World Congress 2026 Europe - Virtual Stage • Jul 2, 2026 • Session details

From minutes to seconds: Lessons learned optimizing multi-turn agentic workflows

AI workflow latency doesn't have to bottleneck your scaling. Discover architectural tweaks, from token masking to deterministic fallbacks, that slash processing time from minutes to seconds.

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Matching moments

5:58 min

Architecting inference layers and meta harnesses to manage token costs

Hari Lingamagunta

Hari Lingamagunta +3 · World Congress 2026 North America

4:26 min

Optimizing AI infrastructure costs by maximizing token caching

Liran Hason

Liran Hason · World Congress 2026 Europe

1:08 min

Rebuilding complex agent architectures to optimize token utilization

April Yoho

April Yoho · World Congress 2026 Europe

3:46 min

Advantages of multi-agent architectures over single models

Mitesh Patel

Mitesh Patel +3 · World Congress 2026 North America

2:01 min

Transitioning toward AI-first coding and managing token costs

Clemens Wasner

Clemens Wasner +4 · World Congress 2026 Europe

3:21 min

Optimizing AI token consumption and running local language models

Chris Heilmann

Chris Heilmann +2 · LIVE

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Upcoming sessions on this topic

Your AI Agents Are Bleeding Tokens: Building a Runtime Cost Control Plane for LLMs

Aakriti Aggarwal

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Research Engineer
Bhavishya Pandit

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Vicky Israni

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Senior Solutions Engineer

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Walmart

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Anurag Bhandari

antelligent

CTO

Bypassing the GPU Tax: Smart Layer-7 Routing with Small Language Models (SLMs)

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Bharath MC

Oracle

Principal Platform Software Engineer
Pruthvithej R

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