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Welcome to the Inferable.ai documentation

Introduction

Build your first agentic application in 2 minutes

Quick Start

Architecture

An overview of the main concepts to model Inferable

Core Concepts

Authentication

Runs

Run Configurations

Functions are the building blocks of Inferable

Functions

Clusters

Standard Library

Control Plane

Services

List Clusters

Update a Cluster

List Runs

Get a Run

Create a Run

Create feedback

List Run References

Retreive a list of system observability events

Get Events

A step-by-step guide to create a minimal Inferable application

Inferable from Scratch

Learn how to create runs, retrieve results, and handle responses using the Inferable API

Creating runs via the API

A guide to help you choose Inferable for your project

Choosing Inferable

Learn how to use Inferable within a React application

Front End usage

Adopting Inferable into an existing service architecture

Adopting Inferable

Evaluations

Observability

Failures

Security

Proxy

Complete Data Privacy and Zero Visibility of Sensitive Information

Sentinel: Data Privacy Shield

Inferable gives you full control over your compute and execution environment.

On-Premise Execution

How Inferable allows your compute to run on private subnets

Private Networking

Use Toolhouse tools within your Inferable cluster

Toolhouse

Use Langfuse to monitor and evaluate your Inferable cluster

Langfuse

Zapier

Inferable is designed to be enterprise-ready from the ground up.

Getting Started

Concepts

API

Guides

Advanced

Integrations

Enterprise

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Headers

Body

Response