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Platform credits

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Platform credits are billed by the agent hour and cover Warp's platform layer on cloud agent runs and local runs with customer-supplied inference.

Platform credits cover Warp’s platform layer: run lifecycle, integrations, dashboard, APIs, and observability. They’re billed by the agent hour, the time an agent spends working on a task. Platform credits apply to every cloud agent run, including Warp Factories runs, plus local agent runs on Business and Enterprise plans that use customer-supplied inference.

Customer-supplied inference is any setup where Warp isn’t paying for the model call: Bring Your Own API Key (BYOK), custom inference endpoints, BYOLLM, or Enterprise team-managed API keys and endpoints.

An agent hour is one hour an agent spends working on a task. Warp meters platform usage in agent hours and bills that usage as platform credits. Partial hours are billed proportionally, not rounded up: a 15-minute run is a quarter of an agent hour. See Warp pricing for current rates. Enterprise rates are set by contract.

A run accrues agent hours from the time the agent starts in its environment, including environment setup, until the run finishes, fails, or is cancelled. Time spent queued before the agent starts isn’t billed, and neither is idle time between turns while the run waits for your next message.

Within that period, what’s billable depends on the harness:

  • Warp Agent - Time the agent spends generating a response. Execution time for commands and tools the agent runs in its environment, such as a five-minute test suite, isn’t billable.
  • Claude Code and Codex - The entire run, including command execution and time spent waiting on the model provider.

Warp meters three types of infrastructure, each with its own credit bucket. Credit types and where an agent runs (local or cloud) are independent: each run consumes from whichever buckets apply to it.

  • AI credits - Cover inference, the model call itself. Consumed when Warp pays for the model call through Warp-managed providers. See credits for how AI credits are calculated.
  • Compute credits - Cover the sandbox an agent runs in. Consumed when a run uses Warp-hosted compute, which in practice means cloud agent runs; local agent runs use your own machine. See compute credits.
  • Platform credits - Cover the platform layer that runs around the agent, billed by the agent hour.

A single run can consume from more than one bucket. A Warp-managed cloud agent run consumes AI credits for the model call, compute credits for the hosted sandbox, and platform credits for the platform layer.

Whether a run uses platform credits depends on where it runs and who pays for inference.

  • Cloud agent runs on any plan - Every cloud agent run uses platform credits, whichever harness (Warp Agent, Claude Code, or Codex), inference source (Warp-managed, BYOK, or BYOLLM), or compute source (Warp-hosted or self-hosted workers) it uses. Warp Factories runs are cloud agent runs, so a factory’s agents draw platform credits the same way.
  • Local agent runs on Business or Enterprise with customer-supplied inference - When a local run uses BYOK, a custom inference endpoint, or BYOLLM, Warp isn’t paying for the model call but still runs the platform layer around the agent.
  • Local agent runs on Free, Build, or Max plans - Don’t use platform credits, whether the run uses Warp-managed or customer-supplied inference.
  • Local agent runs on Business or Enterprise with Warp-managed inference - Don’t use platform credits because Warp already charges AI credits for the model call.
  • Regular terminal usage - Shell commands and non-AI Warp features don’t consume credits.
  • Third-party agent CLIs run directly - Running claude, codex, or another agent CLI yourself, whether in a Warp terminal pane or elsewhere, doesn’t consume platform credits.

Platform credits appear in the same billing views as the rest of your credit usage. Usage is shown in credits, not agent hours.

  • Per-user credit totals - In the Warp app, Settings > Billing and usage shows platform credits alongside AI credits and compute credits.
  • Admin usage breakdown - For team admins, the Admin Panel billing view shows a per-bucket breakdown for each member and for the team as a whole. Platform credits appear as their own segment in the stacked usage bar.
  • Add-on credits and limits - Platform credits draw from the same pool as the rest of your usage: monthly Warp credits first, then add-on credits once those run out.