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[Get started with AI Gateway](https://vercel.com/ai-gateway).\n\n## Setup\n\nThe GMI Cloud provider is available in the `@ai-sdk/gmicloud` module. You can install it with\n\n```bash\nnpm i @ai-sdk/gmicloud\n```\n\n## Provider Instance\n\nYou can import the default provider instance `gmicloud` from `@ai-sdk/gmicloud`:\n\n```ts\nimport { gmicloud } from '@ai-sdk/gmicloud';\n```\n\nThe GMI Cloud API key is read from the `GMI_CLOUD_APIKEY` environment variable by default. For custom configuration, use `createGmicloud`:\n\n```ts\nimport { createGmicloud } from '@ai-sdk/gmicloud';\n\nconst gmicloud = createGmicloud({\n  apiKey: process.env.GMI_CLOUD_APIKEY ?? '',\n});\n```\n\n## Language Models\n\n```ts\nimport { gmicloud } from '@ai-sdk/gmicloud';\nimport { generateText } from 'ai';\n\nconst { text } = await generateText({\n  model: gmicloud('deepseek-ai/DeepSeek-V4-Flash-0731'),\n  prompt: 'What is the capital of France?',\n});\n```\n\nGMI Cloud serves an evolving catalog of open-weight models over chat completions, so model ids are typed as `string`. Embedding and image models are not supported.\n\n## Error diagnostics\n\nGMI Cloud's edge reports a generic banner in `error.message` on rejections and nests the backend engine's diagnostic in `error.details`. This provider unwraps the nested diagnostic, so `AI_APICallError.message` carries the engine's reason (e.g. `The request is invalid: Invalid max_tokens value, the valid range of max_tokens is [1, 393216].`) instead of `Backend request failed with status 400`.\n","readmeFilename":""}