>请根据用户的问题,进行简洁明了的回答 <问题>{{ question }} """, }, "agent_chat": { "default": """ 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: {tools} 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, Please note that the "天气查询工具" can only be used once since Question begin. Use the following format: Question: the input question you must answer1 Thought: you should always think about what to do and what tools to use. Action: the action to take, should be one of [{tool_names}] Action Input: the input to the action Observation: the result of the action ... (this Thought/Action/Action Input/Observation can be repeated zero or more times) Thought: I now know the final answer Final Answer: the final answer to the original input question Begin! history: {history} Question: {input} Thought: {agent_scratchpad} """, "AgentLM": """ >\n You are a helpful, respectful and honest assistant. >\n 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: {tools}. Use the following steps and think step by step!: Question: the input question you must answer1 Thought: you should always think about what to do and what tools to use. Action: the action to take, should be one of [{tool_names}] Action Input: the input to the action Observation: the result of the action ... (this Thought/Action/Action Input/Observation can be repeated zero or more times) Thought: I now know the final answer Final Answer: the final answer to the original input question Begin! let's think step by step! history: {history} Question: {input} Thought: {agent_scratchpad} """, "中文版本": """ 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。 你有以下工具可以使用: {tools} 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 ``` Question: 用户的提问或者观察到的信息, 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。 Action: 需要使用的工具,应该是在[{tool_names}]中的一个。 Action Input: 传入工具的内容 Observation: 工具给出的答案(不是你生成的) ... (this Thought/Action/Action Input/Observation can be repeated zero or more times) Thought: 通过工具给出的答案,你是否能回答Question。 Final Answer是你的答案 现在,我们开始! 你和用户的历史记录: History: {history} 用户开始以提问: Question: {input} Thought: {agent_scratchpad} """, }, }