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Multi-Harness AI Agents Need Multi-Layer Observability: Omnigent in MLflow

Omnigent is a multi-harness AI agent orchestrator that unifies interfaces across tools like Claude Code, Codex, Cursor, and Pi into a single layer. Its MLflow Tracing integration provides automatic observability across all agent harnesses with no code changes — just install the optional MLflow dependency, set an OTLP endpoint, and run. This captures agent turns, tool invocations with arguments and timing, per-turn token consumption, and session metadata. With unified traces, teams can compare models across harnesses, A/B test MCP providers, and analyze workflow efficiency to ship faster at lower cost.

    #machine-learning#ai-agents#observability
Jul 03•5m read time•From mlflow.org
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The Visibility Gap ​One API, Many Harnesses ​Automatic Tracing Without Code Changes ​What You Can Do With This ​Closing the Gap ​
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