promptfoo VS ChainForge

Super interesting. We've been experimenting with [promptfoo](https://github.com/promptfoo/promptfoo) at my work, and this looks very similar.

In case anyone's interested in running their own benchmark across many LLMs, I've built a generic harness for this at https://github.com/promptfoo/promptfoo.

I encourage people considering LLM applications to test the models on their _own data and examples_ rather than extrapolating general benchmarks.

This library supports OpenAI, Anthropic, Google, Llama and Codellama, any model on Replicate, and any model on Ollama, etc. out of the box. As an example, I wrote up an example benchmark comparing GPT model censorship with Llama models here: https://promptfoo.dev/docs/guides/llama2-uncensored-benchmar.... Hope this helps someone.

This seems like a sheets implementation of something like ChainForge (https://github.com/ianarawjo/ChainForge). Curious that Anthropic is entering the LLMOps tooling space ---this definitely comes as a surprise to me, as both OpenAI and HuggingFace seem to avoid building prompt engineering tooling themselves. Is this a business strategy of Anthropic's? An experiment? Regardless, it's very cool to see a company like them throw their hat into the LLMOps space beyond being a model provider. Interested to see what comes next.

ChainForge has similar functionality for comparing : https://github.com/ianarawjo/ChainForge

LocalAI creates a GPT-compatible HTTP API for local LLMs: https://github.com/go-skynet/LocalAI

Is it necessary to have an HTTP API for each model in a comparative study?

I think you should probably mention that its source is available! [0]

I don't personally have a need for this right now, but I can really see the use for the parameterised queries, as well as comparisons across models.

Thanks for your efforts!

0: https://github.com/ianarawjo/ChainForge

No problem! I guess I will make a plug myself --we've been working on a similar 'prompt engineering', ChainForge (https://github.com/ianarawjo/ChainForge). It's targeted towards slightly different users and use cases than promptfoo --probably more geared towards early-stage, 'quick-and-dirty' prompting explorations of differences between prompts and models for less experience programmers, versus the kind of continuious benchmarking and verification testing that promptfoo offers.

I particularly like promptfoo's support for CI, which I haven't seen anywhere else, and is very important for developers pushing prompts into production (esp since OpenAI keeps updating their models every few months...).