Real-Time Agent Observability Platform
Sergiu Nicoara
Real-Time Agent Observability Platform
A real-time agent monitoring platform that gives engineering teams full visibility into every agent span, from token counts to trace waterfalls. Once you deploy an agentic AI system you're flying blind: token usage, latency, and failure points are invisible without purpose-built instrumentation. This fills that gap.
Architecture
A gRPC streaming pipeline (grpcio-aio + Envoy) ingests span events from instrumented agents with sub-second latency. An exportable Python SDK (
AgentTracer) wraps any agentic workflow with a context-manager API: zero-friction instrumentation with no changes to agent logic.What it tracks per span
Token counts (input, output, total)
Latency per agent step
Outcomes and error states
Full trace waterfall across multi-agent runs
Security and access control
Auth layer uses OIDC (Authorization Code Flow + PKCE) with attribute-based access control (ABAC). Clearance level, department, and ownership policies enforced per span at query time. Redis for PKCE state and session revocation.
Frontend
React/TypeScript dashboard with live token usage charts and a span waterfall trace viewer.
Stack: Python, FastAPI, gRPC, React, TypeScript, PostgreSQL, Redis, OpenTelemetry, Docker.
Like this project
Posted Jun 9, 2026
gRPC streaming pipeline with a Python SDK for zero-friction agent instrumentation. Token tracking, trace waterfalls, and OIDC/ABAC security per span.
