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Connect l3mbda to OpenAI (ChatGPT)

Use 4 documented l3mbda triggers to run 24 documented OpenAI (ChatGPT) actions.

4 source triggers
24 target actions
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Why Connect l3mbda & OpenAI (ChatGPT)?

Start with a l3mbda event

Choose from 4 documented triggers, including New ERC1155 NFT Transfer (Instant), New ERC20 Transfer (Instant), New ERC721 NFT Transfer (Instant).

Run a OpenAI (ChatGPT) action

Send the event into one of 24 documented actions, such as Chat, Chat using Web Search, Chat using Functions.

Map and review the workflow

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

Available Triggers & Actions

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l3mbda

Triggers (4)

New ERC1155 NFT Transfer (Instant)

Emit new event when a new ERC1155 NFT transfer is detected by l3mbda.

webhook
New ERC20 Transfer (Instant)

Emit new event when a new ERC20 transfer is detected by l3mbda.

webhook
New ERC721 NFT Transfer (Instant)

Emit new event when a new ERC721 NFT transfer is detected by l3mbda.

webhook
New ETH Transfer (Instant)

Emit new event when a new ETH transfer is detected by l3mbda.

webhook
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

Integration Features

4 documented l3mbda triggers
24 documented OpenAI (ChatGPT) actions
Configurable field mapping
Conditional workflow steps
Execution monitoring

Capability Examples

l3mbda trigger → OpenAI (ChatGPT) action

Catalog example
l3mbdal3mbda

New ERC1155 NFT Transfer (Instant)

OpenAI (ChatGPT)OpenAI (ChatGPT)

Chat

How It Works

1

Connect Apps

Authenticate your l3mbda and OpenAI (ChatGPT) accounts

2

Choose a Trigger

Select a documented l3mbda event

3

Choose an Action

Select the documented OpenAI (ChatGPT) operation to run

Test and Review

Verify field mapping and provider responses before activation

Frequently Asked Questions

Integration Benefits

Trigger-driven Workflows

Start the supported direction from one of 4 documented l3mbda triggers.

Automated Actions

Run one of 24 documented OpenAI (ChatGPT) actions after the selected trigger fires.

Provider Authentication

Review the authentication requirements published by each provider before activating the workflow.

Guided Configuration

Select a documented trigger, choose a target action, and map the fields required by the workflow.

Field Mapping

Map the fields exposed by the selected trigger and action, then review the required provider inputs.

Execution Review

Test the workflow and review provider responses before relying on it in production.

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All l3mbda Integrations

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All OpenAI (ChatGPT) Integrations

Explore all available OpenAI (ChatGPT) connections

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