heady-observability-mesh

Official

Unify AI observability across LLMs and traces.

AuthorHeadyAI
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Unified AI observability across Langfuse tracing, Sentry error tracking, and OpenTelemetry distributed tracing for the Heady ecosystem.

Core Features & Use Cases

  • Trace correlation: single correlation_id propagated from the edge through Cloud Run, Neon, Upstash, and LLM providers to unify end-to-end traces.
  • OpenTelemetry per-stage spans: 21 HCFP stages wrapped with phi-aware timing and tags for governance-level observability.
  • Langfuse tracing & cost analytics: per-LLM-call tracing, token accounting, and provider-cost aggregation.
  • Sentry error tracking with CSL: automatic classification and tagging by Sacred Geometry context for proactive alerting.
  • Coherence scoring & alerts: phi-weighted coherence across latency, errors, and cost with threshold-based alerts.
  • Health and API surface: /health, /trace/llm, /coherence, and /cost endpoints for operational visibility.

Quick Start

Integrate the heady-observability-mesh router into your service and verify readiness with the /health endpoint.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: heady-observability-mesh
Download link: https://github.com/HeadyAI/heady-context/archive/main.zip#heady-observability-mesh

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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