# generate_image > Generate or edit images and write generated image files to temporary paths. ## Source - Entry: `packages/coding-agent/src/tools/image-gen.ts` - Model-facing prompt: `packages/coding-agent/src/prompts/tools/image-gen.md` - Session injection: `packages/coding-agent/src/sdk.ts` (`getImageGenTools()`) ## Inputs | Field | Type | Required | Description | |---|---|---:|---| | `subject` | `string` | Yes | Main image prompt. For edits, describe the desired result and each input image's role. | | `action` | `string` | No | What the subject is doing. | | `scene` | `string` | No | Location or environment. | | `composition` | `string` | No | Camera angle and framing. | | `lighting` | `string` | No | Lighting setup. | | `style` | `string` | No | Artistic style. | | `text` | `string` | No | Text to render in the image. Keep short and specify legibility when needed. | | `changes` | `string[]` | No | Edit instructions for input images. | | `aspect_ratio` | `"1:1" \| "3:4" \| "4:3" \| "9:16" \| "16:9" \| "3:2" \| "2:3"` | No | Requested output aspect ratio. | | `image_size` | `"1024x1024" \| "1536x1024" \| "1024x1536"` | No | Requested output size where the selected provider supports it. | | `input` | `Array<{ path?: string; data?: string; mime_type?: string }>` | No | Input images by local path or inline base64 data. | ## Outputs - Success with image data: - `content[0].type = "text"` - `content[0].text` summarizes provider/model and saved image paths. - `details = { provider, model, imageCount, imagePaths, images, responseText?, revisedPrompt?, promptFeedback?, usage? }` - Provider responses with no image data return `imageCount: 0`, empty `imagePaths` / `images`, and any provider text/feedback available. ## Flow 1. The SDK injects `generate_image` as a custom tool via `getImageGenTools()`. 2. `execute(...)` resolves credentials and provider from the active model registry / session credentials. 3. Input images are resolved from `path` relative to the session cwd or from inline `data` + `mime_type`. 4. The tool validates provider-specific `aspect_ratio` support. 5. Provider dispatch: - OpenAI / OpenAI Codex: hosted Responses image-generation path with WebP output. - Antigravity: Google Antigravity SSE endpoint. - OpenRouter: OpenRouter image-capable chat completion path. - xAI: Grok image endpoint. - Gemini: Gemini `generateContent` with `responseModalities: ["IMAGE"]`. 6. Inline images from the provider response are saved to temporary files; paths and inline image metadata are returned. ## Modes / Variants - Text-to-image: provide `subject` and optional style/composition fields, no `input`. - Image edit: provide one or more `input` images plus `changes` and a subject that identifies each image role. - Text rendering: use `text`; the prompt instructs callers to request sharp, legible, correctly spelled short text. ## Side Effects - Filesystem: reads local input images and writes generated output images to temp paths. - Network: sends prompts and optional images to the selected image provider. - Session state: reads active model, session id, cwd, credentials, settings, and optional injected `fetch`. - Background work / cancellation: provider calls use the caller abort signal combined with a 3 minute timeout. ## Limits & Caps - Local input images are capped at `35 * 1024 * 1024` bytes (`MAX_IMAGE_SIZE`). - Provider timeout is `3 * 60 * 1000` ms. - OpenAI output format is WebP. - Common aspect ratios are `1:1`, `3:4`, `4:3`, `9:16`, and `16:9`; xAI also accepts `3:2` and `2:3`. - `image_size` schema accepts `1024x1024`, `1536x1024`, and `1024x1536`. ## Errors - Missing credentials: `No image API credentials found...` - OpenAI path without an active GPT model: `Missing active GPT model for OpenAI image generation`. - Antigravity credentials without `projectId`: `Missing projectId in antigravity credentials`. - Provider HTTP failures surface as provider-specific error messages with status metadata where available. - Unsupported provider/aspect-ratio combinations fail before the provider request. ## Notes - The tool is a custom tool, not a built-in `AgentTool` class, so its root docs live here even though the model-facing prompt is in `src/prompts/tools/image-gen.md`. - Multiple input images should be named in `subject` as `Image 1`, `Image 2`, etc. so the provider receives unambiguous edit instructions.