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ada2e19829
* Introduce `BaseAgentActionProposal`, `OneShotAgentActionProposal`, and `AssistantThoughts` models to replace `ThoughtProcessResponse`, `DEFAULT_RESPONSE_SCHEMA`
* Refactor and clean up code because now we don't need to do as much type checking everywhere
* Tweak `OneShot` response format instruction
Granular:
* `autogpt.agents.prompt_strategies.one_shot`
* Replace ThoughtProcessResponse`, `DEFAULT_RESPONSE_SCHEMA` and parsing logic by `AssistantThoughts` and `OneShotAgentActionProposal`
* (TANGENTIAL) Move response format instruction into main system prompt message
* (TANGENTIAL) Adjust response format instruction
* `autogpt.agents.base`
* Add `BaseAgentActionProposal` base model -> replace `ThoughtProcessOutput`
* Change signature of `execute` method to accept `BaseAgentActionProposal` instead of separate `command_name` and `command_args`
* Add `do_not_execute(proposal, feedback)` abstract method, replacing `execute("human_feedback", ..., feedback)`
* Move `history` definition from `BaseAgentSettings` to `AgentSettings` (the only place where it's used anyway)
* `autogpt.models`
* Add `.utils` > `ModelWithSummary` base model
* Make the models in `.action_history` (`Episode`, `EpisodicActionHistory`) generic with a type parameter for the type of `Episode.action`
* `autogpt.core.resource.model_providers.schema`
* Add `__str__` to `AssistantFunctionCall` which pretty-prints the function call
All other changes are a direct result of the changes above.
## BREAKING CHANGE:
* Due to the change in `autogpt.models.action_history`, the application after this change will be unable to load/resume agents from before this change and vice versa.
* The `additional_output` field in the response of `execute_step` has changed slightly:
* Type of `.thoughts.plan` has changed from `str` to `list[str]`
* `.command` -> `.use_tool`
* `.command.args` -> `.use_tool.arguments`
11 lines
249 B
Python
11 lines
249 B
Python
from abc import ABC, abstractmethod
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from pydantic import BaseModel
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class ModelWithSummary(BaseModel, ABC):
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@abstractmethod
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def summary(self) -> str:
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"""Should produce a human readable summary of the model content."""
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pass
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