166 lines
6.5 KiB
Python
166 lines
6.5 KiB
Python
# 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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"""Universal Context Compressor for Artemis Flash profile.
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Replaces historical screenshots with high-density visual step summaries only
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after they are ready. Screenshots remain in context while summarization or
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retry is still in flight.
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"""
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from typing import Any
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from langchain_core.messages import BaseMessage
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from artemis.agents.flash.summarizer import VisualStepSummarizer
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from artemis.utils.logger import get_logger
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logger = get_logger(__name__)
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_HISTORY_SUMMARY_PREFIX = "--- Historical Visual Transition ---\n"
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_UI_LIST_MARKER = "--- UI Element List ---"
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def _without_historical_ui_list(text: str) -> str:
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"""Remove a historical UI list without discarding text before its marker."""
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marker_index = text.find(_UI_LIST_MARKER)
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if marker_index < 0:
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return text
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return text[:marker_index].rstrip()
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def compress_flash_messages(
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messages: list[BaseMessage],
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summarizer: VisualStepSummarizer | None = None,
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prune_history_xml: bool = True,
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) -> None:
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"""Compresses multi-turn conversation messages in-place.
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Rules:
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1. Keeps the latest screenshot and live UI hierarchy completely intact.
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2. For earlier steps, if a VisualStepSummarizer has completed the step's summary,
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replaces the intermediate image block with the objective summary text.
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3. If the background summary is not ready yet, retains the original image until
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a successful summary can replace it.
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4. If prune_history_xml is True, removes heavy outdated UI Element lists from past turns.
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"""
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if not messages:
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return
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# 1. Identify the last message containing an active screenshot
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last_img_msg_idx = -1
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for idx in range(len(messages) - 1, -1, -1):
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msg = messages[idx]
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msg_content = getattr(msg, "content", None)
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if isinstance(msg_content, list):
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has_image = any(
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isinstance(block, dict) and block.get("type") in ("image_url", "image")
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for block in msg_content
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)
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if has_image:
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last_img_msg_idx = idx
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break
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# 2. Iterate through historical messages and apply compression/fallback.
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# ``tool_call_id`` is the stable identity of an action result. The legacy
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# ordinal is retained only for summaries produced by older callers/tests.
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tool_step_counter = 0
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for idx in range(len(messages)):
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msg = messages[idx]
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msg_content = getattr(msg, "content", None)
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if not isinstance(msg_content, list):
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continue
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# Keep the latest live screen intact
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if idx == last_img_msg_idx:
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continue
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# Count tool steps strictly corresponding to FlashRunner action turns
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tool_call_id = getattr(msg, "tool_call_id", None)
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is_tool_msg = tool_call_id is not None
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if is_tool_msg:
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tool_step_counter += 1
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legacy_step_num = tool_step_counter
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else:
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legacy_step_num = None
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summary_text = None
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summary_pending = False
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if summarizer and is_tool_msg:
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# New FlashRunner instances key summaries by tool_call_id, so generic
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# tools, no-tool turns, and parallel tool calls cannot shift memories.
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action_key = str(tool_call_id)
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summary_text = summarizer.get_summary(action_key)
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summary_pending = summarizer.is_pending(action_key)
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if (
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summary_text is None
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and not summarizer.has_job(action_key)
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and legacy_step_num is not None
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):
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summary_text = summarizer.get_summary(legacy_step_num)
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summary_pending = summarizer.is_pending(legacy_step_num)
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new_blocks: list[Any] = []
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for b in msg_content:
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if not isinstance(b, dict):
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# LangChain permits string parts in multimodal content lists.
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# They are lightweight historical evidence and must not vanish.
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new_blocks.append(b)
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continue
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b_type = b.get("type", "")
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b_text = b.get("text", "")
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if b_type == "text" and b_text.startswith(_HISTORY_SUMMARY_PREFIX):
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# Rebuild this generated block on every pass. This makes the
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# compressor idempotent and lets a late summary replace itself.
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continue
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# Filter heavy outdated XML hierarchy from past steps to save tokens.
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# Some adapters combine action text and the hierarchy in one block;
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# retain the useful prefix instead of dropping the entire block.
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if prune_history_xml and b_type == "text" and _UI_LIST_MARKER in b_text:
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retained_text = _without_historical_ui_list(b_text)
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if retained_text:
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retained_block = dict(b)
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retained_block["text"] = retained_text
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new_blocks.append(retained_block)
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continue
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if b_type in ("image_url", "image"):
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# A submitted image remains visible until its summary is ready.
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# This temporarily favors context size over losing visual evidence.
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if summary_pending:
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new_blocks.append(b)
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continue
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new_blocks.append(b)
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# Do not tie injection to the presence of an image: the image is normally
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# pruned before the background summary finishes. A stable tool-call key lets
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# a later compression pass backfill the summary into the correct result.
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if summary_text:
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new_blocks.append(
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{
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"type": "text",
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"text": f"{_HISTORY_SUMMARY_PREFIX}{summary_text}",
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}
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)
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# Defensive fallback: never leave ToolMessage or HumanMessage content empty
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if not new_blocks:
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new_blocks = [{"type": "text", "text": "Action completed." if is_tool_msg else ""}]
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msg.content = new_blocks
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