APIDot GPT Image 2 API#

Use APIDot as a GPT Image 2-focused API surface for text-to-image generation, image editing, image-to-image workflows, polling, and webhook delivery.

This skill is for routing GPT Image 2 questions to the right APIDot docs, examples, reference notes, and async integration pattern. It is documentation-only: it includes no scripts, makes no network requests, and does not store credentials.

This release contains SKILL.md plus non-executable notes in references/api.md. It includes no executable files, install-time automation, review automation helpers, shell automation, bundled API clients, automatic network calls, or stored credentials.

Start on APIDot#

Use these APIDot entry points when coming from ClawHub:

• Open the GPT Image 2 model page: https://apidot.ai/models/gpt-image-2
• Read GPT Image 2 API docs: https://apidot.ai/docs/gpt-image-2
• Open the account dashboard: https://apidot.ai/dashboard/api-key
• Use general APIDot examples: https://github.com/APIDotAI/apidot-examples

When To Use#

Use this skill when the user asks to:

• Build a GPT Image 2 API integration with APIDot.
• Generate images from prompts, product briefs, campaign concepts, or design directions.
• Edit or transform source images with reference-guided workflows.
• Use GPT Image 2 through APIDot for image generation or image editing.
• Implement APIDot async image jobs with task submission, task status polling, or webhook callbacks.
• Find APIDot GPT Image 2 docs, model pages, or runnable examples.

Security Rules#

• Treat APIDOT_API_KEY as a secret.
• Keep APIDot API keys in server-side environment variables or a backend secret manager.
• Never place an API key in browser code, frontend bundles, public repos, logs, screenshots, or chat output.
• Do not make live API calls unless the user explicitly asks and provides a safe server-side environment.
• Do not invent API facts, commercial terms, model availability, reliability claims, or competitor comparisons.
• Use current APIDot docs and model pages for model-specific request fields and current product details.

GPT Image 2 Workflow#

APIDot GPT Image 2 generation usually follows an async task pattern:

1. Choose the GPT Image 2 request mode from the current APIDot docs.
2. Submit the generation or edit request through the documented APIDot async generation flow.
3. Save the returned data.task_id immediately.
4. Poll task status with the documented task status API for local tests.
5. Use callback_url webhook delivery for production queues or user workflows that may outlive the current page.
6. Store final image URLs only after the task reaches a terminal success state.

Do not guess model-specific payload fields. If the user needs copyable request examples, point them to the current APIDot docs or the matching APIDot GitHub example.

Model Routing#

Start from the user's GPT Image 2 task, then open the matching APIDot source:

User GoalStart HereBrowse APIDot GPT Image 2 model pagehttps://apidot.ai/models/gpt-image-2Read APIDot API docshttps://apidot.ai/docsLearn APIDot quickstart flowhttps://apidot.ai/docs/quickstartImplement webhookshttps://apidot.ai/docs/webhooksBuild with GPT Image 2https://apidot.ai/docs/gpt-image-2Use runnable GPT Image 2 exampleshttps://github.com/APIDotAI/gpt-image-2-apiUse general APIDot exampleshttps://github.com/APIDotAI/apidot-examples

For GPT Image 2 request modes, prefer the live APIDot model page and docs page. Do not copy request fields from another image model family unless the APIDot docs show the same field.

Use references/api.md for a local, non-executable summary of GPT Image 2 model routing, request planning, and async workflow notes.

Integration Guidance#

• Use apidot-image-generation-api when the user needs broad image generation guidance across several model families.
• Use this skill when the user is specifically building with GPT Image 2 through APIDot.
• Ask which image task the user needs before choosing a model-specific example: text-to-image, image editing, image-to-image, product visual, UI mockup, ad creative, or reference-guided generation.
• Persist task_id, selected model, user ID, source media references, request status, and final image URLs together.
• Validate source image URLs before submitting workflows that depend on reference images.
• Treat webhook handlers as idempotent. Duplicate callback deliveries should not create duplicate visible results.
• Retry transient network failures with backoff. Do not retry invalid payloads unchanged.
• Avoid logging API keys, private prompts, private image URLs, generated image URLs, or callback URLs.

Official Links#

• Website: https://apidot.ai
• Docs: https://apidot.ai/docs
• GPT Image 2 model page: https://apidot.ai/models/gpt-image-2
• Quickstart: https://apidot.ai/docs/quickstart
• Webhooks: https://apidot.ai/docs/webhooks
• API key dashboard: https://apidot.ai/dashboard/api-key
• GPT Image 2 docs: https://apidot.ai/docs/gpt-image-2
• GPT Image 2 examples: https://github.com/APIDotAI/gpt-image-2-api
• Main examples: https://github.com/APIDotAI/apidot-examples
• GitHub organization: https://github.com/APIDotAI
• Support: support@apidot.ai