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Artemis-Eapil/artemis/tools/history/replay.py
T
somew1nd 5d92939d91 refactor: unify agent history and harden runtime diagnostics
Preserve user guidance through history compression, stabilize Flash index targets, and retire withdrawn checks without applying stale verdicts.

Improve runtime diagnostics, tool responses, and history rendering. Simplify documentation and comments.

Validation: 2076 tests passed in the full suite; 381 affected tests and 26 frontend tests passed after cleanup. Ruff and the quality ratchet passed.
2026-09-09 21:35:40 -07:00

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# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""replay_steps: full replay of a step range, exactly as the executing agent saw it.
Each step is rendered with :func:`~artemis.utils.task_tree.render_step_replay`
(``T+mm:ss`` step header, ``[Screen]`` description, reasoning, every
non-internal tool call with name / arguments / result, the executed action,
safety-net interception and the execution result). Two loose bounds keep one tool result finite (config
``agent.memory.replay``): at most ``max_steps`` steps per call, and a
``max_tokens`` budget applied by dropping *whole trailing steps* — a replayed
step is never cut mid-sentence. Screenshots are deliberately not part of the
replay; ``get_step_screenshot`` fetches them one at a time.
"""
from __future__ import annotations
from typing import Any
from artemis.core.tool_failure import ToolFailure
from artemis.utils.task_tree import render_step_replay
DEFAULT_MAX_STEPS = 5
DEFAULT_MAX_TOKENS = 12000
def _estimate_tokens(text: str) -> int:
return len(text) // 4
def replay_steps_text(
reader: Any,
start_step: Any,
end_step: Any = None,
*,
max_steps: int = DEFAULT_MAX_STEPS,
max_tokens: int = DEFAULT_MAX_TOKENS,
) -> str:
"""Replays steps ``start_step``..``end_step`` (inclusive, 1-based) from ``reader``."""
if reader is None:
return ToolFailure("Error: no execution history available.")
try:
start = int(start_step)
end = start if end_step is None else int(end_step)
except (TypeError, ValueError):
return ToolFailure(
f"Error: start_step and end_step must be integers, got {start_step!r} and {end_step!r}."
)
if start > end:
start, end = end, start
max_steps = max(1, int(max_steps or DEFAULT_MAX_STEPS))
notes: list[str] = []
if end - start + 1 > max_steps:
end = start + max_steps - 1
notes.append(
f"(Only {max_steps} steps are replayed per call: showing Steps {start}–{end}."
f" Call again from Step {end + 1} for the rest.)"
)
try:
steps: list[dict] = reader.get_agent_friendly_steps_in_range(start, end) or []
except Exception as e:
return ToolFailure(f"Error loading steps {start}–{end}: {e}")
if not steps:
if start == end:
return ToolFailure(f"Error: step {start} not found.")
return ToolFailure(f"Error: no recorded steps in range {start}–{end}.")
budget_tokens = max(1, int(max_tokens or DEFAULT_MAX_TOKENS))
# Step headers carry the session clock (``T+mm:ss``) every agent prompt
# and search_history use; without a session start they fall back to the
# stored relative time.
session_start = getattr(reader, "session_start_time", None)
rendered: list[str] = []
shown: list[dict] = []
used = 0
dropped = 0
for step in steps:
if dropped:
dropped += 1
continue
try:
text = render_step_replay(step, session_start=session_start)
except Exception as e:
return ToolFailure(f"Error rendering steps {start}–{end}: {e}")
cost = _estimate_tokens(text) + 1
# The first step is always replayed; afterwards the budget drops whole
# trailing steps rather than truncating a step in the middle.
if rendered and used + cost > budget_tokens:
dropped = 1
continue
rendered.append(text)
shown.append(step)
used += cost
if dropped:
last_shown = shown[-1].get("step_number", start)
first_shown = shown[0].get("step_number", start)
notes.append(
f"(Token budget reached: Steps {first_shown}–{last_shown} replayed;"
f" {dropped} more step(s) in the range not shown."
f" Call again from Step {last_shown + 1}.)"
)
text = "\n\n".join(rendered)
if notes:
text += "\n\n" + "\n".join(notes)
return text