Orla: A Library for Serving LLM-Based Multi-Agent Systems
#Orla #library #LLM #multi-agent #serving #AI agents #deployment
📌 Key Takeaways
- Orla is a new library designed for serving LLM-based multi-agent systems.
- It facilitates the deployment and management of multiple AI agents working together.
- The library aims to streamline the development of complex multi-agent applications.
- Orla provides tools for efficient communication and coordination between agents.
📖 Full Retelling
arXiv:2603.13605v1 Announce Type: new
Abstract: We introduce Orla, a library for constructing and running LLM-based agentic systems. Modern agentic applications consist of workflows that combine multiple LLM inference steps, tool calls, and heterogeneous infrastructure. Today, developers typically build these systems by manually composing orchestration code with LLM serving engines and tool execution logic. Orla provides a general abstraction that separates request execution from workflow-level
🏷️ Themes
AI Development, Multi-Agent Systems
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Original Source
arXiv:2603.13605v1 Announce Type: new
Abstract: We introduce Orla, a library for constructing and running LLM-based agentic systems. Modern agentic applications consist of workflows that combine multiple LLM inference steps, tool calls, and heterogeneous infrastructure. Today, developers typically build these systems by manually composing orchestration code with LLM serving engines and tool execution logic. Orla provides a general abstraction that separates request execution from workflow-level
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