--- title: Environment-free Synthetic Data Generation for... description: Apple ML Research proposes an environment-free method for generating synthetic training data for API-calling LLM agents. Instead of requiring fully implemented... canonical: https://daily.dev/posts/environment-free-synthetic-data-generation-for-api-calling-agents-c022omndf twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Environment-free Synthetic Data Generation for API-Calling Agents | daily.dev og:description: Apple ML Research proposes an environment-free method for generating synthetic training data for API-calling LLM agents. Instead of requiring fully implemented... og:url: https://daily.dev/posts/environment-free-synthetic-data-generation-for-api-calling-agents-c022omndf og:image: https://api.daily.dev/og/posts/c022OMnDf.png og:image:alt: Environment-free Synthetic Data Generation for API-Calling Agents og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Environment-free Synthetic Data Generation for API-Calling Agents **[Apple Machine Learning Research](https://daily.dev/sources/mlapple)** · 1 min read · 0 upvotes · 0 comments ## Summary Apple ML Research proposes an environment-free method for generating synthetic training data for API-calling LLM agents. Instead of requiring fully implemented environments with executable APIs and populated databases, the approach uses LLMs as digital world simulators. Given only API specifications, an LLM generates diverse tasks, a teacher agent solves them, an LLM simulator produces coherent synthetic API responses, and an LLM judge filters for quality. Evaluated on AppWorld and OfficeBench benchmarks, fine-tuning on this synthetic data yields significant performance gains, establishing LLM-based API simulation as a scalable training solution. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#deep-learning](https://daily.dev/tags/deep-learning) [View this post on daily.dev](https://daily.dev/posts/environment-free-synthetic-data-generation-for-api-calling-agents-c022omndf) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Environment-free Synthetic Data Generation for API-Calling Agents","url":"https://daily.dev/posts/environment-free-synthetic-data-generation-for-api-calling-agents-c022omndf","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/environment-free-synthetic-data-generation-for-api-calling-agents-c022omndf"},"datePublished":"2026-08-02T07:03:17.236Z","dateModified":"2026-08-02T07:16:33.569Z","description":"Apple ML Research proposes an environment-free method for generating synthetic training data for API-calling LLM agents. 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