[Backend] Monitor Audio Processing Pipeline and Generate Summary Report with LLM Cost Tracking

[nhphong]

As a developer, I want to monitor the audio processing pipeline and generate a detailed summary report of processing statistics, including error analysis and LLM cost tracking, so that we can identify issues, improve efficiency, and manage costs effectively.

Acceptance Criteria:

1. Pipeline Monitoring:
   • Monitor the audio processing pipeline to check the flow and status of audio files through each stage.
   • Capture detailed statistics, including the number of files processed, errors encountered, and success metrics at each stage.
2. Error Categorization:
   • Categorize errors by type and frequency for each stage in the pipeline.
   • Identify which errors are retryable and which require further investigation.
3. Disinformation Detection Summary:
   • Report the number of audio files identified as containing disinformation versus those that do not at each stage.
   • Provide a breakdown of snippets extracted and analyzed in subsequent stages.
4. LLM Cost Tracking:
   • Track the costs associated with using LLM services (Gemini Flash/Pro and OpenAI Whisper) throughout the audio processing pipeline.
   • Include cost metrics in the summary report to provide insights into resource usage and financial impact.
5. Summary Report Generation:
   • Generate a comprehensive summary report that includes:
     • Total audio files processed
     • Number and types of errors encountered
     • Disinformation detection results
     • Snippet extraction and analysis outcomes
     • LLM usage costs
   • Ensure the report is clear, concise, and suitable for presentation to stakeholders.
6. Automation and Scheduling:
   • Automate the generation of the summary report on a regular basis (e.g., daily).
   • Ensure the report is easily accessible to relevant team members and stakeholders.

Tasks:

• [ ] Implement monitoring tools to track audio processing flow and status.
• [ ] Develop error logging and categorization features.
• [ ] Create mechanisms to track and report disinformation detection results.
• [ ] Integrate LLM cost tracking for Gemini Flash/Pro and OpenAI Whisper into the monitoring system.
• [ ] Design and implement the summary report generation and distribution process.
• [ ] Automate the reporting process to ensure timely updates.

Notes:

• Consider using existing logging and monitoring frameworks to streamline implementation.
• Ensure that tracking and reporting mechanisms are scalable and can handle large volumes of data.
• Collaborate with finance or data teams to accurately track and calculate LLM costs.

[linear[bot]]

VER-165 [Backend] Monitor Audio Processing Pipeline and Generate Summary Report with LLM Cost Tracking