Agent cost optimization CLI

Analyze and reduce AI agent costs via smart routing and caching

Problem

Many teams use multiple LLM agents, but costs are opaque and hard to optimize. Agents may repeatedly call expensive models or use large models for simple tasks, causing costs to skyrocket. Developers need a tool to monitor agent calls and automatically reduce costs.

Solution

Provide a CLI tool that intercepts and logs agent LLM calls, analyzes call patterns and costs, and offers smart routing suggestions (e.g., route simple tasks to smaller models) and caching strategies. Integrate with existing agent frameworks, with real-time cost dashboards and budget alerts.

Users

Developers using LLM agents, AI product teams, cost-sensitive startups

MVP

Intercept and log LLM calls via proxy or SDK; aggregate costs by model and task type; identify optimization opportunities; provide routing suggestions; export cost reports

Revenue

Free basic analytics, premium subscription ($29/month) with auto-optimization and alerts

Why now

LLM costs remain a pain point, agent call volumes surging; indie developers can build quickly leveraging existing LLM observability ecosystem