Forensics & Replay
Post-incident analysis, routing replay, and proof-of-death records for terminated agents.
Overview
BrainstormRouter records every routing decision and agent termination event, enabling post-incident forensic analysis and "what-if" strategy simulation.
Two subsystems power this:
- Routing Replay — records every model routing decision (model, provider, cost,
latency, strategy) and lets you simulate alternative strategies against real traffic.
- Forensic Snapshots — proof-of-death records captured when an agent is terminated,
including anomaly score, violated rules, blast radius, and active mesh connections.
Routing replay
Every request through BrainstormRouter records the routing decision: which model was selected, which provider served it, the strategy used, token counts, latency, and cost.
List decisions
Retrieve recent routing decisions for analysis:
const { decisions, count } = await client.replays.decisions({
limit: 100,
since: "2026-03-01T00:00:00Z",
});
for (const d of decisions) {
console.log(`${d.model} via ${d.provider} — $${d.costUsd} in ${d.latencyMs}ms`);
}
Simulate alternative strategies
Answer "what would this week have cost with a different strategy?":
const result = await client.replays.simulate({
strategy: "price",
since: "2026-03-01T00:00:00Z",
});
console.log(`Actual cost: $${result.actual.total_cost_usd}`);
console.log(`Simulated cost: $${result.simulated.total_cost_usd}`);
console.log(`Savings: $${result.simulated.cost_savings_vs_actual}`);
Available strategies: quality, price, latency, throughput, cascade, priority.
Compare strategies
Compare all strategies used during a period side-by-side:
const { strategies } = await client.replays.compare({
since: "2026-03-01T00:00:00Z",
});
for (const s of strategies) {
console.log(
`${s.strategy}: $${s.total_cost_usd}, ${s.avg_latency_ms}ms avg, p95 ${s.p95_latency_ms}ms`,
);
}
Forensic snapshots
When an agent is terminated (via lifecycle transition, delegation reclaim, or anomaly detection), BrainstormRouter captures a forensic snapshot — a proof-of-death record containing the agent's state at the moment of termination.
Each snapshot includes:
| Field | Description |
|---|---|
agentId | The terminated agent's identifier |
spiffeId | SPIFFE identity (if mTLS was active) |
anomalyScore | Anomaly detection score at termination (0.0-1.0) |
severity | Severity level: low, medium, high, critical |
violatedRules | Security policy rules that were violated |
blastRadius | Number of affected agents and impact score |
activeConnections | Upstream and downstream mesh connections at termination |
details | Additional context (triggering payload, principal claims) |
Viewing snapshots
Via the SDK (requires a user JWT, not an API key):
const { snapshots } = await client.security.forensicSnapshots();
for (const snap of snapshots) {
console.log(
`${snap.agentId} terminated — severity: ${snap.severity}, score: ${snap.anomalyScore}`,
);
console.log(` Rules violated: ${snap.violatedRules.join(", ")}`);
console.log(` Blast radius: ${snap.blastRadius.agentCount} agents`);
}
Via the dashboard: Governance > Forensic Snapshots tab shows a table of all snapshots with click-to-expand detail view including SPIFFE ID, active connections, and raw details payload. Each snapshot detail view includes an Export JSON button that downloads the full snapshot as a structured JSON file for case archival or compliance handoff.
MCP tools
Both subsystems are available as MCP tools for agent self-inspection:
br_replay_decisions— list recent routing decisions (requiresaudit.read)br_forensic_snapshots— list forensic snapshots (requiressecurity.read)
Use cases
- Cost optimization — simulate
pricestrategy against last month's traffic to
quantify potential savings before switching.
- Post-incident analysis — review forensic snapshots to understand why an agent
was terminated, what rules it violated, and what blast radius resulted.
- Strategy validation — compare actual routing decisions against alternatives to
confirm the chosen strategy is optimal.
- Compliance auditing — forensic snapshots provide tamper-evident termination
records for regulatory compliance.
Case export
BrainstormRouter supports exporting forensic data for case management and compliance:
- Dashboard export — the Forensic Snapshots detail view includes an "Export JSON"
button that downloads the complete snapshot (agent ID, anomaly score, violated rules, blast radius, active connections, and raw details) as a structured JSON file.
- SDK export — retrieve snapshots programmatically via
client.security.forensicSnapshots()
and serialize to your case management system.
- Replay export — combine
client.replays.decisions()with forensic snapshots to
build a complete incident timeline: what routing decisions led up to the anomaly, what rules were violated, and what the blast radius was.
Today, case export is snapshot-based: each forensic snapshot is a self-contained proof-of-death record. Cross-referencing with replay decisions requires correlating timestamps manually. A future release will add a unified incident timeline API that joins replay decisions, memory mutations, and forensic snapshots into a single chronological view.