> ## Documentation Index > Fetch the complete documentation index at: https://docs.orq.ai/llms.txt > Use this file to discover all available pages before exploring further. # Create image edit > Edit an Image **Related guide**: Multimodal guide. See the [Multimodal guide](/ai-gateway/features/multimodal) for a walkthrough with examples. ## OpenAPI ````yaml post /v2/router/images/edits openapi: 3.1.0 info: title: orq.ai API version: '2.0' description: orq.ai API documentation servers: - url: https://my.orq.ai security: - ApiKey: [] tags: - name: Chunking description: Split text into smaller chunks for retrieval and generation workflows. - name: File Systems description: >- Create and manage persistent file systems that agents and MCP clients read from and write to. - name: Knowledge Bases description: Create and manage knowledge bases used by agents and retrieval workflows. - name: Memory Stores description: Create and manage memory stores, memories, and memory documents. - name: Evals description: Run an evaluator against a conversation and its result - name: Logs description: >- OpenTelemetry log query API. Search, filter, aggregate, and facet log records ingested via OTLP. - name: Reporting description: >- GenAI reporting API over canonical analytics rollups. Accepts a metric name, time range, grain, group-by, and filters; returns a typed time series and optional totals. - name: Traces description: >- Query and inspect ingested trace data: search trace summaries, aggregate metrics, and read individual traces and their spans. - description: List models available through the AI Router. name: Models - name: Policies - name: Alerts description: >- Alerts evaluate a Reporting API metric on a fixed interval and fire notifications through notifiers when the value breaches a threshold. Each breach opens a trigger that tracks the incident until the value recovers. - name: Annotation Queues description: Annotation queues collect spans for human review. - name: API keys description: >- API keys authenticate programmatic access to the workspace. They expose opaque tokens, per-domain access grants, and budget and rate-limit constraints. - name: Audit Logs description: Audit logs record workspace entity changes and access-relevant events. - name: Budgets description: >- Budgets govern spend, token usage, and request rate across six scopes: workspace, project, identity, API key, provider, and model. Every applicable budget is enforced, and the most restrictive limit applies per dimension. - name: Files description: File upload and retrieval operations. - name: Guardrail Rules description: >- Guardrail Rules conditionally enforce evaluators and plugins for AI Gateway traffic. Rules may be scoped to a project or the whole workspace. - name: Hub description: Hub items are reusable templates available to a workspace. - name: Identities description: >- Identities represent end users from your system for usage and engagement tracking. - name: Management keys description: >- Management keys are workspace-scoped credentials that authenticate programmatic access to workspace administration surfaces (API keys, budgets). Unlike project-scoped API keys, a management key always operates at the workspace level. - name: MCP Gateway description: >- Register upstream MCP servers, discover and sync their tools, and assemble gateways that expose a curated tool surface to MCP clients. - name: Model Catalog description: >- Browse the orq.ai model catalog: every model orq offers, across every provider, with pricing, capabilities and benchmark data. List endpoints only return models that are not deprecated. This API is public, requires no authentication, and is rate limited to 120 requests per minute per IP. Responses carry a 5-minute cache-control max-age. - name: Notifiers description: Notifier destinations used to send delivery and workflow notifications. - name: Projects description: Projects organize resources within a workspace - name: Routing Rules description: >- Routing Rules conditionally select models and enforce request plugins for AI Gateway traffic. Rules are evaluated by ascending priority and may be scoped to a project or the whole workspace. - name: Threads description: Threads group related trace invocations and their aggregate usage - name: Skills description: >- Skills are modular instructions you can use to codify processes and conventions - name: Smart Routers description: >- Create and manage workspace Smart Routers. A Smart Router selects a model from an eligible pool for each request according to a quality, balanced, or cost profile. - name: Webhooks description: >- Create and manage webhooks that deliver workspace events to external HTTPS endpoints. - name: Workspaces description: >- A workspace is the tenant. Create is called from a user session during onboarding; Get, List, and Update are the public management surface. - name: Workspace Security description: >- Workspace-level domain verification and IP allowlist controls. These operations are restricted to workspace administrators. - name: Workspace Settings description: >- Workspace-level settings managed with a workspace credential. A workspace is the tenant, so these settings are a singleton — there is nothing to create or delete, only read and update. - name: Responses - description: Run agents on a cron cadence. Minimum firing interval is 1 hour. name: Agent Schedules - name: Embeddings - name: Telemetry description: >- Unified query envelope for traces, metrics, and logs. One request shape, one filter dialect, and one response shape per source, validated by a per-source registry. - description: Beta. Run typed classification questions against a classify model. name: Classify - description: Search Gateway with managed credits or BYOK. name: Web Search externalDocs: url: https://docs.orq.ai description: orq.ai Documentation paths: /v2/router/images/edits: post: tags: - Images summary: Create image edit description: Edit an Image operationId: createImageEdit requestBody: required: true content: multipart/form-data: schema: type: object properties: model: type: string description: >- The model to use for image edit. [Check models](https://docs.orq.ai/ai-gateway/supported-models#image-models) image: type: string format: binary description: >- The image(s) to edit. Must be a supported image file or an array of images. Each image should be a png, webp, or jpg file less than 50MB. You can provide up to 16 images. prompt: type: string description: A text description of the desired image(s). 'n': type: - number - 'null' minimum: 1 maximum: 10 default: 1 description: The number of images to generate. Must be between 1 and 10. size: type: - string - 'null' description: The size of the generated images quality: type: - string - 'null' enum: - auto - high - medium - low - standard - null description: >- The quality of the image that will be generated. Auto will automatically select the best quality for the given model. response_format: type: string enum: - url - b64_json description: >- The format in which the generated images are returned. Some of the models only return the image in base64 format. user: type: string description: >- A unique identifier representing your end-user, which can help to monitor and detect abuse. name: description: >- The name to display on the trace. If not specified, the default system name will be used. type: string fallbacks: type: array items: type: object properties: model: type: string description: Fallback model identifier required: - model description: Array of fallback models to use if primary model fails retry: type: object properties: count: type: number minimum: 1 maximum: 5 default: 3 description: Number of retry attempts (1-5) example: 3 on_codes: type: array items: type: number minimum: 100 maximum: 599 minItems: 1 description: HTTP status codes that trigger retry logic example: - 429 - 500 - 502 - 503 - 504 description: Retry configuration for the request cache: type: object properties: ttl: type: number minimum: 1 maximum: 259200 default: 1800 description: >- Time to live for cached responses in seconds. Maximum 259200 seconds (3 days). example: 3600 type: type: string enum: - exact_match required: - type description: Cache configuration for the request. load_balancer: oneOf: - type: object properties: type: type: string enum: - weight_based models: type: array items: type: object properties: model: type: string description: Model identifier for load balancing example: openai/gpt-5.6-sol weight: type: number minimum: 0.001 maximum: 1 default: 0.5 description: >- Weight assigned to this model for load balancing example: 0.7 required: - model required: - type - models description: Load balancer configuration for the request. timeout: type: object properties: call_timeout: type: number minimum: 1 description: Timeout value in milliseconds example: 30000 required: - call_timeout description: >- Timeout configuration to apply to the request. If the request exceeds the timeout, it will be retried or fallback to the next model if configured. orq: type: object properties: name: description: >- The name to display on the trace. If not specified, the default system name will be used. type: string retry: type: object properties: count: type: number minimum: 1 maximum: 5 default: 3 description: Number of retry attempts (1-5) example: 3 on_codes: type: array items: type: number minimum: 100 maximum: 599 minItems: 1 description: HTTP status codes that trigger retry logic example: - 429 - 500 - 502 - 503 - 504 description: Retry configuration for the request fallbacks: type: array items: type: object properties: model: type: string description: Fallback model identifier example: openai/gpt-5.4-mini required: - model description: Array of fallback models to use if primary model fails prompt: type: object properties: id: type: string description: Unique identifier of the prompt to use example: prompt_01ARZ3NDEKTSV4RRFFQ69G5FAV version: type: string enum: - latest description: >- Version of the prompt to use (currently only "latest" supported) example: latest required: - id - version description: Prompt configuration for the request identity: $ref: '#/components/schemas/PublicIdentity' contact: $ref: '#/components/schemas/PublicContact' cache: type: object properties: ttl: type: number minimum: 1 maximum: 259200 default: 1800 description: >- Time to live for cached responses in seconds. Maximum 259200 seconds (3 days). example: 3600 type: type: string enum: - exact_match required: - type description: Cache configuration for the request. load_balancer: oneOf: - type: object properties: type: type: string enum: - weight_based models: type: array items: type: object properties: model: type: string description: Model identifier for load balancing example: openai/gpt-5.6-sol weight: type: number minimum: 0.001 maximum: 1 default: 0.5 description: >- Weight assigned to this model for load balancing example: 0.7 required: - model required: - type - models description: Load balancer configuration for the request. example: type: weight_based models: - model: openai/gpt-4o weight: 0.7 - model: anthropic/claude-3-5-sonnet weight: 0.3 timeout: type: object properties: call_timeout: type: number minimum: 1 description: Timeout value in milliseconds example: 30000 required: - call_timeout description: >- Timeout configuration to apply to the request. If the request exceeds the timeout, it will be retried or fallback to the next model if configured. required: - model - prompt responses: '200': description: Represents an image edit response from the API. content: application/json: schema: type: object properties: created: type: number description: >- The Unix timestamp (in seconds) of when the image was created. output_format: type: string description: The output format of the image generation size: type: string description: The size of the image generated quality: type: string description: The quality of the image generated data: type: array items: type: object properties: b64_json: type: string description: >- The base64-encoded JSON of the generated image, if response_format is b64_json url: type: string description: >- The URL of the generated image, if response_format is url (default) description: The list of generated images. usage: type: object properties: total_tokens: type: number description: >- The total number of tokens (images and text) used for the image generation. input_tokens: type: number description: >- The number of tokens (images and text) in the input prompt. output_tokens: type: number description: The number of output tokens generated by the model. input_tokens_details: type: object properties: text_tokens: type: number description: The number of text tokens in the input prompt. image_tokens: type: number description: The number of image tokens in the input prompt. required: - text_tokens - image_tokens description: >- The input tokens detailed information for the image generation. required: - total_tokens - input_tokens - output_tokens - input_tokens_details description: The token usage information for the image generation. required: - created - data components: schemas: PublicIdentity: type: object properties: id: type: string description: Unique identifier for the contact example: contact_01ARZ3NDEKTSV4RRFFQ69G5FAV display_name: type: string description: Display name of the contact example: Jane Doe email: type: string format: email description: Email address of the contact example: jane.doe@example.com metadata: type: array items: type: object additionalProperties: {} description: >- A hash of key/value pairs containing any other data about the contact example: - department: Engineering role: Senior Developer logo_url: type: string description: URL to the contact's avatar or logo example: https://example.com/avatars/jane-doe.jpg tags: type: array items: type: string description: A list of tags associated with the contact example: - hr - engineering required: - id description: >- Information about the identity making the request. If the identity does not exist, it will be created automatically. PublicContact: type: object properties: id: type: string description: Unique identifier for the contact example: contact_01ARZ3NDEKTSV4RRFFQ69G5FAV display_name: type: string description: Display name of the contact example: Jane Doe email: type: string format: email description: Email address of the contact example: jane.doe@example.com metadata: type: array items: type: object additionalProperties: {} description: >- A hash of key/value pairs containing any other data about the contact example: - department: Engineering role: Senior Developer logo_url: type: string description: URL to the contact's avatar or logo example: https://example.com/avatars/jane-doe.jpg tags: type: array items: type: string description: A list of tags associated with the contact example: - hr - engineering required: - id description: >- @deprecated Use identity instead. Information about the contact making the request. deprecated: true securitySchemes: ApiKey: type: http scheme: bearer bearerFormat: JWT ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.