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Connect OpenAI (ChatGPT) to AWS

Automate workflows and sync data between OpenAI (ChatGPT) and AWS with AI-powered automation

5-minute setup
Enterprise secure
No coding required

Why Connect OpenAI (ChatGPT) & AWS?

Intelligent Automation Workflows

Leverage 4 available triggers from OpenAI (ChatGPT) to execute 23 targeted actions in AWS automatically.

Eliminate Manual Data Entry

Replace time-consuming manual processes with intelligent automation that keeps OpenAI (ChatGPT) and AWS perfectly synchronized.

Real-time Business Intelligence

Create a unified data flow between OpenAI (ChatGPT) and AWS for instant insights and improved decision-making across your tech stack.

Available Triggers & Actions

OpenAI (ChatGPT) logo

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

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AWS

Triggers (12)

New Scheduled Tasks

Creates a Step Function State Machine to publish a message to an SNS topic at a specific timestamp. The SNS topic delivers the message to this Mazaal AI source, and the source emits it as a new event.

polling
New SNS Messages

Creates an SNS topic in your AWS account. Messages published to this topic are emitted from the Mazaal AI source.

polling
New Inbound SES Emails

The source subscribes to all emails delivered to a specific domain configured in AWS SES. When an email is sent to any address at the domain, this event source emits that email as a formatted event. These events can trigger a Mazaal AI workflow and can be consumed via SSE or REST API.

polling
New Deleted S3 File

Emit new event when a file is deleted from a S3 bucket

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New DynamoDB Stream Event

Emit new event when a DynamoDB stream receives new events. See the docs here

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New Records Returned by CloudWatch Logs Insights Query

Executes a CloudWatch Logs Insights query on a schedule, and emits the records as invidual events (default) or in batch

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New Restored S3 File

Emit new event when a file is restored into an S3 bucket

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New S3 Event

Emit new S3 events for a given bucket

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New S3 File

Emit new event when a file is added to an S3 bucket

polling
New Update to AWS RDS Database (Instant)

Emit new event when there is an update to an AWS RDS Database.

webhook
Redshift - New Row

Emit new event when a new row is added to a table. See the documentation

polling
Redshift - Updated Row

Emit new event when a row is updated, based on a selected timestamp column. See the documentation

polling

Actions (23)

CloudWatch Logs - Put Log Event

Uploads a log event to the specified log stream. See docs

DynamoDB - Create Table

Creates a new table to your account. See docs

DynamoDB - Execute Statement

This operation allows you to perform transactional reads or writes on data stored in DynamoDB, using PartiQL. See docs

DynamoDB - Get Item

The Get Item operation returns a set of attributes for the item with the given primary key. If there is no matching item, Get Item does not return any data and there will be no Item element in the response. See docs

DynamoDB - Put Item

Creates a new item, or replaces an old item with a new item. If an item that has the same primary key as the new item already exists in the specified table, the new item completely replaces the existing item. See docs

DynamoDB - Query

The query operation finds items based on primary key values. See docs

DynamoDB - Scan

The Scan operation returns one or more items and item attributes by accessing every item in a table. See docs

DynamoDB - Update Item

Updates an existing item's attributes, or adds a new item to the table if it does not already exist. See docs

DynamoDB - Update Table

Modifies the settings for a given table. Only one type of modification is permitted per request. See docs

EventBridge - Send Event to Event Bus

Sends an event to an EventBridge event bus. See documentation

Lambda - Create Function

Create a Lambda function from source code. This action creates a zip file and deploys it to AWS Lambda. See the docs

Lambda - Invoke Function

Invoke a Lambda function using the AWS API. See the docs

List AWS Region Options

Retrieves available options for the AWS Region field.

Redshift - Create Rows

Insert rows into a table. See the documentation

Redshift - Delete Rows

Deletes row(s) in an existing table in Redshift. See the documentation

Redshift - Query Database

Run a SELECT query on a database. See the documentation

Redshift - Update Rows

Update row(s) in an existing table in Redshift. See the documentation

S3 - Download File to /tmp

Downloads a file from S3 to the /tmp directory. See the documentation

S3 - Generate Presigned URL

Creates a presigned URL to download from a bucket. See the documentation

S3 - Upload Base64 As File

Accepts a base64-encoded string and a filename, then uploads as a file to S3. See the documentation

S3 - Upload Files

Upload files to S3. Accepts either a file URL, a local file path, or a directory path. See the documentation

SNS - Send Message

Sends a message to a SNS Topic. See docs

SQS - Send Message

Sends a message to an SQS queue. See the docs

Integration Features

Real-time data synchronization
Bi-directional sync capabilities
Custom field mapping
Advanced filtering options
Error handling & retry logic
Activity monitoring & logs

Popular Workflows

When OpenAI (ChatGPT) trigger → Create/Update in AWS

Most Popular
OpenAI (ChatGPT)OpenAI (ChatGPT)

New Batch Completed

AWSAWS

CloudWatch Logs - Put Log Event

When AWS trigger → Update OpenAI (ChatGPT)

Bi-directional
AWSAWS

New Scheduled Tasks

OpenAI (ChatGPT)OpenAI (ChatGPT)

Chat

How It Works

1

Connect Apps

Authenticate your OpenAI (ChatGPT) and AWS accounts

2

Map Fields

Choose which data fields to sync between apps

3

Set Triggers

Define when and how data should be synchronized

Automate

Sit back and let AI handle the automation

Frequently Asked Questions

Integration Benefits

Real-time Data Sync

Automatic synchronization between OpenAI (ChatGPT) and AWS with 16 public triggers available for instant updates.

Automated Actions

Execute 47 public actions automatically across both platforms without manual intervention.

Enterprise Security

Industry-standard encryption, OAuth 2.0 authentication, and SOC 2 compliance for secure data transfer.

Quick Setup

Connect OpenAI (ChatGPT) and AWS in minutes with our guided setup wizard and pre-configured templates.

Custom Field Mapping

Map any field between OpenAI (ChatGPT) and AWS with intelligent suggestions and validation.

Error Handling

Automatic retry logic, detailed error logs, and smart notifications keep your integration running smoothly.

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Reverse Integration Available

Also connect AWS to OpenAI (ChatGPT) for bidirectional automation

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