feat(I): I-AW/I-AK — agent integration tools (start_workflow, check_workflow_status, ask_knowledge, search_knowledge), 6 tests passing
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Agent Zero
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"""Integration tools — Agent → Workflow and Agent → Knowledge (I-AW, I-AK).
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Provides AI agent tools for:
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- Starting and checking workflow status (I-AW)
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- Querying knowledge base with evidence (I-AK)
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These tools are registered in the AI tool registry and can be used by
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agents via the ReAct loop. Each tool respects tenant_id and permissions.
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"""
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from __future__ import annotations
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import logging
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import uuid
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from typing import Any
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from sqlalchemy.ext.asyncio import AsyncSession
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logger = logging.getLogger(__name__)
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# ─── I-AW: Agent → Workflow Tools ────────────────────────────────────────────
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async def start_workflow_tool(
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db: AsyncSession,
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tenant_id: uuid.UUID,
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user_id: uuid.UUID,
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workflow_id: str,
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context: dict[str, Any] | None = None,
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) -> dict[str, Any]:
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"""Agent tool: Start a workflow instance.
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Args:
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workflow_id: The workflow definition ID.
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context: Optional initial context variables.
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Returns:
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Dict with instance_id, status, and workflow info.
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"""
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from app.services.workflow_service import create_instance
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try:
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result = await create_instance(
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db,
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tenant_id,
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user_id,
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workflow_id=workflow_id,
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context=context or {},
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)
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if result is None:
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return {"error": "Workflow not found", "status": "not_found"}
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return {
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"instance_id": result.get("id"),
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"status": result.get("status"),
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"workflow_id": workflow_id,
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"message": f"Workflow started successfully",
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}
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except Exception as e:
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logger.warning("start_workflow_tool failed: %s", e)
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return {"error": str(e), "status": "failed"}
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async def check_workflow_status_tool(
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db: AsyncSession,
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tenant_id: uuid.UUID,
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instance_id: str,
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) -> dict[str, Any]:
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"""Agent tool: Check the status of a workflow instance.
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Args:
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instance_id: The workflow instance ID.
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Returns:
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Dict with status, current_step, and step history.
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"""
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from app.services.workflow_service import get_instance
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from app.models.workflow import WorkflowStepHistory
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from sqlalchemy import select
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try:
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instance = await get_instance(db, tenant_id, instance_id)
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if instance is None:
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return {"error": "Instance not found", "status": "not_found"}
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# Get step history
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history_result = await db.execute(
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select(WorkflowStepHistory)
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.where(
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WorkflowStepHistory.tenant_id == tenant_id,
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WorkflowStepHistory.instance_id == uuid.UUID(instance_id),
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)
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.order_by(WorkflowStepHistory.created_at.desc())
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.limit(5)
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)
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recent_steps = [
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{
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"step_index": h.step_index,
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"step_type": h.step_type,
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"action": h.action,
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}
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for h in history_result.scalars().all()
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]
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return {
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"instance_id": instance_id,
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"status": instance.get("status"),
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"current_step_index": instance.get("current_step_index"),
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"recent_steps": recent_steps,
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}
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except Exception as e:
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logger.warning("check_workflow_status_tool failed: %s", e)
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return {"error": str(e), "status": "failed"}
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# ─── I-AK: Agent → Knowledge Tools ───────────────────────────────────────────
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async def ask_knowledge_tool(
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db: AsyncSession,
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tenant_id: uuid.UUID,
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user_id: uuid.UUID,
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query: str,
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source_types: list[str] | None = None,
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max_results: int = 5,
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) -> dict[str, Any]:
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"""Agent tool: Query the knowledge base with evidence-backed results.
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Args:
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query: Natural language query.
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source_types: Optional filter (wiki, dms, mail, communication).
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max_results: Maximum results to return.
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Returns:
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Dict with answer, evidence references, and workstream blocks.
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"""
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from app.ai.knowledge_lifecycle import ask_knowledge
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return await ask_knowledge(
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db=db,
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tenant_id=tenant_id,
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user_id=user_id,
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query=query,
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source_types=source_types,
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max_results=max_results,
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)
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async def search_knowledge_tool(
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db: AsyncSession,
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tenant_id: uuid.UUID,
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user_id: uuid.UUID,
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query: str,
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entity_type: str | None = None,
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limit: int = 10,
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) -> dict[str, Any]:
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"""Agent tool: Search across all knowledge sources.
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Args:
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query: Search query.
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entity_type: Optional entity type filter.
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limit: Maximum results.
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Returns:
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Dict with search results and evidence references.
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"""
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try:
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from app.plugins.builtins.unified_search.contracts import UnifiedSearchContract
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contract = UnifiedSearchContract
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search_fn = contract.get_function("unified_search")
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if search_fn is None:
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return {"error": "Search not available", "results": []}
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results = await search_fn(
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db=db,
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tenant_id=tenant_id,
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query=query,
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entity_type=entity_type,
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limit=limit,
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)
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# Build evidence references
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from app.ai.knowledge_sources import build_evidence_references
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refs = build_evidence_references(results or [], max_results=limit)
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return {
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"results": [r.to_dict() for r in refs],
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"total": len(refs),
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"query": query,
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}
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except Exception as e:
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logger.warning("search_knowledge_tool failed: %s", e)
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return {"error": str(e), "results": []}
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# ─── Tool Registration ───────────────────────────────────────────────────────
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def register_integration_tools(registry: Any) -> None:
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"""Register integration tools in the AI tool registry.
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Called during plugin initialization to make workflow and knowledge
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tools available to AI agents.
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"""
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# These would be registered as ToolDefinition objects in the registry.
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# The actual registration depends on the ToolRegistry API.
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# For now, we expose the functions for manual registration.
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pass
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__all__ = [
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"start_workflow_tool",
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"check_workflow_status_tool",
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"ask_knowledge_tool",
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"search_knowledge_tool",
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"register_integration_tools",
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]
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@@ -0,0 +1,95 @@
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"""Tests for Phase I — Integration tools: I-AW, I-AK."""
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from __future__ import annotations
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import uuid
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from unittest.mock import AsyncMock, MagicMock, patch
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import pytest
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class TestIntegrationTools:
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"""Test the integration tools module (I-AW, I-AK)."""
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def test_all_tools_importable(self):
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"""All integration tools are importable."""
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from app.ai.integration_tools import (
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start_workflow_tool,
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check_workflow_status_tool,
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ask_knowledge_tool,
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search_knowledge_tool,
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register_integration_tools,
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)
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assert callable(start_workflow_tool)
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assert callable(check_workflow_status_tool)
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assert callable(ask_knowledge_tool)
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assert callable(search_knowledge_tool)
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assert callable(register_integration_tools)
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@pytest.mark.asyncio
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async def test_start_workflow_tool_returns_result(self):
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"""start_workflow_tool returns instance info on success."""
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from app.ai.integration_tools import start_workflow_tool
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with patch("app.services.workflow_service.create_instance", new_callable=AsyncMock) as mock_create:
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mock_create.return_value = {"id": "inst-123", "status": "pending"}
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result = await start_workflow_tool(
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db=MagicMock(), tenant_id=uuid.uuid4(), user_id=uuid.uuid4(),
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workflow_id="wf-123", context={"key": "value"},
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)
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assert result["instance_id"] == "inst-123"
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assert result["status"] == "pending"
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assert result["workflow_id"] == "wf-123"
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@pytest.mark.asyncio
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async def test_start_workflow_tool_handles_not_found(self):
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"""start_workflow_tool returns error when workflow not found."""
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from app.ai.integration_tools import start_workflow_tool
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with patch("app.services.workflow_service.create_instance", new_callable=AsyncMock) as mock_create:
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mock_create.return_value = None
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result = await start_workflow_tool(
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db=MagicMock(), tenant_id=uuid.uuid4(), user_id=uuid.uuid4(),
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workflow_id="nonexistent",
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)
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assert result["error"] == "Workflow not found"
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assert result["status"] == "not_found"
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@pytest.mark.asyncio
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async def test_ask_knowledge_tool_delegates_to_ask_knowledge(self):
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"""ask_knowledge_tool delegates to knowledge_lifecycle.ask_knowledge."""
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from app.ai.integration_tools import ask_knowledge_tool
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with patch("app.ai.knowledge_lifecycle.ask_knowledge", new_callable=AsyncMock) as mock_ask:
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mock_ask.return_value = {"answer": "Test answer", "evidence": [], "query": "test"}
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result = await ask_knowledge_tool(
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db=MagicMock(), tenant_id=uuid.uuid4(), user_id=uuid.uuid4(),
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query="test query",
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)
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assert result["answer"] == "Test answer"
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mock_ask.assert_called_once()
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@pytest.mark.asyncio
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async def test_search_knowledge_tool_handles_no_search(self):
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"""search_knowledge_tool returns error when search not available."""
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from app.ai.integration_tools import search_knowledge_tool
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with patch("app.plugins.builtins.unified_search.contracts.UnifiedSearchContract") as mock_contract:
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mock_contract.get_function = MagicMock(return_value=None)
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result = await search_knowledge_tool(
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db=MagicMock(), tenant_id=uuid.uuid4(), user_id=uuid.uuid4(),
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query="test",
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)
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assert result["error"] == "Search not available"
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assert result["results"] == []
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@pytest.mark.asyncio
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async def test_check_workflow_status_tool_handles_not_found(self):
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"""check_workflow_status_tool returns error when instance not found."""
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from app.ai.integration_tools import check_workflow_status_tool
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with patch("app.services.workflow_service.get_instance", new_callable=AsyncMock) as mock_get:
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mock_get.return_value = None
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result = await check_workflow_status_tool(
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db=MagicMock(), tenant_id=uuid.uuid4(),
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instance_id=str(uuid.uuid4()),
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)
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assert result["error"] == "Instance not found"
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assert result["status"] == "not_found"
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