Loop gives developers and teams full visibility into every LLM call — from prompts and responses to tool invocations, latency, and cost. Built on OpenTelemetry for effortless observability at scale.
Loop is built for developers, data scientists, ML engineers, and AI product teams who want to go beyond logs and guesswork. It provides complete visibility into everything your AI does — before, during, and after every LLM call.
Gain full visibility into every step of your AI workflow — from prompts and RAG retrievals to tool calls, MCP executions, and model responses. With powerful filters and instant search, it's easy to trace behavior, identify anomalies, and stay in control of your LLM-powered application.
Quickly identify where latency, cost, or quality issues occur. Explore full waterfall timelines, dependencies, and cause‑and‑effect relationships — enhanced by AI‑driven insights that highlight what truly matters.
Compare prompt versions, evaluate outcomes, and optimize using real data — not guesswork. Understand how each change affects performance, cost, and quality to drive continuous improvement with confidence.
From first-time users to global platform teams, Loop delivers instant visibility and scales effortlessly with the growing complexity of your LLM workflows — whether you’re working locally, testing, or running in production.
Go from zero to a fully observable LLM application in just minutes. Instantly capture and inspect every prompt, response, and API interaction — no complex setup required.
See how Loop helps you understand the full lifecycle of your LLM workflows — from prompt to tool calls, retries, and responses.
Live stream of all LLM interactions, structured into traces and spans. Filter, search, and inspect what’s happening in real time.
Quickly see inputs, outputs, duration, and metadata of a span without leaving the trace list.
Automatic labeling for key span types like llm, tool-call, http, and mcp for easier classification and filtering.
Capture traffic from local development or deployed environments using Loop Gateway with full OpenTelemetry support.
Use OTEL SDKs (NodeJS, .NET, Python, etc.) to capture structured spans from your backend, tools, or custom logic.
Pass X-Loop-Project, X-Loop-Session, X-Loop-Custom-Label and custom labels to enrich trace data without extra configuration.
Deep dive into each trace: view tokens, cost, duration, model parameters, tool responses, and user-visible outputs.
Visual timeline of span execution showing parallelism, dependencies, and latency bottlenecks.
Aggregated metrics across traces: averages, histograms, outliers, percentiles — instantly visible in the context of filters.
Identify and group trace traffic based on span type (llm, mcp, tool-call, etc.) and custom labels.
Always-visible summary bar showing metrics like avg duration, p95 latency, row count, and active filters.
Understand where costs, retries, or delays come from — token-level and step-by-step.
Re-run past traces with new prompts, parameters, or models to test improvements safely and compare outputs.
Save, manage, and reuse effective prompts. Browse built-in templates or create your own for evaluation and scoring.
Your built-in AI copilot that understands your data. Ask questions about traces, anomalies, or metrics — and get instant answers in context.
Compare prompt versions or model settings over time — see which changes improved quality or reduced cost.
Works seamlessly across macOS, Windows, and Linux — so every developer, data scientist, or ML engineer can use Loop effortlessly.
All data stays in your environment. Loop respects credentials, access controls, and enterprise security policies — no shadow access.
Built with the same design philosophy as Lens K8S IDE: powerful, fast, and intuitive. Every action feels natural in your daily workflow.
Full OTEL compatibility across products — giving your Kubernetes, backend, and AI pipelines a single, standards-based source of truth.
From fast-growing startups to global enterprises, more than 1 million developers from the world’s top teams rely on Lens every day.
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