langflow VS ChainForge

Hey folks I'm the Head of DevRel @ DataStax here and just wanted to share to the HN community that in conjunction with this big acquisition news, the LF team has shipped 1.0-alpha of Langflow.

It's a simple `pip install` and the team would love any and all feedback!

https://github.com/logspace-ai/langflow/

You can also check langflow, a node UI for langchain https://github.com/logspace-ai/langflow

There's a few tools out there like AgentGPT (https://github.com/reworkd/AgentGPT, although it's a more conversational interface), and (https://github.com/logspace-ai/langflow) and others. I think most developers definitely prefer a code-first interface though like a library but haven't found one that's great yet. We've used them in the past but didn't have the best experience so would love to hear if anyone has worked with a library they found really flexible.

I found this thread talking about it here: https://github.com/logspace-ai/langflow/issues/263

also check https://github.com/logspace-ai/langflow

AutoGPT is basically a demo of what you can do with Langchain. If you want to play with Langchain in a drag and drop blueprint environment I suggest Langflow

Hi, I like this! I'm curious what drove the decision to use the vertical block builder style you chose. I'm partial to node-based editors and have been building things with React Flow recently. LangFlow [1] is a good example, but there's lots of UIs that use a similar interface (e.g. Blender [2] and Unity [3]).

[1] https://github.com/logspace-ai/langflow

[2] https://docs.blender.org/manual/en/3.5/interface/controls/no...

[3] https://unity.com/features/unity-visual-scripting

Here's an open source version that's very similar LangFlow

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...).