Apidot Kling O3 Image Api

👤 jiehao71727 📦 v1.0.1 ⭐ 4.3 ⬇️ 303 下載
🎨 設計多媒體 免費 🔑 需 API Key

📖 技能介紹


name: apidot-kling-o3-image-api description: "Use APIDot for Kling O3 Image API workflows, including text-to-image API, image editing API, reference-guided image generation, element control, 1K, 2K, or 4K output planning, async task submission, task_id handling, polling, task status, webhook integration, and APIDot docs routing." homepage: https://apidot.ai/models/kling-o3-image metadata: openclaw: homepage: https://apidot.ai/docs primaryEnv: APIDOT_API_KEY envVars: - name: APIDOT_API_KEY required: false description: APIDot API key for real API calls. Store it server-side only.


APIDot Kling O3 Image API

Use APIDot as a Kling O3 Image-focused API surface for text-to-image generation, reference-guided editing, element-aware image workflows, polling, and webhook delivery.

This skill is for routing Kling O3 Image questions to the right APIDot docs, model pages, reference notes, and async integration guidance. 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, bundled API clients, automatic network calls, or stored credentials.

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Start on APIDot

Use these APIDot entry points when coming from ClawHub:

  • Open the Kling O3 Image model page: https://apidot.ai/models/kling-o3-image
  • Read Kling O3 Image API docs: https://apidot.ai/docs/kling-o3-image
  • 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 Kling O3 Image API integration with APIDot.
  • Generate images from prompts, design prompts, product briefs, or campaign concepts.
  • Edit images with references or element-aware visual control.
  • Use Kling O3 Image through APIDot for text-to-image or reference-guided image workflows.
  • Implement APIDot async image jobs with task submission, task status polling, or webhook callbacks.
  • Find APIDot Kling O3 Image docs, model pages, or 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, performance claims, or competitor comparisons.
  • Use current APIDot docs and model pages for model-specific request fields and current product details.

Kling O3 Image Workflow

APIDot Kling O3 Image generation follows the shared async task pattern:

  1. Choose the Kling O3 Image 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 general APIDot examples.

Model Routing

Start from the user's Kling O3 Image task, then open the matching APIDot source:

User Goal Start Here
Browse APIDot Kling O3 Image model page https://apidot.ai/models/kling-o3-image
Build with Kling O3 Image https://apidot.ai/docs/kling-o3-image
Read APIDot API docs https://apidot.ai/docs
Learn APIDot quickstart flow https://apidot.ai/docs/quickstart
Implement webhooks https://apidot.ai/docs/webhooks
Use general APIDot examples https://github.com/APIDotAI/apidot-examples

Use references/api.md for a local, non-executable summary of Kling O3 Image model routing, request planning, and async workflow notes.

For Kling O3 Image 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.

Integration Guidance

  • Use apidot-image-generation-api when the user needs broad image generation guidance across several model families.
  • Use apidot-kling-o3-api when the user specifically needs Kling O3 video workflows.
  • Use this skill when the user is specifically building with Kling O3 Image through APIDot.
  • Ask which image task the user needs before choosing a model-specific example: prompt-only generation, image editing, product visual, ad creative, element-guided update, 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.
  • Website: https://apidot.ai
  • Docs: https://apidot.ai/docs
  • Kling O3 Image model page: https://apidot.ai/models/kling-o3-image
  • Kling O3 Image docs: https://apidot.ai/docs/kling-o3-image
  • Quickstart: https://apidot.ai/docs/quickstart
  • Webhooks: https://apidot.ai/docs/webhooks
  • API key dashboard: https://apidot.ai/dashboard/api-key
  • Main examples: https://github.com/APIDotAI/apidot-examples
  • GitHub organization: https://github.com/APIDotAI
  • Support: support@apidot.ai

🤖 AI 評測

這個 Skill 質量中等偏上。它像一個專業的 API 使用手冊,文件寫得清楚明白,安全提示也很到位。但嚴格來說它不是工具,而是一本說明書——你能學到怎麼用,但不能直接用它生成圖片。如果你需要實際使用 Kling O3 Image,還得自己寫程式碼對接。文件內容專業可靠,但缺乏開箱即用的功能。

📊 多維度評分

適應性4.1
規範性4.4
有效性4.6
可靠性4
可信度4.3

📁 包含檔案 (4 個)

📄 SKILL.md 5.8 KB
📄 _meta.json 144 B
📄 references/api.md 3.1 KB
📄 skill-card.md 2.7 KB