Support > Plans and billing
Platform credits
# Platform credits Platform credits cover Warp's platform layer: run lifecycle, integrations, dashboard, APIs, and observability. They're metered in agent hours, the time an agent spends working on a task. Platform credits apply to every cloud agent run, including [Warp Factories](/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)](/agents/inference/bring-your-own-api-key/), [custom inference endpoints](/agents/inference/custom-inference-endpoint/), [BYOLLM](/enterprise/enterprise-features/bring-your-own-llm/), or Enterprise [team-managed API keys and endpoints](/enterprise/enterprise-features/team-managed-keys-and-endpoints/). :::caution BYOK and custom inference endpoint support are available for individual users and organizations with 10 or fewer employees, subject to Warp's [Terms of Service](https://www.warp.dev/legal/terms-of-service). Companies or organizations with more than 10 employees need a Warp Business or Enterprise plan to use these features. ::: ## How platform credits are measured Platform usage is metered in **agent hours**, the time an agent spends working on a task, and billed as platform credits. Time is counted exactly rather than rounded up to whole hours, so a run that works for 15 minutes bills a quarter of an agent hour. See [Warp pricing](https://www.warp.dev/pricing) for current rates; on Enterprise plans, the rate is set by your contract. The clock starts when the agent starts up in its environment, including any environment setup the run performs, and stops when the run finishes, fails, or is cancelled. Time spent queued before the agent starts, and time a run spends idle waiting for your next message, don't count. Within that window, how much time counts depends on the [harness](/platform/harnesses/): * **Warp Agent** - The clock runs while the agent is generating a response and pauses while a command or tool the agent ran is executing, so a five-minute test suite doesn't add to the run's agent hours. * **Claude Code and Codex** - The clock runs for the whole run, including command execution and time spent waiting on the model provider. ## The three credit buckets 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](/support-and-community/plans-and-billing/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](/support-and-community/plans-and-billing/credits/#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. ## When platform credits apply Whether a run uses platform credits depends on where it runs and who pays for inference. ### Uses platform credits * **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](/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](/agents/inference/bring-your-own-api-key/), a [custom inference endpoint](/agents/inference/custom-inference-endpoint/), or BYOLLM, Warp isn't paying for the model call but still runs the platform layer around the agent. ### Doesn't use platform credits * **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 outside Warp doesn't consume platform credits. ## Where platform credits appear Platform credits appear in the same billing views as the rest of your credit usage, as credits rather than 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](/support-and-community/plans-and-billing/add-on-credits/) once those run out. ## Related pages * [Credits](/support-and-community/plans-and-billing/credits/) - How AI credits are measured and calculated. * [Add-on credits](/support-and-community/plans-and-billing/add-on-credits/) - Purchase additional credits or enable auto-reload. * [Bring Your Own API Key](/agents/inference/bring-your-own-api-key/) - Connect your own model provider keys. * [Custom inference endpoint](/agents/inference/custom-inference-endpoint/) - Route Warp through any OpenAI-compatible endpoint. * [Plans, pricing, and refunds](/support-and-community/plans-and-billing/plans-pricing-refunds/) - Compare plans and refund policies.Tell me about this feature: https://docs.warp.dev/support-and-community/plans-and-billing/platform-credits/Platform credits are calculated from agent hours 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 metered in agent hours, 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.
How platform credits are measured
Section titled “How platform credits are measured”Platform usage is metered in agent hours, the time an agent spends working on a task, and billed as platform credits. Time is counted exactly rather than rounded up to whole hours, so a run that works for 15 minutes bills a quarter of an agent hour. See Warp pricing for current rates; on Enterprise plans, the rate is set by your contract.
The clock starts when the agent starts up in its environment, including any environment setup the run performs, and stops when the run finishes, fails, or is cancelled. Time spent queued before the agent starts, and time a run spends idle waiting for your next message, don’t count.
Within that window, how much time counts depends on the harness:
- Warp Agent - The clock runs while the agent is generating a response and pauses while a command or tool the agent ran is executing, so a five-minute test suite doesn’t add to the run’s agent hours.
- Claude Code and Codex - The clock runs for the whole run, including command execution and time spent waiting on the model provider.
The three credit buckets
Section titled “The three credit buckets”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.
When platform credits apply
Section titled “When platform credits apply”Whether a run uses platform credits depends on where it runs and who pays for inference.
Uses platform credits
Section titled “Uses platform credits”- 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.
Doesn’t use platform credits
Section titled “Doesn’t use platform credits”- 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 outside Warp doesn’t consume platform credits.
Where platform credits appear
Section titled “Where platform credits appear”Platform credits appear in the same billing views as the rest of your credit usage, as credits rather than 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.
Related pages
Section titled “Related pages”- Credits - How AI credits are measured and calculated.
- Add-on credits - Purchase additional credits or enable auto-reload.
- Bring Your Own API Key - Connect your own model provider keys.
- Custom inference endpoint - Route Warp through any OpenAI-compatible endpoint.
- Plans, pricing, and refunds - Compare plans and refund policies.