Author: Microsoft Mechanics - Bewertung: 5x - Views:73
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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