OpenPipe

OpenPipeSince 2023-09

OpenPipe is a developer-centric model distillation and fine-tuning platform that enables engineering teams to replace expensive, slow frontier LLMs (like GPT-4.5 and Claude 3.7) with specialized, fine-tuned smaller models that run faster and cost up to 90% less. Rather than manually gathering synthetic training datasets, OpenPipe acts as a drop-in proxy wrapper around your existing OpenAI or Anthropic SDK calls. It automatically logs real-world production prompts and completions in the background. Once sufficient production data is collected, OpenPipe allows you to trigger automated fine-tuning runs on open-weights architectures (such as Llama 3 and Mistral) with one click, delivering equivalent task accuracy at sub-100ms inference latency.

OpenPipe provides seamless drop-in SDKs for Python and TypeScript that match the standard OpenAI client signature. Developers simply change their base URL or SDK import, enabling asynchronous logging with zero added runtime latency. The platform includes automated dataset curation filters, allowing engineers to prune low-quality completions, filter out duplicate inputs, and split data into training and validation sets. Once fine-tuning completes, OpenPipe deploys the fine-tuned model checkpoint on dedicated serverless GPU infrastructure with built-in fallback routing to frontier models if input edge cases occur.

OpenPipeSince 2023-09

OpenPipe is a developer-centric model distillation and fine-tuning platform that enables engineering teams to replace expensive, slow frontier LLMs (like GPT-4.5 and Claude 3.7) with specialized, fine-tuned smaller models that run faster and cost up to 90% less. Rather than manually gathering synthetic training datasets, OpenPipe acts as a drop-in proxy wrapper around your existing OpenAI or Anthropic SDK calls. It automatically logs real-world production prompts and completions in the background. Once sufficient production data is collected, OpenPipe allows you to trigger automated fine-tuning runs on open-weights architectures (such as Llama 3 and Mistral) with one click, delivering equivalent task accuracy at sub-100ms inference latency.

OpenPipe provides seamless drop-in SDKs for Python and TypeScript that match the standard OpenAI client signature. Developers simply change their base URL or SDK import, enabling asynchronous logging with zero added runtime latency. The platform includes automated dataset curation filters, allowing engineers to prune low-quality completions, filter out duplicate inputs, and split data into training and validation sets. Once fine-tuning completes, OpenPipe deploys the fine-tuned model checkpoint on dedicated serverless GPU infrastructure with built-in fallback routing to frontier models if input edge cases occur.