Module · Hallucination Manager

Pre/post checks. Citation enforcement. Confidence scoring.

Catch hallucinations before they reach users. Configurable checks, mandatory citations, and confidence-based blocking.

Capabilities

What Hallucination Manager ships with.

  • Pre-inference checks

    Input validation, context-relevance scoring, and guardrails.

    Pre-flight pipeline All passed
    Input
    “Approve refund for order #1429 · ₹4,820”
    • Input validation
    • Context relevance 0.92
    • PII guardrail
    • Topic policy
    4 of 4 checks Policy
  • Post-inference checks

    Citation enforcement, factual grounding, and source verification.

    Output validation 3 citations
    Refund of ₹4,820 approved per RBI TAT rules1 and customer policy2.
    • Citations attached 2/2
    • Factual grounding 0.94
    • Sources verified RBI · policy
    Passed in 1.2s Inspect
  • Confidence scoring

    Per-output confidence score with policy-driven blocking thresholds.

    Confidence Block < 0.70
    0.87 Pass
    • 12:42 · refund 0.91
    • 12:41 · KYC 0.88
    • 12:39 · escalation 0.62 ×
    12 decisions / min History
  • Replay & forensics

    Every blocked output replayable for tuning and reporting.

    Blocked output Blocked
    trace · 4a91-2c 12:39:08

    “The interest rate for this loan is approximately 8.4% based on standard market rates…”

    Unsourced claim · grounding failed
    Replay Add citation Tune
    1 of 8 blocked today Forensics
Integrates with

Plays nicely with the rest of the platform.

  • Orchestration

    Guardrails inline at every routing decision, not just at the edges.

  • Audit Trail

    Blocked outputs flow into the chain for regulator-ready forensics.

  • Observability

    Every confidence score and citation is traced and queryable.

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