Workflow Execution Issues
Troubleshooting workflow execution and component issues in BroxiAI
This guide helps you diagnose and resolve issues related to workflow execution, component connections, and performance problems.
Component Connection Issues
Components Not Connecting
Problem: Components not connecting properly in workflow builder
Symptoms:
Red error indicators on components
"Connection failed" messages
Workflow won't execute
Missing connection lines
Solutions:

Check Component Compatibility
Verify Data Types
Ensure output type matches input requirements
Check for data format mismatches (string vs object)
Validate component schemas
Review data transformation needs
Review Component Configuration
Check all required fields are filled
Verify API keys and credentials
Confirm endpoint URLs are correct
Test component settings individually
Connection Diagnostics
{ "connection_debug": { "source_output": "text", "target_input": "text", "compatible": true, "transformation_needed": false } }
Data Flow Issues
Problem: Data not flowing between components correctly
Solutions:
Check Data Mapping
Verify field mappings between components
Check for missing required fields
Validate data transformations
Test Data Flow
Use playground to test individual components
Check intermediate outputs
Validate data at each step
Debug Mode
Enable debug logging
Check component execution order
Monitor data transformations
Performance Issues
Slow Workflow Execution
Problem: Workflows taking too long to execute
Diagnostic Steps:
Identify Bottlenecks
Check execution times for each component
Monitor resource usage
Identify slowest components
Component Analysis
{ "performance_metrics": { "component_name": "OpenAI GPT-4", "execution_time": 15000, "input_size": 5000, "output_size": 1200, "api_calls": 1 } }
Optimization Strategies
Use faster models for simple tasks
Implement caching for repeated queries
Reduce input/output sizes
Consider parallel processing
Workflow Timeouts
Problem: Workflows timing out before completion
Solutions:
Adjust Timeout Settings
{ "timeout_settings": { "default": 30000, "llm_calls": 60000, "file_processing": 120000, "api_requests": 10000 } }
Break Down Large Tasks
Split large workflows into smaller chunks
Use async processing where possible
Implement checkpoint/resume functionality
Resource Optimization
Reduce model complexity
Optimize input data size
Use streaming for large responses
Component-Specific Issues
AI Model Issues
Problem: AI model components not working correctly
Solutions:
Model Configuration
{ "model_config": { "model": "gpt-4", "temperature": 0.7, "max_tokens": 1000, "top_p": 1.0, "frequency_penalty": 0, "presence_penalty": 0 } }
Input Validation
Check prompt format and length
Validate input parameters
Ensure proper context setup
Output Processing
Handle model response formats
Check for truncated responses
Validate output against expected schema
Data Processing Components
Problem: Data processing components failing
Solutions:
Input Format Validation
Check supported file formats
Validate data structure
Ensure proper encoding (UTF-8)
Processing Limits
Check file size limits (max 100MB)
Validate text length limits
Monitor processing quotas
Error Handling
try: # Process data result = process_data(input_data) except ValidationError as e: # Handle validation errors log_error(f"Validation failed: {e}") except ProcessingError as e: # Handle processing errors log_error(f"Processing failed: {e}")
Integration Components
Problem: Third-party integration components failing
Solutions:
API Credentials
Verify API keys are valid
Check authentication methods
Confirm endpoint URLs
Service Status
Check third-party service status
Verify API availability
Monitor service limits
Configuration
Review integration settings
Check webhook configurations
Validate callback URLs
Workflow States and Execution
Workflow Won't Start
Problem: Workflow fails to initialize or start execution
Solutions:
Validation Checks
Ensure all required components are configured
Check for circular dependencies
Validate workflow structure
Permission Issues
Verify workflow publish status
Check execution permissions
Confirm API access rights
Resource Availability
Check account quotas
Verify service availability
Monitor system resources
Partial Workflow Execution
Problem: Workflow stops partway through execution
Solutions:
Error Handling
Check component error messages
Review execution logs
Identify failing component
Recovery Mechanisms
{ "retry_config": { "max_retries": 3, "retry_delay": 1000, "exponential_backoff": true, "retry_on_errors": ["timeout", "rate_limit"] } }
Checkpoint System
Implement save points
Enable state persistence
Allow workflow resumption
Memory and State Issues
Conversation Memory Problems
Problem: Agent not remembering previous interactions
Solutions:
Memory Configuration
{ "memory": { "type": "conversation_buffer", "max_token_limit": 2000, "return_messages": true, "session_id": "user_123", "memory_key": "chat_history" } }
Session Management
Use consistent session IDs
Implement session cleanup
Monitor memory usage
Handle session expiration
Memory Optimization
Summarize long conversations
Remove irrelevant history
Use efficient memory types
Implement memory pruning
State Persistence Issues
Problem: Workflow state not persisting between runs
Solutions:
Storage Configuration
{ "state_storage": { "enabled": true, "backend": "database", "serialization": "json", "compression": true } }
Persistence Checks
Verify storage permissions
Check storage quotas
Monitor storage usage
Test state serialization
Debug and Testing Tools
Built-in Debugging
Workflow Logs
Access logs from workflow settings
Filter by error level and component
Export logs for detailed analysis
Set up real-time log monitoring
Component Testing
Use playground for individual testing
Test components in isolation
Validate inputs and outputs
Check component performance metrics
Testing Strategies
Unit Testing
Test individual components
Validate component configuration
Check data transformations
Integration Testing
Test component connections
Validate data flow
Check end-to-end execution
Performance Testing
Measure execution times
Monitor resource usage
Test with various input sizes
Common Error Patterns
Configuration Errors
{
"error": "COMPONENT_CONFIGURATION_ERROR",
"message": "Required parameter 'api_key' is missing",
"component": "OpenAI Model",
"solution": "Add API key in component settings"
}
Execution Errors
{
"error": "EXECUTION_TIMEOUT",
"message": "Workflow execution exceeded timeout limit",
"timeout": 30000,
"solution": "Optimize workflow or increase timeout"
}
Connection Errors
{
"error": "COMPONENT_CONNECTION_ERROR",
"message": "Data type mismatch between components",
"source": "text_processor",
"target": "number_analyzer",
"solution": "Add data transformation component"
}
Best Practices
Workflow Design
Component Organization
Group related components
Use clear naming conventions
Document component purposes
Implement error handling
Performance Optimization
Minimize component count
Use efficient data structures
Implement caching strategies
Monitor resource usage
Testing and Validation
Test workflows thoroughly
Validate all input scenarios
Implement proper error handling
Monitor workflow performance
Monitoring and Maintenance
Regular Monitoring
Check workflow performance
Monitor error rates
Review component usage
Update configurations as needed
Maintenance Tasks
Update component versions
Review and optimize workflows
Clean up unused components
Backup workflow configurations
Getting Help
If workflow issues persist:
Documentation: Check component-specific documentation
Community: Search community forums for similar issues
Support: Contact support with workflow details
Include:
Workflow ID
Component configurations
Error messages
Execution logs
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