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refactor: remove memory extraction functions and related components from the new chat agent

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This commit is contained in:
Anish Sarkar 2026-05-20 14:03:28 +05:30
parent a0ff86e0e8
commit 132e7b3c44
12 changed files with 2 additions and 375 deletions
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35
surfsense_backend/app/tasks/chat/stream_new_chat.py
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@ -39,10 +39,6 @@ from app.agents.new_chat.llm_config import (
load_agent_config,
load_global_llm_config_by_id,
)
from app.agents.new_chat.memory_extraction import (
extract_and_save_memory,
extract_and_save_team_memory,
)
from app.agents.new_chat.mention_resolver import resolve_mentions, substitute_in_text
from app.agents.new_chat.middleware.busy_mutex import (
end_turn,
@ -283,7 +279,6 @@ class StreamResult:
accumulated_text: str = ""
is_interrupted: bool = False
sandbox_files: list[str] = field(default_factory=list)
agent_called_update_memory: bool = False
request_id: str | None = None
turn_id: str = ""
filesystem_mode: str = "cloud"
@ -2208,36 +2203,6 @@ async def stream_new_chat(
},
)
# Fire background memory extraction if the agent didn't handle it.
# Shared threads write to team memory; private threads write to user memory.
if not stream_result.agent_called_update_memory:
memory_seed = user_query.strip() or (
f"[{len(user_image_data_urls or [])} image(s)]"
if user_image_data_urls
else "(message)"
)
if visibility == ChatVisibility.SEARCH_SPACE:
task = asyncio.create_task(
extract_and_save_team_memory(
user_message=memory_seed,
search_space_id=search_space_id,
llm=llm,
author_display_name=current_user_display_name,
)
)
_background_tasks.add(task)
task.add_done_callback(_background_tasks.discard)
elif user_id:
task = asyncio.create_task(
extract_and_save_memory(
user_message=memory_seed,
user_id=user_id,
llm=llm,
)
)
_background_tasks.add(task)
task.add_done_callback(_background_tasks.discard)
# Finish the step and message
yield streaming_service.format_data("turn-status", {"status": "idle"})
yield streaming_service.format_finish_step()