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Documentation Index

Fetch the complete documentation index at: https://docs.oppla.ai/llms.txt

Use this file to discover all available pages before exploring further.

This page summarizes Oppla’s subscription and billing model for individual developers, teams, and enterprises using AI features. It explains tiers, usage-based billing, quotas, trial options, and who to contact for enterprise plans.

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Overview

Oppla offers flexible plans to match different needs:
  • Free — ideal for exploration, lightweight usage, and open-source contributors
  • Individual (Pro) — for power users who want higher quotas, prioritized support, and advanced AI models
  • Team — collaboration features, shared quotas, and centralized billing
  • Enterprise — on-premise/local deployments, SSO & RBAC, audit logging, and dedicated support
AI features (completions, agents, edit prediction, model-hosting) are metered separately and may be subject to usage-based billing depending on provider and plan.

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Free Tier

  • Access to core editor features and basic AI assistance
  • Limited daily/monthly inference quota for cloud models
  • Local models can be used without cloud billing (subject to hardware)
  • Great for testing and onboarding — sign up to start a free trial of Pro features

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Individual (Pro)

  • Higher model quotas and priority queuing for cloud requests
  • Access to premium models and higher context windows (where available)
  • Advanced agent features and extended audit history
  • Monthly subscription billed via credit card or invoice (where supported)
Recommended for single developers who rely on AI for productivity and want predictable billing.

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Team

  • Centralized team billing and quota pooling
  • Role-based access controls and shared workspace limits
  • Team admin console for monitoring usage, assigning seats, and policy controls
  • Per-seat or pooled billing models (configurable)
Designed for small to medium engineering teams that need collaboration, governance, and cost control.

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Enterprise

  • On-premise / air-gapped deployment options and local-only model support
  • Enterprise-grade security: audit trails, encryption, SSO (SAML / OIDC), and RBAC
  • Custom pricing, committed usage discounts, and dedicated onboarding
  • SLA, priority engineering support, and professional services for migration/ops
Contact sales via enterprise@oppla.ai to discuss architecture, procurement, and compliance requirements.

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Usage-Based Billing & Quotas

  • Cloud model usage is typically metered by input tokens, output tokens, or inference calls depending on the provider.
  • Oppla surfaces usage in the team dashboard with per-user and per-project breakdowns.
  • Quotas and soft limits are configurable at org and project level to prevent runaway costs.
  • For local models, there is no cloud provider billing from Oppla — only operational costs for hosting models.

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Billing, Invoices & Payments

  • Payment methods: Credit card (Stripe), invoicing for eligible teams, and purchase orders for enterprise customers.
  • Invoices include line items for subscription seats and usage charges (if applicable).
  • Billing portal available for admins to download invoices, update payment methods, and view usage history.
  • Contact billing@oppla.ai for invoice support, tax documents, or billing disputes.

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Trial, Upgrade & Downgrade

  • New accounts may be eligible for a free Pro trial for a limited period.
  • Upgrades take effect immediately; prorated billing applies when switching plans mid-cycle.
  • Downgrades are scheduled at the end of the current billing period to avoid data loss or abrupt quota changes.
  • Admins can provision seats and set defaults for team onboarding.

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Enterprise Compliance & Procurement

  • We support SOC2/ISO-ready practices for enterprise customers (deployment options and audit logs).
  • For regulated environments, Oppla recommends local-only model deployments and review of the Privacy & Security documentation.
  • Procurement and contract templates are available on request through enterprise@oppla.ai.

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Cost Controls & Best Practices

  • Use a multi-model strategy: route cheap, fast models for everyday completions and reserve powerful models for heavy reasoning tasks.
  • Configure per-project AI Rules and quotas to prevent accidental data exfiltration and cost spikes.
  • Monitor usage dashboards and set alerts for high spend or anomalous usage patterns.
  • Prefer local-first or local-only modes for sensitive codebases to minimize cloud provider traffic.

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Support & Escalation

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Frequently Asked Questions

Q: Are AI model costs included in my subscription? A: Subscription tiers include seat-level features and baseline quotas. Model inference costs may be usage-based depending on model/provider and plan. Check your plan’s detailed pricing page or contact billing. Q: Can I use my own cloud provider account for model billing? A: In some enterprise setups, you can route calls through your provider accounts. Contact sales for configuration details and supported providers. Q: How do I prevent unexpected AI usage? A: Configure per-project quotas and AI Rules, enable alerts on usage dashboards, and use local-only mode for sensitive projects.
  • AI Configuration: ./configuration.mdx
  • Privacy & Security: ./privacy-and-security.mdx
  • Agent Panel & AI Features: ./overview.mdx, ./agent-panel.mdx
  • Extensions & Marketplace: ../extensions/overview.mdx
If you want, I can:
  • Add a detailed pricing table with feature-by-feature comparisons for each plan
  • Create sample invoices and billing portal screenshots
  • Draft enterprise onboarding/checklist for procurement and security reviews
Which of those would you like next?