We built GraphBit - an enterprise LLM framework that just works

Hey PH! We’ve been heads-down on GraphBit, a framework to build reliable AI agents. Rust performance under the hood, Python-simple on the surface.

What’s different: typed, declarative workflows, built-in retries/circuit breakers, execution tracing, multi-LLM support, and resource controls for prod workloads. More in the docs: docs.graphbit.ai.

Would love your take on:

• Top 1–2 things that break when you move agents from demo → production

• Must-have “batteries included” for RAG pipelines

• Telemetry you rely on when agents call tools / other services

Happy to share our internal benchmarks and architecture notes in the thread if helpful. Thanks!