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ADL: A Declarative Language for Agent-Based Chatbots

arXiv 2504.14787 ↗First posted 21 Apr 2025cs.MAcited by 3

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Abstract (arXiv)

There are numerous frameworks capable of creating and orchestrating agents to address complex tasks. However, most of them highly coupled Python programming with agent declaration, making it hard for maintenance and runtime optimization. In this work, we introduce ADL, an agent declarative language for customer service chatbots. ADL abstracts away implementation details, offering a declarative way to define agents and their interactions, which could ease maintenance and debugging. It also incorporates natural language programming at its core to simplify the specification and communication of chatbot designs. ADL includes four basic types of agents and supports integration with custom functions, tool use, and third-party agents. MICA, a multi-agent system designed to interpret and execute ADL programs, has been developed and is now available as an open-source project at https://github.com/Mica-labs/MICA. Its documentation can be found at https://mica-labs.github.io/.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 Apr 2025.

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Citing papers per year: 2025: 1; 2026: 2.

3 papers.