> Discover all available pages from the documentation index: https://mastra.zisheng.pro/fr/llms.txt # ![EmpirioLabs AI logo](https://models.dev/logos/empiriolabs.svg)EmpirioLabs AI Accédez à 42 modèles EmpirioLabs AI via le routeur de modèles de Mastra. L’authentification est gérée automatiquement à l’aide de la variable d’environnement `EMPIRIOLABS_API_KEY`. Pour en savoir plus, consultez la [documentation EmpirioLabs AI](https://docs.empiriolabs.ai). ```bash EMPIRIOLABS_API_KEY=your-api-key ``` ```typescript import { Agent } from "@mastra/core/agent"; const agent = new Agent({ id: "my-agent", name: "My Agent", instructions: "You are a helpful assistant", model: "empiriolabs/deepseek-v3-2" }); // Generate a response const response = await agent.generate("Hello!"); // Stream a response const stream = await agent.stream("Tell me a story"); for await (const chunk of stream) { console.log(chunk); } ``` > **Info:** Mastra utilise le point de terminaison `/chat/completions` compatible avec OpenAI. Certaines fonctionnalités propres au Provider peuvent ne pas être disponibles. Consultez la [documentation EmpirioLabs AI](https://docs.empiriolabs.ai) pour plus de détails. ## Modèles | Model | Context | Tools | Reasoning | Image | Audio | Video | Input $/1M | Output $/1M | | -------------------------------------- | ------- | ----- | --------- | ----- | ----- | ----- | ---------- | ----------- | | `empiriolabs/deepseek-v3-2` | 128K | | | | | | $0.57 | $2 | | `empiriolabs/deepseek-v4-flash` | 1.0M | | | | | | $0.14 | $0.28 | | `empiriolabs/deepseek-v4-flash-0731` | 1.0M | | | | | | $0.14 | $0.28 | | `empiriolabs/deepseek-v4-pro` | 1.0M | | | | | | $2 | $3 | | `empiriolabs/gemma-4-26b-a4b` | 262K | | | | | | $0.05 | $0.29 | | `empiriolabs/glm-4-5-flash` | 200K | | | | | | — | — | | `empiriolabs/glm-4-7-flash` | 200K | | | | | | — | — | | `empiriolabs/glm-5-1` | 202K | | | | | | $0.82 | $3 | | `empiriolabs/glm-5-2` | 1.0M | | | | | | $1 | $4 | | `empiriolabs/kimi-k2-6` | 256K | | | | | | $0.89 | $4 | | `empiriolabs/kimi-k2-7-code` | 256K | | | | | | $0.95 | $4 | | `empiriolabs/kimi-k2-7-code-highspeed` | 256K | | | | | | $2 | $8 | | `empiriolabs/kimi-k3` | 1.0M | | | | | | $3 | $15 | | `empiriolabs/mimo-v2-5` | 1.0M | | | | | | $0.70 | $1 | | `empiriolabs/mimo-v2-5-pro` | 1.0M | | | | | | $2 | $4 | | `empiriolabs/minimax-m2-7` | 200K | | | | | | $0.15 | $0.60 | | `empiriolabs/minimax-m2-7-highspeed` | 200K | | | | | | $0.30 | $1 | | `empiriolabs/minimax-m3` | 1.0M | | | | | | $0.23 | $0.90 | | `empiriolabs/mistral-medium-3` | 130K | | | | | | — | — | | `empiriolabs/mistral-small-4` | 256K | | | | | | $0.15 | $0.60 | | `empiriolabs/muse-spark-1-1` | 1.0M | | | | | | $1 | $4 | | `empiriolabs/qwen3-5-122b-a10b` | 256K | | | | | | $0.12 | $0.92 | | `empiriolabs/qwen3-5-27b` | 256K | | | | | | $0.09 | $0.69 | | `empiriolabs/qwen3-5-35b-a3b` | 256K | | | | | | $0.06 | $0.46 | | `empiriolabs/qwen3-5-397b-a17b` | 256K | | | | | | $0.17 | $1 | | `empiriolabs/qwen3-5-4b` | 262K | | | | | | $0.04 | $0.07 | | `empiriolabs/qwen3-5-9b` | 262K | | | | | | $0.09 | $0.13 | | `empiriolabs/qwen3-5-flash` | 1.0M | | | | | | $0.09 | $0.37 | | `empiriolabs/qwen3-5-plus` | 1.0M | | | | | | $0.36 | $2 | | `empiriolabs/qwen3-6-27b` | 256K | | | | | | $0.41 | $2 | | `empiriolabs/qwen3-6-35b-a3b` | 131K | | | | | | $0.07 | $0.42 | | `empiriolabs/qwen3-6-flash` | 1.0M | | | | | | $0.25 | $2 | | `empiriolabs/qwen3-6-max-preview` | 256K | | | | | | $1 | $8 | | `empiriolabs/qwen3-6-plus` | 1.0M | | | | | | $0.50 | $3 | | `empiriolabs/qwen3-7-flash` | 1.0M | | | | | | $0.03 | $0.13 | | `empiriolabs/qwen3-7-max` | 1.0M | | | | | | $3 | $8 | | `empiriolabs/qwen3-7-plus` | 1.0M | | | | | | $0.40 | $2 | | `empiriolabs/qwen3-8-max` | 1.0M | | | | | | $2 | $6 | | `empiriolabs/qwen3-max` | 256K | | | | | | $1 | $6 | | `empiriolabs/step-3-5-flash` | 256K | | | | | | $0.10 | $0.30 | | `empiriolabs/step-3-5-flash-2603` | 256K | | | | | | $0.10 | $0.30 | | `empiriolabs/step-3-7-flash` | 256K | | | | | | $0.20 | $1 | ## Configuration avancée ### En-têtes personnalisés ```typescript const agent = new Agent({ id: "custom-agent", name: "custom-agent", model: { url: "https://api.empiriolabs.ai/v1", id: "empiriolabs/deepseek-v3-2", apiKey: process.env.EMPIRIOLABS_API_KEY, headers: { "X-Custom-Header": "value" } } }); ``` ### Sélection dynamique du modèle ```typescript const agent = new Agent({ id: "dynamic-agent", name: "Dynamic Agent", model: ({ requestContext }) => { const useAdvanced = requestContext.task === "complex"; return useAdvanced ? "empiriolabs/step-3-7-flash" : "empiriolabs/deepseek-v3-2"; } }); ```