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Structured generation libraries for developers and AI teams. Build reliable LLM-driven applications with schema-compliant, predictable outputs.
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.txt develops structured-generation technology and libraries that help developers and AI teams build reliable applications powered by large language models. Its central offering is predictable output that conforms to specified contracts, including JSON Schema, regular expressions, context-free grammars, and function-calling formats. The company’s approach is designed to make AI systems more dependable and composable, from the tokens models generate to the agents built around them.
The api.dottxt.ai platform provides access to constrained-decoding technology through a pay-per-token API, using open-source models to deliver outputs that satisfy defined schemas. For organizations that self-host, .txt offers drop-in replacements for inference servers including vLLM, SGLang, and TensorRT-LLM, enabling structured outputs without relying on post-generation validation. Its composable libraries also support inference providers: dotjson enforces JSON Schema, dotgrammar supports context-free grammars, and dotlambda enables reliable function calling across inference stacks.
Created by the team behind Outlines, .txt serves developers and businesses seeking to deploy AI with greater reliability. The company also offers documentation, a quick start, demonstrations, and support for teams improving their schemas.
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Computers Electronics and Technology
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