Operator FAQ

The core answers, cleaned up and ready.

These are the most common questions about pricing, model access, OpenRouter setup, and the privacy-first workflow inside Open Harness.

FAQ

What is the price of Open Harness versus using each model provider directly?

Open Harness uses your own OpenRouter key, so the model pricing follows OpenRouter pricing for the models you call. In practice, that means it is the same model-usage pricing you would pay through the API layer, but Open Harness gives you one command deck instead of juggling multiple provider sites, multiple keys, and fragmented model access.

FAQ

Do I have access to all models?

Yes. You can access the models exposed to your OpenRouter account and API key, then route them into side-by-side Open Harness panels for direct comparison.

FAQ

Where do I view the models?

OpenRouter publishes the live model catalog here: https://openrouter.ai/models. Inside Open Harness, those models are also available through the harness panel selectors and the right-side routing controls.

FAQ

How do I set up an OpenRouter account?

Use the OpenRouter quickstart here: https://openrouter.ai/docs/quickstart. Once your account is live and funded, return to Open Harness and paste your API key into the app.

FAQ

Where do I find my OpenRouter API key?

Use the OpenRouter API key guide here: https://openrouter.ai/docs/api/api-reference/api-keys/get-key. Keep the key private because it controls the model usage billed to your OpenRouter account.

FAQ

Where do I paste my OpenRouter API key?

After successful payment, click the top-nav Open App button. Once inside the harness, paste your OpenRouter API key into the right-side control sidebar. You can use a draft key for the session or save an encrypted key to your account.

FAQ

Why does Open Harness emphasize privacy and anonymity?

The product is built around a wallet-gated operator lane, isolated panel memory, and no shared conversation bleed across model panels. That means you can compare outputs, test prompts, and move faster without merging every thread into one shared chat stream.

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