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Environment-free Synthetic Data Generation for API-Calling Agents

14 upvotes · 18 JUL 2026 · Seanie Lee, Sanjoy Chowdhury, Chao Jiang et al.

This paper proposes a method to generate synthetic data for training API-calling agents without the need for an actual environment. This is useful for scalability, as collecting high-quality data at scale can be difficult. Practitioners might care about this approach because it could speed up the development of AI agents that can interact with APIs.

environment-freesynthetic data generationAPI-calling agentslarge language modelsdigital world models