OpenPipe

OpenPipe is a Web and API platform for enterprises and developers who fine-tune large language models and train production-grade AI agents to reduce prompt cost and latency.

Key capabilities include:

• A unified SDK for model integration that supports data capture and request logging from production prompts and agent runs
• Fine-tuning workflows that include pruning rules to turn expensive prompt pipelines into smaller, cheaper models
• Model hosting with OpenAI API compatible request formats, plus caching and evaluation tools to compare model performance and speed
• Agent Reinforcement Trainer (ART), an open-source reinforcement learning framework using Group Relative Preference Optimization (GRPO) for multi-turn agent training and realistic conversational rollouts

Pricing: Unknown.

What makes it notable is its emphasis on RL for multi-turn agents (via ART) alongside an end-to-end path from production logging to fine-tuning, evaluation, and deployment. Reported results include large cost and latency reductions and improved task success rates in real-world agent workflows.