Connect Trengo to OpenAI (ChatGPT)

Assign a Trengo ticket to a user or a team. See the documentation

Attach a label to a ticket. See the documentation

Close a ticket. See the documentation

Creates a contact. If a contact with given identifier already exists, returns it. See the documentation

Finds contacts with the given term. See the documentation

Get a specific article. See the documentation

Get a specific block. See the documentation

Get a specific category. See the documentation

Retrieve the full email content for a specific ticket message. Use this when email_message.collapsed is true in the List Messages response. See the documentation

Get a specific help center. See the documentation

Get a label by ID. See the documentation

Get a message by ID. See the documentation

Get a specific ticket. See the documentation

List all blocks in a help center. See the documentation

List all categories in a help center. See the documentation

List all quick replies. See the documentation

List articles from a help center according to the specified criteria. See the documentation

Retrieves available options for the Channel ID field.

Retrieves available options for the Help Center ID field.

List all help centers. See the documentation

Retrieves available options for the Label ID field.

List all labels. See the documentation

List messages from a ticket. See the documentation

Retrieves available options for the Team ID field.

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