state.py 1.3 KB

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  1. from dataclasses import dataclass, field
  2. from opendevin.controller.state.task import RootTask
  3. from opendevin.events.action import (
  4. Action,
  5. MessageAction,
  6. )
  7. from opendevin.events.observation import (
  8. CmdOutputObservation,
  9. Observation,
  10. )
  11. @dataclass
  12. class State:
  13. root_task: RootTask = field(default_factory=RootTask)
  14. iteration: int = 0
  15. max_iterations: int = 100
  16. # number of characters we have sent to and received from LLM so far for current task
  17. num_of_chars: int = 0
  18. background_commands_obs: list[CmdOutputObservation] = field(default_factory=list)
  19. history: list[tuple[Action, Observation]] = field(default_factory=list)
  20. updated_info: list[tuple[Action, Observation]] = field(default_factory=list)
  21. inputs: dict = field(default_factory=dict)
  22. outputs: dict = field(default_factory=dict)
  23. def get_current_user_intent(self):
  24. # TODO: this is used to understand the user's main goal, but it's possible
  25. # the latest message is an interruption. We should look for a space where
  26. # the agent goes to FINISHED, and then look for the next user message.
  27. for action, obs in reversed(self.history):
  28. if isinstance(action, MessageAction) and action.source == 'user':
  29. return action.content