SteadyText: Deterministic LLMs: Same input → same output, every time

What it does

Deterministic text generation and embeddings with zero configuration

Deterministic AI for app developers and database teams. Same inputs, same outputs—across Python and Postgres. Releases follow yyyy.mm.dd . The current docs track the 2025.10.xx train covering both the Python SDK and the pg_steadytext extension. Time-to-first-deterministic-result in minutes. Install the SDK, run your first steadytext.generate , and wire deterministic workflows into apps or CI. Bring deterministic generation, embeddings, and reranking into SQL. Install the extension, connect to the daemon, and build pipelines inside Postgres. Read the Core Platform Hub to learn how the pillars connect and when to choose each surface. See Benchmarks for performance data and FAQ for quick…from steadytext.julep.ai

In the maker’s words, at launch

Hey HN! After spending way too many nights debugging flaky AI tests, I built SteadyText. It's a simple python library for deterministic llm generations and embeddings. We use it in production for: - Testing our AI features (zero flakes in 3 months) - CLI tools that need consistent outputs - Reproducible documentation…

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  LLMs can generate valid JSON 100% of the time2023 · github.com · ▲854

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