Question: I'm looking for a tool that allows me to build, test, and deploy custom LLM pipelines on my own infrastructure.

If you want a tool to build, test and run your own LLM pipelines on your own infrastructure, Superpipe is worth a look. This open-source experimentation platform lets you build pipelines, test them and run them on your own infrastructure to reduce costs and get better results. It comes with tools like the Superpipe SDK to construct multistep pipelines and Superpipe Studio to manage data, run experiments and monitor pipelines with observability tools.

Another contender is Lamini, an enterprise LLM platform designed for software teams to build, manage and deploy their own LLMs on their own data. It can handle high accuracy, deployment to different environments, including air-gapped systems, and has a sophisticated model lifecycle management system. Lamini can be installed on-premise or deployed in the cloud, so it can be used in a variety of situations.

For a low-code approach, check out Flowise. This tool lets developers construct custom LLM orchestration flows and AI agents with a graphical interface. It supports more than 100 integrations, including Langchain and LlamaIndex, and can be installed and self-hosted on AWS, Azure and GCP. Flowise is good for creating sophisticated LLM apps and integrating them with other systems.

Last, Keywords AI offers a unified DevOps platform for building, deploying and monitoring LLM-based AI applications. It offers a single API endpoint for multiple LLM models, supports high concurrency, and can be easily integrated with OpenAI APIs. Keywords AI also offers visualization and logging tools, performance monitoring and prompt management features, so you can focus on your product instead of infrastructure.