OpenPipe

About OpenPipe

OpenPipe is a Web and API platform designed for enterprises and developers who need to fine-tune large language models and train production-grade AI agents. The platform reduces prompt costs and latency by providing a unified SDK for model integration, production prompt logging, and request capture. It supports fine-tuning workflows with pruning rules to convert expensive prompt pipelines into smaller, more efficient models. OpenPipe offers model hosting with OpenAI API-compatible request formats, along with caching and evaluation tools to compare model performance and speed. The Agent Reinforcement Trainer (ART), an open-source reinforcement learning framework, enables multi-turn agent training using Group Relative Preference Optimization (GRPO) for realistic conversational rollouts. The platform emphasizes an end-to-end workflow from production logging to fine-tuning, evaluation, and deployment, supporting real-world agent workflows with reported cost and latency reductions and improved task success rates.

Key features

• ✓Fine-tune large language models with pruning rules
• ✓Host models with OpenAI API-compatible request formats
• ✓Capture production logs and request data via unified SDK
• ✓Train multi-turn agents using reinforcement learning (GRPO)
• ✓Evaluate and compare model performance with caching tools
• ✓Support for realistic conversational agent rollouts
• ✓Open-source Agent Reinforcement Trainer (ART) framework
• ✓Scalable per-token pricing model with no minimum commitments
• ✓Enterprise plans available for teams and businesses

Use cases

• ✓Fine-tuning LLMs for production deployment
• ✓Training multi-turn AI agents with reinforcement learning
• ✓Reducing prompt costs and latency in agent workflows

Frequently asked questions about OpenPipe