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Open source tools for developing generative AI applications
We build tools for developing applications with generative AI models. Whether you are using LLMs, vector databases, and text-to-image models like Stable Diffusion, our tools help you find the right model, prompt, configuration and consistently monitor their behaviors in production. --- **PromptTools**: the first open-source, developer-focused SDK for experimenting with and evaluating prompts, models, and vector databases. You can try the repo here: https://github.com/hegelai/prompttools. If you're building with LLMs and struggling with evaluation, reach out and we can help.
Building open-source developer tools for large language models at Hegel AI. Happy to connect and chat about how your company is using AI and LLMs!
Experiment with models, prompts, and vector databases in just a few lines of code
Hegel AI builds an open source platform for evaluating and testing language models, prompts, and vector databases. It targets developers needing continuous LLM regression testing, model safety audits, and apples-to-apples comparisons, offering tooling to run experiments, scale them into reusable test suites, and support multiple evaluation methods.
From the original launch (Jul 2023) — may be outdated.
Formerly “Moxi: Model Exchange Infrastructure” · why startups rename →
Open source tools & services for reliable AI Agents & AI Applications
AI system design tools for dev teams
