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📊 llm.report is an open-source logging and analytics platform for OpenAI: Log your ChatGPT API requests, analyze costs, and improve your prompts.

This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT-4 LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

The only fully local production-grade Super SDK that provides a simple, unified, and powerful interface for calling more than 200+ LLMs.

🕵️‍♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.

Open-source framework that gives you AI Agents that help you navigate decision-making, get personalized goals and execute them

Unified CLI for running AI coding agents in isolated containers. Includes built-in local metrics collection, HTTP traffic tracking, and an analytics dashboard to track agent actions.

[deprecated] AI Gateway - core infrastructure stack for building production-ready AI Applications

[deprecated] AI Gateway - core infrastructure stack for building production-ready AI Applications

Agent and LLM API performance monitoring via network packet probe. Measures performance of OpenClaw, Claude, Codex, DeepAgents and more — deployed on the provider side, no SDK changes required.

Lightweight cost observability for every API call in your stack. Track LLM tokens, database ops, and external services from your terminal.

The AI agent memory layer you can audit — local-first memory governance for AI agents: citations, trust policies, trace receipts, rollback. SQLite, sidecar-first, OpenClaw plugin.

Diff your AI agent's behavior between two runs. See exactly which tool calls, args, costs and outputs changed when you swap models or edit prompts.

Local-first observability dashboard for AI agents. MCP-native. Look at every span your agents emit.

Local-first DevTools for AI calls. See every LLM call your app makes: prompt, cost, tokens, latency, tool calls.

Grafana-native LLMOps dashboards for FinOps, agents, quality and AI governance, generated and visually verified.