You are looking at Opper version 2 docs which we are currently rolling out. To access version 1 docs please go to: https://docs-v1.opper.ai/

Opper is a task completion platform for building reliable AI integrations. The Opper platform builds a happy path for declarative programming with AI models, combined with in context reinforcement learning, observability and cost tracking all in one platform - for reliable results in no time!

​
Start here

Quickstart

Get started with Opper in minutes - setup, authentication, and your first AI task

API Reference

Complete API documentation with endpoints, parameters, and example requests

AI Models

Explore supported AI models, capabilities, and how to choose the right one

SDKs

Client libraries for Python, JavaScript, and other popular programming languages

​
By use case

Agent

Build intelligent agents that can perform complex multi-step tasks autonomously

Chatbot

Create conversational interfaces with context awareness and memory

Pipeline

Design AI-powered data processing and transformation workflows

Multimodal

Work with text, images, audio, and other media types in unified workflows

​
By capability

Task completion

Define and execute structured AI tasks with reliability and error handling

Task evals

Measure and improve AI task performance with comprehensive evaluation tools

Logging

Monitor AI performance, track usage, and debug issues in real-time

Knowledge

Integrate and query your data sources to enhance AI task context

Analytics

Track costs, performance metrics, and usage patterns across your AI tasks