Question 1

What counts as a credit in Warp?

Accepted Answer

Interactions with agents in Warp consume credits through a combination of inference costs and platform fees. Inference costs are charged for any use of the Warp Agent and are based on the tokens used to complete the task. Platform fees cover the cost of compute when running cloud agents or routing requests through the Warp server. Credit usage depends on factors like the model used, the size of the task, the amount of context gathered, codebase size, and whether the agent runs locally or in the cloud.

Question 2

Does Warp have a SOC 2 Type 2 attestation?

Accepted Answer

Yes, Warp has obtained a SOC 2 Type 2 attestation from an accredited third party. Visit Warp’s Trust Center to request the report.

Question 3

Should I subscribe to the Build plan, Max plan, or the Business plan?

Accepted Answer

Build is a good fit for individual developers or small teams that want flexible access to Warp AI. It includes 1,500 monthly credits, Reload credits, full Warp Agent access, BYOK, custom inference endpoint support, collaboration features, and higher codebase indexing limits. Max is for heavy AI users who consistently need more capacity. It includes 18,000 monthly credits (12× Build's included credits) and a ~17% better effective credit rate than the best add-on credit tier. Business is for teams that need SSO, team usage metrics, admin-configurable data controls, and centralized spend management. It supports up to 25 members and includes 1,500 credits per seat per month.
For unlimited seats, advanced governance, custom credits and usage terms, the Enterprise Analytics API, BYOLLM, per-user spend controls, or self-hosted cloud agents, contact us about Enterprise.

Question 4

How can I subscribe to a Warp Business or Enterprise plan?

Accepted Answer

You can subscribe to the Business plan directly from our upgrade page or via your in-app Settings > Billing & usage page. For larger engineering organizations or companies that need advanced compliance, governance, custom usage terms, or dedicated support, Warp also offers an Enterprise plan with custom pricing and deployment options. To learn more, contact us at sales@warp.dev or submit a request.

Question 5

Does Warp have Zero Data Retention policies with LLM providers?

Accepted Answer

Warp integrates with multiple Large Language Model (LLM) providers to power its AI-driven features. These providers include, but are not limited to: Anthropic OpenAI Google Fireworks AI Warp has executed Zero Data Retention (ZDR) agreements with these providers. This means that, by default across all plans: LLM providers don’t train their models on any customer-generated data processed through Warp’s services. LLM providers commit to delete inputs and outputs after generating the relevant output, within a fixed time period. Warp enforces these commitments through technical and contractual safeguards. Zero data retention is available for supported models; availability may vary where a provider requires data retention for safety, abuse monitoring, or compliance reasons.

Question 6

How can I enable Zero Data Retention in Warp?

Accepted Answer

Zero Data Retention (ZDR) can be enabled in two ways: Individual level — Any user can enable full ZDR for their own account by disabling Help Improve Warp in their Warp settings under Privacy. Organization-wide — On the Business and Enterprise plans, admins can enforce ZDR for all members by default via the Admin panel, ensuring team-wide compliance without relying on individual settings. If you’d like to request organization-wide ZDR, please contact your Warp sales representative at sales@warp.dev or submit a request via our Contact Sales form. Regardless of plan, for any model offered under Zero Data Retention, Warp never allows the provider to store, retain, or train on your data. Some models are available only where the provider requires data retention; those are clearly indicated, and on Enterprise they're off by default until an admin enables them.

Question 7

Do paid plans support additional AI usage beyond the included credits?

Accepted Answer

Yes. Build, Max, and Business support additional AI usage through Reload credits. After a user’s included monthly credits are used, they can continue using AI features with Reload credits. Reload credits are tied to individual users, roll over month to month, remain valid for 12 months, and offer discounts for larger denominations. Team admins can configure team-wide spend caps and auto-reload settings for Reload credit usage.

Question 8

How often do AI credit limits reset?

Accepted Answer

Your included plan credits reset every 30 days from your subscription or renewal date. You can view your remaining balance under Settings > Billing and usage. If you run out of credits before your next reset, you can purchase Reload credits to keep using AI features without interruption. On eligible plans, admins can also configure auto-reload and team-wide spend caps.

Question 9

How does auto-reload work for teams?

Accepted Answer

On Build, Max, and Business, team admins can configure auto-reload for Reload credit usage. When auto-reload is ON, the admin selects the Reload credit denomination for the team. Warp automatically reloads credits when a user’s credit pool drops below the threshold, subject to the team-wide spend cap. When auto-reload is OFF, eligible team members can purchase Reload credits manually, as long as the team remains below the team-wide spend cap.

Question 10

How do Reload credits work for multi-seat teams?

Accepted Answer

For teams on Build, Max, or Business, included monthly credits are tied to each paid seat and reset monthly based on the subscription or renewal date. Reload credits are also tied to individual users rather than pooled across the team. If a user runs out of included credits, they can purchase additional credits that will be tied to their account and purchased via the billing method on file. Team admins can configure team-wide spend caps and auto-reload settings to manage overall Reload credit usage. Existing pooled Reload credits purchased before this change remain available and will be used first. After those credits are used, new Reload credits will be attributed to individual users.

Question 11

How are team-scoped API key requests billed on self-serve plans?

Accepted Answer

On self-serve plans, Reload credits are tied to individual users. Some requests, such as requests made through a team-scoped API key, may not be attributable to a specific individual user. When Warp cannot identify an individual billing user for a request, usage is billed to the team owner. In that case, usage draws from the team owner’s included credits first, then from the team owner’s Reload credits. If auto-reload is enabled, service account usage may trigger auto-reload for the team owner’s credit pool, subject to the team-wide spend cap.

Question 12

What payment options are available?

Accepted Answer

Warp uses Stripe for payment processing and the only available payment method is by credit card. Warp cannot currently accept payment by ACH, cash, check, money order, or crypto-currency.

Question 13

Are there any Warp discounts for students, non-profits, or open-source teams?

Accepted Answer

At this time, Warp does not offer any discounts for students, non-profits, or open-source teams. We recommend checking out Warp’s Free plan which includes all of the core terminal features and enough AI usage to help you get started.

Question 14

I’m an individual developer. Can I bring my own LLM API key?

Accepted Answer

Yes. You can bring your own API key for supported model providers, including OpenAI, Anthropic, and Google. This lets you use your own provider account while still using Warp’s agent experience, tools, and interface. To add your own key, go to Settings > Agents > Warp Agent in Warp. BYOK is available to individuals and organizations with 10 or fewer employees; larger organizations need a Business or Enterprise plan, subject to Warp's Terms of Service.

Question 15

Does Warp support custom inference endpoints?

Accepted Answer

Yes. Warp supports custom inference endpoints for OpenAI-compatible providers and gateways — connect endpoints such as OpenRouter, LiteLLM, z.ai, or an internal gateway, as long as the endpoint supports the OpenAI Chat Completions API. Use this when you want to route Warp’s AI features through your own provider, router, or internal inference gateway. Learn more in our docs. Like BYOK, custom inference endpoints are available to individuals and organizations with 10 or fewer employees; larger organizations need a Business or Enterprise plan, subject to Warp's Terms of Service.

Question 16

Does Warp support other model routers or “Bring your own LLM”?

Accepted Answer

On the Enterprise plan, Warp lets you connect to major cloud providers’ Model-as-a-Service offerings (including AWS Bedrock, Google Vertex AI, and Azure AI Foundry). Warp still manages model support, routing, and orchestration, but inference runs in your cloud environment so you can maintain data locality, security controls, and existing cloud spend commitments. Learn more in our docs. If you’re looking to use a different router or a custom / in-house model, that isn’t supported by default today. Reach out to sales@warp.dev with your requirements.

Question 17

What features are available during multi-harness orchestration beta?

Accepted Answer

During beta, multi-harness orchestration is available to all users. This lets you use Claude Code, Codex, and the Warp Agent in Oz cloud environments, and mix and match harnesses across workflows. Agent Memory is currently in Research Preview. It allows preferences, project knowledge, and learnings from past sessions to carry across harnesses and future agent runs. You can join the waitlist to request access. As these features move out of beta or Research Preview, availability, limits, and pricing may change.

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