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Documentation Index

Fetch the complete documentation index at: https://docs.maxicore.ai/llms.txt

Use this file to discover all available pages before exploring further.

Text generation is a Pro plan feature that lets your AI agent produce content on demand without leaving the MCP session. You call maxi/generate-text-ai with a prompt, provider, and model — the plugin routes the request to your chosen provider, waits for the response, and returns the generated text immediately. You can also configure default providers per capability so each call uses the right model without specifying it every time.
Text generation requires a Pro license and an API key for your chosen provider. Set your key first via maxi/update-ai-settings — see Managing AI provider credentials for instructions.

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Supported providers

Use any GPT model available on your OpenAI account. Pass "provider": "openai" and a model slug such as "gpt-4o-mini" or "gpt-4o". OpenAI also supports vision tasks through the same provider.
Use any Claude model. Pass "provider": "anthropic" and a model slug such as "claude-opus-4-5" or "claude-sonnet-4-20250514". Anthropic supports text and vision.
OpenRouter is a multi-model aggregator — one API key gives your agent access to dozens of upstream models from OpenAI, Anthropic, Google, Meta, and others. Pass "provider": "openrouter" and use vendor-prefixed model slugs.Example model slugs:
  • openai/gpt-4o-mini
  • anthropic/claude-sonnet-4-20250514
  • google/gemini-pro-vision
OpenRouter is explicit-only in Maxi AI Core — it is never used as an automatic fallback. Always specify "provider": "openrouter" directly. This prevents cascade loops where a failed OpenAI call would route back through OpenRouter to OpenAI upstream.
Route requests to a self-hosted model running on your own infrastructure. Configure the endpoint via maxi/update-ai-settings using the local_endpoint field.

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Generate text synchronously

Call maxi/generate-text-ai to produce text immediately. The ability blocks until the provider responds and returns the content inline. 
{
  "prompt": "Write a product description for a standing desk",
  "provider": "openai",
  "model": "gpt-4o-mini"
}
The response includes the generated text content in the data field. Because the call is synchronous, you receive the result immediately without polling.

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Configure default providers

You can set a default provider for each capability type so you do not need to include provider in every call. Use maxi/update-ai-settings and send only the fields you want to change.
Setting fieldControls
provider_textDefault provider for maxi/generate-text-ai and maxi/generate-text-ai-batch
provider_visionDefault provider for vision tasks
{
  "provider_text": "anthropic",
  "openai_org_id": "org-..."
}
Send only the fields you want to change. The ability merges your input with existing settings — unspecified fields are left untouched.

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View current AI settings

Call maxi/get-ai-settings to see your current non-credential configuration: default providers per capability, retry tuning, batch/worker settings, HTTP timeout, openai_org_id, and local_endpoint. API keys are never included in this response — use maxi/list-provider-keys to check credential state. 
{
  "ability": "maxi/get-ai-settings"
}
A successful response includes fields such as: 
{
  "success": true,
  "data": {
    "provider_text": "anthropic",
    "provider_vision": "openai",
    "provider_image": "openai",
    "provider_edit_image": "openai",
    "batch_max_attempts": 3,
    "retry_delay_seconds": 5
  }
}

Batch text generation

Submit multiple prompts as a single background job. Useful for generating content at scale without waiting for each response individually.

Image generation and editing

Generate and edit images via OpenAI, Replicate, and BFL — with results automatically sideloaded into the WordPress media library.

Managing credentials

Set, rotate, and audit your provider API keys. Keys are encrypted at rest and validated with a live test call before replacing existing ones.

AI settings reference

Configure which provider handles each capability type — text, image, image editing, and vision — independently.