Connect 302.AI to OpenAI (ChatGPT)

Enable your 302.AI model to invoke user-defined functions. Useful for conditional logic, workflow orchestration, and tool invocation within conversations. See documentation

Send a message to the 302.AI Chat API. Ideal for dynamic conversations, contextual assistance, and creative generation. See documentation

Classify input items into predefined categories using 302.AI models. Perfect for tagging, segmentation, and automated organization. See documentation

Generate vector embeddings from text using the 302.AI Embeddings API. Useful for semantic search, clustering, and vector store indexing. See documentation

Retrieves available options for the Chat Completion Model ID field.

Retrieves available options for the Embeddings Model ID field.

Retrieves available options for the Model ID field.

Summarize long-form text into concise, readable output using the 302.AI Chat API. Great for reports, content digestion, and executive briefs. See documentation

The Chat API, using the gpt-3.5-turbo or gpt-4 model. See the documentation

Chat using the web search tool. See the documentation

Chat with your models and allow them to invoke functions. Optionally, you can build and invoke workflows as functions. See the documentation

Chat with your files knowledge base (vector stores). See the documentation

Summarizes text using the Chat API. See the documentation

Classify items into specific categories using the Chat API. See the documentation

Translate text from one language to another using the Chat API. See the documentation

Transcribes audio into the input language. See the documentation

Creates an image given a prompt returning a URL to the image. See the documentation

Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. See the documentation

OpenAI recommends using the **Chat** action for the latest gpt-3.5-turbo API, since it's faster and 10x cheaper. This action creates a completion for the provided prompt and parameters using the older /completions API. See the documentation

Send a message or question about an image and receive a response. See the documentation

Cancels a run that is in progress. See the documentation

Sends a message and generates a response, storing the message history for a continuous conversation. See the documentation

Send a chat via the Responses API, mixing built-in tools and MCP server tools. See the documentation.

Generates audio from the input text. See the documentation

Creates an assistant with a model and instructions. See the documentation

Creates and executes a batch from an uploaded file of requests. See the documentation

Creates a job that fine-tunes a specified model from a given dataset. See the documentation

Classifies if text is potentially harmful. See the documentation

Creates a thread with optional messages and metadata, and optionally runs the thread using the specified assistant. See the documentation

Create a vector store. See the documentation

Create a vector store file. See the documentation

Deletes a specified file from OpenAI. See the documentation