feat: improve task execution, verification and packaging
Add execution incidents, action bursts and shared Flash history. Expose verification and Explorer settings with streamed check results. Support graceful cancellation, recording recovery and bundled UI resources. Add CI quality checks and clean up comments and documentation.
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# Copyright 2026 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Execution failures passed from the Validator to the Operator.
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Incidents are stored in ``state.open_incident`` and the step's
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``last_execution_result``. Consecutive failures increment the count; a
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successful terminal action closes the incident. Prompt rendering lives in
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``artemis.agents.operator.prompts.ExecutionIncidentPromptComponent``.
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"""
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from dataclasses import asdict, dataclass, field
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import time
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from typing import Any
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from artemis.agents.validator.categories import ValidationErrorCategory
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#: The safety net refused to execute the action (target missing/shifted/covered).
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KIND_SAFETY_NET = "safety_net"
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#: The action was dispatched but the device/executor reported a failure.
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KIND_EXEC_ERROR = "exec_error"
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#: Keys of an action item that are bulky or internal and never useful to the
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#: Operator when the incident is rendered or persisted.
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_ACTION_ITEM_DROP_KEYS = frozenset(
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{
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"attempts",
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"safety_net_evidence",
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"thought",
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}
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)
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@dataclass
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class ExecutionIncident:
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"""One blocked turn-ending action, as reported to the Operator."""
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kind: str
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category: str
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reason: str
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action: dict[str, Any]
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action_description: str
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action_index: int = 0
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burst_size: int = 1
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step_number: int | None = None
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consecutive_failures: int = 1
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evidence: dict[str, Any] = field(default_factory=dict)
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opened_at: float = field(default_factory=time.time)
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@property
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def is_burst(self) -> bool:
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return self.burst_size > 1
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def to_dict(self) -> dict[str, Any]:
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return asdict(self)
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@classmethod
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def from_dict(cls, data: dict[str, Any] | None) -> "ExecutionIncident | None":
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if not isinstance(data, dict) or not data.get("kind"):
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return None
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known = {f for f in cls.__dataclass_fields__}
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# Older step ledgers may lack these fields.
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kwargs: dict[str, Any] = {
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"category": str(ValidationErrorCategory.GENERAL),
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"reason": "",
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"action": {},
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"action_description": "",
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}
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kwargs.update({k: v for k, v in data.items() if k in known})
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return cls(**kwargs)
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def sanitize_action_item(action_item: dict[str, Any]) -> dict[str, Any]:
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"""A copy of the action item without bulky/internal keys."""
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return {k: v for k, v in (action_item or {}).items() if k not in _ACTION_ITEM_DROP_KEYS}
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def open_incident(
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*,
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previous: dict[str, Any] | None,
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kind: str,
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category: ValidationErrorCategory | str,
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reason: str,
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action_item: dict[str, Any],
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action_description: str,
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action_index: int = 0,
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burst_size: int = 1,
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step_number: int | None = None,
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evidence: dict[str, Any] | None = None,
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) -> dict[str, Any]:
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"""Builds the incident dict for a failed action.
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Continue the failure count from ``previous`` if an incident is still open.
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"""
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prior = ExecutionIncident.from_dict(previous)
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consecutive = (prior.consecutive_failures + 1) if prior else 1
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incident = ExecutionIncident(
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kind=kind,
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category=str(category.value if isinstance(category, ValidationErrorCategory) else category),
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reason=(reason or "").strip(),
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action=sanitize_action_item(action_item),
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action_description=action_description,
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action_index=action_index,
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burst_size=burst_size,
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step_number=step_number,
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consecutive_failures=consecutive,
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evidence=dict(evidence or {}),
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)
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return incident.to_dict()
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