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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.
Use the AI Agents client library to: * Develop Agents using the Azure AI Agents Service, leveraging an extensive ecosystem of models, tools, and capabilities from OpenAI, Microsoft, and other LLM providers. The Azure AI Agents Service enables the building of Agents for a wide range of generative AI use cases. * Note: While this package can be used independently, we recommend using the Azure AI Projects client library (azure-ai-projects) for an enhanced experience. The Projects library provides simplified access to advanced functionality, such as creating and managing agents, enumerating AI models, working with datasets and managing search indexes, evaluating generative AI performance, and enabling OpenTelemetry tracing.
| Package | Summary | Distribution | Download |
| Microsoft Corporation Azure AI Agents Client Library for Python | python313-azure-ai-agents-1.1.0-1.1.noarch.rpm | ||
| python313-azure-ai-agents-1.1.0-1.1.noarch.html | Microsoft Corporation Azure AI Agents Client Library for Python | OpenSuSE Tumbleweed for noarch | python313-azure-ai-agents-1.1.0-1.1.noarch.rpm |
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