LLMxRay an open-source observability tool for LLMs
LLMxRay — Local LLM Observatory. Full observability interface for Ollama: chat, streaming, reasoning, RAG, introspection, metrics. - LogneBudo/llmxray
Are you the maker of LLMxRay an open-source observability tool for LLMs? Claim this listing
What is LLMxRay an open-source observability tool for LLMs?
LLMxRay an open-source observability tool for LLMs is LLMxRay — Local LLM Observatory. Full observability interface for Ollama: chat, streaming, reasoning, RAG, introspection, metrics. - LogneBudo/llmxray It's designed for Developers running local models in Ollama who want to see why responses are slow or bad. and offers AI-powered functionality. This ai chatbots helps users accomplish tasks more efficiently.
About LLMxRay an open-source observability tool for LLMs
Provides intelligent conversational AI capabilities for answering questions, brainstorming ideas, and assisting with various tasks through natural language interaction.
Key Strengths
- Free and open source (Apache-2.0), and starts with one command (npx llmxray) or Docker
- Shows token-by-token streaming with speed coloring, plus automatic flags for repetition, refusals, gibberish and truncation
- Can sit in front of Ollama so tools like VS Code Copilot, Open WebUI or Continue send traffic through it, showing prompt size and cache behavior per turn
Limitations to Consider
- Built for Ollama only: you need it running locally with a model pulled
- A small project so far (about 22 GitHub stars and 2 forks), and its Show HN got no comments, so there's little outside feedback
- The 3.5x-faster prefill result in Cache Lab comes from the author's own test
Key Features
- AI-powered functionality
- User-friendly interface
- Integration capabilities
- Scalable solutions
- Regular updates
Best For
Developers running local models in Ollama who want to see why responses are slow or bad.
Skip it if: You use hosted APIs (OpenAI, Anthropic) rather than local models; a cloud LLM observability tool fits better.
Pricing
a completely free service with no subscription required
Free, open source (Apache-2.0). (checked Oct 14, 2026)
Sources
Pros, cons and pricing compiled from public sources (official pricing/docs pages, published reviews, user reports), not hands-on testing.
Compare LLMxRay
Similar Tools in AI Chatbots
TestWhiz
TestWhiz is an all-in-one AI learning assistant built for students. Its AI Solver gives step-by-step explanations for complex problems, and the Chrome extension brings it to any online learning platform. Students can generate quizzes, flashcards, notes and worksheets, and chat with PDFs and YouTube
Try TestWhizFrequently Asked Questions
What is LLMxRay an open-source observability tool for LLMs?
LLMxRay an open-source observability tool for LLMs is LLMxRay — Local LLM Observatory. Full observability interface for Ollama: chat, streaming, reasoning, RAG, introspection, metrics. - LogneBudo/llmxray It's designed for Developers running local models in Ollama who want to see why responses are slow or bad. and offers AI-powered functionality.
How much does LLMxRay an open-source observability tool for LLMs cost?
LLMxRay an open-source observability tool for LLMs offers a completely free service with no subscription required You can get started for free on their official website.
What are the main features of LLMxRay an open-source observability tool for LLMs?
LLMxRay an open-source observability tool for LLMs includes key features such as AI-powered functionality, User-friendly interface, Integration capabilities. These features make it ideal for various professional applications.
Who should use LLMxRay an open-source observability tool for LLMs?
LLMxRay an open-source observability tool for LLMs is perfect for Developers running local models in Ollama who want to see why responses are slow or bad. It's particularly useful for users who need AI-powered assistance.