Published by Algen AI
Traccia is an AI agent observability, monitoring, and governance platform designed to help teams trace, monitor, and control AI agents in production. It provides end-to-end tracing for LLM applications and agents, giving visibility into decisions, tool calls, model interactions, errors, latency, and execution behavior across frameworks such as LangChain, CrewAI, OpenAI Agents SDK, AutoGen, and LlamaIndex.
The platform includes a unified agent registry for tracking agent inventory, ownership, versioning, environments, and health status. It also supports cost and token attribution, helping teams understand which agents, tasks, or models are driving LLM usage and spend. Additional capabilities include policy monitoring and runtime enforcement, with guardrails for restricted models, tool use, spending limits, and other governance rules.
Traccia also supports PII and sensitive data detection to help identify potential exposure in agent traces before data is exported. For compliance-focused workflows, it includes EU AI Act evidence features such as audit trails, human-review support, and exportable compliance artifacts. As an OpenTelemetry-native platform, Traccia is built to integrate with existing observability workflows and can be used for AI agent tracing, monitoring, governance, and lifecycle management in a production environment.
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