Caveman Cloud
See what your agents cost.Cut it, with proof.
Every coding agent your team runs and every agent you ship, traced to the work and what it cost. Caveman finds the waste and prices it. A saving counts once real traffic proves it.
Works with
Coding agents your team runs
Every session, with spend per person, per agent and per merged change.
Claude CodeCodexGemini CLIOpenCodeAgents you ship
Point your SDK at Caveman and keep your provider keys. Every call becomes a trace.
OpenAI SDKAnthropic SDKVercel AI SDKLangChainThe gateway you already run
Keep LiteLLM. Its OpenTelemetry exporter sends the traces, and provider keys stay where they are.
LiteLLMOpenTelemetryConnect LiteLLM
01 Observe
Every agent dollar,traced to the work.
Spend per developer, team, agent and workflow, whether it came from a coding agent, your own SDK or a LiteLLM gateway. Coding sessions link to the change that merged.
Open agent usage in the demo
Every coding agent your team runs.
Requests, tokens, spend and cost per request for each agent, across everyone who uses it.
Spend by workflow
Daily spend by workflow, provider and model, with each one’s share of the bill.
Every request on the record
Status, cost, latency and tokens for each call, from a coding agent, your SDK or your gateway.
Where the spend went
Follow session spend to its branch, then to what merged and what never did.
Cost per merged change
Each pull request, with the sessions behind it and what they spent.
02 Prove
Every number sayshow it was earned.
A figure in Caveman is measured, inferred or verified, and it tells you which. An estimate stays an estimate until real traffic proves it.
See the ledger in the demo
03 Optimize
We found the waste.Here’s what it costs.
Here’s the fix.
Caveman reads your traffic for repeated work, bloated context and the wrong model for the job. Every finding arrives priced, with a proposed change and a way to test it. Your team decides what ships.
Open a brief in the demo
04 Govern
Set the limits.Keep the record.
Soft and hard caps per project, rate limits per key and workflow, and rules that mask or block what should never reach a model. Changes land in the audit log.
Open governance in the demo
One place for the controls.
Keys, model access, guardrails and data retention, with the month’s budget beside them.
Budgets that warn the owner
Cross a soft cap or reach a hard cap, and owners and admins get an Inbox item and an email.
An audit log for every change
Budgets, guardrails, keys and roles: who changed what, and when.
Your coding agents talk straight to your provider, with your key. Caveman gets a routing ask, never the request.
On Enterprise it runs in your VPC, on your KMS and storage, with content sharing locked off.