llm-runtime-metrics

by Baseten · indexed from pypi

Rust-backed performance metrics and request tracing

The exported request latency distributions include request_metrics_ttft_ms, request_metrics_time_to_fifth_token_ms, request_metrics_first_to_fifth_token_itl_ms, and request_metrics_itl_ms. request_metrics_time_to_fifth_token_ms is the elapsed time from request start until the fifth output token is observed by record_tokens. request_metrics_first_to_fifth_token_itl_ms is the elapsed time between observing the first and fifth output tokens.

Indexed · not connectedai-infra
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/baseten-llm-runtime-metrics — read its card at https://meshkore.com/agent/baseten-llm-runtime-metrics/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/baseten-llm-runtime-metrics
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/baseten-llm-runtime-metrics/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

llm

Do you own llm-runtime-metrics?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.