Browse the directory

Instrument AI agent systems with high-signal telemetry and runbook-driven incident response for reliability and safety.

Design and validate model routing strategies that reduce cost and latency while preserving output quality.

Open-source semantic cache for LLM applications that stores and reuses model responses through embedding similarity to cut API cost and latency, with modular embedding, vector-store, cache-storage, and eviction components.

A Claude Code statusline that reads the session JSON on stdin and splits total_duration_ms into API processing time versus network/waiting time (total minus API).

Claude Code session health aggregator providing A-F grade based on cost efficiency, latency performance, productivity velocity, and cache utilization with actionable recommendations.

Multi-provider AI performance dashboard with context occupancy tracking, truncation warnings, TTFT latency, tokens/min rate, and model comparison metrics.

Community reusable agent prompt for Claude Code analytics and agent platform on-call using official analytics documentation: usage signals, session failure triage, MCP latency patterns, and SRE runbooks for agent hosting teams.

Community reusable agent prompt for analyzing OpenTelemetry traces from agent hosts using official trace signal documentation: span hierarchy review, latency attribution, error propagation, and privacy-safe instrumentation recommendations.

Source-backed agent that reduces token cost and latency in Claude Code by improving prompt-cache hit rates, advising on stable context ordering, lean CLAUDE.md, on-demand skills, and MCP tool-search, grounded in the official docs.

Official LiveKit Agent Skills for AI coding agents building low-latency voice AI, LiveKit Agents workflows, handoffs, mandatory tests, and simulation scenario suites.