OpenRouter
Note
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Note
Provider Setup 강화: caret-docs/features/f09-enhanced-provider-setup.md에 따라 캐럿은 프로바이더 설정 검증/UX가 강화될 수 있습니다. 계정/조직 정책 또는 캐럿 라우터 적용 시 허용/차단 모델이 달라질 수 있음을 안내하세요.
OpenRouter is an AI platform that provides access to a wide variety of language models from different providers, all through a single API. This can simplify setup and allow you to easily experiment with different models.
Website: https://openrouter.ai/
Getting an API Key
- Sign Up/Sign In: Go to the OpenRouter website. Sign in with your Google or GitHub account.
- Get an API Key: Go to the keys page. You should see an API key listed. If not, create a new key.
- Copy the Key: Copy the API key.
Supported Models
OpenRouter supports a large and growing number of models. Caret automatically fetches the list of available models. Refer to the OpenRouter Models page for the complete and up-to-date list.
Configuration in Caret
- Open Caret Settings: Click the settings icon (⚙️) in the Caret panel.
- Select Provider: Choose "OpenRouter" from the "API Provider" dropdown.
- Enter API Key: Paste your OpenRouter API key into the "OpenRouter API Key" field.
- Select Model: Choose your desired model from the "Model" dropdown.
- (Optional) Custom Base URL: If you need to use a custom base URL for the OpenRouter API, check "Use custom base URL" and enter the URL. Leave this blank for most users.
Supported Transforms
OpenRouter provides an optional "middle-out" message transform to help with prompts that exceed the maximum context size of a model. You can enable it by checking the "Compress prompts and message chains to the context size" box.
Tips and Notes
- Model Selection: OpenRouter offers a wide range of models. Experiment to find the best one for your needs.
- Pricing: OpenRouter charges based on the underlying model's pricing. See the OpenRouter Models page for details.
- Prompt Caching:
- OpenRouter passes caching requests to underlying models that support it. Check the OpenRouter Models page to see which models offer caching.
- For most models, caching should activate automatically if supported by the model itself (similar to how Requesty works).
- Exception for Gemini Models via OpenRouter: Due to potential response delays sometimes observed with Google's caching mechanism when accessed via OpenRouter, a manual activation step is required specifically for Gemini models.
- If using a Gemini model via OpenRouter, you must manually check the "Enable Prompt Caching" box in the provider settings to activate caching for that model. This checkbox serves as a temporary workaround. For non-Gemini models on OpenRouter, this checkbox is not necessary for caching.