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myccarl / ai-shortVideo-pipeline

End-to-end AI short-video production pipeline. FastAPI orchestration + Spring Boot gateway with multi-model failover, circuit breaker, metering, and full-stack observability. AI quality gating: prompt anchoring, CLIP consistency, AV sync auto-rescue.

Why this job: says: observability

What it does

  • Seven-layer pipeline architecture. Topic (L1) → Creative (L2) → Visual (L3) → Audio (L4) → Post-production (L5) → Distribution (L6) → Optimization (L7). Layers are decoupled and independently replaceable.
  • Multi-model failover + circuit breaker. Java gateway aggregates DeepSeek / Qwen / GLM with Resilience4j protection; failed providers are automatically rotated.
  • Full-stack observability. trace_id propagated across Java/Python; Langfuse call-tree visibility.
  • Metering & rate limiting. AOP aspect captures token / cost without code changes, aggregated by tenant.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit today
Stars
807
+26 this week
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
None yet
No releases
Built with
Python
79% of the code

Is it looked after?

Contributors
2
Last 90 days
Issues
0% closed
5 still open
Pull requests
2 merged
0 waiting
Releases
None
Never published
  • No contributing guide
  • No security policy
  • No code of conduct
More: languages, topics and project record

Languages

  • Python 79%
  • Java 13%
  • Vue 3%
  • TypeScript 2%

Topics

  • ai
  • short-video
  • video-generation
  • ai-pipeline
  • fastapi
  • spring-boot
  • python
  • java
  • llm
  • prompt-engineering
  • multi-model
  • failover

Project record

  • JobEvals and observability
  • StatusFeatured
  • Commits7
  • Forks186
  • Watching93
  • Stars in 28 days+105
  • CreatedJun 4, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 9, 2026

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