From 748c25451c4e32267994e9b9373ba6eb14625c21 Mon Sep 17 00:00:00 2001 From: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com> Date: Wed, 2 Jul 2025 15:22:18 -0700 Subject: [PATCH] Lorenze/new version 0.140.0 (#3106) * fix: clean up whitespace and update dependencies * Removed unnecessary whitespace in multiple files for consistency. * Updated `crewai-tools` dependency version to `0.49.0` in `pyproject.toml` and related template files. * Bumped CrewAI version to `0.140.0` in `__init__.py` for alignment with updated dependencies. * chore: update pyproject.toml to exclude documentation from build targets * Added exclusions for the `docs` directory in both wheel and sdist build targets to streamline the build process and reduce unnecessary file inclusion. * chore: update uv.lock for dependency resolution and Python version compatibility * Incremented revision to 2. * Updated resolution markers to include support for Python 3.13 and adjusted platform checks for better compatibility. * Added new wheel URLs for zstandard version 0.23.0 to ensure availability across various platforms. * chore: pin json-repair dependency version in pyproject.toml and uv.lock * Updated json-repair dependency from a range to a specific version (0.25.2) for consistency and to avoid potential compatibility issues. * Adjusted related entries in uv.lock to reflect the pinned version, ensuring alignment across project files. * chore: pin agentops dependency version in pyproject.toml and uv.lock * Updated agentops dependency from a range to a specific version (0.3.18) for consistency and to avoid potential compatibility issues. * Adjusted related entries in uv.lock to reflect the pinned version, ensuring alignment across project files. * test: enhance cache call assertions in crew tests * Improved the test for cache hitting between agents by filtering mock calls to ensure they include the expected 'tool' and 'input' keywords. * Added assertions to verify the number of cache calls and their expected arguments, enhancing the reliability of the test. * Cleaned up whitespace and improved readability in various test cases for better maintainability. --- .cursorrules | 286 +- pyproject.toml | 18 +- src/crewai/__init__.py | 12 +- src/crewai/cli/templates/crew/pyproject.toml | 2 +- src/crewai/cli/templates/flow/pyproject.toml | 2 +- src/crewai/cli/templates/tool/pyproject.toml | 2 +- .../test_cache_hitting_between_agents.yaml | 121 + tests/crew_test.py | 49 +- uv.lock | 5400 ++++++++++------- 9 files changed, 3460 insertions(+), 2432 deletions(-) diff --git a/.cursorrules b/.cursorrules index 4278244db..42ef136ae 100644 --- a/.cursorrules +++ b/.cursorrules @@ -260,7 +260,7 @@ def handle_success(self): # Handle success case pass -@listen("failure_path") +@listen("failure_path") def handle_failure(self): # Handle failure case pass @@ -288,7 +288,7 @@ class SelectiveFlow(Flow): def critical_step(self): # Only this method's state is persisted self.state["important_data"] = "value" - + @start() def temporary_step(self): # This method's state is not persisted @@ -322,20 +322,20 @@ flow.plot("workflow_diagram") # Generates HTML visualization class CyclicFlow(Flow): max_iterations = 5 current_iteration = 0 - + @start("loop") def process_iteration(self): if self.current_iteration >= self.max_iterations: return # Process current iteration self.current_iteration += 1 - + @router(process_iteration) def check_continue(self): if self.current_iteration < self.max_iterations: return "loop" # Continue cycling return "complete" - + @listen("complete") def finalize(self): # Final processing @@ -369,7 +369,7 @@ def risky_operation(self): self.state["success"] = False return None -@listen(risky_operation) +@listen(risky_operation) def handle_result(self, result): if self.state.get("success", False): # Handle success case @@ -390,7 +390,7 @@ class CrewOrchestrationFlow(Flow[WorkflowState]): result = research_crew.crew().kickoff(inputs={"topic": self.state.research_topic}) self.state.research_results = result.raw return result - + @listen(research_phase) def analysis_phase(self, research_results): analysis_crew = AnalysisCrew() @@ -400,13 +400,13 @@ class CrewOrchestrationFlow(Flow[WorkflowState]): }) self.state.analysis_results = result.raw return result - + @router(analysis_phase) def decide_next_action(self): if self.state.analysis_results.confidence > 0.7: return "generate_report" return "additional_research" - + @listen("generate_report") def final_report(self): reporting_crew = ReportingCrew() @@ -439,7 +439,7 @@ class CrewOrchestrationFlow(Flow[WorkflowState]): ## CrewAI Version Compatibility: - Stay updated with CrewAI releases for new features and bug fixes - Test crew functionality when upgrading CrewAI versions -- Use version constraints in pyproject.toml (e.g., "crewai[tools]>=0.134.0,<1.0.0") +- Use version constraints in pyproject.toml (e.g., "crewai[tools]>=0.140.0,<1.0.0") - Monitor deprecation warnings for future compatibility ## Code Examples and Implementation Patterns @@ -464,22 +464,22 @@ class ResearchOutput(BaseModel): @CrewBase class ResearchCrew(): """Advanced research crew with structured outputs and validation""" - + agents: List[BaseAgent] tasks: List[Task] - + @before_kickoff def setup_environment(self): """Initialize environment before crew execution""" print("🚀 Setting up research environment...") # Validate API keys, create directories, etc. - + @after_kickoff def cleanup_and_report(self, output): """Handle post-execution tasks""" print(f"✅ Research completed. Generated {len(output.tasks_output)} task outputs") print(f"📊 Token usage: {output.token_usage}") - + @agent def researcher(self) -> Agent: return Agent( @@ -490,7 +490,7 @@ class ResearchCrew(): max_iter=15, max_execution_time=1800 ) - + @agent def analyst(self) -> Agent: return Agent( @@ -499,7 +499,7 @@ class ResearchCrew(): verbose=True, memory=True ) - + @task def research_task(self) -> Task: return Task( @@ -507,7 +507,7 @@ class ResearchCrew(): agent=self.researcher(), output_pydantic=ResearchOutput ) - + @task def validation_task(self) -> Task: return Task( @@ -517,7 +517,7 @@ class ResearchCrew(): guardrail=self.validate_research_quality, max_retries=3 ) - + def validate_research_quality(self, output) -> tuple[bool, str]: """Custom guardrail to ensure research quality""" content = output.raw @@ -526,7 +526,7 @@ class ResearchCrew(): if not any(keyword in content.lower() for keyword in ['conclusion', 'finding', 'result']): return False, "Missing key analytical elements." return True, content - + @crew def crew(self) -> Crew: return Crew( @@ -557,13 +557,13 @@ class RobustSearchTool(BaseTool): name: str = "robust_search" description: str = "Perform web search with retry logic and error handling" args_schema: Type[BaseModel] = SearchInput - + def __init__(self, api_key: Optional[str] = None, **kwargs): super().__init__(**kwargs) self.api_key = api_key or os.getenv("SEARCH_API_KEY") self.rate_limit_delay = 1.0 self.last_request_time = 0 - + @retry( stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=4, max=10) @@ -575,43 +575,43 @@ class RobustSearchTool(BaseTool): time_since_last = time.time() - self.last_request_time if time_since_last < self.rate_limit_delay: time.sleep(self.rate_limit_delay - time_since_last) - + # Input validation if not query or len(query.strip()) == 0: return "Error: Empty search query provided" - + if len(query) > 500: return "Error: Search query too long (max 500 characters)" - + # Perform search results = self._perform_search(query, max_results, timeout) self.last_request_time = time.time() - + return self._format_results(results) - + except requests.exceptions.Timeout: return f"Search timed out after {timeout} seconds" except requests.exceptions.RequestException as e: return f"Search failed due to network error: {str(e)}" except Exception as e: return f"Unexpected error during search: {str(e)}" - + def _perform_search(self, query: str, max_results: int, timeout: int) -> List[dict]: """Implement actual search logic here""" # Your search API implementation pass - + def _format_results(self, results: List[dict]) -> str: """Format search results for LLM consumption""" if not results: return "No results found for the given query." - + formatted = "Search Results:\n\n" for i, result in enumerate(results[:10], 1): formatted += f"{i}. {result.get('title', 'No title')}\n" formatted += f" URL: {result.get('url', 'No URL')}\n" formatted += f" Summary: {result.get('snippet', 'No summary')}\n\n" - + return formatted ``` @@ -623,20 +623,20 @@ from crewai.memory.storage.mem0_storage import Mem0Storage class AdvancedMemoryManager: """Enhanced memory management for CrewAI applications""" - + def __init__(self, crew, config: dict = None): self.crew = crew self.config = config or {} self.setup_memory_systems() - + def setup_memory_systems(self): """Configure multiple memory systems""" # Short-term memory for current session self.short_term = ShortTermMemory() - + # Long-term memory for cross-session persistence self.long_term = LongTermMemory() - + # External memory with Mem0 (if configured) if self.config.get('use_external_memory'): self.external = ExternalMemory.create_storage( @@ -649,8 +649,8 @@ class AdvancedMemoryManager: } } ) - - def save_with_context(self, content: str, memory_type: str = "short_term", + + def save_with_context(self, content: str, memory_type: str = "short_term", metadata: dict = None, agent: str = None): """Save content with enhanced metadata""" enhanced_metadata = { @@ -659,14 +659,14 @@ class AdvancedMemoryManager: "crew_type": self.crew.__class__.__name__, **(metadata or {}) } - + if memory_type == "short_term": self.short_term.save(content, enhanced_metadata, agent) elif memory_type == "long_term": self.long_term.save(content, enhanced_metadata, agent) elif memory_type == "external" and hasattr(self, 'external'): self.external.save(content, enhanced_metadata, agent) - + def search_across_memories(self, query: str, limit: int = 5) -> dict: """Search across all memory systems""" results = { @@ -674,23 +674,23 @@ class AdvancedMemoryManager: "long_term": [], "external": [] } - + # Search short-term memory results["short_term"] = self.short_term.search(query, limit=limit) - + # Search long-term memory results["long_term"] = self.long_term.search(query, limit=limit) - + # Search external memory (if available) if hasattr(self, 'external'): results["external"] = self.external.search(query, limit=limit) - + return results - + def cleanup_old_memories(self, days_threshold: int = 30): """Clean up old memories based on age""" cutoff_time = time.time() - (days_threshold * 24 * 60 * 60) - + # Implement cleanup logic based on timestamps in metadata # This would vary based on your specific storage implementation pass @@ -719,12 +719,12 @@ class TaskMetrics: class CrewMonitor: """Comprehensive monitoring for CrewAI applications""" - + def __init__(self, crew_name: str, log_level: str = "INFO"): self.crew_name = crew_name self.metrics: List[TaskMetrics] = [] self.session_start = time.time() - + # Setup logging logging.basicConfig( level=getattr(logging, log_level), @@ -735,7 +735,7 @@ class CrewMonitor: ] ) self.logger = logging.getLogger(f"CrewAI.{crew_name}") - + def start_task_monitoring(self, task_name: str, agent_name: str) -> dict: """Start monitoring a task execution""" context = { @@ -743,16 +743,16 @@ class CrewMonitor: "agent_name": agent_name, "start_time": time.time() } - + self.logger.info(f"Task started: {task_name} by {agent_name}") return context - - def end_task_monitoring(self, context: dict, success: bool = True, + + def end_task_monitoring(self, context: dict, success: bool = True, tokens_used: int = 0, error: str = None): """End monitoring and record metrics""" end_time = time.time() duration = end_time - context["start_time"] - + # Get memory usage (if psutil is available) memory_usage = None try: @@ -761,7 +761,7 @@ class CrewMonitor: memory_usage = process.memory_info().rss / 1024 / 1024 # MB except ImportError: pass - + metrics = TaskMetrics( task_name=context["task_name"], agent_name=context["agent_name"], @@ -773,29 +773,29 @@ class CrewMonitor: error_message=error, memory_usage_mb=memory_usage ) - + self.metrics.append(metrics) - + # Log the completion status = "SUCCESS" if success else "FAILED" self.logger.info(f"Task {status}: {context['task_name']} " f"(Duration: {duration:.2f}s, Tokens: {tokens_used})") - + if error: self.logger.error(f"Task error: {error}") - + def get_performance_summary(self) -> Dict[str, Any]: """Generate comprehensive performance summary""" if not self.metrics: return {"message": "No metrics recorded yet"} - + successful_tasks = [m for m in self.metrics if m.success] failed_tasks = [m for m in self.metrics if not m.success] - + total_duration = sum(m.duration for m in self.metrics) total_tokens = sum(m.tokens_used for m in self.metrics) avg_duration = total_duration / len(self.metrics) - + return { "crew_name": self.crew_name, "session_duration": time.time() - self.session_start, @@ -811,7 +811,7 @@ class CrewMonitor: "most_token_intensive": max(self.metrics, key=lambda x: x.tokens_used).task_name if self.metrics else None, "common_errors": self._get_common_errors() } - + def _get_common_errors(self) -> Dict[str, int]: """Get frequency of common errors""" error_counts = {} @@ -819,20 +819,20 @@ class CrewMonitor: if metric.error_message: error_counts[metric.error_message] = error_counts.get(metric.error_message, 0) + 1 return dict(sorted(error_counts.items(), key=lambda x: x[1], reverse=True)) - + def export_metrics(self, filename: str = None) -> str: """Export metrics to JSON file""" if not filename: filename = f"crew_metrics_{self.crew_name}_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json" - + export_data = { "summary": self.get_performance_summary(), "detailed_metrics": [asdict(m) for m in self.metrics] } - + with open(filename, 'w') as f: json.dump(export_data, f, indent=2, default=str) - + self.logger.info(f"Metrics exported to {filename}") return filename @@ -847,10 +847,10 @@ def monitored_research_task(self) -> Task: if context: tokens = getattr(task_output, 'token_usage', {}).get('total', 0) monitor.end_task_monitoring(context, success=True, tokens_used=tokens) - + # Start monitoring would be called before task execution # This is a simplified example - in practice you'd integrate this into the task execution flow - + return Task( config=self.tasks_config['research_task'], agent=self.researcher(), @@ -872,7 +872,7 @@ class ErrorSeverity(Enum): class CrewError(Exception): """Base exception for CrewAI applications""" - def __init__(self, message: str, severity: ErrorSeverity = ErrorSeverity.MEDIUM, + def __init__(self, message: str, severity: ErrorSeverity = ErrorSeverity.MEDIUM, context: dict = None): super().__init__(message) self.severity = severity @@ -893,19 +893,19 @@ class ConfigurationError(CrewError): class ErrorHandler: """Centralized error handling for CrewAI applications""" - + def __init__(self, crew_name: str): self.crew_name = crew_name self.error_log: List[CrewError] = [] self.recovery_strategies: Dict[type, Callable] = {} - + def register_recovery_strategy(self, error_type: type, strategy: Callable): """Register a recovery strategy for specific error types""" self.recovery_strategies[error_type] = strategy - + def handle_error(self, error: Exception, context: dict = None) -> Any: """Handle errors with appropriate recovery strategies""" - + # Convert to CrewError if needed if not isinstance(error, CrewError): crew_error = CrewError( @@ -915,11 +915,11 @@ class ErrorHandler: ) else: crew_error = error - + # Log the error self.error_log.append(crew_error) self._log_error(crew_error) - + # Apply recovery strategy if available error_type = type(error) if error_type in self.recovery_strategies: @@ -931,21 +931,21 @@ class ErrorHandler: ErrorSeverity.HIGH, {"original_error": str(error), "recovery_error": str(recovery_error)} )) - + # If critical, re-raise if crew_error.severity == ErrorSeverity.CRITICAL: raise crew_error - + return None - + def _log_error(self, error: CrewError): """Log error with appropriate level based on severity""" logger = logging.getLogger(f"CrewAI.{self.crew_name}.ErrorHandler") - + error_msg = f"[{error.severity.value.upper()}] {error}" if error.context: error_msg += f" | Context: {error.context}" - + if error.severity in [ErrorSeverity.HIGH, ErrorSeverity.CRITICAL]: logger.error(error_msg) logger.error(f"Stack trace: {traceback.format_exc()}") @@ -953,16 +953,16 @@ class ErrorHandler: logger.warning(error_msg) else: logger.info(error_msg) - + def get_error_summary(self) -> Dict[str, Any]: """Get summary of errors encountered""" if not self.error_log: return {"total_errors": 0} - + severity_counts = {} for error in self.error_log: severity_counts[error.severity.value] = severity_counts.get(error.severity.value, 0) + 1 - + return { "total_errors": len(self.error_log), "severity_breakdown": severity_counts, @@ -1004,7 +1004,7 @@ def robust_task(self) -> Task: # Use fallback response return "Task failed, using fallback response" return wrapper - + return Task( config=self.tasks_config['research_task'], agent=self.researcher() @@ -1020,60 +1020,60 @@ from pydantic import BaseSettings, Field, validator class Environment(str, Enum): DEVELOPMENT = "development" - TESTING = "testing" + TESTING = "testing" STAGING = "staging" PRODUCTION = "production" class CrewAISettings(BaseSettings): """Comprehensive settings management for CrewAI applications""" - + # Environment environment: Environment = Field(default=Environment.DEVELOPMENT) debug: bool = Field(default=True) - + # API Keys (loaded from environment) openai_api_key: Optional[str] = Field(default=None, env="OPENAI_API_KEY") anthropic_api_key: Optional[str] = Field(default=None, env="ANTHROPIC_API_KEY") serper_api_key: Optional[str] = Field(default=None, env="SERPER_API_KEY") mem0_api_key: Optional[str] = Field(default=None, env="MEM0_API_KEY") - + # CrewAI Configuration crew_max_rpm: int = Field(default=100) crew_max_execution_time: int = Field(default=3600) # 1 hour default_llm_model: str = Field(default="gpt-4") fallback_llm_model: str = Field(default="gpt-3.5-turbo") - + # Memory and Storage crewai_storage_dir: str = Field(default="./storage", env="CREWAI_STORAGE_DIR") memory_enabled: bool = Field(default=True) memory_cleanup_interval: int = Field(default=86400) # 24 hours in seconds - + # Performance enable_caching: bool = Field(default=True) max_retries: int = Field(default=3) retry_delay: float = Field(default=1.0) - + # Monitoring enable_monitoring: bool = Field(default=True) log_level: str = Field(default="INFO") metrics_export_interval: int = Field(default=3600) # 1 hour - + # Security input_sanitization: bool = Field(default=True) max_input_length: int = Field(default=10000) allowed_file_types: list = Field(default=["txt", "md", "pdf", "docx"]) - + @validator('environment', pre=True) def set_debug_based_on_env(cls, v): return v - + @validator('debug') def set_debug_from_env(cls, v, values): env = values.get('environment') if env == Environment.PRODUCTION: return False return v - + @validator('openai_api_key') def validate_openai_key(cls, v): if not v: @@ -1081,15 +1081,15 @@ class CrewAISettings(BaseSettings): if not v.startswith('sk-'): raise ValueError("Invalid OpenAI API key format") return v - + @property def is_production(self) -> bool: return self.environment == Environment.PRODUCTION - + @property def is_development(self) -> bool: return self.environment == Environment.DEVELOPMENT - + def get_llm_config(self) -> Dict[str, Any]: """Get LLM configuration based on environment""" config = { @@ -1098,12 +1098,12 @@ class CrewAISettings(BaseSettings): "max_tokens": 4000 if self.is_production else 2000, "timeout": 60 } - + if self.is_development: config["model"] = self.fallback_llm_model - + return config - + def get_memory_config(self) -> Dict[str, Any]: """Get memory configuration""" return { @@ -1112,7 +1112,7 @@ class CrewAISettings(BaseSettings): "cleanup_interval": self.memory_cleanup_interval, "provider": "mem0" if self.mem0_api_key and self.is_production else "local" } - + class Config: env_file = ".env" env_file_encoding = 'utf-8' @@ -1125,25 +1125,25 @@ settings = CrewAISettings() @CrewBase class ConfigurableCrew(): """Crew that uses centralized configuration""" - + def __init__(self): self.settings = settings self.validate_configuration() - + def validate_configuration(self): """Validate configuration before crew execution""" required_keys = [self.settings.openai_api_key] if not all(required_keys): raise ConfigurationError("Missing required API keys") - + if not os.path.exists(self.settings.crewai_storage_dir): os.makedirs(self.settings.crewai_storage_dir, exist_ok=True) - + @agent def adaptive_agent(self) -> Agent: """Agent that adapts to configuration""" llm_config = self.settings.get_llm_config() - + return Agent( config=self.agents_config['researcher'], llm=llm_config["model"], @@ -1163,7 +1163,7 @@ from crewai.tasks.task_output import TaskOutput class CrewAITestFramework: """Comprehensive testing framework for CrewAI applications""" - + @staticmethod def create_mock_agent(role: str = "test_agent", tools: list = None) -> Mock: """Create a mock agent for testing""" @@ -1175,9 +1175,9 @@ class CrewAITestFramework: mock_agent.llm = "gpt-3.5-turbo" mock_agent.verbose = False return mock_agent - + @staticmethod - def create_mock_task_output(content: str, success: bool = True, + def create_mock_task_output(content: str, success: bool = True, tokens: int = 100) -> TaskOutput: """Create a mock task output for testing""" return TaskOutput( @@ -1187,13 +1187,13 @@ class CrewAITestFramework: pydantic=None, json_dict=None ) - + @staticmethod def create_test_crew(agents: list = None, tasks: list = None) -> Crew: """Create a test crew with mock components""" test_agents = agents or [CrewAITestFramework.create_mock_agent()] test_tasks = tasks or [] - + return Crew( agents=test_agents, tasks=test_tasks, @@ -1203,53 +1203,53 @@ class CrewAITestFramework: # Example test cases class TestResearchCrew: """Test cases for research crew functionality""" - + def setup_method(self): """Setup test environment""" self.framework = CrewAITestFramework() self.mock_serper = Mock() - + @patch('crewai_tools.SerperDevTool') def test_agent_creation(self, mock_serper_tool): """Test agent creation with proper configuration""" mock_serper_tool.return_value = self.mock_serper - + crew = ResearchCrew() researcher = crew.researcher() - + assert researcher.role == "Senior Research Analyst" assert len(researcher.tools) > 0 assert researcher.verbose is True - + def test_task_validation(self): """Test task validation logic""" crew = ResearchCrew() - + # Test valid output valid_output = self.framework.create_mock_task_output( "This is a comprehensive research summary with conclusions and findings." ) is_valid, message = crew.validate_research_quality(valid_output) assert is_valid is True - + # Test invalid output (too short) invalid_output = self.framework.create_mock_task_output("Too short") is_valid, message = crew.validate_research_quality(invalid_output) assert is_valid is False assert "brief" in message.lower() - + @patch('requests.get') def test_tool_error_handling(self, mock_requests): """Test tool error handling and recovery""" # Simulate network error mock_requests.side_effect = requests.exceptions.RequestException("Network error") - + tool = RobustSearchTool() result = tool._run("test query") - + assert "network error" in result.lower() assert "failed" in result.lower() - + @pytest.mark.asyncio async def test_crew_execution_flow(self): """Test complete crew execution with mocked dependencies""" @@ -1257,18 +1257,18 @@ class TestResearchCrew: mock_execute.return_value = self.framework.create_mock_task_output( "Research completed successfully with findings and recommendations." ) - + crew = ResearchCrew() result = crew.crew().kickoff(inputs={"topic": "AI testing"}) - + assert result is not None assert "successfully" in result.raw.lower() - + def test_memory_integration(self): """Test memory system integration""" crew = ResearchCrew() memory_manager = AdvancedMemoryManager(crew) - + # Test saving to memory test_content = "Important research finding about AI" memory_manager.save_with_context( @@ -1277,34 +1277,34 @@ class TestResearchCrew: metadata={"importance": "high"}, agent="researcher" ) - + # Test searching memory results = memory_manager.search_across_memories("AI research") assert "short_term" in results - + def test_error_handling_workflow(self): """Test error handling and recovery mechanisms""" error_handler = ErrorHandler("test_crew") - + # Test error registration and handling test_error = TaskExecutionError("Test task failed", ErrorSeverity.MEDIUM) result = error_handler.handle_error(test_error) - + assert len(error_handler.error_log) == 1 assert error_handler.error_log[0].severity == ErrorSeverity.MEDIUM - + def test_configuration_validation(self): """Test configuration validation""" # Test with missing API key with patch.dict(os.environ, {}, clear=True): with pytest.raises(ValueError): settings = CrewAISettings() - + # Test with valid configuration with patch.dict(os.environ, {"OPENAI_API_KEY": "sk-test-key"}): settings = CrewAISettings() assert settings.openai_api_key == "sk-test-key" - + @pytest.mark.integration def test_end_to_end_workflow(self): """Integration test for complete workflow""" @@ -1315,41 +1315,41 @@ class TestResearchCrew: # Performance testing class TestCrewPerformance: """Performance tests for CrewAI applications""" - + def test_memory_usage(self): """Test memory usage during crew execution""" import psutil import gc - + process = psutil.Process() initial_memory = process.memory_info().rss - + # Create and run crew multiple times for i in range(10): crew = ResearchCrew() # Simulate crew execution del crew gc.collect() - + final_memory = process.memory_info().rss memory_increase = final_memory - initial_memory - + # Assert memory increase is reasonable (less than 100MB) assert memory_increase < 100 * 1024 * 1024 - + def test_concurrent_execution(self): """Test concurrent crew execution""" import concurrent.futures - + def run_crew(crew_id): crew = ResearchCrew() # Simulate execution return f"crew_{crew_id}_completed" - + with concurrent.futures.ThreadPoolExecutor(max_workers=3) as executor: futures = [executor.submit(run_crew, i) for i in range(5)] results = [future.result() for future in futures] - + assert len(results) == 5 assert all("completed" in result for result in results) @@ -1400,7 +1400,7 @@ class TestCrewPerformance: ### Development: 1. Always use .env files for sensitive configuration -2. Implement comprehensive error handling and logging +2. Implement comprehensive error handling and logging 3. Use structured outputs with Pydantic for reliability 4. Test crew functionality with different input scenarios 5. Follow CrewAI patterns and conventions consistently @@ -1426,4 +1426,4 @@ class TestCrewPerformance: 5. Use async patterns for I/O-bound operations 6. Implement proper connection pooling and resource management 7. Profile and optimize critical paths -8. Plan for horizontal scaling when needed \ No newline at end of file +8. Plan for horizontal scaling when needed diff --git a/pyproject.toml b/pyproject.toml index df600b8a8..826aaee47 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -33,7 +33,7 @@ dependencies = [ "click>=8.1.7", "appdirs>=1.4.4", "jsonref>=1.1.0", - "json-repair>=0.25.2", + "json-repair==0.25.2", "uv>=0.4.25", "tomli-w>=1.1.0", "tomli>=2.0.2", @@ -47,11 +47,11 @@ Documentation = "https://docs.crewai.com" Repository = "https://github.com/crewAIInc/crewAI" [project.optional-dependencies] -tools = ["crewai-tools~=0.48.0"] +tools = ["crewai-tools~=0.49.0"] embeddings = [ "tiktoken~=0.8.0" ] -agentops = ["agentops>=0.3.0"] +agentops = ["agentops==0.3.18"] pdfplumber = [ "pdfplumber>=0.11.4", ] @@ -123,3 +123,15 @@ path = "src/crewai/__init__.py" [build-system] requires = ["hatchling"] build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +exclude = [ +"docs/**", +"docs/", +] + +[tool.hatch.build.targets.sdist] +exclude = [ +"docs/**", +"docs/", +] diff --git a/src/crewai/__init__.py b/src/crewai/__init__.py index 0bab2ee92..2898cd6f2 100644 --- a/src/crewai/__init__.py +++ b/src/crewai/__init__.py @@ -28,19 +28,19 @@ _telemetry_submitted = False def _track_install(): """Track package installation/first-use via Scarf analytics.""" global _telemetry_submitted - + if _telemetry_submitted or Telemetry._is_telemetry_disabled(): return - + try: pixel_url = "https://api.scarf.sh/v2/packages/CrewAI/crewai/docs/00f2dad1-8334-4a39-934e-003b2e1146db" - + req = urllib.request.Request(pixel_url) req.add_header('User-Agent', f'CrewAI-Python/{__version__}') - + with urllib.request.urlopen(req, timeout=2): # nosec B310 _telemetry_submitted = True - + except Exception: pass @@ -54,7 +54,7 @@ def _track_install_async(): _track_install_async() -__version__ = "0.134.0" +__version__ = "0.140.0" __all__ = [ "Agent", "Crew", diff --git a/src/crewai/cli/templates/crew/pyproject.toml b/src/crewai/cli/templates/crew/pyproject.toml index b8e2a7759..b87433f51 100644 --- a/src/crewai/cli/templates/crew/pyproject.toml +++ b/src/crewai/cli/templates/crew/pyproject.toml @@ -5,7 +5,7 @@ description = "{{name}} using crewAI" authors = [{ name = "Your Name", email = "you@example.com" }] requires-python = ">=3.10,<3.14" dependencies = [ - "crewai[tools]>=0.134.0,<1.0.0" + "crewai[tools]>=0.140.0,<1.0.0" ] [project.scripts] diff --git a/src/crewai/cli/templates/flow/pyproject.toml b/src/crewai/cli/templates/flow/pyproject.toml index 10e034f5c..769ef18e5 100644 --- a/src/crewai/cli/templates/flow/pyproject.toml +++ b/src/crewai/cli/templates/flow/pyproject.toml @@ -5,7 +5,7 @@ description = "{{name}} using crewAI" authors = [{ name = "Your Name", email = "you@example.com" }] requires-python = ">=3.10,<3.14" dependencies = [ - "crewai[tools]>=0.134.0,<1.0.0", + "crewai[tools]>=0.140.0,<1.0.0", ] [project.scripts] diff --git a/src/crewai/cli/templates/tool/pyproject.toml b/src/crewai/cli/templates/tool/pyproject.toml index 53bdf87c1..bd9f9f746 100644 --- a/src/crewai/cli/templates/tool/pyproject.toml +++ b/src/crewai/cli/templates/tool/pyproject.toml @@ -5,7 +5,7 @@ description = "Power up your crews with {{folder_name}}" readme = "README.md" requires-python = ">=3.10,<3.14" dependencies = [ - "crewai[tools]>=0.134.0" + "crewai[tools]>=0.140.0" ] [tool.crewai] diff --git a/tests/cassettes/test_cache_hitting_between_agents.yaml b/tests/cassettes/test_cache_hitting_between_agents.yaml index a100e8b3a..28b9ae2cb 100644 --- a/tests/cassettes/test_cache_hitting_between_agents.yaml +++ b/tests/cassettes/test_cache_hitting_between_agents.yaml @@ -617,4 +617,125 @@ interactions: - req_cc65ee617fcbd98b7a8c3a597ed5b245 http_version: HTTP/1.1 status_code: 200 +- request: + body: null + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate, zstd + Connection: + - keep-alive + User-Agent: + - python-requests/2.32.4 + method: GET + uri: https://pypi.org/pypi/agentops/json + response: + body: + string: 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call + for call in read.call_args_list + if len(call.kwargs) == 2 + and "tool" in call.kwargs + and "input" in call.kwargs ] - read.assert_has_calls(expected_calls, any_order=False) + + # Check if we have the expected number of cache calls + assert len(cache_calls) == 2, f"Expected 2 cache calls, got {len(cache_calls)}" + + # Check if both calls were made with the expected arguments + expected_call = call( + tool="multiplier", input={"first_number": 2, "second_number": 6} + ) + assert cache_calls[0] == expected_call, f"First call mismatch: {cache_calls[0]}" + assert ( + cache_calls[1] == expected_call + ), f"Second call mismatch: {cache_calls[1]}" @pytest.mark.vcr(filter_headers=["authorization"]) @@ -1797,7 +1813,7 @@ def test_hierarchical_kickoff_usage_metrics_include_manager(researcher): agent=researcher, # *regular* agent ) - # ── 2. Stub out each agent’s _token_process.get_summary() ─────────────────── + # ── 2. Stub out each agent's _token_process.get_summary() ─────────────────── researcher_metrics = UsageMetrics( total_tokens=120, prompt_tokens=80, completion_tokens=40, successful_requests=2 ) @@ -1821,7 +1837,7 @@ def test_hierarchical_kickoff_usage_metrics_include_manager(researcher): process=Process.hierarchical, ) - # We don’t care about LLM output here; patch execute_sync to avoid network + # We don't care about LLM output here; patch execute_sync to avoid network with patch.object( Task, "execute_sync", @@ -2489,17 +2505,19 @@ def test_using_contextual_memory(): memory=True, ) - with patch.object(ContextualMemory, "build_context_for_task", return_value="") as contextual_mem: + with patch.object( + ContextualMemory, "build_context_for_task", return_value="" + ) as contextual_mem: crew.kickoff() contextual_mem.assert_called_once() - @pytest.mark.vcr(filter_headers=["authorization"]) def test_memory_events_are_emitted(): events = defaultdict(list) with crewai_event_bus.scoped_handlers(): + @crewai_event_bus.on(MemorySaveStartedEvent) def handle_memory_save_started(source, event): events["MemorySaveStartedEvent"].append(event) @@ -2562,6 +2580,7 @@ def test_memory_events_are_emitted(): assert len(events["MemoryRetrievalStartedEvent"]) == 1 assert len(events["MemoryRetrievalCompletedEvent"]) == 1 + @pytest.mark.vcr(filter_headers=["authorization"]) def test_using_contextual_memory_with_long_term_memory(): from unittest.mock import patch @@ -2585,7 +2604,9 @@ def test_using_contextual_memory_with_long_term_memory(): long_term_memory=LongTermMemory(), ) - with patch.object(ContextualMemory, "build_context_for_task", return_value="") as contextual_mem: + with patch.object( + ContextualMemory, "build_context_for_task", return_value="" + ) as contextual_mem: crew.kickoff() contextual_mem.assert_called_once() assert crew.memory is False @@ -2686,7 +2707,9 @@ def test_using_contextual_memory_with_short_term_memory(): short_term_memory=ShortTermMemory(), ) - with 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