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Welcome
OpenPipe Documentation
Welcome
  • Introduction
  • Overview
  • Base Models
Getting Started
  • Quick Start
  • Installing the SDK
Features
  • Request Logs
  • Datasets
  • Fine Tuning
  • Direct Preference Optimization (DPO)
  • Evaluations
  • Criteria
  • Chat Completions
  • Caching
  • Updating Metadata Tags
  • Pruning Rules
  • Fallback
  • Deployments
  • External Models
API Reference
  • Logs
  • Chat Completions
  • Datasets
  • Models
  • Criteria
Pricing
  • Pricing Overview
Welcome

OpenPipe Documentation

Software engineers and data scientists use OpenPipe’s intuitive fine-tuning and monitoring services to decrease the cost and latency of their LLM operations. You can use OpenPipe to collect and analyze LLM logs, create fine-tuned models, and compare output from multiple models given the same input.

Get Started

Quickly integrate the OpenPipe SDK into your application and start collecting data.

Features

View the platform features OpenPipe provides and learn how to use them.

Sample Project

Glance over the public demo we’ve set up to get an idea for how OpenPipe works.

Overview
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