{ }
LLM application framework with chains, agents, RAG, memory, tools, and LangSmith observability.
AI creates the full system diagram from this spec — interactive, explorable, exportable.
| Category | Requirement | Target |
|---|---|---|
| Performance | Chain execution | < 50ms overhead per chain step (excluding LLM call) |
| Scalability | Deployment | LangServe handles 1K+ concurrent chain executions |
| Observability | Tracing | LangSmith traces 100% of calls with < 5ms overhead |
Real-time ride-sharing platform with driver matching, GPS tracking, surge pricing, and payments.
Video streaming platform with personalized recommendations, adaptive bitrate streaming, and content management.
Team messaging platform with channels, direct messages, file sharing, integrations, and real-time search.
Generate the architecture, export as code, push to GitHub — all in one click.