Inductor

We’re thrilled to introduce Custom Playgrounds here on Product Hunt! 🎉 Inductor Custom Playgrounds enable you to auto-generate a powerful, instantly shareable playground for your LLM app with a single CLI command - and run it within your environment. Custom Playgrounds provide a developer-first way to loop other team members into your development process, accelerate your own iteration speed, and build high-quality LLM apps fast. Some highlights: 🛝 Auto-generate a custom playground UI that is customized to your LLM app or feature. 💻 Run your playground in your environment with your code and data. 👥 Collaborate instantly with colleagues by securely sharing your work, collecting feedback, and leveraging their expertise (for prompt engineering and more). 🚀 Accelerate your iteration speed with an easy, powerful way to interact with your LLM app and systematically evaluate it (with auto-generated UI, hot-reloading, auto-logging, test suites, and more). You can learn more in our blog post here (https://inductor.ai/blog/custom-...) – and you can now start using Custom Playgrounds for free to turbocharge your LLM app development! We’d love to get any feedback that you have and are very happy to answer any questions, via comment or message.

Hi everyone - excited to be sharing Custom Playgrounds here! At Inductor, we’re building the tools that developers need to build production-ready LLM apps and product features – far more quickly, easily, and systematically. We built Custom Playgrounds because it’s important to be able to interactively experiment with an LLM app or product feature as you’re building it, and share your work in order to collaborate – but, today, this is too often cumbersome to do. Custom Playgrounds solve this problem by enabling you to auto-generate and instantly share a playground running directly against your code and environment, with a single Inductor CLI command: $ pip install inductor $ inductor playground my.module:my_function where “my.module:my_function” is the fully qualified name of a Python function that is the entrypoint to your LLM app. (No modifications to your code required!) See our docs (https://app.inductor.ai/docs/qui...) for more information about how to start using Custom Playgrounds. You can get started for free by simply running the CLI command above. We’re excited to get Custom Playgrounds into your hands, and we very much welcome any feedback or questions, either via comments or direct messages!