Vellum Alternatives

If you're looking for a Vellum alternative, Humanloop is a good option. The company's service is geared for overseeing and optimizing LLM app development, a process that can be plagued by issues like suboptimal workflows and manual evaluation. It offers a collaborative prompt management system with version control and history, an evaluation and monitoring system for debugging, and integration tools for private data and model fine-tuning. Humanloop integrates with major LLM suppliers and can be used through Python and TypeScript software development kits, making it a good option for product teams, developers and anyone building AI features.

Another good option is Klu, which is geared for building, deploying and optimizing generative AI applications using large language models like GPT-4, Llama 2 and Mistral. Klu supports multiple LLMs and offers features like automated prompt engineering, version control and performance monitoring. It also offers tools for rapid iteration, built-in analytics and support for custom models, which can help AI engineers and teams work more efficiently by letting them iterate based on model and user feedback.

If you're looking for a single DevOps platform, check out Keywords AI. The service offers a one-stop-shop for the entire lifecycle of AI software, with a single API endpoint for multiple LLM models, easy integration with OpenAI APIs and tools for visualization, logging and performance monitoring. Keywords AI is geared for AI startups, letting developers concentrate on building products instead of infrastructure, with an intuitive interface and streamlined DevOps process.

Last, Freeplay is a powerful end-to-end lifecycle management tool for LLM product development. It lets you experiment, test, monitor and optimize AI features with features like prompt management and versioning, automated batch testing and AI auto-evaluations. Freeplay offers a single pane of glass for teams, with lightweight developer SDKs and deployment options for compliance needs, making it a good option for enterprise teams trying to move beyond manual processes and increase development velocity.