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* 修复Azure 不设置Max token的bug * 重写agent 1. 修改Agent实现方式,支持多参数,仅剩 ChatGLM3-6b和 OpenAI GPT4 支持,剩余模型将在暂时缺席Agent功能 2. 删除agent_chat 集成到llm_chat中 3. 重写大部分工具,适应新Agent * 更新架构 * 删除web_chat,自动融合 * 移除所有聊天,都变成Agent控制 * 更新配置文件 * 更新配置模板和提示词 * 更改参数选择bug
94 lines
4.3 KiB
Plaintext
94 lines
4.3 KiB
Plaintext
PROMPT_TEMPLATES = {
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"preprocess_model": {
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"default":
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'请你根据我的描述和我们对话的历史,来判断本次跟我交流是否需要使用工具,还是可以直接凭借你的知识或者历史记录跟我对话。你只要回答一个数字。1 或者 0,1代表需要使用工具,0代表不需要使用工具。\n'
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'以下几种情况要使用工具,请返回1\n'
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'1. 实时性的问题,例如天气,日期,地点等信息\n'
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'2. 需要数学计算的问题\n'
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'3. 需要查询数据,地点等精确数据\n'
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'4. 需要行业知识的问题\n'
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'<question>'
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'{input}'
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'</question>'
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},
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"llm_model": {
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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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},
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"action_model": {
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"GPT-4":
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'Answer the following questions as best you can. You have access to the following tools:\n'
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'The way you use the tools is by specifying a json blob.\n'
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'Specifically, this json should have a `action` key (with the name of the tool to use) and a `action_input` key (with the input to the tool going here).\n'
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'The only values that should be in the "action" field are: {tool_names}\n'
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'The $JSON_BLOB should only contain a SINGLE action, do NOT return a list of multiple actions. Here is an example of a valid $JSON_BLOB:\n'
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'```\n\n'
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'{{{{\n'
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' "action": $TOOL_NAME,\n'
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' "action_input": $INPUT\n'
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'}}}}\n'
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'```\n\n'
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'ALWAYS use the following format:\n'
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'Question: the input question you must answer\n'
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'Thought: you should always think about what to do\n'
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'Action:\n'
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'```\n\n'
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'$JSON_BLOB'
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'```\n\n'
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'Observation: the result of the action\n'
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'... (this Thought/Action/Observation can repeat N 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! Reminder to always use the exact characters `Final Answer` when responding.\n'
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'history: {history}\n'
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'Question:{input}\n'
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'Thought:{agent_scratchpad}\n',
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"ChatGLM3":
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'You can answer using the tools.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)\n'
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'and an action_input key (tool input).\n'
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'Valid "action" values: "Final Answer" or [{tool_names}]\n'
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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.\n'
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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}\n',
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},
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"postprocess_model": {
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"default": "{{input}}",
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}
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}
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