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: OpenPipe uses a per-token pricing model that scales based on your usage, similar to other LLM providers. There are no minimum monthly commitments for their standard developer tier. Enterprise Plans are also available.

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.