- Config extensions: retry backoff, truncation threshold, session persistence - LLM retry with exponential backoff + jitter on transient errors (5xx, connection) - Conversation truncation: drops oldest messages preserving first user + recent N - Session persistence: auto-save/restore with atomic writes, cleanup of old files - Graceful shutdown: SIGTERM handler, cancel() on AgentLoop, save-on-exit - Partial message recovery on mid-stream interruption - New slash commands: /save, /session - 18 new tests (5 retry, 5 truncation, 4 session, 4 integration workflows) - README.md and docs/tools.md documentation Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
156 lines
6.2 KiB
Python
156 lines
6.2 KiB
Python
"""Integration tests for end-to-end agent workflows with mocked LLM."""
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from pathlib import Path
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from unittest.mock import AsyncMock, patch
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import pytest
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from app.agent.context import SessionContext
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from app.agent.loop import AgentLoop
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from app.models.config import AgentConfig, AppConfig, LLMConfig
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from app.services.llm import LLMConnectionError
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from app.services.permissions import PermissionsService
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from app.services.session import SessionManager
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from app.services.streaming import StreamHandler
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from app.tools.registry import create_default_registry
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from .conftest import MockLLMClient, make_text_chunks, make_tool_call_chunks
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@pytest.fixture
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def agent_factory(test_config: AppConfig, tmp_workspace: Path):
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"""Factory that creates an AgentLoop wired to a MockLLMClient."""
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def create(responses):
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ctx = SessionContext(test_config)
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mock_client = MockLLMClient(responses)
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handler = StreamHandler(test_config.display)
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registry = create_default_registry(test_config.agent.workspace_root, test_config)
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permissions = PermissionsService(test_config.permissions)
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agent = AgentLoop(test_config, ctx, mock_client, handler, registry, permissions)
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return agent, ctx, mock_client
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return create
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class TestAgentWorkflows:
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@pytest.mark.asyncio
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async def test_multi_turn_read_workflow(self, agent_factory, tmp_workspace: Path) -> None:
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"""Agent reads a file then responds with text — full 2-turn workflow."""
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responses = [
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make_tool_call_chunks("read_file", {"file_path": "hello.txt"}),
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make_text_chunks("The file contains: Hello, world!"),
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]
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agent, ctx, mock_client = agent_factory(responses)
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await agent.run_turn("What's in hello.txt?")
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assert mock_client.call_count == 2
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history = ctx.get_history()
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# user, assistant (tool_call), tool (result), assistant (text)
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assert len(history) == 4
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assert history[0].role == "user"
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assert history[1].role == "assistant"
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assert history[1].tool_calls is not None
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assert history[2].role == "tool"
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assert "Hello, world!" in (history[2].content or "")
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assert history[3].role == "assistant"
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assert "Hello, world!" in (history[3].content or "")
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@pytest.mark.asyncio
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async def test_token_budget_truncation(self, test_config: AppConfig, tmp_workspace: Path) -> None:
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"""When token budget is exceeded, truncation drops messages instead of stopping."""
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# Use a tiny budget to trigger truncation
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test_config.agent.max_conversation_tokens = 100
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test_config.agent.truncation_keep_recent = 2
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test_config.agent.truncation_threshold = 0.5
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ctx = SessionContext(test_config)
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# Fill history with enough to exceed budget
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for i in range(10):
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ctx.add_message("user", f"Message {i} " * 20)
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ctx.add_message("assistant", f"Response {i} " * 20)
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# Force token counter over budget
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from app.utils.token_counter import TokenUsage
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ctx.token_counter.count_usage(TokenUsage(total_tokens=100))
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original_count = len(ctx.get_history())
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dropped = ctx.truncate_history()
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assert dropped > 0
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assert len(ctx.get_history()) < original_count
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# Recent messages should still be present
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assert len(ctx.get_history()) >= 2
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@pytest.mark.asyncio
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async def test_session_save_and_restore(self, test_config: AppConfig, tmp_workspace: Path) -> None:
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"""Session can be saved after a turn and restored into a fresh context."""
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responses = [make_text_chunks("Hello from the agent!")]
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ctx = SessionContext(test_config)
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mock_client = MockLLMClient(responses)
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handler = StreamHandler(test_config.display)
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registry = create_default_registry(test_config.agent.workspace_root, test_config)
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permissions = PermissionsService(test_config.permissions)
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agent = AgentLoop(test_config, ctx, mock_client, handler, registry, permissions)
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await agent.run_turn("Hi")
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# Save session
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session_mgr = SessionManager(
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test_config.session, test_config.agent.workspace_root, test_config.llm.model
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)
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path = session_mgr.save(ctx)
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assert path.exists()
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# Restore into fresh context
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fresh_ctx = SessionContext(test_config)
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loaded = session_mgr.load_latest()
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assert loaded is not None
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session_mgr.restore(loaded, fresh_ctx)
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assert fresh_ctx.message_count == ctx.message_count
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original_history = ctx.get_history()
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restored_history = fresh_ctx.get_history()
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for orig, restored in zip(original_history, restored_history):
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assert orig.role == restored.role
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assert orig.content == restored.content
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@pytest.mark.asyncio
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async def test_retry_on_transient_error(self, test_config: AppConfig, tmp_workspace: Path) -> None:
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"""Agent recovers from transient LLM errors via retry."""
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from app.services.llm import LLMClient
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ctx = SessionContext(test_config)
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# Create a real client but mock stream_chat to fail then succeed
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client = LLMClient(test_config.llm)
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call_count = 0
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async def flaky_stream(*args, **kwargs):
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nonlocal call_count
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call_count += 1
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if call_count == 1:
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raise LLMConnectionError("Temporary failure")
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for chunk in make_text_chunks("Recovered!"):
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yield chunk
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client.stream_chat = flaky_stream # type: ignore[assignment]
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handler = StreamHandler(test_config.display)
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registry = create_default_registry(test_config.agent.workspace_root, test_config)
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permissions = PermissionsService(test_config.permissions)
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agent = AgentLoop(test_config, ctx, client, handler, registry, permissions)
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with patch("app.services.llm.asyncio.sleep", new_callable=AsyncMock):
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await agent.run_turn("Test retry")
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history = ctx.get_history()
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# Should have succeeded: user + assistant
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assert len(history) == 2
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assert history[1].content == "Recovered!"
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assert call_count == 2
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await client.close()
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