Obsivara Reviews & Product Details

Obsivara is an AI observability and operations platform for teams running large language models (LLMs), AI agents, and automated workflows in production. As organizations ship more AI, they lose visibility into what their models and agents are actually doing — how much they cost, whether they're reliable, and why they fail. Traditional monitoring and APM tools weren't built for this: AI systems fail quietly, with outputs drifting, tools timing out, and token costs creeping upward without a single error in the logs. Obsivara gives engineering and platform teams one place to see, debug, and control production AI. Obsivara ingests telemetry from your entire AI stack through a Python or JavaScript SDK, OpenTelemetry (OTLP), generic webhooks, or a native n8n integration — with no proxy in your request path. From that data it delivers: • Execution tracing — full run, span, and LLM/tool-call traces with latency, tokens, and errors, so you can debug any agent or workflow. • Cost intelligence — token and dollar spend attributed by provider, model, agent, and workflow, with waste detection, model comparison, and spend forecasting to cut LLM costs. • Health scoring & predictive failure alerts — continuous health scores per asset and early warnings that flag a degrading agent or workflow before it fails in front of customers. • Knowledge map & discovery — an auto-generated dependency graph of every model, agent, tool, and workflow in your estate. • Governance — incident tracking, root-cause analysis, benchmarking, compliance checks, and a weekly prioritized AI audit. Obsivara integrates with OpenAI, Anthropic (Claude), Google Gemini, LangChain, n8n, and OpenTelemetry. It's built for AI/ML engineers, platform and DevOps teams, and engineering leaders responsible for the reliability, cost, and governance of production AI. Whether you run a handful of LLM features or hundreds of agents and workflows, Obsivara helps you catch silent failures, reduce token spend, and prove your AI's reliability — starting with a free tier and scaling to enterprise, with on-prem deployment available.