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58 lines
1.7 KiB
Python
58 lines
1.7 KiB
Python
from onyx.prompts.constants import GENERAL_SEP_PAT
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DONT_USE_TOOL = "Don't use tool"
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USE_TOOL = "Use tool"
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"""Prompts to determine if we should use a custom tool or not."""
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SHOULD_USE_CUSTOM_TOOL_SYSTEM_PROMPT = (
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"You are a large language model whose only job is to determine if the system should call an "
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"external tool to be able to answer the user's last message."
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).strip()
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SHOULD_USE_CUSTOM_TOOL_USER_PROMPT = f"""
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Given the conversation history and a follow up query, determine if the system should use the \
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'{{tool_name}}' tool to answer the user's query. The '{{tool_name}}' tool is a tool defined as: '{{tool_description}}'.
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Respond with "{USE_TOOL}" if you think the tool would be helpful in respnding to the users query.
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Respond with "{DONT_USE_TOOL}" otherwise.
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Conversation History:
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{GENERAL_SEP_PAT}
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{{history}}
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{GENERAL_SEP_PAT}
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If you are at all unsure, respond with {DONT_USE_TOOL}.
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Respond with EXACTLY and ONLY "{DONT_USE_TOOL}" or "{USE_TOOL}"
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Follow up input:
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{{query}}
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""".strip()
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"""Prompts to figure out the arguments to pass to a custom tool."""
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TOOL_ARG_SYSTEM_PROMPT = (
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"You are a large language model whose only job is to determine the arguments to pass to an "
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"external tool."
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).strip()
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TOOL_ARG_USER_PROMPT = f"""
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Given the following conversation and a follow up input, generate a \
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dictionary of arguments to pass to the '{{tool_name}}' tool. \
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The '{{tool_name}}' tool is a tool defined as: '{{tool_description}}'. \
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The expected arguments are: {{tool_args}}.
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Conversation:
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{{history}}
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Follow up input:
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{{query}}
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Respond with ONLY and EXACTLY a JSON object specifying the values of the arguments to pass to the tool.
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""".strip() # noqa: F541
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