Connect OpenAI (ChatGPT) to Parseur

Use 4 documented OpenAI (ChatGPT) triggers to run 1 documented Parseur actions.

4 source triggers

1 target actions

Reverse direction supported

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Why Connect OpenAI (ChatGPT) & Parseur?

Start with a OpenAI (ChatGPT) event

Choose from 4 documented triggers, including New Batch Completed, New File Created, New Fine Tuning Job Created.

Run a Parseur action

Send the event into one of 1 documented actions, such as List Parser ID Options.

Map and review the workflow

Choose the fields and conditions for the workflow, then test the result before activation.

Available Triggers & Actions

OpenAI (ChatGPT)

Triggers (4)

New Batch Completed

Emit new event when a new batch is completed in OpenAI. See the documentation

polling

New File Created

Emit new event when a new file is created in OpenAI. See the documentation

polling

New Fine Tuning Job Created

Emit new event when a new fine-tuning job is created in OpenAI. See the documentation

polling

New Run State Changed

Emit new event every time a run changes its status. See the documentation

polling

Actions (24)

Chat

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

Chat using Web Search

Chat using the web search tool. See the documentation

Chat using Functions

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

Chat using File Search

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

Summarize Text

Summarizes text using the Chat API. See the documentation

Classify Items into Categories

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

Translate Text (Whisper)

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

Create Transcription

Transcribes audio into the input language. See the documentation

Create Image (Dall-E)

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

Create Embeddings

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

Create Completion (Send Prompt)

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

Analyze Image Content

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

Cancel Run (Assistants)

Cancels a run that is in progress. See the documentation

Chat with Assistant

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

Chat With Responses API

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

Convert Text to Speech (TTS)

Generates audio from the input text. See the documentation

Create Assistant

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

Create Batch

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

Create Fine Tuning Job

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

Create Moderation

Classifies if text is potentially harmful. See the documentation

Create Thread (Assistants)

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

Create Vector Store

Create a vector store. See the documentation

Create Vector Store File

Create a vector store file. See the documentation

Delete File

Deletes a specified file from OpenAI. See the documentation

Parseur

Triggers (5)

New Document Not Processed

Emit new event when a new document is not processed. It is triggered when a document fails to process with status New Template Needed. See the docs.

webhook

New Document Processed

Emit new event when a new document is processed. It is useful for endpoints that don't support deep JSON structures as it will flatten your table fields. See the docs.

webhook

New Document Processed (With List Items)

Emit new event when a new document is processed with list items. The payload format is the same as when viewing the document and clicking on view as JSON. See the docs.

webhook

New Mailbox Created

Emit new event when a new mailbox is created. See the docs.

webhook

New Table Processed

Emit new event when a new table is processed. See the docs.

webhook