Vim Python IDE
withOrbit.io
Helicone AI
Langfuse
Intellize.ai
Overseer AI
Orbit is an observability platform for AI-powered applications. It helps developers and teams track LLM costs, latency, and errors - broken down by feature, task, and customer.
Key Features:
Cost tracking by feature, not just monthly totals Latency and error monitoring per API call Task and customer attribution for agentic workflows One-line SDK integration (Node.js & Python) Works with OpenAI, Anthropic, and Gemini Real-time dashboard with usage analytics Use Cases:
Understand which AI features are most expensive Debug slow or failing LLM calls Attribute AI costs to specific customers or workflows Optimize prompts and reduce spend Pricing: Free tier available. No credit card required.
Vim Python IDE withOrbit.iowithOrbit.io's answer:
Built by a Senior PM who kept seeing the same problem: AI features that looked fine but quietly burned margin. No tool answered "what part of my product is expensive?" So I built one.
withOrbit.io's answer:
Next.js, TypeScript, Supabase, and Node.js/Python SDKs for client instrumentation.
withOrbit.io's answer:
Currently in public beta with early adopters. Free tier available.
withOrbit.io's answer:
Orbit focuses on feature-level cost attribution, not just API logs. While other tools show you traces and totals, Orbit answers "which feature is burning my budget?" with a one-line SDK integration.
withOrbit.io's answer:
Simpler setup (one line of code), built-in cost tracking by feature/task/customer out of the box, and native support for agentic workflows where a single user action triggers multiple LLM calls.
withOrbit.io's answer:
Developers, FinOps, Product managers, and engineering teams shipping AI-powered features in production. Especially those using OpenAI, Anthropic, or Gemini who need visibility into what's driving their LLM costs.
