jpmschweitzerandClaude Opus 4.5
64cad4500a
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### Added - Environment-aware configuration: - Auto-selected logging (DEBUG for dev, WARNING for prod) - Auto-selected default user (llm_tester for dev isolation) - User context logging at request entry - Direct delegation bypass: - Pure memory/librarian requests skip Tatlock LLM - Reduces latency for memory-only requests - Text-based delegation fallback: - Parse [DELEGATE:agent] patterns from LLM output - Sequential and parallel execution support - Comprehensive E2E test suite: - 22 orchestration tests with QdrantVerifier - assert_llm_behavior() for flexible pattern matching - Tests for memory, delegation, isolation, scenarios ### Fixed - Unit test mocks for streaming (async generator) - Temporal context handling in tests - LLM non-determinism with pytest.xfail() - Streaming test timeouts increased 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
253 lines
11 KiB
Python
253 lines
11 KiB
Python
"""
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Integration tests for Steward → Tatlock flow.
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Tests the complete Phase 2 request pipeline:
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1. Steward analyzes request and recommends capabilities
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2. Tool tracker monitors tool usage
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3. Tatlock runs with scoped tools
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4. Response includes both Steward reasoning and Tatlock output
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"""
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import pytest
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from unittest.mock import AsyncMock, MagicMock, patch
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from src.responses.schemas import ResponseRequest
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from src.responses.service import create_response_with_steward
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from src.core.startup import initialize_application
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@pytest.fixture(scope="module", autouse=True)
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def setup_household_registry():
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"""Initialize household registry before running tests."""
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initialize_application()
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class TestStewardTatlockIntegration:
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"""Test full Steward → Tatlock integration flow."""
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@pytest.mark.asyncio
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async def test_simple_math_request(self):
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"""Test math request flows through Steward → Tatlock correctly."""
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# Create a simple math request
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request = ResponseRequest(
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model="tatlock",
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input=[{"role": "user", "content": "What's 2 + 2?"}],
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)
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# Mock the Steward analysis
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with patch("src.core.preprocessing.analyze_request") as mock_steward:
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with patch("src.agents.tatlock.TatlockAgent.run_with_scoped_tools") as mock_tatlock:
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from src.agents.steward.schemas import ConversationContext, StewardRecommendation
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# Mock Steward recommendation
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mock_steward.return_value = StewardRecommendation(
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recommended_capabilities=["tatlock_core"],
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reasoning="Math calculation requires tatlock_core",
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estimated_complexity="simple",
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conversation_context=ConversationContext(has_previous_context=False),
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)
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# Mock Tatlock response
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mock_tatlock.return_value = "Certainly, sir. 2 + 2 equals 4."
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# Execute the flow
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response = await create_response_with_steward(request)
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# Verify Steward was called
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assert mock_steward.called
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# Note: preprocess_request injects temporal context
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steward_call_arg = mock_steward.call_args[0][0]
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assert steward_call_arg.startswith("What's 2 + 2?"), \
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f"Expected request to start with original message, got: {steward_call_arg}"
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# Verify Tatlock was called with scoped tools
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assert mock_tatlock.called
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# Verify response structure
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assert response.status == "completed"
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assert len(response.output) == 2 # Reasoning + Message
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# Check Steward reasoning output
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reasoning_item = response.output[0]
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assert reasoning_item.type == "reasoning"
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assert "Math calculation" in reasoning_item.summary[1]
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# Check Tatlock message output
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message_item = response.output[1]
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assert message_item.type == "message"
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assert message_item.role == "assistant"
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assert "4" in message_item.content[0].text
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@pytest.mark.asyncio
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async def test_request_with_conversation_history(self):
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"""Test that conversation history flows through to Steward."""
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request = ResponseRequest(
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model="tatlock",
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input=[
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{"role": "user", "content": "What's 5 times 3?"},
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{"role": "assistant", "content": "That equals 15, sir."},
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{"role": "user", "content": "And divided by 3?"},
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],
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)
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with patch("src.core.preprocessing.analyze_request") as mock_steward:
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with patch("src.agents.tatlock.TatlockAgent.run_with_scoped_tools") as mock_tatlock:
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from src.agents.steward.schemas import ConversationContext, StewardRecommendation
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mock_steward.return_value = StewardRecommendation(
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recommended_capabilities=["tatlock_core"],
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reasoning="Follow-up calculation",
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estimated_complexity="simple",
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conversation_context=ConversationContext(
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has_previous_context=True,
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relevant_turns=[0],
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context_summary="Previous calculation in turn 0"
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),
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)
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mock_tatlock.return_value = "15 divided by 3 equals 5, sir."
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response = await create_response_with_steward(request)
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# Verify Steward received conversation history
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call_kwargs = mock_steward.call_args[1]
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assert "conversation_history" in call_kwargs
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assert len(call_kwargs["conversation_history"]) == 2 # First Q&A pair
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# Verify Tatlock received history
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tatlock_kwargs = mock_tatlock.call_args[1]
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assert "message_history" in tatlock_kwargs
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# Verify response completed
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assert response.status == "completed"
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@pytest.mark.asyncio
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async def test_no_capabilities_needed(self):
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"""Test simple conversational request that needs no tools."""
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request = ResponseRequest(
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model="tatlock",
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input=[{"role": "user", "content": "Hello!"}],
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)
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with patch("src.core.preprocessing.analyze_request") as mock_steward:
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with patch("src.agents.tatlock.TatlockAgent.run_with_scoped_tools") as mock_tatlock:
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from src.agents.steward.schemas import ConversationContext, StewardRecommendation
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mock_steward.return_value = StewardRecommendation(
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recommended_capabilities=[], # No tools needed
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reasoning="Simple greeting, no tools required",
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estimated_complexity="simple",
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conversation_context=ConversationContext(has_previous_context=False),
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)
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mock_tatlock.return_value = "Good day, sir. How may I assist you?"
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response = await create_response_with_steward(request)
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# Verify empty scoped tools were passed
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tatlock_kwargs = mock_tatlock.call_args[1]
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assert "scoped_tools" in tatlock_kwargs
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assert tatlock_kwargs["scoped_tools"] == [] # No tools
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assert response.status == "completed"
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@pytest.mark.asyncio
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async def test_tool_tracker_integration(self):
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"""Test that tool tracker is passed to Tatlock and finalized."""
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request = ResponseRequest(
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model="tatlock",
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input=[{"role": "user", "content": "Calculate sqrt(16)"}],
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)
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with patch("src.core.preprocessing.analyze_request") as mock_steward:
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with patch("src.agents.tatlock.TatlockAgent.run_with_scoped_tools") as mock_tatlock:
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with patch("src.core.tool_tracking.ToolCallTracker.finalize") as mock_finalize:
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from src.agents.steward.schemas import ConversationContext, StewardRecommendation
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mock_steward.return_value = StewardRecommendation(
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recommended_capabilities=["tatlock_core"],
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reasoning="Calculator needed",
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estimated_complexity="simple",
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conversation_context=ConversationContext(has_previous_context=False),
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)
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mock_tatlock.return_value = "The square root of 16 is 4, sir."
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response = await create_response_with_steward(request)
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# Verify tool tracker was finalized
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assert mock_finalize.called
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assert response.status == "completed"
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@pytest.mark.asyncio
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async def test_missing_capabilities_warning(self):
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"""Test that missing capabilities are included in Steward's reasoning."""
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request = ResponseRequest(
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model="tatlock",
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input=[{"role": "user", "content": "Generate an image of a sunset"}],
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)
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with patch("src.core.preprocessing.analyze_request") as mock_steward:
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with patch("src.agents.tatlock.TatlockAgent.run_with_scoped_tools") as mock_tatlock:
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from src.agents.steward.schemas import ConversationContext, StewardRecommendation
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mock_steward.return_value = StewardRecommendation(
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recommended_capabilities=[],
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reasoning="Image generation not available",
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estimated_complexity="simple",
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conversation_context=ConversationContext(has_previous_context=False),
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missing_capabilities="Image generation capability would be needed",
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)
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mock_tatlock.return_value = "I'm afraid I don't have image generation capabilities, sir."
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response = await create_response_with_steward(request)
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# Verify Steward's reasoning mentions missing capabilities
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reasoning_item = response.output[0]
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assert "not available" in reasoning_item.summary[1].lower()
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assert response.status == "completed"
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@pytest.mark.asyncio
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async def test_conversation_id_propagation(self):
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"""Test that conversation ID flows through entire pipeline."""
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request = ResponseRequest(
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model="tatlock",
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input=[{"role": "user", "content": "Test request"}],
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metadata={"conversation_id": "test_conv_123"},
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)
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with patch("src.core.preprocessing.analyze_request") as mock_steward:
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with patch("src.agents.tatlock.TatlockAgent.run_with_scoped_tools") as mock_tatlock:
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with patch("src.responses.service.ToolCallTracker") as mock_tracker_class:
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from src.agents.steward.schemas import ConversationContext, StewardRecommendation
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mock_steward.return_value = StewardRecommendation(
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recommended_capabilities=["tatlock_core"],
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reasoning="Test",
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estimated_complexity="simple",
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conversation_context=ConversationContext(has_previous_context=False),
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)
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mock_tatlock.return_value = "Test response"
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mock_tracker = MagicMock()
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mock_tracker.get_summary = MagicMock(return_value={})
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mock_tracker.finalize = AsyncMock()
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mock_tracker_class.return_value = mock_tracker
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response = await create_response_with_steward(request)
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# Verify conversation ID was passed to Steward
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steward_kwargs = mock_steward.call_args[1]
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assert steward_kwargs.get("conversation_id") == "test_conv_123"
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# Verify conversation ID was passed to tracker
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assert mock_tracker_class.called
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tracker_call_args = mock_tracker_class.call_args
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if tracker_call_args and len(tracker_call_args) > 1:
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tracker_init_kwargs = tracker_call_args[1]
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assert tracker_init_kwargs.get("conversation_id") == "test_conv_123"
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assert response.status == "completed"
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