Question: I'm looking for a platform to debug and analyze my large language model projects, can you suggest something?

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Langfuse

If you need a powerful foundation to debug and inspect your large language model projects, Langfuse is a good option. It's got a lot of features, including tracing, prompt management, evaluation, analytics and a playground for testing. Langfuse can connect to many other services like OpenAI, Langchain and LlamaIndex, and it's got strong security credentials, including SOC 2 Type II and ISO 27001 certifications.

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HoneyHive

Another option is HoneyHive, which offers a wide range of tools for AI evaluation, testing and observability. That includes automated CI testing, dataset curation, prompt management and observation tools to monitor and debug your production pipeline. HoneyHive supports more than 100 models and has integrations with many GPU clouds, so it should work for a variety of AI work.

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Langtail

Langtail also offers a collection of tools for debugging, testing and deploying LLM prompts. That includes a no-code playground for writing and running prompts, adjustable parameters, test suites and detailed logging. Langtail is designed to help teams collaborate and to ensure that AI products work reliably.

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Anyscale

If you prefer a more full-stack approach, check out Anyscale. The platform lets you develop, deploy and scale AI applications, with features like workload scheduling, cloud flexibility and optimized resource usage. Anyscale supports a variety of AI models and has native integration with popular IDEs and Git, so it's a good choice for solo developers and big businesses.

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Promptfoo

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