Inferagate
AI Observability & Operations

See requests, responses, routing decisions, guardrails, and model behavior.

Give platform, security, finance, and engineering teams one operating view of AI traffic without exposing prompt content unnecessarily.

Traffic monitoring

Understand what the gateway is doing in production.

  • Monitor request volume, latency, provider health, error rates, and usage patterns.
  • Review route decisions, model activity, security violations, and audit events.
  • Use logs as the source of truth for investigation.
Telemetry export

Send operational signals into enterprise tools.

  • Export gateway telemetry into observability and SIEM platforms.
  • Track blocked prompts, DLP violations, injection attempts, policy violations, and suspicious activity.
  • Separate metadata, usage, health, policy outcomes, and prompt content controls.
Console areaLogs, Live traffic, Integrations, Usage
Primary usersOps, security, FinOps, support
OutcomeAI traffic with audit-ready visibility
Step by step

Investigate runtime behavior from traffic to evidence.

Open observability
Inferagate observability and runtime activity screen
  1. 01
    Open the activity view

    Start with logs, live traffic, or runtime analytics depending on whether you need history or now.

  2. 02
    Filter the signal

    Scope by provider, route, event type, status, source, time window, and policy posture.

  3. 03
    Inspect the row

    Open an event to review latency, route decision, provider health, guardrail outcome, and audit metadata.

  4. 04
    Export operational telemetry

    Send metadata, health, usage, and policy outcomes to SIEM, OTLP, or business reporting destinations.