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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...
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.
RubyLLM::Modes is an extension for RubyLLM: before each chat turn, a router picks the instructions, tools, model, and thinking for that reply. The router uses Jev through the new R...
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...
llm.rb is an agentic runtime for building AI applications on CRuby. It supports 14 different providers, it has zero runtime dependencies by default, and it can execute tool calls o...
LM Studio has added Z.ai’s new GLM-5.3-Flash model to Bionic, its AI agent platform, bringing multimodal input, a 1 million-token context window, and significantly lower pricing th...
LlmCostTracker tracks LLM spend and budgets in a Rails app by user, feature, or any tag, in your own database and with no proxy.
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.
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...
TL;DR: MLOps tools help teams track experiments, automate pipelines, deploy models, and monitor performance. Tools such as MLflow, Kubeflow, BentoML, and Evidently AI support diffe...
ИИ всё чаще упирается не в качество промпта, а в то, что происходит дальше: как встроить модель в рабочий процесс, наблюдать за агентом, контролировать качество и понимать стоимост...
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...
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.
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,...
Prompt caching, model routing, RAG trimming and batching: a practical LLM cost optimization playbook that keeps quality intact.Continue reading on Medium »
Ollama pulls model weights, keeps an HTTP server on port 11434, and hands any client an OpenAI-shaped endpoint pointed at your own machine. Learn how to manage, configure, and opti...
ruby_llm-providers-lms 0.3.0 brings RubyLLM 2.1’s judgments to LM Studio. Point RubyLLM.judge or a RubyLLM::Judge class at a local decision model and get typed answers back in tens...
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