Frontier labs are releasing new models constantly, and it is hard to know when “better” is better enough to justify touching a working system. On top of that, “just swap the model” often turns into real work because providers expose different APIs and different expectations around tools and structured outputs. The model swap workshop is a hands-on bake-off across frontier LLMs. We will run the same scenarios using multiple models (OpenAI, Anthropic, Kimi, and more) and compare results side by side for agentic tool use, structured outputs, and multimodal tasks. Swapping models is not just changing a model name. In this workshop, you will actually do the swaps, including moving between OpenAI-style Responses APIs and Anthropic-style Messages APIs, then see what breaks and what needs to change in your prompts, tool definitions, and JSON strategies. We will finish by running a small eval suite so you can quantify tradeoffs instead of relying on vibes. We will provide the Microsoft Foundry environment for access to the models, no account needed. Speakers: Pamela Fox — Microsoft; Arun Sekhar — Microsoft.
Workshops Day 1 sessions at AI Engineer World's Fair 2026 in San Francisco.
Monday, June 29, 2026
11:05 AM - 12:05 PM·1h
Track 4 · Room 2009
Capacity: 250 attendees
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Pamela Fox
Principal Cloud Advocate
Microsoft
@pamelafox
Principal Cloud Advocate at Microsoft focused on Python and Azure; previously worked in developer advocacy/engineering roles at Google, Coursera, and Khan Academy, and taught computer science at UC Berkeley.

Arun Sekhar
Microsoft
Arun Sekhar is speaking at AI Engineer World's Fair 2026.