Elmo tracks ai visibility across OpenAI, Anthropic, Mistral, and OpenRouter

Elmo logs every prompt sent to OpenAI, Anthropic, Mistral, or OpenRouter, captures web mentions, and stores citation data [Dev.to]. The project ships as a Docker image, requiring a web-scraper API key and an LLM provider key. Several e-commerce and SaaS sites have adopted Elmo, using a single Docker container for production-grade monitoring [Dev.to]. The GitHub repository includes a Flask-style UI, a SQLite backend, and a scheduler that polls LLM APIs every minute. The codebase is under the MIT license, with upcoming features like sentiment analysis and content simulation. Elmo's documentation emphasizes a zero-cost entry point: pull the Docker image, set two environment variables, and the service begins ingesting prompt logs and web mentions. By supporting multiple LLM providers, Elmo gives a unified view of prompt traffic, unlike most commercial tools [Dev.to]. A Docker-only deployment means startups can spin up full-stack visibility on a single VM, avoiding custom telemetry pipeline overhead. Elmo's simplicity may force larger AI-ops vendors to expose raw telemetry APIs, potentially leading to open telemetry standards for LLM usage, similar to OpenTelemetry for tracing [Dev.to].