ai-observability-engineer

What problem does it solve?

Instrument AI-native observability signals for probabilistic workflows to improve debugging, governance, and reliability beyond traditional logging.

Core Features & Use Cases

• End-to-end traces across model calls, prompts, tool use, and output validation to identify failure points.
• Telemetry signals for quality, latency, cost, refusals, and error classes, with privacy-conscious redaction.
• Guidelines for privacy-preserving logging, retention strategies, and governance compliance.
• Use Case: Production agents requiring rapid root-cause analysis and audit-ready telemetry.

Quick Start

Configure the agent to emit end-to-end telemetry across prompts and tool actions during a pilot run.