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한국어How to Build Low-Cost AI Agents in Microsoft Cloud
2026-06-10 · Video on YouTube
Learn how to build low-cost AI agents in Microsoft Cloud with Azure OpenAI, Copilot Studio, Power Platform, and practical cost controls.
Semantic caching
Concept
Semantic caching returns a stored LLM response for prompts that are similar in meaning to an earlier prompt, avoiding a new model call. Azure API Management offers semantic cache lookup and store policies for Azure OpenAI APIs.
| Type | Concept |
|---|---|
| Documentation | learn.microsoft.com/en-us/azure/api-management/azure-openai-enable-semantic-caching |
Key points about Semantic caching
- Semantic caching reduces API calls, and monitoring, automated shutdowns and pre-purchase plans manage cost. · How to Build Low-Cost AI Agents in Microsoft…
Episodes about Semantic caching
Articles about Semantic caching (2)
- Unlocking Hidden Costs in Azure AI: Context, Reasoning, and Autonomy
· Mirko Peters
Welcome to our deep dive into the financial and structural realities of deploying intelligent workloads in the enterprise cloud. If you have been experimenting with… - Unlocking Hidden Taxes: Context, Reasoning, and Autonomy in Azure AI Agents
· Mirko Peters
Welcome back to the podcast companion blog! Today, we are expanding on a topic that has been keeping cloud architects, FinOps professionals, and IT leaders up at ni…
Frequently asked questions
What is semantic caching?
A strategy that reuses answers to similar requests to reduce API calls, lowering cost and improving response times. · From the episode: How to Build Low-Cost AI Agents in Microsoft…
Community wiki
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Sources
- Documentation: learn.microsoft.com/en-us/azure/api-management/azure-openai-enable-semantic-caching
- Feed for this topic (RSS): entity/semantic-caching/feed.xml
- M365.FM episodes on this topic: 1
- Articles on this topic: 2
Maintained by Mirko Peters (Microsoft MVP) · Last updated: