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Diffstat (limited to 'autogpt/core/planning/base.py')
| -rw-r--r-- | autogpt/core/planning/base.py | 76 |
1 files changed, 0 insertions, 76 deletions
diff --git a/autogpt/core/planning/base.py b/autogpt/core/planning/base.py deleted file mode 100644 index cfda45a30..000000000 --- a/autogpt/core/planning/base.py +++ /dev/null @@ -1,76 +0,0 @@ -import abc - -from autogpt.core.configuration import SystemConfiguration -from autogpt.core.planning.schema import ( - LanguageModelClassification, - LanguageModelPrompt, -) - -# class Planner(abc.ABC): -# """Manages the agent's planning and goal-setting by constructing language model prompts.""" -# -# @staticmethod -# @abc.abstractmethod -# async def decide_name_and_goals( -# user_objective: str, -# ) -> LanguageModelResponse: -# """Decide the name and goals of an Agent from a user-defined objective. -# -# Args: -# user_objective: The user-defined objective for the agent. -# -# Returns: -# The agent name and goals as a response from the language model. -# -# """ -# ... -# -# @abc.abstractmethod -# async def plan(self, context: PlanningContext) -> LanguageModelResponse: -# """Plan the next ability for the Agent. -# -# Args: -# context: A context object containing information about the agent's -# progress, result, memories, and feedback. -# -# -# Returns: -# The next ability the agent should take along with thoughts and reasoning. -# -# """ -# ... -# -# @abc.abstractmethod -# def reflect( -# self, -# context: ReflectionContext, -# ) -> LanguageModelResponse: -# """Reflect on a planned ability and provide self-criticism. -# -# -# Args: -# context: A context object containing information about the agent's -# reasoning, plan, thoughts, and criticism. -# -# Returns: -# Self-criticism about the agent's plan. -# -# """ -# ... - - -class PromptStrategy(abc.ABC): - default_configuration: SystemConfiguration - - @property - @abc.abstractmethod - def model_classification(self) -> LanguageModelClassification: - ... - - @abc.abstractmethod - def build_prompt(self, *_, **kwargs) -> LanguageModelPrompt: - ... - - @abc.abstractmethod - def parse_response_content(self, response_content: dict) -> dict: - ... |