Tag
8 entries tagged with #observability.
Tools for seeing what your agents, services, and infrastructure are actually doing - token spend, runtime state, traces, and metrics.
Interactive terminal dashboard that breaks down where your AI coding tokens actually go. Surfaces the chat-vs-tool-use split most users get wrong.
Rust TUI that monitors Claude Code and Codex sessions: token spend, context window, rate limits, and ports in real time. Like btop but for agent runtimes.
MCP server that lets agents query and analyze Prometheus metrics through a standardized tool interface. Useful for ops-aware coding agents.
Watch your Claude Code, Codex, and OpenCode sessions from a tiny Go TUI. Shows what each agent is doing, no SaaS dashboard needed.
Watch your Claude Code agents think, branch, and coordinate as they run. Live visualization of subagent trees and tool calls in the browser.
End-to-end platform for evaluating, observing, and improving LLM and agent apps. Tracing, evals, simulations, datasets, and prompt management in one project.
Build, deploy, and scale MCP servers with auth, observability, debugging, telemetry, and a runtime baked in. Skips the per-server boilerplate.
Fast, remote-first log viewer that tails multiple SSH targets at once and renders a histogram timeline. No central log server required.