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    An Algen Product

    The control plane
    for AI agents.

    Traccia is what happens after the workflows Algen builds go into production — infrastructure to observe what agents did, evaluate how well they did it, and govern what they're allowed to do.

    AI agents don't just generate outputs anymore. They access systems, use tools, make decisions, and take actions on their own. The question stops being "what did the agent say" and becomes "should this agent be allowed to do this, right now."

    THE CONTROL PLANE

    Observe. Evaluate. Govern. Control.

    Four capabilities, built around the agent — regardless of which framework it runs on.

    Observe

    The complete trajectory of an agent's work — every model call, tool use, and multi-step decision, reconstructable end to end.

    Evaluate

    Quality, correctness, risk, and regressions measured before and after deployment — not discovered after something breaks.

    Govern

    What each agent is allowed to do, for whom, and with what authority — defined as centrally managed, versioned policy.

    Control

    Policy enforced at the moment an agent acts, not after the fact. Policies make decisions; enforcement makes those decisions real.

    WHERE IT FITS

    Built into every workflow Algen delivers.

    Traccia isn't a bolt-on dashboard. It's the layer that makes the AI-native workflows Algen designs and builds observable, evaluable, and governable once they're running in production — framework-agnostic, OpenTelemetry-native, and already recognized in the OpenAI Agents SDK docs as an external tracing processor.

    Algen redesigns & builds AI-native workflows
    Agents run the workflow in production
    Traccia observes, evaluates, governs & controls what they do
    Traccia agent control pipeline from identity and execution through evidence, evaluation, policy, and control
    pip install traccia

    Building agents that need to be trusted in production?