Hey! 👋 I'm Anand, the creator of Splyntra. As AI agents move from simple prototypes to production environments handling critical tasks, observability and security become major bottlenecks. Traditional APM tools weren't built for non-deterministic LLM workflows, multi-agent loops, or sudden cost spikes. We built [Splyntra](https://www.splyntra.com/) to give developers and teams full visibility and guardrails over their agentic workflows on a single OpenTelemetry-native pipeline. What you can do with Splyntra: 1. Trace Agent Execution: Get complete, distributed traces of multi-step agent actions, tool calls, and LLM decisions. 2. Real-Time Risk Scoring: Automatically evaluate and score risks across prompt injections, tool abuse, and unintended agent behaviors. 3. Cost & Quality Insights: Track token spend, latency, and output quality across every model provider. 4. Agent Governance: Set policy guardrails to control what tools agents can access and enforce execution boundaries. 5. Open & Flexible: Available as a source-available core on [GitHub](https://www.google.com/search?q=... it self-hosted in your own VPC or use our managed cloud. We’d love for you to try it out, explore the repo, and let us know what you think. I’ll be hanging out in the comments all day to answer questions and take feedback! 🚀

Splyntra

Open-source AI agent observability and governance platform

Open-source AI agent observability and governance platform