Skip to main content

LangFlow Integration

Overview​

The Voice Feature system integrates seamlessly with LangFlow to provide automated processing workflows for transcribed audio content, enabling sophisticated analysis and transformation of voice data.

Integration Architecture​

Connection Types​

  • API Integration: Direct REST API communication
  • Webhook Support: Real-time event notifications
  • Batch Processing: Bulk operation handling
  • Stream Processing: Real-time data flows

Data Flow​

Voice Upload → Transcription → Automation Rules → LangFlow → Results Storage

Flow Configuration​

Flow Requirements​

Input Specifications​

Flows must accept the following input parameters:

  • transcription_text: Complete audio transcription
  • conversation_id: Id for the audio file created in database (UUID)
  • file_metadata: Audio file information (duration, format, size)
  • processing_context: Upload source and user information
  • custom_parameters: Rule-specific configuration data

Output Requirements​

Flows should return structured data including:

  • processing_results: Main analysis output
  • metadata: Processing information
  • status: Success/error indicators
  • artifacts: Generated files or data

Flow Types​

Text Analysis Flows​

  • Sentiment analysis
  • Topic extraction
  • Key phrase identification
  • Content classification
  • Language detection

Content Processing Flows​

  • Summary generation
  • Translation services
  • Entity extraction
  • Intent recognition
  • Content enrichment

Business Logic Flows​

  • Compliance checking
  • Quality assessment
  • Routing decisions
  • Data validation
  • Custom business rules

Parameter Mapping​

Standard Parameters​

Transcription Data​

{
  "transcription_text": "Complete transcribed text",
  "confidence_scores": [0.95, 0.87, 0.92],
  "timestamps": ["00:00:01", "00:00:05", "00:00:12"],
  "language": "en-US"
}

File Metadata​

{
  "filename": "meeting_recording.mp3",
  "duration": 1847,
  "format": "mp3",
  "size": 15728640,
  "upload_date": "2024-01-15T14:30:00Z",
  "owner": "user@example.com"
}

Processing Context​

{
  "origin": "meeting_uploads",
  "automation_rule": "meeting_analysis",
  "processing_id": "proc_123456",
  "execution_time": "2024-01-15T14:35:00Z"
}

Custom Parameters​

Define rule-specific parameters in automation configuration:

  • Business logic variables
  • Processing preferences
  • Output format specifications
  • Integration endpoints

Flow Development Guidelines​

Best Practices​

Input Validation​

  • Validate all input parameters
  • Handle missing data gracefully
  • Provide meaningful error messages
  • Log validation failures

Error Handling​

  • Implement comprehensive error catching
  • Return structured error responses
  • Provide diagnostic information
  • Support retry mechanisms

Output Formatting​

  • Use consistent output structure
  • Include processing metadata
  • Provide status indicators
  • Support multiple output formats

Performance Considerations​

Optimization Tips​

  • Minimize processing time
  • Use efficient algorithms
  • Implement caching where appropriate
  • Monitor resource usage

Scalability​

  • Design for concurrent execution
  • Handle varying input sizes
  • Implement timeout handling
  • Support horizontal scaling

Authentication and Security​

API Authentication​

  • Token-based authentication
  • Role-based access control
  • Secure credential storage
  • Regular token rotation

Data Security​

  • Encryption in transit
  • Secure data handling
  • Privacy compliance
  • Audit trail maintenance

Monitoring and Debugging​

Flow Execution Monitoring​

  • Real-time execution status
  • Performance metrics
  • Error rate tracking
  • Resource utilization

Debugging Tools​

  • Execution logs
  • Parameter inspection
  • Output validation
  • Error stack traces

Performance Analytics​

  • Execution time analysis
  • Success rate trends
  • Resource usage patterns
  • Optimization opportunities

Common Integration Patterns​

Sequential Processing​

Multiple Flows executed in sequence:

  1. Content analysis Flow
  2. Sentiment analysis Flow
  3. Summary generation Flow
  4. Final result compilation

Parallel Processing​

Multiple Flows executed simultaneously:

  • Sentiment analysis
  • Topic extraction
  • Entity recognition
  • Results merged after completion

Conditional Processing​

Flow selection based on content:

IF content_type == "meeting":
  RUN meeting_analysis_flow
ELSE IF content_type == "interview":
  RUN interview_analysis_flow
ELSE:
  RUN general_analysis_flow

Troubleshooting​

Common Issues​

Flow Not Found​

  • Verify Flow ID in automation rule
  • Check Flow availability
  • Validate access permissions
  • Confirm Flow deployment status

Parameter Errors​

  • Review parameter mapping
  • Validate data types
  • Check required parameters
  • Verify parameter formats

Execution Timeouts​

  • Review Flow complexity
  • Check resource allocation
  • Optimize Flow performance
  • Adjust timeout settings

Output Format Issues​

  • Validate output structure
  • Check data serialization
  • Review format requirements
  • Test with sample data

Diagnostic Steps​

  1. Test Flow independently in LangFlow
  2. Verify parameter mapping configuration
  3. Check authentication and permissions
  4. Review execution logs and errors
  5. Validate output format compliance