feat(automations): wire agent_task to multi_agent_chat with auto-approve loop

surfsense_backend/app/automations/actions/agent_task/dependencies.py

@@ -0,0 +1,58 @@
+"""Build the per-invocation dependencies the multi_agent_chat factory needs."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Any
+
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from app.tasks.chat.streaming.flows.shared.llm_bundle import load_llm_bundle
+from app.tasks.chat.streaming.flows.shared.pre_stream_setup import (
+    get_chat_checkpointer,
+    setup_connector_and_firecrawl,
+)
+
+
+class DependencyError(Exception):
+    """An external dependency (LLM config, checkpointer, ...) refused to load."""
+
+
+@dataclass(frozen=True, slots=True)
+class AgentDependencies:
+    """Everything ``create_multi_agent_chat_deep_agent`` needs from the environment."""
+
+    llm: Any
+    agent_config: Any
+    connector_service: Any
+    firecrawl_api_key: str | None
+    checkpointer: Any
+
+
+async def build_dependencies(
+    *,
+    session: AsyncSession,
+    search_space_id: int,
+) -> AgentDependencies:
+    """Load the LLM bundle, connector service, and checkpointer for one invoke.
+
+    Uses the search space's default LLM config (``config_id=-1``). Per-step
+    model overrides land in a future iteration alongside the ``model`` param.
+    """
+    llm, agent_config, err = await load_llm_bundle(
+        session, config_id=-1, search_space_id=search_space_id
+    )
+    if err is not None or llm is None:
+        raise DependencyError(err or "failed to load default LLM config")
+
+    connector_service, firecrawl_api_key = await setup_connector_and_firecrawl(
+        session, search_space_id=search_space_id
+    )
+    checkpointer = await get_chat_checkpointer()
+    return AgentDependencies(
+        llm=llm,
+        agent_config=agent_config,
+        connector_service=connector_service,
+        firecrawl_api_key=firecrawl_api_key,
+        checkpointer=checkpointer,
+    )