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Fresh curated links around OpenLLMetry are collected here so marketers can spot useful updates and turn timely ideas into posts faster.
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OpenTelemetry LLM metrics taxonomy: every GenAI metric name, instrument, unit and bucket, what v1.41.0 released, what main renamed since, and what to emit.
LlmCostTracker tracks LLM spend and budgets in a Rails app by user, feature, or any tag, in your own database and with no proxy.
Your AI feature gave someone a bad answer and your logs cannot tell you why. One line of setup records the model, the settings and every step of the request, so next time you can j...
LLMCostTracker records the LLM calls your Rails app makes through RubyLLM, the official OpenAI and Anthropic SDKs or Faraday into your own database: priced per call, tagged by user...
The best LLM visibility tracking tools for 2026, including OpenLens for agency multi-client dashboards, Amplitude's free AI visibility checker, Ahrefs Brand Radar, and GEO Toolbox.
Compare 11 AI observability tools for LLM tracing and monitoring in 2026: tracing model, OpenTelemetry support, self-hosting, and which tools changed owners.
llm_cost_tracker is self-hosted LLM cost tracking for Rails: every call through RubyLLM, the OpenAI and Anthropic SDKs, Gemini, or any OpenAI-compatible API is logged with tokens,...
11 LLM evaluation tools compared for 2026: what each one measures, where it fits in the lifecycle, and how to pick one for your architecture and privacy needs.
LLM prompt monitoring links every production trace to the prompt version behind it. Learn the trace fields, signals, alert rules and triage for a regression.
LLM security explained: the OWASP Top 10 for LLM Applications 2026, how it differs from LLM safety, and one test per risk with the evidence that decides it.
llm_cost_tracker is a Rails engine that records what your app spends on LLM APIs - per call, per model, per tag - into your own database, with a mounted dashboard.
Every guide gives you a table of speeds from hardware you do not own. This one builds a small tool that measures your own machine instead, then explains what the numbers mean.
Why we did this at all For most of the last decade our metrics pipeline ran on gostatsd, the open-source StatsD implementation we maintain. It primarily did two jobs: as sidecar on...
Originally published on hexisteme notes. I had an LLM telemetry report with the usual reassuring furniture: medians, interquartile ranges, sample sizes, and bootstrap intervals. T...
NVIDIA has released Switchyard, an Apache-2.0 Rust proxy and library for LLM traffic. It decodes requests into provider-neutral types, routes them with passthrough, random, LLM-cla...
Originally appeared on Carmine Paolino.RubyLLM 2.1 is out. I released it on stage at Deccan Queen on Rails in Pune. It builds on 2.0 and adds an MCP client, typed judgments, evalu...
llm.rb is an advanced runtime for building agentic AI applications on CRuby. It has zero runtime dependencies by default, supports concurrent and parallel tool execution and has a...
テレメトリをガバナンスの効いたエンタープライズデータ資産に変える方法をご紹介します。Observe by SnowflakeとSnowflake AI Data Cloudが、アナリティクスとAIのために運用シグナルとビジネ...
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