Traccia

Traccia provides a unified control plane for monitoring, evaluating, and governing AI agents across multiple frameworks. It offers real-time visibility into agent health, performance, and costs through a single dashboard, with end-to-end tracing of LLM calls, tool usage, and agent decisions.

Traccia is designed for organizations deploying AI agents in production environments, particularly those using frameworks like LangChain, CrewAI, OpenAI Agents SDK, AutoGen, or LlamaIndex. It suits teams needing governance, compliance, and cost control for AI systems.

Traccia enforces policies through a 3-tier guardrail system that includes explicit annotations, provider-native signals, and heuristics. Violations can trigger soft blocks (warnings) or hard blocks (stopping agents mid-execution), ensuring compliance with governance rules.

Yes, Traccia includes built-in compliance evidence export for regulatory requirements such as the EU AI Act and HIPAA Controls. It provides audit-ready packs with event spans, retention details, human review queues, and disclosure mechanisms.

Traccia offers accurate cost and token attribution across over 2,500 models, computed locally at span-end to ensure precision. It tracks input, output, and embedding tokens independently of sampling, maintaining 100% accuracy even with partial trace data.

Getting started with Traccia involves installing the SDK via a single `pip install traccia` command and initializing it with `traccia.init()`. The platform automatically syncs agents, traces their activity, and begins exporting data to the unified dashboard without requiring code changes.