Alternatives
Products that do what VMTP does
Video understanding for LLMs
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Trace LLM requests + costs with OpenTelemetry monitoring
Oct 2025
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I work on inference scheduling — KV cache-aware routing, load balancing across GPU workers, that kind of thing. I wanted something like k9s but for my inference stack. Nothing existed, so I built it. llmtop is a real-time terminal dashboard for LLM inference workers. It scrapes the Prometheus /metrics endpoints that vLLM, SGLang, and LMCache already expose and shows everything in one view: KV cache usage, queue depth, TTFT/ITL latencies (P50/P99 from histogram buckets), token throughput, prefix cache hit rates. Color-coded — red means go fix it. ``` brew install…
Mar 2026 · github.com
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Live demo here: http://fonctionlabs.com:8000 Similarly to aka_sh (guess we were working parallelly on similar topics), I created with my brother a chainlit-based webapp, which summarizes Youtube videos in order to gain time. It works as an RAG-based LLM, and is very light in the sense that it does not use RAG libraries like langchain or llamaindex. You can use it with your own OpenAI API key. It also supports local models like Mistral, or Llamma. It is ofc open-source, and you can deploy with Docker if you choose. Some of the next steps are: - using whisper to be able to compute a…
2024 · github.com
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I’ve always been looking for a solution to communicate larger technical systems faster. This includes a lot of known details and a technical de-risking plan. It is clear that LLMs need that structure and are capable of digesting it well. I’ve built MCP server for guiding the Cursor IDE through the plan that comes from the LLM assisted pipeline: PRD → TRD → Project files tree → Implementation Plan 1. The whole chain comes from one end-to-end solution 2. Codebase produced is easy to navigate by the automatically managed tracebility 3. Specification updates get reflected in tasks, so the flow…
2025 · github.com
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I’ve been working on AnyModal, a framework for integrating different data types (like images and audio) with LLMs. Existing tools felt too limited or task-specific, so I wanted something more flexible. AnyModal makes it easy to combine modalities with minimal setup—whether it’s LaTeX OCR, image captioning, or chest X-ray interpretation. You can plug in models like ViT for image inputs, project them into a token space for your LLM, and handle tasks like visual question answering or audio captioning. It’s still a work in progress, so feedback or contributions would be great. GitHub:…
2024 · github.com
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Hey HN, Hakim here from Fini (YC S22). We've seen first hand how AI chat projects pan out, and so have released an OSS library to ensure the industry gets more tools for improving outcomes. Many AI chat projects are scrapped due to persistent inaccuracies in LLM responses. Paramount is an open-source Python package designed to bridge the gap between LLM-generated and ideal responses by incorporating expert feedback directly into the evaluation process. It provides a robust framework for recording LLM function outputs (ground truth data) and facilitates agent evaluations, reducing the time to…
2024 · github.com
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