One platform for seeing, steering, and proving what your agents do.

Ship a single SDK and get a full timeline for every run: prompts, tool arguments, model outputs, errors, and latency. When something looks off, you scroll to the exact step instead of grepping logs across three systems.

Search and filter by agent, user, session, or outcome so support and engineering share one source of truth. That is the baseline for everything else—guardrails and audits sit on top of the same events.

Define policies that matter in production: spend caps, allowed tools and APIs, structured output checks, and content rules. Enforcement happens at runtime while the run is still in flight—not only after the fact in a batch job.

Policies are versioned and attributable, so when you tighten a rule you know who changed it and when. That keeps security and platform teams aligned as agents evolve weekly.

Compliance and risk teams need immutable evidence: what the agent was told, what it did, and which policy applied. Guardonic stores the decision graph so you can answer “what happened last Tuesday?” without reconstructing state from scattered application logs.

Export and retention hooks are built for organizations that already have a SIEM or data warehouse—you own the narrative for regulators and customers without bolting on a second logging stack.

Replay production runs with tweaked inputs or policy drafts before you roll them out. Catch regressions when you change a prompt, swap a model, or tighten an allowlist—without risking real users or spend.

We are building this on the same trace format as live observability so sandboxes stay faithful to what actually happened in your stack.