---
title: "Caveman vs Portkey for AI cost optimization"
description: "Portkey is built around gateway controls and observability. Caveman gives you a local way to reduce repeated agent context, plus a separate Platform workflow for analyzing and improving agent work. Ch"
canonical: https://caveman.so/compare/portkey
last-updated: 2026-09-07
---

# Caveman vs Portkey for AI cost optimization

Portkey is built around gateway controls and observability. Caveman gives you a local way to reduce repeated agent context, plus a separate Platform workflow for analyzing and improving agent work. Choose Caveman first when the problem you can point to is a large tool result, not an absent gateway policy.

A team already using Portkey should identify which controls must survive before changing its inference route. Budget limits and guardrails are application behavior, not configuration clutter to delete during a migration.

## Compare the operating boundary

[Portkey's gateway documentation](https://portkey.ai/docs/product/ai-gateway) includes caching, fallback strategies, retries, conditional routing, and rate or budget limits. Its [guardrail system](https://portkey.ai/docs/product/guardrails) can influence how requests are handled. Caveman's local proxy has a different first job: reduce eligible context and retain the original.

| Requirement | Portkey | Caveman |
| --- | --- | --- |
| Gateway routing policy | Configured gateway strategies | Keep the current gateway or evaluate a separate supported route |
| Guardrails | Request and response checks with configured actions | Preserve existing controls during a local compression trial |
| Repeated tool context | Check the behavior of the configured gateway path | Local content-specific compression and recovery |
| Cost investigation | Gateway observability and usage | Local reports; broader agent analysis through private-access Platform |
| Initial adoption | Gateway account or deployment | Local CLI and one supported coding agent |

## Where Caveman can help without a rewrite

A coding agent may send the same log, file listing, or JSON response through a perfectly configured gateway many times. Reducing that content is a separate intervention from load balancing or blocking an unsafe request.

Caveman can shrink eligible tool output before the next model request. The full original is stored before the smaller view is used. If parsing or storage fails, the source passes through. This creates a concrete local trial: keep the model and task fixed, change the context path, and check the finished result.

You can also start with `caveman shrink` around one command. That makes the trial useful even before you decide whether provider traffic should traverse another proxy.

## Guardrails must keep their meaning

A compression layer can change what a later check sees. If a guardrail needs the raw tool output, running it after a lossy view may change its verdict. If a check applies to the model's answer, its position may be different again.

Write down the intended order before combining tools. Compare guardrail behavior on the original and candidate paths with a test that should be allowed and a test that should be rejected. Retain the rejected example in the migration evidence.

The same applies to retries. Two retry layers can create more paid attempts than expected. Define one total budget and verify the number of provider calls during a simulated failure.

## Keep pricing grounded in the deployment

Compare actual account terms and your expected workload. Gateway fees, retained telemetry, provider usage, and time spent operating a service belong in the cost model. A public feature matrix cannot tell you your negotiated plan.

Caveman's local token reductions remain `inferred`. They do not establish an invoice saving by themselves. Use [cost per completed task](/guides/measure-agent-cost) and check the provider records after a representative experiment.

## Choose the migration you need

Keep Portkey when it already enforces the controls your application depends on. Add a local Caveman experiment to find out whether repeated context can be reduced. If you want to replace the gateway path, start with an isolated caller and inventory every policy that needs an equivalent.

The [Portkey switching guide](/switch/portkey) covers that inventory and a direct-provider test. Caveman Platform currently requires private access; do not plan an immediate production gateway replacement around an unprovisioned account.

Sources: [Portkey gateway](https://portkey.ai/docs/product/ai-gateway), [Portkey guardrails](https://portkey.ai/docs/product/guardrails), and [Caveman proxy](https://docs.caveman.so/docs/proxy).