test_ai/configs/prompt_config.py

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2024-01-12 10:26:57 +08:00
# 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}
""",
},
}