helicone and LLMstudio
These are complementary tools: Helicone provides observability and monitoring for LLM applications in production, while LLMstudio provides the framework for building and deploying those applications, so teams would typically use both together across the development and monitoring lifecycle.
About helicone
Helicone/helicone
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
Operates as a reverse proxy AI gateway that intercepts requests to 100+ LLM providers through a unified OpenAI-compatible API, enabling intelligent routing and automatic fallbacks. Built on a microservices architecture with a Cloudflare Workers proxy layer for request interception, Express-based collection server (Jawn), ClickHouse for analytics, and Supabase for application data. Integrates with OpenAI, Anthropic, Gemini, LangChain, Vercel AI SDK, and supports self-hosting via Docker or Helm with optional async logging through OpenLLMetry.
About LLMstudio
TensorOpsAI/LLMstudio
Framework to bring LLM applications to production
Provides a unified proxy layer across OpenAI, Anthropic, and Google LLMs plus local models via Ollama, with smart routing and fallback mechanisms for reliability. Includes a web-based prompt playground UI, Python SDK, request monitoring/logging, and LangChain compatibility for seamless integration into existing projects. Supports batch calling and deploys as a server with separate proxy and tracker APIs.
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