Refactor multi-agent supervisor prompts and wiring; thread citations into streaming.

This commit is contained in:
CREDO23 2026-04-30 19:33:57 +02:00
parent 74337b462a
commit ba131f5736
28 changed files with 286 additions and 161 deletions

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@ -1,4 +1,4 @@
"""Search-space / DB kwargs shared by ``new_chat`` tool factories (distinct from ``expert_agent.connectors`` integrations)."""
"""Search-space / DB kwargs shared by main-chat tool factories (distinct from ``expert_agent.connectors`` integrations)."""
from app.agents.multi_agent_chat.core.bindings.binding import connector_binding

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@ -1,4 +1,4 @@
"""Shared kwargs dict for ``new_chat`` tool factories (DB session + search space + user)."""
"""Shared kwargs dict for main-chat tool factories (DB session + search space + user)."""
from __future__ import annotations

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@ -1,4 +1,4 @@
"""Partition MCP tools onto multi-agent expert routes without modifying ``new_chat``.
"""Partition MCP tools onto multi-agent expert routes (read-only; does not change the MCP loader).
Uses the same connector discovery shape as ``load_mcp_tools`` (copied query below). Tools come from
``app.agents.new_chat.tools.mcp_tool.load_mcp_tools``; routing uses metadata already set there:
@ -61,7 +61,7 @@ async def fetch_mcp_connector_metadata_maps(
) -> tuple[dict[int, str], dict[str, str]]:
"""Read-only copy of connector discovery used alongside ``load_mcp_tools``.
Same filter as ``new_chat.tools.mcp_tool.load_mcp_tools`` (connectors with ``server_config``).
Same filter as :func:`app.agents.new_chat.tools.mcp_tool.load_mcp_tools` (connectors with ``server_config``).
"""
result = await session.execute(
select(SearchSourceConnector).filter(
@ -90,7 +90,7 @@ def partition_mcp_tools_by_expert_route(
) -> dict[str, list[BaseTool]]:
"""Bucket MCP tools by expert route key. Supervisor never receives raw MCP tools.
Same inclusion rule as ``new_chat.tools.registry.build_tools_async``: all tools returned by
Same inclusion rule as :func:`app.agents.new_chat.tools.registry.build_tools_async`: all tools returned by
``load_mcp_tools`` are partitioned connector availability for **registry** builtins is handled via
``get_connector_gated_tools`` / routing gates; MCP tools are not pre-filtered by inventory here.
"""

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@ -1,4 +1,4 @@
"""``new_chat`` tool registry grouping + dependency bundles for domain slices."""
"""Main chat tool registry grouping + dependency bundles for domain slices."""
from app.agents.multi_agent_chat.core.registry.categories import (
REGISTRY_ROUTING_CATEGORY_KEYS,

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@ -1,4 +1,4 @@
"""Dependency dict for :func:`app.agents.new_chat.tools.registry.build_tools` in multi-agent graphs."""
"""Dependency dict for :func:`app.agents.new_chat.tools.registry.build_tools` on expert subgraphs."""
from __future__ import annotations

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@ -1,4 +1,4 @@
"""Build :mod:`new_chat` registry tool subsets for multi-agent domain slices."""
"""Build registry tool subsets (``app.agents.new_chat.tools.registry``) for multi-agent domain slices."""
from __future__ import annotations

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@ -10,5 +10,5 @@ from app.agents.multi_agent_chat.core.registry import build_registry_tools_for_c
def build_deliverables_tools(dependencies: dict[str, Any]) -> list[BaseTool]:
"""Tools from ``new_chat`` registry: ``deliverables`` category."""
"""Registry-backed tools for the ``deliverables`` category."""
return build_registry_tools_for_category(dependencies, "deliverables")

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@ -10,5 +10,5 @@ from app.agents.multi_agent_chat.core.registry import build_registry_tools_for_c
def build_memory_tools(dependencies: dict[str, Any]) -> list[BaseTool]:
"""Tools from ``new_chat`` registry: ``memory`` category."""
"""Registry-backed tools for the ``memory`` category."""
return build_registry_tools_for_category(dependencies, "memory")

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@ -10,5 +10,5 @@ from app.agents.multi_agent_chat.core.registry import build_registry_tools_for_c
def build_research_tools(dependencies: dict[str, Any]) -> list[BaseTool]:
"""Tools from ``new_chat`` registry: ``research`` category."""
"""Registry-backed tools for the ``research`` category."""
return build_registry_tools_for_category(dependencies, "research")

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@ -10,5 +10,5 @@ from app.agents.multi_agent_chat.core.registry import build_registry_tools_for_c
def build_calendar_tools(dependencies: dict[str, Any]) -> list[BaseTool]:
"""Tools from ``new_chat`` registry: ``calendar`` category."""
"""Registry-backed tools for the ``calendar`` category."""
return build_registry_tools_for_category(dependencies, "calendar")

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@ -10,5 +10,5 @@ from app.agents.multi_agent_chat.core.registry import build_registry_tools_for_c
def build_confluence_tools(dependencies: dict[str, Any]) -> list[BaseTool]:
"""Tools from ``new_chat`` registry: ``confluence`` category."""
"""Registry-backed tools for the ``confluence`` category."""
return build_registry_tools_for_category(dependencies, "confluence")

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@ -10,5 +10,5 @@ from app.agents.multi_agent_chat.core.registry import build_registry_tools_for_c
def build_discord_tools(dependencies: dict[str, Any]) -> list[BaseTool]:
"""Tools from ``new_chat`` registry: ``discord`` category."""
"""Registry-backed tools for the ``discord`` category."""
return build_registry_tools_for_category(dependencies, "discord")

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@ -10,5 +10,5 @@ from app.agents.multi_agent_chat.core.registry import build_registry_tools_for_c
def build_dropbox_tools(dependencies: dict[str, Any]) -> list[BaseTool]:
"""Tools from ``new_chat`` registry: ``dropbox`` category."""
"""Registry-backed tools for the ``dropbox`` category."""
return build_registry_tools_for_category(dependencies, "dropbox")

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@ -10,5 +10,5 @@ from app.agents.multi_agent_chat.core.registry import build_registry_tools_for_c
def build_gmail_tools(dependencies: dict[str, Any]) -> list[BaseTool]:
"""Tools from ``new_chat`` registry: ``gmail`` category."""
"""Registry-backed tools for the ``gmail`` category."""
return build_registry_tools_for_category(dependencies, "gmail")

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@ -10,5 +10,5 @@ from app.agents.multi_agent_chat.core.registry import build_registry_tools_for_c
def build_google_drive_tools(dependencies: dict[str, Any]) -> list[BaseTool]:
"""Tools from ``new_chat`` registry: ``google_drive`` category."""
"""Registry-backed tools for the ``google_drive`` category."""
return build_registry_tools_for_category(dependencies, "google_drive")

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@ -10,5 +10,5 @@ from app.agents.multi_agent_chat.core.registry import build_registry_tools_for_c
def build_luma_tools(dependencies: dict[str, Any]) -> list[BaseTool]:
"""Tools from ``new_chat`` registry: ``luma`` category."""
"""Registry-backed tools for the ``luma`` category."""
return build_registry_tools_for_category(dependencies, "luma")

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@ -10,5 +10,5 @@ from app.agents.multi_agent_chat.core.registry import build_registry_tools_for_c
def build_notion_tools(dependencies: dict[str, Any]) -> list[BaseTool]:
"""Tools from ``new_chat`` registry: ``notion`` category."""
"""Registry-backed tools for the ``notion`` category."""
return build_registry_tools_for_category(dependencies, "notion")

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@ -10,5 +10,5 @@ from app.agents.multi_agent_chat.core.registry import build_registry_tools_for_c
def build_onedrive_tools(dependencies: dict[str, Any]) -> list[BaseTool]:
"""Tools from ``new_chat`` registry: ``onedrive`` category."""
"""Registry-backed tools for the ``onedrive`` category."""
return build_registry_tools_for_category(dependencies, "onedrive")

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@ -10,5 +10,5 @@ from app.agents.multi_agent_chat.core.registry import build_registry_tools_for_c
def build_teams_tools(dependencies: dict[str, Any]) -> list[BaseTool]:
"""Tools from ``new_chat`` registry: ``teams`` category."""
"""Registry-backed tools for the ``teams`` category."""
return build_registry_tools_for_category(dependencies, "teams")

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@ -1,4 +1,4 @@
"""Single entry: SurfSense connectors + multi-agent stack → compiled supervisor graph."""
"""Build the multi-agent supervisor graph: MCP partition, registry, routing tools, optional SurfSense middleware."""
from __future__ import annotations
@ -11,14 +11,6 @@ from langchain_core.tools import BaseTool
from langgraph.types import Checkpointer
from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.chat_deepagent import _map_connectors_to_searchable_types
from app.agents.new_chat.context import SurfSenseContextSchema
from app.agents.new_chat.feature_flags import get_flags
from app.agents.new_chat.filesystem_backends import build_backend_resolver
from app.agents.new_chat.filesystem_selection import FilesystemSelection
from app.agents.new_chat.tools.mcp_tool import load_mcp_tools
from app.db import ChatVisibility
from app.agents.multi_agent_chat.core.mcp_partition import (
fetch_mcp_connector_metadata_maps,
partition_mcp_tools_by_expert_route,
@ -27,14 +19,95 @@ from app.agents.multi_agent_chat.core.registry.dependencies import (
build_registry_dependencies,
coerce_thread_id_for_registry,
)
from app.agents.multi_agent_chat.middleware.supervisor_stack import build_supervisor_middleware_stack
from app.agents.multi_agent_chat.routing.supervisor_routing import build_supervisor_routing_tools
from app.agents.multi_agent_chat.middleware.supervisor_stack import (
build_supervisor_middleware_stack,
)
from app.agents.multi_agent_chat.routing.supervisor_routing import (
build_supervisor_routing_tools,
)
from app.agents.multi_agent_chat.supervisor import build_supervisor_agent
from app.agents.new_chat.chat_deepagent import _map_connectors_to_searchable_types
from app.agents.new_chat.context import SurfSenseContextSchema
from app.agents.new_chat.feature_flags import get_flags
from app.agents.new_chat.filesystem_backends import build_backend_resolver
from app.agents.new_chat.filesystem_selection import FilesystemSelection
from app.agents.new_chat.tools.mcp_tool import load_mcp_tools
from app.db import ChatVisibility
logger = logging.getLogger(__name__)
def _compile_supervisor_chat_blocking(
async def _discover_connectors_and_doc_types(
*,
connector_service: Any | None,
search_space_id: int,
available_connectors: list[str] | None,
available_document_types: list[str] | None,
) -> tuple[list[str] | None, list[str] | None]:
"""Fill connector / document-type lists from ``connector_service`` when callers omit them."""
connectors = available_connectors
doc_types = available_document_types
if connector_service is None:
return connectors, doc_types
try:
if connectors is None:
raw = await connector_service.get_available_connectors(search_space_id)
if raw:
connectors = _map_connectors_to_searchable_types(raw)
if doc_types is None:
doc_types = await connector_service.get_available_document_types(search_space_id)
except Exception as exc:
logger.warning("Failed to discover available connectors/document types: %s", exc)
return connectors, doc_types
async def _mcp_tools_by_expert_route(
*,
db_session: AsyncSession,
search_space_id: int,
) -> dict[str, list[BaseTool]] | None:
mcp_flat = await load_mcp_tools(db_session, search_space_id)
id_map, name_map = await fetch_mcp_connector_metadata_maps(db_session, search_space_id)
return partition_mcp_tools_by_expert_route(mcp_flat, id_map, name_map)
def _make_supervisor_routing_tools(
llm: BaseChatModel,
*,
db_session: AsyncSession,
search_space_id: int,
user_id: str,
thread_id: str | int | None,
firecrawl_api_key: str | None,
connector_service: Any | None,
available_connectors: list[str] | None,
available_document_types: list[str] | None,
thread_visibility: ChatVisibility,
mcp_tools_by_route: dict[str, list[BaseTool]] | None,
) -> list[BaseTool]:
registry_dependencies = build_registry_dependencies(
db_session=db_session,
search_space_id=search_space_id,
user_id=user_id,
thread_id=thread_id,
llm=llm,
firecrawl_api_key=firecrawl_api_key,
connector_service=connector_service,
available_connectors=available_connectors,
available_document_types=available_document_types,
thread_visibility=thread_visibility,
)
return build_supervisor_routing_tools(
llm,
registry_dependencies=registry_dependencies,
include_deliverables=coerce_thread_id_for_registry(thread_id) is not None,
mcp_tools_by_route=mcp_tools_by_route,
available_connectors=available_connectors,
thread_visibility=thread_visibility,
)
def _compile_supervisor_agent_sync(
*,
llm: BaseChatModel,
routing_tools: list[BaseTool],
@ -43,16 +116,16 @@ def _compile_supervisor_chat_blocking(
filesystem_mode: Any,
search_space_id: int,
user_id: str,
thread_id: str | None,
thread_id: str | int | None,
thread_visibility: ChatVisibility,
anon_session_id: str | None,
available_connectors: list[str] | None,
available_document_types: list[str] | None,
mentioned_document_ids: list[int] | None,
max_input_tokens: int | None,
citations_enabled: bool,
) -> Any:
"""CPU-heavy: middleware assembly + ``create_agent`` (runs in a worker thread)."""
flags = get_flags()
"""CPU-heavy: middleware stack + ``create_agent`` (intended for ``asyncio.to_thread``)."""
middleware = build_supervisor_middleware_stack(
llm=llm,
tools=routing_tools,
@ -67,7 +140,7 @@ def _compile_supervisor_chat_blocking(
available_document_types=available_document_types,
mentioned_document_ids=mentioned_document_ids,
max_input_tokens=max_input_tokens,
flags=flags,
flags=get_flags(),
)
return build_supervisor_agent(
llm,
@ -76,6 +149,7 @@ def _compile_supervisor_chat_blocking(
thread_visibility=thread_visibility,
middleware=middleware,
context_schema=SurfSenseContextSchema,
citations_enabled=citations_enabled,
)
@ -98,16 +172,17 @@ async def create_multi_agent_chat(
mentioned_document_ids: list[int] | None = None,
max_input_tokens: int | None = None,
surfsense_stack: bool = True,
citations_enabled: bool | None = None,
):
"""Build the full multi-agent chat graph (supervisor + domain subgraphs via routing tools).
"""Build the full multi-agent chat graph (supervisor + expert subgraphs via routing tools).
**Builtins** (:mod:`expert_agent.builtins`): registry-grouped **categories** (research, memory, deliverables).
**Connectors** (:mod:`expert_agent.connectors`): **vendor integrations** one subgraph per route in
``TOOL_NAMES_BY_CATEGORY`` (e.g. calendar, confluence, discord, dropbox, gmail, google_drive, luma, notion, onedrive, teams).
MCP tools from ``new_chat`` (``load_mcp_tools``) are partitioned inside this package and attached only
MCP tools (via ``load_mcp_tools``) are partitioned inside this package and attached only
to the matching expert subgraphs not to the supervisor tool list as raw MCP calls. Inclusion matches
``new_chat.tools.registry.build_tools_async``: all tools returned by ``load_mcp_tools`` are merged
``app.agents.new_chat.tools.registry.build_tools_async``: all tools returned by ``load_mcp_tools`` are merged
after partitioning (no extra inventory filter on MCP). Connector routing uses ``available_connectors``:
pass explicitly, or provide ``connector_service`` so lists are resolved like
``create_surfsense_deep_agent`` (``get_available_connectors`` searchable types).
@ -115,57 +190,38 @@ async def create_multi_agent_chat(
Deliverables (thread-scoped reports, podcasts, etc.) are registered only when ``thread_id`` is set.
When ``surfsense_stack`` is true (default), the supervisor uses the same SurfSense middleware shell as
``new_chat`` (KB priority/tree, filesystem, compaction, permissions, etc.) except ``SubAgentMiddleware`` /
``task``, since experts are separate graphs behind routing tools. Graph compilation runs in
``asyncio.to_thread`` so heavy CPU work does not block the event loop.
the main single-agent chat (KB priority/tree, filesystem, compaction, permissions, etc.) except
``SubAgentMiddleware`` / ``task``, since experts are separate graphs behind routing tools. Graph
compilation runs in ``asyncio.to_thread`` so heavy CPU work does not block the event loop.
``citations_enabled``: when ``None``, defaults to ``True`` (same default as ``AgentConfig`` / main chat).
"""
resolved_connectors = available_connectors
resolved_doc_types = available_document_types
if connector_service is not None:
try:
if resolved_connectors is None:
connector_types = await connector_service.get_available_connectors(
search_space_id
)
if connector_types:
resolved_connectors = _map_connectors_to_searchable_types(
connector_types
)
if resolved_doc_types is None:
resolved_doc_types = (
await connector_service.get_available_document_types(search_space_id)
)
except Exception as exc:
logger.warning(
"Failed to discover available connectors/document types: %s",
exc,
)
citations = True if citations_enabled is None else citations_enabled
connectors, doc_types = await _discover_connectors_and_doc_types(
connector_service=connector_service,
search_space_id=search_space_id,
available_connectors=available_connectors,
available_document_types=available_document_types,
)
mcp_tools_by_route: dict[str, list[BaseTool]] | None = None
mcp_by_route: dict[str, list[BaseTool]] | None = None
if include_mcp_tools:
mcp_flat = await load_mcp_tools(db_session, search_space_id)
id_map, name_map = await fetch_mcp_connector_metadata_maps(db_session, search_space_id)
mcp_tools_by_route = partition_mcp_tools_by_expert_route(mcp_flat, id_map, name_map)
mcp_by_route = await _mcp_tools_by_expert_route(
db_session=db_session, search_space_id=search_space_id
)
registry_dependencies = build_registry_dependencies(
routing_tools = _make_supervisor_routing_tools(
llm,
db_session=db_session,
search_space_id=search_space_id,
user_id=user_id,
thread_id=thread_id,
llm=llm,
firecrawl_api_key=firecrawl_api_key,
connector_service=connector_service,
available_connectors=resolved_connectors,
available_document_types=resolved_doc_types,
thread_visibility=thread_visibility,
)
routing_tools = build_supervisor_routing_tools(
llm,
registry_dependencies=registry_dependencies,
include_deliverables=coerce_thread_id_for_registry(thread_id) is not None,
mcp_tools_by_route=mcp_tools_by_route,
available_connectors=resolved_connectors,
available_connectors=connectors,
available_document_types=doc_types,
thread_visibility=thread_visibility,
mcp_tools_by_route=mcp_by_route,
)
fs_sel = filesystem_selection or FilesystemSelection()
@ -177,10 +233,11 @@ async def create_multi_agent_chat(
tools=routing_tools,
checkpointer=checkpointer,
thread_visibility=thread_visibility,
citations_enabled=citations,
)
return await asyncio.to_thread(
_compile_supervisor_chat_blocking,
_compile_supervisor_agent_sync,
llm=llm,
routing_tools=routing_tools,
checkpointer=checkpointer,
@ -191,8 +248,9 @@ async def create_multi_agent_chat(
thread_id=thread_id,
thread_visibility=thread_visibility,
anon_session_id=anon_session_id,
available_connectors=resolved_connectors,
available_document_types=resolved_doc_types,
available_connectors=connectors,
available_document_types=doc_types,
mentioned_document_ids=mentioned_document_ids,
max_input_tokens=max_input_tokens,
citations_enabled=citations,
)

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@ -1,4 +1,4 @@
"""SurfSense supervisor middleware (parity with ``new_chat`` main agent, minus subagents)."""
"""SurfSense supervisor middleware (parity with the main single-agent chat, minus subagents)."""
from app.agents.multi_agent_chat.middleware.supervisor_stack import (
build_supervisor_middleware_stack,

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@ -1,4 +1,4 @@
"""Supervisor middleware stack matching ``new_chat`` main agent (no ``SubAgentMiddleware`` / ``task``)."""
"""Supervisor middleware stack matching the main single-agent chat (no ``SubAgentMiddleware`` / ``task``)."""
from __future__ import annotations

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@ -1,4 +1,4 @@
"""Gate supervisor routing tools by connected searchable connector types (aligned with ``new_chat`` KB).
"""Gate supervisor routing tools by connected searchable connector types (aligned with main chat KB).
When ``available_connectors`` is ``None``, all routes are emitted (caller did not pass an inventory).

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@ -116,7 +116,7 @@ def build_supervisor_routing_tools(
``mcp_tools_by_route`` maps route keys to MCP tools merged into the matching expert subgraph.
When ``available_connectors`` is set (searchable connector strings, same shape as ``new_chat``),
When ``available_connectors`` is set (searchable connector strings, same shape as the main chat agent),
a connector-backed route is registered only if its required searchable connector type is available.
"""
if registry_dependencies is None:

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@ -1,80 +1,18 @@
"""Compile the supervisor agent graph (supervisor prompt + caller-supplied routing tools)."""
"""Compile the supervisor agent graph (LangChain ``create_agent`` + caller routing tools)."""
from __future__ import annotations
from collections.abc import Sequence
from typing import Any
import app.agents.multi_agent_chat.supervisor as supervisor_pkg
from langchain.agents import create_agent
from langchain_core.language_models import BaseChatModel
from langchain_core.tools import BaseTool
from langgraph.types import Checkpointer
from app.agents.multi_agent_chat.core.prompts import read_prompt_md
_BUILTIN_SPECIALISTS: frozenset[str] = frozenset({"research", "memory", "deliverables"})
_SPECIALIST_CAPABILITIES: dict[str, str] = {
"research": "external research: web lookup, source gathering, and SurfSense documentation help.",
"memory": "save durable long-lived memory items.",
"deliverables": "deliverables and shareable artifacts: reports, podcasts, video presentations, resumes, and images.",
"gmail": "email inbox actions: search/read emails, draft updates, send messages, and trash emails.",
"calendar": "scheduling actions: check availability, inspect events, create events, and update events.",
"google_drive": "Drive file/document actions: locate files, inspect content, and manage files/folders.",
"notion": "Notion page actions: create pages, update content, and delete pages.",
"confluence": "Confluence page actions: find/read pages and create/update pages.",
"dropbox": "Dropbox file storage actions: browse folders, read files, and manage file content.",
"onedrive": "OneDrive file storage actions: browse folders, read files, and manage file content.",
"discord": "Discord communication actions: read channels/threads and post replies.",
"teams": "Microsoft Teams communication actions: read channels/threads and post replies.",
"luma": "Luma event actions: list events, inspect event details, and create events.",
"linear": "Linear workflow actions: search/update issues and inspect projects/cycles.",
"jira": "Jira workflow actions: search/update issues and manage workflow transitions.",
"clickup": "ClickUp workflow actions: find/update tasks and lists.",
"airtable": "Airtable data actions: locate bases/tables and create/read/update records.",
"slack": "Slack communication actions: read channel/thread history and post replies.",
# generic_mcp specialist intentionally disabled for now.
# "generic_mcp": "handle tasks through user-defined custom app integration tools not covered above.",
}
_SPECIALIST_ORDER: tuple[str, ...] = tuple(_SPECIALIST_CAPABILITIES.keys())
def _memory_capability_for_visibility(thread_visibility: Any | None) -> str:
vis = str(getattr(thread_visibility, "value", thread_visibility)).upper()
if vis == "SEARCH_SPACE":
return "team memory actions: save shared team preferences, conventions, and long-lived team facts."
return "user memory actions: save personal preferences, instructions, and long-lived user facts."
def _render_available_specialists_list(
tools: Sequence[BaseTool],
*,
thread_visibility: Any | None,
) -> str:
available_names = {
tool.name for tool in tools if isinstance(getattr(tool, "name", None), str)
}
capabilities = dict(_SPECIALIST_CAPABILITIES)
capabilities["memory"] = _memory_capability_for_visibility(thread_visibility)
lines: list[str] = []
for name in _SPECIALIST_ORDER:
if name in _BUILTIN_SPECIALISTS or name in available_names:
capability = capabilities[name]
lines.append(f"- {name}: {capability}")
return "\n".join(lines)
def _render_supervisor_prompt(
template: str,
tools: Sequence[BaseTool],
*,
thread_visibility: Any | None,
) -> str:
specialist_list = _render_available_specialists_list(
tools, thread_visibility=thread_visibility
)
return template.replace("{{AVAILABLE_SPECIALISTS_LIST}}", specialist_list)
from app.agents.multi_agent_chat.supervisor.prompt_assembly import (
build_supervisor_system_prompt,
)
def build_supervisor_agent(
@ -85,13 +23,13 @@ def build_supervisor_agent(
thread_visibility: Any | None = None,
middleware: Sequence[Any] | None = None,
context_schema: Any | None = None,
citations_enabled: bool = True,
):
"""Compile the supervisor **agent** (graph). ``tools`` = output of ``build_supervisor_routing_tools``."""
template = read_prompt_md(supervisor_pkg.__name__, "supervisor_prompt")
system_prompt = _render_supervisor_prompt(
template,
system_prompt = build_supervisor_system_prompt(
tools,
thread_visibility=thread_visibility,
citations_enabled=citations_enabled,
)
kwargs: dict[str, Any] = {
"system_prompt": system_prompt,

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@ -0,0 +1,128 @@
"""Supervisor system prompt: template load, shared agent-identity injection, specialist list."""
from __future__ import annotations
from collections.abc import Sequence
from datetime import UTC, datetime
from typing import Any
from langchain_core.tools import BaseTool
import app.agents.multi_agent_chat.supervisor as supervisor_pkg
from app.agents.multi_agent_chat.core.prompts import read_prompt_md
from app.agents.new_chat.prompts.composer import _build_citation_block, _read_fragment
from app.db import ChatVisibility
_MEMORY_SPECIALIST_PHRASE = "invoke the **memory** specialist"
_BUILTIN_SPECIALISTS: frozenset[str] = frozenset({"research", "memory", "deliverables"})
_SPECIALIST_CAPABILITIES: dict[str, str] = {
"research": "external research: web lookup, source gathering, and SurfSense documentation help.",
"memory": "save durable long-lived memory items.",
"deliverables": "deliverables and shareable artifacts: reports, podcasts, video presentations, resumes, and images.",
"gmail": "email inbox actions: search/read emails, draft updates, send messages, and trash emails.",
"calendar": "scheduling actions: check availability, inspect events, create events, and update events.",
"google_drive": "Drive file/document actions: locate files, inspect content, and manage files/folders.",
"notion": "Notion page actions: create pages, update content, and delete pages.",
"confluence": "Confluence page actions: find/read pages and create/update pages.",
"dropbox": "Dropbox file storage actions: browse folders, read files, and manage file content.",
"onedrive": "OneDrive file storage actions: browse folders, read files, and manage file content.",
"discord": "Discord communication actions: read channels/threads and post replies.",
"teams": "Microsoft Teams communication actions: read channels/threads and post replies.",
"luma": "Luma event actions: list events, inspect event details, and create events.",
"linear": "Linear workflow actions: search/update issues and inspect projects/cycles.",
"jira": "Jira workflow actions: search/update issues and manage workflow transitions.",
"clickup": "ClickUp workflow actions: find/update tasks and lists.",
"airtable": "Airtable data actions: locate bases/tables and create/read/update records.",
"slack": "Slack communication actions: read channel/thread history and post replies.",
# generic_mcp specialist intentionally disabled for now.
# "generic_mcp": "handle tasks through user-defined custom app integration tools not covered above.",
}
_SPECIALIST_ORDER: tuple[str, ...] = tuple(_SPECIALIST_CAPABILITIES.keys())
def _normalize_chat_visibility(thread_visibility: Any | None) -> ChatVisibility:
if thread_visibility is None:
return ChatVisibility.PRIVATE
if thread_visibility == ChatVisibility.SEARCH_SPACE:
return ChatVisibility.SEARCH_SPACE
raw = getattr(thread_visibility, "value", thread_visibility)
if str(raw).upper() == "SEARCH_SPACE":
return ChatVisibility.SEARCH_SPACE
return ChatVisibility.PRIVATE
def _identity_fragment_key(thread_visibility: Any | None) -> str:
"""``private`` / ``team`` suffix for ``agent_*`` and ``memory_protocol_*`` fragments."""
return (
"team"
if _normalize_chat_visibility(thread_visibility) == ChatVisibility.SEARCH_SPACE
else "private"
)
def _compose_identity_memory_citations(
*,
thread_visibility: Any | None,
citations_enabled: bool,
) -> str:
"""Main-chat identity, memory protocol, and citation fragments (supervisor slice only)."""
key = _identity_fragment_key(thread_visibility)
today = datetime.now(UTC).date().isoformat()
intro = _read_fragment(f"base/agent_{key}.md")
if intro:
intro = intro.format(resolved_today=today)
memory = _read_fragment(f"base/memory_protocol_{key}.md").replace(
"call update_memory",
_MEMORY_SPECIALIST_PHRASE,
)
tail = (
f"<system_instruction>\n{memory}\n\n</system_instruction>\n"
+ _build_citation_block(citations_enabled)
)
return "\n\n".join(part for part in (intro.strip(), tail.strip()) if part)
def _memory_specialist_capability(thread_visibility: Any | None) -> str:
vis = str(getattr(thread_visibility, "value", thread_visibility)).upper()
if vis == "SEARCH_SPACE":
return "team memory actions: save shared team preferences, conventions, and long-lived team facts."
return "user memory actions: save personal preferences, instructions, and long-lived user facts."
def _specialists_markdown(
tools: Sequence[BaseTool],
*,
thread_visibility: Any | None,
) -> str:
available_names = {
tool.name for tool in tools if isinstance(getattr(tool, "name", None), str)
}
capabilities = dict(_SPECIALIST_CAPABILITIES)
capabilities["memory"] = _memory_specialist_capability(thread_visibility)
lines: list[str] = []
for name in _SPECIALIST_ORDER:
if name in _BUILTIN_SPECIALISTS or name in available_names:
lines.append(f"- {name}: {capabilities[name]}")
return "\n".join(lines)
def build_supervisor_system_prompt(
tools: Sequence[BaseTool],
*,
thread_visibility: Any | None,
citations_enabled: bool,
) -> str:
"""Load ``supervisor_prompt.md`` and fill placeholders."""
template = read_prompt_md(supervisor_pkg.__name__, "supervisor_prompt")
specialists = _specialists_markdown(tools, thread_visibility=thread_visibility)
injected = _compose_identity_memory_citations(
thread_visibility=thread_visibility,
citations_enabled=citations_enabled,
)
return template.replace("{{AVAILABLE_SPECIALISTS_LIST}}", specialists).replace(
"{{SUPERVISOR_BASE_INJECTION}}",
injected,
)

View file

@ -1,9 +1,8 @@
You are SurfSense's multi-agent supervisor.
{{SUPERVISOR_BASE_INJECTION}}
<role>
Your job is to decide whether to answer directly or delegate to one or more specialists.
You optimize for correctness, low confusion, and minimal unnecessary delegation.
</role>
<supervisor_role>
In this **multi-agent** session you also **coordinate specialists** (listed below): call a specialist only when their domain matches the need; give each call a compact, outcome-focused task; merge structured results into one clear user-facing reply. When you can satisfy the turn with your own tools and reasoning, do so without delegating.
</supervisor_role>
<available_specialists>
Use only the specialists listed below.

View file

@ -1581,6 +1581,7 @@ async def stream_new_chat(
thread_visibility=visibility,
filesystem_selection=filesystem_selection,
mentioned_document_ids=mentioned_document_ids,
citations_enabled=agent_config.citations_enabled,
)
else:
agent = await create_surfsense_deep_agent(
@ -2305,6 +2306,7 @@ async def stream_resume_chat(
connector_service=connector_service,
thread_visibility=visibility,
filesystem_selection=filesystem_selection,
citations_enabled=agent_config.citations_enabled,
)
else:
agent = await create_surfsense_deep_agent(