diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml new file mode 100644 index 0000000..d14891d --- /dev/null +++ b/.github/workflows/test.yml @@ -0,0 +1,78 @@ +name: Tests + +on: + push: + branches: + - main + pull_request: + branches: + - main + +permissions: + contents: read + +jobs: + test: + runs-on: ubuntu-latest + strategy: + fail-fast: false + matrix: + python-version: ["3.11", "3.12"] + + steps: + - uses: actions/checkout@v4 + + - name: Install uv + uses: astral-sh/setup-uv@v5 + with: + enable-cache: true + + - name: Set up Python ${{ matrix.python-version }} + run: uv python install ${{ matrix.python-version }} + + - name: Install dependencies + run: | + # Install package with all optional dependencies for full test coverage + uv sync --all-extras --dev + + - name: Run linter (ruff) + run: uv run ruff check src tests + + - name: Run type checker (mypy) + run: uv run mypy src + continue-on-error: true # Don't fail the build on type errors initially + + - name: Run tests + run: uv run pytest tests/ -v --cov=agentexec --cov-report=term-missing --cov-report=xml + + - name: Upload coverage reports to Codecov + uses: codecov/codecov-action@v4 + with: + file: ./coverage.xml + flags: unittests + name: codecov-umbrella + fail_ci_if_error: false + env: + CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }} + continue-on-error: true # Don't fail if codecov upload fails + + test-minimal: + # Test that the package works without optional dependencies + runs-on: ubuntu-latest + + steps: + - uses: actions/checkout@v4 + + - name: Install uv + uses: astral-sh/setup-uv@v5 + with: + enable-cache: true + + - name: Set up Python 3.11 + run: uv python install 3.11 + + - name: Install minimal dependencies + run: uv sync --dev + + - name: Run tests (minimal - should skip OpenAI and Pydantic AI tests) + run: uv run pytest tests/ -v -k "not (openai_runner or pydantic_ai_runner)" --cov=agentexec --cov-report=term-missing diff --git a/pyproject.toml b/pyproject.toml index d63420e..a6dd201 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,7 +1,7 @@ [project] name = "agentexec" version = "0.1.2" -description = "Production-ready orchestration for OpenAI Agents with Redis-backed coordination, activity tracking, and workflow management" +description = "Production-ready orchestration for AI agents (OpenAI, Pydantic AI) with Redis-backed coordination, activity tracking, and workflow management" readme = "README.md" requires-python = ">=3.11" license = { text = "MIT" } @@ -9,7 +9,7 @@ authors = [ {name = "Agent CI", email = "hello@agentci.com"}, {name = "Travis Dent", email = "root@a10k.co"} ] -keywords = ["agents", "openai", "redis", "orchestration", "async", "background-workers"] +keywords = ["agents", "openai", "pydantic-ai", "redis", "orchestration", "async", "background-workers"] classifiers = [ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", @@ -24,9 +24,12 @@ dependencies = [ "pydantic>=2.12.0", "pydantic-settings>=2.5.0", "sqlalchemy>=2.0.44", - "openai-agents>=0.1.0", ] +[project.optional-dependencies] +openai = ["openai-agents>=0.1.0"] +pydantic-ai = ["pydantic-ai>=0.0.1"] +all = ["openai-agents>=0.1.0", "pydantic-ai>=0.0.1"] [project.urls] Homepage = "https://github.com/Agent-CI/agentexec" @@ -55,6 +58,10 @@ dev-dependencies = [ line-length = 100 target-version = "py311" +[tool.ruff.lint] +# Ignore unused imports in __init__.py files (used for re-exports) +per-file-ignores = { "__init__.py" = ["F401"] } + [tool.mypy] python_version = "3.11" warn_return_any = true diff --git a/src/agentexec/runners/__init__.py b/src/agentexec/runners/__init__.py index d1af0fd..8288273 100644 --- a/src/agentexec/runners/__init__.py +++ b/src/agentexec/runners/__init__.py @@ -11,3 +11,11 @@ __all__.append("OpenAIRunner") except ImportError: pass + +# Pydantic AI runner is only available if pydantic-ai package is installed +try: + from agentexec.runners.pydantic_ai import PydanticAIRunner + + __all__.append("PydanticAIRunner") +except ImportError: + pass diff --git a/src/agentexec/runners/pydantic_ai.py b/src/agentexec/runners/pydantic_ai.py new file mode 100644 index 0000000..0891c8b --- /dev/null +++ b/src/agentexec/runners/pydantic_ai.py @@ -0,0 +1,222 @@ +import logging +import uuid +from typing import Any + +from pydantic_ai import Agent, AgentRunResult, capture_run_messages +from pydantic_ai.exceptions import UsageLimitExceeded +from pydantic_ai.messages import ( + ModelMessage, + ModelRequest, + UserPromptPart, +) +from pydantic_ai.result import StreamedRunResult +from pydantic_ai.tools import Tool +from pydantic_ai.usage import UsageLimits + +from agentexec.runners.base import BaseAgentRunner, _RunnerTools + + +logger = logging.getLogger(__name__) + + +class _PydanticAIRunnerTools(_RunnerTools): + """Pydantic AI-specific tools wrapper that creates Tool instances.""" + + @property + def report_status(self) -> Tool: + """Get the status update tool wrapped as a Pydantic AI Tool.""" + # Get the base report_activity function + base_func = super().report_status + + # Create a Tool instance for Pydantic AI + return Tool( + function=base_func, + name="report_activity", + description=( + "Report progress and status updates. " + "Use this tool to report your progress as you work through the task." + ), + ) + + +class PydanticAIRunner(BaseAgentRunner): + """Runner for Pydantic AI agents with automatic activity tracking. + + This runner wraps Pydantic AI agents and provides: + - Automatic agent_id generation + - Activity lifecycle management (QUEUED -> RUNNING -> COMPLETE/ERROR) + - Request limit recovery with configurable wrap-up prompts + - Status update tool with agent_id pre-baked + + Example: + runner = agentexec.PydanticAIRunner( + agent_id=agent_id, + max_turns_recovery=True, + wrap_up_prompt="Please summarize your findings.", + report_status_prompt="Use report_activity(message, percentage) to report progress.", + ) + + agent = Agent( + 'anthropic:claude-sonnet-4-0', + system_prompt=f"Research companies. {runner.prompts.report_status}", + tools=[runner.tools.report_status], + ) + + result = await runner.run( + agent=agent, + user_prompt="Research Acme Corp", + max_turns=15, + ) + """ + + def __init__( + self, + agent_id: uuid.UUID, + *, + max_turns_recovery: bool = False, + wrap_up_prompt: str | None = None, + recovery_turns: int = 5, + report_status_prompt: str | None = None, + ) -> None: + """Initialize the Pydantic AI runner. + + Args: + agent_id: UUID for tracking this agent's activity. + max_turns_recovery: Enable automatic recovery when request limit exceeded. + wrap_up_prompt: Prompt to use for recovery run. + recovery_turns: Number of turns allowed for recovery. + report_status_prompt: Instruction snippet about using the status tool. + """ + super().__init__( + agent_id, + max_turns_recovery=max_turns_recovery, + recovery_turns=recovery_turns, + wrap_up_prompt=wrap_up_prompt, + report_status_prompt=report_status_prompt, + ) + # Override with Pydantic AI-specific tools + self.tools = _PydanticAIRunnerTools(self.agent_id) + + async def run( + self, + agent: Agent[Any, Any], + user_prompt: str | list[ModelMessage] | None, + max_turns: int = 10, + deps: Any | None = None, + message_history: list[ModelMessage] | None = None, + model_settings: dict[str, Any] | None = None, + ) -> AgentRunResult[Any]: + """Run the agent with automatic activity tracking. + + Args: + agent: Pydantic AI Agent instance. + user_prompt: User input/prompt for the agent, or list of messages. + max_turns: Maximum number of agent iterations (maps to request_limit). + deps: Optional dependencies to pass to the agent. + message_history: Optional message history to continue from. + model_settings: Optional model settings to pass to the agent. + + Returns: + AgentRunResult from the agent execution. + """ + # Use capture_run_messages to access conversation history if UsageLimitExceeded + with capture_run_messages() as messages: + try: + result = await agent.run( + user_prompt=user_prompt, + message_history=message_history, + deps=deps, + usage_limits=UsageLimits(request_limit=max_turns), + model_settings=model_settings, + ) + return result + except UsageLimitExceeded: + if not self.max_turns_recovery: + raise + + logger.info( + "Request limit exceeded, attempting recovery with %d messages", + len(messages), + ) + + # Append wrap-up prompt to the captured messages + wrap_up_request = ModelRequest( + parts=[UserPromptPart(content=self.prompts.wrap_up)] + ) + recovery_messages = list(messages) + [wrap_up_request] + + # Retry with recovery turns limit + result = await agent.run( + user_prompt=None, # None since we're using message_history + message_history=recovery_messages, + deps=deps, + usage_limits=UsageLimits(request_limit=self.recovery_turns), + model_settings=model_settings, + ) + return result + + async def run_streamed( + self, + agent: Agent[Any, Any], + user_prompt: str | list[ModelMessage] | None, + max_turns: int = 10, + deps: Any | None = None, + message_history: list[ModelMessage] | None = None, + model_settings: dict[str, Any] | None = None, + ) -> StreamedRunResult[Any]: + """Run the agent in streaming mode with automatic activity tracking. + + The returned streaming result can be used with async context manager pattern. + Activity tracking happens automatically. + + Args: + agent: Pydantic AI Agent instance. + user_prompt: User input/prompt for the agent, or list of messages. + max_turns: Maximum number of agent iterations (maps to request_limit). + deps: Optional dependencies to pass to the agent. + message_history: Optional message history to continue from. + model_settings: Optional model settings to pass to the agent. + + Returns: + StreamedRunResult from the agent execution. + + Example: + async with await runner.run_streamed(agent, "Research XYZ") as result: + async for message in result.stream_text(): + print(message) + """ + # Use capture_run_messages to access conversation history if UsageLimitExceeded + with capture_run_messages() as messages: + try: + result = await agent.run_stream( + user_prompt=user_prompt, + message_history=message_history, + deps=deps, + usage_limits=UsageLimits(request_limit=max_turns), + model_settings=model_settings, + ) + return result + except UsageLimitExceeded: + if not self.max_turns_recovery: + raise + + logger.info( + "Request limit exceeded during streaming, attempting recovery with %d messages", + len(messages), + ) + + # Append wrap-up prompt to the captured messages + wrap_up_request = ModelRequest( + parts=[UserPromptPart(content=self.prompts.wrap_up)] + ) + recovery_messages = list(messages) + [wrap_up_request] + + # Retry with recovery turns limit + result = await agent.run_stream( + user_prompt=None, # None since we're using message_history + message_history=recovery_messages, + deps=deps, + usage_limits=UsageLimits(request_limit=self.recovery_turns), + model_settings=model_settings, + ) + return result diff --git a/tests/test_activity_tracking.py b/tests/test_activity_tracking.py index 9a43f9f..c6fbd3a 100644 --- a/tests/test_activity_tracking.py +++ b/tests/test_activity_tracking.py @@ -7,7 +7,7 @@ from sqlalchemy.orm import Session, sessionmaker from agentexec import activity -from agentexec.activity.models import Activity, ActivityLog, Base, Status +from agentexec.activity.models import Activity, Base, Status @pytest.fixture diff --git a/tests/test_public_api.py b/tests/test_public_api.py index 8fda206..6bf5b46 100644 --- a/tests/test_public_api.py +++ b/tests/test_public_api.py @@ -32,14 +32,22 @@ def test_main_imports() -> None: assert enqueue is not None -def test_runner_imports() -> None: - """Test that runner imports work.""" +def test_openai_runner_imports() -> None: + """Test that OpenAI runner imports work.""" pytest.importorskip("agents") from agentexec.runners import OpenAIRunner assert OpenAIRunner is not None +def test_pydantic_ai_runner_imports() -> None: + """Test that Pydantic AI runner imports work.""" + pytest.importorskip("pydantic_ai") + from agentexec.runners import PydanticAIRunner + + assert PydanticAIRunner is not None + + def test_worker_pool_initialization() -> None: """Test that WorkerPool can be initialized.""" engine = create_engine("sqlite:///:memory:") @@ -50,7 +58,7 @@ def test_worker_pool_initialization() -> None: assert hasattr(pool, "shutdown") -def test_runner_initialization() -> None: +def test_openai_runner_initialization() -> None: """Test that OpenAIRunner can be initialized.""" pytest.importorskip("agents") from agentexec.runners import OpenAIRunner @@ -69,6 +77,26 @@ def test_runner_initialization() -> None: assert hasattr(runner, "run") +def test_pydantic_ai_runner_initialization() -> None: + """Test that PydanticAIRunner can be initialized.""" + pytest.importorskip("pydantic_ai") + from agentexec.runners import PydanticAIRunner + + runner = PydanticAIRunner( + agent_id=uuid.uuid4(), + max_turns_recovery=True, + wrap_up_prompt="Please summarize your findings.", + report_status_prompt="Use report_status to report progress.", + ) + + assert runner is not None + assert runner.max_turns_recovery is True + assert runner.prompts.report_status == "Use report_status to report progress." + assert hasattr(runner, "tools") + assert hasattr(runner, "run") + assert hasattr(runner, "run_streamed") + + def test_config_access() -> None: """Test that configuration can be accessed.""" assert ax.CONF.redis_url is None # Default is None, must be configured diff --git a/tests/test_pydantic_ai_runner.py b/tests/test_pydantic_ai_runner.py new file mode 100644 index 0000000..c5f90fd --- /dev/null +++ b/tests/test_pydantic_ai_runner.py @@ -0,0 +1,465 @@ +"""Tests for PydanticAIRunner.""" + +import uuid +from unittest.mock import AsyncMock, Mock, patch + +import pytest + +# Skip all tests if pydantic-ai is not installed +pytest.importorskip("pydantic_ai") + +from pydantic_ai import Agent, AgentRunResult +from pydantic_ai.exceptions import UsageLimitExceeded +from pydantic_ai.messages import ModelRequest, ModelResponse, UserPromptPart +from pydantic_ai.result import StreamedRunResult +from pydantic_ai.tools import Tool + +from agentexec.runners.pydantic_ai import PydanticAIRunner, _PydanticAIRunnerTools + + +class TestPydanticAIRunnerInitialization: + """Tests for PydanticAIRunner initialization.""" + + def test_basic_initialization(self) -> None: + """Test that PydanticAIRunner can be initialized with basic parameters.""" + agent_id = uuid.uuid4() + runner = PydanticAIRunner(agent_id=agent_id) + + assert runner is not None + assert runner.agent_id == agent_id + assert runner.max_turns_recovery is False + assert runner.recovery_turns == 5 + assert hasattr(runner, "tools") + assert hasattr(runner, "prompts") + assert hasattr(runner, "run") + assert hasattr(runner, "run_streamed") + + def test_initialization_with_recovery(self) -> None: + """Test initialization with max_turns_recovery enabled.""" + agent_id = uuid.uuid4() + runner = PydanticAIRunner( + agent_id=agent_id, + max_turns_recovery=True, + recovery_turns=3, + ) + + assert runner.max_turns_recovery is True + assert runner.recovery_turns == 3 + + def test_initialization_with_custom_prompts(self) -> None: + """Test initialization with custom prompts.""" + agent_id = uuid.uuid4() + custom_status_prompt = "Custom status reporting instructions" + custom_wrap_up_prompt = "Custom wrap up instructions" + + runner = PydanticAIRunner( + agent_id=agent_id, + report_status_prompt=custom_status_prompt, + wrap_up_prompt=custom_wrap_up_prompt, + ) + + assert runner.prompts.report_status == custom_status_prompt + assert runner.prompts.wrap_up == custom_wrap_up_prompt + + def test_tools_namespace_exists(self) -> None: + """Test that tools namespace is properly initialized.""" + agent_id = uuid.uuid4() + runner = PydanticAIRunner(agent_id=agent_id) + + assert isinstance(runner.tools, _PydanticAIRunnerTools) + assert hasattr(runner.tools, "report_status") + + def test_report_status_tool_is_pydantic_tool(self) -> None: + """Test that report_status is a Pydantic AI Tool.""" + agent_id = uuid.uuid4() + runner = PydanticAIRunner(agent_id=agent_id) + + tool = runner.tools.report_status + assert isinstance(tool, Tool) + assert tool.name == "report_activity" + + +class TestPydanticAIRunnerExecution: + """Tests for PydanticAIRunner run methods.""" + + @pytest.mark.asyncio + async def test_basic_run(self) -> None: + """Test basic agent execution without recovery.""" + agent_id = uuid.uuid4() + runner = PydanticAIRunner(agent_id=agent_id) + + # Create a mock agent + mock_agent = Mock(spec=Agent) + mock_result = Mock(spec=AgentRunResult) + mock_result.data = "Test result" + + # Mock the agent.run method + mock_agent.run = AsyncMock(return_value=mock_result) + + # Run the agent + result = await runner.run( + agent=mock_agent, + user_prompt="Test prompt", + max_turns=10, + ) + + assert result == mock_result + mock_agent.run.assert_called_once() + call_kwargs = mock_agent.run.call_args.kwargs + + assert call_kwargs["user_prompt"] == "Test prompt" + assert call_kwargs["usage_limits"].request_limit == 10 + + @pytest.mark.asyncio + async def test_run_with_deps(self) -> None: + """Test agent execution with dependencies.""" + agent_id = uuid.uuid4() + runner = PydanticAIRunner(agent_id=agent_id) + + mock_agent = Mock(spec=Agent) + mock_result = Mock(spec=AgentRunResult) + mock_agent.run = AsyncMock(return_value=mock_result) + + deps = {"key": "value"} + await runner.run( + agent=mock_agent, + user_prompt="Test prompt", + deps=deps, + ) + + call_kwargs = mock_agent.run.call_args.kwargs + assert call_kwargs["deps"] == deps + + @pytest.mark.asyncio + async def test_run_with_message_history(self) -> None: + """Test agent execution with message history.""" + agent_id = uuid.uuid4() + runner = PydanticAIRunner(agent_id=agent_id) + + mock_agent = Mock(spec=Agent) + mock_result = Mock(spec=AgentRunResult) + mock_agent.run = AsyncMock(return_value=mock_result) + + message_history = [ + ModelRequest(parts=[UserPromptPart(content="Previous message")]), + ] + + await runner.run( + agent=mock_agent, + user_prompt="Test prompt", + message_history=message_history, + ) + + call_kwargs = mock_agent.run.call_args.kwargs + assert call_kwargs["message_history"] == message_history + + @pytest.mark.asyncio + async def test_run_with_model_settings(self) -> None: + """Test agent execution with custom model settings.""" + agent_id = uuid.uuid4() + runner = PydanticAIRunner(agent_id=agent_id) + + mock_agent = Mock(spec=Agent) + mock_result = Mock(spec=AgentRunResult) + mock_agent.run = AsyncMock(return_value=mock_result) + + model_settings = {"temperature": 0.7, "max_tokens": 1000} + + await runner.run( + agent=mock_agent, + user_prompt="Test prompt", + model_settings=model_settings, + ) + + call_kwargs = mock_agent.run.call_args.kwargs + assert call_kwargs["model_settings"] == model_settings + + +class TestPydanticAIRunnerRecovery: + """Tests for max turns recovery functionality.""" + + @pytest.mark.asyncio + async def test_recovery_disabled_raises_exception(self) -> None: + """Test that exception is raised when recovery is disabled.""" + agent_id = uuid.uuid4() + runner = PydanticAIRunner( + agent_id=agent_id, + max_turns_recovery=False, + ) + + mock_agent = Mock(spec=Agent) + mock_exception = UsageLimitExceeded("Request limit exceeded") + mock_exception.message_history = [] + mock_agent.run = AsyncMock(side_effect=mock_exception) + + with pytest.raises(UsageLimitExceeded): + await runner.run( + agent=mock_agent, + user_prompt="Test prompt", + max_turns=5, + ) + + @pytest.mark.asyncio + @patch("agentexec.runners.pydantic_ai.capture_run_messages") + async def test_recovery_enabled_retries(self, mock_capture: Mock) -> None: + """Test that recovery mechanism retries with wrap-up prompt.""" + agent_id = uuid.uuid4() + wrap_up_prompt = "Please summarize" + runner = PydanticAIRunner( + agent_id=agent_id, + max_turns_recovery=True, + wrap_up_prompt=wrap_up_prompt, + recovery_turns=3, + ) + + mock_agent = Mock(spec=Agent) + + # Mock messages that would be captured + captured_messages = [ + ModelRequest(parts=[UserPromptPart(content="Original prompt")]), + Mock(spec=ModelResponse), # Mock a response + ] + + # Mock capture_run_messages to populate the list + mock_capture.return_value.__enter__.return_value = captured_messages + + # First call raises UsageLimitExceeded + mock_exception = UsageLimitExceeded("Request limit exceeded") + + # Second call (recovery) succeeds + mock_recovery_result = Mock(spec=AgentRunResult) + mock_recovery_result.data = "Recovery result" + + mock_agent.run = AsyncMock(side_effect=[mock_exception, mock_recovery_result]) + + result = await runner.run( + agent=mock_agent, + user_prompt="Test prompt", + max_turns=5, + ) + + assert result == mock_recovery_result + assert mock_agent.run.call_count == 2 + + # Check second call (recovery) + second_call_kwargs = mock_agent.run.call_args_list[1].kwargs + assert second_call_kwargs["user_prompt"] is None + assert second_call_kwargs["usage_limits"].request_limit == 3 + + # Verify wrap-up prompt was added to message history + recovery_messages = second_call_kwargs["message_history"] + assert len(recovery_messages) == len(captured_messages) + 1 + # Last message should be the wrap-up prompt + last_message = recovery_messages[-1] + assert isinstance(last_message, ModelRequest) + assert last_message.parts[0].content == wrap_up_prompt + + @pytest.mark.asyncio + @patch("agentexec.runners.pydantic_ai.capture_run_messages") + async def test_recovery_preserves_message_history(self, mock_capture: Mock) -> None: + """Test that recovery preserves conversation history.""" + agent_id = uuid.uuid4() + runner = PydanticAIRunner( + agent_id=agent_id, + max_turns_recovery=True, + recovery_turns=3, + ) + + mock_agent = Mock(spec=Agent) + + # Create mock message history that would be captured + captured_messages = [ + ModelRequest(parts=[UserPromptPart(content="Message 1")]), + Mock(spec=ModelResponse), + ModelRequest(parts=[UserPromptPart(content="Message 2")]), + Mock(spec=ModelResponse), + ] + + # Mock capture_run_messages to populate the list + mock_capture.return_value.__enter__.return_value = captured_messages + + mock_exception = UsageLimitExceeded("Request limit exceeded") + mock_recovery_result = Mock(spec=AgentRunResult) + mock_agent.run = AsyncMock(side_effect=[mock_exception, mock_recovery_result]) + + await runner.run( + agent=mock_agent, + user_prompt="Test prompt", + max_turns=5, + ) + + # Check that recovery call received the message history + recovery_call_kwargs = mock_agent.run.call_args_list[1].kwargs + recovery_messages = recovery_call_kwargs["message_history"] + + # Should have captured messages plus wrap-up prompt + assert len(recovery_messages) == len(captured_messages) + 1 + + @pytest.mark.asyncio + async def test_other_exceptions_not_caught(self) -> None: + """Test that non-UsageLimitExceeded exceptions are propagated.""" + agent_id = uuid.uuid4() + runner = PydanticAIRunner( + agent_id=agent_id, + max_turns_recovery=True, + ) + + mock_agent = Mock(spec=Agent) + mock_agent.run = AsyncMock(side_effect=ValueError("Different error")) + + with pytest.raises(ValueError, match="Different error"): + await runner.run( + agent=mock_agent, + user_prompt="Test prompt", + ) + + +class TestPydanticAIRunnerStreaming: + """Tests for streaming functionality.""" + + @pytest.mark.asyncio + async def test_basic_streaming(self) -> None: + """Test basic streaming execution.""" + agent_id = uuid.uuid4() + runner = PydanticAIRunner(agent_id=agent_id) + + mock_agent = Mock(spec=Agent) + mock_result = Mock(spec=StreamedRunResult) + mock_agent.run_stream = AsyncMock(return_value=mock_result) + + result = await runner.run_streamed( + agent=mock_agent, + user_prompt="Test prompt", + max_turns=10, + ) + + assert result == mock_result + mock_agent.run_stream.assert_called_once() + call_kwargs = mock_agent.run_stream.call_args.kwargs + assert call_kwargs["user_prompt"] == "Test prompt" + assert call_kwargs["usage_limits"].request_limit == 10 + + @pytest.mark.asyncio + @patch("agentexec.runners.pydantic_ai.capture_run_messages") + async def test_streaming_with_recovery(self, mock_capture: Mock) -> None: + """Test that streaming works with recovery mechanism.""" + agent_id = uuid.uuid4() + runner = PydanticAIRunner( + agent_id=agent_id, + max_turns_recovery=True, + recovery_turns=3, + ) + + mock_agent = Mock(spec=Agent) + + # Mock captured messages + captured_messages = [ + ModelRequest(parts=[UserPromptPart(content="Original")]), + ] + mock_capture.return_value.__enter__.return_value = captured_messages + + mock_exception = UsageLimitExceeded("Request limit exceeded") + mock_recovery_result = Mock(spec=StreamedRunResult) + mock_agent.run_stream = AsyncMock( + side_effect=[mock_exception, mock_recovery_result] + ) + + result = await runner.run_streamed( + agent=mock_agent, + user_prompt="Test prompt", + max_turns=5, + ) + + assert result == mock_recovery_result + assert mock_agent.run_stream.call_count == 2 + + +class TestPydanticAIRunnerTools: + """Tests for tool integration.""" + + def test_report_status_tool_bound_to_agent_id(self) -> None: + """Test that report_status tool is bound to the correct agent_id.""" + agent_id = uuid.uuid4() + runner = PydanticAIRunner(agent_id=agent_id) + + tool = runner.tools.report_status + assert isinstance(tool, Tool) + # The underlying function should be bound to this agent_id + assert tool.function is not None + + @patch("agentexec.activity.update") + def test_report_status_tool_calls_activity_update(self, mock_update: Mock) -> None: + """Test that report_status tool calls activity.update.""" + agent_id = uuid.uuid4() + runner = PydanticAIRunner(agent_id=agent_id) + + tool = runner.tools.report_status + + # Call the underlying function + result = tool.function(message="Working on task", percentage=50) + + assert result == "Status updated" + mock_update.assert_called_once_with( + agent_id=agent_id, + message="Working on task", + completion_percentage=50, + ) + + def test_multiple_runners_have_separate_tools(self) -> None: + """Test that different runners have separate tool instances.""" + agent_id_1 = uuid.uuid4() + agent_id_2 = uuid.uuid4() + + runner1 = PydanticAIRunner(agent_id=agent_id_1) + runner2 = PydanticAIRunner(agent_id=agent_id_2) + + # Tools should be different instances + assert runner1.tools is not runner2.tools + assert runner1.tools.report_status is not runner2.tools.report_status + + +class TestPydanticAIRunnerIntegration: + """Integration tests for PydanticAIRunner.""" + + def test_runner_public_api_import(self) -> None: + """Test that PydanticAIRunner can be imported from public API.""" + from agentexec.runners import PydanticAIRunner as ImportedRunner + + assert ImportedRunner is not None + assert ImportedRunner == PydanticAIRunner + + def test_runner_works_with_pydantic_ai_agent(self) -> None: + """Test that runner works with actual Pydantic AI Agent class.""" + agent_id = uuid.uuid4() + runner = PydanticAIRunner(agent_id=agent_id) + + # Create a real Pydantic AI agent (not mocked) to verify compatibility + _ = Agent("test") + + # Verify runner has the right interface for Pydantic AI agents + assert hasattr(runner, "run") + assert hasattr(runner, "run_streamed") + + def test_prompts_can_be_injected_into_agent(self) -> None: + """Test that runner prompts can be used in agent system prompts.""" + agent_id = uuid.uuid4() + runner = PydanticAIRunner(agent_id=agent_id) + + # Create an agent with runner's status prompt + system_prompt_text = ( + f"You are a helpful assistant. {runner.prompts.report_status}" + ) + agent = Agent( + "test", + system_prompt=system_prompt_text, + ) + + # Verify the prompt was included by checking the agent has system prompts + assert len(agent._system_prompts) > 0 + # The first system prompt should be our text (or contain it) + first_prompt = agent._system_prompts[0] + # Handle both str and object cases + if hasattr(first_prompt, "content"): + assert runner.prompts.report_status in first_prompt.content + else: + assert runner.prompts.report_status in str(first_prompt) diff --git a/tests/test_worker_pool.py b/tests/test_worker_pool.py index 60f37fe..466a696 100644 --- a/tests/test_worker_pool.py +++ b/tests/test_worker_pool.py @@ -92,7 +92,7 @@ async def high_handler(agent_id: uuid.UUID, context: SampleContext) -> None: # Enqueue low priority task ctx1 = SampleContext(message="low", value=1) - task1 = await ax.enqueue("low_task", ctx1, priority=ax.Priority.LOW) + _ = await ax.enqueue("low_task", ctx1, priority=ax.Priority.LOW) # Enqueue high priority task ctx2 = SampleContext(message="high", value=2) diff --git a/uv.lock b/uv.lock index cdc5ae3..a56f721 100644 --- a/uv.lock +++ b/uv.lock @@ -1,19 +1,42 @@ version = 1 -revision = 1 +revision = 3 requires-python = ">=3.11" +[[package]] +name = "ag-ui-protocol" +version = "0.1.10" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "pydantic" }, +] +sdist = 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