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Caveman

An efficient gateway and cost optimization platform for AI-native development

Last Updated 9/7/2026

About Caveman

Caveman is an efficiency platform for AI-native development. Through its gateway, it provides model routing, automatic caching, prompt compression, and waste detection for model requests, choosing a more cost-efficient path for each request while meeting the task requirements. It connects to LiteLLM, Vercel AI SDK, LangChain, and tools compatible with the OpenAI protocol, and also supports coding agents, application SDKs, and complete AI pipelines.

Best for

AI application teams
Coding agent developers
Platform engineering teams

Best use cases

Optimize model call costs

Integrate an AI gateway

Manage coding agent traffic

Optimize complete AI pipelines

Features

Intelligent model routing

Selects a more cost-efficient option among different model paths based on the request.

Request optimization

Provides automatic caching, prompt compression, and waste detection.

Compatibility with leading AI stacks

Connects to LiteLLM, Vercel AI SDK, LangChain, and tools compatible with the OpenAI protocol.

Gateway integration

Provides a gateway entry point for coding agents, application SDKs, and complete AI pipelines.

Pros

  • Supports integration with multiple common AI development stacks
  • Enables optimization through a gateway without rewriting code

Tool Information

DeveloperCaveman
Release Date9/7/2026
PricingFree