Kye
2 years ago
parent
9c8fa8a60c
commit
fc9c2d2ea1
@ -1,78 +0,0 @@
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import json
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from typing import List
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class PromptGenerator:
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"""A class for generating custom prompt strings."""
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def __init__(self) -> None:
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"""Initialize the PromptGenerator object."""
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self.constraints: List[str] = []
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self.commands: List[str] = []
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self.resources: List[str] = []
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self.performance_evaluation: List[str] = []
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self.response_format = {
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"thoughts": {
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"text": "thought",
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"reasoning": "reasoning",
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"plan": "- short bulleted\n- list that conveys\n- long-term plan",
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"criticism": "constructive self-criticism",
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"speak": "thoughts summary to say to user",
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},
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"command": {"name": "command name", "args": {"arg name": "value"}},
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}
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def add_constraint(self, constraint: str) -> None:
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"""
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Add a constraint to the constraints list.
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Args:
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constraint (str): The constraint to be added.
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"""
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self.constraints.append(constraint)
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def add_command(self, command: str) -> None:
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"""
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Add a command to the commands list.
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Args:
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command (str): The command to be added.
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"""
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self.commands.append(command)
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def add_resource(self, resource: str) -> None:
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"""
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Add a resource to the resources list.
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Args:
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resource (str): The resource to be added.
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"""
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self.resources.append(resource)
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def add_performance_evaluation(self, evaluation: str) -> None:
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"""
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Add a performance evaluation item to the performance_evaluation list.
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Args:
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evaluation (str): The evaluation item to be added.
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"""
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self.performance_evaluation.append(evaluation)
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def generate_prompt_string(self) -> str:
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"""Generate a prompt string.
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Returns:
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str: The generated prompt string.
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"""
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formatted_response_format = json.dumps(self.response_format, indent=4)
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prompt_string = (
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f"Constraints:\n{''.join(self.constraints)}\n\n"
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f"Commands:\n{''.join(self.commands)}\n\n"
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f"Resources:\n{''.join(self.resources)}\n\n"
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f"Performance Evaluation:\n{''.join(self.performance_evaluation)}\n\n"
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f"You should only respond in JSON format as described below "
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f"\nResponse Format: \n{formatted_response_format} "
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f"\nEnsure the response can be parsed by Python json.loads"
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)
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return prompt_string
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