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:

  1. Check Component Compatibility

  2. Verify Data Types

    • Ensure output type matches input requirements

    • Check for data format mismatches (string vs object)

    • Validate component schemas

    • Review data transformation needs

  3. Review Component Configuration

    • Check all required fields are filled

    • Verify API keys and credentials

    • Confirm endpoint URLs are correct

    • Test component settings individually

  4. 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:

  1. Check Data Mapping

    • Verify field mappings between components

    • Check for missing required fields

    • Validate data transformations

  2. Test Data Flow

    • Use playground to test individual components

    • Check intermediate outputs

    • Validate data at each step

  3. 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:

  1. Identify Bottlenecks

    • Check execution times for each component

    • Monitor resource usage

    • Identify slowest components

  2. Component Analysis

    {
      "performance_metrics": {
        "component_name": "OpenAI GPT-4",
        "execution_time": 15000,
        "input_size": 5000,
        "output_size": 1200,
        "api_calls": 1
      }
    }
  3. 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:

  1. Adjust Timeout Settings

    {
      "timeout_settings": {
        "default": 30000,
        "llm_calls": 60000,
        "file_processing": 120000,
        "api_requests": 10000
      }
    }
  2. Break Down Large Tasks

    • Split large workflows into smaller chunks

    • Use async processing where possible

    • Implement checkpoint/resume functionality

  3. 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:

  1. Model Configuration

    {
      "model_config": {
        "model": "gpt-4",
        "temperature": 0.7,
        "max_tokens": 1000,
        "top_p": 1.0,
        "frequency_penalty": 0,
        "presence_penalty": 0
      }
    }
  2. Input Validation

    • Check prompt format and length

    • Validate input parameters

    • Ensure proper context setup

  3. Output Processing

    • Handle model response formats

    • Check for truncated responses

    • Validate output against expected schema

Data Processing Components

Problem: Data processing components failing

Solutions:

  1. Input Format Validation

    • Check supported file formats

    • Validate data structure

    • Ensure proper encoding (UTF-8)

  2. Processing Limits

    • Check file size limits (max 100MB)

    • Validate text length limits

    • Monitor processing quotas

  3. 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:

  1. API Credentials

    • Verify API keys are valid

    • Check authentication methods

    • Confirm endpoint URLs

  2. Service Status

    • Check third-party service status

    • Verify API availability

    • Monitor service limits

  3. 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:

  1. Validation Checks

    • Ensure all required components are configured

    • Check for circular dependencies

    • Validate workflow structure

  2. Permission Issues

    • Verify workflow publish status

    • Check execution permissions

    • Confirm API access rights

  3. Resource Availability

    • Check account quotas

    • Verify service availability

    • Monitor system resources

Partial Workflow Execution

Problem: Workflow stops partway through execution

Solutions:

  1. Error Handling

    • Check component error messages

    • Review execution logs

    • Identify failing component

  2. Recovery Mechanisms

    {
      "retry_config": {
        "max_retries": 3,
        "retry_delay": 1000,
        "exponential_backoff": true,
        "retry_on_errors": ["timeout", "rate_limit"]
      }
    }
  3. 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:

  1. Memory Configuration

    {
      "memory": {
        "type": "conversation_buffer",
        "max_token_limit": 2000,
        "return_messages": true,
        "session_id": "user_123",
        "memory_key": "chat_history"
      }
    }
  2. Session Management

    • Use consistent session IDs

    • Implement session cleanup

    • Monitor memory usage

    • Handle session expiration

  3. 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:

  1. Storage Configuration

    {
      "state_storage": {
        "enabled": true,
        "backend": "database",
        "serialization": "json",
        "compression": true
      }
    }
  2. 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

  1. Unit Testing

    • Test individual components

    • Validate component configuration

    • Check data transformations

  2. Integration Testing

    • Test component connections

    • Validate data flow

    • Check end-to-end execution

  3. 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

  1. Component Organization

    • Group related components

    • Use clear naming conventions

    • Document component purposes

    • Implement error handling

  2. Performance Optimization

    • Minimize component count

    • Use efficient data structures

    • Implement caching strategies

    • Monitor resource usage

  3. Testing and Validation

    • Test workflows thoroughly

    • Validate all input scenarios

    • Implement proper error handling

    • Monitor workflow performance

Monitoring and Maintenance

  1. Regular Monitoring

    • Check workflow performance

    • Monitor error rates

    • Review component usage

    • Update configurations as needed

  2. Maintenance Tasks

    • Update component versions

    • Review and optimize workflows

    • Clean up unused components

    • Backup workflow configurations

Getting Help

If workflow issues persist:

  1. Documentation: Check component-specific documentation

  2. Community: Search community forums for similar issues

  3. Support: Contact support with workflow details

  4. Include:

    • Workflow ID

    • Component configurations

    • Error messages

    • Execution logs


Use the workflow playground to test and debug components individually before integrating them into complex workflows.

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