From c1d77792d00ec29ea020fe68f829fe2e64c8b3c0 Mon Sep 17 00:00:00 2001 From: lanesket Date: Wed, 18 Mar 2026 02:20:19 +0100 Subject: [PATCH] feat: add llm.log to Observability section Signed-off-by: lanesket --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 71a0fe5..5830a74 100644 --- a/README.md +++ b/README.md @@ -166,6 +166,7 @@ An awesome & curated list of the best LLMOps tools for developers. | [QWED](https://github.com/QWED-AI/qwed-verification) | Deterministic verification protocol for LLM outputs using 8 formal verification engines (SymPy, Z3, AST, SQLGlot). Prevents hallucinations through mathematical proofs rather than statistical methods. | ![GitHub Badge](https://img.shields.io/github/stars/QWED-AI/qwed-verification.svg?style=flat-square) | | [Great Expectations](https://github.com/great-expectations/great_expectations) | Always know what to expect from your data. | ![GitHub Badge](https://img.shields.io/github/stars/great-expectations/great_expectations.svg?style=flat-square) | | [Helicone](https://github.com/Helicone/helicone) | Open source LLM observability platform. One line of code to monitor, evaluate, and experiment with features like prompt management, agent tracing, and evaluations. | ![GitHub Badge](https://img.shields.io/github/stars/Helicone/helicone.svg?style=flat-square) | +| [llm.log](https://github.com/lanesket/llm.log) | Local MITM proxy with TUI dashboard for monitoring LLM API calls — token usage, real costs, latency and full request inspector. Zero code changes, single binary, pure Go. Supports OpenAI, Anthropic and OpenRouter. | ![GitHub Badge](https://img.shields.io/github/stars/lanesket/llm.log.svg?style=flat-square) | | [Traceloop OpenLLMetry](https://github.com/traceloop/openllmetry) | OpenTelemetry-based observability and monitoring for LLM and agents workflows. | ![GitHub Badge](https://img.shields.io/github/stars/traceloop/openllmetry.svg?style=flat-square) | [Langfuse 🪢](https://langfuse.com) | Open-source LLM observability platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications. | ![GitHub Badge](https://img.shields.io/github/stars/langfuse/langfuse.svg?style=flat-square) | | [whylogs](https://github.com/whylabs/whylogs) | The open standard for data logging | ![GitHub Badge](https://img.shields.io/github/stars/whylabs/whylogs.svg?style=flat-square) |