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https://github.com/MODSetter/SurfSense.git
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Remove unwired multi_agent_chat package.
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CREDO23
parent
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commit
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93 changed files with 0 additions and 3697 deletions
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"""SurfSense supervisor middleware (parity with the main single-agent chat, minus subagents)."""
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from app.agents.multi_agent_chat.middleware.supervisor_stack import (
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build_supervisor_middleware_stack,
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parse_thread_id_for_action_log,
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)
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__all__ = [
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"build_supervisor_middleware_stack",
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"parse_thread_id_for_action_log",
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]
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@ -1,363 +0,0 @@
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"""Supervisor middleware stack matching the main single-agent chat (no ``SubAgentMiddleware`` / ``task``)."""
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from __future__ import annotations
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import logging
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from collections.abc import Sequence
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from typing import Any
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from deepagents.backends import StateBackend
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from deepagents.middleware.patch_tool_calls import PatchToolCallsMiddleware
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from deepagents.middleware.skills import SkillsMiddleware
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from langchain.agents.middleware import (
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LLMToolSelectorMiddleware,
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ModelCallLimitMiddleware,
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ModelFallbackMiddleware,
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TodoListMiddleware,
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ToolCallLimitMiddleware,
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)
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from langchain_anthropic.middleware import AnthropicPromptCachingMiddleware
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from langchain_core.language_models import BaseChatModel
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from langchain_core.tools import BaseTool
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from app.agents.new_chat.feature_flags import AgentFeatureFlags, get_flags
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from app.agents.new_chat.filesystem_selection import FilesystemMode
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from app.agents.new_chat.middleware import (
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ActionLogMiddleware,
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AnonymousDocumentMiddleware,
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BusyMutexMiddleware,
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ClearToolUsesEdit,
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DedupHITLToolCallsMiddleware,
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DoomLoopMiddleware,
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FileIntentMiddleware,
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KnowledgeBasePersistenceMiddleware,
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KnowledgePriorityMiddleware,
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KnowledgeTreeMiddleware,
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MemoryInjectionMiddleware,
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NoopInjectionMiddleware,
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OtelSpanMiddleware,
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RetryAfterMiddleware,
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SpillingContextEditingMiddleware,
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SpillToBackendEdit,
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SurfSenseFilesystemMiddleware,
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ToolCallNameRepairMiddleware,
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build_skills_backend_factory,
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create_surfsense_compaction_middleware,
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default_skills_sources,
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)
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from app.agents.new_chat.plugin_loader import (
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PluginContext,
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load_allowed_plugin_names_from_env,
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load_plugin_middlewares,
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)
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from app.agents.new_chat.tools.registry import BUILTIN_TOOLS
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from app.db import ChatVisibility
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logger = logging.getLogger(__name__)
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# Routing tools with heavy outputs — never prune via context editing when bound.
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_SUPERVISOR_PRUNE_PROTECTED: frozenset[str] = frozenset(
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{
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"deliverables",
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"invalid",
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# Align with single-agent surfacing of costly connector reads if names overlap later.
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"read_email",
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"search_emails",
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"generate_report",
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"generate_resume",
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"generate_podcast",
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"generate_video_presentation",
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"generate_image",
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}
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)
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def _safe_exclude_tools_supervisor(tools: Sequence[BaseTool]) -> tuple[str, ...]:
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enabled = {t.name for t in tools}
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return tuple(n for n in _SUPERVISOR_PRUNE_PROTECTED if n in enabled)
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def parse_thread_id_for_action_log(thread_id: int | str | None) -> int | None:
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"""Numeric DB thread ids only — UUID strings skip action logging (no FK row)."""
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if thread_id is None:
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return None
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if isinstance(thread_id, int):
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return thread_id
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s = str(thread_id).strip()
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if s.isdigit():
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return int(s)
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return None
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def build_supervisor_middleware_stack(
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*,
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llm: BaseChatModel,
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tools: Sequence[BaseTool],
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backend_resolver: Any,
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filesystem_mode: FilesystemMode,
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search_space_id: int,
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user_id: str | None,
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thread_id: int | str | None,
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visibility: ChatVisibility,
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anon_session_id: str | None,
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available_connectors: list[str] | None,
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available_document_types: list[str] | None,
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mentioned_document_ids: list[int] | None,
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max_input_tokens: int | None,
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flags: AgentFeatureFlags | None = None,
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) -> list[Any]:
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"""Build middleware list for the multi-agent supervisor (parity with ``_build_compiled_agent_blocking`` minus subagents)."""
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flags = flags or get_flags()
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memory_middleware = MemoryInjectionMiddleware(
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user_id=user_id,
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search_space_id=search_space_id,
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thread_visibility=visibility,
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)
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summarization_mw = create_surfsense_compaction_middleware(llm, StateBackend)
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_ = flags.enable_compaction_v2
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context_edit_mw = None
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if (
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flags.enable_context_editing
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and not flags.disable_new_agent_stack
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and max_input_tokens
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):
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spill_edit = SpillToBackendEdit(
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trigger=int(max_input_tokens * 0.55),
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clear_at_least=int(max_input_tokens * 0.15),
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keep=5,
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exclude_tools=_safe_exclude_tools_supervisor(tools),
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clear_tool_inputs=True,
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)
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clear_edit = ClearToolUsesEdit(
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trigger=int(max_input_tokens * 0.55),
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clear_at_least=int(max_input_tokens * 0.15),
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keep=5,
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exclude_tools=_safe_exclude_tools_supervisor(tools),
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clear_tool_inputs=True,
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placeholder="[cleared - older tool output trimmed for context]",
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)
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context_edit_mw = SpillingContextEditingMiddleware(
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edits=[spill_edit, clear_edit],
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backend_resolver=backend_resolver,
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)
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retry_mw = (
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RetryAfterMiddleware(max_retries=3)
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if flags.enable_retry_after and not flags.disable_new_agent_stack
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else None
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)
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fallback_mw: ModelFallbackMiddleware | None = None
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if flags.enable_model_fallback and not flags.disable_new_agent_stack:
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try:
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fallback_mw = ModelFallbackMiddleware(
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"openai:gpt-4o-mini",
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"anthropic:claude-3-5-haiku-20241022",
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)
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except Exception:
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logger.warning("ModelFallbackMiddleware init failed; skipping.")
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fallback_mw = None
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model_call_limit_mw = (
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ModelCallLimitMiddleware(
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thread_limit=120,
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run_limit=80,
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exit_behavior="end",
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)
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if flags.enable_model_call_limit and not flags.disable_new_agent_stack
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else None
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)
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tool_call_limit_mw = (
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ToolCallLimitMiddleware(
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thread_limit=300, run_limit=80, exit_behavior="continue"
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)
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if flags.enable_tool_call_limit and not flags.disable_new_agent_stack
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else None
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)
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noop_mw = (
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NoopInjectionMiddleware()
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if flags.enable_compaction_v2 and not flags.disable_new_agent_stack
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else None
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)
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repair_mw = None
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if flags.enable_tool_call_repair and not flags.disable_new_agent_stack:
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registered_names: set[str] = {t.name for t in tools}
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registered_names |= {
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"write_todos",
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"ls",
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"read_file",
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"write_file",
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"edit_file",
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"glob",
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"grep",
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"execute",
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# No ``task`` — multi-agent uses routing tools instead of SubAgentMiddleware.
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}
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repair_mw = ToolCallNameRepairMiddleware(
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registered_tool_names=registered_names,
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fuzzy_match_threshold=None,
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)
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doom_loop_mw = (
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DoomLoopMiddleware(threshold=3)
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if flags.enable_doom_loop and not flags.disable_new_agent_stack
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else None
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)
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thread_id_action_log = parse_thread_id_for_action_log(thread_id)
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action_log_mw: ActionLogMiddleware | None = None
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if (
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flags.enable_action_log
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and not flags.disable_new_agent_stack
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and thread_id_action_log is not None
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):
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try:
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tool_defs_by_name = {td.name: td for td in BUILTIN_TOOLS}
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action_log_mw = ActionLogMiddleware(
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thread_id=thread_id_action_log,
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search_space_id=search_space_id,
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user_id=user_id,
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tool_definitions=tool_defs_by_name,
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)
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except Exception: # pragma: no cover - defensive
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logger.warning(
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"ActionLogMiddleware init failed; running without it.",
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exc_info=True,
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)
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action_log_mw = None
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busy_mutex_mw: BusyMutexMiddleware | None = (
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BusyMutexMiddleware()
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if flags.enable_busy_mutex and not flags.disable_new_agent_stack
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else None
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)
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otel_mw: OtelSpanMiddleware | None = (
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OtelSpanMiddleware()
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if flags.enable_otel and not flags.disable_new_agent_stack
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else None
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)
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plugin_middlewares: list[Any] = []
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if flags.enable_plugin_loader and not flags.disable_new_agent_stack:
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try:
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allowed_names = load_allowed_plugin_names_from_env()
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if allowed_names:
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plugin_middlewares = load_plugin_middlewares(
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PluginContext.build(
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search_space_id=search_space_id,
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user_id=user_id,
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thread_visibility=visibility,
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llm=llm,
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),
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allowed_plugin_names=allowed_names,
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)
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except Exception: # pragma: no cover - defensive
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logger.warning(
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"Plugin loader failed; continuing without plugins.",
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exc_info=True,
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)
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plugin_middlewares = []
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skills_mw: SkillsMiddleware | None = None
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if flags.enable_skills and not flags.disable_new_agent_stack:
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try:
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skills_factory = build_skills_backend_factory(
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search_space_id=search_space_id
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if filesystem_mode == FilesystemMode.CLOUD
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else None,
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)
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skills_mw = SkillsMiddleware(
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backend=skills_factory,
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sources=default_skills_sources(),
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)
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except Exception as exc: # pragma: no cover - defensive
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logger.warning("SkillsMiddleware init failed; skipping: %s", exc)
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skills_mw = None
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names = {t.name for t in tools}
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selector_mw: LLMToolSelectorMiddleware | None = None
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if (
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flags.enable_llm_tool_selector
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and not flags.disable_new_agent_stack
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and len(tools) > 30
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):
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try:
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selector_mw = LLMToolSelectorMiddleware(
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model="openai:gpt-4o-mini",
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max_tools=12,
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always_include=[
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n
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for n in (
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"research",
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"memory",
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"update_memory",
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"get_connected_accounts",
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"scrape_webpage",
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)
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if n in names
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],
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)
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except Exception:
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logger.warning("LLMToolSelectorMiddleware init failed; skipping.")
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selector_mw = None
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deepagent_middleware = [
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busy_mutex_mw,
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otel_mw,
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TodoListMiddleware(),
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memory_middleware,
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AnonymousDocumentMiddleware(anon_session_id=anon_session_id)
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if filesystem_mode == FilesystemMode.CLOUD
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else None,
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KnowledgeTreeMiddleware(
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search_space_id=search_space_id,
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filesystem_mode=filesystem_mode,
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llm=llm,
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)
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if filesystem_mode == FilesystemMode.CLOUD
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else None,
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KnowledgePriorityMiddleware(
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llm=llm,
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search_space_id=search_space_id,
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filesystem_mode=filesystem_mode,
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available_connectors=available_connectors,
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available_document_types=available_document_types,
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mentioned_document_ids=mentioned_document_ids,
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),
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FileIntentMiddleware(llm=llm),
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SurfSenseFilesystemMiddleware(
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backend=backend_resolver,
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filesystem_mode=filesystem_mode,
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search_space_id=search_space_id,
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created_by_id=user_id,
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thread_id=thread_id,
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),
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KnowledgeBasePersistenceMiddleware(
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search_space_id=search_space_id,
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created_by_id=user_id,
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filesystem_mode=filesystem_mode,
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)
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if filesystem_mode == FilesystemMode.CLOUD
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else None,
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skills_mw,
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selector_mw,
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model_call_limit_mw,
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tool_call_limit_mw,
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context_edit_mw,
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summarization_mw,
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noop_mw,
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retry_mw,
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fallback_mw,
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repair_mw,
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doom_loop_mw,
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action_log_mw,
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PatchToolCallsMiddleware(),
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DedupHITLToolCallsMiddleware(agent_tools=list(tools)),
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*plugin_middlewares,
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AnthropicPromptCachingMiddleware(unsupported_model_behavior="ignore"),
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]
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return [m for m in deepagent_middleware if m is not None]
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