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refactor(agents): move mac-only modules out of the cross-agent shared kernel
app/agents/shared/ is a sibling of anonymous_chat/podcaster/multi_agent_chat/
video_presentation, so it should only hold code shared across 2+ of those
agents. In practice podcaster and video_presentation import nothing from it,
and anonymous_chat needs only context + compaction + retry_after + web_search.
Everything else was multi_agent_chat-only (the boundary just passes through).
Move the multi_agent_chat-only cluster into multi_agent_chat/shared/ (files
moved verbatim via git rename; ~116 import sites rewritten):
errors, feature_flags, filesystem_selection, path_resolver, prompt_caching,
sandbox, llm_config, mention_resolver
middleware/busy_mutex, middleware/kb_persistence
busy_mutex/llm_config/mention_resolver are boundary-only but import the moved
modules, so they were folded in to avoid a backwards shared -> multi_agent_chat
dependency. main_agent builders now import the impls directly; the shared
middleware barrel keeps only the genuinely-shared compaction + retry_after.
Also delete the dead leftover shared/plugins and shared/skills dirs (live
copies already live under main_agent/).
Remaining in app/agents/shared/: context, system_prompt(+prompts), checkpointer,
middleware/{compaction,retry_after,dedup_tool_calls}, tools/. checkpointer and
system_prompt are boundary-only infra pending a dedicated home decision.
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126 changed files with 238 additions and 196 deletions
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@ -11,8 +11,11 @@ from langgraph.types import Command
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.agents.multi_agent_chat import create_multi_agent_chat_deep_agent
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from app.agents.multi_agent_chat.shared.mention_resolver import (
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resolve_mentions,
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substitute_in_text,
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)
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from app.agents.shared.context import SurfSenseContextSchema
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from app.agents.shared.mention_resolver import resolve_mentions, substitute_in_text
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from app.db import ChatVisibility, async_session_maker
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from app.schemas.new_chat import MentionedDocumentInfo
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@ -39,7 +39,9 @@ def _is_premium_global(kind: ModelKind, config_id: int) -> bool:
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cfg: dict | None = None
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if kind == "llm":
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from app.agents.shared.llm_config import load_global_llm_config_by_id
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from app.agents.multi_agent_chat.shared.llm_config import (
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load_global_llm_config_by_id,
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)
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cfg = load_global_llm_config_by_id(config_id)
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elif kind == "image":
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