138 lines
4.3 KiB
Plaintext
138 lines
4.3 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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PROMPT_TEMPLATES["llm_chat"] = {
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"default": "{{ input }}",
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"with_history":
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"""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.
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Current conversation:
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{history}
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Human: {input}
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AI:""",
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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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PROMPT_TEMPLATES["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": # 搜不到知识库的时候使用
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"""
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请你回答我的问题:
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{{ question }}
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\n
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""",
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}
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PROMPT_TEMPLATES["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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}
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PROMPT_TEMPLATES["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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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: {history}
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Question: {input}
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Thought: {agent_scratchpad}
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""",
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"ChatGLM3":
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"""
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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.
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You have access to the following tools:
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{tools}
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Use a json blob to specify a tool by providing an action key (tool name) and an action_input key (tool input).
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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:
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```
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{{{{
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"action": $TOOL_NAME,
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"action_input": $INPUT
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}}}}
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```
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Follow this format:
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Question: input question to answer
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Thought: consider previous and subsequent steps
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Action:
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```
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$JSON_BLOB
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```
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Observation: action result
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... (repeat Thought/Action/Observation N times)
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Thought: I know what to respond
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Action:
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```
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{{{{
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"action": "Final Answer",
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"action_input": "Final response to human"
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}}}}
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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:.
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history: {history}
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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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