---
title: "TIR GenAI API"
description: "TIR GenAI API gives you ready-to-use inference endpoints for text, speech, image, and embedding models, while E2E runs the serving infrastructure."
content_type: "overview"
product: "genai-api"
platform: "TIR"
url: "/tir/genai-api/"
---

# TIR GenAI API

TIR GenAI API gives you ready-to-use inference endpoints for AI models, so you can call a model
straight away and leave the serving infrastructure to E2E. Open a model, try it in the Playground,
then call it from your own code.

## Where to find it

In TIR, open your project. In the side menu's **PRODUCTS** list, select **GenAI API**. The page
that opens, **Models**, lists every model you can use.

## The models on offer

Every model on GenAI API belongs to one task category: Text-to-Text, Image-to-Text,
Image-to-Image, Object Detection, Speech-to-Text, Text-to-Image, Text-to-Speech, Multimodal, Text
Embedding, and Rerank. Each model has a display name, author, category, and a short description, and you can search by
name, author, or type.

## What you can do

- [Use the Playground](/tir/genai-api/how-to/use-the-playground/) to try a model and test prompts
  before you write any code.
- [Run bulk prompts](/tir/genai-api/how-to/run-bulk-prompts/) against a Text-to-Text model from an
  uploaded CSV file, and track the job in Async History.
- [Call the API with the OpenAI SDK](/tir/genai-api/how-to/call-the-api-with-the-openai-sdk/) for a
  text or embedding model, using your existing OpenAI code with a different base URL.
- [Call the API with REST](/tir/genai-api/how-to/call-the-api-with-rest/) for any model, with a
  plain HTTP request.
- [Call the API with the TIR SDK](/tir/genai-api/how-to/call-the-api-with-the-tir-sdk/) for the
  small set of models it supports, such as Whisper Large V3, when the model's name goes in the
  request body.
- [Generate vector embeddings](/tir/genai-api/how-to/generate-vector-embeddings/) and store them in
  a TIR Vector Database.
- [Build a RAG pipeline](/tir/genai-api/how-to/build-a-rag-pipeline/) that answers questions from
  your own documents with a self-hosted model and the GenAI API's embeddings.

For how a calling method matches a model, see
[Models and calling methods](/tir/genai-api/concepts/models-and-calling-methods/). For what a call
costs, see [Billing and usage](/tir/genai-api/concepts/billing-and-usage/).

## Where to start

In [Get started with TIR GenAI API](/tir/genai-api/get-started/), you try a model in the Playground
and make your first API call. For help with a message,
[Troubleshooting TIR GenAI API](/tir/genai-api/troubleshooting/genai-api/) has the fixes, and the
[TIR GenAI API FAQ](/tir/genai-api/faq/) has short answers.