# Otari — AI Coding Tool Review & Pricing

> Otari is Mozilla.ai's open-source LLM gateway and control plane. It exposes one OpenAI- and Anthropic-compatible endpoint for 40+ providers, issues scoped virtual keys, enforces budgets before requests are dispatched and records usage, and its CLI adds repo-committed guardrails for coding agents.

Source: https://ai.dosa.dev/tools/otari · Updated Oct 18, 2026 · Category: Developer Productivity & Workflow · Published by dosa.dev

## At a glance

- **Tool**: Otari
- **Company**: Mozilla.ai
- **Category**: [Developer Productivity & Workflow](https://ai.dosa.dev/category/productivity)
- **Pricing model**: Freemium
- **Official website**: https://otari.ai

## Key features

- OpenAI and Anthropic-compatible endpoint for 40+ providers via any-llm
- Revocable virtual keys scoped by user, workspace and model
- Budget checks before dispatch and usage tracking after settlement
- Failover, weighted and learned routing policies with an admin dashboard
- Optional code execution, web search, MCP and inference guardrails
- otari hook Agent Guardrails that block forbidden coding-agent tool calls and diffs, also checkable in CI

## Pricing

**Model**: Freemium

The gateway is free and open source (Apache-2.0) to self-host in standalone mode; a hybrid mode connects a self-run data plane to the hosted otari.ai control plane. Model usage is billed by your providers.

## Who it is for

- **Best for**: Teams that want to route Claude Code and other LLM clients through a self-hosted gateway with per-user keys, budgets and usage visibility.
- **Not ideal for**: Solo developers with a single provider key who do not need centralized key management, budgets or routing.

## Verdict

A credible, actively developed open-source gateway from Mozilla.ai that combines provider routing and spend control with practical guardrails for coding agents.

## Recent updates

Shipped rapid releases through v0.28.0 on October 16, 2026, with active development continuing on October 18, 2026; Mozilla.ai launched it publicly in July 2026 as an open-source LLM control plane.

## Frequently asked questions

### Is Otari free?

Otari is Freemium. The gateway is free and open source (Apache-2.0) to self-host in standalone mode; a hybrid mode connects a self-run data plane to the hosted otari.ai control plane. Model usage is billed by your providers. Check the official site for current plans.

### Is Otari open source?

Yes - Otari is open source. The gateway is free and open source (Apache-2.0) to self-host in standalone mode; a hybrid mode connects a self-run data plane to the hosted otari.ai control plane. Model usage is billed by your providers.

### How much does Otari cost?

The gateway is free and open source (Apache-2.0) to self-host in standalone mode; a hybrid mode connects a self-run data plane to the hosted otari.ai control plane. Model usage is billed by your providers. Pricing changes often - verify on the official site.

### Who is Otari best for?

Teams that want to route Claude Code and other LLM clients through a self-hosted gateway with per-user keys, budgets and usage visibility.

### Who is Otari not ideal for?

Solo developers with a single provider key who do not need centralized key management, budgets or routing.

### What are the best Otari alternatives?

The closest Otari alternatives on ai.dosa.dev are Pieces for Developers, agenttrace, Vibe Kanban - all listed under Developer Productivity & Workflow.

### Who makes Otari?

Otari is developed by Mozilla.ai. It is listed in the Developer Productivity & Workflow category on ai.dosa.dev.

## Top alternatives

- [Pieces for Developers](https://ai.dosa.dev/tools/pieces-for-developers) (Freemium) — Developers and teams who need to manage disparate workflow context, revisit past coding decisions, and maintain consistent documentation across multiple tools and projects.
- [agenttrace](https://ai.dosa.dev/tools/agenttrace) (Open Source) — Developers who need a privacy-conscious way to audit, monitor, and diagnose the behavior, costs, and performance of various AI coding agents locally.
- [Vibe Kanban](https://ai.dosa.dev/tools/vibe-kanban) (Free) — Solo developers and individual power users who need to run multiple AI coding agents in parallel while managing separate git worktrees and tasks locally.
- [ai-memory](https://ai.dosa.dev/tools/ai-memory) (Open Source) — Developers who frequently switch between multiple AI coding agents or machines and want a unified, persistent knowledge base that survives session ends and tool switches.
- [smolvm](https://ai.dosa.dev/tools/smolvm) (Open Source) — Running untrusted code, powering coding agents with persistent/resettable workspaces, and deploying portable VM-based workloads that require a real Linux kernel.
- [coop](https://ai.dosa.dev/tools/coop) (Open Source) — Security-conscious developers who want to run autonomous coding agents on real projects without risking host machine compromise.
- Full alternatives guide: https://ai.dosa.dev/tools/otari/alternatives