18 docs tagged with "orchestration"

LLM-backed agents playing chess with each other using nested chats.

Custom Speaker Selection Function

Explore the demonstration of the Finite State Machine implementation, which allows the user to input speaker transition constraints.

Explore the utilization of large language models in automated group chat scenarios, where agents perform tasks collectively, demonstrating how they can be configured, interact with each other, and retrieve specific information from external resources.

Introduce Group Chat with Customized Speaker Selection Method

Implement and manage a multi-agent chat system using AutoGen, where AI assistants retrieve information, generate code, and interact collaboratively to solve complex tasks, especially in areas not covered by their training data.

Use JSON mode and Agent Descriptions to mitigate prompt manipulation and control speaker transition.

LLM-backed agents playing chess with each other using nested chats.

This is a nested chat re-implementation of OptiGuide which is an LLM-based supply chain optimization framework.

Resume Group Chat

Explore the demonstration of the SocietyOfMindAgent in the AutoGen library, which runs a group chat as an internal monologue, but appears to the external world as a single agent, offering a structured way to manage complex interactions among multiple agents and handle issues such as extracting responses from complex dialogues and dealing with context window constraints.

Solve complex tasks with one or more sequence chats nested as inner monologue.

Solve complex tasks with a chat nested as inner monologue.

Use conversational agents to solve a set of tasks with a sequence of async chats.

Use conversational agents to solve a set of tasks with a sequence of chats.

Use AutoGen to solve a set of tasks with a sequence of chats.

StateFlow: Build Workflows through State-Oriented Actions

Custom Speaker Selection Function