AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents

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  • License: Apache Software License (Apache-2.0)
  • Author: Harsh Trivedi
  • Maintainer: Harsh Trivedi
  • Tags ai-agents , ai-assistants , ai-planning , autonomous-agents , ai-environment , tool-usage , coding-agents , interactive-coding , nlp-machine-learning , nlp-datasets , llm , function-calling , llm-agents , ai-apis , acl-2024
  • Requires: Python <4.0, >=3.11
  • Provides-Extra: all , experiments
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Python package for the ACL 2024 paper, "AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents".

This work introduces AppWorld Engine, a high-fidelity execution environment of 9 day-to-day apps, operable via 457 APIs, populated with digital activities of ~100 people living in a simulated world, and an associated benchmark of natural, diverse, and challenging autonomous agent tasks requiring rich and interactive coding.

Checkout its GitHub repository for readme.

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  • License: Apache Software License (Apache-2.0)
  • Author: Harsh Trivedi
  • Maintainer: Harsh Trivedi
  • Tags ai-agents , ai-assistants , ai-planning , autonomous-agents , ai-environment , tool-usage , coding-agents , interactive-coding , nlp-machine-learning , nlp-datasets , llm , function-calling , llm-agents , ai-apis , acl-2024
  • Requires: Python <4.0, >=3.11
  • Provides-Extra: all , experiments
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