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AI Team"},"description":"Javascript SDK for Imagineo AI","maintainers":[{"name":"baudevs_tech","email":"tech@baudevs.com"}],"readme":"# ImagineoAI JavaScript SDK\n\nA universal JavaScript/TypeScript SDK for interacting with the ImagineoAI API from both **browser** and **Node.js** environments.\n\n- **Dual entrypoint:** Environment-specific bundles for browser and Node.js\n- **Type-safe:** All API types and schemas are shared and validated\n- **Modern:** ESM, strict types, async/await, and universal fetch\n- **Image Operations:** Generate, upscale, and inpaint images with a unified API\n- **AI Models:** Support for Gemini 2.5, Nanobanana, Flux, OpenAI, and more\n- **Cloudinary AI:** Advanced object removal, background removal, and extraction\n- **Multimodal:** Combine up to 10 images with intelligent AI blending\n- **Smart Batch:** AI-powered batch generation of 20+ creative variations from a single image\n\n---\n\n## Installation\n\n```sh\nbun add @imagineoai/javascript-sdk\n# or\nnpm install @imagineoai/javascript-sdk\n```\n\n---\n\n## Usage\n\n### Describe a Run's Image\n\n```ts\nimport { ImagineoAIClient } from 'imagineoai-javascript-sdk/server';\n\nconst client = new ImagineoAIClient('https://api.imagineo.ai', { apiKey: 'YOUR_API_KEY' });\n\nconst result = await client.describe({\n  run_id: '123e4567-e89b-12d3-a456-426614174000',\n  model: 'llava13b', // or 'clip', optional\n});\n\nconsole.log(result.replicate_output);\n```\n\n### Browser\n\n```ts\nimport { ImagineoAIClient, upload } from \"@imagineoai/javascript\";\n\nconst client = new ImagineoAIClient(\"https://api.imagineoai.com\", { apiKey: \"sk-...\" });\n\nconst file = new File([/* ... */], \"image.png\");\nconst result = await client.uploadImage({ file });\n```\n\n### Node.js\n\n```ts\nimport { ImagineoAIClient, upload } from \"@imagineoai/javascript/server\";\nimport fs from \"fs\";\n\nconst client = new ImagineoAIClient(\"https://api.imagineoai.com\", { apiKey: \"sk-...\" });\n\nconst buffer = fs.readFileSync(\"./image.png\");\nconst result = await client.uploadImage({ file: buffer });\n```\n\n---\n\n## API Reference\n\n### ImagineoAIClient\n\n#### Constructor\n```ts\nnew ImagineoAIClient(apiUrl: string, authOptions?: ImagineoAIClientAuthOptions, options?: { debug: boolean })\n```\n- `apiUrl`: The base URL of the ImagineoAI API\n- `authOptions`: `{ apiKey: string }` or `{ getToken: () => Promise<string> }`\n- `options`: `{ debug: boolean }` (optional)\n\n#### Methods\n- `uploadImage(input: UploadImageRequest): Promise<UploadImageResponse>`\n  - Uploads an image file (browser: File/Blob, Node: Buffer/Readable)\n  - Supports `parent_id` to link uploads to existing runs\n  - Example:\n    ```ts\n    const result = await client.images.upload({\n      file: imageFile,\n      description: 'My edited image',\n      parent_id: 'original-run-uuid' // Links to parent run\n    });\n    ```\n- `upscale(input: UpscaleImageInput): Promise<GenerateImageOutput>`\n  - Upscales an existing image using a supported model.\n  - Example:\n    ```ts\n    const result = await client.images.upscale({\n      original_run_id: '...',\n      upscale_factor: 2,\n      use_original_prompt: true\n    });\n    ```\n- `inpaint(input: InpaintImageInput): Promise<GenerateImageOutput>`\n  - Inpaints an image using a mask and (optionally) a prompt or original run.\n  - Example:\n    ```ts\n    const result = await client.images.inpaint({\n      mask_image_url: 'https://.../mask.png',\n      image_url: 'https://.../input.png',\n      prompt: 'remove the background'\n    });\n    ```\n- `getRun(runId: string): Promise<RunRelatedResponse>`\n  - Fetches details for a specific run, including its associated jobs.\n  - Example:\n    ```ts\n    const runDetails = await client.images.getRun('your-run-id');\n    console.log(runDetails.data.jobs); // Array of job objects associated with the run\n    ```\n- `getRunJobs(runId: string): Promise<RunJobsListResponse>`\n  - Fetches all jobs specifically associated with a given run ID.\n  - Example:\n    ```ts\n    const jobsList = await client.images.getRunJobs('your-run-id');\n    console.log(jobsList.data); // Array of job objects\n    ```\n- `backgroundRemove(input: BackgroundRemoveRequest): Promise<BackgroundRemoveResponse>`\n  - Removes background from an image using Cloudinary AI\n  - Automatically tracks parent-child relationships when using `run_id`\n  - Example:\n    ```ts\n    // Using run_id (automatically sets parent_run_id)\n    const result = await client.images.backgroundRemove({\n      run_id: 'existing-run-uuid' // Parent run is tracked automatically\n    });\n    \n    // Using direct image URL\n    const result = await client.images.backgroundRemove({\n      image_url: 'https://example.com/image.jpg'\n    });\n    ```\n- `smartBatch.json(input: SmartBatchRequest): Promise<SmartBatchResponse>`\n  - Generate 20+ AI-powered creative variations from a single image\n  - Supports automatic creative brief generation or user-guided prompts\n  - Example:\n    ```ts\n    // Automatic creative generation\n    const batch = await client.images.smartBatch.json({\n      image_id: 'existing-run-id',\n      variation_count: 20\n    });\n    \n    // With enhanced user prompt\n    const batch = await client.images.smartBatch.json({\n      image_url: 'https://example.com/source.jpg',\n      prompt: 'cyberpunk style',\n      enhance_prompt: true,\n      variation_count: 25\n    });\n    \n    // Check status\n    const status = await client.images.smartBatch.getStatus(batch.batch_id);\n    console.log(`Progress: ${status.completed_variations}/${status.total_variations}`);\n    ```\n- `generativeRemove(input: GenerativeRemoveRequest): Promise<GenerativeRemoveResponse>`\n  - Removes specified objects from images using Cloudinary's generative AI\n  - Example:\n    ```ts\n    const result = await client.images.genRemove({\n      run_id: 'existing-run-uuid',\n      prompt: 'people', // What to remove\n      remove_shadow: true,\n      multiple: true // Remove all instances\n    });\n    ```\n- `extract(input: ExtractRequest): Promise<ExtractResponse>`\n  - Extracts specific objects from images using Cloudinary AI\n  - Example:\n    ```ts\n    const result = await client.images.extract({\n      run_id: 'existing-run-uuid',\n      prompt: 'cat', // What to extract\n      multiple: false // Extract single instance\n    });\n    ```\n\n#### Gemini 2.5 Features\n\n- **Generate with Gemini 2.5**:\n  ```ts\n  const result = await client.images.generate({\n    prompt: \"A futuristic cityscape\",\n    model_type: \"gemini-2.5\",\n    aspect_ratio: \"16:9\"\n  });\n  ```\n\n- **Combine Images with Gemini 2.5**:\n  ```ts\n  const result = await client.images.combine.gemini25.json({\n    prompt: \"Blend these into a cohesive scene\",\n    run_ids: [\"run1\", \"run2\", \"run3\"],\n    aspect_ratio: \"1:1\"\n  });\n  ```\n\n- **Edit with Gemini 2.5**:\n  ```ts\n  const result = await client.images.edit.gemini25.json({\n    prompt: \"Add a sunset sky\",\n    original_run_id: \"run123\",\n    mask_url: \"https://example.com/mask.png\",\n    aspect_ratio: \"16:9\"\n  });\n  ```\n  \n  - Example:\n    ```ts\n    const result = await client.images.extract({\n      run_id: 'existing-run-uuid',\n      prompt: 'car', // What to extract\n      mode: 'content', // or 'mask'\n      preserve_alpha: true\n    });\n    ```\n- `reframe(input: ReframeRequest): Promise<ReframeResponse>`\n  - Reframes images to different aspect ratios using Luma AI\n  - Automatically tracks parent-child relationships when using `run_id`\n  - Example:\n    ```ts\n    // JSON method\n    const result = await client.images.reframe.json({\n      run_id: 'existing-run-uuid', // Automatically becomes the parent\n      prompt: 'Expand the scene naturally',\n      aspect_ratio: '16:9',\n      model: 'photon-flash-1'\n    });\n    \n    // FormData method (for file uploads)\n    const result = await client.images.reframe.formData({\n      image_file: imageFile,\n      prompt: 'Reframe to square',\n      aspect_ratio: '1:1'\n    });\n    ```\n\n### Standalone Upload\n- `upload(input: UploadImageRequest): Promise<UploadImageResponse>`\n  - (Browser: from `@imagineoai/javascript-sdk`)\n  - (Node: from `@imagineoai/javascript-sdk/server`)\n\n### Types\n- `ImagineoAIClientAuthOptions`: `{ apiKey: string } | { getToken: () => Promise<string> }`\n- `UploadImageRequest`: `{ file: File | Blob | Buffer | Readable, description?: string, parent_id?: string }`\n- `UploadImageResponse`: `{ image_url: string; run_id: string; created_at: string; parent_id?: string }`\n- `BackgroundRemoveRequest`: `{ image_url?: string; run_id?: string }`\n- `BackgroundRemoveResponse`: `{ url: string; runId: string; parentRunId?: string }`\n- `GenerativeRemoveRequest`: `{ image_url?: string; run_id?: string; prompt: string; remove_shadow?: boolean; multiple?: boolean }`\n- `GenerativeRemoveResponse`: `{ url: string; runId: string; parentRunId?: string }`\n- `ExtractRequest`: `{ image_url?: string; run_id?: string; prompt: string; mode?: 'content' | 'mask'; preserve_alpha?: boolean; multiple?: boolean; invert?: boolean }`\n- `ExtractResponse`: `{ url: string; runId: string; parentRunId?: string }`\n- `ReframeRequest`: `{ prompt: string; image_url?: string; run_id?: string; aspect_ratio?: string; model?: 'photon-flash-1' | 'photon-1'; [positioning props] }` (run_id automatically becomes parent)\n- `ReframeFormDataRequest`: Similar to ReframeRequest but accepts `image_file` for direct file uploads\n- `RunRelatedResponse`: An object containing run details, including an array of associated `jobs` within its `data` property.\n- `RunJobsListResponse`: An object containing an array of `Job` objects within its `data` property.\n\n---\n\n## Parent-Child Relationship Tracking\n\nThe SDK supports tracking relationships between images through the `parent_id` field. This helps maintain image lineage across operations:\n\n### Automatic Parent Tracking\nWhen using `run_id` with operations like background removal and reframe, the parent relationship is automatically established:\n```ts\n// Original image has run_id: 'abc-123'\n\n// Background removal\nconst bgRemoved = await client.images.backgroundRemove({\n  run_id: 'abc-123' // This becomes the parent\n});\n// bgRemoved.parentRunId === 'abc-123'\n\n// Reframe\nconst reframed = await client.images.reframe.json({\n  run_id: 'abc-123', // This becomes the parent\n  prompt: 'Expand to 16:9',\n  aspect_ratio: '16:9'\n});\n// reframed.parent_id === 'abc-123'\n```\n\n### Manual Parent Tracking\nFor upload operations, you can manually specify the parent:\n```ts\n// Upload with parent\nconst upload = await client.images.upload({\n  file: editedImage,\n  parent_id: 'original-run-uuid'\n});\n```\n\n### Use Cases\n- Track editing history and image derivations\n- Build image family trees\n- Maintain audit trails for generated content\n- Link variations back to originals\n\n---\n\n## Environment-specific Details\n\n- **Browser**: Uses native `fetch` and `FormData`. Only accepts `File` or `Blob` for uploads.\n- **Node.js**: Uses [`formdata-node`](https://github.com/octet-stream/form-data) and [`undici`](https://github.com/nodejs/undici) for fetch and form uploads. Accepts `Buffer` or `Readable` streams.\n\n---\n\n## Shared Utilities\n\n- `getAuthHeader(authOptions)`: Returns the correct Authorization header for API key or token-based auth.\n- `validateUploadInput(input)`: Throws if the upload input is invalid.\n\n---\n\n## Development\n\n- All shared types are in `src/types.ts`.\n- Shared helpers in `src/shared/`.\n- Environment-specific implementations in `src/browser/` and `src/server/`.\n\n---\n\n## License\nMIT\n","readmeFilename":"README.md"}