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Connectors / AI · HTTP Connector

Automate Eden AI with Tray.ai

Create a chat completion, convert speech to text and generate an image in Eden AI, and start a workflow when Eden AI sends “Async job completed”.

What can you do with Eden AI on Tray.ai?

Eden AI is an AI gateway that gives one API to hundreds of models from many providers, covering chat, OCR, translation, speech, and image tasks. Tray.ai connects to Eden AI through the HTTP Connector, so your workflows can call the Eden AI API alongside the rest of your stack.

  • Parse a resume from each application your applicant tracking system receives and fill in the candidate's fields.
  • Extract text from a document that arrives in your shared inbox and file the result in your document store.
  • When Eden AI sends “Async job failed”, alert the engineering team in team chat.
  • Translate text in incoming help desk tickets so agents can answer in their own language.
Connects through
HTTP Connector
Authentication
A bearer token
Base URL
https://api.edenai.run/v3

Set it up

Connect Eden AI to Tray.ai

Each step uses Eden AI's own API details, from its documentation.

Step 1

Save Eden AI's API token

Save the token Eden AI issues as a Tray.ai authentication. The HTTP Client sends it as a bearer token on every call. The token stays out of the workflow and out of the logs.

Step 2

Point the HTTP Client at the API

Add an HTTP Client step and use https://api.edenai.run/v3 as the base URL. Or paste a cURL example from Eden AI's API docs, and Tray.ai fills in the method, URL, and headers.

Step 3

Start with “List LLM models”

It's one of 14 documented actions, under LLMs. The response comes back as data the next step can map into your other apps.

Step 4

Start workflows from Eden AI events

Give Eden AI the URL of a Tray.ai webhook trigger. “Async job completed” can then start a workflow, and so can 1 other event.

Give your AI agents Eden AI tools

Build an MCP server on Eden AI in Agent Gateway and choose which actions your agents can call. Every call runs with access control and an audit trail. How Agent Gateway works

  • Create a chat completion
  • Extract text from a document
  • Translate text
  • Convert speech to text
  • Generate an image
  • Create embeddings
  • List LLM models
  • Extract tables

What the Eden AI API covers

5 resources and 14 documented actions, each one a call the HTTP Connector can make from a Tray.ai workflow. Connecting it takes a few clicks: here's how.

LLMs

  • Create a chat completion
  • Create embeddings
  • List LLM models

OCR

  • Extract text from a document
  • Extract tables
  • Parse a resume
  • Parse a financial document

Translation

  • Translate text
  • Translate a document

Audio

  • Convert speech to text
  • Convert text to speech

Images

  • Generate an image
  • Remove an image background
  • Detect objects in an image

Events Eden AI can send to a Tray.ai webhook trigger

  • Async job completed
  • Async job failed

Checked against Eden AI's own documentation on 2026-10-22

www.edenai.co/docs/v3/overview/llms-vs-expert-models

Frequently asked questions

What can a Tray.ai workflow do in Eden AI?

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The Eden AI API documents 14 actions across 5 resources (LLMs, OCR, Translation, Audio, Images). For example: Create a chat completion; Extract text from a document; Translate text. A workflow can make any documented call through the HTTP Connector.

How does Tray.ai authenticate with Eden AI?

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The Eden AI API uses a bearer token. You save it once as a Tray.ai authentication, and the HTTP Connector adds it to every request.

Which Eden AI events can start a Tray.ai workflow?

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Eden AI sends 2 events to a webhook URL, for example: Async job completed; Async job failed. A Tray.ai webhook trigger receives them and starts a workflow.

See Eden AI working against your stack.

We'll walk through a tailored demo with your systems plugged in.

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