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* initialize plugin definition * initialize plugin definition * simplify mixin * further improve plugin mixin * add cache dir for pip * support clean up cache * add script for setup jupyter and execution server * integrate JupyterRequirement to ssh_box * source bashrc at the end of plugin load * add execute_cli that accept code via stdin * make JUPYTER_EXEC_SERVER_PORT configurable via env var * increase background cmd sleep time * Update opendevin/sandbox/plugins/mixin.py Co-authored-by: Robert Brennan <accounts@rbren.io> * add mixin to base class * make jupyter requirement a dataclass * source plugins only when >0 requirements * add `sandbox_plugins` for each agent & have controller take care of it * update build.sh to make logs available in /opendevin/logs * switch to use config for lib and cache dir * fix permission issue with /workspace * use python to implement execute_cli to avoid stdin escape issue * wait until jupyter is avaialble * support plugin via copying instead of mounting --------- Co-authored-by: Robert Brennan <accounts@rbren.io>
114 lines
3.3 KiB
Python
114 lines
3.3 KiB
Python
from abc import ABC, abstractmethod
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from typing import List, Dict, Type, TYPE_CHECKING
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if TYPE_CHECKING:
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from opendevin.action import Action
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from opendevin.state import State
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from opendevin.llm.llm import LLM
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from opendevin.exceptions import AgentAlreadyRegisteredError, AgentNotRegisteredError
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from opendevin.sandbox.plugins import PluginRequirement
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class Agent(ABC):
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"""
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This abstract base class is an general interface for an agent dedicated to
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executing a specific instruction and allowing human interaction with the
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agent during execution.
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It tracks the execution status and maintains a history of interactions.
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"""
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_registry: Dict[str, Type['Agent']] = {}
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sandbox_plugins: List[PluginRequirement] = []
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def __init__(
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self,
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llm: LLM,
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):
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self.llm = llm
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self._complete = False
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@property
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def complete(self) -> bool:
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"""
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Indicates whether the current instruction execution is complete.
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Returns:
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- complete (bool): True if execution is complete; False otherwise.
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"""
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return self._complete
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@abstractmethod
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def step(self, state: 'State') -> 'Action':
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"""
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Starts the execution of the assigned instruction. This method should
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be implemented by subclasses to define the specific execution logic.
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"""
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pass
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@abstractmethod
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def search_memory(self, query: str) -> List[str]:
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"""
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Searches the agent's memory for information relevant to the given query.
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Parameters:
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- query (str): The query to search for in the agent's memory.
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Returns:
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- response (str): The response to the query.
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"""
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pass
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def reset(self) -> None:
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"""
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Resets the agent's execution status and clears the history. This method can be used
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to prepare the agent for restarting the instruction or cleaning up before destruction.
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"""
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self._complete = False
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@classmethod
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def register(cls, name: str, agent_cls: Type['Agent']):
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"""
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Registers an agent class in the registry.
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Parameters:
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- name (str): The name to register the class under.
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- agent_cls (Type['Agent']): The class to register.
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Raises:
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- AgentAlreadyRegisteredError: If name already registered
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"""
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if name in cls._registry:
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raise AgentAlreadyRegisteredError(name)
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cls._registry[name] = agent_cls
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@classmethod
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def get_cls(cls, name: str) -> Type['Agent']:
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"""
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Retrieves an agent class from the registry.
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Parameters:
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- name (str): The name of the class to retrieve
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Returns:
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- agent_cls (Type['Agent']): The class registered under the specified name.
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Raises:
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- AgentNotRegisteredError: If name not registered
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"""
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if name not in cls._registry:
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raise AgentNotRegisteredError(name)
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return cls._registry[name]
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@classmethod
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def list_agents(cls) -> list[str]:
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"""
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Retrieves the list of all agent names from the registry.
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Raises:
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- AgentNotRegisteredError: If no agent is registered
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"""
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if not bool(cls._registry):
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raise AgentNotRegisteredError()
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return list(cls._registry.keys())
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