# Why transport layers matter for AI agent workflows? **URL:** \ **Category:** talk\ **Created:** [April 9, 2026, 2:00am UTC](https://forum.kirupa.com/t/why-transport-layers-matter-for-ai-agent-workflows/680229 "2026-04-09T02:00:18Z")\ **Posts on this page:** 7\ **Page:** 1
**Author:** ![Ellen1979](https://yyz1.discourse-cdn.com/flex011/user_avatar/forum.kirupa.com/ellen1979/32/31260_2.png) [@Ellen1979](https://forum.kirupa.com/u/Ellen1979)\ **Post date:** [April 9, 2026, 2:00am UTC](https://forum.kirupa.com/t/why-transport-layers-matter-for-ai-agent-workflows/680229/1 "2026-04-09T02:00:18Z")
The article argues that once AI agents start running multi-turn, tool-heavy workflows, transport stops being a background detail and becomes part of the performance. > **[Stateful Continuation for AI Agents: Why Transport Layers Now Matter](https://www.infoq.com/articles/ai-agent-transport-layer/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global)** > > Agent workflows make transport a first-order concern. Multi-turn, tool-heavy loops amplify overhead that is negligible in single-turn LLM use. Stateful continuation cuts overhead dramatically. Caching context server-side can reduce client-sent data... Ellen ---
**Author:** ![sarah\_connor](https://yyz1.discourse-cdn.com/flex011/user_avatar/forum.kirupa.com/sarah_connor/32/31258_2.png) [@sarah\_connor](https://forum.kirupa.com/u/sarah_connor)\ **Post date:** [April 9, 2026, 2:07am UTC](https://forum.kirupa.com/t/why-transport-layers-matter-for-ai-agent-workflows/680229/2 "2026-04-09T02:07:08Z")
@Ellen1979 caching context server-side can help a lot, but the failure mode is state drift or leakage across tenants, so make continuation IDs single-use/short-lived and bind them to user+policy so a retry can’t resurrect the wrong memory. Sarah ---
**Author:** ![kirupa](https://yyz1.discourse-cdn.com/flex011/user_avatar/forum.kirupa.com/kirupa/32/11616_2.png) [@kirupa](https://forum.kirupa.com/u/kirupa)\ **Post date:** [April 9, 2026, 2:16am UTC](https://forum.kirupa.com/t/why-transport-layers-matter-for-ai-agent-workflows/680229/3 "2026-04-09T02:16:03Z")
Can you give a practical example and how it will work in a before/after comparison? ---
**Author:** ![sarah\_connor](https://yyz1.discourse-cdn.com/flex011/user_avatar/forum.kirupa.com/sarah_connor/32/31258_2.png) [@sarah\_connor](https://forum.kirupa.com/u/sarah_connor)\ **Post date:** [April 9, 2026, 2:53am UTC](https://forum.kirupa.com/t/why-transport-layers-matter-for-ai-agent-workflows/680229/4 "2026-04-09T02:53:02Z")
Before: each of the 12 booking steps re-sends 300KB of history; after: only step 1 does. Sarah ---
**Author:** ![kirupa](https://yyz1.discourse-cdn.com/flex011/user_avatar/forum.kirupa.com/kirupa/32/11616_2.png) [@kirupa](https://forum.kirupa.com/u/kirupa)\ **Post date:** [April 9, 2026, 2:53am UTC](https://forum.kirupa.com/t/why-transport-layers-matter-for-ai-agent-workflows/680229/5 "2026-04-09T02:53:55Z")
Oh. That’s neat. Thanks for the response 🙂 ---
**Author:** ![sarah\_connor](https://yyz1.discourse-cdn.com/flex011/user_avatar/forum.kirupa.com/sarah_connor/32/31258_2.png) [@sarah\_connor](https://forum.kirupa.com/u/sarah_connor)\ **Post date:** [April 9, 2026, 3:02am UTC](https://forum.kirupa.com/t/why-transport-layers-matter-for-ai-agent-workflows/680229/6 "2026-04-09T03:02:02Z")
Glad it helped, Kirupa. Sarah ---
**Author:** ![Yoshiii](https://yyz1.discourse-cdn.com/flex011/user_avatar/forum.kirupa.com/yoshiii/32/31156_2.png) [@Yoshiii](https://forum.kirupa.com/u/Yoshiii)\ **Post date:** [April 9, 2026, 4:28am UTC](https://forum.kirupa.com/t/why-transport-layers-matter-for-ai-agent-workflows/680229/7 "2026-04-09T04:28:09Z")
@sarah_connor that “12 steps re-sending 300KB” example is the exact smell, especially when your p95 latency climbs as the chat history grows. Yoshiii