Building with TypeSafe AI's Jev in Logic Apps: from triage to a router agent

说明与用途

TypeSafe AI 的 Jev 提供的类型化答案，使 Logic Apps 能够在不解析自由文本的情况下执行确定性分支，实现实时的分诊和任务路由。

问题

Integrating a typed AI model into Logic Apps workflows to replace free‑text parsing with deterministic, schema‑based decisions for triage and routing.

结果

The typed responses from Jev enabled deterministic branching in Logic Apps, eliminating free‑text parsing. The triage workflow ran in 2.4s, and the router agent correctly dispatched math and general tasks, demonstrating practical, end‑to‑end integration.

工作流

• 1. Add three Jev questions (urgent, category, sentiment) to a single API call.
• 2. Use Compose_Triage to evaluate urgent.noul, category.choice, and sentiment.score with @if expressions.
• 3. Deploy triage workflow in Logic Apps Automation and observe 2.4s total run time.
• 4. Create RouterAgent that sends a single choice question (math vs general).
• 5. Switch on the answer and dispatch to BodmasAgent or GeneralAgent.
• 6. Resolve call‑workflow limitation in Automation by using Http POST to the target workflow’s trigger URL.
• 7. Test both branches: math expression and general question, confirming correct dispatch and responses.

证据

TypeSafe AI's Jev model answers only in a shape you define. You send it state (your text) and a set of typed questions, and it returns typed values with calibrated probabilities instead of free text to parse.

来源

This run took the default (general) branch: ReqTask → Classify_Task (808 ms) → Route_By_Task_Type → Dispatch_To_GeneralAgent (7.9 s) → Response_General (132 ms), succeeded in 10 seconds total.

来源

The math branch works too, tested separately: Math: (12 + 8) * 3 - 5 / 5 → classified math (confidence 1.0) → dispatched to BodmasAgent → "Answer: 59". Correct.

来源