Rohan Paul (@rohanpaul_ai) · 10/15/2026, 21:15:27
TypeLLM Open-Sources Workflow Model: Achieving Type-Safe Execution via SGLang Constrained Decoding in Single API Call
TypeLLM introduces the first 'workflow model,' enabling developers to define complex dependencies via a single JSON Schema and execute entire workflows in one API call. Built on SGLang, it uses constrained decoding to guarantee type-safe outputs (enums, bounded numbers) without modifying model weights, supporting stock checkpoints like Qwen.
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Rohan Paul (@rohanpaul_ai) · 2026-10-15 13
Open source meets type-safe AI, with TypeLLM.
Chat models give you a reply and decision models give you a choice, but TypeLLM is built to run your whole workflow in one API call.
Most production pipelines need something in between: several typed answers, some depending on others, a few that should exist only under certain conditions.
TypeLLM takes that whole shape as one JSON Schema and executes it as a dependency graph over a single shared context.
Typed LLM outputs, built in the open.
You can get schema-guaranteed outputs from a stock Qwen checkpoint without touching its weights.
The guarantee comes from how the requests are built and decoded.
TypeLLM sits on SGLang and turns a JSON Schema into constrained decoding: one scored token for an enum or boolean, bounded digits for numbers, and a dependency graph that reuses cached prefixes.
So a field can’t return a value outside its enum, because the decoder only considers the allowed candidates.
↳ 引用 @TypeLLM (TypeLLM): Chat models return messages.
Decision models return decisions.
Workflow models execute workflows.
TypeLLM introduces the first workflow model. Run an entire workflow in a single API call.
Simpler, faster, cheaper.
Try it now: https://typellm.ai/examples/ticket-workflow
