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docs: Add Tensorix to LLM providers guide
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@ -733,6 +733,75 @@ Example adding routing preferences to a model:
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These routing controls let you fine‑tune cost, capability, and reliability trade‑offs without changing the model name you select in the UI.
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### Tensorix {#tensorix}
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[Tensorix](https://tensorix.ai) provides 50+ open-source models through an OpenAI-compatible API with EU-hosted inference and zero data retention.
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1. Sign up at [app.tensorix.ai](https://app.tensorix.ai/register) and generate an API key
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2. Open the settings view (`agent: open settings`) and look for the **Add Provider** button
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3. Choose **OpenAI Compatible** and set the provider name to `Tensorix`
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4. Set the API URL to `https://api.tensorix.ai/v1`
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5. Set `TENSORIX_API_KEY` in your environment
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```json [settings]
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{
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"language_models": {
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"openai_compatible": {
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"Tensorix": {
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"api_url": "https://api.tensorix.ai/v1",
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"available_models": [
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{
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"name": "z-ai/glm-5",
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"display_name": "GLM-5",
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"max_tokens": 203000,
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"capabilities": {
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"tools": true,
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"images": false
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}
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},
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{
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"name": "deepseek/deepseek-chat-v3.1",
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"display_name": "DeepSeek V3.1",
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"max_tokens": 164000,
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"capabilities": {
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"tools": true,
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"images": false
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}
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},
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{
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"name": "deepseek/deepseek-r1-0528",
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"display_name": "DeepSeek R1",
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"max_tokens": 164000,
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"capabilities": {
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"tools": true,
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"images": false
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}
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},
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{
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"name": "minimax/minimax-m2.5",
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"display_name": "MiniMax M2.5",
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"max_tokens": 197000,
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"capabilities": {
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"tools": true,
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"images": false
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}
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},
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{
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"name": "moonshotai/kimi-k2.5",
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"display_name": "Kimi K2.5",
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"max_tokens": 262000,
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"capabilities": {
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"tools": true,
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"images": true
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}
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}
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]
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}
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}
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}
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}
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```
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### Vercel AI Gateway {#vercel-ai-gateway}
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[Vercel AI Gateway](https://vercel.com/ai-gateway) provides access to many models through a single OpenAI-compatible endpoint.
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