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* finish is working * start reworking main_goal * remove main_goal from microagents * remove main_goal from other agents * fix issues * revert codeact line * make plan a subclass of task * fix frontend for new plan setup * lint * fix type * more lint * fix build issues * fix codeact mgs * fix edge case in regen script * fix task validation errors * regenerate integration tests * fix up tests * fix sweagent * revert codeact prompt * update integration tests * update integration tests * handle loading state * Update agenthub/codeact_agent/codeact_agent.py Co-authored-by: Engel Nyst <enyst@users.noreply.github.com> * Update opendevin/controller/agent_controller.py Co-authored-by: Engel Nyst <enyst@users.noreply.github.com> * Update agenthub/codeact_agent/codeact_agent.py Co-authored-by: Engel Nyst <enyst@users.noreply.github.com> * Update opendevin/controller/state/plan.py Co-authored-by: Engel Nyst <enyst@users.noreply.github.com> * update docs * regenerate tests * remove none from state type * revert test files * update integration tests * rename plan to root_task * revert plugin perms * regen integration tests * tweak integration script * prettier * fix test * set workspace up for regeneration * regenerate tests * Change directory of copy * Updated tests * Disable PlannerAgent test * Fix listen * Updated prompts * Disable planner again * Make codecov more lenient * Update agenthub/README.md * Update opendevin/server/README.md * re-enable planner tests * finish top level tasks * regen planner * fix root task factory --------- Co-authored-by: Engel Nyst <enyst@users.noreply.github.com> Co-authored-by: Xingyao Wang <xingyao6@illinois.edu> Co-authored-by: Graham Neubig <neubig@gmail.com> Co-authored-by: Boxuan Li <liboxuan@connect.hku.hk>
70 lines
2.1 KiB
Python
70 lines
2.1 KiB
Python
class MaxCharsExceedError(Exception):
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def __init__(self, num_of_chars=None, max_chars_limit=None):
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if num_of_chars is not None and max_chars_limit is not None:
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message = f'Number of characters {num_of_chars} exceeds MAX_CHARS limit: {max_chars_limit}'
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else:
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message = 'Number of characters exceeds MAX_CHARS limit'
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super().__init__(message)
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class AgentNoInstructionError(Exception):
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def __init__(self, message='Instruction must be provided'):
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super().__init__(message)
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class AgentEventTypeError(Exception):
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def __init__(self, message='Event must be a dictionary'):
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super().__init__(message)
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class AgentAlreadyRegisteredError(Exception):
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def __init__(self, name=None):
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if name is not None:
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message = f"Agent class already registered under '{name}'"
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else:
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message = 'Agent class already registered'
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super().__init__(message)
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class AgentNotRegisteredError(Exception):
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def __init__(self, name=None):
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if name is not None:
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message = f"No agent class registered under '{name}'"
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else:
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message = 'No agent class registered'
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super().__init__(message)
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class LLMOutputError(Exception):
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def __init__(self, message):
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super().__init__(message)
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class SandboxInvalidBackgroundCommandError(Exception):
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def __init__(self, id=None):
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if id is not None:
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message = f'Invalid background command id {id}'
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else:
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message = 'Invalid background command id'
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super().__init__(message)
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class TaskInvalidStateError(Exception):
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def __init__(self, state=None):
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if state is not None:
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message = f'Invalid state {state}'
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else:
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message = 'Invalid state'
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super().__init__(message)
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# These exceptions get sent back to the LLM
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class AgentMalformedActionError(Exception):
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def __init__(self, message='Malformed response'):
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super().__init__(message)
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class AgentNoActionError(Exception):
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def __init__(self, message='Agent must return an action'):
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super().__init__(message)
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