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TokenwiseStop overpaying for AI—see exactly where your money goes

Tokenwise is a one-line LLM proxy that learns from your traffic, reveals overpayment hotspots, and lets you fix them in one click—verified with real savings.

LLM Cost Optimization
AI Proxy
API Cost Management
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More About Tokenwise

Tokenwise: LLM Observability & Cost Optimization

Tokenwise transforms your LLM spending from a black box into actionable savings. With a single line of code, you gain complete visibility into where your AI budget leaks—across your production app and coding agents like Claude Code, Cursor, and Codex—while cutting costs by 20-30% without sacrificing quality.

Product Highlights

  • Drop-in Proxy Setup: Connect in one line with <50ms overhead; no SDK rewrites or production changes required
  • Intelligent Cost Detection: Automatically flags oversized prompts, cache misses, and expensive model overuse with dollar amounts attached
  • One-Click Optimization: Apply model swaps, semantic caching, and prompt trims with quality-verified recommendations
  • Security-First Architecture: Provider keys never stored; prompts encrypted at rest; BYOK (Bring Your Own Keys) with zero lock-in
  • Coding Agent Observability: First-class support for Claude Code, Cursor, and Codex with observe-only onboarding

Use Cases

  • Production LLM Cost Control: Monitor real-time spend across OpenAI, Anthropic, Groq, and 200+ providers with 14-day forecasting
  • Development Workflow Optimization: Track and reduce costs from AI coding assistants before they surprise your budget
  • Quality-Preserving Downsizing: Switch from Claude Opus to Haiku or GPT-4 to GPT-3.5 with automated quality matching
  • Team Cost Accountability: Slice spending by model, application, and team member with multi-workspace support

Target Audience

Tokenwise serves solo developers and small teams shipping LLM-powered applications with monthly AI bills between $50 and $2,000—particularly those using Vercel AI SDK, Cursor, Claude Code, Lovable, Bolt, or direct OpenAI/Anthropic integrations who need observability without engineering overhead.

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