Agent technologies enable the automation of business processes by treating AI models as a flexible orchestration layer for building payloads based on user intent. Microsoft provides development tools like the agent framework and Model Context Protocol to help create AI applications compatible with Azure services. When combined, agents facilitate the development of specialized tools using large language models and machine learning techniques. The Agent2Agent Protocol, developed by Google, allows for effective communication among agents to share capabilities and manage long-running tasks.
The agent-to-agent protocol helps build out self-orchestrating workflows, treating AI models as a flexible orchestration layer for dynamically building payloads based on user queries.
Microsoft has been enhancing its development platforms, introducing tools such as the agent development framework and Model Context Protocol features, enabling the creation of AI applications with Azure services.
Agents are powerful tools that become more effective when combined, orchestrating from a catalog of services and facilitating the development of specialized tools with large language models and machine learning.
The Agent2Agent Protocol is essential for establishing communication among cooperating agents, enabling them to share capabilities and handle long-running tasks in a task-focused manner.
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