Control what you're billed on. Tokens are the currency of AI, and how you design your app determines how many you spend. Compress conversation history instead of resending it raw, cap output tokens with matching prompt instructions, and cache static context so each reuse costs a fraction of the first request. Route each prompt to the right model by complexity, or set Model Router in Microsoft Foundry to handle that automatically — balanced, quality, or cost mode.

Then optimize the whole stack. Run Agent Optimizer to test your prompt, model, and tool configurations together and surface better setups. Use Toolbox to dynamically select only the tools each request needs and cut input token overhead by 90%.

April Gittens, Microsoft Principal Cloud Advocate, joins Jeremy Chapman, Microsoft 365 Director, to share how to seize control of AI token spend through smarter app design.

► QUICK LINKS:

00:00 - Tokenomics foundation

01:06 - Token cost basics

02:11 - Context Window creep

03:46 - Reduce unnecessary tokens

04:29 - Trim context costs

05:21 - Cap output tokens

06:27 - Cache for savings

07:54 - Model cost tradeoffs

09:15 - Model Router

09:42 - Toolbox in Microsoft Foundry Toolbox

11:18 - Agent Optimizer

12:44 - Other cost drivers

13:57 - Wrap up

► Link References

Check out the tools in Microsoft Foundry at https://ai.azure.com

For more about managing AI costs go to https://aka.ms/FoundryTokenomics

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