Traccia

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About 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. The platform supports end-to-end tracing of LLM calls, tool usage, and agent decisions, enabling accurate cost attribution and token tracking. Policy monitoring and enforcement features allow organizations to set guardrails that can hard-block agents mid-execution when violations occur. Traccia includes a prompt registry for versioning and evaluating prompts against datasets, along with compliance evidence export for regulatory requirements like EU AI Act and HIPAA. The system integrates with frameworks such as LangChain, CrewAI, OpenAI Agents SDK, AutoGen, and LlamaIndex without requiring code changes.

Key features

Unified Agent Registry
End-to-end OpenTelemetry tracing
Policy monitoring and enforcement
PII and sensitive data detection
Prompt registry and evaluation
Cost and token attribution
Compliance evidence export
Anomaly detection

Use cases

Monitoring production AI agents across environments
Enforcing governance policies and spending limits
Evaluating and promoting prompt versions

Pros

Unified registry for all agents across frameworks
Real-time health monitoring and cost attribution
Policy enforcement with hard-blocking capabilities
Compliance evidence export for regulatory standards
OpenTelemetry-native tracing

Cons

No free tier beyond hobby plan
Pricing based on event volume with overage fees
Limited retention on lower tiers (7-90 days)
Enterprise plan required for advanced analytics

Frequently asked questions about Traccia

What does Traccia do?

Who is Traccia designed for?

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.

How does Traccia handle policy enforcement?

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.

Does Traccia support compliance reporting?

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.

Can Traccia track costs and token usage accurately?

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.

How do I get started with Traccia?

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.