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The search service can find package by either name (apache), provides(webserver), absolute file names (/usr/bin/apache), binaries (gprof) or shared libraries (libXm.so.2) in standard path. It does not support multiple arguments yet...
The System and Arch are optional added filters, for example System could be "redhat", "redhat-7.2", "mandrake" or "gnome", Arch could be "i386" or "src", etc. depending on your system.
The AI Projects client library (in preview) is part of the Azure AI Foundry SDK, and provides easy access to resources in your Azure AI Foundry Project. Use it to: * Create and run Agents using methods on the .agents client property. * Get an AzureOpenAI client using the .get_openai_client() client method. * Enumerate AI Models deployed to your Foundry Project using methods on the .deployments client property. * Enumerate connected Azure resources in your Foundry project using methods on the .connections client property. * Upload documents and create Datasets to reference them using methods on the .datasets client property. * Create and enumerate Search Indexes using methods on the .indexes client property. The client library uses version v1 of the AI Foundry data plane REST APIs.
| Package | Summary | Distribution | Download |
| Microsoft Azure AI Projects Client Library for Python | python311-azure-ai-projects-1.0.0-1.1.noarch.rpm | ||
| python311-azure-ai-projects-1.0.0-1.1.noarch.html | Microsoft Azure AI Projects Client Library for Python | OpenSuSE Tumbleweed for noarch | python311-azure-ai-projects-1.0.0-1.1.noarch.rpm |
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