AI API

Otari

An open-source, OpenAI-compatible LLM gateway you run yourself, providing a single endpoint for 40+ providers with virtual keys, budgets, and usage tracking.

What is Otari?

Otari is an open-source proxy server that routes LLM requests from your applications to over 40 providers through a single OpenAI-compatible endpoint, handling authentication, budget enforcement, and usage logging.

Otari vs Similar AI Tools

Pricing ModelFreeCustom PricingFreeFree
Free Credits
Key Features
  • OpenAI-compatible endpoint for 40+ LLM providers
  • Virtual API keys with scoped permissions and revocation
  • Pre-request budget enforcement per user and per key
  • Enterprise-Grade Runtime with high availability
  • Flexible Identity & Access (SAML, OAuth)
  • Tenant Isolation with isolated runtimes, credentials, and audit trails
  • Emulates Ollama, OpenAI, and llama.cpp APIs
  • Transparent forwarding to NVIDIA's OpenAI-compatible API
  • Optional response caching with configurable TTL and size
  • Transparent credential injection for AI agents
  • AES-256-GCM encrypted secret storage at rest
  • Host and path matching for routing secrets to endpoints
Pros
  • Open-source and self-hosted, keeping provider keys and data in your environment
  • One endpoint simplifies client integration across providers
  • Enterprise-grade security and governance built-in
  • Multi-tenant isolation for SaaS providers
  • Lightweight and easy to deploy via Docker
  • Caches responses to reduce API calls and latency
  • Open-source and self-hosted, giving full control over credentials
  • Easy setup with one-line install or Docker
Cons
  • Requires initial setup and maintenance of the server
  • Self-hosted mode lacks managed multi-provider fallback (available in hybrid mode with otari.ai account)
  • Pricing is not transparent and requires contacting sales
  • Requires technical expertise to set up and configure workflows
  • Only forwards to NVIDIA's API; no other cloud provider support
  • Requires a valid NVIDIA API key
  • Currently limited to single-user local mode by default; OAuth setup requires additional config
  • Requires self-hosting infrastructure (Docker/PostgreSQL)
Best For
  • Developers and teams needing a unified LLM API gateway
  • Organizations requiring fine-grained access control and cost management
  • Enterprises needing a secure, governable integration platform
  • SaaS companies requiring multi-tenant integration for customers
  • Developers integrating NVIDIA LLMs into existing workflows
  • Users of Open WebUI, curl, or SDKs wanting to leverage NVIDIA models
  • Developers building AI agents that need secure API access
  • Teams managing multiple AI agent deployments with varying credential scopes

How to use Otari?

  1. 1Deploy Otari using Docker (e.g., docker run with your provider keys and master key).
  2. 2Create a virtual API key via the management endpoint or bootstrapped key.
  3. 3Point your OpenAI client to http://localhost:8000/v1 with the virtual key.
  4. 4Make requests using any model provider (e.g., openai:gpt-4o-mini).
  5. 5Monitor usage and budgets via the /v1/usage endpoint.

Otari Key Features

  • OpenAI-compatible endpoint for 40+ LLM providers
  • Virtual API keys with scoped permissions and revocation
  • Pre-request budget enforcement per user and per key
  • Usage and spend logging with queryable history
  • Built-in tools: sandboxed code execution and web search
  • Guardrails for input safety (e.g., prompt injection detection)
  • Standalone or hybrid mode with cloud management

Otari Use Cases

  • Centralize API key management for multiple LLM providers
  • Control costs by setting budgets before requests execute
  • Enable secure access to LLMs without exposing provider keys
  • Track usage across teams and applications
  • Run custom guardrails and tools with any model

Otari Pricing & Free Credits

Otari currently operates on a Free model.

This tool is completely free to use

Self-hosted Open Source

Free

Otari is open-source (Apache 2.0) and can be run on your own infrastructure at no cost.

Otari Pros & Cons

Pros

  • Open-source and self-hosted, keeping provider keys and data in your environment
  • One endpoint simplifies client integration across providers
  • Budget enforcement before calls, preventing unexpected costs
  • Comprehensive usage tracking and logging

Cons

  • Requires initial setup and maintenance of the server
  • Self-hosted mode lacks managed multi-provider fallback (available in hybrid mode with otari.ai account)
  • Some advanced features (e.g., native provider tools) are limited to specific models

What is Otari best for?

  • Developers and teams needing a unified LLM API gateway
  • Organizations requiring fine-grained access control and cost management
  • Those who want to avoid vendor lock-in and keep data private

Otari FAQ

Top free alternatives to Otari

YAFL logo

An agent-first file transfer tool that enables secure, encrypted file sharing between AI agents via MCP calls without human involvement.

Free
TwelveLabs logo

TwelveLabs is a video intelligence platform that enables developers to search, analyze, and understand video content using powerful AI models via API.

Free
Agentcard logo

Agentcard provides agent-friendly card issuing and payment infrastructure for AI agents, enabling 5-minute setup and autonomous purchases.

Free
Opper AI logo

A unified AI gateway providing access to 300+ leading models through one EU-hosted, GDPR-compliant API with an OpenAI SDK-compatible interface.

Free
D

Dike is a compliance gateway for AI products in the EU, providing audit-grade logging, human oversight, and incident reporting via a simple proxy.

Free
Music0 AI logo

A free AI music generator and music video maker that creates original songs in any genre and transforms them into stunning music videos with synchronized visuals.

Free
XSDR logo

Real-time event monitoring infrastructure for AI agents that delivers low-latency data streams and webhook notifications to trigger automated workflows.

Free

Best alternatives AI Tools to Otari

Koodisi logo

Koodisi is an enterprise iPaaS and workflow automation platform that connects APIs, MCP servers, and AI agents with built-in security, governance, and tenant isolation.

llmproxy logo

A lightweight, high-performance LLM proxy for caching, failover, cost tracking, and seamless integration between local and cloud AI providers.

OneCLI logo

Open-source credential gateway and secret vault that lets AI agents access APIs without exposing keys.

YAFL logo

An agent-first file transfer tool that enables secure, encrypted file sharing between AI agents via MCP calls without human involvement.

Free
Millwright logo

Millwright is an open-source, self-hosted LLM router that routes AI requests to the lowest-cost model providers based on policy, preserving prompt caches and controlling spend.

TwelveLabs logo

TwelveLabs is a video intelligence platform that enables developers to search, analyze, and understand video content using powerful AI models via API.

Free
FlexInference logo

A deadline-aware LLM router that reduces AI inference costs by automatically finding cheaper service tiers within a user-specified time window.

Agentcard logo

Agentcard provides agent-friendly card issuing and payment infrastructure for AI agents, enabling 5-minute setup and autonomous purchases.

Free