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| # 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 = { | |
| "llm_chat": { | |
| "default": | |
| '{{ input }}', | |
| "with_history": | |
| 'The following is a friendly conversation between a human and an AI. ' | |
| 'The AI is talkative and provides lots of specific details from its context. ' | |
| 'If the AI does not know the answer to a question, it truthfully says it does not know.\n\n' | |
| 'Current conversation:\n' | |
| '{history}\n' | |
| 'Human: {input}\n' | |
| 'AI:', | |
| "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。 </指令>\n' | |
| '<已知信息>{{ context }}</已知信息>\n' | |
| '<问题>{{ question }}</问题>\n', | |
| "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。 </指令>\n' | |
| '<已知信息>{{ context }}</已知信息>\n' | |
| '<问题>{{ question }}</问题>\n', | |
| "empty": # 搜不到知识库的时候使用 | |
| '请你回答我的问题:\n' | |
| '{{ question }}\n\n', | |
| }, | |
| "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”。 </指令>\n' | |
| '<已知信息>{{ context }}</已知信息>\n' | |
| '<问题>{{ question }}</问题>\n', | |
| "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。 </指令>\n' | |
| '<已知信息>{{ context }}</已知信息>\n' | |
| '<问题>{{ question }}</问题>\n', | |
| }, | |
| "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:\n\n' | |
| '{tools}\n\n' | |
| 'Use the following format:\n' | |
| 'Question: the input question you must answer1\n' | |
| 'Thought: you should always think about what to do and what tools to use.\n' | |
| 'Action: the action to take, should be one of [{tool_names}]\n' | |
| 'Action Input: the input to the action\n' | |
| 'Observation: the result of the action\n' | |
| '... (this Thought/Action/Action Input/Observation can be repeated zero or more times)\n' | |
| 'Thought: I now know the final answer\n' | |
| 'Final Answer: the final answer to the original input question\n' | |
| 'Begin!\n\n' | |
| 'history: {history}\n\n' | |
| 'Question: {input}\n\n' | |
| 'Thought: {agent_scratchpad}\n', | |
| "ChatGLM3": | |
| 'You can answer using the tools, or answer directly using your knowledge without using the tools. ' | |
| 'Respond to the human as helpfully and accurately as possible.\n' | |
| 'You have access to the following tools:\n' | |
| '{tools}\n' | |
| 'Use a json blob to specify a tool by providing an action key (tool name) ' | |
| 'and an action_input key (tool input).\n' | |
| 'Valid "action" values: "Final Answer" or [{tool_names}]' | |
| 'Provide only ONE action per $JSON_BLOB, as shown:\n\n' | |
| '```\n' | |
| '{{{{\n' | |
| ' "action": $TOOL_NAME,\n' | |
| ' "action_input": $INPUT\n' | |
| '}}}}\n' | |
| '```\n\n' | |
| 'Follow this format:\n\n' | |
| 'Question: input question to answer\n' | |
| 'Thought: consider previous and subsequent steps\n' | |
| 'Action:\n' | |
| '```\n' | |
| '$JSON_BLOB\n' | |
| '```\n' | |
| 'Observation: action result\n' | |
| '... (repeat Thought/Action/Observation N times)\n' | |
| 'Thought: I know what to respond\n' | |
| 'Action:\n' | |
| '```\n' | |
| '{{{{\n' | |
| ' "action": "Final Answer",\n' | |
| ' "action_input": "Final response to human"\n' | |
| '}}}}\n' | |
| 'Begin! Reminder to ALWAYS respond with a valid json blob of a single action. Use tools if necessary. ' | |
| 'Respond directly if appropriate. Format is Action:```$JSON_BLOB```then Observation:.\n' | |
| 'history: {history}\n\n' | |
| 'Question: {input}\n\n' | |
| 'Thought: {agent_scratchpad}', | |
| } | |
| } | |