Coding

Apidot Chat Api

Try it

Use APIDot for chat API workflows, including OpenAI-compatible chat completions, coding assistants, reasoning models, multimodal assistant routing, streaming...

What it does

Use APIDot for chat API workflows, including OpenAI-compatible chat completions, coding assistants, reasoning models, multimodal assistant routing, streaming planning, server-side API key safety, and APIDot chat model docs routing.

The skill document

APIDot Chat API

Use APIDot as a chat-focused API surface for OpenAI-compatible chat completions, coding assistants, reasoning workflows, multimodal assistant routing, and server-side API key safety.

This skill is for routing APIDot chat questions to the right model pages, chat docs, model-specific skill, and integration guidance. It is documentation-only: it includes no scripts, makes no network requests, and does not store credentials.

This category skill contains only SKILL.md. It includes no executable files, install-time automation, 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 chat API integration with APIDot.
  • Use APIDot for coding assistants, reasoning agents, support bots, internal copilots, or multimodal chat workflows.
  • Choose between APIDot chat and coding model families.
  • Route to Claude, Gemini, DeepSeek, or other APIDot chat model pages after checking live availability.
  • Plan streaming, request storage, rate-limit handling, or server-side API key handling for chat workloads.
  • Find APIDot chat 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, benchmark claims, or competitor comparisons.
  • Use current APIDot docs and model pages for model-specific request fields and current product details.

Chat Routing

Start from the user's chat task, then open the matching APIDot source:

User GoalStart Here
Browse APIDot chat model lineuphttps://apidot.ai/models/chat
Read APIDot API docshttps://apidot.ai/docs
Learn APIDot quickstart flowhttps://apidot.ai/docs/quickstart
Use Claude 4.6 through APIDothttps://apidot.ai/models/claude-4-6
Use Claude 4.5 through APIDothttps://apidot.ai/models/claude-4-5
Use Gemini 3 through APIDothttps://apidot.ai/models/gemini-3
Use general APIDot exampleshttps://github.com/APIDotAI/apidot-examples

Use the live APIDot model catalog before selecting a model-specific route. Do not route to a model page that currently returns 404.

Integration Guidance

  • Use apidot-ai-api when the user needs APIDot across image, video, chat, music, and 3D.
  • Use apidot-claude-4-6-api, apidot-claude-4-5-api, or apidot-gemini-3-api when the user names those exact models.
  • Use this skill when the user is choosing or building chat workflows across APIDot chat models.
  • Ask whether the user needs coding, long-context reasoning, support automation, structured output, streaming, or multimodal behavior before choosing a model.
  • Keep API keys, system prompts, private user messages, transcripts, and logs server-side or in approved secure storage.
  • Avoid logging private prompts, model outputs with sensitive content, API keys, or user identifiers.
  • Retry transient network failures with backoff. Do not retry invalid payloads unchanged.

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