klingai-async-workflows

# Klingai Async Workflows

## Overview

This skill demonstrates building asynchronous workflows for video generation, including job queues, state machines, event-driven processing, and integration with workflow orchestration systems.

## Prerequisites

- Kling AI API key configured
- Python 3.8+ or Node.js 18+
- Message queue (Redis, RabbitMQ) or workflow engine

## Instructions

Follow these steps to build async workflows:

1. **Design Workflow**: Map out the video generation pipeline
2. **Implement Queue**: Set up job queue for async processing
3. **Create Workers**: Build workers to process jobs
4. **Handle States**: Manage job state transitions
5. **Add Monitoring**: Track workflow progress

## Output

Successful execution produces:
- Validated and queued workflow jobs
- State machine driven processing
- Complete audit trail of transitions
- Reliable job completion or failure handling

## Error Handling

See `{baseDir}/references/errors.md` for comprehensive error handling.

## Examples

See `{baseDir}/references/examples.md` for detailed examples.

## Resources

- [Kling AI API](https://docs.klingai.com/api)
- [Redis Queues](https://redis.io/docs/data-types/lists/)
- [State Machine Patterns](https://python-statemachine.readthedocs.io/)