API Reference

AI Puffer exposes REST endpoints under the WordPress REST API. Use the API when an external application needs to generate text, generate images, create embeddings, send a message to a chatbot, read chat logs, or add content to a vector store. Base URL:

https://your-site.com/wp-json/aipkit/v1

Authentication

Most endpoints require the AI Puffer REST API key.

Open WordPress Admin > AI Puffer > Settings.
Open Developers.
Enter a value in REST API Key.
Wait for the setting to save.

Developer Settings with the REST API Key field

Leaving the field blank disables REST API access. Treat the key like a password. Anyone with the key can call the enabled REST endpoints from outside WordPress.

Send the key in a header

Use an Authorization header when possible.

curl https://your-site.com/wp-json/aipkit/v1/logs \
  -H "Authorization: Bearer YOUR_API_KEY"

Send the key as a request parameter

You can also send the key as aipkit_api_key.

curl https://your-site.com/wp-json/aipkit/v1/logs?aipkit_api_key=YOUR_API_KEY

Endpoints

Endpoint	Method	Use
`/generate`	`POST`	Generate text with a configured AI provider.
`/images/generate`	`POST`	Generate images.
`/embeddings`	`POST`	Create embeddings from text.
`/chat/{bot_id}/message`	`POST`	Send a message to a chatbot.
`/logs`	`GET`	Read saved chat logs.
`/vector-stores/upsert`	`POST`	Embed text and upsert it into Pinecone, Qdrant, or Chroma.
`/chatbots/{bot_id}/embed-config`	`GET`	Read the embed config and HTML for an external chatbot widget.

Text generation

Generate a text response with one of the configured text providers.

POST /wp-json/aipkit/v1/generate

Parameters

Parameter	Type	Required	Notes
`provider`	string	Yes	`openai`, `azure`, `google`, `openrouter`, `claude` for Anthropic, `deepseek`, `xai`, or `ollama`.
`model`	string	Yes	Model ID or Azure deployment ID.
`messages`	array	Yes	Chat-style messages with `role` and `content`. Roles: `system`, `user`, `assistant`.
`system_instruction`	string	No	Extra instruction text. Supports `[date]` and `[username]`.
`ai_params`	object	No	Overrides for AI parameters such as `temperature` or `max_completion_tokens`.
`stream`	boolean	No	This endpoint does not support streaming. Leave it as `false`.

Request

curl -X POST https://your-site.com/wp-json/aipkit/v1/generate \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "provider": "openai",
    "model": "gpt-4o-mini",
    "messages": [
      {
        "role": "user",
        "content": "Write a two sentence product description for a handmade ceramic mug."
      }
    ],
    "ai_params": {
      "temperature": 0.7
    }
  }'

Response

{
  "content": "A handmade ceramic mug with a simple shape and a smooth glazed finish. Suitable for coffee, tea, or daily desk use.",
  "usage": {
    "input_tokens": 18,
    "output_tokens": 25,
    "total_tokens": 43
  },
  "provider": "OpenAI",
  "model": "gpt-4o-mini"
}

Image generation

Generate images from a text prompt.

POST /wp-json/aipkit/v1/images/generate

Parameters

Parameter	Type	Required	Notes
`prompt`	string	Yes	Text prompt for the image.
`provider`	string	No	`openai`, `azure`, or `google`. Default: `openai`.
`model`	string	No	Image model ID. Uses plugin settings if omitted.
`n`	integer	No	Number of images. Minimum `1`, maximum `10`. Default: `1`.
`size`	string	No	Supported values include `1024x1024`, `1792x1024`, `1024x1792`, `1536x1024`, `1024x1536`, `1024x768`, and `768x1024`.
`quality`	string	No	`standard` or `hd`, when supported by the selected model.
`style`	string	No	`vivid` or `natural`, when supported by the selected model.
`response_format`	string	No	`url` or `b64_json`. Default: `url`.

Request

curl -X POST https://your-site.com/wp-json/aipkit/v1/images/generate \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "provider": "openai",
    "model": "gpt-image-1",
    "prompt": "A clean product photo of a handmade ceramic mug on a white table",
    "n": 1,
    "size": "1024x1024",
    "response_format": "url"
  }'

Response

{
  "images": [
    {
      "url": "https://example.com/generated-image.png",
      "b64_json": null,
      "revised_prompt": null
    }
  ],
  "usage": null,
  "message": "1 image generated successfully."
}

Embeddings

Create embeddings from one string or an array of strings.

POST /wp-json/aipkit/v1/embeddings

Parameters

Parameter	Type	Required	Notes
`provider`	string	Yes	`openai`, `google`, `azure`, or `openrouter`.
`model`	string	Yes	Embedding model ID or Azure deployment ID.
`input`	string or array	Yes	Text to embed.
`dimensions`	integer	No	OpenAI, OpenRouter, or Azure output dimensions when supported.
`encoding_format`	string	No	OpenAI or OpenRouter format: `float` or `base64`. Default: `float`.
`task_type`	string	No	Google embedding task type.
`output_dimensionality`	integer	No	Google embedding output dimension size.
`user`	string	No	End-user identifier for OpenAI or Azure monitoring.

Google task_type values:

SEMANTIC_SIMILARITY
CLASSIFICATION
CLUSTERING
RETRIEVAL_DOCUMENT
RETRIEVAL_QUERY
QUESTION_ANSWERING
FACT_VERIFICATION
CODE_RETRIEVAL_QUERY

Request

curl -X POST https://your-site.com/wp-json/aipkit/v1/embeddings \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "provider": "openai",
    "model": "text-embedding-3-small",
    "input": "AI Puffer is a WordPress plugin."
  }'

Response

{
  "embeddings": [
    [-0.0069, -0.0053, 0.0124]
  ],
  "usage": {
    "input_tokens": 8,
    "total_tokens": 8
  },
  "provider": "OpenAI",
  "model": "text-embedding-3-small"
}

Chat message

Send a message to one chatbot. The chatbot must exist in WordPress. The request uses the chatbot settings saved in AI Puffer.

POST /wp-json/aipkit/v1/chat/{bot_id}/message

Parameters

Parameter	Type	Required	Notes
`bot_id`	integer	Yes	Chatbot ID in the URL.
`messages`	array	Yes	Conversation history. Roles: `user` and `assistant`. The last message must be from `user`.

Request

curl -X POST https://your-site.com/wp-json/aipkit/v1/chat/123/message \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": "What can you help with?"
      }
    ]
  }'

Response

{
  "reply": "I can answer questions using the chatbot settings configured in WordPress.",
  "usage": {
    "input_tokens": 15,
    "output_tokens": 13,
    "total_tokens": 28
  },
  "bot_id": 123,
  "model": "gpt-4o-mini"
}

Chat logs

Read saved chatbot conversation logs.

GET /wp-json/aipkit/v1/logs

Parameters

Parameter	Type	Required	Notes
`page`	integer	No	Page number. Default: `1`.
`per_page`	integer	No	Logs per page. Default: `20`, maximum: `100`.
`bot_id`	integer	No	Filter by chatbot ID.
`user_search`	string	No	Search display name, username, or email.
`message_search`	string	No	Search conversation content.

The response includes pagination headers:

Header	Meaning
`X-WP-Total`	Total matching logs.
`X-WP-TotalPages`	Total pages.

Request

curl "https://your-site.com/wp-json/aipkit/v1/logs?per_page=10&bot_id=123" \
  -H "Authorization: Bearer YOUR_API_KEY"

Response

[
  {
    "id": "1",
    "bot_id": "123",
    "user_id": "1",
    "session_id": null,
    "conversation_uuid": "e8a3c-b3a1-4f9e",
    "messages": "[...]",
    "message_count": "4",
    "last_message_ts": "1724081015",
    "created_at": "2026-04-25 10:00:00",
    "bot_name": "Support Bot",
    "user_display_name": "admin"
  }
]

Vector store upsert

Embed text and add the vectors to Pinecone, Qdrant, or Chroma. The target index or collection must already exist. AI Puffer creates embeddings, then sends vectors to the selected vector database.

POST /wp-json/aipkit/v1/vector-stores/upsert

Parameters

Parameter	Type	Required	Notes
`provider`	string	Yes	`pinecone`, `qdrant`, or `chroma`.
`target_id`	string	Yes	Pinecone index name, Qdrant collection name, or Chroma collection name.
`vectors`	array	Yes	Objects with `content`. Optional `id` and `metadata`.
`embedding_provider`	string	Yes	`openai`, `google`, `azure`, or `openrouter`.
`embedding_model`	string	Yes	Embedding model ID or Azure deployment ID.
`namespace`	string	No	Pinecone namespace. Ignored by Qdrant and Chroma.

Each vectors item must include:

Field	Type	Required	Notes
`content`	string	Yes	Text to embed and store.
`id`	string	No	Vector ID. AI Puffer generates one if omitted.
`metadata`	object	No	Extra metadata. AI Puffer also stores the original content in metadata.

Request

curl -X POST https://your-site.com/wp-json/aipkit/v1/vector-stores/upsert \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "provider": "pinecone",
    "target_id": "site-knowledge",
    "embedding_provider": "openai",
    "embedding_model": "text-embedding-3-small",
    "namespace": "docs",
    "vectors": [
      {
        "id": "intro",
        "content": "AI Puffer adds AI tools to WordPress.",
        "metadata": {
          "source": "manual"
        }
      }
    ]
  }'

Response

{
  "upserted_count": 1,
  "status": "success"
}

Chatbot embed config

Read the config and rendered HTML for an externally embedded chatbot. This endpoint is not authenticated with the REST API key. Access is controlled by the chatbot’s embed settings and allowed domains.

GET /wp-json/aipkit/v1/chatbots/{bot_id}/embed-config

Parameters

Parameter	Type	Required	Notes
`bot_id`	integer	Yes	Chatbot ID in the URL.

Response

{
  "config": {
    "botId": 123,
    "assetUrls": {
      "css": "https://your-site.com/wp-content/plugins/.../public-main.bundle.css",
      "mainJs": "https://your-site.com/wp-content/plugins/.../public-main.bundle.js"
    }
  },
  "html": "<div class=\"aipkit_chatbot\">...</div>"
}

If the request origin is not allowed, the endpoint returns 403.

Error format

Errors use the standard WordPress REST error format.

{
  "code": "rest_aipkit_invalid_api_key",
  "message": "Invalid or missing API Key.",
  "data": {
    "status": 401
  }
}

Overview

Getting Started

Setup

Modules

Utilities

Developers

Authentication

Send the key in a header

Send the key as a request parameter

Endpoints

Text generation

Parameters

Request

Response

Image generation

Parameters

Request

Response

Embeddings

Parameters

Request

Response

Chat message

Parameters

Request

Response

Chat logs

Parameters

Request

Response

Vector store upsert

Parameters

Request

Response

Chatbot embed config

Parameters

Response

Error format

​Authentication

​Send the key in a header

​Send the key as a request parameter

​Endpoints

​Text generation

​Parameters

​Request

​Response

​Image generation

​Parameters

​Request

​Response

​Embeddings

​Parameters

​Request

​Response

​Chat message

​Parameters

​Request

​Response

​Chat logs

​Parameters

​Request

​Response

​Vector store upsert

​Parameters

​Request

​Response

​Chatbot embed config

​Parameters

​Response

​Error format

Authentication

Send the key in a header

Send the key as a request parameter

Endpoints

Text generation

Parameters

Request

Response

Image generation

Parameters

Request

Response

Embeddings

Parameters

Request

Response

Chat message

Parameters

Request

Response

Chat logs

Parameters

Request

Response

Vector store upsert

Parameters

Request

Response

Chatbot embed config

Parameters

Response

Error format