APIDot Gemini 3 API#
Use APIDot as a Gemini 3-focused API surface for native Gemini chat, generateContent workflows, streaming responses, coding assistants, production support bots, and Gemini-compatible request planning.
This skill is for routing Gemini 3 questions to the right APIDot docs, model pages, reference notes, and 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, shell automation, bundled API clients, automatic network calls, or stored credentials.
Start on APIDot#
Use these APIDot entry points when coming from ClawHub:
When To Use#
Use this skill when the user asks to:
- Build a Gemini 3 API integration with APIDot.
- Choose between Gemini 3 Flash Preview and Gemini 3 Pro Preview through APIDot.
- Use native Gemini request semantics through APIDot.
- Implement chat, coding assistant, support assistant, or tool-planning workflows.
- Plan non-streaming or streaming Gemini responses.
- Find APIDot Gemini 3 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.
Gemini 3 Workflow#
APIDot Gemini 3 integrations usually start by choosing the correct native Gemini route and model:
- Confirm whether the application needs a normal JSON response or a streaming response.
- Choose the Gemini 3 model from the current APIDot docs.
- Keep conversation contents, system instructions, generation settings, safety settings, tools, and tool configuration within the documented native Gemini schema.
- Read non-streaming responses from the APIDot wrapper described in the current docs.
- Treat streaming responses as server-sent events if the selected route uses streaming.
- Keep user prompts, tool inputs, private context, and API keys out of public logs.
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 Gemini 3 task, then open the matching APIDot source:
User GoalStart HereBrowse APIDot Gemini 3 model pagehttps://apidot.ai/models/gemini-3Build with Gemini 3https://apidot.ai/docs/gemini-3Read APIDot API docshttps://apidot.ai/docsLearn APIDot quickstart flowhttps://apidot.ai/docs/quickstartReview errors and retrieshttps://apidot.ai/docs/errorsUse general APIDot exampleshttps://github.com/APIDotAI/apidot-examples
For Gemini 3 request modes, prefer the live APIDot model page and docs page. Do not copy request fields from another chat model family unless the APIDot docs show the same field.
Use references/api.md for a local, non-executable summary of Gemini 3 model routing, request planning, and integration notes.
Integration Guidance#
- Use
apidot-ai-api when the user needs a broad APIDot overview across image, video, chat, music, and 3D.
- Use this skill when the user is specifically building with Gemini 3 through APIDot.
- Ask whether the application needs lower-latency interactive chat, deeper reasoning, coding assistance, tool planning, or streaming before choosing request shape.
- Prefer the current APIDot docs for supported model IDs, request fields, streaming behavior, and response wrappers.
- Validate conversation roles and content parts before sending requests from a backend.
- Retry transient network failures with backoff. Do not retry invalid payloads unchanged.
- Avoid logging API keys, private prompts, customer data, tool arguments, private context, or generated responses that may contain sensitive data.
Official Links#