busya
12678c637b
### Bugfixes — Agent Chat 'Думаю' State Leak - fix(agent-chat): loadHistory() now resets streamingState/idle + cancels stale submission — prevents 'Думаю' state leak across conversation switches - fix(agent-chat): onDisconnected/onDisconnectedPermanent cascade to streamingState — prevents permanent hang on connection loss during stream - fix(agent-chat): guard on isLoadingHistory — prevents false commit of 'agent unavailable' fallback when switching conversations - fix(agent-chat): remove race in _sendNow empty-response check vs Svelte microtask (duplicate logic removed, handles correctly) - fix(stream-processor): confirm_resolved now appends msg.text to partialText instead of dropping it ### Bugfixes — Backend PDF Upload - fix(document-parser): _detect_format_by_magic() — reads file header magic bytes as fallback when Gradio loses filename - fix(document-parser): improved name extraction — tries orig_name, path stem - fix(document-parser): @RELATION AgentChatTypes -> AgentChat.Types ### HITL Flow & Agent Chat Improvements - feat(agent): HITL resume confirm/deny with userId/userJwt/envId propagation - feat(agent): confirm_required metadata fallback via aget_state() after 'Event loop is closed' error during interrupt - feat(agent): interrupt_before re-enabled via AGENT_CONFIRM_TOOLS env var - feat(frontend): debug panel with connection/stream state monitoring - feat(frontend): AgentChatModel constructor options + onBeforeSend callback - feat(frontend): crypto.randomUUID() for local conversation ID on first send ### Backend Agent Refactoring - refactor(agent): langgraph_setup — monkey-patch for PydanticSerializationError - refactor(agent): tools.py — dual identity headers, expanded tool set - refactor(agent): run.py — _find_free_port, Gradio server port fallback - refactor(agent): app.py — file size validation, message truncation, HITL path ### Frontend - feat(dashboard-hub): DashboardHubModel with filters, pagination, git actions - feat(ui): DateRangeFilter component - feat(i18n): new dashboard keys; cache tooltips fix - fix(i18n): full run tooltips — cache is NOT ignored ### Semantic Protocol - chore(agents): update all agents with canonical format - chore(skills): sync semantics-core, semantics-contracts, molecular-cot-logging ### Housekeeping - chore: remove stale semantic reports (10 files, Jan 2026) - chore: update 033-gradio-agent-chat specs, contracts, UX, tasks, tests - chore: add .agents/ directory (mirrors .opencode/ agent layouts) - chore: update run.sh with DEV_MODE, port management
185 lines
8.5 KiB
Python
185 lines
8.5 KiB
Python
# #region Test.AgentChat.LangGraph.Setup [C:3] [TYPE Module] [SEMANTICS test,agent,langgraph,setup]
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# @BRIEF Tests for agent/langgraph_setup.py — configure_from_api, create_agent.
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# @RELATION BINDS_TO -> [AgentChat.LangGraph.Setup]
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from pathlib import Path
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import sys
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sys.path.insert(0, str(Path(__file__).parent.parent.parent / "src"))
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from unittest.mock import AsyncMock, MagicMock, patch
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import pytest
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@pytest.fixture
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def anyio_backend():
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return "asyncio"
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# #region test_configure_from_api [C:2] [TYPE Function]
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# @BRIEF Test configure_from_api updates global config.
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class TestConfigureFromApi:
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def test_sets_llm_config(self):
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import src.agent.langgraph_setup as ls
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ls._llm_config = None # Reset
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ls.configure_from_api({"configured": True, "api_key": "sk-test", "default_model": "gpt-4o"})
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assert ls._llm_config is not None
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assert ls._llm_config["configured"] is True
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# Reset for other tests
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ls.configure_from_api(None)
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ls._llm_config = None
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def test_overwrites_previous_config(self):
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import src.agent.langgraph_setup as ls
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ls._llm_config = None # Reset
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ls.configure_from_api({"configured": True, "api_key": "sk-1"})
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ls.configure_from_api({"configured": False})
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assert ls._llm_config["configured"] is False
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ls._llm_config = None
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# #endregion test_configure_from_api
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# #region test_create_agent [C:2] [TYPE Function]
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# @BRIEF Test create_agent with various LLM config states.
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class TestCreateAgent:
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@pytest.mark.anyio
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async def test_creates_agent_with_api_config(self):
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import src.agent.langgraph_setup as ls
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ls._llm_config = None # Reset
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ls.configure_from_api({
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"configured": True,
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"api_key": "sk-api-config",
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"base_url": "https://custom.api.com/v1",
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"default_model": "gpt-4o-mini",
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})
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with patch("src.agent.langgraph_setup.ChatOpenAI") as mock_llm, \
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patch("src.agent.langgraph_setup.create_react_agent") as mock_create, \
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patch("src.agent.langgraph_setup._fetch_llm_config", new=AsyncMock(return_value=ls._llm_config)):
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mock_create.return_value = MagicMock()
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result = await ls.create_agent([MagicMock()])
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assert result is mock_create.return_value
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call_kwargs = mock_llm.call_args[1]
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assert call_kwargs["api_key"] == "sk-api-config"
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assert call_kwargs["base_url"] == "https://custom.api.com/v1"
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assert call_kwargs["model"] == "gpt-4o-mini"
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ls._llm_config = None
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@pytest.mark.anyio
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async def test_creates_agent_with_env_fallback(self):
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import src.agent.langgraph_setup as ls
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ls._llm_config = None # Reset
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with patch("src.agent.langgraph_setup.ChatOpenAI") as mock_llm, \
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patch("src.agent.langgraph_setup.create_react_agent") as mock_create, \
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patch("src.agent.langgraph_setup._fetch_llm_config", new=AsyncMock(return_value=None)), \
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patch("src.agent.langgraph_setup.os.getenv") as mock_getenv:
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mock_getenv.side_effect = lambda key, default=None: {
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"LLM_API_KEY": "sk-env-key",
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"LLM_BASE_URL": "https://env.api.com",
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"LLM_MODEL": "gpt-4",
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}.get(key, default)
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mock_create.return_value = MagicMock()
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result = await ls.create_agent([])
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assert result is mock_create.return_value
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call_kwargs = mock_llm.call_args[1]
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assert call_kwargs["api_key"] == "sk-env-key"
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assert call_kwargs["model"] == "gpt-4"
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ls._llm_config = None
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@pytest.mark.anyio
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async def test_creates_agent_with_partial_api_config(self):
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import src.agent.langgraph_setup as ls
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ls._llm_config = None
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ls.configure_from_api({
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"configured": True,
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"api_key": "sk-key-only",
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})
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with patch("src.agent.langgraph_setup.ChatOpenAI") as mock_llm, \
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patch("src.agent.langgraph_setup.create_react_agent") as mock_create, \
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patch("src.agent.langgraph_setup._fetch_llm_config", new=AsyncMock(return_value=ls._llm_config)):
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mock_create.return_value = MagicMock()
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result = await ls.create_agent([])
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assert result is mock_create.return_value
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call_kwargs = mock_llm.call_args[1]
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assert call_kwargs["api_key"] == "sk-key-only"
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assert call_kwargs["base_url"] == "https://api.openai.com/v1"
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assert call_kwargs["model"] == "gpt-4o-mini"
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ls._llm_config = None
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@pytest.mark.anyio
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async def test_uses_inmemory_saver(self):
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import src.agent.langgraph_setup as ls
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ls._llm_config = None
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with patch("src.agent.langgraph_setup.ChatOpenAI") as mock_llm, \
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patch("src.agent.langgraph_setup.create_react_agent") as mock_create, \
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patch("src.agent.langgraph_setup._fetch_llm_config", new=AsyncMock(return_value=None)), \
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patch("src.agent.langgraph_setup.os.getenv", return_value=None):
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mock_create.return_value = MagicMock()
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await ls.create_agent([])
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call_kwargs = mock_create.call_args[1]
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from langgraph.checkpoint.memory import InMemorySaver
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assert isinstance(call_kwargs["checkpointer"], InMemorySaver)
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ls._llm_config = None
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@pytest.mark.anyio
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async def test_uses_empty_interrupt_list_by_default(self):
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import src.agent.langgraph_setup as ls
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ls._llm_config = None
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with patch("src.agent.langgraph_setup.ChatOpenAI"), \
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patch("src.agent.langgraph_setup.create_react_agent") as mock_create, \
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patch("src.agent.langgraph_setup._fetch_llm_config", new=AsyncMock(return_value=None)), \
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patch("src.agent.langgraph_setup.os.getenv", return_value=None):
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mock_create.return_value = MagicMock()
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await ls.create_agent([])
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assert mock_create.call_args[1]["interrupt_before"] == []
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ls._llm_config = None
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@pytest.mark.anyio
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async def test_confirm_tools_env_interrupts_before_tools_node(self):
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import src.agent.langgraph_setup as ls
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ls._llm_config = None
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with patch("src.agent.langgraph_setup.ChatOpenAI"), \
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patch("src.agent.langgraph_setup.create_react_agent") as mock_create, \
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patch("src.agent.langgraph_setup._fetch_llm_config", new=AsyncMock(return_value=None)), \
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patch("src.agent.langgraph_setup.os.getenv") as mock_getenv:
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mock_getenv.side_effect = lambda key, default=None: {
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"AGENT_CONFIRM_TOOLS": "true",
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}.get(key, default)
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mock_create.return_value = MagicMock()
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await ls.create_agent([])
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assert mock_create.call_args[1]["interrupt_before"] == ["tools"]
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ls._llm_config = None
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@pytest.mark.anyio
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async def test_uses_env_configured_interrupt_nodes(self):
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import src.agent.langgraph_setup as ls
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ls._llm_config = None
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with patch("src.agent.langgraph_setup.ChatOpenAI"), \
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patch("src.agent.langgraph_setup.create_react_agent") as mock_create, \
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patch("src.agent.langgraph_setup._fetch_llm_config", new=AsyncMock(return_value=None)), \
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patch("src.agent.langgraph_setup.os.getenv") as mock_getenv:
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mock_getenv.side_effect = lambda key, default=None: {
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"AGENT_INTERRUPT_BEFORE": "tools",
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}.get(key, default)
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mock_create.return_value = MagicMock()
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await ls.create_agent([])
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assert mock_create.call_args[1]["interrupt_before"] == ["tools"]
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ls._llm_config = None
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@pytest.mark.anyio
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async def test_interrupt_override_bypasses_env_guardrail(self):
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import src.agent.langgraph_setup as ls
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ls._llm_config = None
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with patch("src.agent.langgraph_setup.ChatOpenAI"), \
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patch("src.agent.langgraph_setup.create_react_agent") as mock_create, \
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patch("src.agent.langgraph_setup._fetch_llm_config", new=AsyncMock(return_value=None)), \
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patch("src.agent.langgraph_setup.os.getenv") as mock_getenv:
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mock_getenv.side_effect = lambda key, default=None: {
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"AGENT_CONFIRM_TOOLS": "true",
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}.get(key, default)
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mock_create.return_value = MagicMock()
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await ls.create_agent([], interrupt_before=[])
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assert mock_create.call_args[1]["interrupt_before"] == []
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ls._llm_config = None
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# #endregion test_create_agent
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# #endregion Test.AgentChat.LangGraph.Setup
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