Merge upstream/dev into feature/multi-agent

This commit is contained in:
CREDO23 2026-05-05 01:44:46 +02:00
commit 5119915f4f
278 changed files with 34669 additions and 8970 deletions

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@ -11,7 +11,6 @@ from langchain_core.language_models import BaseChatModel
from langchain_core.tools import BaseTool
from langgraph.types import Checkpointer
from .middleware import build_main_agent_deepagent_middleware
from app.agents.multi_agent_chat.subagents.shared.permissions import (
ToolsPermissions,
)
@ -20,6 +19,8 @@ from app.agents.new_chat.feature_flags import AgentFeatureFlags
from app.agents.new_chat.filesystem_selection import FilesystemMode
from app.db import ChatVisibility
from .middleware import build_main_agent_deepagent_middleware
def build_compiled_agent_graph_sync(
*,

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@ -31,8 +31,8 @@ from .propagation import (
from .resume import (
build_resume_command,
fan_out_decisions_to_match,
hitlrequest_action_count,
get_first_pending_subagent_interrupt,
hitlrequest_action_count,
)
logger = logging.getLogger(__name__)
@ -51,7 +51,9 @@ def build_task_tool_with_parent_config(
)
if task_description is None:
description = TASK_TOOL_DESCRIPTION.format(available_agents=subagent_description_str)
description = TASK_TOOL_DESCRIPTION.format(
available_agents=subagent_description_str
)
elif "{available_agents}" in task_description:
description = task_description.format(available_agents=subagent_description_str)
else:
@ -90,11 +92,11 @@ def build_task_tool_with_parent_config(
def task(
description: Annotated[
str,
"A detailed description of the task for the subagent to perform autonomously. Include all necessary context and specify the expected output format.", # noqa: E501
"A detailed description of the task for the subagent to perform autonomously. Include all necessary context and specify the expected output format.",
],
subagent_type: Annotated[
str,
"The type of subagent to use. Must be one of the available agent types listed in the tool description.", # noqa: E501
"The type of subagent to use. Must be one of the available agent types listed in the tool description.",
],
runtime: ToolRuntime,
) -> str | Command:
@ -119,7 +121,9 @@ def build_task_tool_with_parent_config(
if callable(get_state):
try:
snapshot = get_state(sub_config)
pending_id, pending_value = get_first_pending_subagent_interrupt(snapshot)
pending_id, pending_value = get_first_pending_subagent_interrupt(
snapshot
)
except Exception:
# Fail loud if a resume is queued: silent fallback would
# replay the original interrupt to the user.
@ -158,11 +162,11 @@ def build_task_tool_with_parent_config(
async def atask(
description: Annotated[
str,
"A detailed description of the task for the subagent to perform autonomously. Include all necessary context and specify the expected output format.", # noqa: E501
"A detailed description of the task for the subagent to perform autonomously. Include all necessary context and specify the expected output format.",
],
subagent_type: Annotated[
str,
"The type of subagent to use. Must be one of the available agent types listed in the tool description.", # noqa: E501
"The type of subagent to use. Must be one of the available agent types listed in the tool description.",
],
runtime: ToolRuntime,
) -> str | Command:
@ -186,7 +190,9 @@ def build_task_tool_with_parent_config(
if callable(aget_state):
try:
snapshot = await aget_state(sub_config)
pending_id, pending_value = get_first_pending_subagent_interrupt(snapshot)
pending_id, pending_value = get_first_pending_subagent_interrupt(
snapshot
)
except Exception:
if has_surfsense_resume(runtime):
logger.exception(

View file

@ -23,7 +23,6 @@ from langchain_core.language_models import BaseChatModel
from langchain_core.tools import BaseTool
from langgraph.types import Checkpointer
from ...context_prune.prune_tool_names import safe_exclude_tools
from app.agents.multi_agent_chat.subagents import (
build_subagents,
get_subagents_to_exclude,
@ -66,6 +65,7 @@ from app.agents.new_chat.plugin_loader import (
from app.agents.new_chat.tools.registry import BUILTIN_TOOLS
from app.db import ChatVisibility
from ...context_prune.prune_tool_names import safe_exclude_tools
from .checkpointed_subagent_middleware import SurfSenseCheckpointedSubAgentMiddleware

View file

@ -14,8 +14,10 @@ from langchain_core.tools import BaseTool
from langgraph.types import Checkpointer
from sqlalchemy.ext.asyncio import AsyncSession
from ..graph.compile_graph_sync import build_compiled_agent_graph_sync
from ..tools import MAIN_AGENT_SURFSENSE_TOOL_NAMES, MAIN_AGENT_SURFSENSE_TOOL_NAMES_ORDERED
from app.agents.multi_agent_chat.subagents import (
get_subagents_to_exclude,
main_prompt_registry_subagent_lines,
)
from app.agents.multi_agent_chat.subagents.mcp_tools.index import (
load_mcp_tools_by_connector,
)
@ -24,17 +26,19 @@ from app.agents.new_chat.feature_flags import AgentFeatureFlags, get_flags
from app.agents.new_chat.filesystem_backends import build_backend_resolver
from app.agents.new_chat.filesystem_selection import FilesystemMode, FilesystemSelection
from app.agents.new_chat.llm_config import AgentConfig
from app.agents.multi_agent_chat.subagents import (
get_subagents_to_exclude,
main_prompt_registry_subagent_lines,
)
from ..system_prompt import build_main_agent_system_prompt
from app.agents.new_chat.tools.invalid_tool import INVALID_TOOL_NAME, invalid_tool
from app.agents.new_chat.tools.registry import build_tools_async
from app.db import ChatVisibility
from app.services.connector_service import ConnectorService
from app.utils.perf import get_perf_logger
from ..graph.compile_graph_sync import build_compiled_agent_graph_sync
from ..system_prompt import build_main_agent_system_prompt
from ..tools import (
MAIN_AGENT_SURFSENSE_TOOL_NAMES,
MAIN_AGENT_SURFSENSE_TOOL_NAMES_ORDERED,
)
_perf_log = get_perf_logger()

View file

@ -2,6 +2,9 @@
from __future__ import annotations
from .index import MAIN_AGENT_SURFSENSE_TOOL_NAMES, MAIN_AGENT_SURFSENSE_TOOL_NAMES_ORDERED
from .index import (
MAIN_AGENT_SURFSENSE_TOOL_NAMES,
MAIN_AGENT_SURFSENSE_TOOL_NAMES_ORDERED,
)
__all__ = ["MAIN_AGENT_SURFSENSE_TOOL_NAMES", "MAIN_AGENT_SURFSENSE_TOOL_NAMES_ORDERED"]

View file

@ -13,7 +13,9 @@ from .resume import create_generate_resume_tool
from .video_presentation import create_generate_video_presentation_tool
def load_tools(*, dependencies: dict[str, Any] | None = None, **kwargs: Any) -> ToolsPermissions:
def load_tools(
*, dependencies: dict[str, Any] | None = None, **kwargs: Any
) -> ToolsPermissions:
resolved_dependencies = {**(dependencies or {}), **kwargs}
podcast = create_generate_podcast_tool(
search_space_id=resolved_dependencies["search_space_id"],

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@ -10,7 +10,9 @@ from app.db import ChatVisibility
from .update_memory import create_update_memory_tool, create_update_team_memory_tool
def load_tools(*, dependencies: dict[str, Any] | None = None, **kwargs: Any) -> ToolsPermissions:
def load_tools(
*, dependencies: dict[str, Any] | None = None, **kwargs: Any
) -> ToolsPermissions:
resolved_dependencies = {**(dependencies or {}), **kwargs}
if resolved_dependencies.get("thread_visibility") == ChatVisibility.SEARCH_SPACE:
mem = create_update_team_memory_tool(
@ -18,7 +20,10 @@ def load_tools(*, dependencies: dict[str, Any] | None = None, **kwargs: Any) ->
db_session=resolved_dependencies["db_session"],
llm=resolved_dependencies.get("llm"),
)
return {"allow": [{"name": getattr(mem, "name", "") or "", "tool": mem}], "ask": []}
return {
"allow": [{"name": getattr(mem, "name", "") or "", "tool": mem}],
"ask": [],
}
mem = create_update_memory_tool(
user_id=resolved_dependencies["user_id"],
db_session=resolved_dependencies["db_session"],

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@ -11,14 +11,20 @@ from .search_surfsense_docs import create_search_surfsense_docs_tool
from .web_search import create_web_search_tool
def load_tools(*, dependencies: dict[str, Any] | None = None, **kwargs: Any) -> ToolsPermissions:
def load_tools(
*, dependencies: dict[str, Any] | None = None, **kwargs: Any
) -> ToolsPermissions:
resolved_dependencies = {**(dependencies or {}), **kwargs}
web = create_web_search_tool(
search_space_id=resolved_dependencies.get("search_space_id"),
available_connectors=resolved_dependencies.get("available_connectors"),
)
scrape = create_scrape_webpage_tool(firecrawl_api_key=resolved_dependencies.get("firecrawl_api_key"))
docs = create_search_surfsense_docs_tool(db_session=resolved_dependencies["db_session"])
scrape = create_scrape_webpage_tool(
firecrawl_api_key=resolved_dependencies.get("firecrawl_api_key")
)
docs = create_search_surfsense_docs_tool(
db_session=resolved_dependencies["db_session"]
)
return {
"allow": [
{"name": getattr(web, "name", "") or "", "tool": web},

View file

@ -7,6 +7,8 @@ from app.agents.multi_agent_chat.subagents.shared.permissions import (
)
def load_tools(*, dependencies: dict[str, Any] | None = None, **kwargs: Any) -> ToolsPermissions:
def load_tools(
*, dependencies: dict[str, Any] | None = None, **kwargs: Any
) -> ToolsPermissions:
_ = {**(dependencies or {}), **kwargs}
return {"allow": [], "ask": []}

View file

@ -12,7 +12,9 @@ from .search_events import create_search_calendar_events_tool
from .update_event import create_update_calendar_event_tool
def load_tools(*, dependencies: dict[str, Any] | None = None, **kwargs: Any) -> ToolsPermissions:
def load_tools(
*, dependencies: dict[str, Any] | None = None, **kwargs: Any
) -> ToolsPermissions:
resolved_dependencies = {**(dependencies or {}), **kwargs}
session_dependencies = {
"db_session": resolved_dependencies["db_session"],

View file

@ -7,6 +7,8 @@ from app.agents.multi_agent_chat.subagents.shared.permissions import (
)
def load_tools(*, dependencies: dict[str, Any] | None = None, **kwargs: Any) -> ToolsPermissions:
def load_tools(
*, dependencies: dict[str, Any] | None = None, **kwargs: Any
) -> ToolsPermissions:
_ = {**(dependencies or {}), **kwargs}
return {"allow": [], "ask": []}

View file

@ -11,7 +11,9 @@ from .delete_page import create_delete_confluence_page_tool
from .update_page import create_update_confluence_page_tool
def load_tools(*, dependencies: dict[str, Any] | None = None, **kwargs: Any) -> ToolsPermissions:
def load_tools(
*, dependencies: dict[str, Any] | None = None, **kwargs: Any
) -> ToolsPermissions:
resolved_dependencies = {**(dependencies or {}), **kwargs}
session_dependencies = {
"db_session": resolved_dependencies["db_session"],

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@ -11,7 +11,9 @@ from .read_messages import create_read_discord_messages_tool
from .send_message import create_send_discord_message_tool
def load_tools(*, dependencies: dict[str, Any] | None = None, **kwargs: Any) -> ToolsPermissions:
def load_tools(
*, dependencies: dict[str, Any] | None = None, **kwargs: Any
) -> ToolsPermissions:
d = {**(dependencies or {}), **kwargs}
common = {
"db_session": d["db_session"],

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@ -10,7 +10,9 @@ from .create_file import create_create_dropbox_file_tool
from .trash_file import create_delete_dropbox_file_tool
def load_tools(*, dependencies: dict[str, Any] | None = None, **kwargs: Any) -> ToolsPermissions:
def load_tools(
*, dependencies: dict[str, Any] | None = None, **kwargs: Any
) -> ToolsPermissions:
d = {**(dependencies or {}), **kwargs}
common = {
"db_session": d["db_session"],

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@ -14,7 +14,9 @@ from .trash_email import create_trash_gmail_email_tool
from .update_draft import create_update_gmail_draft_tool
def load_tools(*, dependencies: dict[str, Any] | None = None, **kwargs: Any) -> ToolsPermissions:
def load_tools(
*, dependencies: dict[str, Any] | None = None, **kwargs: Any
) -> ToolsPermissions:
d = {**(dependencies or {}), **kwargs}
common = {
"db_session": d["db_session"],

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@ -10,7 +10,9 @@ from .create_file import create_create_google_drive_file_tool
from .trash_file import create_delete_google_drive_file_tool
def load_tools(*, dependencies: dict[str, Any] | None = None, **kwargs: Any) -> ToolsPermissions:
def load_tools(
*, dependencies: dict[str, Any] | None = None, **kwargs: Any
) -> ToolsPermissions:
d = {**(dependencies or {}), **kwargs}
common = {
"db_session": d["db_session"],

View file

@ -11,7 +11,9 @@ from .delete_issue import create_delete_jira_issue_tool
from .update_issue import create_update_jira_issue_tool
def load_tools(*, dependencies: dict[str, Any] | None = None, **kwargs: Any) -> ToolsPermissions:
def load_tools(
*, dependencies: dict[str, Any] | None = None, **kwargs: Any
) -> ToolsPermissions:
d = {**(dependencies or {}), **kwargs}
common = {
"db_session": d["db_session"],

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@ -11,7 +11,9 @@ from .delete_issue import create_delete_linear_issue_tool
from .update_issue import create_update_linear_issue_tool
def load_tools(*, dependencies: dict[str, Any] | None = None, **kwargs: Any) -> ToolsPermissions:
def load_tools(
*, dependencies: dict[str, Any] | None = None, **kwargs: Any
) -> ToolsPermissions:
d = {**(dependencies or {}), **kwargs}
common = {
"db_session": d["db_session"],

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@ -11,7 +11,9 @@ from .list_events import create_list_luma_events_tool
from .read_event import create_read_luma_event_tool
def load_tools(*, dependencies: dict[str, Any] | None = None, **kwargs: Any) -> ToolsPermissions:
def load_tools(
*, dependencies: dict[str, Any] | None = None, **kwargs: Any
) -> ToolsPermissions:
d = {**(dependencies or {}), **kwargs}
common = {
"db_session": d["db_session"],

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@ -11,7 +11,9 @@ from .delete_page import create_delete_notion_page_tool
from .update_page import create_update_notion_page_tool
def load_tools(*, dependencies: dict[str, Any] | None = None, **kwargs: Any) -> ToolsPermissions:
def load_tools(
*, dependencies: dict[str, Any] | None = None, **kwargs: Any
) -> ToolsPermissions:
d = {**(dependencies or {}), **kwargs}
common = {
"db_session": d["db_session"],

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@ -10,7 +10,9 @@ from .create_file import create_create_onedrive_file_tool
from .trash_file import create_delete_onedrive_file_tool
def load_tools(*, dependencies: dict[str, Any] | None = None, **kwargs: Any) -> ToolsPermissions:
def load_tools(
*, dependencies: dict[str, Any] | None = None, **kwargs: Any
) -> ToolsPermissions:
d = {**(dependencies or {}), **kwargs}
common = {
"db_session": d["db_session"],

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@ -7,6 +7,8 @@ from app.agents.multi_agent_chat.subagents.shared.permissions import (
)
def load_tools(*, dependencies: dict[str, Any] | None = None, **kwargs: Any) -> ToolsPermissions:
def load_tools(
*, dependencies: dict[str, Any] | None = None, **kwargs: Any
) -> ToolsPermissions:
_ = {**(dependencies or {}), **kwargs}
return {"allow": [], "ask": []}

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@ -11,7 +11,9 @@ from .read_messages import create_read_teams_messages_tool
from .send_message import create_send_teams_message_tool
def load_tools(*, dependencies: dict[str, Any] | None = None, **kwargs: Any) -> ToolsPermissions:
def load_tools(
*, dependencies: dict[str, Any] | None = None, **kwargs: Any
) -> ToolsPermissions:
d = {**(dependencies or {}), **kwargs}
common = {
"db_session": d["db_session"],

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@ -31,6 +31,7 @@ logger = logging.getLogger(__name__)
## Helper functions for fetching connector metadata maps
async def fetch_mcp_connector_metadata_maps(
session: AsyncSession,
search_space_id: int,
@ -58,6 +59,7 @@ async def fetch_mcp_connector_metadata_maps(
## Helper functions for partitioning tools by connector agent
def partition_mcp_tools_by_connector(
tools: Sequence[BaseTool],
connector_id_to_type: dict[int, str],
@ -104,8 +106,10 @@ def partition_mcp_tools_by_connector(
return dict(buckets)
## Helper functions for splitting tools by permissions
def _get_mcp_tool_name(tool: BaseTool) -> str:
meta: dict[str, Any] = getattr(tool, "metadata", None) or {}
orig = meta.get("mcp_original_tool_name")
@ -139,6 +143,7 @@ def _split_tools_by_permissions(
## Main function to load MCP tools and split them by permissions for each connector agent
async def load_mcp_tools_by_connector(
session: AsyncSession,
search_space_id: int,
@ -148,9 +153,7 @@ async def load_mcp_tools_by_connector(
Pass ``bypass_internal_hitl=True`` so the subagent's
``HumanInTheLoopMiddleware`` is the single HITL gate.
"""
flat = await load_mcp_tools(
session, search_space_id, bypass_internal_hitl=True
)
flat = await load_mcp_tools(session, search_space_id, bypass_internal_hitl=True)
id_map, name_map = await fetch_mcp_connector_metadata_maps(session, search_space_id)
buckets = partition_mcp_tools_by_connector(flat, id_map, name_map)
return {

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@ -8,6 +8,9 @@ from typing import Any, Protocol
from deepagents import SubAgent
from langchain_core.language_models import BaseChatModel
from app.agents.multi_agent_chat.constants import (
SUBAGENT_TO_REQUIRED_CONNECTOR_MAP,
)
from app.agents.multi_agent_chat.subagents.builtins.deliverables.agent import (
build_subagent as build_deliverables_subagent,
)
@ -62,9 +65,6 @@ from app.agents.multi_agent_chat.subagents.connectors.slack.agent import (
from app.agents.multi_agent_chat.subagents.connectors.teams.agent import (
build_subagent as build_teams_subagent,
)
from app.agents.multi_agent_chat.constants import (
SUBAGENT_TO_REQUIRED_CONNECTOR_MAP,
)
from app.agents.multi_agent_chat.subagents.shared.md_file_reader import (
read_md_file,
)
@ -105,6 +105,7 @@ SUBAGENT_BUILDERS_BY_NAME: dict[str, SubagentBuilder] = {
"teams": build_teams_subagent,
}
def _route_resource_package(builder: SubagentBuilder) -> str:
mod = builder.__module__
return mod[: -len(".agent")] if mod.endswith(".agent") else mod.rsplit(".", 1)[0]

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@ -0,0 +1,357 @@
"""TTL-LRU cache for compiled SurfSense deep agents.
Why this exists
---------------
``create_surfsense_deep_agent`` runs a 4-5 second pipeline on EVERY chat
turn:
1. Discover connectors & document types from Postgres (~50-200ms)
2. Build the tool list (built-in + MCP) (~200ms-1.7s)
3. Compose the system prompt
4. Construct ~15 middleware instances (CPU)
5. Eagerly compile the general-purpose subagent
(``SubAgentMiddleware.__init__`` calls ``create_agent`` synchronously,
which builds a second LangGraph + Pydantic schemas ~1.5-2s of pure
CPU work)
6. Compile the outer LangGraph
For a single thread, all six steps produce the SAME object on every turn
unless the user has changed their LLM config, toggled a feature flag,
added a connector, etc. The right answer is to compile ONCE per
"agent shape" and reuse the resulting :class:`CompiledStateGraph` for
every subsequent turn on the same thread.
Why a per-thread key (not a global pool)
----------------------------------------
Most middleware in the SurfSense stack captures per-thread state in
``__init__`` closures (``thread_id``, ``user_id``, ``search_space_id``,
``filesystem_mode``, ``mentioned_document_ids``). Cross-thread reuse
would silently leak state across users and threads. Keying the cache on
``(llm_config_id, thread_id, ...)`` gives us safe reuse for repeated
turns on the same thread without changing any middleware's behavior.
Phase 2 will move those captured fields onto :class:`SurfSenseContextSchema`
(read via ``runtime.context``) so the cache can collapse to a single
``(llm_config_id, search_space_id, ...)`` key shared across threads. Until
then, per-thread keying is the only safe option.
Cache shape
-----------
* TTL-LRU: entries auto-expire after ``ttl_seconds`` (default 1800s, 30
minutes matches a typical chat session). ``maxsize`` (default 256)
caps memory; LRU evicts least-recently-used on overflow.
* In-flight de-duplication: per-key :class:`asyncio.Lock` so concurrent
cold misses on the same key wait for the first build instead of
building N times.
* Process-local: this is an in-memory cache. Multi-replica deployments
pay the build cost once per replica per key. That's fine; the working
set per replica is small (one entry per active thread on that replica).
Telemetry
---------
Every lookup logs ``[agent_cache]`` lines through ``surfsense.perf``:
* ``hit`` cache hit, microseconds-fast
* ``miss`` first build for this key, includes build duration
* ``stale`` entry was found but expired; rebuilt
* ``evict`` LRU eviction (size-limited)
* ``size`` current cache occupancy at lookup time
"""
from __future__ import annotations
import asyncio
import hashlib
import logging
import os
import time
from collections import OrderedDict
from collections.abc import Awaitable, Callable
from dataclasses import dataclass
from typing import Any
from app.utils.perf import get_perf_logger
logger = logging.getLogger(__name__)
_perf_log = get_perf_logger()
# ---------------------------------------------------------------------------
# Public API: signature helpers (cache key components)
# ---------------------------------------------------------------------------
def stable_hash(*parts: Any) -> str:
"""Compute a deterministic SHA1 of the str repr of ``parts``.
Used for cache key components that need a fixed-width representation
(system prompt, tool list, etc.). SHA1 is fine here this is not a
security boundary, just a content fingerprint.
"""
h = hashlib.sha1(usedforsecurity=False)
for p in parts:
h.update(repr(p).encode("utf-8", errors="replace"))
h.update(b"\x1f") # ASCII unit separator between parts
return h.hexdigest()
def tools_signature(
tools: list[Any] | tuple[Any, ...],
*,
available_connectors: list[str] | None,
available_document_types: list[str] | None,
) -> str:
"""Hash the bound-tool surface for cache-key purposes.
The signature changes whenever:
* A tool is added or removed from the bound list (built-in toggles,
MCP tools loaded for the user changes, gating rules flip, etc.).
* The available connectors / document types for the search space
change (new connector added, last connector removed, new document
type indexed). Because :func:`get_connector_gated_tools` derives
``modified_disabled_tools`` from ``available_connectors``, the
tool surface is technically already covered but we hash the
connector list separately so an empty-list "no tools changed"
situation still rotates the key when, say, the user re-adds a
connector that gates a tool we were already not exposing.
Stays stable across:
* Process restarts (tool names + descriptions are static).
* Different replicas (everyone gets the same hash for the same
inputs).
"""
tool_descriptors = sorted(
(getattr(t, "name", repr(t)), getattr(t, "description", "")) for t in tools
)
connectors = sorted(available_connectors or [])
doc_types = sorted(available_document_types or [])
return stable_hash(tool_descriptors, connectors, doc_types)
def flags_signature(flags: Any) -> str:
"""Hash the resolved :class:`AgentFeatureFlags` dataclass.
Frozen dataclasses are deterministically reprable, so a SHA1 of their
repr is a stable fingerprint. Restart safe (flags are read once at
process boot).
"""
return stable_hash(repr(flags))
def system_prompt_hash(system_prompt: str) -> str:
"""Hash a system prompt string. Cheap, ~30µs for typical prompts."""
return hashlib.sha1(
system_prompt.encode("utf-8", errors="replace"),
usedforsecurity=False,
).hexdigest()
# ---------------------------------------------------------------------------
# Cache implementation
# ---------------------------------------------------------------------------
@dataclass
class _Entry:
value: Any
created_at: float
last_used_at: float
class _AgentCache:
"""In-process TTL-LRU cache with per-key in-flight de-duplication.
NOT THREAD-SAFE in the multithreading sense designed for a single
asyncio event loop. Uvicorn runs one event loop per worker process,
so this is fine; multi-worker deployments simply each maintain their
own cache.
"""
def __init__(self, *, maxsize: int, ttl_seconds: float) -> None:
self._maxsize = maxsize
self._ttl = ttl_seconds
self._entries: OrderedDict[str, _Entry] = OrderedDict()
# One lock per key — guards "build" so concurrent cold misses on
# the same key wait for the first build instead of all racing.
self._locks: dict[str, asyncio.Lock] = {}
def _now(self) -> float:
return time.monotonic()
def _is_fresh(self, entry: _Entry) -> bool:
return (self._now() - entry.created_at) < self._ttl
def _evict_if_full(self) -> None:
while len(self._entries) >= self._maxsize:
evicted_key, _ = self._entries.popitem(last=False)
self._locks.pop(evicted_key, None)
_perf_log.info(
"[agent_cache] evict key=%s reason=lru size=%d",
_short(evicted_key),
len(self._entries),
)
def _touch(self, key: str, entry: _Entry) -> None:
entry.last_used_at = self._now()
self._entries.move_to_end(key, last=True)
async def get_or_build(
self,
key: str,
*,
builder: Callable[[], Awaitable[Any]],
) -> Any:
"""Return the cached value for ``key`` or call ``builder()`` to make it.
``builder`` MUST be idempotent concurrent cold misses on the
same key collapse to a single ``builder()`` call (the others
wait on the in-flight lock and observe the populated entry on
wake).
"""
# Fast path: hot hit.
entry = self._entries.get(key)
if entry is not None and self._is_fresh(entry):
self._touch(key, entry)
_perf_log.info(
"[agent_cache] hit key=%s age=%.1fs size=%d",
_short(key),
self._now() - entry.created_at,
len(self._entries),
)
return entry.value
# Stale entry — drop it; rebuild below.
if entry is not None and not self._is_fresh(entry):
_perf_log.info(
"[agent_cache] stale key=%s age=%.1fs ttl=%.0fs",
_short(key),
self._now() - entry.created_at,
self._ttl,
)
self._entries.pop(key, None)
# Slow path: serialize concurrent misses for the same key.
lock = self._locks.setdefault(key, asyncio.Lock())
async with lock:
# Double-check after acquiring the lock — another waiter may
# have populated the entry while we slept.
entry = self._entries.get(key)
if entry is not None and self._is_fresh(entry):
self._touch(key, entry)
_perf_log.info(
"[agent_cache] hit key=%s age=%.1fs size=%d coalesced=true",
_short(key),
self._now() - entry.created_at,
len(self._entries),
)
return entry.value
t0 = time.perf_counter()
try:
value = await builder()
except BaseException:
# Don't cache failed builds; let the next caller retry.
_perf_log.warning(
"[agent_cache] build_failed key=%s elapsed=%.3fs",
_short(key),
time.perf_counter() - t0,
)
raise
elapsed = time.perf_counter() - t0
# Insert + evict.
self._evict_if_full()
now = self._now()
self._entries[key] = _Entry(value=value, created_at=now, last_used_at=now)
self._entries.move_to_end(key, last=True)
_perf_log.info(
"[agent_cache] miss key=%s build=%.3fs size=%d",
_short(key),
elapsed,
len(self._entries),
)
return value
def invalidate(self, key: str) -> bool:
"""Drop a single entry; return True if anything was removed."""
removed = self._entries.pop(key, None) is not None
self._locks.pop(key, None)
if removed:
_perf_log.info(
"[agent_cache] invalidate key=%s size=%d",
_short(key),
len(self._entries),
)
return removed
def invalidate_prefix(self, prefix: str) -> int:
"""Drop every entry whose key starts with ``prefix``. Returns count."""
keys = [k for k in self._entries if k.startswith(prefix)]
for k in keys:
self._entries.pop(k, None)
self._locks.pop(k, None)
if keys:
_perf_log.info(
"[agent_cache] invalidate_prefix prefix=%s removed=%d size=%d",
_short(prefix),
len(keys),
len(self._entries),
)
return len(keys)
def clear(self) -> None:
n = len(self._entries)
self._entries.clear()
self._locks.clear()
if n:
_perf_log.info("[agent_cache] clear removed=%d", n)
def stats(self) -> dict[str, Any]:
return {
"size": len(self._entries),
"maxsize": self._maxsize,
"ttl_seconds": self._ttl,
}
def _short(key: str, n: int = 16) -> str:
"""Truncate keys for log lines so they don't blow up log volume."""
return key if len(key) <= n else f"{key[:n]}..."
# ---------------------------------------------------------------------------
# Module-level singleton
# ---------------------------------------------------------------------------
_DEFAULT_MAXSIZE = int(os.getenv("SURFSENSE_AGENT_CACHE_MAXSIZE", "256"))
_DEFAULT_TTL = float(os.getenv("SURFSENSE_AGENT_CACHE_TTL_SECONDS", "1800"))
_cache: _AgentCache = _AgentCache(maxsize=_DEFAULT_MAXSIZE, ttl_seconds=_DEFAULT_TTL)
def get_cache() -> _AgentCache:
"""Return the process-wide compiled-agent cache singleton."""
return _cache
def reload_for_tests(*, maxsize: int = 256, ttl_seconds: float = 1800.0) -> _AgentCache:
"""Replace the singleton with a fresh cache. Tests only."""
global _cache
_cache = _AgentCache(maxsize=maxsize, ttl_seconds=ttl_seconds)
return _cache
__all__ = [
"flags_signature",
"get_cache",
"reload_for_tests",
"stable_hash",
"system_prompt_hash",
"tools_signature",
]

View file

@ -10,7 +10,9 @@ We use ``create_agent`` (from langchain) rather than ``create_deep_agent``
This lets us swap in ``SurfSenseFilesystemMiddleware`` a customisable
subclass of the default ``FilesystemMiddleware`` while preserving every
other behaviour that ``create_deep_agent`` provides (todo-list, subagents,
summarisation, prompt-caching, etc.).
summarisation, etc.). Prompt caching is configured at LLM-build time via
``apply_litellm_prompt_caching`` (LiteLLM-native, multi-provider) rather
than as a middleware.
"""
import asyncio
@ -33,12 +35,18 @@ from langchain.agents.middleware import (
TodoListMiddleware,
ToolCallLimitMiddleware,
)
from langchain_anthropic.middleware import AnthropicPromptCachingMiddleware
from langchain_core.language_models import BaseChatModel
from langchain_core.tools import BaseTool
from langgraph.types import Checkpointer
from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.agent_cache import (
flags_signature,
get_cache,
stable_hash,
system_prompt_hash,
tools_signature,
)
from app.agents.new_chat.context import SurfSenseContextSchema
from app.agents.new_chat.feature_flags import AgentFeatureFlags, get_flags
from app.agents.new_chat.filesystem_backends import build_backend_resolver
@ -52,6 +60,7 @@ from app.agents.new_chat.middleware import (
DedupHITLToolCallsMiddleware,
DoomLoopMiddleware,
FileIntentMiddleware,
FlattenSystemMessageMiddleware,
KnowledgeBasePersistenceMiddleware,
KnowledgePriorityMiddleware,
KnowledgeTreeMiddleware,
@ -74,6 +83,7 @@ from app.agents.new_chat.plugin_loader import (
load_allowed_plugin_names_from_env,
load_plugin_middlewares,
)
from app.agents.new_chat.prompt_caching import apply_litellm_prompt_caching
from app.agents.new_chat.subagents import build_specialized_subagents
from app.agents.new_chat.system_prompt import (
build_configurable_system_prompt,
@ -94,6 +104,39 @@ from app.utils.perf import get_perf_logger
_perf_log = get_perf_logger()
def _resolve_prompt_model_name(
agent_config: AgentConfig | None,
llm: BaseChatModel,
) -> str | None:
"""Resolve the model id to feed to provider-variant detection.
Preference order (matches the established idiom in
``llm_router_service.py`` see ``params.get("base_model") or
params.get("model", "")`` usages there):
1. ``agent_config.litellm_params["base_model"]`` required for Azure
deployments where ``model_name`` is the deployment slug, not the
underlying family. Without this, a deployment named e.g.
``"prod-chat-001"`` would silently miss every provider regex.
2. ``agent_config.model_name`` the user's configured model id.
3. ``getattr(llm, "model", None)`` fallback for direct callers that
don't supply an ``AgentConfig`` (currently a defensive path; all
production callers pass ``agent_config``).
Returns ``None`` when nothing is available; ``compose_system_prompt``
treats that as the ``"default"`` variant (no provider block emitted).
"""
if agent_config is not None:
params = agent_config.litellm_params or {}
base_model = params.get("base_model")
if isinstance(base_model, str) and base_model.strip():
return base_model
if agent_config.model_name:
return agent_config.model_name
return getattr(llm, "model", None)
# =============================================================================
# Connector Type Mapping
# =============================================================================
@ -279,6 +322,14 @@ async def create_surfsense_deep_agent(
)
"""
_t_agent_total = time.perf_counter()
# Layer thread-aware prompt caching onto the LLM. Idempotent with the
# build-time call in ``llm_config.py``; this run merely adds
# ``prompt_cache_key=f"surfsense-thread-{thread_id}"`` for OpenAI-family
# configs now that ``thread_id`` is known. No-op when ``thread_id`` is
# None or the provider is non-OpenAI-family.
apply_litellm_prompt_caching(llm, agent_config=agent_config, thread_id=thread_id)
filesystem_selection = filesystem_selection or FilesystemSelection()
backend_resolver = build_backend_resolver(
filesystem_selection,
@ -287,23 +338,39 @@ async def create_surfsense_deep_agent(
else None,
)
# Discover available connectors and document types for this search space
# Discover available connectors and document types for this search space.
#
# NOTE: These two calls cannot be parallelized via ``asyncio.gather``.
# ``ConnectorService`` shares a single ``AsyncSession`` (``self.session``);
# SQLAlchemy explicitly forbids concurrent operations on the same session
# ("This session is provisioning a new connection; concurrent operations
# are not permitted on the same session"). The Phase 1.4 in-process TTL
# cache in ``connector_service`` already collapses the warm path to a
# near-zero pair of dict lookups, so sequential awaits cost nothing in
# the common case while remaining correct on cold cache misses.
available_connectors: list[str] | None = None
available_document_types: list[str] | None = None
_t0 = time.perf_counter()
try:
connector_types = await connector_service.get_available_connectors(
search_space_id
)
if connector_types:
available_connectors = _map_connectors_to_searchable_types(connector_types)
try:
connector_types_result = await connector_service.get_available_connectors(
search_space_id
)
if connector_types_result:
available_connectors = _map_connectors_to_searchable_types(
connector_types_result
)
except Exception as e:
logging.warning("Failed to discover available connectors: %s", e)
available_document_types = await connector_service.get_available_document_types(
search_space_id
)
except Exception as e:
try:
available_document_types = (
await connector_service.get_available_document_types(search_space_id)
)
except Exception as e:
logging.warning("Failed to discover available document types: %s", e)
except Exception as e: # pragma: no cover - defensive outer guard
logging.warning(f"Failed to discover available connectors/document types: {e}")
_perf_log.info(
"[create_agent] Connector/doc-type discovery in %.3fs",
@ -398,6 +465,7 @@ async def create_surfsense_deep_agent(
enabled_tool_names=_enabled_tool_names,
disabled_tool_names=_user_disabled_tool_names,
mcp_connector_tools=_mcp_connector_tools,
model_name=_resolve_prompt_model_name(agent_config, llm),
)
else:
system_prompt = build_surfsense_system_prompt(
@ -405,6 +473,7 @@ async def create_surfsense_deep_agent(
enabled_tool_names=_enabled_tool_names,
disabled_tool_names=_user_disabled_tool_names,
mcp_connector_tools=_mcp_connector_tools,
model_name=_resolve_prompt_model_name(agent_config, llm),
)
_perf_log.info(
"[create_agent] System prompt built in %.3fs", time.perf_counter() - _t0
@ -424,29 +493,77 @@ async def create_surfsense_deep_agent(
# entire middleware build + main-graph compile into a single
# ``asyncio.to_thread`` so the heavy CPU work runs off-loop and the
# event loop stays responsive.
#
# PHASE 1: cache the resulting compiled graph. ``agent_cache`` is keyed
# on every per-request value that any middleware in the stack closes
# over in ``__init__`` — drop one and you risk leaking state across
# threads. Hits collapse this whole block to a microsecond lookup;
# misses pay the original CPU cost AND populate the cache.
config_id = agent_config.config_id if agent_config is not None else None
async def _build_agent() -> Any:
return await asyncio.to_thread(
_build_compiled_agent_blocking,
llm=llm,
tools=tools,
final_system_prompt=final_system_prompt,
backend_resolver=backend_resolver,
filesystem_mode=filesystem_selection.mode,
search_space_id=search_space_id,
user_id=user_id,
thread_id=thread_id,
visibility=visibility,
anon_session_id=anon_session_id,
available_connectors=available_connectors,
available_document_types=available_document_types,
# ``mentioned_document_ids`` is consumed by
# ``KnowledgePriorityMiddleware`` per turn via
# ``runtime.context`` (Phase 1.5). We still pass the
# caller-provided list here for the legacy fallback path
# (cache disabled / context not propagated) — the middleware
# drains its own copy after the first read so a cached graph
# never replays stale mentions.
mentioned_document_ids=mentioned_document_ids,
max_input_tokens=_max_input_tokens,
flags=_flags,
checkpointer=checkpointer,
)
_t0 = time.perf_counter()
agent = await asyncio.to_thread(
_build_compiled_agent_blocking,
llm=llm,
tools=tools,
final_system_prompt=final_system_prompt,
backend_resolver=backend_resolver,
filesystem_mode=filesystem_selection.mode,
search_space_id=search_space_id,
user_id=user_id,
thread_id=thread_id,
visibility=visibility,
anon_session_id=anon_session_id,
available_connectors=available_connectors,
available_document_types=available_document_types,
mentioned_document_ids=mentioned_document_ids,
max_input_tokens=_max_input_tokens,
flags=_flags,
checkpointer=checkpointer,
)
if _flags.enable_agent_cache and not _flags.disable_new_agent_stack:
# Cache key components — order matters only for human readability;
# the resulting hash is what's stored. Every component must
# rotate on a real shape change AND stay stable across identical
# invocations.
cache_key = stable_hash(
"v1", # schema version of the key — bump if components change
config_id,
thread_id,
user_id,
search_space_id,
visibility,
filesystem_selection.mode,
anon_session_id,
tools_signature(
tools,
available_connectors=available_connectors,
available_document_types=available_document_types,
),
flags_signature(_flags),
system_prompt_hash(final_system_prompt),
_max_input_tokens,
# ``mentioned_document_ids`` deliberately omitted — middleware
# reads it from ``runtime.context`` (Phase 1.5).
)
agent = await get_cache().get_or_build(cache_key, builder=_build_agent)
else:
agent = await _build_agent()
_perf_log.info(
"[create_agent] Middleware stack + graph compiled in %.3fs",
"[create_agent] Middleware stack + graph compiled in %.3fs (cache=%s)",
time.perf_counter() - _t0,
"on"
if _flags.enable_agent_cache and not _flags.disable_new_agent_stack
else "off",
)
_perf_log.info(
@ -568,7 +685,6 @@ def _build_compiled_agent_blocking(
),
create_surfsense_compaction_middleware(llm, StateBackend),
PatchToolCallsMiddleware(),
AnthropicPromptCachingMiddleware(unsupported_model_behavior="ignore"),
]
general_purpose_spec: SubAgent = { # type: ignore[typeddict-unknown-key]
@ -998,6 +1114,14 @@ def _build_compiled_agent_blocking(
noop_mw,
retry_mw,
fallback_mw,
# Coalesce a multi-text-block system message into one block
# immediately before the model call. Sits innermost on the
# system-message-mutation chain so it observes every appender
# (todo / filesystem / skills / subagents …) and prevents
# OpenRouter→Anthropic from redistributing ``cache_control``
# across N blocks and tripping Anthropic's 4-breakpoint cap.
# See ``middleware/flatten_system.py`` for full rationale.
FlattenSystemMessageMiddleware(),
# Tool-call repair must run after model emits but before
# permission / dedup / doom-loop interpret the calls.
repair_mw,
@ -1010,12 +1134,12 @@ def _build_compiled_agent_blocking(
action_log_mw,
PatchToolCallsMiddleware(),
DedupHITLToolCallsMiddleware(agent_tools=list(tools)),
# Plugin slot — sits just before AnthropicCache so plugin-side
# transforms see the final tool result and run before any
# caching heuristics. Multiple plugins in declared order; loader
# filtered by the admin allowlist already.
# Plugin slot — sits at the tail so plugin-side transforms see the
# final tool result. Prompt caching is now applied at LLM build time
# via ``apply_litellm_prompt_caching`` (see prompt_caching.py), so no
# caching middleware is needed here. Multiple plugins run in declared
# order; loader filtered by the admin allowlist already.
*plugin_middlewares,
AnthropicPromptCachingMiddleware(unsupported_model_behavior="ignore"),
]
deepagent_middleware = [m for m in deepagent_middleware if m is not None]

View file

@ -1,10 +1,25 @@
"""
Context schema definitions for SurfSense agents.
This module defines the custom state schema used by the SurfSense deep agent.
This module defines the per-invocation context object passed to the SurfSense
deep agent via ``agent.astream_events(..., context=ctx)`` (LangGraph >= 0.6).
The agent's compiled graph is the same across invocations (and cached by
``agent_cache``), so anything that varies per turn the user mentions a
specific document, the front-end issues a unique ``request_id``, etc.
MUST live on this context object instead of being captured into a
middleware ``__init__`` closure. Middlewares read fields back via
``runtime.context.<field>``; tools read them via ``runtime.context``.
This object is read inside both ``KnowledgePriorityMiddleware`` (for
``mentioned_document_ids``) and any future middleware that needs
per-request state without invalidating the compiled-agent cache.
"""
from typing import NotRequired, TypedDict
from __future__ import annotations
from dataclasses import dataclass, field
from typing import TypedDict
class FileOperationContractState(TypedDict):
@ -15,25 +30,35 @@ class FileOperationContractState(TypedDict):
turn_id: str
class SurfSenseContextSchema(TypedDict):
@dataclass
class SurfSenseContextSchema:
"""
Custom state schema for the SurfSense deep agent.
Per-invocation context for the SurfSense deep agent.
This extends the default agent state with custom fields.
The default state already includes:
- messages: Conversation history
- todos: Task list from TodoListMiddleware
- files: Virtual filesystem from FilesystemMiddleware
Defaults are chosen so the dataclass can be safely default-constructed
(LangGraph's ``Runtime.context`` itself defaults to ``None`` if no
context is supplied see ``langgraph.runtime.Runtime``). All fields
are optional; consumers must None-check before reading.
We're adding fields needed for knowledge base search:
- search_space_id: The user's search space ID
- db_session: Database session (injected at runtime)
- connector_service: Connector service instance (injected at runtime)
Phase 1.5 fields:
search_space_id: Search space the request is scoped to.
mentioned_document_ids: KB documents the user @-mentioned this turn.
Read by ``KnowledgePriorityMiddleware`` to seed its priority
list. Stays out of the compiled-agent cache key that's the
whole point of putting it here.
file_operation_contract: One-shot file operation contract emitted
by ``FileIntentMiddleware`` for the upcoming turn.
turn_id / request_id: Correlation IDs surfaced by the streaming
task; populated for telemetry.
Phase 2 will extend with: thread_id, user_id, visibility,
filesystem_mode, anon_session_id, available_connectors,
available_document_types, created_by_id (everything currently captured
by middleware ``__init__`` closures).
"""
search_space_id: int
file_operation_contract: NotRequired[FileOperationContractState]
turn_id: NotRequired[str]
request_id: NotRequired[str]
# These are runtime-injected and won't be serialized
# db_session and connector_service are passed when invoking the agent
search_space_id: int | None = None
mentioned_document_ids: list[int] = field(default_factory=list)
file_operation_contract: FileOperationContractState | None = None
turn_id: str | None = None
request_id: str | None = None

View file

@ -3,8 +3,10 @@ Feature flags for the SurfSense new_chat agent stack.
These flags gate the newer agent middleware (some ported from OpenCode,
some sourced from ``langchain.agents.middleware`` / ``deepagents``, some
SurfSense-native). They follow a "default-OFF for risky things,
default-ON for safe upgrades, master kill-switch for everything new" model.
SurfSense-native). Most shipped agent-stack upgrades default ON so Docker
image updates work even when older installs do not have newly introduced
environment variables. Risky/experimental integrations stay default OFF,
and the master kill-switch can still disable everything new.
All new middleware checks its flag at agent build time. If the master
kill-switch ``SURFSENSE_DISABLE_NEW_AGENT_STACK`` is set, every new
@ -14,16 +16,19 @@ operators a single switch to revert to pre-port behavior.
Examples
--------
Local development (recommended for trying everything except doom-loop / selector):
Defaults:
SURFSENSE_ENABLE_CONTEXT_EDITING=true
SURFSENSE_ENABLE_COMPACTION_V2=true
SURFSENSE_ENABLE_RETRY_AFTER=true
SURFSENSE_ENABLE_MODEL_FALLBACK=false
SURFSENSE_ENABLE_MODEL_CALL_LIMIT=true
SURFSENSE_ENABLE_TOOL_CALL_LIMIT=true
SURFSENSE_ENABLE_TOOL_CALL_REPAIR=true
SURFSENSE_ENABLE_PERMISSION=false # default off, opt-in per deploy
SURFSENSE_ENABLE_DOOM_LOOP=false # default off until UI ships
SURFSENSE_ENABLE_LLM_TOOL_SELECTOR=false
SURFSENSE_ENABLE_STREAM_PARITY_V2=false # structured streaming events
SURFSENSE_ENABLE_PERMISSION=true
SURFSENSE_ENABLE_DOOM_LOOP=true
SURFSENSE_ENABLE_LLM_TOOL_SELECTOR=false # adds a per-turn LLM call
SURFSENSE_ENABLE_STREAM_PARITY_V2=true
Master kill-switch (overrides everything else):
@ -60,32 +65,28 @@ class AgentFeatureFlags:
disable_new_agent_stack: bool = False
# Agent quality — context budget, retry/limits, name-repair, doom-loop
enable_context_editing: bool = False
enable_compaction_v2: bool = False
enable_retry_after: bool = False
enable_context_editing: bool = True
enable_compaction_v2: bool = True
enable_retry_after: bool = True
enable_model_fallback: bool = False
enable_model_call_limit: bool = False
enable_tool_call_limit: bool = False
enable_tool_call_repair: bool = False
enable_doom_loop: bool = (
False # Default OFF until UI handles permission='doom_loop'
)
enable_model_call_limit: bool = True
enable_tool_call_limit: bool = True
enable_tool_call_repair: bool = True
enable_doom_loop: bool = True
# Safety — permissions, concurrency, tool-set narrowing
enable_permission: bool = False # Default OFF for first deploy
enable_busy_mutex: bool = False
enable_permission: bool = True
enable_busy_mutex: bool = True
enable_llm_tool_selector: bool = False # Default OFF — adds per-turn LLM cost
# Skills + subagents
enable_skills: bool = False
enable_specialized_subagents: bool = False
enable_kb_planner_runnable: bool = False
enable_skills: bool = True
enable_specialized_subagents: bool = True
enable_kb_planner_runnable: bool = True
# Snapshot / revert
enable_action_log: bool = False
enable_revert_route: bool = (
False # Backend ships before UI; route returns 503 until this flips
)
enable_action_log: bool = True
enable_revert_route: bool = True
# Streaming parity v2 — opt in to LangChain's structured
# ``AIMessageChunk`` content (typed reasoning blocks, tool-input
@ -94,7 +95,7 @@ class AgentFeatureFlags:
# text path and the synthetic ``call_<run_id>`` tool-call id (no
# ``langchainToolCallId`` propagation). Schema migrations 135/136
# ship unconditionally because they're forward-compatible.
enable_stream_parity_v2: bool = False
enable_stream_parity_v2: bool = True
# Plugins
enable_plugin_loader: bool = False
@ -102,6 +103,41 @@ class AgentFeatureFlags:
# Observability — OTel (orthogonal; also requires OTEL_EXPORTER_OTLP_ENDPOINT)
enable_otel: bool = False
# Performance — compiled-agent cache (Phase 1 + Phase 2).
# When ON, ``create_surfsense_deep_agent`` reuses a previously-compiled
# graph if the cache key matches (LLM config + thread + tool surface +
# flags + system prompt + filesystem mode). Cuts per-turn agent-build
# wall clock from ~4-5s to <50µs on cache hits.
#
# SAFETY (Phase 2 unblocked this default-on):
# All connector mutation tools (``tools/notion``, ``tools/gmail``,
# ``tools/google_drive``, ``tools/dropbox``, ``tools/onedrive``,
# ``tools/google_calendar``, ``tools/confluence``, ``tools/discord``,
# ``tools/teams``, ``tools/luma``, ``connected_accounts``,
# ``update_memory``, ``search_surfsense_docs``) now acquire fresh
# short-lived ``AsyncSession`` instances per call via
# :data:`async_session_maker`. The factory still accepts ``db_session``
# for registry compatibility but ``del``'s it immediately — see any
# of those files' factory docstrings for the rationale. The ``llm``
# closure is per-(provider, model, config_id) which is already in
# the cache key, so the LLM is safe to share across cached hits of
# the same key. The KB priority middleware reads
# ``mentioned_document_ids`` from ``runtime.context`` (Phase 1.5),
# not its constructor closure, so the same compiled agent serves
# turns with different mention lists correctly.
#
# Rollback: set ``SURFSENSE_ENABLE_AGENT_CACHE=false`` in the
# environment if a regression surfaces. The path is exercised by
# the ``tests/unit/agents/new_chat/test_agent_cache_*`` suite.
enable_agent_cache: bool = True
# Phase 1 (deferred — measure first): pre-build & share the
# general-purpose subagent ``CompiledSubAgent`` across cold-cache
# misses. Only helps when the outer cache MISSES (cache hits already
# reuse the entire SubAgentMiddleware-compiled graph). Off by default
# until we have data showing cold misses are frequent enough to
# justify the extra global state.
enable_agent_cache_share_gp_subagent: bool = False
@classmethod
def from_env(cls) -> AgentFeatureFlags:
"""Read flags from environment.
@ -115,48 +151,76 @@ class AgentFeatureFlags:
"SURFSENSE_DISABLE_NEW_AGENT_STACK is set: every new agent "
"middleware is forced OFF for this build."
)
return cls(disable_new_agent_stack=True)
return cls(
disable_new_agent_stack=True,
enable_context_editing=False,
enable_compaction_v2=False,
enable_retry_after=False,
enable_model_fallback=False,
enable_model_call_limit=False,
enable_tool_call_limit=False,
enable_tool_call_repair=False,
enable_doom_loop=False,
enable_permission=False,
enable_busy_mutex=False,
enable_llm_tool_selector=False,
enable_skills=False,
enable_specialized_subagents=False,
enable_kb_planner_runnable=False,
enable_action_log=False,
enable_revert_route=False,
enable_stream_parity_v2=False,
enable_plugin_loader=False,
enable_otel=False,
enable_agent_cache=False,
enable_agent_cache_share_gp_subagent=False,
)
return cls(
disable_new_agent_stack=False,
# Agent quality
enable_context_editing=_env_bool("SURFSENSE_ENABLE_CONTEXT_EDITING", False),
enable_compaction_v2=_env_bool("SURFSENSE_ENABLE_COMPACTION_V2", False),
enable_retry_after=_env_bool("SURFSENSE_ENABLE_RETRY_AFTER", False),
enable_context_editing=_env_bool("SURFSENSE_ENABLE_CONTEXT_EDITING", True),
enable_compaction_v2=_env_bool("SURFSENSE_ENABLE_COMPACTION_V2", True),
enable_retry_after=_env_bool("SURFSENSE_ENABLE_RETRY_AFTER", True),
enable_model_fallback=_env_bool("SURFSENSE_ENABLE_MODEL_FALLBACK", False),
enable_model_call_limit=_env_bool(
"SURFSENSE_ENABLE_MODEL_CALL_LIMIT", False
"SURFSENSE_ENABLE_MODEL_CALL_LIMIT", True
),
enable_tool_call_limit=_env_bool("SURFSENSE_ENABLE_TOOL_CALL_LIMIT", False),
enable_tool_call_limit=_env_bool("SURFSENSE_ENABLE_TOOL_CALL_LIMIT", True),
enable_tool_call_repair=_env_bool(
"SURFSENSE_ENABLE_TOOL_CALL_REPAIR", False
"SURFSENSE_ENABLE_TOOL_CALL_REPAIR", True
),
enable_doom_loop=_env_bool("SURFSENSE_ENABLE_DOOM_LOOP", False),
enable_doom_loop=_env_bool("SURFSENSE_ENABLE_DOOM_LOOP", True),
# Safety
enable_permission=_env_bool("SURFSENSE_ENABLE_PERMISSION", False),
enable_busy_mutex=_env_bool("SURFSENSE_ENABLE_BUSY_MUTEX", False),
enable_permission=_env_bool("SURFSENSE_ENABLE_PERMISSION", True),
enable_busy_mutex=_env_bool("SURFSENSE_ENABLE_BUSY_MUTEX", True),
enable_llm_tool_selector=_env_bool(
"SURFSENSE_ENABLE_LLM_TOOL_SELECTOR", False
),
# Skills + subagents
enable_skills=_env_bool("SURFSENSE_ENABLE_SKILLS", False),
enable_skills=_env_bool("SURFSENSE_ENABLE_SKILLS", True),
enable_specialized_subagents=_env_bool(
"SURFSENSE_ENABLE_SPECIALIZED_SUBAGENTS", False
"SURFSENSE_ENABLE_SPECIALIZED_SUBAGENTS", True
),
enable_kb_planner_runnable=_env_bool(
"SURFSENSE_ENABLE_KB_PLANNER_RUNNABLE", False
"SURFSENSE_ENABLE_KB_PLANNER_RUNNABLE", True
),
# Snapshot / revert
enable_action_log=_env_bool("SURFSENSE_ENABLE_ACTION_LOG", False),
enable_revert_route=_env_bool("SURFSENSE_ENABLE_REVERT_ROUTE", False),
enable_action_log=_env_bool("SURFSENSE_ENABLE_ACTION_LOG", True),
enable_revert_route=_env_bool("SURFSENSE_ENABLE_REVERT_ROUTE", True),
# Streaming parity v2
enable_stream_parity_v2=_env_bool(
"SURFSENSE_ENABLE_STREAM_PARITY_V2", False
"SURFSENSE_ENABLE_STREAM_PARITY_V2", True
),
# Plugins
enable_plugin_loader=_env_bool("SURFSENSE_ENABLE_PLUGIN_LOADER", False),
# Observability
enable_otel=_env_bool("SURFSENSE_ENABLE_OTEL", False),
# Performance
enable_agent_cache=_env_bool("SURFSENSE_ENABLE_AGENT_CACHE", True),
enable_agent_cache_share_gp_subagent=_env_bool(
"SURFSENSE_ENABLE_AGENT_CACHE_SHARE_GP_SUBAGENT", False
),
)
def any_new_middleware_enabled(self) -> bool:

View file

@ -27,6 +27,7 @@ from litellm import get_model_info
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.prompt_caching import apply_litellm_prompt_caching
from app.services.llm_router_service import (
AUTO_MODE_ID,
ChatLiteLLMRouter,
@ -89,41 +90,18 @@ class SanitizedChatLiteLLM(ChatLiteLLM):
yield chunk
# Provider mapping for LiteLLM model string construction
PROVIDER_MAP = {
"OPENAI": "openai",
"ANTHROPIC": "anthropic",
"GROQ": "groq",
"COHERE": "cohere",
"GOOGLE": "gemini",
"OLLAMA": "ollama_chat",
"MISTRAL": "mistral",
"AZURE_OPENAI": "azure",
"OPENROUTER": "openrouter",
"XAI": "xai",
"BEDROCK": "bedrock",
"VERTEX_AI": "vertex_ai",
"TOGETHER_AI": "together_ai",
"FIREWORKS_AI": "fireworks_ai",
"DEEPSEEK": "openai",
"ALIBABA_QWEN": "openai",
"MOONSHOT": "openai",
"ZHIPU": "openai",
"GITHUB_MODELS": "github",
"REPLICATE": "replicate",
"PERPLEXITY": "perplexity",
"ANYSCALE": "anyscale",
"DEEPINFRA": "deepinfra",
"CEREBRAS": "cerebras",
"SAMBANOVA": "sambanova",
"AI21": "ai21",
"CLOUDFLARE": "cloudflare",
"DATABRICKS": "databricks",
"COMETAPI": "cometapi",
"HUGGINGFACE": "huggingface",
"MINIMAX": "openai",
"CUSTOM": "custom",
}
# Provider mapping for LiteLLM model string construction.
#
# Single source of truth lives in
# :mod:`app.services.provider_capabilities` so the YAML loader (which
# runs during ``app.config`` class-body init) can resolve provider
# prefixes without dragging the agent / tools tree into module load
# order. Re-exported here under the historical ``PROVIDER_MAP`` name
# so existing callers (``llm_router_service``, ``image_gen_router_service``,
# tests) keep working unchanged.
from app.services.provider_capabilities import ( # noqa: E402
_PROVIDER_PREFIX_MAP as PROVIDER_MAP,
)
def _attach_model_profile(llm: ChatLiteLLM, model_string: str) -> None:
@ -177,6 +155,17 @@ class AgentConfig:
anonymous_enabled: bool = False
quota_reserve_tokens: int | None = None
# Capability flag: best-effort True for the chat selector / catalog.
# Resolved via :func:`provider_capabilities.derive_supports_image_input`
# which prefers OpenRouter's ``architecture.input_modalities`` and
# otherwise consults LiteLLM's authoritative model map. Default True
# is the conservative-allow stance — the streaming-task safety net
# (``is_known_text_only_chat_model``) is the *only* place a False
# actually blocks a request. Setting this to False here without an
# authoritative source would silently hide vision-capable models
# (the regression we're fixing).
supports_image_input: bool = True
@classmethod
def from_auto_mode(cls) -> "AgentConfig":
"""
@ -202,6 +191,12 @@ class AgentConfig:
is_premium=False,
anonymous_enabled=False,
quota_reserve_tokens=None,
# Auto routes across the configured pool, which usually
# contains at least one vision-capable deployment; the router
# will surface a 404 from a non-vision deployment as a normal
# ``allowed_fails`` event and fail over rather than blocking
# the request outright.
supports_image_input=True,
)
@classmethod
@ -215,10 +210,24 @@ class AgentConfig:
Returns:
AgentConfig instance
"""
return cls(
provider=config.provider.value
# Lazy import to avoid pulling provider_capabilities (and its
# transitive litellm import) into module-init order.
from app.services.provider_capabilities import derive_supports_image_input
provider_value = (
config.provider.value
if hasattr(config.provider, "value")
else str(config.provider),
else str(config.provider)
)
litellm_params = config.litellm_params or {}
base_model = (
litellm_params.get("base_model")
if isinstance(litellm_params, dict)
else None
)
return cls(
provider=provider_value,
model_name=config.model_name,
api_key=config.api_key,
api_base=config.api_base,
@ -234,6 +243,16 @@ class AgentConfig:
is_premium=False,
anonymous_enabled=False,
quota_reserve_tokens=None,
# BYOK rows have no operator-curated capability flag, so we
# ask LiteLLM (default-allow on unknown). The streaming
# safety net still blocks if the model is *explicitly*
# marked text-only.
supports_image_input=derive_supports_image_input(
provider=provider_value,
model_name=config.model_name,
base_model=base_model,
custom_provider=config.custom_provider,
),
)
@classmethod
@ -252,15 +271,46 @@ class AgentConfig:
Returns:
AgentConfig instance
"""
# Lazy import to avoid pulling provider_capabilities (and its
# transitive litellm import) into module-init order.
from app.services.provider_capabilities import derive_supports_image_input
# Get system instructions from YAML, default to empty string
system_instructions = yaml_config.get("system_instructions", "")
provider = yaml_config.get("provider", "").upper()
model_name = yaml_config.get("model_name", "")
custom_provider = yaml_config.get("custom_provider")
litellm_params = yaml_config.get("litellm_params") or {}
base_model = (
litellm_params.get("base_model")
if isinstance(litellm_params, dict)
else None
)
# Explicit YAML override wins; otherwise derive from LiteLLM /
# OpenRouter modalities. The YAML loader already populates this
# field, but this method is also called from
# ``load_global_llm_config_by_id``'s file fallback (hot reload),
# so we re-derive here for safety. The bool() coercion preserves
# the loader's behaviour for explicit ``true`` / ``false``
# strings that PyYAML may surface.
if "supports_image_input" in yaml_config:
supports_image_input = bool(yaml_config.get("supports_image_input"))
else:
supports_image_input = derive_supports_image_input(
provider=provider,
model_name=model_name,
base_model=base_model,
custom_provider=custom_provider,
)
return cls(
provider=yaml_config.get("provider", "").upper(),
model_name=yaml_config.get("model_name", ""),
provider=provider,
model_name=model_name,
api_key=yaml_config.get("api_key", ""),
api_base=yaml_config.get("api_base"),
custom_provider=yaml_config.get("custom_provider"),
custom_provider=custom_provider,
litellm_params=yaml_config.get("litellm_params"),
# Prompt configuration from YAML (with defaults for backwards compatibility)
system_instructions=system_instructions if system_instructions else None,
@ -275,6 +325,7 @@ class AgentConfig:
is_premium=yaml_config.get("billing_tier", "free") == "premium",
anonymous_enabled=yaml_config.get("anonymous_enabled", False),
quota_reserve_tokens=yaml_config.get("quota_reserve_tokens"),
supports_image_input=supports_image_input,
)
@ -494,6 +545,11 @@ def create_chat_litellm_from_config(llm_config: dict) -> ChatLiteLLM | None:
llm = SanitizedChatLiteLLM(**litellm_kwargs)
_attach_model_profile(llm, model_string)
# Configure LiteLLM-native prompt caching (cache_control_injection_points
# for Anthropic/Bedrock/Vertex/Gemini/Azure-AI/OpenRouter/Databricks/etc.).
# ``agent_config=None`` here — the YAML path doesn't have provider intent
# in a structured form, so we set only the universal injection points.
apply_litellm_prompt_caching(llm)
return llm
@ -518,7 +574,16 @@ def create_chat_litellm_from_agent_config(
print("Error: Auto mode requested but LLM Router not initialized")
return None
try:
return get_auto_mode_llm()
router_llm = get_auto_mode_llm()
if router_llm is not None:
# Universal cache_control_injection_points only — auto-mode
# fans out across providers, so OpenAI-only kwargs (e.g.
# ``prompt_cache_key``) are left off here. ``drop_params``
# would strip them at the provider boundary anyway, but
# there's no point setting them when we don't know the
# destination.
apply_litellm_prompt_caching(router_llm, agent_config=agent_config)
return router_llm
except Exception as e:
print(f"Error creating ChatLiteLLMRouter: {e}")
return None
@ -549,4 +614,9 @@ def create_chat_litellm_from_agent_config(
llm = SanitizedChatLiteLLM(**litellm_kwargs)
_attach_model_profile(llm, model_string)
# Build-time prompt caching: sets ``cache_control_injection_points`` for
# all providers and (for OpenAI/DeepSeek/xAI) ``prompt_cache_retention``.
# Per-thread ``prompt_cache_key`` is layered on later in
# ``create_surfsense_deep_agent`` once ``thread_id`` is known.
apply_litellm_prompt_caching(llm, agent_config=agent_config)
return llm

View file

@ -24,6 +24,9 @@ from app.agents.new_chat.middleware.file_intent import (
from app.agents.new_chat.middleware.filesystem import (
SurfSenseFilesystemMiddleware,
)
from app.agents.new_chat.middleware.flatten_system import (
FlattenSystemMessageMiddleware,
)
from app.agents.new_chat.middleware.kb_persistence import (
KnowledgeBasePersistenceMiddleware,
commit_staged_filesystem_state,
@ -61,6 +64,7 @@ __all__ = [
"DedupHITLToolCallsMiddleware",
"DoomLoopMiddleware",
"FileIntentMiddleware",
"FlattenSystemMessageMiddleware",
"KnowledgeBasePersistenceMiddleware",
"KnowledgeBaseSearchMiddleware",
"KnowledgePriorityMiddleware",

View file

@ -33,6 +33,7 @@ from __future__ import annotations
import asyncio
import logging
import time
import weakref
from typing import Any
@ -58,6 +59,11 @@ class _ThreadLockManager:
weakref.WeakValueDictionary()
)
self._cancel_events: dict[str, asyncio.Event] = {}
self._cancel_requested_at_ms: dict[str, int] = {}
self._cancel_attempt_count: dict[str, int] = {}
# Monotonic per-thread epoch used to prevent stale middleware
# teardown from releasing a newer turn's lock.
self._turn_epoch: dict[str, int] = {}
def lock_for(self, thread_id: str) -> asyncio.Lock:
lock = self._locks.get(thread_id)
@ -76,14 +82,57 @@ class _ThreadLockManager:
def request_cancel(self, thread_id: str) -> bool:
event = self._cancel_events.get(thread_id)
if event is None:
return False
event = asyncio.Event()
self._cancel_events[thread_id] = event
event.set()
now_ms = int(time.time() * 1000)
self._cancel_requested_at_ms[thread_id] = now_ms
self._cancel_attempt_count[thread_id] = (
self._cancel_attempt_count.get(thread_id, 0) + 1
)
return True
def is_cancel_requested(self, thread_id: str) -> bool:
event = self._cancel_events.get(thread_id)
return bool(event and event.is_set())
def cancel_state(self, thread_id: str) -> tuple[int, int] | None:
if not self.is_cancel_requested(thread_id):
return None
attempts = self._cancel_attempt_count.get(thread_id, 1)
requested_at_ms = self._cancel_requested_at_ms.get(thread_id, 0)
return attempts, requested_at_ms
def reset(self, thread_id: str) -> None:
event = self._cancel_events.get(thread_id)
if event is not None:
event.clear()
self._cancel_requested_at_ms.pop(thread_id, None)
self._cancel_attempt_count.pop(thread_id, None)
def bump_turn_epoch(self, thread_id: str) -> int:
epoch = self._turn_epoch.get(thread_id, 0) + 1
self._turn_epoch[thread_id] = epoch
return epoch
def current_turn_epoch(self, thread_id: str) -> int:
return self._turn_epoch.get(thread_id, 0)
def end_turn(self, thread_id: str) -> None:
"""Best-effort terminal cleanup for a thread turn.
This is intentionally idempotent and safe to call from outer stream
finally-blocks where middleware teardown might be skipped due to abort
or disconnect edge-cases.
"""
# Invalidate any in-flight middleware holder first. This guarantees a
# stale ``aafter_agent`` from an older attempt cannot unlock a newer
# retry that already acquired the lock for the same thread.
self.bump_turn_epoch(thread_id)
lock = self._locks.get(thread_id)
if lock is not None and lock.locked():
lock.release()
self.reset(thread_id)
def release(self, thread_id: str) -> bool:
"""Force-release the per-thread lock; safety-net for turns that end before ``__end__``.
@ -115,18 +164,28 @@ def get_cancel_event(thread_id: str) -> asyncio.Event:
def request_cancel(thread_id: str) -> bool:
"""Trip the cancel event for ``thread_id``. Returns True if found."""
"""Trip the cancel event for ``thread_id``. Always returns True."""
return manager.request_cancel(thread_id)
def is_cancel_requested(thread_id: str) -> bool:
"""Return whether ``thread_id`` currently has a pending cancel signal."""
return manager.is_cancel_requested(thread_id)
def get_cancel_state(thread_id: str) -> tuple[int, int] | None:
"""Return ``(attempt_count, requested_at_ms)`` for pending cancel state."""
return manager.cancel_state(thread_id)
def reset_cancel(thread_id: str) -> None:
"""Reset the cancel event for ``thread_id`` (called between turns)."""
manager.reset(thread_id)
def release_lock(thread_id: str) -> bool:
"""Force-release the per-thread busy lock; safe to call when not held."""
return manager.release(thread_id)
def end_turn(thread_id: str) -> None:
"""Force end-of-turn cleanup for lock + cancel state."""
manager.end_turn(thread_id)
class BusyMutexMiddleware(AgentMiddleware[AgentState[ResponseT], ContextT, ResponseT]):
@ -151,10 +210,10 @@ class BusyMutexMiddleware(AgentMiddleware[AgentState[ResponseT], ContextT, Respo
super().__init__()
self._require_thread_id = require_thread_id
self.tools = []
# Per-call locks owned by this middleware. We track them as
# an instance attribute so ``aafter_agent`` knows which lock
# to release.
self._held_locks: dict[str, asyncio.Lock] = {}
# Per-call lock ownership tracked as (lock, epoch). ``aafter_agent``
# only releases when its epoch still matches the manager's current
# epoch for the thread, preventing stale unlock races.
self._held_locks: dict[str, tuple[asyncio.Lock, int]] = {}
@staticmethod
def _thread_id(runtime: Runtime[ContextT]) -> str | None:
@ -205,7 +264,8 @@ class BusyMutexMiddleware(AgentMiddleware[AgentState[ResponseT], ContextT, Respo
if lock.locked():
raise BusyError(request_id=thread_id)
await lock.acquire()
self._held_locks[thread_id] = lock
epoch = manager.bump_turn_epoch(thread_id)
self._held_locks[thread_id] = (lock, epoch)
# Reset the cancel event so this turn starts fresh
reset_cancel(thread_id)
return None
@ -219,8 +279,15 @@ class BusyMutexMiddleware(AgentMiddleware[AgentState[ResponseT], ContextT, Respo
thread_id = self._thread_id(runtime)
if thread_id is None:
return None
lock = self._held_locks.pop(thread_id, None)
if lock is not None and lock.locked():
held = self._held_locks.pop(thread_id, None)
if held is None:
return None
lock, held_epoch = held
if held_epoch != manager.current_turn_epoch(thread_id):
# Stale teardown from an older attempt (e.g. runtime-recovery path
# already advanced epoch). Do not touch current lock/cancel state.
return None
if lock.locked():
lock.release()
# Always clear cancel event between turns so a stale signal
# doesn't leak into the next request.
@ -251,9 +318,11 @@ class BusyMutexMiddleware(AgentMiddleware[AgentState[ResponseT], ContextT, Respo
__all__ = [
"BusyMutexMiddleware",
"end_turn",
"get_cancel_event",
"get_cancel_state",
"is_cancel_requested",
"manager",
"release_lock",
"request_cancel",
"reset_cancel",
]

View file

@ -0,0 +1,233 @@
r"""Coalesce multi-block system messages into a single text block.
Several middlewares in our deepagent stack each call
``append_to_system_message`` on the way down to the model
(``TodoListMiddleware``, ``SurfSenseFilesystemMiddleware``,
``SkillsMiddleware``, ``SubAgentMiddleware`` ). By the time the
request reaches the LLM, the system message has 5+ separate text blocks.
Anthropic enforces a hard cap of **4 ``cache_control`` blocks per
request**, and we configure 2 injection points
(``index: 0`` + ``index: -1``). With ``index: 0`` always targeting
the prepended ``request.system_message``, this middleware is the
defensive partner: it guarantees that "the system block" is *one*
content block, so LiteLLM's ``AnthropicCacheControlHook`` and any
OpenRouterAnthropic transformer can never multiply our budget into
several breakpoints by spreading ``cache_control`` across multiple
text blocks of a multi-block system content.
Without flattening we used to see::
OpenrouterException - {"error":{"message":"Provider returned error",
"code":400,"metadata":{"raw":"...A maximum of 4 blocks with
cache_control may be provided. Found 5."}}}
(Same error class documented in
https://github.com/BerriAI/litellm/issues/15696 and
https://github.com/BerriAI/litellm/issues/20485 the litellm-side fix
in PR #15395 covers the litellm transformer but does not protect us
when the OpenRouter SaaS itself does the redistribution.)
A separate fix in :mod:`app.agents.new_chat.prompt_caching` (switching
the first injection point from ``role: system`` to ``index: 0``)
neutralises the *primary* cause of the same 400 multiple
``SystemMessage``\ s injected by ``before_agent`` middlewares
(priority/tree/memory/file-intent/anonymous-doc) accumulating across
turns, each tagged with ``cache_control`` by the ``role: system``
matcher. This middleware remains useful as defence-in-depth against
the multi-block redistribution path.
Placement: innermost on the system-message-mutation chain, after every
appender (``todo``/``filesystem``/``skills``/``subagents``) and after
summarization, but before ``noop``/``retry``/``fallback`` so each retry
attempt sees a flattened payload. See ``chat_deepagent.py``.
Idempotent: a string-content system message is left untouched. A list
that contains anything other than plain text blocks (e.g. an image) is
also left untouched those are rare on system messages and we'd lose
the non-text payload by joining.
"""
from __future__ import annotations
import logging
from collections.abc import Awaitable, Callable
from typing import Any
from langchain.agents.middleware.types import (
AgentMiddleware,
AgentState,
ContextT,
ModelRequest,
ModelResponse,
ResponseT,
)
from langchain_core.messages import SystemMessage
logger = logging.getLogger(__name__)
def _flatten_text_blocks(content: list[Any]) -> str | None:
"""Return joined text if every block is a plain ``{"type": "text"}``.
Returns ``None`` when the list contains anything that isn't a text
block we can safely concatenate (image, audio, file, non-standard
blocks, dicts with extra non-cache_control fields). The caller
leaves the original content untouched in that case rather than
silently dropping payload.
``cache_control`` on individual blocks is intentionally discarded
the whole point of flattening is to let LiteLLM's
``cache_control_injection_points`` re-place a single breakpoint on
the resulting one-block system content.
"""
chunks: list[str] = []
for block in content:
if isinstance(block, str):
chunks.append(block)
continue
if not isinstance(block, dict):
return None
if block.get("type") != "text":
return None
text = block.get("text")
if not isinstance(text, str):
return None
chunks.append(text)
return "\n\n".join(chunks)
def _flattened_request(
request: ModelRequest[ContextT],
) -> ModelRequest[ContextT] | None:
"""Return a request with system_message flattened, or ``None`` for no-op."""
sys_msg = request.system_message
if sys_msg is None:
return None
content = sys_msg.content
if not isinstance(content, list) or len(content) <= 1:
return None
flattened = _flatten_text_blocks(content)
if flattened is None:
return None
new_sys = SystemMessage(
content=flattened,
additional_kwargs=dict(sys_msg.additional_kwargs),
response_metadata=dict(sys_msg.response_metadata),
)
if sys_msg.id is not None:
new_sys.id = sys_msg.id
return request.override(system_message=new_sys)
def _diagnostic_summary(request: ModelRequest[Any]) -> str:
"""One-line dump of cache_control-relevant request shape.
Temporary diagnostic to prove where the ``Found N`` cache_control
breakpoints are coming from when Anthropic 400s. Removed once the
root cause is confirmed and a fix is in place.
"""
sys_msg = request.system_message
if sys_msg is None:
sys_shape = "none"
elif isinstance(sys_msg.content, str):
sys_shape = f"str(len={len(sys_msg.content)})"
elif isinstance(sys_msg.content, list):
sys_shape = f"list(blocks={len(sys_msg.content)})"
else:
sys_shape = f"other({type(sys_msg.content).__name__})"
role_hist: list[str] = []
multi_block_msgs = 0
msgs_with_cc = 0
sys_msgs_in_history = 0
for m in request.messages:
mtype = getattr(m, "type", type(m).__name__)
role_hist.append(mtype)
if isinstance(m, SystemMessage):
sys_msgs_in_history += 1
c = getattr(m, "content", None)
if isinstance(c, list):
multi_block_msgs += 1
for blk in c:
if isinstance(blk, dict) and "cache_control" in blk:
msgs_with_cc += 1
break
if "cache_control" in getattr(m, "additional_kwargs", {}) or {}:
msgs_with_cc += 1
tools = request.tools or []
tools_with_cc = 0
for t in tools:
if isinstance(t, dict) and (
"cache_control" in t or "cache_control" in t.get("function", {})
):
tools_with_cc += 1
return (
f"sys={sys_shape} msgs={len(request.messages)} "
f"sys_msgs_in_history={sys_msgs_in_history} "
f"multi_block_msgs={multi_block_msgs} pre_existing_msg_cc={msgs_with_cc} "
f"tools={len(tools)} pre_existing_tool_cc={tools_with_cc} "
f"roles={role_hist[-8:]}"
)
class FlattenSystemMessageMiddleware(
AgentMiddleware[AgentState[ResponseT], ContextT, ResponseT]
):
"""Collapse a multi-text-block system message to a single string.
Sits innermost on the system-message-mutation chain so it observes
every middleware's contribution. Has no other side effect — the
body of every block is preserved, just joined with ``"\\n\\n"``.
"""
def __init__(self) -> None:
super().__init__()
self.tools = []
def wrap_model_call( # type: ignore[override]
self,
request: ModelRequest[ContextT],
handler: Callable[[ModelRequest[ContextT]], ModelResponse[ResponseT]],
) -> Any:
if logger.isEnabledFor(logging.DEBUG):
logger.debug("[flatten_system_diag] %s", _diagnostic_summary(request))
flattened = _flattened_request(request)
if flattened is not None:
if logger.isEnabledFor(logging.DEBUG):
logger.debug(
"[flatten_system] collapsed %d system blocks to one",
len(request.system_message.content), # type: ignore[arg-type, union-attr]
)
return handler(flattened)
return handler(request)
async def awrap_model_call( # type: ignore[override]
self,
request: ModelRequest[ContextT],
handler: Callable[
[ModelRequest[ContextT]], Awaitable[ModelResponse[ResponseT]]
],
) -> Any:
if logger.isEnabledFor(logging.DEBUG):
logger.debug("[flatten_system_diag] %s", _diagnostic_summary(request))
flattened = _flattened_request(request)
if flattened is not None:
if logger.isEnabledFor(logging.DEBUG):
logger.debug(
"[flatten_system] collapsed %d system blocks to one",
len(request.system_message.content), # type: ignore[arg-type, union-attr]
)
return await handler(flattened)
return await handler(request)
__all__ = [
"FlattenSystemMessageMiddleware",
"_flatten_text_blocks",
"_flattened_request",
]

View file

@ -732,7 +732,6 @@ class KnowledgePriorityMiddleware(AgentMiddleware): # type: ignore[type-arg]
state: AgentState,
runtime: Runtime[Any],
) -> dict[str, Any] | None:
del runtime
if self.filesystem_mode != FilesystemMode.CLOUD:
return None
@ -755,7 +754,7 @@ class KnowledgePriorityMiddleware(AgentMiddleware): # type: ignore[type-arg]
if anon_doc:
return self._anon_priority(state, anon_doc)
return await self._authenticated_priority(state, messages, user_text)
return await self._authenticated_priority(state, messages, user_text, runtime)
def _anon_priority(
self,
@ -787,6 +786,7 @@ class KnowledgePriorityMiddleware(AgentMiddleware): # type: ignore[type-arg]
state: AgentState,
messages: Sequence[BaseMessage],
user_text: str,
runtime: Runtime[Any] | None = None,
) -> dict[str, Any]:
t0 = asyncio.get_event_loop().time()
(
@ -799,13 +799,45 @@ class KnowledgePriorityMiddleware(AgentMiddleware): # type: ignore[type-arg]
user_text=user_text,
)
# Per-turn ``mentioned_document_ids`` flow:
# 1. Preferred path (Phase 1.5+): read from ``runtime.context`` — the
# streaming task supplies a fresh :class:`SurfSenseContextSchema`
# on every ``astream_events`` call, so this list is naturally
# scoped to the current turn. Allows cross-turn graph reuse via
# ``agent_cache``.
# 2. Legacy fallback (cache disabled / context not propagated): the
# constructor-injected ``self.mentioned_document_ids`` list. We
# drain it after the first read so a cached graph (no Phase 1.5
# wiring) doesn't keep replaying the same mentions on every
# turn.
#
# CRITICAL: distinguish "context absent" (legacy caller, no field at
# all) from "context provided but empty" (turn with no mentions).
# ``ctx_mentions`` is a ``list[int]``; an empty list is falsy in
# Python, so a naive ``if ctx_mentions:`` would fall through to the
# legacy closure on every no-mention follow-up turn — replaying the
# mentions baked in by turn 1's cache-miss build. Always drain the
# closure once the runtime path has fired so a cached middleware
# instance can never resurrect stale state.
mention_ids: list[int] = []
ctx = getattr(runtime, "context", None) if runtime is not None else None
ctx_mentions = getattr(ctx, "mentioned_document_ids", None) if ctx else None
if ctx_mentions is not None:
# Runtime path is authoritative — even an empty list means
# "this turn has no mentions", NOT "look at the closure".
mention_ids = list(ctx_mentions)
if self.mentioned_document_ids:
self.mentioned_document_ids = []
elif self.mentioned_document_ids:
mention_ids = list(self.mentioned_document_ids)
self.mentioned_document_ids = []
mentioned_results: list[dict[str, Any]] = []
if self.mentioned_document_ids:
if mention_ids:
mentioned_results = await fetch_mentioned_documents(
document_ids=self.mentioned_document_ids,
document_ids=mention_ids,
search_space_id=self.search_space_id,
)
self.mentioned_document_ids = []
if is_recency:
doc_types = _resolve_search_types(

View file

@ -0,0 +1,188 @@
r"""LiteLLM-native prompt caching configuration for SurfSense agents.
Replaces the legacy ``AnthropicPromptCachingMiddleware`` (which never
activated for our LiteLLM-based stack its ``isinstance(model, ChatAnthropic)``
gate always failed) with LiteLLM's universal caching mechanism.
Coverage:
- Marker-based providers (need ``cache_control`` injection, which LiteLLM
performs automatically when ``cache_control_injection_points`` is set):
``anthropic/``, ``bedrock/``, ``vertex_ai/``, ``gemini/``, ``azure_ai/``,
``openrouter/`` (Claude/Gemini/MiniMax/GLM/z-ai routes), ``databricks/``
(Claude), ``dashscope/`` (Qwen), ``minimax/``, ``zai/`` (GLM).
- Auto-cached (LiteLLM strips the marker silently): ``openai/``,
``deepseek/``, ``xai/`` these caches automatically for prompts 1024
tokens and surface ``prompt_cache_key`` / ``prompt_cache_retention``.
We inject **two** breakpoints per request:
- ``index: 0`` pins the SurfSense system prompt at the head of the
request (provider variant, citation rules, tool catalog, KB tree,
skills metadata). The langchain agent factory always prepends
``request.system_message`` at index 0 (see ``factory.py``
``_execute_model_async``), so this targets exactly the main system
prompt regardless of how many other ``SystemMessage``\ s the
``before_agent`` injectors (priority, tree, memory, file-intent,
anonymous-doc) have inserted into ``state["messages"]``. Using
``role: system`` here would apply ``cache_control`` to **every**
system-role message and trip Anthropic's hard cap of 4 cache
breakpoints per request once the conversation accumulates enough
injected system messages which surfaces as the upstream 400
``A maximum of 4 blocks with cache_control may be provided. Found N``
via OpenRouterAnthropic.
- ``index: -1`` pins the latest message so multi-turn savings compound:
Anthropic-family providers use longest-matching-prefix lookup, so turn
N+1 still reads turn N's cache up to the shared prefix.
For OpenAI-family configs we additionally pass:
- ``prompt_cache_key=f"surfsense-thread-{thread_id}"`` routing hint that
raises hit rate by sending requests with a shared prefix to the same
backend.
- ``prompt_cache_retention="24h"`` extends cache TTL beyond the default
5-10 min in-memory cache.
Safety net: ``litellm.drop_params=True`` is set globally in
``app.services.llm_service`` at module-load time. Any kwarg the destination
provider doesn't recognise is auto-stripped at the provider transformer
layer, so an OpenAIBedrock auto-mode fallback can't 400 on
``prompt_cache_key`` etc.
"""
from __future__ import annotations
import logging
from typing import TYPE_CHECKING, Any
from langchain_core.language_models import BaseChatModel
if TYPE_CHECKING:
from app.agents.new_chat.llm_config import AgentConfig
logger = logging.getLogger(__name__)
# Two-breakpoint policy: head-of-request + latest message. See module
# docstring for rationale. Anthropic caps requests at 4 ``cache_control``
# blocks; we use 2 here, leaving headroom for Phase-2 tool caching.
#
# IMPORTANT: ``index: 0`` (not ``role: system``). The deepagent stack's
# ``before_agent`` middlewares (priority, tree, memory, file-intent,
# anonymous-doc) insert ``SystemMessage`` instances into
# ``state["messages"]`` that accumulate across turns. With
# ``role: system`` the LiteLLM hook would tag *every* one of them with
# ``cache_control`` and overflow Anthropic's 4-block limit. ``index: 0``
# always targets the langchain-prepended ``request.system_message``
# (which our ``FlattenSystemMessageMiddleware`` reduces to a single text
# block), giving us exactly one stable cache breakpoint.
_DEFAULT_INJECTION_POINTS: tuple[dict[str, Any], ...] = (
{"location": "message", "index": 0},
{"location": "message", "index": -1},
)
# Providers (uppercase ``AgentConfig.provider`` values) that natively expose
# OpenAI-style automatic prompt caching with ``prompt_cache_key`` and
# ``prompt_cache_retention`` kwargs. Strict whitelist — many other providers
# in ``PROVIDER_MAP`` route through litellm's ``openai`` prefix without
# implementing the OpenAI prompt-cache surface (e.g. MOONSHOT, ZHIPU,
# MINIMAX), so we can't infer family from the litellm prefix alone.
_OPENAI_FAMILY_PROVIDERS: frozenset[str] = frozenset({"OPENAI", "DEEPSEEK", "XAI"})
def _is_router_llm(llm: BaseChatModel) -> bool:
"""Detect ``ChatLiteLLMRouter`` (auto-mode) without an eager import.
Importing ``app.services.llm_router_service`` at module-load time would
create a cycle via ``llm_config -> prompt_caching -> llm_router_service``.
Class-name comparison is sufficient since the class is defined in a
single place.
"""
return type(llm).__name__ == "ChatLiteLLMRouter"
def _is_openai_family_config(agent_config: AgentConfig | None) -> bool:
"""Whether the config targets an OpenAI-style prompt-cache surface.
Strict only returns True when the user explicitly chose OPENAI,
DEEPSEEK, or XAI as the provider in their ``NewLLMConfig`` /
``YAMLConfig``. Auto-mode and custom providers return False because
we can't statically know the destination.
"""
if agent_config is None or not agent_config.provider:
return False
if agent_config.is_auto_mode:
return False
if agent_config.custom_provider:
return False
return agent_config.provider.upper() in _OPENAI_FAMILY_PROVIDERS
def _get_or_init_model_kwargs(llm: BaseChatModel) -> dict[str, Any] | None:
"""Return ``llm.model_kwargs`` as a writable dict, or ``None`` to bail.
Initialises the field to ``{}`` when present-but-None on a Pydantic v2
model. Returns ``None`` if the LLM type doesn't expose a writable
``model_kwargs`` attribute (caller should treat as no-op).
"""
model_kwargs = getattr(llm, "model_kwargs", None)
if isinstance(model_kwargs, dict):
return model_kwargs
try:
llm.model_kwargs = {} # type: ignore[attr-defined]
except Exception:
return None
refreshed = getattr(llm, "model_kwargs", None)
return refreshed if isinstance(refreshed, dict) else None
def apply_litellm_prompt_caching(
llm: BaseChatModel,
*,
agent_config: AgentConfig | None = None,
thread_id: int | None = None,
) -> None:
"""Configure LiteLLM prompt caching on a ChatLiteLLM/ChatLiteLLMRouter.
Idempotent values already present in ``llm.model_kwargs`` (e.g. from
``agent_config.litellm_params`` overrides) are preserved. Mutates
``llm.model_kwargs`` in place; the kwargs flow to ``litellm.completion``
via ``ChatLiteLLM._default_params`` and via ``self.model_kwargs`` merge
in our custom ``ChatLiteLLMRouter``.
Args:
llm: ChatLiteLLM, SanitizedChatLiteLLM, or ChatLiteLLMRouter instance.
agent_config: Optional ``AgentConfig`` driving provider-specific
behaviour. When omitted (or auto-mode), only the universal
``cache_control_injection_points`` are set.
thread_id: Optional thread id used to construct a per-thread
``prompt_cache_key`` for OpenAI-family providers. Caching still
works without it (server-side automatic), but the key improves
backend routing affinity and therefore hit rate.
"""
model_kwargs = _get_or_init_model_kwargs(llm)
if model_kwargs is None:
logger.debug(
"apply_litellm_prompt_caching: %s exposes no writable model_kwargs; skipping",
type(llm).__name__,
)
return
if "cache_control_injection_points" not in model_kwargs:
model_kwargs["cache_control_injection_points"] = [
dict(point) for point in _DEFAULT_INJECTION_POINTS
]
# OpenAI-family extras only when we statically know the destination is
# OpenAI / DeepSeek / xAI. Auto-mode router fans out across providers
# so we can't safely set OpenAI-only kwargs there (drop_params would
# strip them but it's wasteful to set them in the first place).
if _is_router_llm(llm):
return
if not _is_openai_family_config(agent_config):
return
if thread_id is not None and "prompt_cache_key" not in model_kwargs:
model_kwargs["prompt_cache_key"] = f"surfsense-thread-{thread_id}"
if "prompt_cache_retention" not in model_kwargs:
model_kwargs["prompt_cache_retention"] = "24h"

View file

@ -27,14 +27,9 @@ WRITE_TOOL_DENY_PATTERNS: tuple[str, ...] = (
NON_PROVIDER_STATE_MUTATION_DENY: frozenset[str] = frozenset(
{
# Exact tool names from shared deny patterns.
*{
name
for name in WRITE_TOOL_DENY_PATTERNS
if "*" not in name
},
*{name for name in WRITE_TOOL_DENY_PATTERNS if "*" not in name},
# Additional non-provider state mutation controls.
"write_todos",
"task",
}
)

View file

@ -112,10 +112,7 @@ def _permission_middleware(*, selected_tools: Sequence[BaseTool]) -> Any:
Rule(permission=name, pattern="*", action="deny")
for name in NON_PROVIDER_STATE_MUTATION_DENY
)
rules.extend(
Rule(permission=name, pattern="*", action="ask")
for name in ask_tools
)
rules.extend(Rule(permission=name, pattern="*", action="ask") for name in ask_tools)
return PermissionMiddleware(
rulesets=[Ruleset(rules=rules, origin="subagent_linear_specialist")]
)
@ -163,4 +160,3 @@ def build_linear_specialist_subagent(
if model is not None:
spec["model"] = model
return spec # type: ignore[return-value]

View file

@ -119,10 +119,7 @@ def _permission_middleware(*, selected_tools: Sequence[BaseTool]) -> Any:
Rule(permission=name, pattern="*", action="deny")
for name in NON_PROVIDER_STATE_MUTATION_DENY
)
rules.extend(
Rule(permission=name, pattern="*", action="ask")
for name in ask_tools
)
rules.extend(Rule(permission=name, pattern="*", action="ask") for name in ask_tools)
return PermissionMiddleware(
rulesets=[Ruleset(rules=rules, origin="subagent_slack_specialist")]
)
@ -171,4 +168,3 @@ def build_slack_specialist_subagent(
if model is not None:
spec["model"] = model
return spec # type: ignore[return-value]

View file

@ -7,6 +7,7 @@ from sqlalchemy.orm.attributes import flag_modified
from app.agents.new_chat.tools.hitl import request_approval
from app.connectors.confluence_history import ConfluenceHistoryConnector
from app.db import async_session_maker
from app.services.confluence import ConfluenceToolMetadataService
logger = logging.getLogger(__name__)
@ -18,6 +19,23 @@ def create_create_confluence_page_tool(
user_id: str | None = None,
connector_id: int | None = None,
):
"""
Factory function to create the create_confluence_page tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured create_confluence_page tool
"""
del db_session # per-call session — see docstring
@tool
async def create_confluence_page(
title: str,
@ -42,160 +60,163 @@ def create_create_confluence_page_tool(
"""
logger.info(f"create_confluence_page called: title='{title}'")
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {
"status": "error",
"message": "Confluence tool not properly configured.",
}
try:
metadata_service = ConfluenceToolMetadataService(db_session)
context = await metadata_service.get_creation_context(
search_space_id, user_id
)
async with async_session_maker() as db_session:
metadata_service = ConfluenceToolMetadataService(db_session)
context = await metadata_service.get_creation_context(
search_space_id, user_id
)
if "error" in context:
return {"status": "error", "message": context["error"]}
if "error" in context:
return {"status": "error", "message": context["error"]}
accounts = context.get("accounts", [])
if accounts and all(a.get("auth_expired") for a in accounts):
return {
"status": "auth_error",
"message": "All connected Confluence accounts need re-authentication.",
"connector_type": "confluence",
}
accounts = context.get("accounts", [])
if accounts and all(a.get("auth_expired") for a in accounts):
return {
"status": "auth_error",
"message": "All connected Confluence accounts need re-authentication.",
"connector_type": "confluence",
}
result = request_approval(
action_type="confluence_page_creation",
tool_name="create_confluence_page",
params={
"title": title,
"content": content,
"space_id": space_id,
"connector_id": connector_id,
},
context=context,
)
result = request_approval(
action_type="confluence_page_creation",
tool_name="create_confluence_page",
params={
"title": title,
"content": content,
"space_id": space_id,
"connector_id": connector_id,
},
context=context,
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_title = result.params.get("title", title)
final_content = result.params.get("content", content) or ""
final_space_id = result.params.get("space_id", space_id)
final_connector_id = result.params.get("connector_id", connector_id)
final_title = result.params.get("title", title)
final_content = result.params.get("content", content) or ""
final_space_id = result.params.get("space_id", space_id)
final_connector_id = result.params.get("connector_id", connector_id)
if not final_title or not final_title.strip():
return {"status": "error", "message": "Page title cannot be empty."}
if not final_space_id:
return {"status": "error", "message": "A space must be selected."}
if not final_title or not final_title.strip():
return {"status": "error", "message": "Page title cannot be empty."}
if not final_space_id:
return {"status": "error", "message": "A space must be selected."}
from sqlalchemy.future import select
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
from app.db import SearchSourceConnector, SearchSourceConnectorType
actual_connector_id = final_connector_id
if actual_connector_id is None:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.CONFLUENCE_CONNECTOR,
actual_connector_id = final_connector_id
if actual_connector_id is None:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.CONFLUENCE_CONNECTOR,
)
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "No Confluence connector found.",
}
actual_connector_id = connector.id
else:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == actual_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.CONFLUENCE_CONNECTOR,
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Confluence connector is invalid.",
}
try:
client = ConfluenceHistoryConnector(
session=db_session, connector_id=actual_connector_id
)
api_result = await client.create_page(
space_id=final_space_id,
title=final_title,
body=final_content,
)
await client.close()
except Exception as api_err:
if (
"http 403" in str(api_err).lower()
or "status code 403" in str(api_err).lower()
):
try:
_conn = connector
_conn.config = {**_conn.config, "auth_expired": True}
flag_modified(_conn, "config")
await db_session.commit()
except Exception:
pass
return {
"status": "insufficient_permissions",
"connector_id": actual_connector_id,
"message": "This Confluence account needs additional permissions. Please re-authenticate in connector settings.",
}
raise
page_id = str(api_result.get("id", ""))
page_links = (
api_result.get("_links", {}) if isinstance(api_result, dict) else {}
)
page_url = ""
if page_links.get("base") and page_links.get("webui"):
page_url = f"{page_links['base']}{page_links['webui']}"
kb_message_suffix = ""
try:
from app.services.confluence import ConfluenceKBSyncService
kb_service = ConfluenceKBSyncService(db_session)
kb_result = await kb_service.sync_after_create(
page_id=page_id,
page_title=final_title,
space_id=final_space_id,
body_content=final_content,
connector_id=actual_connector_id,
search_space_id=search_space_id,
user_id=user_id,
)
if kb_result["status"] == "success":
kb_message_suffix = " Your knowledge base has also been updated."
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "No Confluence connector found.",
}
actual_connector_id = connector.id
else:
kb_message_suffix = " This page will be added to your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after create failed: {kb_err}")
kb_message_suffix = " This page will be added to your knowledge base in the next scheduled sync."
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == actual_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.CONFLUENCE_CONNECTOR,
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Confluence connector is invalid.",
}
return {
"status": "success",
"page_id": page_id,
"page_url": page_url,
"message": f"Confluence page '{final_title}' created successfully.{kb_message_suffix}",
}
try:
client = ConfluenceHistoryConnector(
session=db_session, connector_id=actual_connector_id
)
api_result = await client.create_page(
space_id=final_space_id,
title=final_title,
body=final_content,
)
await client.close()
except Exception as api_err:
if (
"http 403" in str(api_err).lower()
or "status code 403" in str(api_err).lower()
):
try:
_conn = connector
_conn.config = {**_conn.config, "auth_expired": True}
flag_modified(_conn, "config")
await db_session.commit()
except Exception:
pass
return {
"status": "insufficient_permissions",
"connector_id": actual_connector_id,
"message": "This Confluence account needs additional permissions. Please re-authenticate in connector settings.",
}
raise
page_id = str(api_result.get("id", ""))
page_links = (
api_result.get("_links", {}) if isinstance(api_result, dict) else {}
)
page_url = ""
if page_links.get("base") and page_links.get("webui"):
page_url = f"{page_links['base']}{page_links['webui']}"
kb_message_suffix = ""
try:
from app.services.confluence import ConfluenceKBSyncService
kb_service = ConfluenceKBSyncService(db_session)
kb_result = await kb_service.sync_after_create(
page_id=page_id,
page_title=final_title,
space_id=final_space_id,
body_content=final_content,
connector_id=actual_connector_id,
search_space_id=search_space_id,
user_id=user_id,
)
if kb_result["status"] == "success":
kb_message_suffix = (
" Your knowledge base has also been updated."
)
else:
kb_message_suffix = " This page will be added to your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after create failed: {kb_err}")
kb_message_suffix = " This page will be added to your knowledge base in the next scheduled sync."
return {
"status": "success",
"page_id": page_id,
"page_url": page_url,
"message": f"Confluence page '{final_title}' created successfully.{kb_message_suffix}",
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -7,6 +7,7 @@ from sqlalchemy.orm.attributes import flag_modified
from app.agents.new_chat.tools.hitl import request_approval
from app.connectors.confluence_history import ConfluenceHistoryConnector
from app.db import async_session_maker
from app.services.confluence import ConfluenceToolMetadataService
logger = logging.getLogger(__name__)
@ -18,6 +19,23 @@ def create_delete_confluence_page_tool(
user_id: str | None = None,
connector_id: int | None = None,
):
"""
Factory function to create the delete_confluence_page tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured delete_confluence_page tool
"""
del db_session # per-call session — see docstring
@tool
async def delete_confluence_page(
page_title_or_id: str,
@ -43,137 +61,143 @@ def create_delete_confluence_page_tool(
f"delete_confluence_page called: page_title_or_id='{page_title_or_id}'"
)
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {
"status": "error",
"message": "Confluence tool not properly configured.",
}
try:
metadata_service = ConfluenceToolMetadataService(db_session)
context = await metadata_service.get_deletion_context(
search_space_id, user_id, page_title_or_id
)
if "error" in context:
error_msg = context["error"]
if context.get("auth_expired"):
return {
"status": "auth_error",
"message": error_msg,
"connector_id": context.get("connector_id"),
"connector_type": "confluence",
}
if "not found" in error_msg.lower():
return {"status": "not_found", "message": error_msg}
return {"status": "error", "message": error_msg}
page_data = context["page"]
page_id = page_data["page_id"]
page_title = page_data.get("page_title", "")
document_id = page_data["document_id"]
connector_id_from_context = context.get("account", {}).get("id")
result = request_approval(
action_type="confluence_page_deletion",
tool_name="delete_confluence_page",
params={
"page_id": page_id,
"connector_id": connector_id_from_context,
"delete_from_kb": delete_from_kb,
},
context=context,
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_page_id = result.params.get("page_id", page_id)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
final_delete_from_kb = result.params.get("delete_from_kb", delete_from_kb)
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
if not final_connector_id:
return {
"status": "error",
"message": "No connector found for this page.",
}
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.CONFLUENCE_CONNECTOR,
async with async_session_maker() as db_session:
metadata_service = ConfluenceToolMetadataService(db_session)
context = await metadata_service.get_deletion_context(
search_space_id, user_id, page_title_or_id
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Confluence connector is invalid.",
}
try:
client = ConfluenceHistoryConnector(
session=db_session, connector_id=final_connector_id
if "error" in context:
error_msg = context["error"]
if context.get("auth_expired"):
return {
"status": "auth_error",
"message": error_msg,
"connector_id": context.get("connector_id"),
"connector_type": "confluence",
}
if "not found" in error_msg.lower():
return {"status": "not_found", "message": error_msg}
return {"status": "error", "message": error_msg}
page_data = context["page"]
page_id = page_data["page_id"]
page_title = page_data.get("page_title", "")
document_id = page_data["document_id"]
connector_id_from_context = context.get("account", {}).get("id")
result = request_approval(
action_type="confluence_page_deletion",
tool_name="delete_confluence_page",
params={
"page_id": page_id,
"connector_id": connector_id_from_context,
"delete_from_kb": delete_from_kb,
},
context=context,
)
await client.delete_page(final_page_id)
await client.close()
except Exception as api_err:
if (
"http 403" in str(api_err).lower()
or "status code 403" in str(api_err).lower()
):
try:
connector.config = {**connector.config, "auth_expired": True}
flag_modified(connector, "config")
await db_session.commit()
except Exception:
pass
if result.rejected:
return {
"status": "insufficient_permissions",
"connector_id": final_connector_id,
"message": "This Confluence account needs additional permissions. Please re-authenticate in connector settings.",
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
raise
deleted_from_kb = False
if final_delete_from_kb and document_id:
try:
from app.db import Document
final_page_id = result.params.get("page_id", page_id)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
final_delete_from_kb = result.params.get(
"delete_from_kb", delete_from_kb
)
doc_result = await db_session.execute(
select(Document).filter(Document.id == document_id)
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
if not final_connector_id:
return {
"status": "error",
"message": "No connector found for this page.",
}
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.CONFLUENCE_CONNECTOR,
)
document = doc_result.scalars().first()
if document:
await db_session.delete(document)
await db_session.commit()
deleted_from_kb = True
except Exception as e:
logger.error(f"Failed to delete document from KB: {e}")
await db_session.rollback()
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Confluence connector is invalid.",
}
message = f"Confluence page '{page_title}' deleted successfully."
if deleted_from_kb:
message += " Also removed from the knowledge base."
try:
client = ConfluenceHistoryConnector(
session=db_session, connector_id=final_connector_id
)
await client.delete_page(final_page_id)
await client.close()
except Exception as api_err:
if (
"http 403" in str(api_err).lower()
or "status code 403" in str(api_err).lower()
):
try:
connector.config = {
**connector.config,
"auth_expired": True,
}
flag_modified(connector, "config")
await db_session.commit()
except Exception:
pass
return {
"status": "insufficient_permissions",
"connector_id": final_connector_id,
"message": "This Confluence account needs additional permissions. Please re-authenticate in connector settings.",
}
raise
return {
"status": "success",
"page_id": final_page_id,
"deleted_from_kb": deleted_from_kb,
"message": message,
}
deleted_from_kb = False
if final_delete_from_kb and document_id:
try:
from app.db import Document
doc_result = await db_session.execute(
select(Document).filter(Document.id == document_id)
)
document = doc_result.scalars().first()
if document:
await db_session.delete(document)
await db_session.commit()
deleted_from_kb = True
except Exception as e:
logger.error(f"Failed to delete document from KB: {e}")
await db_session.rollback()
message = f"Confluence page '{page_title}' deleted successfully."
if deleted_from_kb:
message += " Also removed from the knowledge base."
return {
"status": "success",
"page_id": final_page_id,
"deleted_from_kb": deleted_from_kb,
"message": message,
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -7,6 +7,7 @@ from sqlalchemy.orm.attributes import flag_modified
from app.agents.new_chat.tools.hitl import request_approval
from app.connectors.confluence_history import ConfluenceHistoryConnector
from app.db import async_session_maker
from app.services.confluence import ConfluenceToolMetadataService
logger = logging.getLogger(__name__)
@ -18,6 +19,23 @@ def create_update_confluence_page_tool(
user_id: str | None = None,
connector_id: int | None = None,
):
"""
Factory function to create the update_confluence_page tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured update_confluence_page tool
"""
del db_session # per-call session — see docstring
@tool
async def update_confluence_page(
page_title_or_id: str,
@ -45,164 +63,168 @@ def create_update_confluence_page_tool(
f"update_confluence_page called: page_title_or_id='{page_title_or_id}'"
)
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {
"status": "error",
"message": "Confluence tool not properly configured.",
}
try:
metadata_service = ConfluenceToolMetadataService(db_session)
context = await metadata_service.get_update_context(
search_space_id, user_id, page_title_or_id
)
async with async_session_maker() as db_session:
metadata_service = ConfluenceToolMetadataService(db_session)
context = await metadata_service.get_update_context(
search_space_id, user_id, page_title_or_id
)
if "error" in context:
error_msg = context["error"]
if context.get("auth_expired"):
if "error" in context:
error_msg = context["error"]
if context.get("auth_expired"):
return {
"status": "auth_error",
"message": error_msg,
"connector_id": context.get("connector_id"),
"connector_type": "confluence",
}
if "not found" in error_msg.lower():
return {"status": "not_found", "message": error_msg}
return {"status": "error", "message": error_msg}
page_data = context["page"]
page_id = page_data["page_id"]
current_title = page_data["page_title"]
current_body = page_data.get("body", "")
current_version = page_data.get("version", 1)
document_id = page_data.get("document_id")
connector_id_from_context = context.get("account", {}).get("id")
result = request_approval(
action_type="confluence_page_update",
tool_name="update_confluence_page",
params={
"page_id": page_id,
"document_id": document_id,
"new_title": new_title,
"new_content": new_content,
"version": current_version,
"connector_id": connector_id_from_context,
},
context=context,
)
if result.rejected:
return {
"status": "auth_error",
"message": error_msg,
"connector_id": context.get("connector_id"),
"connector_type": "confluence",
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
if "not found" in error_msg.lower():
return {"status": "not_found", "message": error_msg}
return {"status": "error", "message": error_msg}
page_data = context["page"]
page_id = page_data["page_id"]
current_title = page_data["page_title"]
current_body = page_data.get("body", "")
current_version = page_data.get("version", 1)
document_id = page_data.get("document_id")
connector_id_from_context = context.get("account", {}).get("id")
result = request_approval(
action_type="confluence_page_update",
tool_name="update_confluence_page",
params={
"page_id": page_id,
"document_id": document_id,
"new_title": new_title,
"new_content": new_content,
"version": current_version,
"connector_id": connector_id_from_context,
},
context=context,
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_page_id = result.params.get("page_id", page_id)
final_title = result.params.get("new_title", new_title) or current_title
final_content = result.params.get("new_content", new_content)
if final_content is None:
final_content = current_body
final_version = result.params.get("version", current_version)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
final_document_id = result.params.get("document_id", document_id)
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
if not final_connector_id:
return {
"status": "error",
"message": "No connector found for this page.",
}
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.CONFLUENCE_CONNECTOR,
final_page_id = result.params.get("page_id", page_id)
final_title = result.params.get("new_title", new_title) or current_title
final_content = result.params.get("new_content", new_content)
if final_content is None:
final_content = current_body
final_version = result.params.get("version", current_version)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Confluence connector is invalid.",
}
final_document_id = result.params.get("document_id", document_id)
try:
client = ConfluenceHistoryConnector(
session=db_session, connector_id=final_connector_id
)
api_result = await client.update_page(
page_id=final_page_id,
title=final_title,
body=final_content,
version_number=final_version + 1,
)
await client.close()
except Exception as api_err:
if (
"http 403" in str(api_err).lower()
or "status code 403" in str(api_err).lower()
):
try:
connector.config = {**connector.config, "auth_expired": True}
flag_modified(connector, "config")
await db_session.commit()
except Exception:
pass
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
if not final_connector_id:
return {
"status": "insufficient_permissions",
"connector_id": final_connector_id,
"message": "This Confluence account needs additional permissions. Please re-authenticate in connector settings.",
"status": "error",
"message": "No connector found for this page.",
}
raise
page_links = (
api_result.get("_links", {}) if isinstance(api_result, dict) else {}
)
page_url = ""
if page_links.get("base") and page_links.get("webui"):
page_url = f"{page_links['base']}{page_links['webui']}"
kb_message_suffix = ""
if final_document_id:
try:
from app.services.confluence import ConfluenceKBSyncService
kb_service = ConfluenceKBSyncService(db_session)
kb_result = await kb_service.sync_after_update(
document_id=final_document_id,
page_id=final_page_id,
user_id=user_id,
search_space_id=search_space_id,
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.CONFLUENCE_CONNECTOR,
)
if kb_result["status"] == "success":
kb_message_suffix = (
" Your knowledge base has also been updated."
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Confluence connector is invalid.",
}
try:
client = ConfluenceHistoryConnector(
session=db_session, connector_id=final_connector_id
)
api_result = await client.update_page(
page_id=final_page_id,
title=final_title,
body=final_content,
version_number=final_version + 1,
)
await client.close()
except Exception as api_err:
if (
"http 403" in str(api_err).lower()
or "status code 403" in str(api_err).lower()
):
try:
connector.config = {
**connector.config,
"auth_expired": True,
}
flag_modified(connector, "config")
await db_session.commit()
except Exception:
pass
return {
"status": "insufficient_permissions",
"connector_id": final_connector_id,
"message": "This Confluence account needs additional permissions. Please re-authenticate in connector settings.",
}
raise
page_links = (
api_result.get("_links", {}) if isinstance(api_result, dict) else {}
)
page_url = ""
if page_links.get("base") and page_links.get("webui"):
page_url = f"{page_links['base']}{page_links['webui']}"
kb_message_suffix = ""
if final_document_id:
try:
from app.services.confluence import ConfluenceKBSyncService
kb_service = ConfluenceKBSyncService(db_session)
kb_result = await kb_service.sync_after_update(
document_id=final_document_id,
page_id=final_page_id,
user_id=user_id,
search_space_id=search_space_id,
)
else:
if kb_result["status"] == "success":
kb_message_suffix = (
" Your knowledge base has also been updated."
)
else:
kb_message_suffix = (
" The knowledge base will be updated in the next sync."
)
except Exception as kb_err:
logger.warning(f"KB sync after update failed: {kb_err}")
kb_message_suffix = (
" The knowledge base will be updated in the next sync."
)
except Exception as kb_err:
logger.warning(f"KB sync after update failed: {kb_err}")
kb_message_suffix = (
" The knowledge base will be updated in the next sync."
)
return {
"status": "success",
"page_id": final_page_id,
"page_url": page_url,
"message": f"Confluence page '{final_title}' updated successfully.{kb_message_suffix}",
}
return {
"status": "success",
"page_id": final_page_id,
"page_url": page_url,
"message": f"Confluence page '{final_title}' updated successfully.{kb_message_suffix}",
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -17,7 +17,7 @@ from pydantic import BaseModel, Field
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
from app.db import SearchSourceConnector, SearchSourceConnectorType, async_session_maker
from app.services.mcp_oauth.registry import MCP_SERVICES
logger = logging.getLogger(__name__)
@ -53,6 +53,23 @@ def create_get_connected_accounts_tool(
search_space_id: int,
user_id: str,
) -> StructuredTool:
"""Factory function to create the get_connected_accounts tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
search_space_id: Search space ID to scope account discovery to.
user_id: User ID to scope account discovery to.
Returns:
Configured StructuredTool for connected-accounts discovery.
"""
del db_session # per-call session — see docstring
async def _run(service: str) -> list[dict[str, Any]]:
svc_cfg = MCP_SERVICES.get(service)
@ -68,40 +85,41 @@ def create_get_connected_accounts_tool(
except ValueError:
return [{"error": f"Connector type '{svc_cfg.connector_type}' not found."}]
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type == connector_type,
async with async_session_maker() as db_session:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type == connector_type,
)
)
)
connectors = result.scalars().all()
connectors = result.scalars().all()
if not connectors:
return [
{
"error": f"No {svc_cfg.name} accounts connected. Ask the user to connect one in settings."
if not connectors:
return [
{
"error": f"No {svc_cfg.name} accounts connected. Ask the user to connect one in settings."
}
]
is_multi = len(connectors) > 1
accounts: list[dict[str, Any]] = []
for conn in connectors:
cfg = conn.config or {}
entry: dict[str, Any] = {
"connector_id": conn.id,
"display_name": _extract_display_name(conn),
"service": service,
}
]
if is_multi:
entry["tool_prefix"] = f"{service}_{conn.id}"
for key in svc_cfg.account_metadata_keys:
if key in cfg:
entry[key] = cfg[key]
accounts.append(entry)
is_multi = len(connectors) > 1
accounts: list[dict[str, Any]] = []
for conn in connectors:
cfg = conn.config or {}
entry: dict[str, Any] = {
"connector_id": conn.id,
"display_name": _extract_display_name(conn),
"service": service,
}
if is_multi:
entry["tool_prefix"] = f"{service}_{conn.id}"
for key in svc_cfg.account_metadata_keys:
if key in cfg:
entry[key] = cfg[key]
accounts.append(entry)
return accounts
return accounts
return StructuredTool(
name="get_connected_accounts",

View file

@ -5,6 +5,8 @@ import httpx
from langchain_core.tools import tool
from sqlalchemy.ext.asyncio import AsyncSession
from app.db import async_session_maker
from ._auth import DISCORD_API, get_bot_token, get_discord_connector, get_guild_id
logger = logging.getLogger(__name__)
@ -15,6 +17,23 @@ def create_list_discord_channels_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the list_discord_channels tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured list_discord_channels tool
"""
del db_session # per-call session — see docstring
@tool
async def list_discord_channels() -> dict[str, Any]:
"""List text channels in the connected Discord server.
@ -22,59 +41,60 @@ def create_list_discord_channels_tool(
Returns:
Dictionary with status and a list of channels (id, name).
"""
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {
"status": "error",
"message": "Discord tool not properly configured.",
}
try:
connector = await get_discord_connector(
db_session, search_space_id, user_id
)
if not connector:
return {"status": "error", "message": "No Discord connector found."}
guild_id = get_guild_id(connector)
if not guild_id:
return {
"status": "error",
"message": "No guild ID in Discord connector config.",
}
token = get_bot_token(connector)
async with httpx.AsyncClient() as client:
resp = await client.get(
f"{DISCORD_API}/guilds/{guild_id}/channels",
headers={"Authorization": f"Bot {token}"},
timeout=15.0,
async with async_session_maker() as db_session:
connector = await get_discord_connector(
db_session, search_space_id, user_id
)
if not connector:
return {"status": "error", "message": "No Discord connector found."}
if resp.status_code == 401:
return {
"status": "auth_error",
"message": "Discord bot token is invalid.",
"connector_type": "discord",
}
if resp.status_code != 200:
return {
"status": "error",
"message": f"Discord API error: {resp.status_code}",
}
guild_id = get_guild_id(connector)
if not guild_id:
return {
"status": "error",
"message": "No guild ID in Discord connector config.",
}
# Type 0 = text channel
channels = [
{"id": ch["id"], "name": ch["name"]}
for ch in resp.json()
if ch.get("type") == 0
]
return {
"status": "success",
"guild_id": guild_id,
"channels": channels,
"total": len(channels),
}
token = get_bot_token(connector)
async with httpx.AsyncClient() as client:
resp = await client.get(
f"{DISCORD_API}/guilds/{guild_id}/channels",
headers={"Authorization": f"Bot {token}"},
timeout=15.0,
)
if resp.status_code == 401:
return {
"status": "auth_error",
"message": "Discord bot token is invalid.",
"connector_type": "discord",
}
if resp.status_code != 200:
return {
"status": "error",
"message": f"Discord API error: {resp.status_code}",
}
# Type 0 = text channel
channels = [
{"id": ch["id"], "name": ch["name"]}
for ch in resp.json()
if ch.get("type") == 0
]
return {
"status": "success",
"guild_id": guild_id,
"channels": channels,
"total": len(channels),
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -5,6 +5,8 @@ import httpx
from langchain_core.tools import tool
from sqlalchemy.ext.asyncio import AsyncSession
from app.db import async_session_maker
from ._auth import DISCORD_API, get_bot_token, get_discord_connector
logger = logging.getLogger(__name__)
@ -15,6 +17,23 @@ def create_read_discord_messages_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the read_discord_messages tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured read_discord_messages tool
"""
del db_session # per-call session — see docstring
@tool
async def read_discord_messages(
channel_id: str,
@ -30,7 +49,7 @@ def create_read_discord_messages_tool(
Dictionary with status and a list of messages including
id, author, content, timestamp.
"""
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {
"status": "error",
"message": "Discord tool not properly configured.",
@ -39,55 +58,56 @@ def create_read_discord_messages_tool(
limit = min(limit, 50)
try:
connector = await get_discord_connector(
db_session, search_space_id, user_id
)
if not connector:
return {"status": "error", "message": "No Discord connector found."}
token = get_bot_token(connector)
async with httpx.AsyncClient() as client:
resp = await client.get(
f"{DISCORD_API}/channels/{channel_id}/messages",
headers={"Authorization": f"Bot {token}"},
params={"limit": limit},
timeout=15.0,
async with async_session_maker() as db_session:
connector = await get_discord_connector(
db_session, search_space_id, user_id
)
if not connector:
return {"status": "error", "message": "No Discord connector found."}
if resp.status_code == 401:
return {
"status": "auth_error",
"message": "Discord bot token is invalid.",
"connector_type": "discord",
}
if resp.status_code == 403:
return {
"status": "error",
"message": "Bot lacks permission to read this channel.",
}
if resp.status_code != 200:
return {
"status": "error",
"message": f"Discord API error: {resp.status_code}",
}
token = get_bot_token(connector)
messages = [
{
"id": m["id"],
"author": m.get("author", {}).get("username", "Unknown"),
"content": m.get("content", ""),
"timestamp": m.get("timestamp", ""),
}
for m in resp.json()
]
async with httpx.AsyncClient() as client:
resp = await client.get(
f"{DISCORD_API}/channels/{channel_id}/messages",
headers={"Authorization": f"Bot {token}"},
params={"limit": limit},
timeout=15.0,
)
return {
"status": "success",
"channel_id": channel_id,
"messages": messages,
"total": len(messages),
}
if resp.status_code == 401:
return {
"status": "auth_error",
"message": "Discord bot token is invalid.",
"connector_type": "discord",
}
if resp.status_code == 403:
return {
"status": "error",
"message": "Bot lacks permission to read this channel.",
}
if resp.status_code != 200:
return {
"status": "error",
"message": f"Discord API error: {resp.status_code}",
}
messages = [
{
"id": m["id"],
"author": m.get("author", {}).get("username", "Unknown"),
"content": m.get("content", ""),
"timestamp": m.get("timestamp", ""),
}
for m in resp.json()
]
return {
"status": "success",
"channel_id": channel_id,
"messages": messages,
"total": len(messages),
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -6,6 +6,7 @@ from langchain_core.tools import tool
from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.tools.hitl import request_approval
from app.db import async_session_maker
from ._auth import DISCORD_API, get_bot_token, get_discord_connector
@ -17,6 +18,23 @@ def create_send_discord_message_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the send_discord_message tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured send_discord_message tool
"""
del db_session # per-call session — see docstring
@tool
async def send_discord_message(
channel_id: str,
@ -34,7 +52,7 @@ def create_send_discord_message_tool(
IMPORTANT:
- If status is "rejected", the user explicitly declined. Do NOT retry.
"""
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {
"status": "error",
"message": "Discord tool not properly configured.",
@ -47,64 +65,65 @@ def create_send_discord_message_tool(
}
try:
connector = await get_discord_connector(
db_session, search_space_id, user_id
)
if not connector:
return {"status": "error", "message": "No Discord connector found."}
async with async_session_maker() as db_session:
connector = await get_discord_connector(
db_session, search_space_id, user_id
)
if not connector:
return {"status": "error", "message": "No Discord connector found."}
result = request_approval(
action_type="discord_send_message",
tool_name="send_discord_message",
params={"channel_id": channel_id, "content": content},
context={"connector_id": connector.id},
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Message was not sent.",
}
final_content = result.params.get("content", content)
final_channel = result.params.get("channel_id", channel_id)
token = get_bot_token(connector)
async with httpx.AsyncClient() as client:
resp = await client.post(
f"{DISCORD_API}/channels/{final_channel}/messages",
headers={
"Authorization": f"Bot {token}",
"Content-Type": "application/json",
},
json={"content": final_content},
timeout=15.0,
result = request_approval(
action_type="discord_send_message",
tool_name="send_discord_message",
params={"channel_id": channel_id, "content": content},
context={"connector_id": connector.id},
)
if resp.status_code == 401:
return {
"status": "auth_error",
"message": "Discord bot token is invalid.",
"connector_type": "discord",
}
if resp.status_code == 403:
return {
"status": "error",
"message": "Bot lacks permission to send messages in this channel.",
}
if resp.status_code not in (200, 201):
return {
"status": "error",
"message": f"Discord API error: {resp.status_code}",
}
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Message was not sent.",
}
msg_data = resp.json()
return {
"status": "success",
"message_id": msg_data.get("id"),
"message": f"Message sent to channel {final_channel}.",
}
final_content = result.params.get("content", content)
final_channel = result.params.get("channel_id", channel_id)
token = get_bot_token(connector)
async with httpx.AsyncClient() as client:
resp = await client.post(
f"{DISCORD_API}/channels/{final_channel}/messages",
headers={
"Authorization": f"Bot {token}",
"Content-Type": "application/json",
},
json={"content": final_content},
timeout=15.0,
)
if resp.status_code == 401:
return {
"status": "auth_error",
"message": "Discord bot token is invalid.",
"connector_type": "discord",
}
if resp.status_code == 403:
return {
"status": "error",
"message": "Bot lacks permission to send messages in this channel.",
}
if resp.status_code not in (200, 201):
return {
"status": "error",
"message": f"Discord API error: {resp.status_code}",
}
msg_data = resp.json()
return {
"status": "success",
"message_id": msg_data.get("id"),
"message": f"Message sent to channel {final_channel}.",
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -10,7 +10,7 @@ from sqlalchemy.future import select
from app.agents.new_chat.tools.hitl import request_approval
from app.connectors.dropbox.client import DropboxClient
from app.db import SearchSourceConnector, SearchSourceConnectorType
from app.db import SearchSourceConnector, SearchSourceConnectorType, async_session_maker
logger = logging.getLogger(__name__)
@ -59,6 +59,23 @@ def create_create_dropbox_file_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the create_dropbox_file tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured create_dropbox_file tool
"""
del db_session # per-call session — see docstring
@tool
async def create_dropbox_file(
name: str,
@ -82,184 +99,191 @@ def create_create_dropbox_file_tool(
f"create_dropbox_file called: name='{name}', file_type='{file_type}'"
)
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {
"status": "error",
"message": "Dropbox tool not properly configured.",
}
try:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.DROPBOX_CONNECTOR,
)
)
connectors = result.scalars().all()
if not connectors:
return {
"status": "error",
"message": "No Dropbox connector found. Please connect Dropbox in your workspace settings.",
}
accounts = []
for c in connectors:
cfg = c.config or {}
accounts.append(
{
"id": c.id,
"name": c.name,
"user_email": cfg.get("user_email"),
"auth_expired": cfg.get("auth_expired", False),
}
)
if all(a.get("auth_expired") for a in accounts):
return {
"status": "auth_error",
"message": "All connected Dropbox accounts need re-authentication.",
"connector_type": "dropbox",
}
parent_folders: dict[int, list[dict[str, str]]] = {}
for acc in accounts:
cid = acc["id"]
if acc.get("auth_expired"):
parent_folders[cid] = []
continue
try:
client = DropboxClient(session=db_session, connector_id=cid)
items, err = await client.list_folder("")
if err:
logger.warning(
"Failed to list folders for connector %s: %s", cid, err
)
parent_folders[cid] = []
else:
parent_folders[cid] = [
{
"folder_path": item.get("path_lower", ""),
"name": item["name"],
}
for item in items
if item.get(".tag") == "folder" and item.get("name")
]
except Exception:
logger.warning(
"Error fetching folders for connector %s", cid, exc_info=True
)
parent_folders[cid] = []
context: dict[str, Any] = {
"accounts": accounts,
"parent_folders": parent_folders,
"supported_types": _SUPPORTED_TYPES,
}
result = request_approval(
action_type="dropbox_file_creation",
tool_name="create_dropbox_file",
params={
"name": name,
"file_type": file_type,
"content": content,
"connector_id": None,
"parent_folder_path": None,
},
context=context,
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_name = result.params.get("name", name)
final_file_type = result.params.get("file_type", file_type)
final_content = result.params.get("content", content)
final_connector_id = result.params.get("connector_id")
final_parent_folder_path = result.params.get("parent_folder_path")
if not final_name or not final_name.strip():
return {"status": "error", "message": "File name cannot be empty."}
final_name = _ensure_extension(final_name, final_file_type)
if final_connector_id is not None:
async with async_session_maker() as db_session:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.DROPBOX_CONNECTOR,
)
)
connector = result.scalars().first()
else:
connector = connectors[0]
connectors = result.scalars().all()
if not connector:
return {
"status": "error",
"message": "Selected Dropbox connector is invalid.",
if not connectors:
return {
"status": "error",
"message": "No Dropbox connector found. Please connect Dropbox in your workspace settings.",
}
accounts = []
for c in connectors:
cfg = c.config or {}
accounts.append(
{
"id": c.id,
"name": c.name,
"user_email": cfg.get("user_email"),
"auth_expired": cfg.get("auth_expired", False),
}
)
if all(a.get("auth_expired") for a in accounts):
return {
"status": "auth_error",
"message": "All connected Dropbox accounts need re-authentication.",
"connector_type": "dropbox",
}
parent_folders: dict[int, list[dict[str, str]]] = {}
for acc in accounts:
cid = acc["id"]
if acc.get("auth_expired"):
parent_folders[cid] = []
continue
try:
client = DropboxClient(session=db_session, connector_id=cid)
items, err = await client.list_folder("")
if err:
logger.warning(
"Failed to list folders for connector %s: %s", cid, err
)
parent_folders[cid] = []
else:
parent_folders[cid] = [
{
"folder_path": item.get("path_lower", ""),
"name": item["name"],
}
for item in items
if item.get(".tag") == "folder" and item.get("name")
]
except Exception:
logger.warning(
"Error fetching folders for connector %s",
cid,
exc_info=True,
)
parent_folders[cid] = []
context: dict[str, Any] = {
"accounts": accounts,
"parent_folders": parent_folders,
"supported_types": _SUPPORTED_TYPES,
}
client = DropboxClient(session=db_session, connector_id=connector.id)
parent_path = final_parent_folder_path or ""
file_path = (
f"{parent_path}/{final_name}" if parent_path else f"/{final_name}"
)
if final_file_type == "paper":
created = await client.create_paper_doc(file_path, final_content or "")
file_id = created.get("file_id", "")
web_url = created.get("url", "")
else:
docx_bytes = _markdown_to_docx(final_content or "")
created = await client.upload_file(
file_path, docx_bytes, mode="add", autorename=True
result = request_approval(
action_type="dropbox_file_creation",
tool_name="create_dropbox_file",
params={
"name": name,
"file_type": file_type,
"content": content,
"connector_id": None,
"parent_folder_path": None,
},
context=context,
)
file_id = created.get("id", "")
web_url = ""
logger.info(f"Dropbox file created: id={file_id}, name={final_name}")
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
kb_message_suffix = ""
try:
from app.services.dropbox import DropboxKBSyncService
final_name = result.params.get("name", name)
final_file_type = result.params.get("file_type", file_type)
final_content = result.params.get("content", content)
final_connector_id = result.params.get("connector_id")
final_parent_folder_path = result.params.get("parent_folder_path")
kb_service = DropboxKBSyncService(db_session)
kb_result = await kb_service.sync_after_create(
file_id=file_id,
file_name=final_name,
file_path=file_path,
web_url=web_url,
content=final_content,
connector_id=connector.id,
search_space_id=search_space_id,
user_id=user_id,
)
if kb_result["status"] == "success":
kb_message_suffix = " Your knowledge base has also been updated."
if not final_name or not final_name.strip():
return {"status": "error", "message": "File name cannot be empty."}
final_name = _ensure_extension(final_name, final_file_type)
if final_connector_id is not None:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.DROPBOX_CONNECTOR,
)
)
connector = result.scalars().first()
else:
kb_message_suffix = " This file will be added to your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after create failed: {kb_err}")
kb_message_suffix = " This file will be added to your knowledge base in the next scheduled sync."
connector = connectors[0]
return {
"status": "success",
"file_id": file_id,
"name": final_name,
"web_url": web_url,
"message": f"Successfully created '{final_name}' in Dropbox.{kb_message_suffix}",
}
if not connector:
return {
"status": "error",
"message": "Selected Dropbox connector is invalid.",
}
client = DropboxClient(session=db_session, connector_id=connector.id)
parent_path = final_parent_folder_path or ""
file_path = (
f"{parent_path}/{final_name}" if parent_path else f"/{final_name}"
)
if final_file_type == "paper":
created = await client.create_paper_doc(
file_path, final_content or ""
)
file_id = created.get("file_id", "")
web_url = created.get("url", "")
else:
docx_bytes = _markdown_to_docx(final_content or "")
created = await client.upload_file(
file_path, docx_bytes, mode="add", autorename=True
)
file_id = created.get("id", "")
web_url = ""
logger.info(f"Dropbox file created: id={file_id}, name={final_name}")
kb_message_suffix = ""
try:
from app.services.dropbox import DropboxKBSyncService
kb_service = DropboxKBSyncService(db_session)
kb_result = await kb_service.sync_after_create(
file_id=file_id,
file_name=final_name,
file_path=file_path,
web_url=web_url,
content=final_content,
connector_id=connector.id,
search_space_id=search_space_id,
user_id=user_id,
)
if kb_result["status"] == "success":
kb_message_suffix = (
" Your knowledge base has also been updated."
)
else:
kb_message_suffix = " This file will be added to your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after create failed: {kb_err}")
kb_message_suffix = " This file will be added to your knowledge base in the next scheduled sync."
return {
"status": "success",
"file_id": file_id,
"name": final_name,
"web_url": web_url,
"message": f"Successfully created '{final_name}' in Dropbox.{kb_message_suffix}",
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -13,6 +13,7 @@ from app.db import (
DocumentType,
SearchSourceConnector,
SearchSourceConnectorType,
async_session_maker,
)
logger = logging.getLogger(__name__)
@ -23,6 +24,23 @@ def create_delete_dropbox_file_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the delete_dropbox_file tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured delete_dropbox_file tool
"""
del db_session # per-call session — see docstring
@tool
async def delete_dropbox_file(
file_name: str,
@ -55,33 +73,14 @@ def create_delete_dropbox_file_tool(
f"delete_dropbox_file called: file_name='{file_name}', delete_from_kb={delete_from_kb}"
)
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {
"status": "error",
"message": "Dropbox tool not properly configured.",
}
try:
doc_result = await db_session.execute(
select(Document)
.join(
SearchSourceConnector,
Document.connector_id == SearchSourceConnector.id,
)
.filter(
and_(
Document.search_space_id == search_space_id,
Document.document_type == DocumentType.DROPBOX_FILE,
func.lower(Document.title) == func.lower(file_name),
SearchSourceConnector.user_id == user_id,
)
)
.order_by(Document.updated_at.desc().nullslast())
.limit(1)
)
document = doc_result.scalars().first()
if not document:
async with async_session_maker() as db_session:
doc_result = await db_session.execute(
select(Document)
.join(
@ -92,13 +91,7 @@ def create_delete_dropbox_file_tool(
and_(
Document.search_space_id == search_space_id,
Document.document_type == DocumentType.DROPBOX_FILE,
func.lower(
cast(
Document.document_metadata["dropbox_file_name"],
String,
)
)
== func.lower(file_name),
func.lower(Document.title) == func.lower(file_name),
SearchSourceConnector.user_id == user_id,
)
)
@ -107,99 +100,63 @@ def create_delete_dropbox_file_tool(
)
document = doc_result.scalars().first()
if not document:
return {
"status": "not_found",
"message": (
f"File '{file_name}' not found in your indexed Dropbox files. "
"This could mean: (1) the file doesn't exist, (2) it hasn't been indexed yet, "
"or (3) the file name is different."
),
}
if not document.connector_id:
return {
"status": "error",
"message": "Document has no associated connector.",
}
meta = document.document_metadata or {}
file_path = meta.get("dropbox_path")
file_id = meta.get("dropbox_file_id")
document_id = document.id
if not file_path:
return {
"status": "error",
"message": "File path is missing. Please re-index the file.",
}
conn_result = await db_session.execute(
select(SearchSourceConnector).filter(
and_(
SearchSourceConnector.id == document.connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.DROPBOX_CONNECTOR,
if not document:
doc_result = await db_session.execute(
select(Document)
.join(
SearchSourceConnector,
Document.connector_id == SearchSourceConnector.id,
)
.filter(
and_(
Document.search_space_id == search_space_id,
Document.document_type == DocumentType.DROPBOX_FILE,
func.lower(
cast(
Document.document_metadata["dropbox_file_name"],
String,
)
)
== func.lower(file_name),
SearchSourceConnector.user_id == user_id,
)
)
.order_by(Document.updated_at.desc().nullslast())
.limit(1)
)
)
)
connector = conn_result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Dropbox connector not found or access denied.",
}
document = doc_result.scalars().first()
cfg = connector.config or {}
if cfg.get("auth_expired"):
return {
"status": "auth_error",
"message": "Dropbox account needs re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "dropbox",
}
if not document:
return {
"status": "not_found",
"message": (
f"File '{file_name}' not found in your indexed Dropbox files. "
"This could mean: (1) the file doesn't exist, (2) it hasn't been indexed yet, "
"or (3) the file name is different."
),
}
context = {
"file": {
"file_id": file_id,
"file_path": file_path,
"name": file_name,
"document_id": document_id,
},
"account": {
"id": connector.id,
"name": connector.name,
"user_email": cfg.get("user_email"),
},
}
if not document.connector_id:
return {
"status": "error",
"message": "Document has no associated connector.",
}
result = request_approval(
action_type="dropbox_file_trash",
tool_name="delete_dropbox_file",
params={
"file_path": file_path,
"connector_id": connector.id,
"delete_from_kb": delete_from_kb,
},
context=context,
)
meta = document.document_metadata or {}
file_path = meta.get("dropbox_path")
file_id = meta.get("dropbox_file_id")
document_id = document.id
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
if not file_path:
return {
"status": "error",
"message": "File path is missing. Please re-index the file.",
}
final_file_path = result.params.get("file_path", file_path)
final_connector_id = result.params.get("connector_id", connector.id)
final_delete_from_kb = result.params.get("delete_from_kb", delete_from_kb)
if final_connector_id != connector.id:
result = await db_session.execute(
conn_result = await db_session.execute(
select(SearchSourceConnector).filter(
and_(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.id == document.connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
@ -207,61 +164,128 @@ def create_delete_dropbox_file_tool(
)
)
)
validated_connector = result.scalars().first()
if not validated_connector:
connector = conn_result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Dropbox connector is invalid or has been disconnected.",
"message": "Dropbox connector not found or access denied.",
}
actual_connector_id = validated_connector.id
else:
actual_connector_id = connector.id
logger.info(
f"Deleting Dropbox file: path='{final_file_path}', connector={actual_connector_id}"
)
cfg = connector.config or {}
if cfg.get("auth_expired"):
return {
"status": "auth_error",
"message": "Dropbox account needs re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "dropbox",
}
client = DropboxClient(session=db_session, connector_id=actual_connector_id)
await client.delete_file(final_file_path)
context = {
"file": {
"file_id": file_id,
"file_path": file_path,
"name": file_name,
"document_id": document_id,
},
"account": {
"id": connector.id,
"name": connector.name,
"user_email": cfg.get("user_email"),
},
}
logger.info(f"Dropbox file deleted: path={final_file_path}")
trash_result: dict[str, Any] = {
"status": "success",
"file_id": file_id,
"message": f"Successfully deleted '{file_name}' from Dropbox.",
}
deleted_from_kb = False
if final_delete_from_kb and document_id:
try:
doc_result = await db_session.execute(
select(Document).filter(Document.id == document_id)
)
doc = doc_result.scalars().first()
if doc:
await db_session.delete(doc)
await db_session.commit()
deleted_from_kb = True
logger.info(
f"Deleted document {document_id} from knowledge base"
)
else:
logger.warning(f"Document {document_id} not found in KB")
except Exception as e:
logger.error(f"Failed to delete document from KB: {e}")
await db_session.rollback()
trash_result["warning"] = (
f"File deleted, but failed to remove from knowledge base: {e!s}"
)
trash_result["deleted_from_kb"] = deleted_from_kb
if deleted_from_kb:
trash_result["message"] = (
f"{trash_result.get('message', '')} (also removed from knowledge base)"
result = request_approval(
action_type="dropbox_file_trash",
tool_name="delete_dropbox_file",
params={
"file_path": file_path,
"connector_id": connector.id,
"delete_from_kb": delete_from_kb,
},
context=context,
)
return trash_result
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_file_path = result.params.get("file_path", file_path)
final_connector_id = result.params.get("connector_id", connector.id)
final_delete_from_kb = result.params.get(
"delete_from_kb", delete_from_kb
)
if final_connector_id != connector.id:
result = await db_session.execute(
select(SearchSourceConnector).filter(
and_(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id
== search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.DROPBOX_CONNECTOR,
)
)
)
validated_connector = result.scalars().first()
if not validated_connector:
return {
"status": "error",
"message": "Selected Dropbox connector is invalid or has been disconnected.",
}
actual_connector_id = validated_connector.id
else:
actual_connector_id = connector.id
logger.info(
f"Deleting Dropbox file: path='{final_file_path}', connector={actual_connector_id}"
)
client = DropboxClient(
session=db_session, connector_id=actual_connector_id
)
await client.delete_file(final_file_path)
logger.info(f"Dropbox file deleted: path={final_file_path}")
trash_result: dict[str, Any] = {
"status": "success",
"file_id": file_id,
"message": f"Successfully deleted '{file_name}' from Dropbox.",
}
deleted_from_kb = False
if final_delete_from_kb and document_id:
try:
doc_result = await db_session.execute(
select(Document).filter(Document.id == document_id)
)
doc = doc_result.scalars().first()
if doc:
await db_session.delete(doc)
await db_session.commit()
deleted_from_kb = True
logger.info(
f"Deleted document {document_id} from knowledge base"
)
else:
logger.warning(f"Document {document_id} not found in KB")
except Exception as e:
logger.error(f"Failed to delete document from KB: {e}")
await db_session.rollback()
trash_result["warning"] = (
f"File deleted, but failed to remove from knowledge base: {e!s}"
)
trash_result["deleted_from_kb"] = deleted_from_kb
if deleted_from_kb:
trash_result["message"] = (
f"{trash_result.get('message', '')} (also removed from knowledge base)"
)
return trash_result
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -31,6 +31,7 @@ from app.services.image_gen_router_service import (
ImageGenRouterService,
is_image_gen_auto_mode,
)
from app.services.provider_api_base import resolve_api_base
from app.utils.signed_image_urls import generate_image_token
logger = logging.getLogger(__name__)
@ -49,12 +50,16 @@ _PROVIDER_MAP = {
}
def _resolve_provider_prefix(provider: str, custom_provider: str | None) -> str:
if custom_provider:
return custom_provider
return _PROVIDER_MAP.get(provider.upper(), provider.lower())
def _build_model_string(
provider: str, model_name: str, custom_provider: str | None
) -> str:
if custom_provider:
return f"{custom_provider}/{model_name}"
prefix = _PROVIDER_MAP.get(provider.upper(), provider.lower())
prefix = _resolve_provider_prefix(provider, custom_provider)
return f"{prefix}/{model_name}"
@ -146,14 +151,18 @@ def create_generate_image_tool(
"error": f"Image generation config {config_id} not found"
}
model_string = _build_model_string(
cfg.get("provider", ""),
cfg["model_name"],
cfg.get("custom_provider"),
provider_prefix = _resolve_provider_prefix(
cfg.get("provider", ""), cfg.get("custom_provider")
)
model_string = f"{provider_prefix}/{cfg['model_name']}"
gen_kwargs["api_key"] = cfg.get("api_key")
if cfg.get("api_base"):
gen_kwargs["api_base"] = cfg["api_base"]
api_base = resolve_api_base(
provider=cfg.get("provider"),
provider_prefix=provider_prefix,
config_api_base=cfg.get("api_base"),
)
if api_base:
gen_kwargs["api_base"] = api_base
if cfg.get("api_version"):
gen_kwargs["api_version"] = cfg["api_version"]
if cfg.get("litellm_params"):
@ -175,14 +184,18 @@ def create_generate_image_tool(
"error": f"Image generation config {config_id} not found"
}
model_string = _build_model_string(
db_cfg.provider.value,
db_cfg.model_name,
db_cfg.custom_provider,
provider_prefix = _resolve_provider_prefix(
db_cfg.provider.value, db_cfg.custom_provider
)
model_string = f"{provider_prefix}/{db_cfg.model_name}"
gen_kwargs["api_key"] = db_cfg.api_key
if db_cfg.api_base:
gen_kwargs["api_base"] = db_cfg.api_base
api_base = resolve_api_base(
provider=db_cfg.provider.value,
provider_prefix=provider_prefix,
config_api_base=db_cfg.api_base,
)
if api_base:
gen_kwargs["api_base"] = api_base
if db_cfg.api_version:
gen_kwargs["api_version"] = db_cfg.api_version
if db_cfg.litellm_params:

View file

@ -0,0 +1,41 @@
from typing import Any
from app.db import SearchSourceConnector
from app.services.composio_service import ComposioService
def split_recipients(value: str | None) -> list[str]:
if not value:
return []
return [recipient.strip() for recipient in value.split(",") if recipient.strip()]
def unwrap_composio_data(data: Any) -> Any:
if isinstance(data, dict):
inner = data.get("data", data)
if isinstance(inner, dict):
return inner.get("response_data", inner)
return inner
return data
async def execute_composio_gmail_tool(
connector: SearchSourceConnector,
user_id: str,
tool_name: str,
params: dict[str, Any],
) -> tuple[Any, str | None]:
cca_id = connector.config.get("composio_connected_account_id")
if not cca_id:
return None, "Composio connected account ID not found for this Gmail connector."
result = await ComposioService().execute_tool(
connected_account_id=cca_id,
tool_name=tool_name,
params=params,
entity_id=f"surfsense_{user_id}",
)
if not result.get("success"):
return None, result.get("error", "Unknown Composio Gmail error")
return unwrap_composio_data(result.get("data")), None

View file

@ -9,6 +9,7 @@ from langchain_core.tools import tool
from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.tools.hitl import request_approval
from app.db import async_session_maker
from app.services.gmail import GmailToolMetadataService
logger = logging.getLogger(__name__)
@ -19,6 +20,23 @@ def create_create_gmail_draft_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the create_gmail_draft tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured create_gmail_draft tool
"""
del db_session # per-call session — see docstring
@tool
async def create_gmail_draft(
to: str,
@ -57,246 +75,276 @@ def create_create_gmail_draft_tool(
"""
logger.info(f"create_gmail_draft called: to='{to}', subject='{subject}'")
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {
"status": "error",
"message": "Gmail tool not properly configured. Please contact support.",
}
try:
metadata_service = GmailToolMetadataService(db_session)
context = await metadata_service.get_creation_context(
search_space_id, user_id
)
if "error" in context:
logger.error(f"Failed to fetch creation context: {context['error']}")
return {"status": "error", "message": context["error"]}
accounts = context.get("accounts", [])
if accounts and all(a.get("auth_expired") for a in accounts):
logger.warning("All Gmail accounts have expired authentication")
return {
"status": "auth_error",
"message": "All connected Gmail accounts need re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "gmail",
}
logger.info(
f"Requesting approval for creating Gmail draft: to='{to}', subject='{subject}'"
)
result = request_approval(
action_type="gmail_draft_creation",
tool_name="create_gmail_draft",
params={
"to": to,
"subject": subject,
"body": body,
"cc": cc,
"bcc": bcc,
"connector_id": None,
},
context=context,
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. The draft was not created. Do not ask again or suggest alternatives.",
}
final_to = result.params.get("to", to)
final_subject = result.params.get("subject", subject)
final_body = result.params.get("body", body)
final_cc = result.params.get("cc", cc)
final_bcc = result.params.get("bcc", bcc)
final_connector_id = result.params.get("connector_id")
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
_gmail_types = [
SearchSourceConnectorType.GOOGLE_GMAIL_CONNECTOR,
SearchSourceConnectorType.COMPOSIO_GMAIL_CONNECTOR,
]
if final_connector_id is not None:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_gmail_types),
)
async with async_session_maker() as db_session:
metadata_service = GmailToolMetadataService(db_session)
context = await metadata_service.get_creation_context(
search_space_id, user_id
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Gmail connector is invalid or has been disconnected.",
}
actual_connector_id = connector.id
else:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_gmail_types),
if "error" in context:
logger.error(
f"Failed to fetch creation context: {context['error']}"
)
)
connector = result.scalars().first()
if not connector:
return {"status": "error", "message": context["error"]}
accounts = context.get("accounts", [])
if accounts and all(a.get("auth_expired") for a in accounts):
logger.warning("All Gmail accounts have expired authentication")
return {
"status": "error",
"message": "No Gmail connector found. Please connect Gmail in your workspace settings.",
"status": "auth_error",
"message": "All connected Gmail accounts need re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "gmail",
}
actual_connector_id = connector.id
logger.info(
f"Creating Gmail draft: to='{final_to}', subject='{final_subject}', connector={actual_connector_id}"
)
logger.info(
f"Requesting approval for creating Gmail draft: to='{to}', subject='{subject}'"
)
result = request_approval(
action_type="gmail_draft_creation",
tool_name="create_gmail_draft",
params={
"to": to,
"subject": subject,
"body": body,
"cc": cc,
"bcc": bcc,
"connector_id": None,
},
context=context,
)
if (
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GMAIL_CONNECTOR
):
from app.utils.google_credentials import build_composio_credentials
if result.rejected:
return {
"status": "rejected",
"message": "User declined. The draft was not created. Do not ask again or suggest alternatives.",
}
cca_id = connector.config.get("composio_connected_account_id")
if cca_id:
creds = build_composio_credentials(cca_id)
final_to = result.params.get("to", to)
final_subject = result.params.get("subject", subject)
final_body = result.params.get("body", body)
final_cc = result.params.get("cc", cc)
final_bcc = result.params.get("bcc", bcc)
final_connector_id = result.params.get("connector_id")
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
_gmail_types = [
SearchSourceConnectorType.GOOGLE_GMAIL_CONNECTOR,
SearchSourceConnectorType.COMPOSIO_GMAIL_CONNECTOR,
]
if final_connector_id is not None:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_gmail_types),
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Gmail connector is invalid or has been disconnected.",
}
actual_connector_id = connector.id
else:
return {
"status": "error",
"message": "Composio connected account ID not found for this Gmail connector.",
}
else:
from google.oauth2.credentials import Credentials
from app.config import config
from app.utils.oauth_security import TokenEncryption
config_data = dict(connector.config)
token_encrypted = config_data.get("_token_encrypted", False)
if token_encrypted and config.SECRET_KEY:
token_encryption = TokenEncryption(config.SECRET_KEY)
if config_data.get("token"):
config_data["token"] = token_encryption.decrypt_token(
config_data["token"]
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_gmail_types),
)
if config_data.get("refresh_token"):
config_data["refresh_token"] = token_encryption.decrypt_token(
config_data["refresh_token"]
)
if config_data.get("client_secret"):
config_data["client_secret"] = token_encryption.decrypt_token(
config_data["client_secret"]
)
exp = config_data.get("expiry", "")
if exp:
exp = exp.replace("Z", "")
creds = Credentials(
token=config_data.get("token"),
refresh_token=config_data.get("refresh_token"),
token_uri=config_data.get("token_uri"),
client_id=config_data.get("client_id"),
client_secret=config_data.get("client_secret"),
scopes=config_data.get("scopes", []),
expiry=datetime.fromisoformat(exp) if exp else None,
)
from googleapiclient.discovery import build
gmail_service = build("gmail", "v1", credentials=creds)
message = MIMEText(final_body)
message["to"] = final_to
message["subject"] = final_subject
if final_cc:
message["cc"] = final_cc
if final_bcc:
message["bcc"] = final_bcc
raw = base64.urlsafe_b64encode(message.as_bytes()).decode()
try:
created = await asyncio.get_event_loop().run_in_executor(
None,
lambda: (
gmail_service.users()
.drafts()
.create(userId="me", body={"message": {"raw": raw}})
.execute()
),
)
except Exception as api_err:
from googleapiclient.errors import HttpError
if isinstance(api_err, HttpError) and api_err.resp.status == 403:
logger.warning(
f"Insufficient permissions for connector {actual_connector_id}: {api_err}"
)
try:
from sqlalchemy.orm.attributes import flag_modified
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "No Gmail connector found. Please connect Gmail in your workspace settings.",
}
actual_connector_id = connector.id
_res = await db_session.execute(
select(SearchSourceConnector).where(
SearchSourceConnector.id == actual_connector_id
logger.info(
f"Creating Gmail draft: to='{final_to}', subject='{final_subject}', connector={actual_connector_id}"
)
is_composio_gmail = (
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GMAIL_CONNECTOR
)
if is_composio_gmail:
cca_id = connector.config.get("composio_connected_account_id")
if not cca_id:
return {
"status": "error",
"message": "Composio connected account ID not found for this Gmail connector.",
}
else:
from google.oauth2.credentials import Credentials
from app.config import config
from app.utils.oauth_security import TokenEncryption
config_data = dict(connector.config)
token_encrypted = config_data.get("_token_encrypted", False)
if token_encrypted and config.SECRET_KEY:
token_encryption = TokenEncryption(config.SECRET_KEY)
if config_data.get("token"):
config_data["token"] = token_encryption.decrypt_token(
config_data["token"]
)
if config_data.get("refresh_token"):
config_data["refresh_token"] = (
token_encryption.decrypt_token(
config_data["refresh_token"]
)
)
if config_data.get("client_secret"):
config_data["client_secret"] = (
token_encryption.decrypt_token(
config_data["client_secret"]
)
)
exp = config_data.get("expiry", "")
if exp:
exp = exp.replace("Z", "")
creds = Credentials(
token=config_data.get("token"),
refresh_token=config_data.get("refresh_token"),
token_uri=config_data.get("token_uri"),
client_id=config_data.get("client_id"),
client_secret=config_data.get("client_secret"),
scopes=config_data.get("scopes", []),
expiry=datetime.fromisoformat(exp) if exp else None,
)
message = MIMEText(final_body)
message["to"] = final_to
message["subject"] = final_subject
if final_cc:
message["cc"] = final_cc
if final_bcc:
message["bcc"] = final_bcc
raw = base64.urlsafe_b64encode(message.as_bytes()).decode()
try:
if is_composio_gmail:
from app.agents.new_chat.tools.gmail.composio_helpers import (
execute_composio_gmail_tool,
split_recipients,
)
_conn = _res.scalar_one_or_none()
if _conn and not _conn.config.get("auth_expired"):
_conn.config = {**_conn.config, "auth_expired": True}
flag_modified(_conn, "config")
await db_session.commit()
except Exception:
created, error = await execute_composio_gmail_tool(
connector,
user_id,
"GMAIL_CREATE_EMAIL_DRAFT",
{
"user_id": "me",
"recipient_email": final_to,
"subject": final_subject,
"body": final_body,
"cc": split_recipients(final_cc),
"bcc": split_recipients(final_bcc),
"is_html": False,
},
)
if error:
raise RuntimeError(error)
if not isinstance(created, dict):
created = {}
else:
from googleapiclient.discovery import build
gmail_service = build("gmail", "v1", credentials=creds)
created = await asyncio.get_event_loop().run_in_executor(
None,
lambda: (
gmail_service.users()
.drafts()
.create(userId="me", body={"message": {"raw": raw}})
.execute()
),
)
except Exception as api_err:
from googleapiclient.errors import HttpError
if isinstance(api_err, HttpError) and api_err.resp.status == 403:
logger.warning(
"Failed to persist auth_expired for connector %s",
actual_connector_id,
exc_info=True,
f"Insufficient permissions for connector {actual_connector_id}: {api_err}"
)
return {
"status": "insufficient_permissions",
"connector_id": actual_connector_id,
"message": "This Gmail account needs additional permissions. Please re-authenticate in connector settings.",
}
raise
try:
from sqlalchemy.orm.attributes import flag_modified
logger.info(f"Gmail draft created: id={created.get('id')}")
_res = await db_session.execute(
select(SearchSourceConnector).where(
SearchSourceConnector.id == actual_connector_id
)
)
_conn = _res.scalar_one_or_none()
if _conn and not _conn.config.get("auth_expired"):
_conn.config = {**_conn.config, "auth_expired": True}
flag_modified(_conn, "config")
await db_session.commit()
except Exception:
logger.warning(
"Failed to persist auth_expired for connector %s",
actual_connector_id,
exc_info=True,
)
return {
"status": "insufficient_permissions",
"connector_id": actual_connector_id,
"message": "This Gmail account needs additional permissions. Please re-authenticate in connector settings.",
}
raise
kb_message_suffix = ""
try:
from app.services.gmail import GmailKBSyncService
logger.info(f"Gmail draft created: id={created.get('id')}")
kb_service = GmailKBSyncService(db_session)
draft_message = created.get("message", {})
kb_result = await kb_service.sync_after_create(
message_id=draft_message.get("id", ""),
thread_id=draft_message.get("threadId", ""),
subject=final_subject,
sender="me",
date_str=datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
body_text=final_body,
connector_id=actual_connector_id,
search_space_id=search_space_id,
user_id=user_id,
draft_id=created.get("id"),
)
if kb_result["status"] == "success":
kb_message_suffix = " Your knowledge base has also been updated."
else:
kb_message_suffix = ""
try:
from app.services.gmail import GmailKBSyncService
kb_service = GmailKBSyncService(db_session)
draft_message = created.get("message", {})
kb_result = await kb_service.sync_after_create(
message_id=draft_message.get("id", ""),
thread_id=draft_message.get("threadId", ""),
subject=final_subject,
sender="me",
date_str=datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
body_text=final_body,
connector_id=actual_connector_id,
search_space_id=search_space_id,
user_id=user_id,
draft_id=created.get("id"),
)
if kb_result["status"] == "success":
kb_message_suffix = (
" Your knowledge base has also been updated."
)
else:
kb_message_suffix = " This draft will be added to your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after create failed: {kb_err}")
kb_message_suffix = " This draft will be added to your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after create failed: {kb_err}")
kb_message_suffix = " This draft will be added to your knowledge base in the next scheduled sync."
return {
"status": "success",
"draft_id": created.get("id"),
"message": f"Successfully created Gmail draft with subject '{final_subject}'.{kb_message_suffix}",
}
return {
"status": "success",
"draft_id": created.get("id"),
"message": f"Successfully created Gmail draft with subject '{final_subject}'.{kb_message_suffix}",
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -5,7 +5,7 @@ from langchain_core.tools import tool
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
from app.db import SearchSourceConnector, SearchSourceConnectorType, async_session_maker
logger = logging.getLogger(__name__)
@ -20,6 +20,23 @@ def create_read_gmail_email_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the read_gmail_email tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured read_gmail_email tool
"""
del db_session # per-call session — see docstring
@tool
async def read_gmail_email(message_id: str) -> dict[str, Any]:
"""Read the full content of a specific Gmail email by its message ID.
@ -32,60 +49,115 @@ def create_read_gmail_email_tool(
Returns:
Dictionary with status and the full email content formatted as markdown.
"""
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {"status": "error", "message": "Gmail tool not properly configured."}
try:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_GMAIL_TYPES),
async with async_session_maker() as db_session:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_GMAIL_TYPES),
)
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "No Gmail connector found. Please connect Gmail in your workspace settings.",
}
from app.agents.new_chat.tools.gmail.search_emails import _build_credentials
creds = _build_credentials(connector)
from app.connectors.google_gmail_connector import GoogleGmailConnector
gmail = GoogleGmailConnector(
credentials=creds,
session=db_session,
user_id=user_id,
connector_id=connector.id,
)
detail, error = await gmail.get_message_details(message_id)
if error:
if (
"re-authenticate" in error.lower()
or "authentication failed" in error.lower()
):
connector = result.scalars().first()
if not connector:
return {
"status": "auth_error",
"message": error,
"connector_type": "gmail",
"status": "error",
"message": "No Gmail connector found. Please connect Gmail in your workspace settings.",
}
return {"status": "error", "message": error}
if not detail:
if (
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GMAIL_CONNECTOR
):
cca_id = connector.config.get("composio_connected_account_id")
if not cca_id:
return {
"status": "error",
"message": "Composio connected account ID not found.",
}
from app.agents.new_chat.tools.gmail.search_emails import (
_format_gmail_summary,
)
from app.services.composio_service import ComposioService
service = ComposioService()
detail, error = await service.get_gmail_message_detail(
connected_account_id=cca_id,
entity_id=f"surfsense_{user_id}",
message_id=message_id,
)
if error:
return {"status": "error", "message": error}
if not detail:
return {
"status": "not_found",
"message": f"Email with ID '{message_id}' not found.",
}
summary = _format_gmail_summary(detail)
content = (
f"# {summary['subject']}\n\n"
f"**From:** {summary['from']}\n"
f"**To:** {summary['to']}\n"
f"**Date:** {summary['date']}\n\n"
f"## Message Content\n\n"
f"{detail.get('messageText') or detail.get('snippet') or ''}\n\n"
f"## Message Details\n\n"
f"- **Message ID:** {summary['message_id']}\n"
f"- **Thread ID:** {summary['thread_id']}\n"
)
return {
"status": "success",
"message_id": summary["message_id"] or message_id,
"content": content,
}
from app.agents.new_chat.tools.gmail.search_emails import (
_build_credentials,
)
creds = _build_credentials(connector)
from app.connectors.google_gmail_connector import GoogleGmailConnector
gmail = GoogleGmailConnector(
credentials=creds,
session=db_session,
user_id=user_id,
connector_id=connector.id,
)
detail, error = await gmail.get_message_details(message_id)
if error:
if (
"re-authenticate" in error.lower()
or "authentication failed" in error.lower()
):
return {
"status": "auth_error",
"message": error,
"connector_type": "gmail",
}
return {"status": "error", "message": error}
if not detail:
return {
"status": "not_found",
"message": f"Email with ID '{message_id}' not found.",
}
content = gmail.format_message_to_markdown(detail)
return {
"status": "not_found",
"message": f"Email with ID '{message_id}' not found.",
"status": "success",
"message_id": message_id,
"content": content,
}
content = gmail.format_message_to_markdown(detail)
return {"status": "success", "message_id": message_id, "content": content}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -6,7 +6,7 @@ from langchain_core.tools import tool
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
from app.db import SearchSourceConnector, SearchSourceConnectorType, async_session_maker
logger = logging.getLogger(__name__)
@ -39,12 +39,7 @@ def _build_credentials(connector: SearchSourceConnector):
from app.utils.google_credentials import COMPOSIO_GOOGLE_CONNECTOR_TYPES
if connector.connector_type in COMPOSIO_GOOGLE_CONNECTOR_TYPES:
from app.utils.google_credentials import build_composio_credentials
cca_id = connector.config.get("composio_connected_account_id")
if not cca_id:
raise ValueError("Composio connected account ID not found.")
return build_composio_credentials(cca_id)
raise ValueError("Composio connectors must use Composio tool execution.")
from google.oauth2.credentials import Credentials
@ -67,11 +62,85 @@ def _build_credentials(connector: SearchSourceConnector):
)
def _gmail_headers(message: dict[str, Any]) -> dict[str, str]:
headers = message.get("payload", {}).get("headers", [])
return {
header.get("name", "").lower(): header.get("value", "")
for header in headers
if isinstance(header, dict)
}
def _format_gmail_summary(message: dict[str, Any]) -> dict[str, Any]:
headers = _gmail_headers(message)
return {
"message_id": message.get("id") or message.get("messageId"),
"thread_id": message.get("threadId"),
"subject": message.get("subject") or headers.get("subject", "No Subject"),
"from": message.get("sender") or headers.get("from", "Unknown"),
"to": message.get("to") or headers.get("to", ""),
"date": message.get("messageTimestamp") or headers.get("date", ""),
"snippet": message.get("snippet") or message.get("messageText", "")[:300],
"labels": message.get("labelIds", []),
}
async def _search_composio_gmail(
connector: SearchSourceConnector,
user_id: str,
query: str,
max_results: int,
) -> dict[str, Any]:
cca_id = connector.config.get("composio_connected_account_id")
if not cca_id:
return {
"status": "error",
"message": "Composio connected account ID not found.",
}
from app.services.composio_service import ComposioService
service = ComposioService()
messages, _next_token, _estimate, error = await service.get_gmail_messages(
connected_account_id=cca_id,
entity_id=f"surfsense_{user_id}",
query=query,
max_results=max_results,
)
if error:
return {"status": "error", "message": error}
emails = [_format_gmail_summary(message) for message in messages]
return {
"status": "success",
"emails": emails,
"total": len(emails),
"message": "No emails found." if not emails else None,
}
def create_search_gmail_tool(
db_session: AsyncSession | None = None,
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the search_gmail tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured search_gmail tool
"""
del db_session # per-call session — see docstring
@tool
async def search_gmail(
query: str,
@ -90,83 +159,92 @@ def create_search_gmail_tool(
Dictionary with status and a list of email summaries including
message_id, subject, from, date, snippet.
"""
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {"status": "error", "message": "Gmail tool not properly configured."}
max_results = min(max_results, 20)
try:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_GMAIL_TYPES),
async with async_session_maker() as db_session:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_GMAIL_TYPES),
)
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "No Gmail connector found. Please connect Gmail in your workspace settings.",
}
creds = _build_credentials(connector)
from app.connectors.google_gmail_connector import GoogleGmailConnector
gmail = GoogleGmailConnector(
credentials=creds,
session=db_session,
user_id=user_id,
connector_id=connector.id,
)
messages_list, error = await gmail.get_messages_list(
max_results=max_results, query=query
)
if error:
if (
"re-authenticate" in error.lower()
or "authentication failed" in error.lower()
):
connector = result.scalars().first()
if not connector:
return {
"status": "auth_error",
"message": error,
"connector_type": "gmail",
"status": "error",
"message": "No Gmail connector found. Please connect Gmail in your workspace settings.",
}
return {"status": "error", "message": error}
if not messages_list:
return {
"status": "success",
"emails": [],
"total": 0,
"message": "No emails found.",
}
if (
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GMAIL_CONNECTOR
):
return await _search_composio_gmail(
connector, str(user_id), query, max_results
)
emails = []
for msg in messages_list:
detail, err = await gmail.get_message_details(msg["id"])
if err:
continue
headers = {
h["name"].lower(): h["value"]
for h in detail.get("payload", {}).get("headers", [])
}
emails.append(
{
"message_id": detail.get("id"),
"thread_id": detail.get("threadId"),
"subject": headers.get("subject", "No Subject"),
"from": headers.get("from", "Unknown"),
"to": headers.get("to", ""),
"date": headers.get("date", ""),
"snippet": detail.get("snippet", ""),
"labels": detail.get("labelIds", []),
}
creds = _build_credentials(connector)
from app.connectors.google_gmail_connector import GoogleGmailConnector
gmail = GoogleGmailConnector(
credentials=creds,
session=db_session,
user_id=user_id,
connector_id=connector.id,
)
return {"status": "success", "emails": emails, "total": len(emails)}
messages_list, error = await gmail.get_messages_list(
max_results=max_results, query=query
)
if error:
if (
"re-authenticate" in error.lower()
or "authentication failed" in error.lower()
):
return {
"status": "auth_error",
"message": error,
"connector_type": "gmail",
}
return {"status": "error", "message": error}
if not messages_list:
return {
"status": "success",
"emails": [],
"total": 0,
"message": "No emails found.",
}
emails = []
for msg in messages_list:
detail, err = await gmail.get_message_details(msg["id"])
if err:
continue
headers = {
h["name"].lower(): h["value"]
for h in detail.get("payload", {}).get("headers", [])
}
emails.append(
{
"message_id": detail.get("id"),
"thread_id": detail.get("threadId"),
"subject": headers.get("subject", "No Subject"),
"from": headers.get("from", "Unknown"),
"to": headers.get("to", ""),
"date": headers.get("date", ""),
"snippet": detail.get("snippet", ""),
"labels": detail.get("labelIds", []),
}
)
return {"status": "success", "emails": emails, "total": len(emails)}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -9,6 +9,7 @@ from langchain_core.tools import tool
from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.tools.hitl import request_approval
from app.db import async_session_maker
from app.services.gmail import GmailToolMetadataService
logger = logging.getLogger(__name__)
@ -19,6 +20,23 @@ def create_send_gmail_email_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the send_gmail_email tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured send_gmail_email tool
"""
del db_session # per-call session — see docstring
@tool
async def send_gmail_email(
to: str,
@ -58,247 +76,277 @@ def create_send_gmail_email_tool(
"""
logger.info(f"send_gmail_email called: to='{to}', subject='{subject}'")
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {
"status": "error",
"message": "Gmail tool not properly configured. Please contact support.",
}
try:
metadata_service = GmailToolMetadataService(db_session)
context = await metadata_service.get_creation_context(
search_space_id, user_id
)
if "error" in context:
logger.error(f"Failed to fetch creation context: {context['error']}")
return {"status": "error", "message": context["error"]}
accounts = context.get("accounts", [])
if accounts and all(a.get("auth_expired") for a in accounts):
logger.warning("All Gmail accounts have expired authentication")
return {
"status": "auth_error",
"message": "All connected Gmail accounts need re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "gmail",
}
logger.info(
f"Requesting approval for sending Gmail email: to='{to}', subject='{subject}'"
)
result = request_approval(
action_type="gmail_email_send",
tool_name="send_gmail_email",
params={
"to": to,
"subject": subject,
"body": body,
"cc": cc,
"bcc": bcc,
"connector_id": None,
},
context=context,
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. The email was not sent. Do not ask again or suggest alternatives.",
}
final_to = result.params.get("to", to)
final_subject = result.params.get("subject", subject)
final_body = result.params.get("body", body)
final_cc = result.params.get("cc", cc)
final_bcc = result.params.get("bcc", bcc)
final_connector_id = result.params.get("connector_id")
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
_gmail_types = [
SearchSourceConnectorType.GOOGLE_GMAIL_CONNECTOR,
SearchSourceConnectorType.COMPOSIO_GMAIL_CONNECTOR,
]
if final_connector_id is not None:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_gmail_types),
)
async with async_session_maker() as db_session:
metadata_service = GmailToolMetadataService(db_session)
context = await metadata_service.get_creation_context(
search_space_id, user_id
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Gmail connector is invalid or has been disconnected.",
}
actual_connector_id = connector.id
else:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_gmail_types),
if "error" in context:
logger.error(
f"Failed to fetch creation context: {context['error']}"
)
)
connector = result.scalars().first()
if not connector:
return {"status": "error", "message": context["error"]}
accounts = context.get("accounts", [])
if accounts and all(a.get("auth_expired") for a in accounts):
logger.warning("All Gmail accounts have expired authentication")
return {
"status": "error",
"message": "No Gmail connector found. Please connect Gmail in your workspace settings.",
"status": "auth_error",
"message": "All connected Gmail accounts need re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "gmail",
}
actual_connector_id = connector.id
logger.info(
f"Sending Gmail email: to='{final_to}', subject='{final_subject}', connector={actual_connector_id}"
)
logger.info(
f"Requesting approval for sending Gmail email: to='{to}', subject='{subject}'"
)
result = request_approval(
action_type="gmail_email_send",
tool_name="send_gmail_email",
params={
"to": to,
"subject": subject,
"body": body,
"cc": cc,
"bcc": bcc,
"connector_id": None,
},
context=context,
)
if (
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GMAIL_CONNECTOR
):
from app.utils.google_credentials import build_composio_credentials
if result.rejected:
return {
"status": "rejected",
"message": "User declined. The email was not sent. Do not ask again or suggest alternatives.",
}
cca_id = connector.config.get("composio_connected_account_id")
if cca_id:
creds = build_composio_credentials(cca_id)
final_to = result.params.get("to", to)
final_subject = result.params.get("subject", subject)
final_body = result.params.get("body", body)
final_cc = result.params.get("cc", cc)
final_bcc = result.params.get("bcc", bcc)
final_connector_id = result.params.get("connector_id")
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
_gmail_types = [
SearchSourceConnectorType.GOOGLE_GMAIL_CONNECTOR,
SearchSourceConnectorType.COMPOSIO_GMAIL_CONNECTOR,
]
if final_connector_id is not None:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_gmail_types),
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Gmail connector is invalid or has been disconnected.",
}
actual_connector_id = connector.id
else:
return {
"status": "error",
"message": "Composio connected account ID not found for this Gmail connector.",
}
else:
from google.oauth2.credentials import Credentials
from app.config import config
from app.utils.oauth_security import TokenEncryption
config_data = dict(connector.config)
token_encrypted = config_data.get("_token_encrypted", False)
if token_encrypted and config.SECRET_KEY:
token_encryption = TokenEncryption(config.SECRET_KEY)
if config_data.get("token"):
config_data["token"] = token_encryption.decrypt_token(
config_data["token"]
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_gmail_types),
)
if config_data.get("refresh_token"):
config_data["refresh_token"] = token_encryption.decrypt_token(
config_data["refresh_token"]
)
if config_data.get("client_secret"):
config_data["client_secret"] = token_encryption.decrypt_token(
config_data["client_secret"]
)
exp = config_data.get("expiry", "")
if exp:
exp = exp.replace("Z", "")
creds = Credentials(
token=config_data.get("token"),
refresh_token=config_data.get("refresh_token"),
token_uri=config_data.get("token_uri"),
client_id=config_data.get("client_id"),
client_secret=config_data.get("client_secret"),
scopes=config_data.get("scopes", []),
expiry=datetime.fromisoformat(exp) if exp else None,
)
from googleapiclient.discovery import build
gmail_service = build("gmail", "v1", credentials=creds)
message = MIMEText(final_body)
message["to"] = final_to
message["subject"] = final_subject
if final_cc:
message["cc"] = final_cc
if final_bcc:
message["bcc"] = final_bcc
raw = base64.urlsafe_b64encode(message.as_bytes()).decode()
try:
sent = await asyncio.get_event_loop().run_in_executor(
None,
lambda: (
gmail_service.users()
.messages()
.send(userId="me", body={"raw": raw})
.execute()
),
)
except Exception as api_err:
from googleapiclient.errors import HttpError
if isinstance(api_err, HttpError) and api_err.resp.status == 403:
logger.warning(
f"Insufficient permissions for connector {actual_connector_id}: {api_err}"
)
try:
from sqlalchemy.orm.attributes import flag_modified
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "No Gmail connector found. Please connect Gmail in your workspace settings.",
}
actual_connector_id = connector.id
_res = await db_session.execute(
select(SearchSourceConnector).where(
SearchSourceConnector.id == actual_connector_id
logger.info(
f"Sending Gmail email: to='{final_to}', subject='{final_subject}', connector={actual_connector_id}"
)
is_composio_gmail = (
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GMAIL_CONNECTOR
)
if is_composio_gmail:
cca_id = connector.config.get("composio_connected_account_id")
if not cca_id:
return {
"status": "error",
"message": "Composio connected account ID not found for this Gmail connector.",
}
else:
from google.oauth2.credentials import Credentials
from app.config import config
from app.utils.oauth_security import TokenEncryption
config_data = dict(connector.config)
token_encrypted = config_data.get("_token_encrypted", False)
if token_encrypted and config.SECRET_KEY:
token_encryption = TokenEncryption(config.SECRET_KEY)
if config_data.get("token"):
config_data["token"] = token_encryption.decrypt_token(
config_data["token"]
)
if config_data.get("refresh_token"):
config_data["refresh_token"] = (
token_encryption.decrypt_token(
config_data["refresh_token"]
)
)
if config_data.get("client_secret"):
config_data["client_secret"] = (
token_encryption.decrypt_token(
config_data["client_secret"]
)
)
exp = config_data.get("expiry", "")
if exp:
exp = exp.replace("Z", "")
creds = Credentials(
token=config_data.get("token"),
refresh_token=config_data.get("refresh_token"),
token_uri=config_data.get("token_uri"),
client_id=config_data.get("client_id"),
client_secret=config_data.get("client_secret"),
scopes=config_data.get("scopes", []),
expiry=datetime.fromisoformat(exp) if exp else None,
)
message = MIMEText(final_body)
message["to"] = final_to
message["subject"] = final_subject
if final_cc:
message["cc"] = final_cc
if final_bcc:
message["bcc"] = final_bcc
raw = base64.urlsafe_b64encode(message.as_bytes()).decode()
try:
if is_composio_gmail:
from app.agents.new_chat.tools.gmail.composio_helpers import (
execute_composio_gmail_tool,
split_recipients,
)
_conn = _res.scalar_one_or_none()
if _conn and not _conn.config.get("auth_expired"):
_conn.config = {**_conn.config, "auth_expired": True}
flag_modified(_conn, "config")
await db_session.commit()
except Exception:
sent, error = await execute_composio_gmail_tool(
connector,
user_id,
"GMAIL_SEND_EMAIL",
{
"user_id": "me",
"recipient_email": final_to,
"subject": final_subject,
"body": final_body,
"cc": split_recipients(final_cc),
"bcc": split_recipients(final_bcc),
"is_html": False,
},
)
if error:
raise RuntimeError(error)
if not isinstance(sent, dict):
sent = {}
else:
from googleapiclient.discovery import build
gmail_service = build("gmail", "v1", credentials=creds)
sent = await asyncio.get_event_loop().run_in_executor(
None,
lambda: (
gmail_service.users()
.messages()
.send(userId="me", body={"raw": raw})
.execute()
),
)
except Exception as api_err:
from googleapiclient.errors import HttpError
if isinstance(api_err, HttpError) and api_err.resp.status == 403:
logger.warning(
"Failed to persist auth_expired for connector %s",
actual_connector_id,
exc_info=True,
f"Insufficient permissions for connector {actual_connector_id}: {api_err}"
)
return {
"status": "insufficient_permissions",
"connector_id": actual_connector_id,
"message": "This Gmail account needs additional permissions. Please re-authenticate in connector settings.",
}
raise
try:
from sqlalchemy.orm.attributes import flag_modified
logger.info(
f"Gmail email sent: id={sent.get('id')}, threadId={sent.get('threadId')}"
)
_res = await db_session.execute(
select(SearchSourceConnector).where(
SearchSourceConnector.id == actual_connector_id
)
)
_conn = _res.scalar_one_or_none()
if _conn and not _conn.config.get("auth_expired"):
_conn.config = {**_conn.config, "auth_expired": True}
flag_modified(_conn, "config")
await db_session.commit()
except Exception:
logger.warning(
"Failed to persist auth_expired for connector %s",
actual_connector_id,
exc_info=True,
)
return {
"status": "insufficient_permissions",
"connector_id": actual_connector_id,
"message": "This Gmail account needs additional permissions. Please re-authenticate in connector settings.",
}
raise
kb_message_suffix = ""
try:
from app.services.gmail import GmailKBSyncService
kb_service = GmailKBSyncService(db_session)
kb_result = await kb_service.sync_after_create(
message_id=sent.get("id", ""),
thread_id=sent.get("threadId", ""),
subject=final_subject,
sender="me",
date_str=datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
body_text=final_body,
connector_id=actual_connector_id,
search_space_id=search_space_id,
user_id=user_id,
logger.info(
f"Gmail email sent: id={sent.get('id')}, threadId={sent.get('threadId')}"
)
if kb_result["status"] == "success":
kb_message_suffix = " Your knowledge base has also been updated."
else:
kb_message_suffix = " This email will be added to your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after send failed: {kb_err}")
kb_message_suffix = " This email will be added to your knowledge base in the next scheduled sync."
return {
"status": "success",
"message_id": sent.get("id"),
"thread_id": sent.get("threadId"),
"message": f"Successfully sent email to '{final_to}' with subject '{final_subject}'.{kb_message_suffix}",
}
kb_message_suffix = ""
try:
from app.services.gmail import GmailKBSyncService
kb_service = GmailKBSyncService(db_session)
kb_result = await kb_service.sync_after_create(
message_id=sent.get("id", ""),
thread_id=sent.get("threadId", ""),
subject=final_subject,
sender="me",
date_str=datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
body_text=final_body,
connector_id=actual_connector_id,
search_space_id=search_space_id,
user_id=user_id,
)
if kb_result["status"] == "success":
kb_message_suffix = (
" Your knowledge base has also been updated."
)
else:
kb_message_suffix = " This email will be added to your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after send failed: {kb_err}")
kb_message_suffix = " This email will be added to your knowledge base in the next scheduled sync."
return {
"status": "success",
"message_id": sent.get("id"),
"thread_id": sent.get("threadId"),
"message": f"Successfully sent email to '{final_to}' with subject '{final_subject}'.{kb_message_suffix}",
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -7,6 +7,7 @@ from langchain_core.tools import tool
from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.tools.hitl import request_approval
from app.db import async_session_maker
from app.services.gmail import GmailToolMetadataService
logger = logging.getLogger(__name__)
@ -17,6 +18,23 @@ def create_trash_gmail_email_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the trash_gmail_email tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured trash_gmail_email tool
"""
del db_session # per-call session — see docstring
@tool
async def trash_gmail_email(
email_subject_or_id: str,
@ -55,244 +73,261 @@ def create_trash_gmail_email_tool(
f"trash_gmail_email called: email_subject_or_id='{email_subject_or_id}', delete_from_kb={delete_from_kb}"
)
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {
"status": "error",
"message": "Gmail tool not properly configured. Please contact support.",
}
try:
metadata_service = GmailToolMetadataService(db_session)
context = await metadata_service.get_trash_context(
search_space_id, user_id, email_subject_or_id
)
if "error" in context:
error_msg = context["error"]
if "not found" in error_msg.lower():
logger.warning(f"Email not found: {error_msg}")
return {"status": "not_found", "message": error_msg}
logger.error(f"Failed to fetch trash context: {error_msg}")
return {"status": "error", "message": error_msg}
account = context.get("account", {})
if account.get("auth_expired"):
logger.warning(
"Gmail account %s has expired authentication",
account.get("id"),
async with async_session_maker() as db_session:
metadata_service = GmailToolMetadataService(db_session)
context = await metadata_service.get_trash_context(
search_space_id, user_id, email_subject_or_id
)
return {
"status": "auth_error",
"message": "The Gmail account for this email needs re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "gmail",
}
email = context["email"]
message_id = email["message_id"]
document_id = email.get("document_id")
connector_id_from_context = context["account"]["id"]
if "error" in context:
error_msg = context["error"]
if "not found" in error_msg.lower():
logger.warning(f"Email not found: {error_msg}")
return {"status": "not_found", "message": error_msg}
logger.error(f"Failed to fetch trash context: {error_msg}")
return {"status": "error", "message": error_msg}
if not message_id:
return {
"status": "error",
"message": "Message ID is missing from the indexed document. Please re-index the email and try again.",
}
account = context.get("account", {})
if account.get("auth_expired"):
logger.warning(
"Gmail account %s has expired authentication",
account.get("id"),
)
return {
"status": "auth_error",
"message": "The Gmail account for this email needs re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "gmail",
}
logger.info(
f"Requesting approval for trashing Gmail email: '{email_subject_or_id}' (message_id={message_id}, delete_from_kb={delete_from_kb})"
)
result = request_approval(
action_type="gmail_email_trash",
tool_name="trash_gmail_email",
params={
"message_id": message_id,
"connector_id": connector_id_from_context,
"delete_from_kb": delete_from_kb,
},
context=context,
)
email = context["email"]
message_id = email["message_id"]
document_id = email.get("document_id")
connector_id_from_context = context["account"]["id"]
if result.rejected:
return {
"status": "rejected",
"message": "User declined. The email was not trashed. Do not ask again or suggest alternatives.",
}
final_message_id = result.params.get("message_id", message_id)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
final_delete_from_kb = result.params.get("delete_from_kb", delete_from_kb)
if not final_connector_id:
return {
"status": "error",
"message": "No connector found for this email.",
}
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
_gmail_types = [
SearchSourceConnectorType.GOOGLE_GMAIL_CONNECTOR,
SearchSourceConnectorType.COMPOSIO_GMAIL_CONNECTOR,
]
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_gmail_types),
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Gmail connector is invalid or has been disconnected.",
}
logger.info(
f"Trashing Gmail email: message_id='{final_message_id}', connector={final_connector_id}"
)
if (
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GMAIL_CONNECTOR
):
from app.utils.google_credentials import build_composio_credentials
cca_id = connector.config.get("composio_connected_account_id")
if cca_id:
creds = build_composio_credentials(cca_id)
else:
if not message_id:
return {
"status": "error",
"message": "Composio connected account ID not found for this Gmail connector.",
"message": "Message ID is missing from the indexed document. Please re-index the email and try again.",
}
else:
from google.oauth2.credentials import Credentials
from app.config import config
from app.utils.oauth_security import TokenEncryption
config_data = dict(connector.config)
token_encrypted = config_data.get("_token_encrypted", False)
if token_encrypted and config.SECRET_KEY:
token_encryption = TokenEncryption(config.SECRET_KEY)
if config_data.get("token"):
config_data["token"] = token_encryption.decrypt_token(
config_data["token"]
)
if config_data.get("refresh_token"):
config_data["refresh_token"] = token_encryption.decrypt_token(
config_data["refresh_token"]
)
if config_data.get("client_secret"):
config_data["client_secret"] = token_encryption.decrypt_token(
config_data["client_secret"]
)
exp = config_data.get("expiry", "")
if exp:
exp = exp.replace("Z", "")
creds = Credentials(
token=config_data.get("token"),
refresh_token=config_data.get("refresh_token"),
token_uri=config_data.get("token_uri"),
client_id=config_data.get("client_id"),
client_secret=config_data.get("client_secret"),
scopes=config_data.get("scopes", []),
expiry=datetime.fromisoformat(exp) if exp else None,
logger.info(
f"Requesting approval for trashing Gmail email: '{email_subject_or_id}' (message_id={message_id}, delete_from_kb={delete_from_kb})"
)
result = request_approval(
action_type="gmail_email_trash",
tool_name="trash_gmail_email",
params={
"message_id": message_id,
"connector_id": connector_id_from_context,
"delete_from_kb": delete_from_kb,
},
context=context,
)
from googleapiclient.discovery import build
gmail_service = build("gmail", "v1", credentials=creds)
try:
await asyncio.get_event_loop().run_in_executor(
None,
lambda: (
gmail_service.users()
.messages()
.trash(userId="me", id=final_message_id)
.execute()
),
)
except Exception as api_err:
from googleapiclient.errors import HttpError
if isinstance(api_err, HttpError) and api_err.resp.status == 403:
logger.warning(
f"Insufficient permissions for connector {connector.id}: {api_err}"
)
try:
from sqlalchemy.orm.attributes import flag_modified
if not connector.config.get("auth_expired"):
connector.config = {
**connector.config,
"auth_expired": True,
}
flag_modified(connector, "config")
await db_session.commit()
except Exception:
logger.warning(
"Failed to persist auth_expired for connector %s",
connector.id,
exc_info=True,
)
if result.rejected:
return {
"status": "insufficient_permissions",
"connector_id": connector.id,
"message": "This Gmail account needs additional permissions. Please re-authenticate in connector settings.",
"status": "rejected",
"message": "User declined. The email was not trashed. Do not ask again or suggest alternatives.",
}
raise
logger.info(f"Gmail email trashed: message_id={final_message_id}")
trash_result: dict[str, Any] = {
"status": "success",
"message_id": final_message_id,
"message": f"Successfully moved email '{email.get('subject', email_subject_or_id)}' to trash.",
}
deleted_from_kb = False
if final_delete_from_kb and document_id:
try:
from app.db import Document
doc_result = await db_session.execute(
select(Document).filter(Document.id == document_id)
)
document = doc_result.scalars().first()
if document:
await db_session.delete(document)
await db_session.commit()
deleted_from_kb = True
logger.info(
f"Deleted document {document_id} from knowledge base"
)
else:
logger.warning(f"Document {document_id} not found in KB")
except Exception as e:
logger.error(f"Failed to delete document from KB: {e}")
await db_session.rollback()
trash_result["warning"] = (
f"Email trashed, but failed to remove from knowledge base: {e!s}"
)
trash_result["deleted_from_kb"] = deleted_from_kb
if deleted_from_kb:
trash_result["message"] = (
f"{trash_result.get('message', '')} (also removed from knowledge base)"
final_message_id = result.params.get("message_id", message_id)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
final_delete_from_kb = result.params.get(
"delete_from_kb", delete_from_kb
)
return trash_result
if not final_connector_id:
return {
"status": "error",
"message": "No connector found for this email.",
}
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
_gmail_types = [
SearchSourceConnectorType.GOOGLE_GMAIL_CONNECTOR,
SearchSourceConnectorType.COMPOSIO_GMAIL_CONNECTOR,
]
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_gmail_types),
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Gmail connector is invalid or has been disconnected.",
}
logger.info(
f"Trashing Gmail email: message_id='{final_message_id}', connector={final_connector_id}"
)
is_composio_gmail = (
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GMAIL_CONNECTOR
)
if is_composio_gmail:
cca_id = connector.config.get("composio_connected_account_id")
if not cca_id:
return {
"status": "error",
"message": "Composio connected account ID not found for this Gmail connector.",
}
else:
from google.oauth2.credentials import Credentials
from app.config import config
from app.utils.oauth_security import TokenEncryption
config_data = dict(connector.config)
token_encrypted = config_data.get("_token_encrypted", False)
if token_encrypted and config.SECRET_KEY:
token_encryption = TokenEncryption(config.SECRET_KEY)
if config_data.get("token"):
config_data["token"] = token_encryption.decrypt_token(
config_data["token"]
)
if config_data.get("refresh_token"):
config_data["refresh_token"] = (
token_encryption.decrypt_token(
config_data["refresh_token"]
)
)
if config_data.get("client_secret"):
config_data["client_secret"] = (
token_encryption.decrypt_token(
config_data["client_secret"]
)
)
exp = config_data.get("expiry", "")
if exp:
exp = exp.replace("Z", "")
creds = Credentials(
token=config_data.get("token"),
refresh_token=config_data.get("refresh_token"),
token_uri=config_data.get("token_uri"),
client_id=config_data.get("client_id"),
client_secret=config_data.get("client_secret"),
scopes=config_data.get("scopes", []),
expiry=datetime.fromisoformat(exp) if exp else None,
)
try:
if is_composio_gmail:
from app.agents.new_chat.tools.gmail.composio_helpers import (
execute_composio_gmail_tool,
)
_trashed, error = await execute_composio_gmail_tool(
connector,
user_id,
"GMAIL_MOVE_TO_TRASH",
{"user_id": "me", "message_id": final_message_id},
)
if error:
raise RuntimeError(error)
else:
from googleapiclient.discovery import build
gmail_service = build("gmail", "v1", credentials=creds)
await asyncio.get_event_loop().run_in_executor(
None,
lambda: (
gmail_service.users()
.messages()
.trash(userId="me", id=final_message_id)
.execute()
),
)
except Exception as api_err:
from googleapiclient.errors import HttpError
if isinstance(api_err, HttpError) and api_err.resp.status == 403:
logger.warning(
f"Insufficient permissions for connector {connector.id}: {api_err}"
)
try:
from sqlalchemy.orm.attributes import flag_modified
if not connector.config.get("auth_expired"):
connector.config = {
**connector.config,
"auth_expired": True,
}
flag_modified(connector, "config")
await db_session.commit()
except Exception:
logger.warning(
"Failed to persist auth_expired for connector %s",
connector.id,
exc_info=True,
)
return {
"status": "insufficient_permissions",
"connector_id": connector.id,
"message": "This Gmail account needs additional permissions. Please re-authenticate in connector settings.",
}
raise
logger.info(f"Gmail email trashed: message_id={final_message_id}")
trash_result: dict[str, Any] = {
"status": "success",
"message_id": final_message_id,
"message": f"Successfully moved email '{email.get('subject', email_subject_or_id)}' to trash.",
}
deleted_from_kb = False
if final_delete_from_kb and document_id:
try:
from app.db import Document
doc_result = await db_session.execute(
select(Document).filter(Document.id == document_id)
)
document = doc_result.scalars().first()
if document:
await db_session.delete(document)
await db_session.commit()
deleted_from_kb = True
logger.info(
f"Deleted document {document_id} from knowledge base"
)
else:
logger.warning(f"Document {document_id} not found in KB")
except Exception as e:
logger.error(f"Failed to delete document from KB: {e}")
await db_session.rollback()
trash_result["warning"] = (
f"Email trashed, but failed to remove from knowledge base: {e!s}"
)
trash_result["deleted_from_kb"] = deleted_from_kb
if deleted_from_kb:
trash_result["message"] = (
f"{trash_result.get('message', '')} (also removed from knowledge base)"
)
return trash_result
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -9,6 +9,7 @@ from langchain_core.tools import tool
from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.tools.hitl import request_approval
from app.db import async_session_maker
from app.services.gmail import GmailToolMetadataService
logger = logging.getLogger(__name__)
@ -19,6 +20,23 @@ def create_update_gmail_draft_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the update_gmail_draft tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured update_gmail_draft tool
"""
del db_session # per-call session — see docstring
@tool
async def update_gmail_draft(
draft_subject_or_id: str,
@ -76,294 +94,329 @@ def create_update_gmail_draft_tool(
f"update_gmail_draft called: draft_subject_or_id='{draft_subject_or_id}'"
)
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {
"status": "error",
"message": "Gmail tool not properly configured. Please contact support.",
}
try:
metadata_service = GmailToolMetadataService(db_session)
context = await metadata_service.get_update_context(
search_space_id, user_id, draft_subject_or_id
)
if "error" in context:
error_msg = context["error"]
if "not found" in error_msg.lower():
logger.warning(f"Draft not found: {error_msg}")
return {"status": "not_found", "message": error_msg}
logger.error(f"Failed to fetch update context: {error_msg}")
return {"status": "error", "message": error_msg}
account = context.get("account", {})
if account.get("auth_expired"):
logger.warning(
"Gmail account %s has expired authentication",
account.get("id"),
)
return {
"status": "auth_error",
"message": "The Gmail account for this draft needs re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "gmail",
}
email = context["email"]
message_id = email["message_id"]
document_id = email.get("document_id")
connector_id_from_context = account["id"]
draft_id_from_context = context.get("draft_id")
original_subject = email.get("subject", draft_subject_or_id)
final_subject_default = subject if subject else original_subject
final_to_default = to if to else ""
logger.info(
f"Requesting approval for updating Gmail draft: '{original_subject}' "
f"(message_id={message_id}, draft_id={draft_id_from_context})"
)
result = request_approval(
action_type="gmail_draft_update",
tool_name="update_gmail_draft",
params={
"message_id": message_id,
"draft_id": draft_id_from_context,
"to": final_to_default,
"subject": final_subject_default,
"body": body,
"cc": cc,
"bcc": bcc,
"connector_id": connector_id_from_context,
},
context=context,
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. The draft was not updated. Do not ask again or suggest alternatives.",
}
final_to = result.params.get("to", final_to_default)
final_subject = result.params.get("subject", final_subject_default)
final_body = result.params.get("body", body)
final_cc = result.params.get("cc", cc)
final_bcc = result.params.get("bcc", bcc)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
final_draft_id = result.params.get("draft_id", draft_id_from_context)
if not final_connector_id:
return {
"status": "error",
"message": "No connector found for this draft.",
}
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
_gmail_types = [
SearchSourceConnectorType.GOOGLE_GMAIL_CONNECTOR,
SearchSourceConnectorType.COMPOSIO_GMAIL_CONNECTOR,
]
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_gmail_types),
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Gmail connector is invalid or has been disconnected.",
}
logger.info(
f"Updating Gmail draft: subject='{final_subject}', connector={final_connector_id}"
)
if (
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GMAIL_CONNECTOR
):
from app.utils.google_credentials import build_composio_credentials
cca_id = connector.config.get("composio_connected_account_id")
if cca_id:
creds = build_composio_credentials(cca_id)
else:
return {
"status": "error",
"message": "Composio connected account ID not found for this Gmail connector.",
}
else:
from google.oauth2.credentials import Credentials
from app.config import config
from app.utils.oauth_security import TokenEncryption
config_data = dict(connector.config)
token_encrypted = config_data.get("_token_encrypted", False)
if token_encrypted and config.SECRET_KEY:
token_encryption = TokenEncryption(config.SECRET_KEY)
if config_data.get("token"):
config_data["token"] = token_encryption.decrypt_token(
config_data["token"]
)
if config_data.get("refresh_token"):
config_data["refresh_token"] = token_encryption.decrypt_token(
config_data["refresh_token"]
)
if config_data.get("client_secret"):
config_data["client_secret"] = token_encryption.decrypt_token(
config_data["client_secret"]
)
exp = config_data.get("expiry", "")
if exp:
exp = exp.replace("Z", "")
creds = Credentials(
token=config_data.get("token"),
refresh_token=config_data.get("refresh_token"),
token_uri=config_data.get("token_uri"),
client_id=config_data.get("client_id"),
client_secret=config_data.get("client_secret"),
scopes=config_data.get("scopes", []),
expiry=datetime.fromisoformat(exp) if exp else None,
async with async_session_maker() as db_session:
metadata_service = GmailToolMetadataService(db_session)
context = await metadata_service.get_update_context(
search_space_id, user_id, draft_subject_or_id
)
from googleapiclient.discovery import build
if "error" in context:
error_msg = context["error"]
if "not found" in error_msg.lower():
logger.warning(f"Draft not found: {error_msg}")
return {"status": "not_found", "message": error_msg}
logger.error(f"Failed to fetch update context: {error_msg}")
return {"status": "error", "message": error_msg}
gmail_service = build("gmail", "v1", credentials=creds)
# Resolve draft_id if not already available
if not final_draft_id:
logger.info(
f"draft_id not in metadata, looking up via drafts.list for message_id={message_id}"
)
final_draft_id = await _find_draft_id_by_message(
gmail_service, message_id
)
if not final_draft_id:
return {
"status": "error",
"message": (
"Could not find this draft in Gmail. "
"It may have already been sent or deleted."
),
}
message = MIMEText(final_body)
if final_to:
message["to"] = final_to
message["subject"] = final_subject
if final_cc:
message["cc"] = final_cc
if final_bcc:
message["bcc"] = final_bcc
raw = base64.urlsafe_b64encode(message.as_bytes()).decode()
try:
updated = await asyncio.get_event_loop().run_in_executor(
None,
lambda: (
gmail_service.users()
.drafts()
.update(
userId="me",
id=final_draft_id,
body={"message": {"raw": raw}},
)
.execute()
),
)
except Exception as api_err:
from googleapiclient.errors import HttpError
if isinstance(api_err, HttpError) and api_err.resp.status == 403:
account = context.get("account", {})
if account.get("auth_expired"):
logger.warning(
f"Insufficient permissions for connector {connector.id}: {api_err}"
"Gmail account %s has expired authentication",
account.get("id"),
)
try:
from sqlalchemy.orm.attributes import flag_modified
if not connector.config.get("auth_expired"):
connector.config = {
**connector.config,
"auth_expired": True,
}
flag_modified(connector, "config")
await db_session.commit()
except Exception:
logger.warning(
"Failed to persist auth_expired for connector %s",
connector.id,
exc_info=True,
)
return {
"status": "insufficient_permissions",
"connector_id": connector.id,
"message": "This Gmail account needs additional permissions. Please re-authenticate in connector settings.",
"status": "auth_error",
"message": "The Gmail account for this draft needs re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "gmail",
}
if isinstance(api_err, HttpError) and api_err.resp.status == 404:
email = context["email"]
message_id = email["message_id"]
document_id = email.get("document_id")
connector_id_from_context = account["id"]
draft_id_from_context = context.get("draft_id")
original_subject = email.get("subject", draft_subject_or_id)
final_subject_default = subject if subject else original_subject
final_to_default = to if to else ""
logger.info(
f"Requesting approval for updating Gmail draft: '{original_subject}' "
f"(message_id={message_id}, draft_id={draft_id_from_context})"
)
result = request_approval(
action_type="gmail_draft_update",
tool_name="update_gmail_draft",
params={
"message_id": message_id,
"draft_id": draft_id_from_context,
"to": final_to_default,
"subject": final_subject_default,
"body": body,
"cc": cc,
"bcc": bcc,
"connector_id": connector_id_from_context,
},
context=context,
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. The draft was not updated. Do not ask again or suggest alternatives.",
}
final_to = result.params.get("to", final_to_default)
final_subject = result.params.get("subject", final_subject_default)
final_body = result.params.get("body", body)
final_cc = result.params.get("cc", cc)
final_bcc = result.params.get("bcc", bcc)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
final_draft_id = result.params.get("draft_id", draft_id_from_context)
if not final_connector_id:
return {
"status": "error",
"message": "Draft no longer exists in Gmail. It may have been sent or deleted.",
"message": "No connector found for this draft.",
}
raise
logger.info(f"Gmail draft updated: id={updated.get('id')}")
from sqlalchemy.future import select
kb_message_suffix = ""
if document_id:
try:
from sqlalchemy.future import select as sa_select
from sqlalchemy.orm.attributes import flag_modified
from app.db import SearchSourceConnector, SearchSourceConnectorType
from app.db import Document
_gmail_types = [
SearchSourceConnectorType.GOOGLE_GMAIL_CONNECTOR,
SearchSourceConnectorType.COMPOSIO_GMAIL_CONNECTOR,
]
doc_result = await db_session.execute(
sa_select(Document).filter(Document.id == document_id)
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_gmail_types),
)
document = doc_result.scalars().first()
if document:
document.source_markdown = final_body
document.title = final_subject
meta = dict(document.document_metadata or {})
meta["subject"] = final_subject
meta["draft_id"] = updated.get("id", final_draft_id)
updated_msg = updated.get("message", {})
if updated_msg.get("id"):
meta["message_id"] = updated_msg["id"]
document.document_metadata = meta
flag_modified(document, "document_metadata")
await db_session.commit()
kb_message_suffix = (
" Your knowledge base has also been updated."
)
logger.info(
f"KB document {document_id} updated for draft {final_draft_id}"
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Gmail connector is invalid or has been disconnected.",
}
logger.info(
f"Updating Gmail draft: subject='{final_subject}', connector={final_connector_id}"
)
is_composio_gmail = (
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GMAIL_CONNECTOR
)
if is_composio_gmail:
cca_id = connector.config.get("composio_connected_account_id")
if not cca_id:
return {
"status": "error",
"message": "Composio connected account ID not found for this Gmail connector.",
}
else:
from google.oauth2.credentials import Credentials
from app.config import config
from app.utils.oauth_security import TokenEncryption
config_data = dict(connector.config)
token_encrypted = config_data.get("_token_encrypted", False)
if token_encrypted and config.SECRET_KEY:
token_encryption = TokenEncryption(config.SECRET_KEY)
if config_data.get("token"):
config_data["token"] = token_encryption.decrypt_token(
config_data["token"]
)
if config_data.get("refresh_token"):
config_data["refresh_token"] = (
token_encryption.decrypt_token(
config_data["refresh_token"]
)
)
if config_data.get("client_secret"):
config_data["client_secret"] = (
token_encryption.decrypt_token(
config_data["client_secret"]
)
)
exp = config_data.get("expiry", "")
if exp:
exp = exp.replace("Z", "")
creds = Credentials(
token=config_data.get("token"),
refresh_token=config_data.get("refresh_token"),
token_uri=config_data.get("token_uri"),
client_id=config_data.get("client_id"),
client_secret=config_data.get("client_secret"),
scopes=config_data.get("scopes", []),
expiry=datetime.fromisoformat(exp) if exp else None,
)
# Resolve draft_id if not already available
if not final_draft_id:
logger.info(
f"draft_id not in metadata, looking up via drafts.list for message_id={message_id}"
)
if is_composio_gmail:
final_draft_id = await _find_composio_draft_id_by_message(
connector, user_id, message_id
)
else:
kb_message_suffix = " This draft will be fully updated in your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB update after draft edit failed: {kb_err}")
await db_session.rollback()
kb_message_suffix = " This draft will be fully updated in your knowledge base in the next scheduled sync."
from googleapiclient.discovery import build
return {
"status": "success",
"draft_id": updated.get("id"),
"message": f"Successfully updated Gmail draft with subject '{final_subject}'.{kb_message_suffix}",
}
gmail_service = build("gmail", "v1", credentials=creds)
final_draft_id = await _find_draft_id_by_message(
gmail_service, message_id
)
if not final_draft_id:
return {
"status": "error",
"message": (
"Could not find this draft in Gmail. "
"It may have already been sent or deleted."
),
}
message = MIMEText(final_body)
if final_to:
message["to"] = final_to
message["subject"] = final_subject
if final_cc:
message["cc"] = final_cc
if final_bcc:
message["bcc"] = final_bcc
raw = base64.urlsafe_b64encode(message.as_bytes()).decode()
try:
if is_composio_gmail:
from app.agents.new_chat.tools.gmail.composio_helpers import (
execute_composio_gmail_tool,
split_recipients,
)
updated, error = await execute_composio_gmail_tool(
connector,
user_id,
"GMAIL_UPDATE_DRAFT",
{
"user_id": "me",
"draft_id": final_draft_id,
"recipient_email": final_to,
"subject": final_subject,
"body": final_body,
"cc": split_recipients(final_cc),
"bcc": split_recipients(final_bcc),
"is_html": False,
},
)
if error:
raise RuntimeError(error)
if not isinstance(updated, dict):
updated = {}
else:
from googleapiclient.discovery import build
gmail_service = build("gmail", "v1", credentials=creds)
updated = await asyncio.get_event_loop().run_in_executor(
None,
lambda: (
gmail_service.users()
.drafts()
.update(
userId="me",
id=final_draft_id,
body={"message": {"raw": raw}},
)
.execute()
),
)
except Exception as api_err:
from googleapiclient.errors import HttpError
if isinstance(api_err, HttpError) and api_err.resp.status == 403:
logger.warning(
f"Insufficient permissions for connector {connector.id}: {api_err}"
)
try:
from sqlalchemy.orm.attributes import flag_modified
if not connector.config.get("auth_expired"):
connector.config = {
**connector.config,
"auth_expired": True,
}
flag_modified(connector, "config")
await db_session.commit()
except Exception:
logger.warning(
"Failed to persist auth_expired for connector %s",
connector.id,
exc_info=True,
)
return {
"status": "insufficient_permissions",
"connector_id": connector.id,
"message": "This Gmail account needs additional permissions. Please re-authenticate in connector settings.",
}
if isinstance(api_err, HttpError) and api_err.resp.status == 404:
return {
"status": "error",
"message": "Draft no longer exists in Gmail. It may have been sent or deleted.",
}
raise
logger.info(f"Gmail draft updated: id={updated.get('id')}")
kb_message_suffix = ""
if document_id:
try:
from sqlalchemy.future import select as sa_select
from sqlalchemy.orm.attributes import flag_modified
from app.db import Document
doc_result = await db_session.execute(
sa_select(Document).filter(Document.id == document_id)
)
document = doc_result.scalars().first()
if document:
document.source_markdown = final_body
document.title = final_subject
meta = dict(document.document_metadata or {})
meta["subject"] = final_subject
meta["draft_id"] = updated.get("id", final_draft_id)
updated_msg = updated.get("message", {})
if updated_msg.get("id"):
meta["message_id"] = updated_msg["id"]
document.document_metadata = meta
flag_modified(document, "document_metadata")
await db_session.commit()
kb_message_suffix = (
" Your knowledge base has also been updated."
)
logger.info(
f"KB document {document_id} updated for draft {final_draft_id}"
)
else:
kb_message_suffix = " This draft will be fully updated in your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB update after draft edit failed: {kb_err}")
await db_session.rollback()
kb_message_suffix = " This draft will be fully updated in your knowledge base in the next scheduled sync."
return {
"status": "success",
"draft_id": updated.get("id"),
"message": f"Successfully updated Gmail draft with subject '{final_subject}'.{kb_message_suffix}",
}
except Exception as e:
from langgraph.errors import GraphInterrupt
@ -408,3 +461,35 @@ async def _find_draft_id_by_message(gmail_service: Any, message_id: str) -> str
except Exception as e:
logger.warning(f"Failed to look up draft by message_id: {e}")
return None
async def _find_composio_draft_id_by_message(
connector: Any, user_id: str, message_id: str
) -> str | None:
from app.agents.new_chat.tools.gmail.composio_helpers import (
execute_composio_gmail_tool,
)
page_token = ""
while True:
params: dict[str, Any] = {
"user_id": "me",
"max_results": 100,
"verbose": False,
}
if page_token:
params["page_token"] = page_token
data, error = await execute_composio_gmail_tool(
connector, user_id, "GMAIL_LIST_DRAFTS", params
)
if error or not isinstance(data, dict):
return None
for draft in data.get("drafts", []):
if draft.get("message", {}).get("id") == message_id:
return draft.get("id")
page_token = data.get("nextPageToken") or data.get("next_page_token") or ""
if not page_token:
return None

View file

@ -9,6 +9,7 @@ from langchain_core.tools import tool
from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.tools.hitl import request_approval
from app.db import async_session_maker
from app.services.google_calendar import GoogleCalendarToolMetadataService
logger = logging.getLogger(__name__)
@ -19,6 +20,23 @@ def create_create_calendar_event_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the create_calendar_event tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured create_calendar_event tool
"""
del db_session # per-call session — see docstring
@tool
async def create_calendar_event(
summary: str,
@ -60,254 +78,294 @@ def create_create_calendar_event_tool(
f"create_calendar_event called: summary='{summary}', start='{start_datetime}', end='{end_datetime}'"
)
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {
"status": "error",
"message": "Google Calendar tool not properly configured. Please contact support.",
}
try:
metadata_service = GoogleCalendarToolMetadataService(db_session)
context = await metadata_service.get_creation_context(
search_space_id, user_id
)
if "error" in context:
logger.error(f"Failed to fetch creation context: {context['error']}")
return {"status": "error", "message": context["error"]}
accounts = context.get("accounts", [])
if accounts and all(a.get("auth_expired") for a in accounts):
logger.warning(
"All Google Calendar accounts have expired authentication"
async with async_session_maker() as db_session:
metadata_service = GoogleCalendarToolMetadataService(db_session)
context = await metadata_service.get_creation_context(
search_space_id, user_id
)
return {
"status": "auth_error",
"message": "All connected Google Calendar accounts need re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "google_calendar",
}
logger.info(
f"Requesting approval for creating calendar event: summary='{summary}'"
)
result = request_approval(
action_type="google_calendar_event_creation",
tool_name="create_calendar_event",
params={
"summary": summary,
"start_datetime": start_datetime,
"end_datetime": end_datetime,
"description": description,
"location": location,
"attendees": attendees,
"timezone": context.get("timezone"),
"connector_id": None,
},
context=context,
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. The event was not created. Do not ask again or suggest alternatives.",
}
final_summary = result.params.get("summary", summary)
final_start_datetime = result.params.get("start_datetime", start_datetime)
final_end_datetime = result.params.get("end_datetime", end_datetime)
final_description = result.params.get("description", description)
final_location = result.params.get("location", location)
final_attendees = result.params.get("attendees", attendees)
final_connector_id = result.params.get("connector_id")
if not final_summary or not final_summary.strip():
return {"status": "error", "message": "Event summary cannot be empty."}
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
_calendar_types = [
SearchSourceConnectorType.GOOGLE_CALENDAR_CONNECTOR,
SearchSourceConnectorType.COMPOSIO_GOOGLE_CALENDAR_CONNECTOR,
]
if final_connector_id is not None:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_calendar_types),
if "error" in context:
logger.error(
f"Failed to fetch creation context: {context['error']}"
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Google Calendar connector is invalid or has been disconnected.",
}
actual_connector_id = connector.id
else:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_calendar_types),
return {"status": "error", "message": context["error"]}
accounts = context.get("accounts", [])
if accounts and all(a.get("auth_expired") for a in accounts):
logger.warning(
"All Google Calendar accounts have expired authentication"
)
return {
"status": "auth_error",
"message": "All connected Google Calendar accounts need re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "google_calendar",
}
logger.info(
f"Requesting approval for creating calendar event: summary='{summary}'"
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "No Google Calendar connector found. Please connect Google Calendar in your workspace settings.",
}
actual_connector_id = connector.id
logger.info(
f"Creating calendar event: summary='{final_summary}', connector={actual_connector_id}"
)
if (
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GOOGLE_CALENDAR_CONNECTOR
):
from app.utils.google_credentials import build_composio_credentials
cca_id = connector.config.get("composio_connected_account_id")
if cca_id:
creds = build_composio_credentials(cca_id)
else:
return {
"status": "error",
"message": "Composio connected account ID not found for this connector.",
}
else:
config_data = dict(connector.config)
from app.config import config as app_config
from app.utils.oauth_security import TokenEncryption
token_encrypted = config_data.get("_token_encrypted", False)
if token_encrypted and app_config.SECRET_KEY:
token_encryption = TokenEncryption(app_config.SECRET_KEY)
for key in ("token", "refresh_token", "client_secret"):
if config_data.get(key):
config_data[key] = token_encryption.decrypt_token(
config_data[key]
)
exp = config_data.get("expiry", "")
if exp:
exp = exp.replace("Z", "")
creds = Credentials(
token=config_data.get("token"),
refresh_token=config_data.get("refresh_token"),
token_uri=config_data.get("token_uri"),
client_id=config_data.get("client_id"),
client_secret=config_data.get("client_secret"),
scopes=config_data.get("scopes", []),
expiry=datetime.fromisoformat(exp) if exp else None,
result = request_approval(
action_type="google_calendar_event_creation",
tool_name="create_calendar_event",
params={
"summary": summary,
"start_datetime": start_datetime,
"end_datetime": end_datetime,
"description": description,
"location": location,
"attendees": attendees,
"timezone": context.get("timezone"),
"connector_id": None,
},
context=context,
)
service = await asyncio.get_event_loop().run_in_executor(
None, lambda: build("calendar", "v3", credentials=creds)
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. The event was not created. Do not ask again or suggest alternatives.",
}
tz = context.get("timezone", "UTC")
event_body: dict[str, Any] = {
"summary": final_summary,
"start": {"dateTime": final_start_datetime, "timeZone": tz},
"end": {"dateTime": final_end_datetime, "timeZone": tz},
}
if final_description:
event_body["description"] = final_description
if final_location:
event_body["location"] = final_location
if final_attendees:
event_body["attendees"] = [
{"email": e.strip()} for e in final_attendees if e.strip()
final_summary = result.params.get("summary", summary)
final_start_datetime = result.params.get(
"start_datetime", start_datetime
)
final_end_datetime = result.params.get("end_datetime", end_datetime)
final_description = result.params.get("description", description)
final_location = result.params.get("location", location)
final_attendees = result.params.get("attendees", attendees)
final_connector_id = result.params.get("connector_id")
if not final_summary or not final_summary.strip():
return {
"status": "error",
"message": "Event summary cannot be empty.",
}
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
_calendar_types = [
SearchSourceConnectorType.GOOGLE_CALENDAR_CONNECTOR,
SearchSourceConnectorType.COMPOSIO_GOOGLE_CALENDAR_CONNECTOR,
]
try:
created = await asyncio.get_event_loop().run_in_executor(
None,
lambda: (
service.events()
.insert(calendarId="primary", body=event_body)
.execute()
),
)
except Exception as api_err:
from googleapiclient.errors import HttpError
if isinstance(api_err, HttpError) and api_err.resp.status == 403:
logger.warning(
f"Insufficient permissions for connector {actual_connector_id}: {api_err}"
if final_connector_id is not None:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_calendar_types),
)
)
try:
from sqlalchemy.orm.attributes import flag_modified
_res = await db_session.execute(
select(SearchSourceConnector).where(
SearchSourceConnector.id == actual_connector_id
)
)
_conn = _res.scalar_one_or_none()
if _conn and not _conn.config.get("auth_expired"):
_conn.config = {**_conn.config, "auth_expired": True}
flag_modified(_conn, "config")
await db_session.commit()
except Exception:
logger.warning(
"Failed to persist auth_expired for connector %s",
actual_connector_id,
exc_info=True,
)
return {
"status": "insufficient_permissions",
"connector_id": actual_connector_id,
"message": "This Google Calendar account needs additional permissions. Please re-authenticate in connector settings.",
}
raise
logger.info(
f"Calendar event created: id={created.get('id')}, summary={created.get('summary')}"
)
kb_message_suffix = ""
try:
from app.services.google_calendar import GoogleCalendarKBSyncService
kb_service = GoogleCalendarKBSyncService(db_session)
kb_result = await kb_service.sync_after_create(
event_id=created.get("id"),
event_summary=final_summary,
calendar_id="primary",
start_time=final_start_datetime,
end_time=final_end_datetime,
location=final_location,
html_link=created.get("htmlLink"),
description=final_description,
connector_id=actual_connector_id,
search_space_id=search_space_id,
user_id=user_id,
)
if kb_result["status"] == "success":
kb_message_suffix = " Your knowledge base has also been updated."
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Google Calendar connector is invalid or has been disconnected.",
}
actual_connector_id = connector.id
else:
kb_message_suffix = " This event will be added to your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after create failed: {kb_err}")
kb_message_suffix = " This event will be added to your knowledge base in the next scheduled sync."
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_calendar_types),
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "No Google Calendar connector found. Please connect Google Calendar in your workspace settings.",
}
actual_connector_id = connector.id
return {
"status": "success",
"event_id": created.get("id"),
"html_link": created.get("htmlLink"),
"message": f"Successfully created '{final_summary}' on Google Calendar.{kb_message_suffix}",
}
logger.info(
f"Creating calendar event: summary='{final_summary}', connector={actual_connector_id}"
)
is_composio_calendar = (
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GOOGLE_CALENDAR_CONNECTOR
)
if is_composio_calendar:
cca_id = connector.config.get("composio_connected_account_id")
if not cca_id:
return {
"status": "error",
"message": "Composio connected account ID not found for this connector.",
}
else:
config_data = dict(connector.config)
from app.config import config as app_config
from app.utils.oauth_security import TokenEncryption
token_encrypted = config_data.get("_token_encrypted", False)
if token_encrypted and app_config.SECRET_KEY:
token_encryption = TokenEncryption(app_config.SECRET_KEY)
for key in ("token", "refresh_token", "client_secret"):
if config_data.get(key):
config_data[key] = token_encryption.decrypt_token(
config_data[key]
)
exp = config_data.get("expiry", "")
if exp:
exp = exp.replace("Z", "")
creds = Credentials(
token=config_data.get("token"),
refresh_token=config_data.get("refresh_token"),
token_uri=config_data.get("token_uri"),
client_id=config_data.get("client_id"),
client_secret=config_data.get("client_secret"),
scopes=config_data.get("scopes", []),
expiry=datetime.fromisoformat(exp) if exp else None,
)
tz = context.get("timezone", "UTC")
event_body: dict[str, Any] = {
"summary": final_summary,
"start": {"dateTime": final_start_datetime, "timeZone": tz},
"end": {"dateTime": final_end_datetime, "timeZone": tz},
}
if final_description:
event_body["description"] = final_description
if final_location:
event_body["location"] = final_location
if final_attendees:
event_body["attendees"] = [
{"email": e.strip()} for e in final_attendees if e.strip()
]
try:
if is_composio_calendar:
from app.services.composio_service import ComposioService
composio_params = {
"calendar_id": "primary",
"summary": final_summary,
"start_datetime": final_start_datetime,
"end_datetime": final_end_datetime,
"timezone": tz,
"attendees": final_attendees or [],
}
if final_description:
composio_params["description"] = final_description
if final_location:
composio_params["location"] = final_location
composio_result = await ComposioService().execute_tool(
connected_account_id=cca_id,
tool_name="GOOGLECALENDAR_CREATE_EVENT",
params=composio_params,
entity_id=f"surfsense_{user_id}",
)
if not composio_result.get("success"):
raise RuntimeError(
composio_result.get(
"error", "Unknown Composio Calendar error"
)
)
created = composio_result.get("data", {})
if isinstance(created, dict):
created = created.get("data", created)
if isinstance(created, dict):
created = created.get("response_data", created)
else:
service = await asyncio.get_event_loop().run_in_executor(
None, lambda: build("calendar", "v3", credentials=creds)
)
created = await asyncio.get_event_loop().run_in_executor(
None,
lambda: (
service.events()
.insert(calendarId="primary", body=event_body)
.execute()
),
)
except Exception as api_err:
from googleapiclient.errors import HttpError
if isinstance(api_err, HttpError) and api_err.resp.status == 403:
logger.warning(
f"Insufficient permissions for connector {actual_connector_id}: {api_err}"
)
try:
from sqlalchemy.orm.attributes import flag_modified
_res = await db_session.execute(
select(SearchSourceConnector).where(
SearchSourceConnector.id == actual_connector_id
)
)
_conn = _res.scalar_one_or_none()
if _conn and not _conn.config.get("auth_expired"):
_conn.config = {**_conn.config, "auth_expired": True}
flag_modified(_conn, "config")
await db_session.commit()
except Exception:
logger.warning(
"Failed to persist auth_expired for connector %s",
actual_connector_id,
exc_info=True,
)
return {
"status": "insufficient_permissions",
"connector_id": actual_connector_id,
"message": "This Google Calendar account needs additional permissions. Please re-authenticate in connector settings.",
}
raise
logger.info(
f"Calendar event created: id={created.get('id')}, summary={created.get('summary')}"
)
kb_message_suffix = ""
try:
from app.services.google_calendar import GoogleCalendarKBSyncService
kb_service = GoogleCalendarKBSyncService(db_session)
kb_result = await kb_service.sync_after_create(
event_id=created.get("id"),
event_summary=final_summary,
calendar_id="primary",
start_time=final_start_datetime,
end_time=final_end_datetime,
location=final_location,
html_link=created.get("htmlLink"),
description=final_description,
connector_id=actual_connector_id,
search_space_id=search_space_id,
user_id=user_id,
)
if kb_result["status"] == "success":
kb_message_suffix = (
" Your knowledge base has also been updated."
)
else:
kb_message_suffix = " This event will be added to your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after create failed: {kb_err}")
kb_message_suffix = " This event will be added to your knowledge base in the next scheduled sync."
return {
"status": "success",
"event_id": created.get("id"),
"html_link": created.get("htmlLink"),
"message": f"Successfully created '{final_summary}' on Google Calendar.{kb_message_suffix}",
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -9,6 +9,7 @@ from langchain_core.tools import tool
from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.tools.hitl import request_approval
from app.db import async_session_maker
from app.services.google_calendar import GoogleCalendarToolMetadataService
logger = logging.getLogger(__name__)
@ -19,6 +20,23 @@ def create_delete_calendar_event_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the delete_calendar_event tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured delete_calendar_event tool
"""
del db_session # per-call session — see docstring
@tool
async def delete_calendar_event(
event_title_or_id: str,
@ -54,240 +72,258 @@ def create_delete_calendar_event_tool(
f"delete_calendar_event called: event_ref='{event_title_or_id}', delete_from_kb={delete_from_kb}"
)
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {
"status": "error",
"message": "Google Calendar tool not properly configured. Please contact support.",
}
try:
metadata_service = GoogleCalendarToolMetadataService(db_session)
context = await metadata_service.get_deletion_context(
search_space_id, user_id, event_title_or_id
)
if "error" in context:
error_msg = context["error"]
if "not found" in error_msg.lower():
logger.warning(f"Event not found: {error_msg}")
return {"status": "not_found", "message": error_msg}
logger.error(f"Failed to fetch deletion context: {error_msg}")
return {"status": "error", "message": error_msg}
account = context.get("account", {})
if account.get("auth_expired"):
logger.warning(
"Google Calendar account %s has expired authentication",
account.get("id"),
async with async_session_maker() as db_session:
metadata_service = GoogleCalendarToolMetadataService(db_session)
context = await metadata_service.get_deletion_context(
search_space_id, user_id, event_title_or_id
)
return {
"status": "auth_error",
"message": "The Google Calendar account for this event needs re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "google_calendar",
}
event = context["event"]
event_id = event["event_id"]
document_id = event.get("document_id")
connector_id_from_context = context["account"]["id"]
if "error" in context:
error_msg = context["error"]
if "not found" in error_msg.lower():
logger.warning(f"Event not found: {error_msg}")
return {"status": "not_found", "message": error_msg}
logger.error(f"Failed to fetch deletion context: {error_msg}")
return {"status": "error", "message": error_msg}
if not event_id:
return {
"status": "error",
"message": "Event ID is missing from the indexed document. Please re-index the event and try again.",
}
account = context.get("account", {})
if account.get("auth_expired"):
logger.warning(
"Google Calendar account %s has expired authentication",
account.get("id"),
)
return {
"status": "auth_error",
"message": "The Google Calendar account for this event needs re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "google_calendar",
}
logger.info(
f"Requesting approval for deleting calendar event: '{event_title_or_id}' (event_id={event_id}, delete_from_kb={delete_from_kb})"
)
result = request_approval(
action_type="google_calendar_event_deletion",
tool_name="delete_calendar_event",
params={
"event_id": event_id,
"connector_id": connector_id_from_context,
"delete_from_kb": delete_from_kb,
},
context=context,
)
event = context["event"]
event_id = event["event_id"]
document_id = event.get("document_id")
connector_id_from_context = context["account"]["id"]
if result.rejected:
return {
"status": "rejected",
"message": "User declined. The event was not deleted. Do not ask again or suggest alternatives.",
}
final_event_id = result.params.get("event_id", event_id)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
final_delete_from_kb = result.params.get("delete_from_kb", delete_from_kb)
if not final_connector_id:
return {
"status": "error",
"message": "No connector found for this event.",
}
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
_calendar_types = [
SearchSourceConnectorType.GOOGLE_CALENDAR_CONNECTOR,
SearchSourceConnectorType.COMPOSIO_GOOGLE_CALENDAR_CONNECTOR,
]
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_calendar_types),
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Google Calendar connector is invalid or has been disconnected.",
}
actual_connector_id = connector.id
logger.info(
f"Deleting calendar event: event_id='{final_event_id}', connector={actual_connector_id}"
)
if (
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GOOGLE_CALENDAR_CONNECTOR
):
from app.utils.google_credentials import build_composio_credentials
cca_id = connector.config.get("composio_connected_account_id")
if cca_id:
creds = build_composio_credentials(cca_id)
else:
if not event_id:
return {
"status": "error",
"message": "Composio connected account ID not found for this connector.",
"message": "Event ID is missing from the indexed document. Please re-index the event and try again.",
}
else:
config_data = dict(connector.config)
from app.config import config as app_config
from app.utils.oauth_security import TokenEncryption
token_encrypted = config_data.get("_token_encrypted", False)
if token_encrypted and app_config.SECRET_KEY:
token_encryption = TokenEncryption(app_config.SECRET_KEY)
for key in ("token", "refresh_token", "client_secret"):
if config_data.get(key):
config_data[key] = token_encryption.decrypt_token(
config_data[key]
)
exp = config_data.get("expiry", "")
if exp:
exp = exp.replace("Z", "")
creds = Credentials(
token=config_data.get("token"),
refresh_token=config_data.get("refresh_token"),
token_uri=config_data.get("token_uri"),
client_id=config_data.get("client_id"),
client_secret=config_data.get("client_secret"),
scopes=config_data.get("scopes", []),
expiry=datetime.fromisoformat(exp) if exp else None,
logger.info(
f"Requesting approval for deleting calendar event: '{event_title_or_id}' (event_id={event_id}, delete_from_kb={delete_from_kb})"
)
result = request_approval(
action_type="google_calendar_event_deletion",
tool_name="delete_calendar_event",
params={
"event_id": event_id,
"connector_id": connector_id_from_context,
"delete_from_kb": delete_from_kb,
},
context=context,
)
service = await asyncio.get_event_loop().run_in_executor(
None, lambda: build("calendar", "v3", credentials=creds)
)
try:
await asyncio.get_event_loop().run_in_executor(
None,
lambda: (
service.events()
.delete(calendarId="primary", eventId=final_event_id)
.execute()
),
)
except Exception as api_err:
from googleapiclient.errors import HttpError
if isinstance(api_err, HttpError) and api_err.resp.status == 403:
logger.warning(
f"Insufficient permissions for connector {actual_connector_id}: {api_err}"
)
try:
from sqlalchemy.orm.attributes import flag_modified
_res = await db_session.execute(
select(SearchSourceConnector).where(
SearchSourceConnector.id == actual_connector_id
)
)
_conn = _res.scalar_one_or_none()
if _conn and not _conn.config.get("auth_expired"):
_conn.config = {**_conn.config, "auth_expired": True}
flag_modified(_conn, "config")
await db_session.commit()
except Exception:
logger.warning(
"Failed to persist auth_expired for connector %s",
actual_connector_id,
exc_info=True,
)
if result.rejected:
return {
"status": "insufficient_permissions",
"connector_id": actual_connector_id,
"message": "This Google Calendar account needs additional permissions. Please re-authenticate in connector settings.",
"status": "rejected",
"message": "User declined. The event was not deleted. Do not ask again or suggest alternatives.",
}
raise
logger.info(f"Calendar event deleted: event_id={final_event_id}")
delete_result: dict[str, Any] = {
"status": "success",
"event_id": final_event_id,
"message": f"Successfully deleted the calendar event '{event.get('summary', event_title_or_id)}'.",
}
deleted_from_kb = False
if final_delete_from_kb and document_id:
try:
from app.db import Document
doc_result = await db_session.execute(
select(Document).filter(Document.id == document_id)
)
document = doc_result.scalars().first()
if document:
await db_session.delete(document)
await db_session.commit()
deleted_from_kb = True
logger.info(
f"Deleted document {document_id} from knowledge base"
)
else:
logger.warning(f"Document {document_id} not found in KB")
except Exception as e:
logger.error(f"Failed to delete document from KB: {e}")
await db_session.rollback()
delete_result["warning"] = (
f"Event deleted, but failed to remove from knowledge base: {e!s}"
)
delete_result["deleted_from_kb"] = deleted_from_kb
if deleted_from_kb:
delete_result["message"] = (
f"{delete_result.get('message', '')} (also removed from knowledge base)"
final_event_id = result.params.get("event_id", event_id)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
final_delete_from_kb = result.params.get(
"delete_from_kb", delete_from_kb
)
return delete_result
if not final_connector_id:
return {
"status": "error",
"message": "No connector found for this event.",
}
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
_calendar_types = [
SearchSourceConnectorType.GOOGLE_CALENDAR_CONNECTOR,
SearchSourceConnectorType.COMPOSIO_GOOGLE_CALENDAR_CONNECTOR,
]
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_calendar_types),
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Google Calendar connector is invalid or has been disconnected.",
}
actual_connector_id = connector.id
logger.info(
f"Deleting calendar event: event_id='{final_event_id}', connector={actual_connector_id}"
)
is_composio_calendar = (
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GOOGLE_CALENDAR_CONNECTOR
)
if is_composio_calendar:
cca_id = connector.config.get("composio_connected_account_id")
if not cca_id:
return {
"status": "error",
"message": "Composio connected account ID not found for this connector.",
}
else:
config_data = dict(connector.config)
from app.config import config as app_config
from app.utils.oauth_security import TokenEncryption
token_encrypted = config_data.get("_token_encrypted", False)
if token_encrypted and app_config.SECRET_KEY:
token_encryption = TokenEncryption(app_config.SECRET_KEY)
for key in ("token", "refresh_token", "client_secret"):
if config_data.get(key):
config_data[key] = token_encryption.decrypt_token(
config_data[key]
)
exp = config_data.get("expiry", "")
if exp:
exp = exp.replace("Z", "")
creds = Credentials(
token=config_data.get("token"),
refresh_token=config_data.get("refresh_token"),
token_uri=config_data.get("token_uri"),
client_id=config_data.get("client_id"),
client_secret=config_data.get("client_secret"),
scopes=config_data.get("scopes", []),
expiry=datetime.fromisoformat(exp) if exp else None,
)
try:
if is_composio_calendar:
from app.services.composio_service import ComposioService
composio_result = await ComposioService().execute_tool(
connected_account_id=cca_id,
tool_name="GOOGLECALENDAR_DELETE_EVENT",
params={
"calendar_id": "primary",
"event_id": final_event_id,
},
entity_id=f"surfsense_{user_id}",
)
if not composio_result.get("success"):
raise RuntimeError(
composio_result.get(
"error", "Unknown Composio Calendar error"
)
)
else:
service = await asyncio.get_event_loop().run_in_executor(
None, lambda: build("calendar", "v3", credentials=creds)
)
await asyncio.get_event_loop().run_in_executor(
None,
lambda: (
service.events()
.delete(calendarId="primary", eventId=final_event_id)
.execute()
),
)
except Exception as api_err:
from googleapiclient.errors import HttpError
if isinstance(api_err, HttpError) and api_err.resp.status == 403:
logger.warning(
f"Insufficient permissions for connector {actual_connector_id}: {api_err}"
)
try:
from sqlalchemy.orm.attributes import flag_modified
_res = await db_session.execute(
select(SearchSourceConnector).where(
SearchSourceConnector.id == actual_connector_id
)
)
_conn = _res.scalar_one_or_none()
if _conn and not _conn.config.get("auth_expired"):
_conn.config = {**_conn.config, "auth_expired": True}
flag_modified(_conn, "config")
await db_session.commit()
except Exception:
logger.warning(
"Failed to persist auth_expired for connector %s",
actual_connector_id,
exc_info=True,
)
return {
"status": "insufficient_permissions",
"connector_id": actual_connector_id,
"message": "This Google Calendar account needs additional permissions. Please re-authenticate in connector settings.",
}
raise
logger.info(f"Calendar event deleted: event_id={final_event_id}")
delete_result: dict[str, Any] = {
"status": "success",
"event_id": final_event_id,
"message": f"Successfully deleted the calendar event '{event.get('summary', event_title_or_id)}'.",
}
deleted_from_kb = False
if final_delete_from_kb and document_id:
try:
from app.db import Document
doc_result = await db_session.execute(
select(Document).filter(Document.id == document_id)
)
document = doc_result.scalars().first()
if document:
await db_session.delete(document)
await db_session.commit()
deleted_from_kb = True
logger.info(
f"Deleted document {document_id} from knowledge base"
)
else:
logger.warning(f"Document {document_id} not found in KB")
except Exception as e:
logger.error(f"Failed to delete document from KB: {e}")
await db_session.rollback()
delete_result["warning"] = (
f"Event deleted, but failed to remove from knowledge base: {e!s}"
)
delete_result["deleted_from_kb"] = deleted_from_kb
if deleted_from_kb:
delete_result["message"] = (
f"{delete_result.get('message', '')} (also removed from knowledge base)"
)
return delete_result
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -6,7 +6,7 @@ from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.future import select
from app.agents.new_chat.tools.gmail.search_emails import _build_credentials
from app.db import SearchSourceConnector, SearchSourceConnectorType
from app.db import SearchSourceConnector, SearchSourceConnectorType, async_session_maker
logger = logging.getLogger(__name__)
@ -16,11 +16,57 @@ _CALENDAR_TYPES = [
]
def _to_calendar_boundary(value: str, *, is_end: bool) -> str:
if "T" in value:
return value
time = "23:59:59" if is_end else "00:00:00"
return f"{value}T{time}Z"
def _format_calendar_events(events_raw: list[dict[str, Any]]) -> list[dict[str, Any]]:
events = []
for ev in events_raw:
start = ev.get("start", {})
end = ev.get("end", {})
attendees_raw = ev.get("attendees", [])
events.append(
{
"event_id": ev.get("id"),
"summary": ev.get("summary", "No Title"),
"start": start.get("dateTime") or start.get("date", ""),
"end": end.get("dateTime") or end.get("date", ""),
"location": ev.get("location", ""),
"description": ev.get("description", ""),
"html_link": ev.get("htmlLink", ""),
"attendees": [a.get("email", "") for a in attendees_raw[:10]],
"status": ev.get("status", ""),
}
)
return events
def create_search_calendar_events_tool(
db_session: AsyncSession | None = None,
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the search_calendar_events tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured search_calendar_events tool
"""
del db_session # per-call session — see docstring
@tool
async def search_calendar_events(
start_date: str,
@ -38,7 +84,7 @@ def create_search_calendar_events_tool(
Dictionary with status and a list of events including
event_id, summary, start, end, location, attendees.
"""
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {
"status": "error",
"message": "Calendar tool not properly configured.",
@ -47,76 +93,85 @@ def create_search_calendar_events_tool(
max_results = min(max_results, 50)
try:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_CALENDAR_TYPES),
async with async_session_maker() as db_session:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_CALENDAR_TYPES),
)
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "No Google Calendar connector found. Please connect Google Calendar in your workspace settings.",
}
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "No Google Calendar connector found. Please connect Google Calendar in your workspace settings.",
}
creds = _build_credentials(connector)
from app.connectors.google_calendar_connector import GoogleCalendarConnector
cal = GoogleCalendarConnector(
credentials=creds,
session=db_session,
user_id=user_id,
connector_id=connector.id,
)
events_raw, error = await cal.get_all_primary_calendar_events(
start_date=start_date,
end_date=end_date,
max_results=max_results,
)
if error:
if (
"re-authenticate" in error.lower()
or "authentication failed" in error.lower()
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GOOGLE_CALENDAR_CONNECTOR
):
return {
"status": "auth_error",
"message": error,
"connector_type": "google_calendar",
}
if "no events found" in error.lower():
return {
"status": "success",
"events": [],
"total": 0,
"message": error,
}
return {"status": "error", "message": error}
cca_id = connector.config.get("composio_connected_account_id")
if not cca_id:
return {
"status": "error",
"message": "Composio connected account ID not found for this connector.",
}
events = []
for ev in events_raw:
start = ev.get("start", {})
end = ev.get("end", {})
attendees_raw = ev.get("attendees", [])
events.append(
{
"event_id": ev.get("id"),
"summary": ev.get("summary", "No Title"),
"start": start.get("dateTime") or start.get("date", ""),
"end": end.get("dateTime") or end.get("date", ""),
"location": ev.get("location", ""),
"description": ev.get("description", ""),
"html_link": ev.get("htmlLink", ""),
"attendees": [a.get("email", "") for a in attendees_raw[:10]],
"status": ev.get("status", ""),
}
)
from app.services.composio_service import ComposioService
return {"status": "success", "events": events, "total": len(events)}
events_raw, error = await ComposioService().get_calendar_events(
connected_account_id=cca_id,
entity_id=f"surfsense_{user_id}",
time_min=_to_calendar_boundary(start_date, is_end=False),
time_max=_to_calendar_boundary(end_date, is_end=True),
max_results=max_results,
)
if not events_raw and not error:
error = "No events found in the specified date range."
else:
creds = _build_credentials(connector)
from app.connectors.google_calendar_connector import (
GoogleCalendarConnector,
)
cal = GoogleCalendarConnector(
credentials=creds,
session=db_session,
user_id=user_id,
connector_id=connector.id,
)
events_raw, error = await cal.get_all_primary_calendar_events(
start_date=start_date,
end_date=end_date,
max_results=max_results,
)
if error:
if (
"re-authenticate" in error.lower()
or "authentication failed" in error.lower()
):
return {
"status": "auth_error",
"message": error,
"connector_type": "google_calendar",
}
if "no events found" in error.lower():
return {
"status": "success",
"events": [],
"total": 0,
"message": error,
}
return {"status": "error", "message": error}
events = _format_calendar_events(events_raw)
return {"status": "success", "events": events, "total": len(events)}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -9,6 +9,7 @@ from langchain_core.tools import tool
from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.tools.hitl import request_approval
from app.db import async_session_maker
from app.services.google_calendar import GoogleCalendarToolMetadataService
logger = logging.getLogger(__name__)
@ -33,6 +34,23 @@ def create_update_calendar_event_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the update_calendar_event tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured update_calendar_event tool
"""
del db_session # per-call session — see docstring
@tool
async def update_calendar_event(
event_title_or_id: str,
@ -74,272 +92,317 @@ def create_update_calendar_event_tool(
"""
logger.info(f"update_calendar_event called: event_ref='{event_title_or_id}'")
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {
"status": "error",
"message": "Google Calendar tool not properly configured. Please contact support.",
}
try:
metadata_service = GoogleCalendarToolMetadataService(db_session)
context = await metadata_service.get_update_context(
search_space_id, user_id, event_title_or_id
)
if "error" in context:
error_msg = context["error"]
if "not found" in error_msg.lower():
logger.warning(f"Event not found: {error_msg}")
return {"status": "not_found", "message": error_msg}
logger.error(f"Failed to fetch update context: {error_msg}")
return {"status": "error", "message": error_msg}
if context.get("auth_expired"):
logger.warning("Google Calendar account has expired authentication")
return {
"status": "auth_error",
"message": "The Google Calendar account for this event needs re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "google_calendar",
}
event = context["event"]
event_id = event["event_id"]
document_id = event.get("document_id")
connector_id_from_context = context["account"]["id"]
if not event_id:
return {
"status": "error",
"message": "Event ID is missing from the indexed document. Please re-index the event and try again.",
}
logger.info(
f"Requesting approval for updating calendar event: '{event_title_or_id}' (event_id={event_id})"
)
result = request_approval(
action_type="google_calendar_event_update",
tool_name="update_calendar_event",
params={
"event_id": event_id,
"document_id": document_id,
"connector_id": connector_id_from_context,
"new_summary": new_summary,
"new_start_datetime": new_start_datetime,
"new_end_datetime": new_end_datetime,
"new_description": new_description,
"new_location": new_location,
"new_attendees": new_attendees,
},
context=context,
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. The event was not updated. Do not ask again or suggest alternatives.",
}
final_event_id = result.params.get("event_id", event_id)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
final_new_summary = result.params.get("new_summary", new_summary)
final_new_start_datetime = result.params.get(
"new_start_datetime", new_start_datetime
)
final_new_end_datetime = result.params.get(
"new_end_datetime", new_end_datetime
)
final_new_description = result.params.get(
"new_description", new_description
)
final_new_location = result.params.get("new_location", new_location)
final_new_attendees = result.params.get("new_attendees", new_attendees)
if not final_connector_id:
return {
"status": "error",
"message": "No connector found for this event.",
}
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
_calendar_types = [
SearchSourceConnectorType.GOOGLE_CALENDAR_CONNECTOR,
SearchSourceConnectorType.COMPOSIO_GOOGLE_CALENDAR_CONNECTOR,
]
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_calendar_types),
async with async_session_maker() as db_session:
metadata_service = GoogleCalendarToolMetadataService(db_session)
context = await metadata_service.get_update_context(
search_space_id, user_id, event_title_or_id
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Google Calendar connector is invalid or has been disconnected.",
}
actual_connector_id = connector.id
if "error" in context:
error_msg = context["error"]
if "not found" in error_msg.lower():
logger.warning(f"Event not found: {error_msg}")
return {"status": "not_found", "message": error_msg}
logger.error(f"Failed to fetch update context: {error_msg}")
return {"status": "error", "message": error_msg}
logger.info(
f"Updating calendar event: event_id='{final_event_id}', connector={actual_connector_id}"
)
if context.get("auth_expired"):
logger.warning("Google Calendar account has expired authentication")
return {
"status": "auth_error",
"message": "The Google Calendar account for this event needs re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "google_calendar",
}
if (
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GOOGLE_CALENDAR_CONNECTOR
):
from app.utils.google_credentials import build_composio_credentials
event = context["event"]
event_id = event["event_id"]
document_id = event.get("document_id")
connector_id_from_context = context["account"]["id"]
cca_id = connector.config.get("composio_connected_account_id")
if cca_id:
creds = build_composio_credentials(cca_id)
else:
if not event_id:
return {
"status": "error",
"message": "Composio connected account ID not found for this connector.",
"message": "Event ID is missing from the indexed document. Please re-index the event and try again.",
}
else:
config_data = dict(connector.config)
from app.config import config as app_config
from app.utils.oauth_security import TokenEncryption
token_encrypted = config_data.get("_token_encrypted", False)
if token_encrypted and app_config.SECRET_KEY:
token_encryption = TokenEncryption(app_config.SECRET_KEY)
for key in ("token", "refresh_token", "client_secret"):
if config_data.get(key):
config_data[key] = token_encryption.decrypt_token(
config_data[key]
)
exp = config_data.get("expiry", "")
if exp:
exp = exp.replace("Z", "")
creds = Credentials(
token=config_data.get("token"),
refresh_token=config_data.get("refresh_token"),
token_uri=config_data.get("token_uri"),
client_id=config_data.get("client_id"),
client_secret=config_data.get("client_secret"),
scopes=config_data.get("scopes", []),
expiry=datetime.fromisoformat(exp) if exp else None,
logger.info(
f"Requesting approval for updating calendar event: '{event_title_or_id}' (event_id={event_id})"
)
result = request_approval(
action_type="google_calendar_event_update",
tool_name="update_calendar_event",
params={
"event_id": event_id,
"document_id": document_id,
"connector_id": connector_id_from_context,
"new_summary": new_summary,
"new_start_datetime": new_start_datetime,
"new_end_datetime": new_end_datetime,
"new_description": new_description,
"new_location": new_location,
"new_attendees": new_attendees,
},
context=context,
)
service = await asyncio.get_event_loop().run_in_executor(
None, lambda: build("calendar", "v3", credentials=creds)
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. The event was not updated. Do not ask again or suggest alternatives.",
}
update_body: dict[str, Any] = {}
if final_new_summary is not None:
update_body["summary"] = final_new_summary
if final_new_start_datetime is not None:
update_body["start"] = _build_time_body(
final_new_start_datetime, context
final_event_id = result.params.get("event_id", event_id)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
if final_new_end_datetime is not None:
update_body["end"] = _build_time_body(final_new_end_datetime, context)
if final_new_description is not None:
update_body["description"] = final_new_description
if final_new_location is not None:
update_body["location"] = final_new_location
if final_new_attendees is not None:
update_body["attendees"] = [
{"email": e.strip()} for e in final_new_attendees if e.strip()
final_new_summary = result.params.get("new_summary", new_summary)
final_new_start_datetime = result.params.get(
"new_start_datetime", new_start_datetime
)
final_new_end_datetime = result.params.get(
"new_end_datetime", new_end_datetime
)
final_new_description = result.params.get(
"new_description", new_description
)
final_new_location = result.params.get("new_location", new_location)
final_new_attendees = result.params.get("new_attendees", new_attendees)
if not final_connector_id:
return {
"status": "error",
"message": "No connector found for this event.",
}
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
_calendar_types = [
SearchSourceConnectorType.GOOGLE_CALENDAR_CONNECTOR,
SearchSourceConnectorType.COMPOSIO_GOOGLE_CALENDAR_CONNECTOR,
]
if not update_body:
return {
"status": "error",
"message": "No changes specified. Please provide at least one field to update.",
}
try:
updated = await asyncio.get_event_loop().run_in_executor(
None,
lambda: (
service.events()
.patch(
calendarId="primary",
eventId=final_event_id,
body=update_body,
)
.execute()
),
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_calendar_types),
)
)
except Exception as api_err:
from googleapiclient.errors import HttpError
if isinstance(api_err, HttpError) and api_err.resp.status == 403:
logger.warning(
f"Insufficient permissions for connector {actual_connector_id}: {api_err}"
)
try:
from sqlalchemy.orm.attributes import flag_modified
_res = await db_session.execute(
select(SearchSourceConnector).where(
SearchSourceConnector.id == actual_connector_id
)
)
_conn = _res.scalar_one_or_none()
if _conn and not _conn.config.get("auth_expired"):
_conn.config = {**_conn.config, "auth_expired": True}
flag_modified(_conn, "config")
await db_session.commit()
except Exception:
logger.warning(
"Failed to persist auth_expired for connector %s",
actual_connector_id,
exc_info=True,
)
connector = result.scalars().first()
if not connector:
return {
"status": "insufficient_permissions",
"connector_id": actual_connector_id,
"message": "This Google Calendar account needs additional permissions. Please re-authenticate in connector settings.",
"status": "error",
"message": "Selected Google Calendar connector is invalid or has been disconnected.",
}
raise
logger.info(f"Calendar event updated: event_id={final_event_id}")
actual_connector_id = connector.id
kb_message_suffix = ""
if document_id is not None:
try:
from app.services.google_calendar import GoogleCalendarKBSyncService
logger.info(
f"Updating calendar event: event_id='{final_event_id}', connector={actual_connector_id}"
)
kb_service = GoogleCalendarKBSyncService(db_session)
kb_result = await kb_service.sync_after_update(
document_id=document_id,
event_id=final_event_id,
connector_id=actual_connector_id,
search_space_id=search_space_id,
user_id=user_id,
is_composio_calendar = (
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GOOGLE_CALENDAR_CONNECTOR
)
if is_composio_calendar:
cca_id = connector.config.get("composio_connected_account_id")
if not cca_id:
return {
"status": "error",
"message": "Composio connected account ID not found for this connector.",
}
else:
config_data = dict(connector.config)
from app.config import config as app_config
from app.utils.oauth_security import TokenEncryption
token_encrypted = config_data.get("_token_encrypted", False)
if token_encrypted and app_config.SECRET_KEY:
token_encryption = TokenEncryption(app_config.SECRET_KEY)
for key in ("token", "refresh_token", "client_secret"):
if config_data.get(key):
config_data[key] = token_encryption.decrypt_token(
config_data[key]
)
exp = config_data.get("expiry", "")
if exp:
exp = exp.replace("Z", "")
creds = Credentials(
token=config_data.get("token"),
refresh_token=config_data.get("refresh_token"),
token_uri=config_data.get("token_uri"),
client_id=config_data.get("client_id"),
client_secret=config_data.get("client_secret"),
scopes=config_data.get("scopes", []),
expiry=datetime.fromisoformat(exp) if exp else None,
)
if kb_result["status"] == "success":
kb_message_suffix = (
" Your knowledge base has also been updated."
)
else:
kb_message_suffix = " The knowledge base will be updated in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after update failed: {kb_err}")
kb_message_suffix = " The knowledge base will be updated in the next scheduled sync."
return {
"status": "success",
"event_id": final_event_id,
"html_link": updated.get("htmlLink"),
"message": f"Successfully updated the calendar event.{kb_message_suffix}",
}
update_body: dict[str, Any] = {}
if final_new_summary is not None:
update_body["summary"] = final_new_summary
if final_new_start_datetime is not None:
update_body["start"] = _build_time_body(
final_new_start_datetime, context
)
if final_new_end_datetime is not None:
update_body["end"] = _build_time_body(
final_new_end_datetime, context
)
if final_new_description is not None:
update_body["description"] = final_new_description
if final_new_location is not None:
update_body["location"] = final_new_location
if final_new_attendees is not None:
update_body["attendees"] = [
{"email": e.strip()} for e in final_new_attendees if e.strip()
]
if not update_body:
return {
"status": "error",
"message": "No changes specified. Please provide at least one field to update.",
}
try:
if is_composio_calendar:
from app.services.composio_service import ComposioService
composio_params: dict[str, Any] = {
"calendar_id": "primary",
"event_id": final_event_id,
}
if final_new_summary is not None:
composio_params["summary"] = final_new_summary
if final_new_start_datetime is not None:
composio_params["start_time"] = final_new_start_datetime
if final_new_end_datetime is not None:
composio_params["end_time"] = final_new_end_datetime
if final_new_description is not None:
composio_params["description"] = final_new_description
if final_new_location is not None:
composio_params["location"] = final_new_location
if final_new_attendees is not None:
composio_params["attendees"] = [
e.strip() for e in final_new_attendees if e.strip()
]
if not _is_date_only(
final_new_start_datetime or final_new_end_datetime or ""
):
composio_params["timezone"] = context.get("timezone", "UTC")
composio_result = await ComposioService().execute_tool(
connected_account_id=cca_id,
tool_name="GOOGLECALENDAR_PATCH_EVENT",
params=composio_params,
entity_id=f"surfsense_{user_id}",
)
if not composio_result.get("success"):
raise RuntimeError(
composio_result.get(
"error", "Unknown Composio Calendar error"
)
)
updated = composio_result.get("data", {})
if isinstance(updated, dict):
updated = updated.get("data", updated)
if isinstance(updated, dict):
updated = updated.get("response_data", updated)
else:
service = await asyncio.get_event_loop().run_in_executor(
None, lambda: build("calendar", "v3", credentials=creds)
)
updated = await asyncio.get_event_loop().run_in_executor(
None,
lambda: (
service.events()
.patch(
calendarId="primary",
eventId=final_event_id,
body=update_body,
)
.execute()
),
)
except Exception as api_err:
from googleapiclient.errors import HttpError
if isinstance(api_err, HttpError) and api_err.resp.status == 403:
logger.warning(
f"Insufficient permissions for connector {actual_connector_id}: {api_err}"
)
try:
from sqlalchemy.orm.attributes import flag_modified
_res = await db_session.execute(
select(SearchSourceConnector).where(
SearchSourceConnector.id == actual_connector_id
)
)
_conn = _res.scalar_one_or_none()
if _conn and not _conn.config.get("auth_expired"):
_conn.config = {**_conn.config, "auth_expired": True}
flag_modified(_conn, "config")
await db_session.commit()
except Exception:
logger.warning(
"Failed to persist auth_expired for connector %s",
actual_connector_id,
exc_info=True,
)
return {
"status": "insufficient_permissions",
"connector_id": actual_connector_id,
"message": "This Google Calendar account needs additional permissions. Please re-authenticate in connector settings.",
}
raise
logger.info(f"Calendar event updated: event_id={final_event_id}")
kb_message_suffix = ""
if document_id is not None:
try:
from app.services.google_calendar import (
GoogleCalendarKBSyncService,
)
kb_service = GoogleCalendarKBSyncService(db_session)
kb_result = await kb_service.sync_after_update(
document_id=document_id,
event_id=final_event_id,
connector_id=actual_connector_id,
search_space_id=search_space_id,
user_id=user_id,
)
if kb_result["status"] == "success":
kb_message_suffix = (
" Your knowledge base has also been updated."
)
else:
kb_message_suffix = " The knowledge base will be updated in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after update failed: {kb_err}")
kb_message_suffix = " The knowledge base will be updated in the next scheduled sync."
return {
"status": "success",
"event_id": final_event_id,
"html_link": updated.get("htmlLink"),
"message": f"Successfully updated the calendar event.{kb_message_suffix}",
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -8,6 +8,7 @@ from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.tools.hitl import request_approval
from app.connectors.google_drive.client import GoogleDriveClient
from app.connectors.google_drive.file_types import GOOGLE_DOC, GOOGLE_SHEET
from app.db import async_session_maker
from app.services.google_drive import GoogleDriveToolMetadataService
logger = logging.getLogger(__name__)
@ -23,6 +24,25 @@ def create_create_google_drive_file_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the create_google_drive_file tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
search_space_id: Search space ID to find the Google Drive connector
user_id: User ID for fetching user-specific context
Returns:
Configured create_google_drive_file tool
"""
del db_session # per-call session — see docstring
@tool
async def create_google_drive_file(
name: str,
@ -65,7 +85,7 @@ def create_create_google_drive_file_tool(
f"create_google_drive_file called: name='{name}', type='{file_type}'"
)
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {
"status": "error",
"message": "Google Drive tool not properly configured. Please contact support.",
@ -78,195 +98,232 @@ def create_create_google_drive_file_tool(
}
try:
metadata_service = GoogleDriveToolMetadataService(db_session)
context = await metadata_service.get_creation_context(
search_space_id, user_id
)
async with async_session_maker() as db_session:
metadata_service = GoogleDriveToolMetadataService(db_session)
context = await metadata_service.get_creation_context(
search_space_id, user_id
)
if "error" in context:
logger.error(f"Failed to fetch creation context: {context['error']}")
return {"status": "error", "message": context["error"]}
accounts = context.get("accounts", [])
if accounts and all(a.get("auth_expired") for a in accounts):
logger.warning("All Google Drive accounts have expired authentication")
return {
"status": "auth_error",
"message": "All connected Google Drive accounts need re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "google_drive",
}
logger.info(
f"Requesting approval for creating Google Drive file: name='{name}', type='{file_type}'"
)
result = request_approval(
action_type="google_drive_file_creation",
tool_name="create_google_drive_file",
params={
"name": name,
"file_type": file_type,
"content": content,
"connector_id": None,
"parent_folder_id": None,
},
context=context,
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. The file was not created. Do not ask again or suggest alternatives.",
}
final_name = result.params.get("name", name)
final_file_type = result.params.get("file_type", file_type)
final_content = result.params.get("content", content)
final_connector_id = result.params.get("connector_id")
final_parent_folder_id = result.params.get("parent_folder_id")
if not final_name or not final_name.strip():
return {"status": "error", "message": "File name cannot be empty."}
mime_type = _MIME_MAP.get(final_file_type)
if not mime_type:
return {
"status": "error",
"message": f"Unsupported file type '{final_file_type}'.",
}
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
_drive_types = [
SearchSourceConnectorType.GOOGLE_DRIVE_CONNECTOR,
SearchSourceConnectorType.COMPOSIO_GOOGLE_DRIVE_CONNECTOR,
]
if final_connector_id is not None:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_drive_types),
if "error" in context:
logger.error(
f"Failed to fetch creation context: {context['error']}"
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Google Drive connector is invalid or has been disconnected.",
}
actual_connector_id = connector.id
else:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_drive_types),
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "No Google Drive connector found. Please connect Google Drive in your workspace settings.",
}
actual_connector_id = connector.id
return {"status": "error", "message": context["error"]}
logger.info(
f"Creating Google Drive file: name='{final_name}', type='{final_file_type}', connector={actual_connector_id}"
)
pre_built_creds = None
if (
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GOOGLE_DRIVE_CONNECTOR
):
from app.utils.google_credentials import build_composio_credentials
cca_id = connector.config.get("composio_connected_account_id")
if cca_id:
pre_built_creds = build_composio_credentials(cca_id)
client = GoogleDriveClient(
session=db_session,
connector_id=actual_connector_id,
credentials=pre_built_creds,
)
try:
created = await client.create_file(
name=final_name,
mime_type=mime_type,
parent_folder_id=final_parent_folder_id,
content=final_content,
)
except HttpError as http_err:
if http_err.resp.status == 403:
accounts = context.get("accounts", [])
if accounts and all(a.get("auth_expired") for a in accounts):
logger.warning(
f"Insufficient permissions for connector {actual_connector_id}: {http_err}"
"All Google Drive accounts have expired authentication"
)
try:
from sqlalchemy.orm.attributes import flag_modified
_res = await db_session.execute(
select(SearchSourceConnector).where(
SearchSourceConnector.id == actual_connector_id
)
)
_conn = _res.scalar_one_or_none()
if _conn and not _conn.config.get("auth_expired"):
_conn.config = {**_conn.config, "auth_expired": True}
flag_modified(_conn, "config")
await db_session.commit()
except Exception:
logger.warning(
"Failed to persist auth_expired for connector %s",
actual_connector_id,
exc_info=True,
)
return {
"status": "insufficient_permissions",
"connector_id": actual_connector_id,
"message": "This Google Drive account needs additional permissions. Please re-authenticate in connector settings.",
"status": "auth_error",
"message": "All connected Google Drive accounts need re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "google_drive",
}
raise
logger.info(
f"Google Drive file created: id={created.get('id')}, name={created.get('name')}"
)
kb_message_suffix = ""
try:
from app.services.google_drive import GoogleDriveKBSyncService
kb_service = GoogleDriveKBSyncService(db_session)
kb_result = await kb_service.sync_after_create(
file_id=created.get("id"),
file_name=created.get("name", final_name),
mime_type=mime_type,
web_view_link=created.get("webViewLink"),
content=final_content,
connector_id=actual_connector_id,
search_space_id=search_space_id,
user_id=user_id,
logger.info(
f"Requesting approval for creating Google Drive file: name='{name}', type='{file_type}'"
)
result = request_approval(
action_type="google_drive_file_creation",
tool_name="create_google_drive_file",
params={
"name": name,
"file_type": file_type,
"content": content,
"connector_id": None,
"parent_folder_id": None,
},
context=context,
)
if kb_result["status"] == "success":
kb_message_suffix = " Your knowledge base has also been updated."
else:
kb_message_suffix = " This file will be added to your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after create failed: {kb_err}")
kb_message_suffix = " This file will be added to your knowledge base in the next scheduled sync."
return {
"status": "success",
"file_id": created.get("id"),
"name": created.get("name"),
"web_view_link": created.get("webViewLink"),
"message": f"Successfully created '{created.get('name')}' in Google Drive.{kb_message_suffix}",
}
if result.rejected:
return {
"status": "rejected",
"message": "User declined. The file was not created. Do not ask again or suggest alternatives.",
}
final_name = result.params.get("name", name)
final_file_type = result.params.get("file_type", file_type)
final_content = result.params.get("content", content)
final_connector_id = result.params.get("connector_id")
final_parent_folder_id = result.params.get("parent_folder_id")
if not final_name or not final_name.strip():
return {"status": "error", "message": "File name cannot be empty."}
mime_type = _MIME_MAP.get(final_file_type)
if not mime_type:
return {
"status": "error",
"message": f"Unsupported file type '{final_file_type}'.",
}
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
_drive_types = [
SearchSourceConnectorType.GOOGLE_DRIVE_CONNECTOR,
SearchSourceConnectorType.COMPOSIO_GOOGLE_DRIVE_CONNECTOR,
]
if final_connector_id is not None:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_drive_types),
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Google Drive connector is invalid or has been disconnected.",
}
actual_connector_id = connector.id
else:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_drive_types),
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "No Google Drive connector found. Please connect Google Drive in your workspace settings.",
}
actual_connector_id = connector.id
logger.info(
f"Creating Google Drive file: name='{final_name}', type='{final_file_type}', connector={actual_connector_id}"
)
is_composio_drive = (
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GOOGLE_DRIVE_CONNECTOR
)
if is_composio_drive:
cca_id = connector.config.get("composio_connected_account_id")
if not cca_id:
return {
"status": "error",
"message": "Composio connected account ID not found for this Drive connector.",
}
client = GoogleDriveClient(
session=db_session,
connector_id=actual_connector_id,
)
try:
if is_composio_drive:
from app.services.composio_service import ComposioService
params: dict[str, Any] = {
"name": final_name,
"mimeType": mime_type,
"fields": "id,name,webViewLink,mimeType",
}
if final_parent_folder_id:
params["parents"] = [final_parent_folder_id]
if final_content:
params["description"] = final_content[:4096]
result = await ComposioService().execute_tool(
connected_account_id=cca_id,
tool_name="GOOGLEDRIVE_CREATE_FILE",
params=params,
entity_id=f"surfsense_{user_id}",
)
if not result.get("success"):
raise RuntimeError(
result.get("error", "Unknown Composio Drive error")
)
created = result.get("data", {})
if isinstance(created, dict):
created = created.get("data", created)
if isinstance(created, dict):
created = created.get("response_data", created)
if not isinstance(created, dict):
created = {}
else:
created = await client.create_file(
name=final_name,
mime_type=mime_type,
parent_folder_id=final_parent_folder_id,
content=final_content,
)
except HttpError as http_err:
if http_err.resp.status == 403:
logger.warning(
f"Insufficient permissions for connector {actual_connector_id}: {http_err}"
)
try:
from sqlalchemy.orm.attributes import flag_modified
_res = await db_session.execute(
select(SearchSourceConnector).where(
SearchSourceConnector.id == actual_connector_id
)
)
_conn = _res.scalar_one_or_none()
if _conn and not _conn.config.get("auth_expired"):
_conn.config = {**_conn.config, "auth_expired": True}
flag_modified(_conn, "config")
await db_session.commit()
except Exception:
logger.warning(
"Failed to persist auth_expired for connector %s",
actual_connector_id,
exc_info=True,
)
return {
"status": "insufficient_permissions",
"connector_id": actual_connector_id,
"message": "This Google Drive account needs additional permissions. Please re-authenticate in connector settings.",
}
raise
logger.info(
f"Google Drive file created: id={created.get('id')}, name={created.get('name')}"
)
kb_message_suffix = ""
try:
from app.services.google_drive import GoogleDriveKBSyncService
kb_service = GoogleDriveKBSyncService(db_session)
kb_result = await kb_service.sync_after_create(
file_id=created.get("id"),
file_name=created.get("name", final_name),
mime_type=mime_type,
web_view_link=created.get("webViewLink"),
content=final_content,
connector_id=actual_connector_id,
search_space_id=search_space_id,
user_id=user_id,
)
if kb_result["status"] == "success":
kb_message_suffix = (
" Your knowledge base has also been updated."
)
else:
kb_message_suffix = " This file will be added to your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after create failed: {kb_err}")
kb_message_suffix = " This file will be added to your knowledge base in the next scheduled sync."
return {
"status": "success",
"file_id": created.get("id"),
"name": created.get("name"),
"web_view_link": created.get("webViewLink"),
"message": f"Successfully created '{created.get('name')}' in Google Drive.{kb_message_suffix}",
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -7,6 +7,7 @@ from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.tools.hitl import request_approval
from app.connectors.google_drive.client import GoogleDriveClient
from app.db import async_session_maker
from app.services.google_drive import GoogleDriveToolMetadataService
logger = logging.getLogger(__name__)
@ -17,6 +18,25 @@ def create_delete_google_drive_file_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the delete_google_drive_file tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
search_space_id: Search space ID to find the Google Drive connector
user_id: User ID for fetching user-specific context
Returns:
Configured delete_google_drive_file tool
"""
del db_session # per-call session — see docstring
@tool
async def delete_google_drive_file(
file_name: str,
@ -55,197 +75,214 @@ def create_delete_google_drive_file_tool(
f"delete_google_drive_file called: file_name='{file_name}', delete_from_kb={delete_from_kb}"
)
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {
"status": "error",
"message": "Google Drive tool not properly configured. Please contact support.",
}
try:
metadata_service = GoogleDriveToolMetadataService(db_session)
context = await metadata_service.get_trash_context(
search_space_id, user_id, file_name
)
if "error" in context:
error_msg = context["error"]
if "not found" in error_msg.lower():
logger.warning(f"File not found: {error_msg}")
return {"status": "not_found", "message": error_msg}
logger.error(f"Failed to fetch trash context: {error_msg}")
return {"status": "error", "message": error_msg}
account = context.get("account", {})
if account.get("auth_expired"):
logger.warning(
"Google Drive account %s has expired authentication",
account.get("id"),
async with async_session_maker() as db_session:
metadata_service = GoogleDriveToolMetadataService(db_session)
context = await metadata_service.get_trash_context(
search_space_id, user_id, file_name
)
return {
"status": "auth_error",
"message": "The Google Drive account for this file needs re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "google_drive",
}
file = context["file"]
file_id = file["file_id"]
document_id = file.get("document_id")
connector_id_from_context = context["account"]["id"]
if "error" in context:
error_msg = context["error"]
if "not found" in error_msg.lower():
logger.warning(f"File not found: {error_msg}")
return {"status": "not_found", "message": error_msg}
logger.error(f"Failed to fetch trash context: {error_msg}")
return {"status": "error", "message": error_msg}
if not file_id:
return {
"status": "error",
"message": "File ID is missing from the indexed document. Please re-index the file and try again.",
}
logger.info(
f"Requesting approval for deleting Google Drive file: '{file_name}' (file_id={file_id}, delete_from_kb={delete_from_kb})"
)
result = request_approval(
action_type="google_drive_file_trash",
tool_name="delete_google_drive_file",
params={
"file_id": file_id,
"connector_id": connector_id_from_context,
"delete_from_kb": delete_from_kb,
},
context=context,
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. The file was not trashed. Do not ask again or suggest alternatives.",
}
final_file_id = result.params.get("file_id", file_id)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
final_delete_from_kb = result.params.get("delete_from_kb", delete_from_kb)
if not final_connector_id:
return {
"status": "error",
"message": "No connector found for this file.",
}
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
_drive_types = [
SearchSourceConnectorType.GOOGLE_DRIVE_CONNECTOR,
SearchSourceConnectorType.COMPOSIO_GOOGLE_DRIVE_CONNECTOR,
]
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_drive_types),
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Google Drive connector is invalid or has been disconnected.",
}
logger.info(
f"Deleting Google Drive file: file_id='{final_file_id}', connector={final_connector_id}"
)
pre_built_creds = None
if (
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GOOGLE_DRIVE_CONNECTOR
):
from app.utils.google_credentials import build_composio_credentials
cca_id = connector.config.get("composio_connected_account_id")
if cca_id:
pre_built_creds = build_composio_credentials(cca_id)
client = GoogleDriveClient(
session=db_session,
connector_id=connector.id,
credentials=pre_built_creds,
)
try:
await client.trash_file(file_id=final_file_id)
except HttpError as http_err:
if http_err.resp.status == 403:
account = context.get("account", {})
if account.get("auth_expired"):
logger.warning(
f"Insufficient permissions for connector {connector.id}: {http_err}"
"Google Drive account %s has expired authentication",
account.get("id"),
)
try:
from sqlalchemy.orm.attributes import flag_modified
if not connector.config.get("auth_expired"):
connector.config = {
**connector.config,
"auth_expired": True,
}
flag_modified(connector, "config")
await db_session.commit()
except Exception:
logger.warning(
"Failed to persist auth_expired for connector %s",
connector.id,
exc_info=True,
)
return {
"status": "insufficient_permissions",
"connector_id": connector.id,
"message": "This Google Drive account needs additional permissions. Please re-authenticate in connector settings.",
"status": "auth_error",
"message": "The Google Drive account for this file needs re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "google_drive",
}
raise
logger.info(
f"Google Drive file deleted (moved to trash): file_id={final_file_id}"
)
file = context["file"]
file_id = file["file_id"]
document_id = file.get("document_id")
connector_id_from_context = context["account"]["id"]
trash_result: dict[str, Any] = {
"status": "success",
"file_id": final_file_id,
"message": f"Successfully moved '{file['name']}' to trash.",
}
if not file_id:
return {
"status": "error",
"message": "File ID is missing from the indexed document. Please re-index the file and try again.",
}
deleted_from_kb = False
if final_delete_from_kb and document_id:
try:
from app.db import Document
doc_result = await db_session.execute(
select(Document).filter(Document.id == document_id)
)
document = doc_result.scalars().first()
if document:
await db_session.delete(document)
await db_session.commit()
deleted_from_kb = True
logger.info(
f"Deleted document {document_id} from knowledge base"
)
else:
logger.warning(f"Document {document_id} not found in KB")
except Exception as e:
logger.error(f"Failed to delete document from KB: {e}")
await db_session.rollback()
trash_result["warning"] = (
f"File moved to trash, but failed to remove from knowledge base: {e!s}"
)
trash_result["deleted_from_kb"] = deleted_from_kb
if deleted_from_kb:
trash_result["message"] = (
f"{trash_result.get('message', '')} (also removed from knowledge base)"
logger.info(
f"Requesting approval for deleting Google Drive file: '{file_name}' (file_id={file_id}, delete_from_kb={delete_from_kb})"
)
result = request_approval(
action_type="google_drive_file_trash",
tool_name="delete_google_drive_file",
params={
"file_id": file_id,
"connector_id": connector_id_from_context,
"delete_from_kb": delete_from_kb,
},
context=context,
)
return trash_result
if result.rejected:
return {
"status": "rejected",
"message": "User declined. The file was not trashed. Do not ask again or suggest alternatives.",
}
final_file_id = result.params.get("file_id", file_id)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
final_delete_from_kb = result.params.get(
"delete_from_kb", delete_from_kb
)
if not final_connector_id:
return {
"status": "error",
"message": "No connector found for this file.",
}
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
_drive_types = [
SearchSourceConnectorType.GOOGLE_DRIVE_CONNECTOR,
SearchSourceConnectorType.COMPOSIO_GOOGLE_DRIVE_CONNECTOR,
]
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type.in_(_drive_types),
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Google Drive connector is invalid or has been disconnected.",
}
logger.info(
f"Deleting Google Drive file: file_id='{final_file_id}', connector={final_connector_id}"
)
is_composio_drive = (
connector.connector_type
== SearchSourceConnectorType.COMPOSIO_GOOGLE_DRIVE_CONNECTOR
)
if is_composio_drive:
cca_id = connector.config.get("composio_connected_account_id")
if not cca_id:
return {
"status": "error",
"message": "Composio connected account ID not found for this Drive connector.",
}
client = GoogleDriveClient(
session=db_session,
connector_id=connector.id,
)
try:
if is_composio_drive:
from app.services.composio_service import ComposioService
result = await ComposioService().execute_tool(
connected_account_id=cca_id,
tool_name="GOOGLEDRIVE_TRASH_FILE",
params={"file_id": final_file_id},
entity_id=f"surfsense_{user_id}",
)
if not result.get("success"):
raise RuntimeError(
result.get("error", "Unknown Composio Drive error")
)
else:
await client.trash_file(file_id=final_file_id)
except HttpError as http_err:
if http_err.resp.status == 403:
logger.warning(
f"Insufficient permissions for connector {connector.id}: {http_err}"
)
try:
from sqlalchemy.orm.attributes import flag_modified
if not connector.config.get("auth_expired"):
connector.config = {
**connector.config,
"auth_expired": True,
}
flag_modified(connector, "config")
await db_session.commit()
except Exception:
logger.warning(
"Failed to persist auth_expired for connector %s",
connector.id,
exc_info=True,
)
return {
"status": "insufficient_permissions",
"connector_id": connector.id,
"message": "This Google Drive account needs additional permissions. Please re-authenticate in connector settings.",
}
raise
logger.info(
f"Google Drive file deleted (moved to trash): file_id={final_file_id}"
)
trash_result: dict[str, Any] = {
"status": "success",
"file_id": final_file_id,
"message": f"Successfully moved '{file['name']}' to trash.",
}
deleted_from_kb = False
if final_delete_from_kb and document_id:
try:
from app.db import Document
doc_result = await db_session.execute(
select(Document).filter(Document.id == document_id)
)
document = doc_result.scalars().first()
if document:
await db_session.delete(document)
await db_session.commit()
deleted_from_kb = True
logger.info(
f"Deleted document {document_id} from knowledge base"
)
else:
logger.warning(f"Document {document_id} not found in KB")
except Exception as e:
logger.error(f"Failed to delete document from KB: {e}")
await db_session.rollback()
trash_result["warning"] = (
f"File moved to trash, but failed to remove from knowledge base: {e!s}"
)
trash_result["deleted_from_kb"] = deleted_from_kb
if deleted_from_kb:
trash_result["message"] = (
f"{trash_result.get('message', '')} (also removed from knowledge base)"
)
return trash_result
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -50,6 +50,7 @@ DEFAULT_AUTO_APPROVED_TOOLS: frozenset[str] = frozenset(
{
"create_gmail_draft",
"update_gmail_draft",
"create_calendar_event",
"create_notion_page",
"create_confluence_page",
"create_google_drive_file",

View file

@ -8,6 +8,7 @@ from sqlalchemy.orm.attributes import flag_modified
from app.agents.new_chat.tools.hitl import request_approval
from app.connectors.jira_history import JiraHistoryConnector
from app.db import async_session_maker
from app.services.jira import JiraToolMetadataService
logger = logging.getLogger(__name__)
@ -19,6 +20,28 @@ def create_create_jira_issue_tool(
user_id: str | None = None,
connector_id: int | None = None,
):
"""Factory function to create the create_jira_issue tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker`. This is critical for the compiled-agent
cache: the compiled graph (and therefore this closure) is reused
across HTTP requests, so capturing a per-request session here would
surface stale/closed sessions on cache hits. Per-call sessions also
keep the request's outer transaction free of long-running Jira API
blocking.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
search_space_id: Search space ID to find the Jira connector
user_id: User ID for fetching user-specific context
connector_id: Optional specific connector ID (if known)
Returns:
Configured create_jira_issue tool
"""
del db_session # per-call session — see docstring
@tool
async def create_jira_issue(
project_key: str,
@ -49,158 +72,167 @@ def create_create_jira_issue_tool(
f"create_jira_issue called: project_key='{project_key}', summary='{summary}'"
)
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {"status": "error", "message": "Jira tool not properly configured."}
try:
metadata_service = JiraToolMetadataService(db_session)
context = await metadata_service.get_creation_context(
search_space_id, user_id
)
if "error" in context:
return {"status": "error", "message": context["error"]}
accounts = context.get("accounts", [])
if accounts and all(a.get("auth_expired") for a in accounts):
return {
"status": "auth_error",
"message": "All connected Jira accounts need re-authentication.",
"connector_type": "jira",
}
result = request_approval(
action_type="jira_issue_creation",
tool_name="create_jira_issue",
params={
"project_key": project_key,
"summary": summary,
"issue_type": issue_type,
"description": description,
"priority": priority,
"connector_id": connector_id,
},
context=context,
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_project_key = result.params.get("project_key", project_key)
final_summary = result.params.get("summary", summary)
final_issue_type = result.params.get("issue_type", issue_type)
final_description = result.params.get("description", description)
final_priority = result.params.get("priority", priority)
final_connector_id = result.params.get("connector_id", connector_id)
if not final_summary or not final_summary.strip():
return {"status": "error", "message": "Issue summary cannot be empty."}
if not final_project_key:
return {"status": "error", "message": "A project must be selected."}
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
actual_connector_id = final_connector_id
if actual_connector_id is None:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.JIRA_CONNECTOR,
)
async with async_session_maker() as db_session:
metadata_service = JiraToolMetadataService(db_session)
context = await metadata_service.get_creation_context(
search_space_id, user_id
)
connector = result.scalars().first()
if not connector:
return {"status": "error", "message": "No Jira connector found."}
actual_connector_id = connector.id
else:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == actual_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.JIRA_CONNECTOR,
)
if "error" in context:
return {"status": "error", "message": context["error"]}
accounts = context.get("accounts", [])
if accounts and all(a.get("auth_expired") for a in accounts):
return {
"status": "auth_error",
"message": "All connected Jira accounts need re-authentication.",
"connector_type": "jira",
}
result = request_approval(
action_type="jira_issue_creation",
tool_name="create_jira_issue",
params={
"project_key": project_key,
"summary": summary,
"issue_type": issue_type,
"description": description,
"priority": priority,
"connector_id": connector_id,
},
context=context,
)
connector = result.scalars().first()
if not connector:
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_project_key = result.params.get("project_key", project_key)
final_summary = result.params.get("summary", summary)
final_issue_type = result.params.get("issue_type", issue_type)
final_description = result.params.get("description", description)
final_priority = result.params.get("priority", priority)
final_connector_id = result.params.get("connector_id", connector_id)
if not final_summary or not final_summary.strip():
return {
"status": "error",
"message": "Selected Jira connector is invalid.",
"message": "Issue summary cannot be empty.",
}
if not final_project_key:
return {"status": "error", "message": "A project must be selected."}
try:
jira_history = JiraHistoryConnector(
session=db_session, connector_id=actual_connector_id
)
jira_client = await jira_history._get_jira_client()
api_result = await asyncio.to_thread(
jira_client.create_issue,
project_key=final_project_key,
summary=final_summary,
issue_type=final_issue_type,
description=final_description,
priority=final_priority,
)
except Exception as api_err:
if "status code 403" in str(api_err).lower():
try:
_conn = connector
_conn.config = {**_conn.config, "auth_expired": True}
flag_modified(_conn, "config")
await db_session.commit()
except Exception:
pass
return {
"status": "insufficient_permissions",
"connector_id": actual_connector_id,
"message": "This Jira account needs additional permissions. Please re-authenticate in connector settings.",
}
raise
from sqlalchemy.future import select
issue_key = api_result.get("key", "")
issue_url = (
f"{jira_history._base_url}/browse/{issue_key}"
if jira_history._base_url and issue_key
else ""
)
from app.db import SearchSourceConnector, SearchSourceConnectorType
kb_message_suffix = ""
try:
from app.services.jira import JiraKBSyncService
kb_service = JiraKBSyncService(db_session)
kb_result = await kb_service.sync_after_create(
issue_id=issue_key,
issue_identifier=issue_key,
issue_title=final_summary,
description=final_description,
state="To Do",
connector_id=actual_connector_id,
search_space_id=search_space_id,
user_id=user_id,
)
if kb_result["status"] == "success":
kb_message_suffix = " Your knowledge base has also been updated."
actual_connector_id = final_connector_id
if actual_connector_id is None:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.JIRA_CONNECTOR,
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "No Jira connector found.",
}
actual_connector_id = connector.id
else:
kb_message_suffix = " This issue will be added to your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after create failed: {kb_err}")
kb_message_suffix = " This issue will be added to your knowledge base in the next scheduled sync."
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == actual_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.JIRA_CONNECTOR,
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Jira connector is invalid.",
}
return {
"status": "success",
"issue_key": issue_key,
"issue_url": issue_url,
"message": f"Jira issue {issue_key} created successfully.{kb_message_suffix}",
}
try:
jira_history = JiraHistoryConnector(
session=db_session, connector_id=actual_connector_id
)
jira_client = await jira_history._get_jira_client()
api_result = await asyncio.to_thread(
jira_client.create_issue,
project_key=final_project_key,
summary=final_summary,
issue_type=final_issue_type,
description=final_description,
priority=final_priority,
)
except Exception as api_err:
if "status code 403" in str(api_err).lower():
try:
_conn = connector
_conn.config = {**_conn.config, "auth_expired": True}
flag_modified(_conn, "config")
await db_session.commit()
except Exception:
pass
return {
"status": "insufficient_permissions",
"connector_id": actual_connector_id,
"message": "This Jira account needs additional permissions. Please re-authenticate in connector settings.",
}
raise
issue_key = api_result.get("key", "")
issue_url = (
f"{jira_history._base_url}/browse/{issue_key}"
if jira_history._base_url and issue_key
else ""
)
kb_message_suffix = ""
try:
from app.services.jira import JiraKBSyncService
kb_service = JiraKBSyncService(db_session)
kb_result = await kb_service.sync_after_create(
issue_id=issue_key,
issue_identifier=issue_key,
issue_title=final_summary,
description=final_description,
state="To Do",
connector_id=actual_connector_id,
search_space_id=search_space_id,
user_id=user_id,
)
if kb_result["status"] == "success":
kb_message_suffix = (
" Your knowledge base has also been updated."
)
else:
kb_message_suffix = " This issue will be added to your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after create failed: {kb_err}")
kb_message_suffix = " This issue will be added to your knowledge base in the next scheduled sync."
return {
"status": "success",
"issue_key": issue_key,
"issue_url": issue_url,
"message": f"Jira issue {issue_key} created successfully.{kb_message_suffix}",
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -8,6 +8,7 @@ from sqlalchemy.orm.attributes import flag_modified
from app.agents.new_chat.tools.hitl import request_approval
from app.connectors.jira_history import JiraHistoryConnector
from app.db import async_session_maker
from app.services.jira import JiraToolMetadataService
logger = logging.getLogger(__name__)
@ -19,6 +20,26 @@ def create_delete_jira_issue_tool(
user_id: str | None = None,
connector_id: int | None = None,
):
"""Factory function to create the delete_jira_issue tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker`. This is critical for the compiled-agent
cache: the compiled graph (and therefore this closure) is reused
across HTTP requests, so capturing a per-request session here would
surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
search_space_id: Search space ID to find the Jira connector
user_id: User ID for fetching user-specific context
connector_id: Optional specific connector ID (if known)
Returns:
Configured delete_jira_issue tool
"""
del db_session # per-call session — see docstring
@tool
async def delete_jira_issue(
issue_title_or_key: str,
@ -44,130 +65,136 @@ def create_delete_jira_issue_tool(
f"delete_jira_issue called: issue_title_or_key='{issue_title_or_key}'"
)
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {"status": "error", "message": "Jira tool not properly configured."}
try:
metadata_service = JiraToolMetadataService(db_session)
context = await metadata_service.get_deletion_context(
search_space_id, user_id, issue_title_or_key
)
if "error" in context:
error_msg = context["error"]
if context.get("auth_expired"):
return {
"status": "auth_error",
"message": error_msg,
"connector_id": context.get("connector_id"),
"connector_type": "jira",
}
if "not found" in error_msg.lower():
return {"status": "not_found", "message": error_msg}
return {"status": "error", "message": error_msg}
issue_data = context["issue"]
issue_key = issue_data["issue_id"]
document_id = issue_data["document_id"]
connector_id_from_context = context.get("account", {}).get("id")
result = request_approval(
action_type="jira_issue_deletion",
tool_name="delete_jira_issue",
params={
"issue_key": issue_key,
"connector_id": connector_id_from_context,
"delete_from_kb": delete_from_kb,
},
context=context,
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_issue_key = result.params.get("issue_key", issue_key)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
final_delete_from_kb = result.params.get("delete_from_kb", delete_from_kb)
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
if not final_connector_id:
return {
"status": "error",
"message": "No connector found for this issue.",
}
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.JIRA_CONNECTOR,
async with async_session_maker() as db_session:
metadata_service = JiraToolMetadataService(db_session)
context = await metadata_service.get_deletion_context(
search_space_id, user_id, issue_title_or_key
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Jira connector is invalid.",
}
try:
jira_history = JiraHistoryConnector(
session=db_session, connector_id=final_connector_id
if "error" in context:
error_msg = context["error"]
if context.get("auth_expired"):
return {
"status": "auth_error",
"message": error_msg,
"connector_id": context.get("connector_id"),
"connector_type": "jira",
}
if "not found" in error_msg.lower():
return {"status": "not_found", "message": error_msg}
return {"status": "error", "message": error_msg}
issue_data = context["issue"]
issue_key = issue_data["issue_id"]
document_id = issue_data["document_id"]
connector_id_from_context = context.get("account", {}).get("id")
result = request_approval(
action_type="jira_issue_deletion",
tool_name="delete_jira_issue",
params={
"issue_key": issue_key,
"connector_id": connector_id_from_context,
"delete_from_kb": delete_from_kb,
},
context=context,
)
jira_client = await jira_history._get_jira_client()
await asyncio.to_thread(jira_client.delete_issue, final_issue_key)
except Exception as api_err:
if "status code 403" in str(api_err).lower():
try:
connector.config = {**connector.config, "auth_expired": True}
flag_modified(connector, "config")
await db_session.commit()
except Exception:
pass
if result.rejected:
return {
"status": "insufficient_permissions",
"connector_id": final_connector_id,
"message": "This Jira account needs additional permissions. Please re-authenticate in connector settings.",
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
raise
deleted_from_kb = False
if final_delete_from_kb and document_id:
try:
from app.db import Document
final_issue_key = result.params.get("issue_key", issue_key)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
final_delete_from_kb = result.params.get(
"delete_from_kb", delete_from_kb
)
doc_result = await db_session.execute(
select(Document).filter(Document.id == document_id)
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
if not final_connector_id:
return {
"status": "error",
"message": "No connector found for this issue.",
}
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.JIRA_CONNECTOR,
)
document = doc_result.scalars().first()
if document:
await db_session.delete(document)
await db_session.commit()
deleted_from_kb = True
except Exception as e:
logger.error(f"Failed to delete document from KB: {e}")
await db_session.rollback()
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Jira connector is invalid.",
}
message = f"Jira issue {final_issue_key} deleted successfully."
if deleted_from_kb:
message += " Also removed from the knowledge base."
try:
jira_history = JiraHistoryConnector(
session=db_session, connector_id=final_connector_id
)
jira_client = await jira_history._get_jira_client()
await asyncio.to_thread(jira_client.delete_issue, final_issue_key)
except Exception as api_err:
if "status code 403" in str(api_err).lower():
try:
connector.config = {
**connector.config,
"auth_expired": True,
}
flag_modified(connector, "config")
await db_session.commit()
except Exception:
pass
return {
"status": "insufficient_permissions",
"connector_id": final_connector_id,
"message": "This Jira account needs additional permissions. Please re-authenticate in connector settings.",
}
raise
return {
"status": "success",
"issue_key": final_issue_key,
"deleted_from_kb": deleted_from_kb,
"message": message,
}
deleted_from_kb = False
if final_delete_from_kb and document_id:
try:
from app.db import Document
doc_result = await db_session.execute(
select(Document).filter(Document.id == document_id)
)
document = doc_result.scalars().first()
if document:
await db_session.delete(document)
await db_session.commit()
deleted_from_kb = True
except Exception as e:
logger.error(f"Failed to delete document from KB: {e}")
await db_session.rollback()
message = f"Jira issue {final_issue_key} deleted successfully."
if deleted_from_kb:
message += " Also removed from the knowledge base."
return {
"status": "success",
"issue_key": final_issue_key,
"deleted_from_kb": deleted_from_kb,
"message": message,
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -8,6 +8,7 @@ from sqlalchemy.orm.attributes import flag_modified
from app.agents.new_chat.tools.hitl import request_approval
from app.connectors.jira_history import JiraHistoryConnector
from app.db import async_session_maker
from app.services.jira import JiraToolMetadataService
logger = logging.getLogger(__name__)
@ -19,6 +20,26 @@ def create_update_jira_issue_tool(
user_id: str | None = None,
connector_id: int | None = None,
):
"""Factory function to create the update_jira_issue tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker`. This is critical for the compiled-agent
cache: the compiled graph (and therefore this closure) is reused
across HTTP requests, so capturing a per-request session here would
surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
search_space_id: Search space ID to find the Jira connector
user_id: User ID for fetching user-specific context
connector_id: Optional specific connector ID (if known)
Returns:
Configured update_jira_issue tool
"""
del db_session # per-call session — see docstring
@tool
async def update_jira_issue(
issue_title_or_key: str,
@ -48,169 +69,177 @@ def create_update_jira_issue_tool(
f"update_jira_issue called: issue_title_or_key='{issue_title_or_key}'"
)
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {"status": "error", "message": "Jira tool not properly configured."}
try:
metadata_service = JiraToolMetadataService(db_session)
context = await metadata_service.get_update_context(
search_space_id, user_id, issue_title_or_key
)
if "error" in context:
error_msg = context["error"]
if context.get("auth_expired"):
return {
"status": "auth_error",
"message": error_msg,
"connector_id": context.get("connector_id"),
"connector_type": "jira",
}
if "not found" in error_msg.lower():
return {"status": "not_found", "message": error_msg}
return {"status": "error", "message": error_msg}
issue_data = context["issue"]
issue_key = issue_data["issue_id"]
document_id = issue_data.get("document_id")
connector_id_from_context = context.get("account", {}).get("id")
result = request_approval(
action_type="jira_issue_update",
tool_name="update_jira_issue",
params={
"issue_key": issue_key,
"document_id": document_id,
"new_summary": new_summary,
"new_description": new_description,
"new_priority": new_priority,
"connector_id": connector_id_from_context,
},
context=context,
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_issue_key = result.params.get("issue_key", issue_key)
final_summary = result.params.get("new_summary", new_summary)
final_description = result.params.get("new_description", new_description)
final_priority = result.params.get("new_priority", new_priority)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
final_document_id = result.params.get("document_id", document_id)
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
if not final_connector_id:
return {
"status": "error",
"message": "No connector found for this issue.",
}
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.JIRA_CONNECTOR,
async with async_session_maker() as db_session:
metadata_service = JiraToolMetadataService(db_session)
context = await metadata_service.get_update_context(
search_space_id, user_id, issue_title_or_key
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Jira connector is invalid.",
}
fields: dict[str, Any] = {}
if final_summary:
fields["summary"] = final_summary
if final_description is not None:
fields["description"] = {
"type": "doc",
"version": 1,
"content": [
{
"type": "paragraph",
"content": [{"type": "text", "text": final_description}],
if "error" in context:
error_msg = context["error"]
if context.get("auth_expired"):
return {
"status": "auth_error",
"message": error_msg,
"connector_id": context.get("connector_id"),
"connector_type": "jira",
}
],
}
if final_priority:
fields["priority"] = {"name": final_priority}
if "not found" in error_msg.lower():
return {"status": "not_found", "message": error_msg}
return {"status": "error", "message": error_msg}
if not fields:
return {"status": "error", "message": "No changes specified."}
issue_data = context["issue"]
issue_key = issue_data["issue_id"]
document_id = issue_data.get("document_id")
connector_id_from_context = context.get("account", {}).get("id")
try:
jira_history = JiraHistoryConnector(
session=db_session, connector_id=final_connector_id
result = request_approval(
action_type="jira_issue_update",
tool_name="update_jira_issue",
params={
"issue_key": issue_key,
"document_id": document_id,
"new_summary": new_summary,
"new_description": new_description,
"new_priority": new_priority,
"connector_id": connector_id_from_context,
},
context=context,
)
jira_client = await jira_history._get_jira_client()
await asyncio.to_thread(
jira_client.update_issue, final_issue_key, fields
)
except Exception as api_err:
if "status code 403" in str(api_err).lower():
try:
connector.config = {**connector.config, "auth_expired": True}
flag_modified(connector, "config")
await db_session.commit()
except Exception:
pass
if result.rejected:
return {
"status": "insufficient_permissions",
"connector_id": final_connector_id,
"message": "This Jira account needs additional permissions. Please re-authenticate in connector settings.",
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
raise
issue_url = (
f"{jira_history._base_url}/browse/{final_issue_key}"
if jira_history._base_url and final_issue_key
else ""
)
final_issue_key = result.params.get("issue_key", issue_key)
final_summary = result.params.get("new_summary", new_summary)
final_description = result.params.get(
"new_description", new_description
)
final_priority = result.params.get("new_priority", new_priority)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
final_document_id = result.params.get("document_id", document_id)
kb_message_suffix = ""
if final_document_id:
try:
from app.services.jira import JiraKBSyncService
from sqlalchemy.future import select
kb_service = JiraKBSyncService(db_session)
kb_result = await kb_service.sync_after_update(
document_id=final_document_id,
issue_id=final_issue_key,
user_id=user_id,
search_space_id=search_space_id,
from app.db import SearchSourceConnector, SearchSourceConnectorType
if not final_connector_id:
return {
"status": "error",
"message": "No connector found for this issue.",
}
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.JIRA_CONNECTOR,
)
if kb_result["status"] == "success":
kb_message_suffix = (
" Your knowledge base has also been updated."
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Jira connector is invalid.",
}
fields: dict[str, Any] = {}
if final_summary:
fields["summary"] = final_summary
if final_description is not None:
fields["description"] = {
"type": "doc",
"version": 1,
"content": [
{
"type": "paragraph",
"content": [
{"type": "text", "text": final_description}
],
}
],
}
if final_priority:
fields["priority"] = {"name": final_priority}
if not fields:
return {"status": "error", "message": "No changes specified."}
try:
jira_history = JiraHistoryConnector(
session=db_session, connector_id=final_connector_id
)
jira_client = await jira_history._get_jira_client()
await asyncio.to_thread(
jira_client.update_issue, final_issue_key, fields
)
except Exception as api_err:
if "status code 403" in str(api_err).lower():
try:
connector.config = {
**connector.config,
"auth_expired": True,
}
flag_modified(connector, "config")
await db_session.commit()
except Exception:
pass
return {
"status": "insufficient_permissions",
"connector_id": final_connector_id,
"message": "This Jira account needs additional permissions. Please re-authenticate in connector settings.",
}
raise
issue_url = (
f"{jira_history._base_url}/browse/{final_issue_key}"
if jira_history._base_url and final_issue_key
else ""
)
kb_message_suffix = ""
if final_document_id:
try:
from app.services.jira import JiraKBSyncService
kb_service = JiraKBSyncService(db_session)
kb_result = await kb_service.sync_after_update(
document_id=final_document_id,
issue_id=final_issue_key,
user_id=user_id,
search_space_id=search_space_id,
)
else:
if kb_result["status"] == "success":
kb_message_suffix = (
" Your knowledge base has also been updated."
)
else:
kb_message_suffix = (
" The knowledge base will be updated in the next sync."
)
except Exception as kb_err:
logger.warning(f"KB sync after update failed: {kb_err}")
kb_message_suffix = (
" The knowledge base will be updated in the next sync."
)
except Exception as kb_err:
logger.warning(f"KB sync after update failed: {kb_err}")
kb_message_suffix = (
" The knowledge base will be updated in the next sync."
)
return {
"status": "success",
"issue_key": final_issue_key,
"issue_url": issue_url,
"message": f"Jira issue {final_issue_key} updated successfully.{kb_message_suffix}",
}
return {
"status": "success",
"issue_key": final_issue_key,
"issue_url": issue_url,
"message": f"Jira issue {final_issue_key} updated successfully.{kb_message_suffix}",
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -6,6 +6,7 @@ from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.tools.hitl import request_approval
from app.connectors.linear_connector import LinearAPIError, LinearConnector
from app.db import async_session_maker
from app.services.linear import LinearToolMetadataService
logger = logging.getLogger(__name__)
@ -17,11 +18,17 @@ def create_create_linear_issue_tool(
user_id: str | None = None,
connector_id: int | None = None,
):
"""
Factory function to create the create_linear_issue tool.
"""Factory function to create the create_linear_issue tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker`. This is critical for the compiled-agent
cache: the compiled graph (and therefore this closure) is reused
across HTTP requests, so capturing a per-request session here would
surface stale/closed sessions on cache hits.
Args:
db_session: Database session for accessing the Linear connector
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
search_space_id: Search space ID to find the Linear connector
user_id: User ID for fetching user-specific context
connector_id: Optional specific connector ID (if known)
@ -29,6 +36,7 @@ def create_create_linear_issue_tool(
Returns:
Configured create_linear_issue tool
"""
del db_session # per-call session — see docstring
@tool
async def create_linear_issue(
@ -65,7 +73,7 @@ def create_create_linear_issue_tool(
"""
logger.info(f"create_linear_issue called: title='{title}'")
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
logger.error(
"Linear tool not properly configured - missing required parameters"
)
@ -75,160 +83,170 @@ def create_create_linear_issue_tool(
}
try:
metadata_service = LinearToolMetadataService(db_session)
context = await metadata_service.get_creation_context(
search_space_id, user_id
)
if "error" in context:
logger.error(f"Failed to fetch creation context: {context['error']}")
return {"status": "error", "message": context["error"]}
workspaces = context.get("workspaces", [])
if workspaces and all(w.get("auth_expired") for w in workspaces):
logger.warning("All Linear accounts have expired authentication")
return {
"status": "auth_error",
"message": "All connected Linear accounts need re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "linear",
}
logger.info(f"Requesting approval for creating Linear issue: '{title}'")
result = request_approval(
action_type="linear_issue_creation",
tool_name="create_linear_issue",
params={
"title": title,
"description": description,
"team_id": None,
"state_id": None,
"assignee_id": None,
"priority": None,
"label_ids": [],
"connector_id": connector_id,
},
context=context,
)
if result.rejected:
logger.info("Linear issue creation rejected by user")
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_title = result.params.get("title", title)
final_description = result.params.get("description", description)
final_team_id = result.params.get("team_id")
final_state_id = result.params.get("state_id")
final_assignee_id = result.params.get("assignee_id")
final_priority = result.params.get("priority")
final_label_ids = result.params.get("label_ids") or []
final_connector_id = result.params.get("connector_id", connector_id)
if not final_title or not final_title.strip():
logger.error("Title is empty or contains only whitespace")
return {"status": "error", "message": "Issue title cannot be empty."}
if not final_team_id:
return {
"status": "error",
"message": "A team must be selected to create an issue.",
}
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
actual_connector_id = final_connector_id
if actual_connector_id is None:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.LINEAR_CONNECTOR,
)
async with async_session_maker() as db_session:
metadata_service = LinearToolMetadataService(db_session)
context = await metadata_service.get_creation_context(
search_space_id, user_id
)
connector = result.scalars().first()
if not connector:
if "error" in context:
logger.error(
f"Failed to fetch creation context: {context['error']}"
)
return {"status": "error", "message": context["error"]}
workspaces = context.get("workspaces", [])
if workspaces and all(w.get("auth_expired") for w in workspaces):
logger.warning("All Linear accounts have expired authentication")
return {
"status": "auth_error",
"message": "All connected Linear accounts need re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "linear",
}
logger.info(f"Requesting approval for creating Linear issue: '{title}'")
result = request_approval(
action_type="linear_issue_creation",
tool_name="create_linear_issue",
params={
"title": title,
"description": description,
"team_id": None,
"state_id": None,
"assignee_id": None,
"priority": None,
"label_ids": [],
"connector_id": connector_id,
},
context=context,
)
if result.rejected:
logger.info("Linear issue creation rejected by user")
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_title = result.params.get("title", title)
final_description = result.params.get("description", description)
final_team_id = result.params.get("team_id")
final_state_id = result.params.get("state_id")
final_assignee_id = result.params.get("assignee_id")
final_priority = result.params.get("priority")
final_label_ids = result.params.get("label_ids") or []
final_connector_id = result.params.get("connector_id", connector_id)
if not final_title or not final_title.strip():
logger.error("Title is empty or contains only whitespace")
return {
"status": "error",
"message": "No Linear connector found. Please connect Linear in your workspace settings.",
"message": "Issue title cannot be empty.",
}
actual_connector_id = connector.id
logger.info(f"Found Linear connector: id={actual_connector_id}")
else:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == actual_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.LINEAR_CONNECTOR,
)
)
connector = result.scalars().first()
if not connector:
if not final_team_id:
return {
"status": "error",
"message": "Selected Linear connector is invalid or has been disconnected.",
"message": "A team must be selected to create an issue.",
}
logger.info(f"Validated Linear connector: id={actual_connector_id}")
logger.info(
f"Creating Linear issue with final params: title='{final_title}'"
)
linear_client = LinearConnector(
session=db_session, connector_id=actual_connector_id
)
result = await linear_client.create_issue(
team_id=final_team_id,
title=final_title,
description=final_description,
state_id=final_state_id,
assignee_id=final_assignee_id,
priority=final_priority,
label_ids=final_label_ids if final_label_ids else None,
)
from sqlalchemy.future import select
if result.get("status") == "error":
logger.error(f"Failed to create Linear issue: {result.get('message')}")
return {"status": "error", "message": result.get("message")}
from app.db import SearchSourceConnector, SearchSourceConnectorType
logger.info(
f"Linear issue created: {result.get('identifier')} - {result.get('title')}"
)
kb_message_suffix = ""
try:
from app.services.linear import LinearKBSyncService
kb_service = LinearKBSyncService(db_session)
kb_result = await kb_service.sync_after_create(
issue_id=result.get("id"),
issue_identifier=result.get("identifier", ""),
issue_title=result.get("title", final_title),
issue_url=result.get("url"),
description=final_description,
connector_id=actual_connector_id,
search_space_id=search_space_id,
user_id=user_id,
)
if kb_result["status"] == "success":
kb_message_suffix = " Your knowledge base has also been updated."
actual_connector_id = final_connector_id
if actual_connector_id is None:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.LINEAR_CONNECTOR,
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "No Linear connector found. Please connect Linear in your workspace settings.",
}
actual_connector_id = connector.id
logger.info(f"Found Linear connector: id={actual_connector_id}")
else:
kb_message_suffix = " This issue will be added to your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after create failed: {kb_err}")
kb_message_suffix = " This issue will be added to your knowledge base in the next scheduled sync."
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == actual_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.LINEAR_CONNECTOR,
)
)
connector = result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected Linear connector is invalid or has been disconnected.",
}
logger.info(f"Validated Linear connector: id={actual_connector_id}")
return {
"status": "success",
"issue_id": result.get("id"),
"identifier": result.get("identifier"),
"url": result.get("url"),
"message": (result.get("message", "") + kb_message_suffix),
}
logger.info(
f"Creating Linear issue with final params: title='{final_title}'"
)
linear_client = LinearConnector(
session=db_session, connector_id=actual_connector_id
)
result = await linear_client.create_issue(
team_id=final_team_id,
title=final_title,
description=final_description,
state_id=final_state_id,
assignee_id=final_assignee_id,
priority=final_priority,
label_ids=final_label_ids if final_label_ids else None,
)
if result.get("status") == "error":
logger.error(
f"Failed to create Linear issue: {result.get('message')}"
)
return {"status": "error", "message": result.get("message")}
logger.info(
f"Linear issue created: {result.get('identifier')} - {result.get('title')}"
)
kb_message_suffix = ""
try:
from app.services.linear import LinearKBSyncService
kb_service = LinearKBSyncService(db_session)
kb_result = await kb_service.sync_after_create(
issue_id=result.get("id"),
issue_identifier=result.get("identifier", ""),
issue_title=result.get("title", final_title),
issue_url=result.get("url"),
description=final_description,
connector_id=actual_connector_id,
search_space_id=search_space_id,
user_id=user_id,
)
if kb_result["status"] == "success":
kb_message_suffix = (
" Your knowledge base has also been updated."
)
else:
kb_message_suffix = " This issue will be added to your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after create failed: {kb_err}")
kb_message_suffix = " This issue will be added to your knowledge base in the next scheduled sync."
return {
"status": "success",
"issue_id": result.get("id"),
"identifier": result.get("identifier"),
"url": result.get("url"),
"message": (result.get("message", "") + kb_message_suffix),
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -6,6 +6,7 @@ from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.tools.hitl import request_approval
from app.connectors.linear_connector import LinearAPIError, LinearConnector
from app.db import async_session_maker
from app.services.linear import LinearToolMetadataService
logger = logging.getLogger(__name__)
@ -17,11 +18,17 @@ def create_delete_linear_issue_tool(
user_id: str | None = None,
connector_id: int | None = None,
):
"""
Factory function to create the delete_linear_issue tool.
"""Factory function to create the delete_linear_issue tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker`. This is critical for the compiled-agent
cache: the compiled graph (and therefore this closure) is reused
across HTTP requests, so capturing a per-request session here would
surface stale/closed sessions on cache hits.
Args:
db_session: Database session for accessing the Linear connector
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
search_space_id: Search space ID to find the Linear connector
user_id: User ID for finding the correct Linear connector
connector_id: Optional specific connector ID (if known)
@ -29,6 +36,7 @@ def create_delete_linear_issue_tool(
Returns:
Configured delete_linear_issue tool
"""
del db_session # per-call session — see docstring
@tool
async def delete_linear_issue(
@ -73,7 +81,7 @@ def create_delete_linear_issue_tool(
f"delete_linear_issue called: issue_ref='{issue_ref}', delete_from_kb={delete_from_kb}"
)
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
logger.error(
"Linear tool not properly configured - missing required parameters"
)
@ -83,149 +91,152 @@ def create_delete_linear_issue_tool(
}
try:
metadata_service = LinearToolMetadataService(db_session)
context = await metadata_service.get_delete_context(
search_space_id, user_id, issue_ref
)
if "error" in context:
error_msg = context["error"]
if context.get("auth_expired"):
logger.warning(f"Auth expired for delete context: {error_msg}")
return {
"status": "auth_error",
"message": error_msg,
"connector_id": context.get("connector_id"),
"connector_type": "linear",
}
if "not found" in error_msg.lower():
logger.warning(f"Issue not found: {error_msg}")
return {"status": "not_found", "message": error_msg}
else:
logger.error(f"Failed to fetch delete context: {error_msg}")
return {"status": "error", "message": error_msg}
issue_id = context["issue"]["id"]
issue_identifier = context["issue"].get("identifier", "")
document_id = context["issue"]["document_id"]
connector_id_from_context = context.get("workspace", {}).get("id")
logger.info(
f"Requesting approval for deleting Linear issue: '{issue_ref}' "
f"(id={issue_id}, delete_from_kb={delete_from_kb})"
)
result = request_approval(
action_type="linear_issue_deletion",
tool_name="delete_linear_issue",
params={
"issue_id": issue_id,
"connector_id": connector_id_from_context,
"delete_from_kb": delete_from_kb,
},
context=context,
)
if result.rejected:
logger.info("Linear issue deletion rejected by user")
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_issue_id = result.params.get("issue_id", issue_id)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
final_delete_from_kb = result.params.get("delete_from_kb", delete_from_kb)
logger.info(
f"Deleting Linear issue with final params: issue_id={final_issue_id}, "
f"connector_id={final_connector_id}, delete_from_kb={final_delete_from_kb}"
)
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
if final_connector_id:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.LINEAR_CONNECTOR,
)
async with async_session_maker() as db_session:
metadata_service = LinearToolMetadataService(db_session)
context = await metadata_service.get_delete_context(
search_space_id, user_id, issue_ref
)
connector = result.scalars().first()
if not connector:
logger.error(
f"Invalid connector_id={final_connector_id} for search_space_id={search_space_id}"
if "error" in context:
error_msg = context["error"]
if context.get("auth_expired"):
logger.warning(f"Auth expired for delete context: {error_msg}")
return {
"status": "auth_error",
"message": error_msg,
"connector_id": context.get("connector_id"),
"connector_type": "linear",
}
if "not found" in error_msg.lower():
logger.warning(f"Issue not found: {error_msg}")
return {"status": "not_found", "message": error_msg}
else:
logger.error(f"Failed to fetch delete context: {error_msg}")
return {"status": "error", "message": error_msg}
issue_id = context["issue"]["id"]
issue_identifier = context["issue"].get("identifier", "")
document_id = context["issue"]["document_id"]
connector_id_from_context = context.get("workspace", {}).get("id")
logger.info(
f"Requesting approval for deleting Linear issue: '{issue_ref}' "
f"(id={issue_id}, delete_from_kb={delete_from_kb})"
)
result = request_approval(
action_type="linear_issue_deletion",
tool_name="delete_linear_issue",
params={
"issue_id": issue_id,
"connector_id": connector_id_from_context,
"delete_from_kb": delete_from_kb,
},
context=context,
)
if result.rejected:
logger.info("Linear issue deletion rejected by user")
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_issue_id = result.params.get("issue_id", issue_id)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
final_delete_from_kb = result.params.get(
"delete_from_kb", delete_from_kb
)
logger.info(
f"Deleting Linear issue with final params: issue_id={final_issue_id}, "
f"connector_id={final_connector_id}, delete_from_kb={final_delete_from_kb}"
)
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
if final_connector_id:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.LINEAR_CONNECTOR,
)
)
connector = result.scalars().first()
if not connector:
logger.error(
f"Invalid connector_id={final_connector_id} for search_space_id={search_space_id}"
)
return {
"status": "error",
"message": "Selected Linear connector is invalid or has been disconnected.",
}
actual_connector_id = connector.id
logger.info(f"Validated Linear connector: id={actual_connector_id}")
else:
logger.error("No connector found for this issue")
return {
"status": "error",
"message": "Selected Linear connector is invalid or has been disconnected.",
"message": "No connector found for this issue.",
}
actual_connector_id = connector.id
logger.info(f"Validated Linear connector: id={actual_connector_id}")
else:
logger.error("No connector found for this issue")
return {
"status": "error",
"message": "No connector found for this issue.",
}
linear_client = LinearConnector(
session=db_session, connector_id=actual_connector_id
)
linear_client = LinearConnector(
session=db_session, connector_id=actual_connector_id
)
result = await linear_client.archive_issue(issue_id=final_issue_id)
result = await linear_client.archive_issue(issue_id=final_issue_id)
logger.info(
f"archive_issue result: {result.get('status')} - {result.get('message', '')}"
)
logger.info(
f"archive_issue result: {result.get('status')} - {result.get('message', '')}"
)
deleted_from_kb = False
if (
result.get("status") == "success"
and final_delete_from_kb
and document_id
):
try:
from app.db import Document
deleted_from_kb = False
if (
result.get("status") == "success"
and final_delete_from_kb
and document_id
):
try:
from app.db import Document
doc_result = await db_session.execute(
select(Document).filter(Document.id == document_id)
)
document = doc_result.scalars().first()
if document:
await db_session.delete(document)
await db_session.commit()
deleted_from_kb = True
logger.info(
f"Deleted document {document_id} from knowledge base"
doc_result = await db_session.execute(
select(Document).filter(Document.id == document_id)
)
document = doc_result.scalars().first()
if document:
await db_session.delete(document)
await db_session.commit()
deleted_from_kb = True
logger.info(
f"Deleted document {document_id} from knowledge base"
)
else:
logger.warning(f"Document {document_id} not found in KB")
except Exception as e:
logger.error(f"Failed to delete document from KB: {e}")
await db_session.rollback()
result["warning"] = (
f"Issue archived in Linear, but failed to remove from knowledge base: {e!s}"
)
else:
logger.warning(f"Document {document_id} not found in KB")
except Exception as e:
logger.error(f"Failed to delete document from KB: {e}")
await db_session.rollback()
result["warning"] = (
f"Issue archived in Linear, but failed to remove from knowledge base: {e!s}"
)
if result.get("status") == "success":
result["deleted_from_kb"] = deleted_from_kb
if issue_identifier:
result["message"] = (
f"Issue {issue_identifier} archived successfully."
)
if deleted_from_kb:
result["message"] = (
f"{result.get('message', '')} Also removed from the knowledge base."
)
if result.get("status") == "success":
result["deleted_from_kb"] = deleted_from_kb
if issue_identifier:
result["message"] = (
f"Issue {issue_identifier} archived successfully."
)
if deleted_from_kb:
result["message"] = (
f"{result.get('message', '')} Also removed from the knowledge base."
)
return result
return result
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -6,6 +6,7 @@ from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.tools.hitl import request_approval
from app.connectors.linear_connector import LinearAPIError, LinearConnector
from app.db import async_session_maker
from app.services.linear import LinearKBSyncService, LinearToolMetadataService
logger = logging.getLogger(__name__)
@ -17,11 +18,17 @@ def create_update_linear_issue_tool(
user_id: str | None = None,
connector_id: int | None = None,
):
"""
Factory function to create the update_linear_issue tool.
"""Factory function to create the update_linear_issue tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker`. This is critical for the compiled-agent
cache: the compiled graph (and therefore this closure) is reused
across HTTP requests, so capturing a per-request session here would
surface stale/closed sessions on cache hits.
Args:
db_session: Database session for accessing the Linear connector
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
search_space_id: Search space ID to find the Linear connector
user_id: User ID for fetching user-specific context
connector_id: Optional specific connector ID (if known)
@ -29,6 +36,7 @@ def create_update_linear_issue_tool(
Returns:
Configured update_linear_issue tool
"""
del db_session # per-call session — see docstring
@tool
async def update_linear_issue(
@ -86,7 +94,7 @@ def create_update_linear_issue_tool(
"""
logger.info(f"update_linear_issue called: issue_ref='{issue_ref}'")
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
logger.error(
"Linear tool not properly configured - missing required parameters"
)
@ -96,176 +104,177 @@ def create_update_linear_issue_tool(
}
try:
metadata_service = LinearToolMetadataService(db_session)
context = await metadata_service.get_update_context(
search_space_id, user_id, issue_ref
)
if "error" in context:
error_msg = context["error"]
if context.get("auth_expired"):
logger.warning(f"Auth expired for update context: {error_msg}")
return {
"status": "auth_error",
"message": error_msg,
"connector_id": context.get("connector_id"),
"connector_type": "linear",
}
if "not found" in error_msg.lower():
logger.warning(f"Issue not found: {error_msg}")
return {"status": "not_found", "message": error_msg}
else:
logger.error(f"Failed to fetch update context: {error_msg}")
return {"status": "error", "message": error_msg}
issue_id = context["issue"]["id"]
document_id = context["issue"]["document_id"]
connector_id_from_context = context.get("workspace", {}).get("id")
team = context.get("team", {})
new_state_id = _resolve_state(team, new_state_name)
new_assignee_id = _resolve_assignee(team, new_assignee_email)
new_label_ids = _resolve_labels(team, new_label_names)
logger.info(
f"Requesting approval for updating Linear issue: '{issue_ref}' (id={issue_id})"
)
result = request_approval(
action_type="linear_issue_update",
tool_name="update_linear_issue",
params={
"issue_id": issue_id,
"document_id": document_id,
"new_title": new_title,
"new_description": new_description,
"new_state_id": new_state_id,
"new_assignee_id": new_assignee_id,
"new_priority": new_priority,
"new_label_ids": new_label_ids,
"connector_id": connector_id_from_context,
},
context=context,
)
if result.rejected:
logger.info("Linear issue update rejected by user")
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_issue_id = result.params.get("issue_id", issue_id)
final_document_id = result.params.get("document_id", document_id)
final_new_title = result.params.get("new_title", new_title)
final_new_description = result.params.get(
"new_description", new_description
)
final_new_state_id = result.params.get("new_state_id", new_state_id)
final_new_assignee_id = result.params.get(
"new_assignee_id", new_assignee_id
)
final_new_priority = result.params.get("new_priority", new_priority)
final_new_label_ids: list[str] | None = result.params.get(
"new_label_ids", new_label_ids
)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
if not final_connector_id:
logger.error("No connector found for this issue")
return {
"status": "error",
"message": "No connector found for this issue.",
}
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.LINEAR_CONNECTOR,
async with async_session_maker() as db_session:
metadata_service = LinearToolMetadataService(db_session)
context = await metadata_service.get_update_context(
search_space_id, user_id, issue_ref
)
)
connector = result.scalars().first()
if not connector:
logger.error(
f"Invalid connector_id={final_connector_id} for search_space_id={search_space_id}"
)
return {
"status": "error",
"message": "Selected Linear connector is invalid or has been disconnected.",
}
logger.info(f"Validated Linear connector: id={final_connector_id}")
logger.info(
f"Updating Linear issue with final params: issue_id={final_issue_id}"
)
linear_client = LinearConnector(
session=db_session, connector_id=final_connector_id
)
updated_issue = await linear_client.update_issue(
issue_id=final_issue_id,
title=final_new_title,
description=final_new_description,
state_id=final_new_state_id,
assignee_id=final_new_assignee_id,
priority=final_new_priority,
label_ids=final_new_label_ids,
)
if "error" in context:
error_msg = context["error"]
if context.get("auth_expired"):
logger.warning(f"Auth expired for update context: {error_msg}")
return {
"status": "auth_error",
"message": error_msg,
"connector_id": context.get("connector_id"),
"connector_type": "linear",
}
if "not found" in error_msg.lower():
logger.warning(f"Issue not found: {error_msg}")
return {"status": "not_found", "message": error_msg}
else:
logger.error(f"Failed to fetch update context: {error_msg}")
return {"status": "error", "message": error_msg}
if updated_issue.get("status") == "error":
logger.error(
f"Failed to update Linear issue: {updated_issue.get('message')}"
)
return {
"status": "error",
"message": updated_issue.get("message"),
}
issue_id = context["issue"]["id"]
document_id = context["issue"]["document_id"]
connector_id_from_context = context.get("workspace", {}).get("id")
logger.info(
f"update_issue result: {updated_issue.get('identifier')} - {updated_issue.get('title')}"
)
team = context.get("team", {})
new_state_id = _resolve_state(team, new_state_name)
new_assignee_id = _resolve_assignee(team, new_assignee_email)
new_label_ids = _resolve_labels(team, new_label_names)
if final_document_id is not None:
logger.info(
f"Updating knowledge base for document {final_document_id}..."
f"Requesting approval for updating Linear issue: '{issue_ref}' (id={issue_id})"
)
kb_service = LinearKBSyncService(db_session)
kb_result = await kb_service.sync_after_update(
document_id=final_document_id,
issue_id=final_issue_id,
user_id=user_id,
search_space_id=search_space_id,
result = request_approval(
action_type="linear_issue_update",
tool_name="update_linear_issue",
params={
"issue_id": issue_id,
"document_id": document_id,
"new_title": new_title,
"new_description": new_description,
"new_state_id": new_state_id,
"new_assignee_id": new_assignee_id,
"new_priority": new_priority,
"new_label_ids": new_label_ids,
"connector_id": connector_id_from_context,
},
context=context,
)
if kb_result["status"] == "success":
logger.info(
f"Knowledge base successfully updated for issue {final_issue_id}"
)
kb_message = " Your knowledge base has also been updated."
elif kb_result["status"] == "not_indexed":
kb_message = " This issue will be added to your knowledge base in the next scheduled sync."
else:
logger.warning(
f"KB update failed for issue {final_issue_id}: {kb_result.get('message')}"
)
kb_message = " Your knowledge base will be updated in the next scheduled sync."
else:
kb_message = ""
identifier = updated_issue.get("identifier")
default_msg = f"Issue {identifier} updated successfully."
return {
"status": "success",
"identifier": identifier,
"url": updated_issue.get("url"),
"message": f"{updated_issue.get('message', default_msg)}{kb_message}",
}
if result.rejected:
logger.info("Linear issue update rejected by user")
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_issue_id = result.params.get("issue_id", issue_id)
final_document_id = result.params.get("document_id", document_id)
final_new_title = result.params.get("new_title", new_title)
final_new_description = result.params.get(
"new_description", new_description
)
final_new_state_id = result.params.get("new_state_id", new_state_id)
final_new_assignee_id = result.params.get(
"new_assignee_id", new_assignee_id
)
final_new_priority = result.params.get("new_priority", new_priority)
final_new_label_ids: list[str] | None = result.params.get(
"new_label_ids", new_label_ids
)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
if not final_connector_id:
logger.error("No connector found for this issue")
return {
"status": "error",
"message": "No connector found for this issue.",
}
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.LINEAR_CONNECTOR,
)
)
connector = result.scalars().first()
if not connector:
logger.error(
f"Invalid connector_id={final_connector_id} for search_space_id={search_space_id}"
)
return {
"status": "error",
"message": "Selected Linear connector is invalid or has been disconnected.",
}
logger.info(f"Validated Linear connector: id={final_connector_id}")
logger.info(
f"Updating Linear issue with final params: issue_id={final_issue_id}"
)
linear_client = LinearConnector(
session=db_session, connector_id=final_connector_id
)
updated_issue = await linear_client.update_issue(
issue_id=final_issue_id,
title=final_new_title,
description=final_new_description,
state_id=final_new_state_id,
assignee_id=final_new_assignee_id,
priority=final_new_priority,
label_ids=final_new_label_ids,
)
if updated_issue.get("status") == "error":
logger.error(
f"Failed to update Linear issue: {updated_issue.get('message')}"
)
return {
"status": "error",
"message": updated_issue.get("message"),
}
logger.info(
f"update_issue result: {updated_issue.get('identifier')} - {updated_issue.get('title')}"
)
if final_document_id is not None:
logger.info(
f"Updating knowledge base for document {final_document_id}..."
)
kb_service = LinearKBSyncService(db_session)
kb_result = await kb_service.sync_after_update(
document_id=final_document_id,
issue_id=final_issue_id,
user_id=user_id,
search_space_id=search_space_id,
)
if kb_result["status"] == "success":
logger.info(
f"Knowledge base successfully updated for issue {final_issue_id}"
)
kb_message = " Your knowledge base has also been updated."
elif kb_result["status"] == "not_indexed":
kb_message = " This issue will be added to your knowledge base in the next scheduled sync."
else:
logger.warning(
f"KB update failed for issue {final_issue_id}: {kb_result.get('message')}"
)
kb_message = " Your knowledge base will be updated in the next scheduled sync."
else:
kb_message = ""
identifier = updated_issue.get("identifier")
default_msg = f"Issue {identifier} updated successfully."
return {
"status": "success",
"identifier": identifier,
"url": updated_issue.get("url"),
"message": f"{updated_issue.get('message', default_msg)}{kb_message}",
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -6,6 +6,7 @@ from langchain_core.tools import tool
from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.tools.hitl import request_approval
from app.db import async_session_maker
from ._auth import LUMA_API, get_api_key, get_luma_connector, luma_headers
@ -17,6 +18,23 @@ def create_create_luma_event_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the create_luma_event tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured create_luma_event tool
"""
del db_session # per-call session — see docstring
@tool
async def create_luma_event(
name: str,
@ -40,83 +58,86 @@ def create_create_luma_event_tool(
IMPORTANT:
- If status is "rejected", the user explicitly declined. Do NOT retry.
"""
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {"status": "error", "message": "Luma tool not properly configured."}
try:
connector = await get_luma_connector(db_session, search_space_id, user_id)
if not connector:
return {"status": "error", "message": "No Luma connector found."}
async with async_session_maker() as db_session:
connector = await get_luma_connector(
db_session, search_space_id, user_id
)
if not connector:
return {"status": "error", "message": "No Luma connector found."}
result = request_approval(
action_type="luma_create_event",
tool_name="create_luma_event",
params={
"name": name,
"start_at": start_at,
"end_at": end_at,
"description": description,
"timezone": timezone,
},
context={"connector_id": connector.id},
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Event was not created.",
}
final_name = result.params.get("name", name)
final_start = result.params.get("start_at", start_at)
final_end = result.params.get("end_at", end_at)
final_desc = result.params.get("description", description)
final_tz = result.params.get("timezone", timezone)
api_key = get_api_key(connector)
headers = luma_headers(api_key)
body: dict[str, Any] = {
"name": final_name,
"start_at": final_start,
"end_at": final_end,
"timezone": final_tz,
}
if final_desc:
body["description_md"] = final_desc
async with httpx.AsyncClient(timeout=20.0) as client:
resp = await client.post(
f"{LUMA_API}/event/create",
headers=headers,
json=body,
result = request_approval(
action_type="luma_create_event",
tool_name="create_luma_event",
params={
"name": name,
"start_at": start_at,
"end_at": end_at,
"description": description,
"timezone": timezone,
},
context={"connector_id": connector.id},
)
if resp.status_code == 401:
return {
"status": "auth_error",
"message": "Luma API key is invalid.",
"connector_type": "luma",
}
if resp.status_code == 403:
return {
"status": "error",
"message": "Luma Plus subscription required to create events via API.",
}
if resp.status_code not in (200, 201):
return {
"status": "error",
"message": f"Luma API error: {resp.status_code}{resp.text[:200]}",
}
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Event was not created.",
}
data = resp.json()
event_id = data.get("api_id") or data.get("event", {}).get("api_id")
final_name = result.params.get("name", name)
final_start = result.params.get("start_at", start_at)
final_end = result.params.get("end_at", end_at)
final_desc = result.params.get("description", description)
final_tz = result.params.get("timezone", timezone)
return {
"status": "success",
"event_id": event_id,
"message": f"Event '{final_name}' created on Luma.",
}
api_key = get_api_key(connector)
headers = luma_headers(api_key)
body: dict[str, Any] = {
"name": final_name,
"start_at": final_start,
"end_at": final_end,
"timezone": final_tz,
}
if final_desc:
body["description_md"] = final_desc
async with httpx.AsyncClient(timeout=20.0) as client:
resp = await client.post(
f"{LUMA_API}/event/create",
headers=headers,
json=body,
)
if resp.status_code == 401:
return {
"status": "auth_error",
"message": "Luma API key is invalid.",
"connector_type": "luma",
}
if resp.status_code == 403:
return {
"status": "error",
"message": "Luma Plus subscription required to create events via API.",
}
if resp.status_code not in (200, 201):
return {
"status": "error",
"message": f"Luma API error: {resp.status_code}{resp.text[:200]}",
}
data = resp.json()
event_id = data.get("api_id") or data.get("event", {}).get("api_id")
return {
"status": "success",
"event_id": event_id,
"message": f"Event '{final_name}' created on Luma.",
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -5,6 +5,8 @@ import httpx
from langchain_core.tools import tool
from sqlalchemy.ext.asyncio import AsyncSession
from app.db import async_session_maker
from ._auth import LUMA_API, get_api_key, get_luma_connector, luma_headers
logger = logging.getLogger(__name__)
@ -15,6 +17,23 @@ def create_list_luma_events_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the list_luma_events tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured list_luma_events tool
"""
del db_session # per-call session — see docstring
@tool
async def list_luma_events(
max_results: int = 25,
@ -28,77 +47,80 @@ def create_list_luma_events_tool(
Dictionary with status and a list of events including
event_id, name, start_at, end_at, location, url.
"""
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {"status": "error", "message": "Luma tool not properly configured."}
max_results = min(max_results, 50)
try:
connector = await get_luma_connector(db_session, search_space_id, user_id)
if not connector:
return {"status": "error", "message": "No Luma connector found."}
async with async_session_maker() as db_session:
connector = await get_luma_connector(
db_session, search_space_id, user_id
)
if not connector:
return {"status": "error", "message": "No Luma connector found."}
api_key = get_api_key(connector)
headers = luma_headers(api_key)
api_key = get_api_key(connector)
headers = luma_headers(api_key)
all_entries: list[dict] = []
cursor = None
all_entries: list[dict] = []
cursor = None
async with httpx.AsyncClient(timeout=20.0) as client:
while len(all_entries) < max_results:
params: dict[str, Any] = {
"limit": min(100, max_results - len(all_entries))
}
if cursor:
params["cursor"] = cursor
async with httpx.AsyncClient(timeout=20.0) as client:
while len(all_entries) < max_results:
params: dict[str, Any] = {
"limit": min(100, max_results - len(all_entries))
}
if cursor:
params["cursor"] = cursor
resp = await client.get(
f"{LUMA_API}/calendar/list-events",
headers=headers,
params=params,
resp = await client.get(
f"{LUMA_API}/calendar/list-events",
headers=headers,
params=params,
)
if resp.status_code == 401:
return {
"status": "auth_error",
"message": "Luma API key is invalid.",
"connector_type": "luma",
}
if resp.status_code != 200:
return {
"status": "error",
"message": f"Luma API error: {resp.status_code}",
}
data = resp.json()
entries = data.get("entries", [])
if not entries:
break
all_entries.extend(entries)
next_cursor = data.get("next_cursor")
if not next_cursor:
break
cursor = next_cursor
events = []
for entry in all_entries[:max_results]:
ev = entry.get("event", {})
geo = ev.get("geo_info", {})
events.append(
{
"event_id": entry.get("api_id"),
"name": ev.get("name", "Untitled"),
"start_at": ev.get("start_at", ""),
"end_at": ev.get("end_at", ""),
"timezone": ev.get("timezone", ""),
"location": geo.get("name", ""),
"url": ev.get("url", ""),
"visibility": ev.get("visibility", ""),
}
)
if resp.status_code == 401:
return {
"status": "auth_error",
"message": "Luma API key is invalid.",
"connector_type": "luma",
}
if resp.status_code != 200:
return {
"status": "error",
"message": f"Luma API error: {resp.status_code}",
}
data = resp.json()
entries = data.get("entries", [])
if not entries:
break
all_entries.extend(entries)
next_cursor = data.get("next_cursor")
if not next_cursor:
break
cursor = next_cursor
events = []
for entry in all_entries[:max_results]:
ev = entry.get("event", {})
geo = ev.get("geo_info", {})
events.append(
{
"event_id": entry.get("api_id"),
"name": ev.get("name", "Untitled"),
"start_at": ev.get("start_at", ""),
"end_at": ev.get("end_at", ""),
"timezone": ev.get("timezone", ""),
"location": geo.get("name", ""),
"url": ev.get("url", ""),
"visibility": ev.get("visibility", ""),
}
)
return {"status": "success", "events": events, "total": len(events)}
return {"status": "success", "events": events, "total": len(events)}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -5,6 +5,8 @@ import httpx
from langchain_core.tools import tool
from sqlalchemy.ext.asyncio import AsyncSession
from app.db import async_session_maker
from ._auth import LUMA_API, get_api_key, get_luma_connector, luma_headers
logger = logging.getLogger(__name__)
@ -15,6 +17,23 @@ def create_read_luma_event_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the read_luma_event tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured read_luma_event tool
"""
del db_session # per-call session — see docstring
@tool
async def read_luma_event(event_id: str) -> dict[str, Any]:
"""Read detailed information about a specific Luma event.
@ -26,60 +45,63 @@ def create_read_luma_event_tool(
Dictionary with status and full event details including
description, attendees count, meeting URL.
"""
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {"status": "error", "message": "Luma tool not properly configured."}
try:
connector = await get_luma_connector(db_session, search_space_id, user_id)
if not connector:
return {"status": "error", "message": "No Luma connector found."}
api_key = get_api_key(connector)
headers = luma_headers(api_key)
async with httpx.AsyncClient(timeout=15.0) as client:
resp = await client.get(
f"{LUMA_API}/events/{event_id}",
headers=headers,
async with async_session_maker() as db_session:
connector = await get_luma_connector(
db_session, search_space_id, user_id
)
if not connector:
return {"status": "error", "message": "No Luma connector found."}
if resp.status_code == 401:
return {
"status": "auth_error",
"message": "Luma API key is invalid.",
"connector_type": "luma",
}
if resp.status_code == 404:
return {
"status": "not_found",
"message": f"Event '{event_id}' not found.",
}
if resp.status_code != 200:
return {
"status": "error",
"message": f"Luma API error: {resp.status_code}",
api_key = get_api_key(connector)
headers = luma_headers(api_key)
async with httpx.AsyncClient(timeout=15.0) as client:
resp = await client.get(
f"{LUMA_API}/events/{event_id}",
headers=headers,
)
if resp.status_code == 401:
return {
"status": "auth_error",
"message": "Luma API key is invalid.",
"connector_type": "luma",
}
if resp.status_code == 404:
return {
"status": "not_found",
"message": f"Event '{event_id}' not found.",
}
if resp.status_code != 200:
return {
"status": "error",
"message": f"Luma API error: {resp.status_code}",
}
data = resp.json()
ev = data.get("event", data)
geo = ev.get("geo_info", {})
event_detail = {
"event_id": event_id,
"name": ev.get("name", ""),
"description": ev.get("description", ""),
"start_at": ev.get("start_at", ""),
"end_at": ev.get("end_at", ""),
"timezone": ev.get("timezone", ""),
"location_name": geo.get("name", ""),
"address": geo.get("address", ""),
"url": ev.get("url", ""),
"meeting_url": ev.get("meeting_url", ""),
"visibility": ev.get("visibility", ""),
"cover_url": ev.get("cover_url", ""),
}
data = resp.json()
ev = data.get("event", data)
geo = ev.get("geo_info", {})
event_detail = {
"event_id": event_id,
"name": ev.get("name", ""),
"description": ev.get("description", ""),
"start_at": ev.get("start_at", ""),
"end_at": ev.get("end_at", ""),
"timezone": ev.get("timezone", ""),
"location_name": geo.get("name", ""),
"address": geo.get("address", ""),
"url": ev.get("url", ""),
"meeting_url": ev.get("meeting_url", ""),
"visibility": ev.get("visibility", ""),
"cover_url": ev.get("cover_url", ""),
}
return {"status": "success", "event": event_detail}
return {"status": "success", "event": event_detail}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -6,6 +6,7 @@ from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.tools.hitl import request_approval
from app.connectors.notion_history import NotionAPIError, NotionHistoryConnector
from app.db import async_session_maker
from app.services.notion import NotionToolMetadataService
logger = logging.getLogger(__name__)
@ -20,8 +21,17 @@ def create_create_notion_page_tool(
"""
Factory function to create the create_notion_page tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker`. This is critical for the compiled-agent
cache: the compiled graph (and therefore this closure) is reused
across HTTP requests, so capturing a per-request session here would
surface stale/closed sessions on cache hits. Per-call sessions also
keep the request's outer transaction free of long-running Notion API
blocking.
Args:
db_session: Database session for accessing Notion connector
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
search_space_id: Search space ID to find the Notion connector
user_id: User ID for fetching user-specific context
connector_id: Optional specific connector ID (if known)
@ -29,6 +39,7 @@ def create_create_notion_page_tool(
Returns:
Configured create_notion_page tool
"""
del db_session # per-call session — see docstring
@tool
async def create_notion_page(
@ -67,7 +78,7 @@ def create_create_notion_page_tool(
"""
logger.info(f"create_notion_page called: title='{title}'")
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
logger.error(
"Notion tool not properly configured - missing required parameters"
)
@ -77,154 +88,157 @@ def create_create_notion_page_tool(
}
try:
metadata_service = NotionToolMetadataService(db_session)
context = await metadata_service.get_creation_context(
search_space_id, user_id
)
if "error" in context:
logger.error(f"Failed to fetch creation context: {context['error']}")
return {
"status": "error",
"message": context["error"],
}
accounts = context.get("accounts", [])
if accounts and all(a.get("auth_expired") for a in accounts):
logger.warning("All Notion accounts have expired authentication")
return {
"status": "auth_error",
"message": "All connected Notion accounts need re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "notion",
}
logger.info(f"Requesting approval for creating Notion page: '{title}'")
result = request_approval(
action_type="notion_page_creation",
tool_name="create_notion_page",
params={
"title": title,
"content": content,
"parent_page_id": None,
"connector_id": connector_id,
},
context=context,
)
if result.rejected:
logger.info("Notion page creation rejected by user")
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_title = result.params.get("title", title)
final_content = result.params.get("content", content)
final_parent_page_id = result.params.get("parent_page_id")
final_connector_id = result.params.get("connector_id", connector_id)
if not final_title or not final_title.strip():
logger.error("Title is empty or contains only whitespace")
return {
"status": "error",
"message": "Page title cannot be empty. Please provide a valid title.",
}
logger.info(
f"Creating Notion page with final params: title='{final_title}'"
)
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
actual_connector_id = final_connector_id
if actual_connector_id is None:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.NOTION_CONNECTOR,
)
async with async_session_maker() as db_session:
metadata_service = NotionToolMetadataService(db_session)
context = await metadata_service.get_creation_context(
search_space_id, user_id
)
connector = result.scalars().first()
if not connector:
logger.warning(
f"No Notion connector found for search_space_id={search_space_id}"
)
return {
"status": "error",
"message": "No Notion connector found. Please connect Notion in your workspace settings.",
}
actual_connector_id = connector.id
logger.info(f"Found Notion connector: id={actual_connector_id}")
else:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == actual_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.NOTION_CONNECTOR,
)
)
connector = result.scalars().first()
if not connector:
if "error" in context:
logger.error(
f"Invalid connector_id={actual_connector_id} for search_space_id={search_space_id}"
f"Failed to fetch creation context: {context['error']}"
)
return {
"status": "error",
"message": "Selected Notion account is invalid or has been disconnected. Please select a valid account.",
"message": context["error"],
}
logger.info(f"Validated Notion connector: id={actual_connector_id}")
notion_connector = NotionHistoryConnector(
session=db_session,
connector_id=actual_connector_id,
)
accounts = context.get("accounts", [])
if accounts and all(a.get("auth_expired") for a in accounts):
logger.warning("All Notion accounts have expired authentication")
return {
"status": "auth_error",
"message": "All connected Notion accounts need re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "notion",
}
result = await notion_connector.create_page(
title=final_title,
content=final_content,
parent_page_id=final_parent_page_id,
)
logger.info(
f"create_page result: {result.get('status')} - {result.get('message', '')}"
)
logger.info(f"Requesting approval for creating Notion page: '{title}'")
result = request_approval(
action_type="notion_page_creation",
tool_name="create_notion_page",
params={
"title": title,
"content": content,
"parent_page_id": None,
"connector_id": connector_id,
},
context=context,
)
if result.get("status") == "success":
kb_message_suffix = ""
try:
from app.services.notion import NotionKBSyncService
if result.rejected:
logger.info("Notion page creation rejected by user")
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
kb_service = NotionKBSyncService(db_session)
kb_result = await kb_service.sync_after_create(
page_id=result.get("page_id"),
page_title=result.get("title", final_title),
page_url=result.get("url"),
content=final_content,
connector_id=actual_connector_id,
search_space_id=search_space_id,
user_id=user_id,
)
if kb_result["status"] == "success":
kb_message_suffix = (
" Your knowledge base has also been updated."
final_title = result.params.get("title", title)
final_content = result.params.get("content", content)
final_parent_page_id = result.params.get("parent_page_id")
final_connector_id = result.params.get("connector_id", connector_id)
if not final_title or not final_title.strip():
logger.error("Title is empty or contains only whitespace")
return {
"status": "error",
"message": "Page title cannot be empty. Please provide a valid title.",
}
logger.info(
f"Creating Notion page with final params: title='{final_title}'"
)
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
actual_connector_id = final_connector_id
if actual_connector_id is None:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.NOTION_CONNECTOR,
)
else:
)
connector = result.scalars().first()
if not connector:
logger.warning(
f"No Notion connector found for search_space_id={search_space_id}"
)
return {
"status": "error",
"message": "No Notion connector found. Please connect Notion in your workspace settings.",
}
actual_connector_id = connector.id
logger.info(f"Found Notion connector: id={actual_connector_id}")
else:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == actual_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.NOTION_CONNECTOR,
)
)
connector = result.scalars().first()
if not connector:
logger.error(
f"Invalid connector_id={actual_connector_id} for search_space_id={search_space_id}"
)
return {
"status": "error",
"message": "Selected Notion account is invalid or has been disconnected. Please select a valid account.",
}
logger.info(f"Validated Notion connector: id={actual_connector_id}")
notion_connector = NotionHistoryConnector(
session=db_session,
connector_id=actual_connector_id,
)
result = await notion_connector.create_page(
title=final_title,
content=final_content,
parent_page_id=final_parent_page_id,
)
logger.info(
f"create_page result: {result.get('status')} - {result.get('message', '')}"
)
if result.get("status") == "success":
kb_message_suffix = ""
try:
from app.services.notion import NotionKBSyncService
kb_service = NotionKBSyncService(db_session)
kb_result = await kb_service.sync_after_create(
page_id=result.get("page_id"),
page_title=result.get("title", final_title),
page_url=result.get("url"),
content=final_content,
connector_id=actual_connector_id,
search_space_id=search_space_id,
user_id=user_id,
)
if kb_result["status"] == "success":
kb_message_suffix = (
" Your knowledge base has also been updated."
)
else:
kb_message_suffix = " This page will be added to your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after create failed: {kb_err}")
kb_message_suffix = " This page will be added to your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after create failed: {kb_err}")
kb_message_suffix = " This page will be added to your knowledge base in the next scheduled sync."
result["message"] = result.get("message", "") + kb_message_suffix
result["message"] = result.get("message", "") + kb_message_suffix
return result
return result
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -6,6 +6,7 @@ from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.tools.hitl import request_approval
from app.connectors.notion_history import NotionAPIError, NotionHistoryConnector
from app.db import async_session_maker
from app.services.notion.tool_metadata_service import NotionToolMetadataService
logger = logging.getLogger(__name__)
@ -20,8 +21,14 @@ def create_delete_notion_page_tool(
"""
Factory function to create the delete_notion_page tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Database session for accessing Notion connector
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
search_space_id: Search space ID to find the Notion connector
user_id: User ID for finding the correct Notion connector
connector_id: Optional specific connector ID (if known)
@ -29,6 +36,7 @@ def create_delete_notion_page_tool(
Returns:
Configured delete_notion_page tool
"""
del db_session # per-call session — see docstring
@tool
async def delete_notion_page(
@ -63,7 +71,7 @@ def create_delete_notion_page_tool(
f"delete_notion_page called: page_title='{page_title}', delete_from_kb={delete_from_kb}"
)
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
logger.error(
"Notion tool not properly configured - missing required parameters"
)
@ -73,164 +81,167 @@ def create_delete_notion_page_tool(
}
try:
# Get page context (page_id, account, title) from indexed data
metadata_service = NotionToolMetadataService(db_session)
context = await metadata_service.get_delete_context(
search_space_id, user_id, page_title
)
if "error" in context:
error_msg = context["error"]
# Check if it's a "not found" error (softer handling for LLM)
if "not found" in error_msg.lower():
logger.warning(f"Page not found: {error_msg}")
return {
"status": "not_found",
"message": error_msg,
}
else:
logger.error(f"Failed to fetch delete context: {error_msg}")
return {
"status": "error",
"message": error_msg,
}
account = context.get("account", {})
if account.get("auth_expired"):
logger.warning(
"Notion account %s has expired authentication",
account.get("id"),
async with async_session_maker() as db_session:
# Get page context (page_id, account, title) from indexed data
metadata_service = NotionToolMetadataService(db_session)
context = await metadata_service.get_delete_context(
search_space_id, user_id, page_title
)
return {
"status": "auth_error",
"message": "The Notion account for this page needs re-authentication. Please re-authenticate in your connector settings.",
}
page_id = context.get("page_id")
connector_id_from_context = account.get("id")
document_id = context.get("document_id")
logger.info(
f"Requesting approval for deleting Notion page: '{page_title}' (page_id={page_id}, delete_from_kb={delete_from_kb})"
)
result = request_approval(
action_type="notion_page_deletion",
tool_name="delete_notion_page",
params={
"page_id": page_id,
"connector_id": connector_id_from_context,
"delete_from_kb": delete_from_kb,
},
context=context,
)
if result.rejected:
logger.info("Notion page deletion rejected by user")
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_page_id = result.params.get("page_id", page_id)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
final_delete_from_kb = result.params.get("delete_from_kb", delete_from_kb)
logger.info(
f"Deleting Notion page with final params: page_id={final_page_id}, connector_id={final_connector_id}, delete_from_kb={final_delete_from_kb}"
)
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
# Validate the connector
if final_connector_id:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.NOTION_CONNECTOR,
)
)
connector = result.scalars().first()
if not connector:
logger.error(
f"Invalid connector_id={final_connector_id} for search_space_id={search_space_id}"
)
return {
"status": "error",
"message": "Selected Notion account is invalid or has been disconnected. Please select a valid account.",
}
actual_connector_id = connector.id
logger.info(f"Validated Notion connector: id={actual_connector_id}")
else:
logger.error("No connector found for this page")
return {
"status": "error",
"message": "No connector found for this page.",
}
# Create connector instance
notion_connector = NotionHistoryConnector(
session=db_session,
connector_id=actual_connector_id,
)
# Delete the page from Notion
result = await notion_connector.delete_page(page_id=final_page_id)
logger.info(
f"delete_page result: {result.get('status')} - {result.get('message', '')}"
)
# If deletion was successful and user wants to delete from KB
deleted_from_kb = False
if (
result.get("status") == "success"
and final_delete_from_kb
and document_id
):
try:
from sqlalchemy.future import select
from app.db import Document
# Get the document
doc_result = await db_session.execute(
select(Document).filter(Document.id == document_id)
)
document = doc_result.scalars().first()
if document:
await db_session.delete(document)
await db_session.commit()
deleted_from_kb = True
logger.info(
f"Deleted document {document_id} from knowledge base"
)
if "error" in context:
error_msg = context["error"]
# Check if it's a "not found" error (softer handling for LLM)
if "not found" in error_msg.lower():
logger.warning(f"Page not found: {error_msg}")
return {
"status": "not_found",
"message": error_msg,
}
else:
logger.warning(f"Document {document_id} not found in KB")
except Exception as e:
logger.error(f"Failed to delete document from KB: {e}")
await db_session.rollback()
result["warning"] = (
f"Page deleted from Notion, but failed to remove from knowledge base: {e!s}"
)
logger.error(f"Failed to fetch delete context: {error_msg}")
return {
"status": "error",
"message": error_msg,
}
# Update result with KB deletion status
if result.get("status") == "success":
result["deleted_from_kb"] = deleted_from_kb
if deleted_from_kb:
result["message"] = (
f"{result.get('message', '')} (also removed from knowledge base)"
account = context.get("account", {})
if account.get("auth_expired"):
logger.warning(
"Notion account %s has expired authentication",
account.get("id"),
)
return {
"status": "auth_error",
"message": "The Notion account for this page needs re-authentication. Please re-authenticate in your connector settings.",
}
return result
page_id = context.get("page_id")
connector_id_from_context = account.get("id")
document_id = context.get("document_id")
logger.info(
f"Requesting approval for deleting Notion page: '{page_title}' (page_id={page_id}, delete_from_kb={delete_from_kb})"
)
result = request_approval(
action_type="notion_page_deletion",
tool_name="delete_notion_page",
params={
"page_id": page_id,
"connector_id": connector_id_from_context,
"delete_from_kb": delete_from_kb,
},
context=context,
)
if result.rejected:
logger.info("Notion page deletion rejected by user")
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_page_id = result.params.get("page_id", page_id)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
final_delete_from_kb = result.params.get(
"delete_from_kb", delete_from_kb
)
logger.info(
f"Deleting Notion page with final params: page_id={final_page_id}, connector_id={final_connector_id}, delete_from_kb={final_delete_from_kb}"
)
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
# Validate the connector
if final_connector_id:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.NOTION_CONNECTOR,
)
)
connector = result.scalars().first()
if not connector:
logger.error(
f"Invalid connector_id={final_connector_id} for search_space_id={search_space_id}"
)
return {
"status": "error",
"message": "Selected Notion account is invalid or has been disconnected. Please select a valid account.",
}
actual_connector_id = connector.id
logger.info(f"Validated Notion connector: id={actual_connector_id}")
else:
logger.error("No connector found for this page")
return {
"status": "error",
"message": "No connector found for this page.",
}
# Create connector instance
notion_connector = NotionHistoryConnector(
session=db_session,
connector_id=actual_connector_id,
)
# Delete the page from Notion
result = await notion_connector.delete_page(page_id=final_page_id)
logger.info(
f"delete_page result: {result.get('status')} - {result.get('message', '')}"
)
# If deletion was successful and user wants to delete from KB
deleted_from_kb = False
if (
result.get("status") == "success"
and final_delete_from_kb
and document_id
):
try:
from sqlalchemy.future import select
from app.db import Document
# Get the document
doc_result = await db_session.execute(
select(Document).filter(Document.id == document_id)
)
document = doc_result.scalars().first()
if document:
await db_session.delete(document)
await db_session.commit()
deleted_from_kb = True
logger.info(
f"Deleted document {document_id} from knowledge base"
)
else:
logger.warning(f"Document {document_id} not found in KB")
except Exception as e:
logger.error(f"Failed to delete document from KB: {e}")
await db_session.rollback()
result["warning"] = (
f"Page deleted from Notion, but failed to remove from knowledge base: {e!s}"
)
# Update result with KB deletion status
if result.get("status") == "success":
result["deleted_from_kb"] = deleted_from_kb
if deleted_from_kb:
result["message"] = (
f"{result.get('message', '')} (also removed from knowledge base)"
)
return result
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -6,6 +6,7 @@ from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.tools.hitl import request_approval
from app.connectors.notion_history import NotionAPIError, NotionHistoryConnector
from app.db import async_session_maker
from app.services.notion import NotionToolMetadataService
logger = logging.getLogger(__name__)
@ -20,8 +21,14 @@ def create_update_notion_page_tool(
"""
Factory function to create the update_notion_page tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache (see
``create_create_notion_page_tool`` for the full rationale).
Args:
db_session: Database session for accessing Notion connector
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
search_space_id: Search space ID to find the Notion connector
user_id: User ID for fetching user-specific context
connector_id: Optional specific connector ID (if known)
@ -29,6 +36,7 @@ def create_update_notion_page_tool(
Returns:
Configured update_notion_page tool
"""
del db_session # per-call session — see docstring
@tool
async def update_notion_page(
@ -71,7 +79,7 @@ def create_update_notion_page_tool(
f"update_notion_page called: page_title='{page_title}', content_length={len(content) if content else 0}"
)
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
logger.error(
"Notion tool not properly configured - missing required parameters"
)
@ -88,152 +96,155 @@ def create_update_notion_page_tool(
}
try:
metadata_service = NotionToolMetadataService(db_session)
context = await metadata_service.get_update_context(
search_space_id, user_id, page_title
)
if "error" in context:
error_msg = context["error"]
# Check if it's a "not found" error (softer handling for LLM)
if "not found" in error_msg.lower():
logger.warning(f"Page not found: {error_msg}")
return {
"status": "not_found",
"message": error_msg,
}
else:
logger.error(f"Failed to fetch update context: {error_msg}")
return {
"status": "error",
"message": error_msg,
}
account = context.get("account", {})
if account.get("auth_expired"):
logger.warning(
"Notion account %s has expired authentication",
account.get("id"),
)
return {
"status": "auth_error",
"message": "The Notion account for this page needs re-authentication. Please re-authenticate in your connector settings.",
}
page_id = context.get("page_id")
document_id = context.get("document_id")
connector_id_from_context = context.get("account", {}).get("id")
logger.info(
f"Requesting approval for updating Notion page: '{page_title}' (page_id={page_id})"
)
result = request_approval(
action_type="notion_page_update",
tool_name="update_notion_page",
params={
"page_id": page_id,
"content": content,
"connector_id": connector_id_from_context,
},
context=context,
)
if result.rejected:
logger.info("Notion page update rejected by user")
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_page_id = result.params.get("page_id", page_id)
final_content = result.params.get("content", content)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
logger.info(
f"Updating Notion page with final params: page_id={final_page_id}, has_content={final_content is not None}"
)
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
if final_connector_id:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.NOTION_CONNECTOR,
)
)
connector = result.scalars().first()
if not connector:
logger.error(
f"Invalid connector_id={final_connector_id} for search_space_id={search_space_id}"
)
return {
"status": "error",
"message": "Selected Notion account is invalid or has been disconnected. Please select a valid account.",
}
actual_connector_id = connector.id
logger.info(f"Validated Notion connector: id={actual_connector_id}")
else:
logger.error("No connector found for this page")
return {
"status": "error",
"message": "No connector found for this page.",
}
notion_connector = NotionHistoryConnector(
session=db_session,
connector_id=actual_connector_id,
)
result = await notion_connector.update_page(
page_id=final_page_id,
content=final_content,
)
logger.info(
f"update_page result: {result.get('status')} - {result.get('message', '')}"
)
if result.get("status") == "success" and document_id is not None:
from app.services.notion import NotionKBSyncService
logger.info(f"Updating knowledge base for document {document_id}...")
kb_service = NotionKBSyncService(db_session)
kb_result = await kb_service.sync_after_update(
document_id=document_id,
appended_content=final_content,
user_id=user_id,
search_space_id=search_space_id,
appended_block_ids=result.get("appended_block_ids"),
async with async_session_maker() as db_session:
metadata_service = NotionToolMetadataService(db_session)
context = await metadata_service.get_update_context(
search_space_id, user_id, page_title
)
if kb_result["status"] == "success":
result["message"] = (
f"{result['message']}. Your knowledge base has also been updated."
)
logger.info(
f"Knowledge base successfully updated for page {final_page_id}"
)
elif kb_result["status"] == "not_indexed":
result["message"] = (
f"{result['message']}. This page will be added to your knowledge base in the next scheduled sync."
)
else:
result["message"] = (
f"{result['message']}. Your knowledge base will be updated in the next scheduled sync."
)
if "error" in context:
error_msg = context["error"]
# Check if it's a "not found" error (softer handling for LLM)
if "not found" in error_msg.lower():
logger.warning(f"Page not found: {error_msg}")
return {
"status": "not_found",
"message": error_msg,
}
else:
logger.error(f"Failed to fetch update context: {error_msg}")
return {
"status": "error",
"message": error_msg,
}
account = context.get("account", {})
if account.get("auth_expired"):
logger.warning(
f"KB update failed for page {final_page_id}: {kb_result['message']}"
"Notion account %s has expired authentication",
account.get("id"),
)
return {
"status": "auth_error",
"message": "The Notion account for this page needs re-authentication. Please re-authenticate in your connector settings.",
}
page_id = context.get("page_id")
document_id = context.get("document_id")
connector_id_from_context = context.get("account", {}).get("id")
logger.info(
f"Requesting approval for updating Notion page: '{page_title}' (page_id={page_id})"
)
result = request_approval(
action_type="notion_page_update",
tool_name="update_notion_page",
params={
"page_id": page_id,
"content": content,
"connector_id": connector_id_from_context,
},
context=context,
)
if result.rejected:
logger.info("Notion page update rejected by user")
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_page_id = result.params.get("page_id", page_id)
final_content = result.params.get("content", content)
final_connector_id = result.params.get(
"connector_id", connector_id_from_context
)
logger.info(
f"Updating Notion page with final params: page_id={final_page_id}, has_content={final_content is not None}"
)
from sqlalchemy.future import select
from app.db import SearchSourceConnector, SearchSourceConnectorType
if final_connector_id:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.NOTION_CONNECTOR,
)
)
connector = result.scalars().first()
if not connector:
logger.error(
f"Invalid connector_id={final_connector_id} for search_space_id={search_space_id}"
)
return {
"status": "error",
"message": "Selected Notion account is invalid or has been disconnected. Please select a valid account.",
}
actual_connector_id = connector.id
logger.info(f"Validated Notion connector: id={actual_connector_id}")
else:
logger.error("No connector found for this page")
return {
"status": "error",
"message": "No connector found for this page.",
}
notion_connector = NotionHistoryConnector(
session=db_session,
connector_id=actual_connector_id,
)
result = await notion_connector.update_page(
page_id=final_page_id,
content=final_content,
)
logger.info(
f"update_page result: {result.get('status')} - {result.get('message', '')}"
)
if result.get("status") == "success" and document_id is not None:
from app.services.notion import NotionKBSyncService
logger.info(
f"Updating knowledge base for document {document_id}..."
)
kb_service = NotionKBSyncService(db_session)
kb_result = await kb_service.sync_after_update(
document_id=document_id,
appended_content=final_content,
user_id=user_id,
search_space_id=search_space_id,
appended_block_ids=result.get("appended_block_ids"),
)
return result
if kb_result["status"] == "success":
result["message"] = (
f"{result['message']}. Your knowledge base has also been updated."
)
logger.info(
f"Knowledge base successfully updated for page {final_page_id}"
)
elif kb_result["status"] == "not_indexed":
result["message"] = (
f"{result['message']}. This page will be added to your knowledge base in the next scheduled sync."
)
else:
result["message"] = (
f"{result['message']}. Your knowledge base will be updated in the next scheduled sync."
)
logger.warning(
f"KB update failed for page {final_page_id}: {kb_result['message']}"
)
return result
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -10,7 +10,7 @@ from sqlalchemy.future import select
from app.agents.new_chat.tools.hitl import request_approval
from app.connectors.onedrive.client import OneDriveClient
from app.db import SearchSourceConnector, SearchSourceConnectorType
from app.db import SearchSourceConnector, SearchSourceConnectorType, async_session_maker
logger = logging.getLogger(__name__)
@ -48,6 +48,23 @@ def create_create_onedrive_file_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the create_onedrive_file tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured create_onedrive_file tool
"""
del db_session # per-call session — see docstring
@tool
async def create_onedrive_file(
name: str,
@ -70,173 +87,178 @@ def create_create_onedrive_file_tool(
"""
logger.info(f"create_onedrive_file called: name='{name}'")
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {
"status": "error",
"message": "OneDrive tool not properly configured.",
}
try:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.ONEDRIVE_CONNECTOR,
)
)
connectors = result.scalars().all()
if not connectors:
return {
"status": "error",
"message": "No OneDrive connector found. Please connect OneDrive in your workspace settings.",
}
accounts = []
for c in connectors:
cfg = c.config or {}
accounts.append(
{
"id": c.id,
"name": c.name,
"user_email": cfg.get("user_email"),
"auth_expired": cfg.get("auth_expired", False),
}
)
if all(a.get("auth_expired") for a in accounts):
return {
"status": "auth_error",
"message": "All connected OneDrive accounts need re-authentication.",
"connector_type": "onedrive",
}
parent_folders: dict[int, list[dict[str, str]]] = {}
for acc in accounts:
cid = acc["id"]
if acc.get("auth_expired"):
parent_folders[cid] = []
continue
try:
client = OneDriveClient(session=db_session, connector_id=cid)
items, err = await client.list_children("root")
if err:
logger.warning(
"Failed to list folders for connector %s: %s", cid, err
)
parent_folders[cid] = []
else:
parent_folders[cid] = [
{"folder_id": item["id"], "name": item["name"]}
for item in items
if item.get("folder") is not None
and item.get("id")
and item.get("name")
]
except Exception:
logger.warning(
"Error fetching folders for connector %s", cid, exc_info=True
)
parent_folders[cid] = []
context: dict[str, Any] = {
"accounts": accounts,
"parent_folders": parent_folders,
}
result = request_approval(
action_type="onedrive_file_creation",
tool_name="create_onedrive_file",
params={
"name": name,
"content": content,
"connector_id": None,
"parent_folder_id": None,
},
context=context,
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_name = result.params.get("name", name)
final_content = result.params.get("content", content)
final_connector_id = result.params.get("connector_id")
final_parent_folder_id = result.params.get("parent_folder_id")
if not final_name or not final_name.strip():
return {"status": "error", "message": "File name cannot be empty."}
final_name = _ensure_docx_extension(final_name)
if final_connector_id is not None:
async with async_session_maker() as db_session:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.ONEDRIVE_CONNECTOR,
)
)
connector = result.scalars().first()
else:
connector = connectors[0]
connectors = result.scalars().all()
if not connector:
return {
"status": "error",
"message": "Selected OneDrive connector is invalid.",
if not connectors:
return {
"status": "error",
"message": "No OneDrive connector found. Please connect OneDrive in your workspace settings.",
}
accounts = []
for c in connectors:
cfg = c.config or {}
accounts.append(
{
"id": c.id,
"name": c.name,
"user_email": cfg.get("user_email"),
"auth_expired": cfg.get("auth_expired", False),
}
)
if all(a.get("auth_expired") for a in accounts):
return {
"status": "auth_error",
"message": "All connected OneDrive accounts need re-authentication.",
"connector_type": "onedrive",
}
parent_folders: dict[int, list[dict[str, str]]] = {}
for acc in accounts:
cid = acc["id"]
if acc.get("auth_expired"):
parent_folders[cid] = []
continue
try:
client = OneDriveClient(session=db_session, connector_id=cid)
items, err = await client.list_children("root")
if err:
logger.warning(
"Failed to list folders for connector %s: %s", cid, err
)
parent_folders[cid] = []
else:
parent_folders[cid] = [
{"folder_id": item["id"], "name": item["name"]}
for item in items
if item.get("folder") is not None
and item.get("id")
and item.get("name")
]
except Exception:
logger.warning(
"Error fetching folders for connector %s",
cid,
exc_info=True,
)
parent_folders[cid] = []
context: dict[str, Any] = {
"accounts": accounts,
"parent_folders": parent_folders,
}
docx_bytes = _markdown_to_docx(final_content or "")
client = OneDriveClient(session=db_session, connector_id=connector.id)
created = await client.create_file(
name=final_name,
parent_id=final_parent_folder_id,
content=docx_bytes,
mime_type=DOCX_MIME,
)
logger.info(
f"OneDrive file created: id={created.get('id')}, name={created.get('name')}"
)
kb_message_suffix = ""
try:
from app.services.onedrive import OneDriveKBSyncService
kb_service = OneDriveKBSyncService(db_session)
kb_result = await kb_service.sync_after_create(
file_id=created.get("id"),
file_name=created.get("name", final_name),
mime_type=DOCX_MIME,
web_url=created.get("webUrl"),
content=final_content,
connector_id=connector.id,
search_space_id=search_space_id,
user_id=user_id,
result = request_approval(
action_type="onedrive_file_creation",
tool_name="create_onedrive_file",
params={
"name": name,
"content": content,
"connector_id": None,
"parent_folder_id": None,
},
context=context,
)
if kb_result["status"] == "success":
kb_message_suffix = " Your knowledge base has also been updated."
else:
kb_message_suffix = " This file will be added to your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after create failed: {kb_err}")
kb_message_suffix = " This file will be added to your knowledge base in the next scheduled sync."
return {
"status": "success",
"file_id": created.get("id"),
"name": created.get("name"),
"web_url": created.get("webUrl"),
"message": f"Successfully created '{created.get('name')}' in OneDrive.{kb_message_suffix}",
}
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_name = result.params.get("name", name)
final_content = result.params.get("content", content)
final_connector_id = result.params.get("connector_id")
final_parent_folder_id = result.params.get("parent_folder_id")
if not final_name or not final_name.strip():
return {"status": "error", "message": "File name cannot be empty."}
final_name = _ensure_docx_extension(final_name)
if final_connector_id is not None:
result = await db_session.execute(
select(SearchSourceConnector).filter(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.ONEDRIVE_CONNECTOR,
)
)
connector = result.scalars().first()
else:
connector = connectors[0]
if not connector:
return {
"status": "error",
"message": "Selected OneDrive connector is invalid.",
}
docx_bytes = _markdown_to_docx(final_content or "")
client = OneDriveClient(session=db_session, connector_id=connector.id)
created = await client.create_file(
name=final_name,
parent_id=final_parent_folder_id,
content=docx_bytes,
mime_type=DOCX_MIME,
)
logger.info(
f"OneDrive file created: id={created.get('id')}, name={created.get('name')}"
)
kb_message_suffix = ""
try:
from app.services.onedrive import OneDriveKBSyncService
kb_service = OneDriveKBSyncService(db_session)
kb_result = await kb_service.sync_after_create(
file_id=created.get("id"),
file_name=created.get("name", final_name),
mime_type=DOCX_MIME,
web_url=created.get("webUrl"),
content=final_content,
connector_id=connector.id,
search_space_id=search_space_id,
user_id=user_id,
)
if kb_result["status"] == "success":
kb_message_suffix = (
" Your knowledge base has also been updated."
)
else:
kb_message_suffix = " This file will be added to your knowledge base in the next scheduled sync."
except Exception as kb_err:
logger.warning(f"KB sync after create failed: {kb_err}")
kb_message_suffix = " This file will be added to your knowledge base in the next scheduled sync."
return {
"status": "success",
"file_id": created.get("id"),
"name": created.get("name"),
"web_url": created.get("webUrl"),
"message": f"Successfully created '{created.get('name')}' in OneDrive.{kb_message_suffix}",
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -13,6 +13,7 @@ from app.db import (
DocumentType,
SearchSourceConnector,
SearchSourceConnectorType,
async_session_maker,
)
logger = logging.getLogger(__name__)
@ -23,6 +24,23 @@ def create_delete_onedrive_file_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the delete_onedrive_file tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured delete_onedrive_file tool
"""
del db_session # per-call session — see docstring
@tool
async def delete_onedrive_file(
file_name: str,
@ -56,33 +74,14 @@ def create_delete_onedrive_file_tool(
f"delete_onedrive_file called: file_name='{file_name}', delete_from_kb={delete_from_kb}"
)
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {
"status": "error",
"message": "OneDrive tool not properly configured.",
}
try:
doc_result = await db_session.execute(
select(Document)
.join(
SearchSourceConnector,
Document.connector_id == SearchSourceConnector.id,
)
.filter(
and_(
Document.search_space_id == search_space_id,
Document.document_type == DocumentType.ONEDRIVE_FILE,
func.lower(Document.title) == func.lower(file_name),
SearchSourceConnector.user_id == user_id,
)
)
.order_by(Document.updated_at.desc().nullslast())
.limit(1)
)
document = doc_result.scalars().first()
if not document:
async with async_session_maker() as db_session:
doc_result = await db_session.execute(
select(Document)
.join(
@ -93,13 +92,7 @@ def create_delete_onedrive_file_tool(
and_(
Document.search_space_id == search_space_id,
Document.document_type == DocumentType.ONEDRIVE_FILE,
func.lower(
cast(
Document.document_metadata["onedrive_file_name"],
String,
)
)
== func.lower(file_name),
func.lower(Document.title) == func.lower(file_name),
SearchSourceConnector.user_id == user_id,
)
)
@ -108,98 +101,64 @@ def create_delete_onedrive_file_tool(
)
document = doc_result.scalars().first()
if not document:
return {
"status": "not_found",
"message": (
f"File '{file_name}' not found in your indexed OneDrive files. "
"This could mean: (1) the file doesn't exist, (2) it hasn't been indexed yet, "
"or (3) the file name is different."
),
}
if not document.connector_id:
return {
"status": "error",
"message": "Document has no associated connector.",
}
meta = document.document_metadata or {}
file_id = meta.get("onedrive_file_id")
document_id = document.id
if not file_id:
return {
"status": "error",
"message": "File ID is missing. Please re-index the file.",
}
conn_result = await db_session.execute(
select(SearchSourceConnector).filter(
and_(
SearchSourceConnector.id == document.connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.ONEDRIVE_CONNECTOR,
if not document:
doc_result = await db_session.execute(
select(Document)
.join(
SearchSourceConnector,
Document.connector_id == SearchSourceConnector.id,
)
.filter(
and_(
Document.search_space_id == search_space_id,
Document.document_type == DocumentType.ONEDRIVE_FILE,
func.lower(
cast(
Document.document_metadata[
"onedrive_file_name"
],
String,
)
)
== func.lower(file_name),
SearchSourceConnector.user_id == user_id,
)
)
.order_by(Document.updated_at.desc().nullslast())
.limit(1)
)
)
)
connector = conn_result.scalars().first()
if not connector:
return {
"status": "error",
"message": "OneDrive connector not found or access denied.",
}
document = doc_result.scalars().first()
cfg = connector.config or {}
if cfg.get("auth_expired"):
return {
"status": "auth_error",
"message": "OneDrive account needs re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "onedrive",
}
if not document:
return {
"status": "not_found",
"message": (
f"File '{file_name}' not found in your indexed OneDrive files. "
"This could mean: (1) the file doesn't exist, (2) it hasn't been indexed yet, "
"or (3) the file name is different."
),
}
context = {
"file": {
"file_id": file_id,
"name": file_name,
"document_id": document_id,
"web_url": meta.get("web_url"),
},
"account": {
"id": connector.id,
"name": connector.name,
"user_email": cfg.get("user_email"),
},
}
if not document.connector_id:
return {
"status": "error",
"message": "Document has no associated connector.",
}
result = request_approval(
action_type="onedrive_file_trash",
tool_name="delete_onedrive_file",
params={
"file_id": file_id,
"connector_id": connector.id,
"delete_from_kb": delete_from_kb,
},
context=context,
)
meta = document.document_metadata or {}
file_id = meta.get("onedrive_file_id")
document_id = document.id
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
if not file_id:
return {
"status": "error",
"message": "File ID is missing. Please re-index the file.",
}
final_file_id = result.params.get("file_id", file_id)
final_connector_id = result.params.get("connector_id", connector.id)
final_delete_from_kb = result.params.get("delete_from_kb", delete_from_kb)
if final_connector_id != connector.id:
result = await db_session.execute(
conn_result = await db_session.execute(
select(SearchSourceConnector).filter(
and_(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.id == document.connector_id,
SearchSourceConnector.search_space_id == search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
@ -207,65 +166,130 @@ def create_delete_onedrive_file_tool(
)
)
)
validated_connector = result.scalars().first()
if not validated_connector:
connector = conn_result.scalars().first()
if not connector:
return {
"status": "error",
"message": "Selected OneDrive connector is invalid or has been disconnected.",
"message": "OneDrive connector not found or access denied.",
}
actual_connector_id = validated_connector.id
else:
actual_connector_id = connector.id
logger.info(
f"Deleting OneDrive file: file_id='{final_file_id}', connector={actual_connector_id}"
)
cfg = connector.config or {}
if cfg.get("auth_expired"):
return {
"status": "auth_error",
"message": "OneDrive account needs re-authentication. Please re-authenticate in your connector settings.",
"connector_type": "onedrive",
}
client = OneDriveClient(
session=db_session, connector_id=actual_connector_id
)
await client.trash_file(final_file_id)
context = {
"file": {
"file_id": file_id,
"name": file_name,
"document_id": document_id,
"web_url": meta.get("web_url"),
},
"account": {
"id": connector.id,
"name": connector.name,
"user_email": cfg.get("user_email"),
},
}
logger.info(
f"OneDrive file deleted (moved to recycle bin): file_id={final_file_id}"
)
trash_result: dict[str, Any] = {
"status": "success",
"file_id": final_file_id,
"message": f"Successfully moved '{file_name}' to the recycle bin.",
}
deleted_from_kb = False
if final_delete_from_kb and document_id:
try:
doc_result = await db_session.execute(
select(Document).filter(Document.id == document_id)
)
doc = doc_result.scalars().first()
if doc:
await db_session.delete(doc)
await db_session.commit()
deleted_from_kb = True
logger.info(
f"Deleted document {document_id} from knowledge base"
)
else:
logger.warning(f"Document {document_id} not found in KB")
except Exception as e:
logger.error(f"Failed to delete document from KB: {e}")
await db_session.rollback()
trash_result["warning"] = (
f"File moved to recycle bin, but failed to remove from knowledge base: {e!s}"
)
trash_result["deleted_from_kb"] = deleted_from_kb
if deleted_from_kb:
trash_result["message"] = (
f"{trash_result.get('message', '')} (also removed from knowledge base)"
result = request_approval(
action_type="onedrive_file_trash",
tool_name="delete_onedrive_file",
params={
"file_id": file_id,
"connector_id": connector.id,
"delete_from_kb": delete_from_kb,
},
context=context,
)
return trash_result
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Do not retry or suggest alternatives.",
}
final_file_id = result.params.get("file_id", file_id)
final_connector_id = result.params.get("connector_id", connector.id)
final_delete_from_kb = result.params.get(
"delete_from_kb", delete_from_kb
)
if final_connector_id != connector.id:
result = await db_session.execute(
select(SearchSourceConnector).filter(
and_(
SearchSourceConnector.id == final_connector_id,
SearchSourceConnector.search_space_id
== search_space_id,
SearchSourceConnector.user_id == user_id,
SearchSourceConnector.connector_type
== SearchSourceConnectorType.ONEDRIVE_CONNECTOR,
)
)
)
validated_connector = result.scalars().first()
if not validated_connector:
return {
"status": "error",
"message": "Selected OneDrive connector is invalid or has been disconnected.",
}
actual_connector_id = validated_connector.id
else:
actual_connector_id = connector.id
logger.info(
f"Deleting OneDrive file: file_id='{final_file_id}', connector={actual_connector_id}"
)
client = OneDriveClient(
session=db_session, connector_id=actual_connector_id
)
await client.trash_file(final_file_id)
logger.info(
f"OneDrive file deleted (moved to recycle bin): file_id={final_file_id}"
)
trash_result: dict[str, Any] = {
"status": "success",
"file_id": final_file_id,
"message": f"Successfully moved '{file_name}' to the recycle bin.",
}
deleted_from_kb = False
if final_delete_from_kb and document_id:
try:
doc_result = await db_session.execute(
select(Document).filter(Document.id == document_id)
)
doc = doc_result.scalars().first()
if doc:
await db_session.delete(doc)
await db_session.commit()
deleted_from_kb = True
logger.info(
f"Deleted document {document_id} from knowledge base"
)
else:
logger.warning(f"Document {document_id} not found in KB")
except Exception as e:
logger.error(f"Failed to delete document from KB: {e}")
await db_session.rollback()
trash_result["warning"] = (
f"File moved to recycle bin, but failed to remove from knowledge base: {e!s}"
)
trash_result["deleted_from_kb"] = deleted_from_kb
if deleted_from_kb:
trash_result["message"] = (
f"{trash_result.get('message', '')} (also removed from knowledge base)"
)
return trash_result
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -824,13 +824,22 @@ async def build_tools_async(
"""Async version of build_tools that also loads MCP tools from database.
Design Note:
This function exists because MCP tools require database queries to load user configs,
while built-in tools are created synchronously from static code.
This function exists because MCP tools require database queries to load
user configs, while built-in tools are created synchronously from static
code.
Alternative: We could make build_tools() itself async and always query the database,
but that would force async everywhere even when only using built-in tools. The current
design keeps the simple case (static tools only) synchronous while supporting dynamic
database-loaded tools through this async wrapper.
Alternative: We could make build_tools() itself async and always query
the database, but that would force async everywhere even when only using
built-in tools. The current design keeps the simple case (static tools
only) synchronous while supporting dynamic database-loaded tools through
this async wrapper.
Phase 1.3: built-in tool construction (CPU; runs in a thread pool to
avoid event-loop stalls) and MCP tool loading (HTTP/DB I/O; runs on
the event loop) are kicked off concurrently. Cold-path savings are
bounded by the slower of the two typically MCP at ~200ms-1.7s
so the parallelization recovers the ~50-200ms previously spent
serially on built-in construction.
Args:
dependencies: Dict containing all possible dependencies
@ -843,33 +852,70 @@ async def build_tools_async(
List of configured tool instances ready for the agent, including MCP tools.
"""
import asyncio
import time
_perf_log = logging.getLogger("surfsense.perf")
_perf_log.setLevel(logging.DEBUG)
can_load_mcp = (
include_mcp_tools
and "db_session" in dependencies
and "search_space_id" in dependencies
)
# Built-in tool construction is synchronous + CPU-only. Off-loop it so
# MCP's HTTP/DB I/O can fire concurrently. ``build_tools`` is pure
# function over its inputs — safe to thread-shift.
_t0 = time.perf_counter()
tools = build_tools(dependencies, enabled_tools, disabled_tools, additional_tools)
builtin_task = asyncio.create_task(
asyncio.to_thread(
build_tools, dependencies, enabled_tools, disabled_tools, additional_tools
)
)
mcp_task: asyncio.Task | None = None
if can_load_mcp:
mcp_task = asyncio.create_task(
load_mcp_tools(
dependencies["db_session"],
dependencies["search_space_id"],
)
)
# Surface failures from each task independently so a flaky MCP
# endpoint never poisons built-in tool registration. ``return_exceptions``
# gives us per-task exceptions instead of dropping the second result
# when the first raises.
if mcp_task is not None:
builtin_result, mcp_result = await asyncio.gather(
builtin_task, mcp_task, return_exceptions=True
)
else:
builtin_result = await builtin_task
mcp_result = None
if isinstance(builtin_result, BaseException):
raise builtin_result # built-in registration failure is non-recoverable
tools: list[BaseTool] = builtin_result
_perf_log.info(
"[build_tools_async] Built-in tools in %.3fs (%d tools)",
"[build_tools_async] Built-in tools in %.3fs (%d tools, parallel)",
time.perf_counter() - _t0,
len(tools),
)
# Load MCP tools if requested and dependencies are available
if (
include_mcp_tools
and "db_session" in dependencies
and "search_space_id" in dependencies
):
try:
_t0 = time.perf_counter()
mcp_tools = await load_mcp_tools(
dependencies["db_session"],
dependencies["search_space_id"],
if mcp_task is not None:
if isinstance(mcp_result, BaseException):
# ``return_exceptions=True`` captures the exception out-of-band,
# so ``sys.exc_info()`` is empty here. Pass the captured
# exception via ``exc_info=`` to get a real traceback.
logging.error(
"Failed to load MCP tools: %s", mcp_result, exc_info=mcp_result
)
else:
mcp_tools = mcp_result or []
_perf_log.info(
"[build_tools_async] MCP tools loaded in %.3fs (%d tools)",
"[build_tools_async] MCP tools loaded in %.3fs (%d tools, parallel)",
time.perf_counter() - _t0,
len(mcp_tools),
)
@ -879,8 +925,6 @@ async def build_tools_async(
len(mcp_tools),
[t.name for t in mcp_tools],
)
except Exception as e:
logging.exception("Failed to load MCP tools: %s", e)
logging.info(
"Total tools for agent: %d%s",

View file

@ -15,7 +15,7 @@ from langchain_core.tools import tool
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.db import SurfsenseDocsChunk, SurfsenseDocsDocument
from app.db import SurfsenseDocsChunk, SurfsenseDocsDocument, async_session_maker
from app.utils.document_converters import embed_text
@ -124,12 +124,19 @@ def create_search_surfsense_docs_tool(db_session: AsyncSession):
"""
Factory function to create the search_surfsense_docs tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Database session for executing queries
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
A configured tool function for searching Surfsense documentation
"""
del db_session # per-call session — see docstring
@tool
async def search_surfsense_docs(query: str, top_k: int = 10) -> str:
@ -155,10 +162,11 @@ def create_search_surfsense_docs_tool(db_session: AsyncSession):
Returns:
Relevant documentation content formatted with chunk IDs for citations
"""
return await search_surfsense_docs_async(
query=query,
db_session=db_session,
top_k=top_k,
)
async with async_session_maker() as db_session:
return await search_surfsense_docs_async(
query=query,
db_session=db_session,
top_k=top_k,
)
return search_surfsense_docs

View file

@ -5,6 +5,8 @@ import httpx
from langchain_core.tools import tool
from sqlalchemy.ext.asyncio import AsyncSession
from app.db import async_session_maker
from ._auth import GRAPH_API, get_access_token, get_teams_connector
logger = logging.getLogger(__name__)
@ -15,6 +17,23 @@ def create_list_teams_channels_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the list_teams_channels tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured list_teams_channels tool
"""
del db_session # per-call session — see docstring
@tool
async def list_teams_channels() -> dict[str, Any]:
"""List all Microsoft Teams and their channels the user has access to.
@ -23,63 +42,66 @@ def create_list_teams_channels_tool(
Dictionary with status and a list of teams, each containing
team_id, team_name, and a list of channels (id, name).
"""
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {"status": "error", "message": "Teams tool not properly configured."}
try:
connector = await get_teams_connector(db_session, search_space_id, user_id)
if not connector:
return {"status": "error", "message": "No Teams connector found."}
token = await get_access_token(db_session, connector)
headers = {"Authorization": f"Bearer {token}"}
async with httpx.AsyncClient(timeout=20.0) as client:
teams_resp = await client.get(
f"{GRAPH_API}/me/joinedTeams", headers=headers
async with async_session_maker() as db_session:
connector = await get_teams_connector(
db_session, search_space_id, user_id
)
if not connector:
return {"status": "error", "message": "No Teams connector found."}
if teams_resp.status_code == 401:
return {
"status": "auth_error",
"message": "Teams token expired. Please re-authenticate.",
"connector_type": "teams",
}
if teams_resp.status_code != 200:
return {
"status": "error",
"message": f"Graph API error: {teams_resp.status_code}",
}
token = await get_access_token(db_session, connector)
headers = {"Authorization": f"Bearer {token}"}
teams_data = teams_resp.json().get("value", [])
result_teams = []
async with httpx.AsyncClient(timeout=20.0) as client:
for team in teams_data:
team_id = team["id"]
ch_resp = await client.get(
f"{GRAPH_API}/teams/{team_id}/channels",
headers=headers,
)
channels = []
if ch_resp.status_code == 200:
channels = [
{"id": ch["id"], "name": ch.get("displayName", "")}
for ch in ch_resp.json().get("value", [])
]
result_teams.append(
{
"team_id": team_id,
"team_name": team.get("displayName", ""),
"channels": channels,
}
async with httpx.AsyncClient(timeout=20.0) as client:
teams_resp = await client.get(
f"{GRAPH_API}/me/joinedTeams", headers=headers
)
return {
"status": "success",
"teams": result_teams,
"total_teams": len(result_teams),
}
if teams_resp.status_code == 401:
return {
"status": "auth_error",
"message": "Teams token expired. Please re-authenticate.",
"connector_type": "teams",
}
if teams_resp.status_code != 200:
return {
"status": "error",
"message": f"Graph API error: {teams_resp.status_code}",
}
teams_data = teams_resp.json().get("value", [])
result_teams = []
async with httpx.AsyncClient(timeout=20.0) as client:
for team in teams_data:
team_id = team["id"]
ch_resp = await client.get(
f"{GRAPH_API}/teams/{team_id}/channels",
headers=headers,
)
channels = []
if ch_resp.status_code == 200:
channels = [
{"id": ch["id"], "name": ch.get("displayName", "")}
for ch in ch_resp.json().get("value", [])
]
result_teams.append(
{
"team_id": team_id,
"team_name": team.get("displayName", ""),
"channels": channels,
}
)
return {
"status": "success",
"teams": result_teams,
"total_teams": len(result_teams),
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -5,6 +5,8 @@ import httpx
from langchain_core.tools import tool
from sqlalchemy.ext.asyncio import AsyncSession
from app.db import async_session_maker
from ._auth import GRAPH_API, get_access_token, get_teams_connector
logger = logging.getLogger(__name__)
@ -15,6 +17,23 @@ def create_read_teams_messages_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the read_teams_messages tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured read_teams_messages tool
"""
del db_session # per-call session — see docstring
@tool
async def read_teams_messages(
team_id: str,
@ -32,65 +51,68 @@ def create_read_teams_messages_tool(
Dictionary with status and a list of messages including
id, sender, content, timestamp.
"""
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {"status": "error", "message": "Teams tool not properly configured."}
limit = min(limit, 50)
try:
connector = await get_teams_connector(db_session, search_space_id, user_id)
if not connector:
return {"status": "error", "message": "No Teams connector found."}
token = await get_access_token(db_session, connector)
async with httpx.AsyncClient(timeout=20.0) as client:
resp = await client.get(
f"{GRAPH_API}/teams/{team_id}/channels/{channel_id}/messages",
headers={"Authorization": f"Bearer {token}"},
params={"$top": limit},
async with async_session_maker() as db_session:
connector = await get_teams_connector(
db_session, search_space_id, user_id
)
if not connector:
return {"status": "error", "message": "No Teams connector found."}
if resp.status_code == 401:
return {
"status": "auth_error",
"message": "Teams token expired. Please re-authenticate.",
"connector_type": "teams",
}
if resp.status_code == 403:
return {
"status": "error",
"message": "Insufficient permissions to read this channel.",
}
if resp.status_code != 200:
return {
"status": "error",
"message": f"Graph API error: {resp.status_code}",
}
token = await get_access_token(db_session, connector)
raw_msgs = resp.json().get("value", [])
messages = []
for m in raw_msgs:
sender = m.get("from", {})
user_info = sender.get("user", {}) if sender else {}
body = m.get("body", {})
messages.append(
{
"id": m.get("id"),
"sender": user_info.get("displayName", "Unknown"),
"content": body.get("content", ""),
"content_type": body.get("contentType", "text"),
"timestamp": m.get("createdDateTime", ""),
async with httpx.AsyncClient(timeout=20.0) as client:
resp = await client.get(
f"{GRAPH_API}/teams/{team_id}/channels/{channel_id}/messages",
headers={"Authorization": f"Bearer {token}"},
params={"$top": limit},
)
if resp.status_code == 401:
return {
"status": "auth_error",
"message": "Teams token expired. Please re-authenticate.",
"connector_type": "teams",
}
if resp.status_code == 403:
return {
"status": "error",
"message": "Insufficient permissions to read this channel.",
}
if resp.status_code != 200:
return {
"status": "error",
"message": f"Graph API error: {resp.status_code}",
}
)
return {
"status": "success",
"team_id": team_id,
"channel_id": channel_id,
"messages": messages,
"total": len(messages),
}
raw_msgs = resp.json().get("value", [])
messages = []
for m in raw_msgs:
sender = m.get("from", {})
user_info = sender.get("user", {}) if sender else {}
body = m.get("body", {})
messages.append(
{
"id": m.get("id"),
"sender": user_info.get("displayName", "Unknown"),
"content": body.get("content", ""),
"content_type": body.get("contentType", "text"),
"timestamp": m.get("createdDateTime", ""),
}
)
return {
"status": "success",
"team_id": team_id,
"channel_id": channel_id,
"messages": messages,
"total": len(messages),
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -6,6 +6,7 @@ from langchain_core.tools import tool
from sqlalchemy.ext.asyncio import AsyncSession
from app.agents.new_chat.tools.hitl import request_approval
from app.db import async_session_maker
from ._auth import GRAPH_API, get_access_token, get_teams_connector
@ -17,6 +18,23 @@ def create_send_teams_message_tool(
search_space_id: int | None = None,
user_id: str | None = None,
):
"""
Factory function to create the send_teams_message tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
Args:
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
Returns:
Configured send_teams_message tool
"""
del db_session # per-call session — see docstring
@tool
async def send_teams_message(
team_id: str,
@ -39,70 +57,73 @@ def create_send_teams_message_tool(
IMPORTANT:
- If status is "rejected", the user explicitly declined. Do NOT retry.
"""
if db_session is None or search_space_id is None or user_id is None:
if search_space_id is None or user_id is None:
return {"status": "error", "message": "Teams tool not properly configured."}
try:
connector = await get_teams_connector(db_session, search_space_id, user_id)
if not connector:
return {"status": "error", "message": "No Teams connector found."}
async with async_session_maker() as db_session:
connector = await get_teams_connector(
db_session, search_space_id, user_id
)
if not connector:
return {"status": "error", "message": "No Teams connector found."}
result = request_approval(
action_type="teams_send_message",
tool_name="send_teams_message",
params={
"team_id": team_id,
"channel_id": channel_id,
"content": content,
},
context={"connector_id": connector.id},
)
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Message was not sent.",
}
final_content = result.params.get("content", content)
final_team = result.params.get("team_id", team_id)
final_channel = result.params.get("channel_id", channel_id)
token = await get_access_token(db_session, connector)
async with httpx.AsyncClient(timeout=20.0) as client:
resp = await client.post(
f"{GRAPH_API}/teams/{final_team}/channels/{final_channel}/messages",
headers={
"Authorization": f"Bearer {token}",
"Content-Type": "application/json",
result = request_approval(
action_type="teams_send_message",
tool_name="send_teams_message",
params={
"team_id": team_id,
"channel_id": channel_id,
"content": content,
},
json={"body": {"content": final_content}},
context={"connector_id": connector.id},
)
if resp.status_code == 401:
return {
"status": "auth_error",
"message": "Teams token expired. Please re-authenticate.",
"connector_type": "teams",
}
if resp.status_code == 403:
return {
"status": "insufficient_permissions",
"message": "Missing ChannelMessage.Send permission. Please re-authenticate with updated scopes.",
}
if resp.status_code not in (200, 201):
return {
"status": "error",
"message": f"Graph API error: {resp.status_code}{resp.text[:200]}",
}
if result.rejected:
return {
"status": "rejected",
"message": "User declined. Message was not sent.",
}
msg_data = resp.json()
return {
"status": "success",
"message_id": msg_data.get("id"),
"message": "Message sent to Teams channel.",
}
final_content = result.params.get("content", content)
final_team = result.params.get("team_id", team_id)
final_channel = result.params.get("channel_id", channel_id)
token = await get_access_token(db_session, connector)
async with httpx.AsyncClient(timeout=20.0) as client:
resp = await client.post(
f"{GRAPH_API}/teams/{final_team}/channels/{final_channel}/messages",
headers={
"Authorization": f"Bearer {token}",
"Content-Type": "application/json",
},
json={"body": {"content": final_content}},
)
if resp.status_code == 401:
return {
"status": "auth_error",
"message": "Teams token expired. Please re-authenticate.",
"connector_type": "teams",
}
if resp.status_code == 403:
return {
"status": "insufficient_permissions",
"message": "Missing ChannelMessage.Send permission. Please re-authenticate with updated scopes.",
}
if resp.status_code not in (200, 201):
return {
"status": "error",
"message": f"Graph API error: {resp.status_code}{resp.text[:200]}",
}
msg_data = resp.json()
return {
"status": "success",
"message_id": msg_data.get("id"),
"message": "Message sent to Teams channel.",
}
except Exception as e:
from langgraph.errors import GraphInterrupt

View file

@ -26,7 +26,7 @@ from langchain_core.tools import tool
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.db import SearchSpace, User
from app.db import SearchSpace, User, async_session_maker
logger = logging.getLogger(__name__)
@ -295,6 +295,25 @@ def create_update_memory_tool(
db_session: AsyncSession,
llm: Any | None = None,
):
"""Factory function to create the user-memory update tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
The session's bound ``commit``/``rollback`` methods are captured at
call time, after ``async with`` has bound ``db_session`` locally.
Args:
user_id: ID of the user whose memory document is being updated.
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
llm: Optional LLM for the forced-rewrite path.
Returns:
Configured update_memory tool for the user-memory scope.
"""
del db_session # per-call session — see docstring
uid = UUID(user_id) if isinstance(user_id, str) else user_id
@tool
@ -311,26 +330,26 @@ def create_update_memory_tool(
updated_memory: The FULL updated markdown document (not a diff).
"""
try:
result = await db_session.execute(select(User).where(User.id == uid))
user = result.scalars().first()
if not user:
return {"status": "error", "message": "User not found."}
async with async_session_maker() as db_session:
result = await db_session.execute(select(User).where(User.id == uid))
user = result.scalars().first()
if not user:
return {"status": "error", "message": "User not found."}
old_memory = user.memory_md
old_memory = user.memory_md
return await _save_memory(
updated_memory=updated_memory,
old_memory=old_memory,
llm=llm,
apply_fn=lambda content: setattr(user, "memory_md", content),
commit_fn=db_session.commit,
rollback_fn=db_session.rollback,
label="memory",
scope="user",
)
return await _save_memory(
updated_memory=updated_memory,
old_memory=old_memory,
llm=llm,
apply_fn=lambda content: setattr(user, "memory_md", content),
commit_fn=db_session.commit,
rollback_fn=db_session.rollback,
label="memory",
scope="user",
)
except Exception as e:
logger.exception("Failed to update user memory: %s", e)
await db_session.rollback()
return {
"status": "error",
"message": f"Failed to update memory: {e}",
@ -344,6 +363,27 @@ def create_update_team_memory_tool(
db_session: AsyncSession,
llm: Any | None = None,
):
"""Factory function to create the team-memory update tool.
The tool acquires its own short-lived ``AsyncSession`` per call via
:data:`async_session_maker` so the closure is safe to share across
HTTP requests by the compiled-agent cache. Capturing a per-request
session here would surface stale/closed sessions on cache hits.
The session's bound ``commit``/``rollback`` methods are captured at
call time, after ``async with`` has bound ``db_session`` locally.
Args:
search_space_id: ID of the search space whose team memory is being
updated.
db_session: Reserved for registry compatibility. Per-call sessions
are opened via :data:`async_session_maker` inside the tool body.
llm: Optional LLM for the forced-rewrite path.
Returns:
Configured update_memory tool for the team-memory scope.
"""
del db_session # per-call session — see docstring
@tool
async def update_memory(updated_memory: str) -> dict[str, Any]:
"""Update the team's shared memory document for this search space.
@ -359,28 +399,30 @@ def create_update_team_memory_tool(
updated_memory: The FULL updated markdown document (not a diff).
"""
try:
result = await db_session.execute(
select(SearchSpace).where(SearchSpace.id == search_space_id)
)
space = result.scalars().first()
if not space:
return {"status": "error", "message": "Search space not found."}
async with async_session_maker() as db_session:
result = await db_session.execute(
select(SearchSpace).where(SearchSpace.id == search_space_id)
)
space = result.scalars().first()
if not space:
return {"status": "error", "message": "Search space not found."}
old_memory = space.shared_memory_md
old_memory = space.shared_memory_md
return await _save_memory(
updated_memory=updated_memory,
old_memory=old_memory,
llm=llm,
apply_fn=lambda content: setattr(space, "shared_memory_md", content),
commit_fn=db_session.commit,
rollback_fn=db_session.rollback,
label="team memory",
scope="team",
)
return await _save_memory(
updated_memory=updated_memory,
old_memory=old_memory,
llm=llm,
apply_fn=lambda content: setattr(
space, "shared_memory_md", content
),
commit_fn=db_session.commit,
rollback_fn=db_session.rollback,
label="team memory",
scope="team",
)
except Exception as e:
logger.exception("Failed to update team memory: %s", e)
await db_session.rollback()
return {
"status": "error",
"message": f"Failed to update team memory: {e}",