AmberTrace is an observability platform for LLM-powered agents. It captures requests, responses, token usage, latency, errors, and provider details across OpenAI, Anthropic, and Google so AI engineers can replay trajectories, investigate failures, and control costs.
AmberTrace sits in PulseGate's LLM eval & observability category. It focuses on debugging silent failures, token waste, and incorrect behavior in LLM-powered agents. It is built as a B2B product for AI engineers and developers building LLM agents. AmberTrace is paid. It runs on the web and the command line.
AmberTrace first shipped in 2026. Among its 10 catalogued features are LLM call tracing, trajectory replay, and token tracking. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do