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