klingai-async-workflows
Build asynchronous video generation workflows with Kling AI. Use when integrating video generation into larger systems or pipelines. Trigger with phrases like 'klingai async', 'kling ai workflow', 'klingai pipeline', 'async video generation'.
- License 许可
- MIT
- 最近更新
- 2026-11-13
- Stars
- ★ 2.0k
- Forks
- 233
01 前言 Front Matter
- name
- klingai-async-workflows
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- license
- MIT
- version
- 1.0.0
- description
- Build asynchronous video generation workflows with Kling AI. Use when integrating video generation into larger systems or pipelines. Trigger with phrases like 'klingai async', 'kling ai workflow', 'klingai pipeline', 'async video generation'.
- allowed-tools
- Read, Write, Edit, Grep
02 资源文件 5
- 参考文档references/errors.md257 B
- 参考文档references/examples.md75 B
- 参考文档references/redis-queue-integration.md2.8 KB
- 参考文档references/workflow-implementation.md3.7 KB
- 参考文档references/workflow-state-machine.md3.4 KB
03 SKILL.md 正文
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:
- Design Workflow: Map out the video generation pipeline
- Implement Queue: Set up job queue for async processing
- Create Workers: Build workers to process jobs
- Handle States: Manage job state transitions
- 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
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