nicolailassen

Facilitates the creation of multi-agent systems using orchestration primitives for efficient workflows and iterative processes.

Facilitates the creation of LLM agents using orxhestra, enabling structured reasoning and tool integration for enhanced AI capabilities.

Enhances orchestration agents with callbacks for logging, monitoring, and error handling, improving model and tool interactions.

Enhances orchestration agents with structured reasoning through custom planners for improved task management and planning.

Streams events from Orxhestra agents, enabling real-time token-by-token output and sub-agent event handling.

Facilitates the creation and management of tools for orchestration agents, enhancing their functionality and interactivity.

Facilitates connection of orchestration agents to MCP tool servers using MCPClient and MCPToolAdapter for seamless integration.

Enables orchestration agents to return structured Pydantic objects for precise data analysis and validation.

Enables the creation of multi-agent systems using YAML files, facilitating orchestration and management of AI agents.

Facilitates A2A protocol integration for orchestrating agents, enabling seamless communication between local and remote agents.

Enables orchestration agents to dynamically load and manage reusable skills for enhanced functionality and adaptability.