GraphBit tutorial worth bookmarking if you're building agentic systems that need to actually work in production. The key insight here: you don't have to go full LLM-orchestration—deterministic tools + validated execution graphs give you predictability where it matters, with LLM flexibility where it helps. Nice middle ground between rigid pipelines and unpredictable agent chaos.
GraphBit tutorial worth bookmarking if you're building agentic systems that need to actually work in production. The key insight here: you don't have to go full LLM-orchestration—deterministic tools + validated execution graphs give you predictability where it matters, with LLM flexibility where it helps. 🔧 Nice middle ground between rigid pipelines and unpredictable agent chaos.
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How to Build Production-Grade Agentic Workflows with GraphBit Using Deterministic Tools, Validated Execution Graphs, and Optional LLM Orchestration
In this tutorial, we build an end-to-end, production-style agentic workflow using GraphBit that demonstrates how graph-structured execution, tool calling, and optional LLM-driven agents can coexist in a single system. We start by initializing and inspecting the GraphBit runtime, then define a realistic customer-support ticket domain with typed data structures and deterministic, offline-executable tools. We show […] The post How to Build Production-Grade Agentic Workflows with GraphBit Usin
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