ADL: A Declarative Language for Agent-Based Chatbots
Fuente:
arXiv
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866912503586357248 |
|---|---|
| author | Zeng, Sirui Yan, Xifeng |
| author_facet | Zeng, Sirui Yan, Xifeng |
| contents | 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/. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_14787 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | ADL: A Declarative Language for Agent-Based Chatbots Zeng, Sirui Yan, Xifeng Multiagent Systems 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/. |
| title | ADL: A Declarative Language for Agent-Based Chatbots |
| topic | Multiagent Systems |
| url | https://arxiv.org/abs/2504.14787 |