Tech Talk: AI & Security

Concurrent Orchestration
The concurrent pattern enables multiple agents to work on the same task in parallel. Each agent processes the input independently, and their results are collected and aggregated. This approach is well-suited for scenarios where diverse perspectives or solutions are valuable, such as brainstorming, ensemble reasoning, or voting systems.

Why Multi-agent Orchestration?
Traditional single-agent systems are limited in their ability to handle complex, multi-faceted tasks. By orchestrating multiple agents, each with specialized skills or roles, we can create systems that are more robust, adaptive, and capable of solving real-world problems collaboratively. Multi-agent orchestration in Semantic Kernel provides a flexible foundation for building such systems, supporting a variety of coordination patterns.

Orchestration Patterns
Semantic Kernel supports several orchestration patterns, each designed for different collaboration scenarios. These patterns are available as part of the framework and can be easily extended or customized.

Sequential Orchestration
In the sequential pattern, agents are organized in a pipeline. Each agent processes the task in turn, passing its output to the next agent in the sequence. This is ideal for workflows where each step builds upon the previous one, such as document review, data processing pipelines, or multi-stage reasoning.

Why Multi-agent Orchestration?
Traditional single-agent systems are limited in their ability to handle complex, multi-faceted tasks. By orchestrating multiple agents, each with specialized skills or roles, we can create systems that are more robust, adaptive, and capable of solving real-world problems collaboratively. Multi-agent orchestration in Semantic Kernel provides a flexible foundation for building such systems, supporting a variety of coordination patterns.

Orchestration Patterns
Semantic Kernel supports several orchestration patterns, each designed for different collaboration scenarios. These patterns are available as part of the framework and can be easily extended or customized.

Handoof Orchestration
Handoff orchestration allows agents to transfer control to one another based on the context or user request. Each agent can “handoff” the conversation to another agent with the appropriate expertise, ensuring that the right agent handles each part of the task. This is particularly useful in customer support, expert systems, or any scenario requiring dynamic delegation.

Why Multi-agent Orchestration?
Traditional single-agent systems are limited in their ability to handle complex, multi-faceted tasks. By orchestrating multiple agents, each with specialized skills or roles, we can create systems that are more robust, adaptive, and capable of solving real-world problems collaboratively. Multi-agent orchestration in Semantic Kernel provides a flexible foundation for building such systems, supporting a variety of coordination patterns.

Orchestration Patterns
Semantic Kernel supports several orchestration patterns, each designed for different collaboration scenarios. These patterns are available as part of the framework and can be easily extended or customized.

Group Chat Orchestration
Group chat orchestration models a collaborative conversation among agents, optionally including a human participant. A group chat manager coordinates the flow, determining which agent should respond next and when to request human input. This pattern is powerful for simulating meetings, debates, or collaborative problem-solving sessions.

Why Multi-agent Orchestration?
Traditional single-agent systems are limited in their ability to handle complex, multi-faceted tasks. By orchestrating multiple agents, each with specialized skills or roles, we can create systems that are more robust, adaptive, and capable of solving real-world problems collaboratively. Multi-agent orchestration in Semantic Kernel provides a flexible foundation for building such systems, supporting a variety of coordination patterns.

Orchestration Patterns
Semantic Kernel supports several orchestration patterns, each designed for different collaboration scenarios. These patterns are available as part of the framework and can be easily extended or customized.