Caveman - Product screenshot

Overview

Caveman is designed to help AI agents perform tasks with fewer tokens, thereby reducing operational costs. It achieves this through several core mechanisms that can be applied to both pre-existing agents and custom-built applications.

How Caveman Works

  • Reads Less: The tool compresses logs, test output, JSON, and diffs before they are processed by the AI model. The original, uncompressed data remains available for recovery if the model requires it. This significantly reduces input token usage.
  • Says Less: Caveman trims unnecessary filler from agent responses, ensuring that only essential information, such as code, commands, and error messages, is returned. This leads to a reduction in output tokens.
  • Picks the Model: Through adaptive model selection, Caveman routes each task to the most cost-effective model that can successfully complete it. This ensures that more complex, expensive models are only used when truly necessary.

The platform also offers Caveman Cloud, which provides comprehensive analytics to track agent costs, identify waste, and implement improvements automatically. It includes features for monitoring every request, seeing who uses what, setting budgets, and maintaining an audit log for all changes.

Key features

  • Adaptive model selection for cost efficiency
  • Context compression for input tokens
  • Output token reduction for concise responses
  • Detailed agent cost analytics and tracing
  • Waste identification and autopilot improvements
  • Budgeting and audit logs for governance
  • Open-source local tools for flexible integration

Who uses it

Developers building and running AI agents, as well as companies seeking to manage and reduce the operational costs associated with their AI agent deployments.

Pros

  • Significantly reduces AI agent token costs
  • Offers adaptive model selection for efficiency
  • Provides detailed analytics and cost tracing for agent runs
  • Includes open-source local tools for flexible integration
  • Supports various coding agents and frameworks

Cons

  • Team features and advanced analytics require a paid subscription
  • Compatibility and full feature support vary by specific agent and API path
  • Some optimization features like "Keeps the script" are noted as pre-release
  • Measuring actual cost savings requires careful comparison with provider billing

Summary

Caveman offers practical solutions for optimizing AI agent efficiency and managing operational expenses. Its combination of local tools and cloud analytics provides granular control over token usage and model selection.

Pricing plans

Free

$0

  • Every feature for one person.
  • For one developer trying everything Caveman does
  • Hosted at app.caveman.so
  • Every Cloud feature
  • 100,000 events a month
  • 1 event per started 64 KB sent
  • 600 agent minutes a month
  • 25,000 routing decisions a month
  • Caveman AI a month
  • Standard rates past the allowances
  • One person
  • Usage included

Team

$300 / month

  • Includes $300 of usage every month.
  • For teams that want agent costs cut, with proof
  • Everything in Free, plus:
  • Hosted at app.caveman.so
  • Usage every month
  • Then standard rates
  • Your whole team
  • Caveman AI a month
  • Semantic cache
  • Project access control and audit log export
  • Content sharing off
  • SSO with the Scale package

Enterprise

Custom / year

  • Annual contract.
  • For orgs that keep data in their own cloud
  • AWS or GCP, your Kubernetes
  • Everything in Team, plus:
  • In your VPC, one Helm chart on AWS or GCP
  • Runs in your VPC
  • Your KMS and storage
  • Signed releases
  • Annual contract

Pricing details are provided for reference and may differ from the vendor's current plans.

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