OpenAI Automation

Automate your OpenAI API workflows -- generate text with the Responses API (including multimodal image+text inputs and structured JSON outputs), create embeddings for search and clustering, generate images with DALL-E and GPT Image models, and list available models.

Toolkit docs: composio.dev/toolkits/openai

Setup

• Add the Composio MCP server to your client: https://rube.app/mcp

• Connect your OpenAI account when prompted (API key authentication)

• Start using the workflows below

Core Workflows

1. Generate a Response (Text, Multimodal, Structured)

Use OPENAI_CREATE_RESPONSE for one-shot model responses including text, image analysis, OCR, and structured JSON outputs.

Tool: OPENAI_CREATE_RESPONSE Inputs:

• model: string (required) -- e.g., "gpt-5", "gpt-4o", "o3-mini"
• input: string | array (required) Simple: "Explain quantum computing" Multimodal: [ { role: "user", content: [ { type: "input_text", text: "What is in this image?" }, { type: "input_image", image_url: { url: "https://..." } } ]} ]
• temperature: number (0-2, optional -- not supported with reasoning models)
• max_output_tokens: integer (optional)
• reasoning: { effort: "none" | "minimal" | "low" | "medium" | "high" }
• text: object (structured output config)
  • format: { type: "json_schema", name: "...", schema: {...}, strict: true }
• tools: array (function, code_interpreter, file_search, web_search)
• tool_choice: "auto" | "none" | "required" | { type: "function", function: { name: "..." } }
• store: boolean (false to opt out of model distillation)
• stream: boolean

Structured output example: Set text.format to { type: "json_schema", name: "person", schema: { type: "object", properties: { name: { type: "string" }, age: { type: "integer" } }, required: ["name", "age"], additionalProperties: false }, strict: true } .

2. Create Embeddings

Use OPENAI_CREATE_EMBEDDINGS for vector search, clustering, recommendations, and RAG pipelines.

Tool: OPENAI_CREATE_EMBEDDINGS Inputs:

• input: string | string[] | int[] | int[][] (required) -- max 8192 tokens, max 2048 items
• model: string (required) -- "text-embedding-3-small", "text-embedding-3-large", "text-embedding-ada-002"
• dimensions: integer (optional, only for text-embedding-3 and later)
• encoding_format: "float" | "base64" (default "float")
• user: string (optional, end-user ID for abuse monitoring)

3. Generate Images

Use OPENAI_CREATE_IMAGE to create images from text prompts using GPT Image or DALL-E models.

Tool: OPENAI_CREATE_IMAGE Inputs:

• model: string (required) -- "gpt-image-1", "gpt-image-1.5", "dall-e-3", "dall-e-2"
• prompt: string (required) -- max 32000 chars (GPT Image), 4000 (DALL-E 3), 1000 (DALL-E 2)
• size: "1024x1024" | "1536x1024" | "1024x1536" | "auto" | "256x256" | "512x512" | "1792x1024" | "1024x1792"
• quality: "standard" | "hd" | "auto" | "high" | "medium" | "low"
• n: integer (1-10; DALL-E 3 supports n=1 only)
• background: "transparent" | "opaque" | "auto" (GPT Image models only)
• style: "vivid" | "natural" (DALL-E 3 only)
• user: string (optional)

4. List Available Models

Use OPENAI_LIST_MODELS to discover which models are accessible with your API key.

Tool: OPENAI_LIST_MODELS Inputs: (none)

Known Pitfalls

Pitfall Detail

DALL-E deprecation DALL-E 2 and DALL-E 3 are deprecated and will stop being supported on 05/12/2026. Prefer GPT Image models.

DALL-E 3 single image only OPENAI_CREATE_IMAGE with DALL-E 3 only supports n=1 . Use GPT Image models or DALL-E 2 for multiple images.

Token limits for embeddings Input must not exceed 8192 tokens per item and 2048 items per batch for embedding models.

Reasoning model restrictions temperature and top_p are not supported with reasoning models (o3-mini, etc.). Use reasoning.effort instead.

Structured output strict mode When strict: true in json_schema format, ALL schema properties must be listed in the required array.

Prompt length varies by model Image prompt max lengths differ: 32000 (GPT Image), 4000 (DALL-E 3), 1000 (DALL-E 2).

Quick Reference

Tool Slug Description

OPENAI_CREATE_RESPONSE

Generate text/multimodal responses with structured output support

OPENAI_CREATE_EMBEDDINGS

Create text embeddings for search, clustering, and RAG

OPENAI_CREATE_IMAGE

Generate images from text prompts

OPENAI_LIST_MODELS

List all models available to your API key

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