Update tests for state deltas
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parent
e325962fcc
commit
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1 changed files with 76 additions and 37 deletions
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@ -1,6 +1,7 @@
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from pathlib import Path
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from pathlib import Path
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import pytest
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import pytest
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from ag_ui.core import StateDeltaEvent, StateSnapshotEvent
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from haiku.rag.agents.chat import (
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from haiku.rag.agents.chat import (
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AGUI_STATE_KEY,
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AGUI_STATE_KEY,
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@ -10,12 +11,29 @@ from haiku.rag.agents.chat import (
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SearchAgent,
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SearchAgent,
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create_chat_agent,
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create_chat_agent,
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)
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)
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from haiku.rag.agents.chat.context import get_cached_session_context
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from haiku.rag.agents.chat.state import MAX_QA_HISTORY
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from haiku.rag.agents.chat.state import MAX_QA_HISTORY
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from haiku.rag.agents.research.models import Citation
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from haiku.rag.agents.research.models import Citation
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from haiku.rag.client import HaikuRAG
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from haiku.rag.client import HaikuRAG
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from haiku.rag.config import Config
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from haiku.rag.config import Config
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def extract_state_from_result(result, state_key: str = AGUI_STATE_KEY) -> dict | None:
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"""Extract emitted state from agent result's tool return metadata."""
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for message in result.all_messages():
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if hasattr(message, "parts"):
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for part in message.parts:
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if hasattr(part, "metadata") and part.metadata:
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for meta in part.metadata:
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if isinstance(meta, StateSnapshotEvent):
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return meta.snapshot.get(state_key)
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elif isinstance(meta, StateDeltaEvent):
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# For delta, we'd need to apply the patch
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# For now, return None and let caller handle
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pass
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return None
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@pytest.fixture(scope="module")
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@pytest.fixture(scope="module")
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def vcr_cassette_dir():
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def vcr_cassette_dir():
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return str(Path(__file__).parent.parent.parent / "cassettes" / "test_chat_agent")
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return str(Path(__file__).parent.parent.parent / "cassettes" / "test_chat_agent")
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@ -449,11 +467,12 @@ async def test_chat_agent_ask_adds_citations(allow_model_requests, temp_db_path)
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)
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)
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agent = create_chat_agent(Config)
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agent = create_chat_agent(Config)
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session_state = ChatSessionState(session_id="test-citations")
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# Pass session_state=None so agent creates fresh state with UUID
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deps = ChatDeps(
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deps = ChatDeps(
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client=client,
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client=client,
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config=Config,
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config=Config,
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session_state=session_state,
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session_state=None,
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state_key=AGUI_STATE_KEY,
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)
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)
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# Ask a question that should use the ask tool with citations
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# Ask a question that should use the ask tool with citations
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@ -463,8 +482,12 @@ async def test_chat_agent_ask_adds_citations(allow_model_requests, temp_db_path)
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)
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)
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assert result.output is not None
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assert result.output is not None
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# Extract emitted state from result metadata
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emitted_state = extract_state_from_result(result)
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assert emitted_state is not None
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# The qa_history should have been updated with the new Q&A
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# The qa_history should have been updated with the new Q&A
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assert len(session_state.qa_history) >= 1
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assert len(emitted_state.get("qa_history", [])) >= 1
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@pytest.mark.asyncio
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@pytest.mark.asyncio
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@ -483,16 +506,14 @@ async def test_chat_agent_ask_triggers_background_summarization(
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)
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)
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agent = create_chat_agent(Config)
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agent = create_chat_agent(Config)
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session_state = ChatSessionState(session_id="test-summarization")
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# Pass session_state=None so agent creates fresh state with UUID
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deps = ChatDeps(
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deps = ChatDeps(
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client=client,
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client=client,
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config=Config,
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config=Config,
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session_state=session_state,
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session_state=None,
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state_key=AGUI_STATE_KEY,
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)
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)
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# Initially no session_context
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assert session_state.session_context is None
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# Ask a question
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# Ask a question
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result = await agent.run(
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result = await agent.run(
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"What is the highest count class in the DocLayNet dataset?",
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"What is the highest count class in the DocLayNet dataset?",
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@ -500,19 +521,27 @@ async def test_chat_agent_ask_triggers_background_summarization(
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)
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)
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assert result.output is not None
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assert result.output is not None
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assert len(session_state.qa_history) >= 1
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# Extract emitted state to get the session_id
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emitted_state = extract_state_from_result(result)
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assert emitted_state is not None
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session_id = emitted_state.get("session_id")
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assert session_id is not None
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assert len(emitted_state.get("qa_history", [])) >= 1
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# Wait for background task to complete
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# Wait for background task to complete
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# The task should update session_state.session_context
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# The task caches session_context server-side
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cached_context = None
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for _ in range(50): # Wait up to 5 seconds
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for _ in range(50): # Wait up to 5 seconds
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if session_state.session_context is not None:
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cached_context = get_cached_session_context(session_id)
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if cached_context is not None:
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break
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break
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await asyncio.sleep(0.1)
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await asyncio.sleep(0.1)
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# Verify session_context was populated by background task
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# Verify session_context was populated by background task
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assert session_state.session_context is not None
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assert cached_context is not None
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assert session_state.session_context.summary != ""
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assert cached_context.summary != ""
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assert session_state.session_context.last_updated is not None
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assert cached_context.last_updated is not None
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@pytest.mark.asyncio
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@pytest.mark.asyncio
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@ -536,52 +565,62 @@ async def test_chat_agent_ask_with_prior_answer_retrieval(
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)
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)
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agent = create_chat_agent(Config)
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agent = create_chat_agent(Config)
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session_state = ChatSessionState(session_id="test-prior-answers")
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# First call with no session state
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deps = ChatDeps(
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deps1 = ChatDeps(
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client=client,
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client=client,
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config=Config,
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config=Config,
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session_state=session_state,
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session_state=None,
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state_key=AGUI_STATE_KEY,
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)
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)
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# First ask - establishes qa_history
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# First ask - establishes qa_history
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result1 = await agent.run(
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result1 = await agent.run(
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"What are the class labels in DocLayNet?",
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"What are the class labels in DocLayNet?",
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deps=deps,
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deps=deps1,
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)
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)
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assert result1.output is not None
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assert result1.output is not None
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assert len(session_state.qa_history) == 1
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# First question should NOT have embedding yet (set lazily on next ask)
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# Extract emitted state from first call
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assert session_state.qa_history[0].question_embedding is None
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state1 = extract_state_from_result(result1)
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assert state1 is not None
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assert len(state1.get("qa_history", [])) == 1
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session_id = state1.get("session_id")
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assert session_id is not None
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# Wait for background summarization to complete
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# Wait for background summarization to complete
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for _ in range(50):
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for _ in range(50):
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if session_state.session_context is not None:
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if get_cached_session_context(session_id) is not None:
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break
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break
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await asyncio.sleep(0.1)
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await asyncio.sleep(0.1)
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# Create new session state from emitted state for second call
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# (simulating client sending state back to server)
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session_state2 = ChatSessionState(
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session_id=session_id,
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qa_history=[QAResponse(**qa) for qa in state1.get("qa_history", [])],
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citation_registry=state1.get("citation_registry", {}),
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)
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deps2 = ChatDeps(
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client=client,
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config=Config,
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session_state=session_state2,
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state_key=AGUI_STATE_KEY,
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)
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# Second ask - similar question triggers prior answer retrieval
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# Second ask - similar question triggers prior answer retrieval
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# This will embed the first question and compare similarity
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# This will embed the first question and compare similarity
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result2 = await agent.run(
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result2 = await agent.run(
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"Tell me about DocLayNet class labels",
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"Tell me about DocLayNet class labels",
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deps=deps,
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deps=deps2,
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)
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)
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assert result2.output is not None
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assert result2.output is not None
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# qa_history should now have 2 entries
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assert len(session_state.qa_history) == 2
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# First question should now have embedding (set during second ask's recall check)
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# The important thing is that prior answer retrieval happened
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assert session_state.qa_history[0].question_embedding is not None
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# We can verify this by checking session_state2 was used (embedding added)
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assert session_state2.qa_history[0].question_embedding is not None
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# Embedding should be a list of floats
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# Embedding should be a list of floats
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assert isinstance(session_state.qa_history[0].question_embedding, list)
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assert isinstance(session_state2.qa_history[0].question_embedding, list)
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assert len(session_state.qa_history[0].question_embedding) > 0
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assert len(session_state2.qa_history[0].question_embedding) > 0
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# Verify prior answer was reused without new searches:
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# Second answer's citations should be subset of first answer's citations
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first_chunk_ids = {c.chunk_id for c in session_state.qa_history[0].citations}
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second_chunk_ids = {c.chunk_id for c in session_state.qa_history[1].citations}
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assert second_chunk_ids <= first_chunk_ids, (
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"Second answer should reuse prior citations, not perform new searches"
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)
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def test_fifo_limit_enforcement():
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def test_fifo_limit_enforcement():
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