Show HN: RΞASON – Open-source TypeScript framework for LLM apps https://ift.tt/R8KFBYs

Show HN: RΞASON – Open-source TypeScript framework for LLM apps Hi HN! RΞASON is an OSS Typescript framework for developing LLM apps that uses Typescript's interfaces to get structured output from an LLM. While there are other TS LLM frameworks, I think RΞASON fills a unique space in the market: it's laser-focused on only three areas and, most importantly, actively stays away from pre-made prompting & retrieval. I've been in the LLM space since GPT-3 originally came out, and I've always had problems with other frameworks, such as LangChain. I dislike that they focus a ton on out-of-the-box prompting & pre-made agents — I , as the dev, should be the one in charge of it. My belief is that LLMs are a new primitive that programmers can use — not a new way to program; it's still up to the programmer to do the right thing & create the right abstractions. Therefore, it's the developer's job to learn the new concepts that come from this new primitive, such as prompting & retrieval. I see a similar analogy here with ORMs & SQL. What RΞASON helps with is in areas that don't differentiate your app: getting structured outputs, handling streaming, and observability. The goal of RΞASON is to make creating great LLM experiences easier. We try to accomplish this by simplifying the hard stuff & maximizing performance — decreasing as much as possible the TTUB. RΞASON is OpenTelemetry compatible — which allows observability in almost any tool (Zipkin, Jaeger, paid solutions, etc.). I'd really love to hear feedback about RΞASON! It has been a hobby project for the last months and I'm super curious to what y'all will think. By the way, contributions welcome! https://ift.tt/umWzr5s December 13, 2023 at 01:05AM

Show HN: Atomix – UX/UI Design Services for Startups https://ift.tt/wSftuY0

Show HN: Atomix – UX/UI Design Services for Startups https://atomix.design/ December 11, 2023 at 09:53PM

Show HN: I built an OSS alternative to Azure OpenAI services https://ift.tt/ymAOdjp

Show HN: I built an OSS alternative to Azure OpenAI services Hey HN, I am proud to show you guys that I have built an open source alternative to Azure OpenAI services. Azure OpenAI services was born out of companies needing enhanced security and access control for using different GPT models. I want to build an OSS version of Azure OpenAI services that people could self host in their own infrastructure. "How can I track LLM spend per API key?" "Can I create a development OpenAI API key with limited access for Bob?" "Can I see my LLM spend breakdown by models and endpoints?" "Can I create 100 OpenAI API keys that my students could use in a classroom setting?" These are questions that BricksLLM helps you answer. BricksLLM is an API gateway that let you create API keys with rate limit, cost control and ttl that could be used to access all OpenAI and Anthropic endpoints with out of box analytics. When I first started building with OpenAI APIs, I was constantly worried about API keys being comprised since vanilla OpenAI API keys would grant you unlimited access to all of their models. There are stories of people losing thousands of dollars and the existence of a black market for stolen OpenAI API keys. This is why I started building a proxy for ourselves that allows for the creation of API keys with rate limits and cost controls. I built BricksLLM in Go since that was the language I used to build performative ads exchanges that scaled to thousands of requests per second at my previous job. A lot of developer tools in LLM ops are built with Python which I believe might be suboptimal in terms of performance and compute resource efficiency. One of the challenges building this platform is to get accurate token counts for different OpenAI and Anthropic models. LLM providers are not exactly transparent with the way how they count prompt and completion tokens. In addition to user input, OpenAI and Anthropic pad prompt inputs with additional instructions or phrases that contribute to the final token counts. For example, Anthropic's actual completion token consumption is consistently 4 more than the token count of the completion output. The latency of the gateway hovers around 50ms. Half of the latency comes from the tokenizer. If I start utilizing Go routines, might be able to lower the latency of the gateway to 30ms. BricksLLM is not an observability platform, but we do provide integration with Datadog so you can get more insights regarding what is going on inside the proxy. Compared to other tools in the LLMOps space, I believe that BricksLLM has the most comprehensive features when it comes to access control. Let me know what you guys think. https://ift.tt/aMu71sK December 12, 2023 at 12:26AM

Show HN: Slow Marathon https://ift.tt/p3vOugS

Show HN: Slow Marathon https://ift.tt/t8DTzOV December 11, 2023 at 02:26AM

Show HN: MyYogaFlow – Online Yoga Instructor https://ift.tt/CoKrcAh

Show HN: MyYogaFlow – Online Yoga Instructor Hi fellow hackers :) I am an indie hacker based in Switzerland who has been tinkering around with many side projects. Most of the things I developed were for myself or just to get familiar with a specific technology or piece of software. I never really deployed anything so far. Not too long ago, my SO and me bought a deck of cards with different yoga poses on them. Since we both work from our office chairs more than 8 hours a day, we wanted to do something for our body and this is where the yoga idea originated from. After the first 10 minutes of reading through the leaflet and another 30 minutes of choosing the poses and putting them in a somewhat meaningful order, we finally started with our own yoga session. It was clear to me: this is not something my SO wants to do every day. Doing the same order of poses every day wasn't an appealing alternative either. Away with the cards and on the lookout for an alternative again. Hence I started developing an application for us, that automatically generates a yoga session. It shows the poses one by one and guides you through the session. Each session is unique, which makes it more interesting over the days. The app even lets you create your custom flow that you select or it chooses among poses that fit your experience level just right. I have recently launched this application and made it publicly available. It is working (in most of the cases) and we are pretty happy about how it turned out. We used it many times in our lunch breaks or after a stressful day to calm down. I would be more than happy to get some feedback on it and some pointers on what to improve or focus on next. https://ift.tt/Wx7ATgS December 10, 2023 at 08:32PM

Show HN: Fine-grained stylistic control of LLMs using model arithmetic https://ift.tt/DPyVids

Show HN: Fine-grained stylistic control of LLMs using model arithmetic We developed a new framework that enables flexible control of generated text in language models. By combining several models and/or system prompts in one mathematical formula, it lets you tweak your style and combine model outputs with ease. A handy tool for those working with LLMs, looking for more fine-grained control of stylistic output. More details in our paper: https://ift.tt/xS3QOXB . Feedback and potential applications are welcome. https://ift.tt/Ku53ETQ December 10, 2023 at 02:27AM

Show HN: Seamless – An AI assistant that writes your literature review https://ift.tt/YMxak9T

Show HN: Seamless – An AI assistant that writes your literature review https://seaml.es/ December 10, 2023 at 01:09AM