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Diffstat (limited to 'autogpt/prompts/generator.py')
| -rw-r--r-- | autogpt/prompts/generator.py | 180 |
1 files changed, 0 insertions, 180 deletions
diff --git a/autogpt/prompts/generator.py b/autogpt/prompts/generator.py deleted file mode 100644 index bc836f30c..000000000 --- a/autogpt/prompts/generator.py +++ /dev/null @@ -1,180 +0,0 @@ -""" A module for generating custom prompt strings.""" -from __future__ import annotations - -import json -from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, TypedDict - -from autogpt.config import Config -from autogpt.json_utils.utilities import llm_response_schema - -if TYPE_CHECKING: - from autogpt.models.command_registry import CommandRegistry - - -class PromptGenerator: - """ - A class for generating custom prompt strings based on constraints, commands, - resources, and performance evaluations. - """ - - class Command(TypedDict): - label: str - name: str - params: dict[str, str] - function: Optional[Callable] - - constraints: list[str] - commands: list[Command] - resources: list[str] - performance_evaluation: list[str] - command_registry: CommandRegistry | None - - # TODO: replace with AIConfig - name: str - role: str - goals: list[str] - - def __init__(self): - self.constraints = [] - self.commands = [] - self.resources = [] - self.performance_evaluation = [] - self.command_registry = None - - self.name = "Bob" - self.role = "AI" - self.goals = [] - - def add_constraint(self, constraint: str) -> None: - """ - Add a constraint to the constraints list. - - Args: - constraint (str): The constraint to be added. - """ - self.constraints.append(constraint) - - def add_command( - self, - command_label: str, - command_name: str, - params: dict[str, str] = {}, - function: Optional[Callable] = None, - ) -> None: - """ - Add a command to the commands list with a label, name, and optional arguments. - - *Should only be used by plugins.* Native commands should be added - directly to the CommandRegistry. - - Args: - command_label (str): The label of the command. - command_name (str): The name of the command. - params (dict, optional): A dictionary containing argument names and their - values. Defaults to None. - function (callable, optional): A callable function to be called when - the command is executed. Defaults to None. - """ - command_params = {name: type for name, type in params.items()} - - command: PromptGenerator.Command = { - "label": command_label, - "name": command_name, - "params": command_params, - "function": function, - } - - self.commands.append(command) - - def _generate_command_string(self, command: Dict[str, Any]) -> str: - """ - Generate a formatted string representation of a command. - - Args: - command (dict): A dictionary containing command information. - - Returns: - str: The formatted command string. - """ - params_string = ", ".join( - f'"{key}": "{value}"' for key, value in command["params"].items() - ) - return f'{command["label"]}: "{command["name"]}", params: {params_string}' - - def add_resource(self, resource: str) -> None: - """ - Add a resource to the resources list. - - Args: - resource (str): The resource to be added. - """ - self.resources.append(resource) - - def add_performance_evaluation(self, evaluation: str) -> None: - """ - Add a performance evaluation item to the performance_evaluation list. - - Args: - evaluation (str): The evaluation item to be added. - """ - self.performance_evaluation.append(evaluation) - - def _generate_numbered_list(self, items: List[Any], item_type="list") -> str: - """ - Generate a numbered list from given items based on the item_type. - - Args: - items (list): A list of items to be numbered. - item_type (str, optional): The type of items in the list. - Defaults to 'list'. - - Returns: - str: The formatted numbered list. - """ - if item_type == "command": - command_strings = [] - if self.command_registry: - command_strings += [ - str(item) - for item in self.command_registry.commands.values() - if item.enabled - ] - # terminate command is added manually - command_strings += [self._generate_command_string(item) for item in items] - return "\n".join(f"{i+1}. {item}" for i, item in enumerate(command_strings)) - else: - return "\n".join(f"{i+1}. {item}" for i, item in enumerate(items)) - - def generate_prompt_string(self, config: Config) -> str: - """ - Generate a prompt string based on the constraints, commands, resources, - and performance evaluations. - - Returns: - str: The generated prompt string. - """ - return ( - f"Constraints:\n{self._generate_numbered_list(self.constraints)}\n\n" - f"{generate_commands(self, config)}" - f"Resources:\n{self._generate_numbered_list(self.resources)}\n\n" - "Performance Evaluation:\n" - f"{self._generate_numbered_list(self.performance_evaluation)}\n\n" - "Respond with only valid JSON conforming to the following schema: \n" - f"{json.dumps(llm_response_schema(config))}\n" - ) - - -def generate_commands(self, config: Config) -> str: - """ - Generate a prompt string based on the constraints, commands, resources, - and performance evaluations. - - Returns: - str: The generated prompt string. - """ - if config.openai_functions: - return "" - return ( - "Commands:\n" - f"{self._generate_numbered_list(self.commands, item_type='command')}\n\n" - ) |