Zero-code full-stack observability for AI agents and LLM apps. OpenTelemetry-native monitoring for LLMs, VectorDBs, and GPUs with built-in guardrails, evaluations, prompt hub, and a secure vault. Fully self-hostable anywhere.
It's been amazing to watch Aman and the team grow since we first met - what over a year ago was it? OpenLIT is amazing ❤️ wonderful team so much passion
Quick question: if I already use a logging/observability stack (e.g. Datadog, Prometheus, etc.), how easy is it to integrate OpenLIT without duplicating or conflicting metrics?
Hey Product Hunt! 👋👋👋
I'm Aman Agarwal, founder and maintainer of OpenLIT. After speaking with over 50 engineering teams in the past year, we consistently heard the same frustration: "We want to monitor our LLMs and Agents, but changing code and redeploying would slow down our launch."
Every team told us the same story: even though most LLM monitoring tools only require a few lines of integration code, the deployment overhead kills momentum. They'd spend days testing changes, rebuilding Docker images, updating deployment files, and coordinating deployments just to get basic LLM monitoring.
At scale, it's worse: imagine modifying and redeploying 10+ AI services individually.
That's why we built OpenLIT with true zero-code observability. No code changes, no image rebuilds, no deployment file changes.
Two paths, same result - choose what fits your setup:
💻 Everyone else: openlit-instrument python your_app.py on Linux, Windows, or Mac. That's it.
We also learned teams have strong opinions about their observability stack, so while we use OpenLIT instrumentations by default, you can bring your own (OpenLLMetry, OpenInference, custom setups), and we just handle the zero-code injection part.
The best part? It works with whatever you're already using - OpenAI, Anthropic, LangChain, CrewAI, custom agents. No special SDKs or vendor lock-in.
We're excited to launch OpenLIT's Zero-code LLM Observability capabilities on Product Hunt today. We'll be in the comments all day and can't wait to hear your thoughts & feedback! 👇
About OpenLIT's Zero-code LLM Observability on Product Hunt
“Trace LLM requests + costs with OpenTelemetry monitoring”
OpenLIT's Zero-code LLM Observability launched on Product Hunt on October 10th, 2025 and earned 136 upvotes and 7 comments, placing #7 on the daily leaderboard. Zero-code full-stack observability for AI agents and LLM apps. OpenTelemetry-native monitoring for LLMs, VectorDBs, and GPUs with built-in guardrails, evaluations, prompt hub, and a secure vault. Fully self-hostable anywhere.
OpenLIT's Zero-code LLM Observability was featured in Open Source (68.3k followers), Developer Tools (511k followers), Artificial Intelligence (466.2k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 182.7k products, making this a competitive space to launch in.
Who hunted OpenLIT's Zero-code LLM Observability?
OpenLIT's Zero-code LLM Observability was hunted by Patcher. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Patcher
It's been amazing to watch Aman and the team grow since we first met - what over a year ago was it? OpenLIT is amazing ❤️ wonderful team so much passion