otari
Open-source, OpenAI-compatible LLM gateway you run yourself. One endpoint for 40+ providers, with virtual keys, budgets, and usage tracking.
Not yet testedsource: GitHubhomepagePythonApache-2.0commit 1fbdc65e2d9e
Python, Apache-2.0 licensed. The project labels itself: ai, ai gateway, anthropic, api key management, budgets, cost tracking, gateway and litellm alternative.
otari has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
aiai-gatewayanthropicapi-key-managementbudgetscost-trackinggatewaylitellm-alternativellmllm-gatewayllm-proxyllm-routingllmopsmulti-provideropen-sourceopenaiopenai-compatiblepythonself-hosted
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Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/otari)Questions
- Does otari run?
- otari has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test otari?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for otari?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.