test_ai/configs/prompt_config.py

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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 = {
"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。 </指令>
<已知信息>{{ context }}</已知信息>、
<问题>{{ question }}</问题>
""",
"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>
<已知信息>{{ context }}</已知信息>、
<问题>{{ question }}</问题>
""",
"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</指令>
<问题>{{ question }}</问题>
""",
},
"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>
<已知信息>{{ context }}</已知信息>、
<问题>{{ question }}</问题>
""",
"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>
<已知信息>{{ context }}</已知信息>、
<问题>{{ question }}</问题>
""",
"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</指令>
<问题>{{ question }}</问题>
""",
},
"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":
"""
<SYS>>\n
You are a helpful, respectful and honest assistant.
</SYS>>\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ActionAction InputObservation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}
""",
},
}