Foundry Tools Cheat Sheet

This content was generated with the assistance of AI and should be verified against the official documentation before being relied on in production.

See the section bibliography for the reference material consulted while preparing these pages.

A single-page index of quick back-links to every page in the Foundry Tools sub-section, grouped the same way as the sub-section index — handy for jumping straight to the tool you need.

The downloadable PDF is a separate, single A4 page meant for printing. It states the version baseline date (2026-10-06, Azure CLI 2.90.0) and covers:

  • the catalog of tools with their status and a use-case finder ("use it to…​");

  • resource kinds (AIServices, legacy CognitiveServices, single-service kinds), the tool, project, model, Speech and Translator endpoints, and the authentication headers and roles;

  • the key CLI commands (account create --kind AIServices, project create, keys list, list-usage, list-kinds, role assignment and model deployment);

  • per tool, the REST path with its api-version and the Python and .NET packages;

  • limits highlights (rate limits, file sizes, characters per request) and network, container and monitoring essentials; and

  • a retirements timeline strip from 2025 to 2029.

Overview — Foundry Tools and Choosing a Foundry Tool (or a Foundry Model).

Cross-cutting — Resources, Endpoints and Authentication, Networking, Security and Responsible AI, and Pricing, Quotas, Containers and Monitoring.

Speech — Speech to Text, Text to Speech and Avatars, Speech Translation, Pronunciation Assessment and Other Speech Features, and Voice Live API for Voice Agents.

Translator — Text Translation with Translator and Document Translation, Custom Translator and Adaptive Translation.

Language — Language: PII, Entities, Language Detection and Health and Language: Sentiment, Summarization, CLU and Question Answering.

Vision and documents — Vision: Image Analysis and OCR, Face Detection, Verification and Liveness, Document Intelligence: Read, Layout and Prebuilt Models, Document Intelligence: Custom Models, Classification and RAG Ingestion, and Content Understanding: Multimodal Analyzers.

Safety, search and agents — Content Safety, Prompt Shields and Groundedness, Azure AI Search with Foundry Tools, Using Foundry Tools from Agents (MCP and Toolbox), and Immersive Reader, Video Indexer and Retired Services.

Putting it together — End-to-End Scenarios: Combining Foundry Tools.

Download the Foundry Tools Cheat Sheet (PDF)