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il-audit — Intelligence Layer audit & analytics

Cross-app BigQuery audit logging for intelligence-layer-ingest, intelligence-layer-chat, and related services.

Full documentation: documentation/README.md

Install

pip install -e ../intelligence-layer-audit   # local
"il-audit>=1.0.0",                           # PyPI

See PUBLISHING.md for releases.

Quick start

from il_audit import emit, AuditContext, taxonomy as T

emit(T.AUTH_LOGIN_SUCCEEDED,
     context=AuditContext(app="ingest", actor_uid=uid, actor_email=email),
     status="succeeded", action="login")

Walkthrough: documentation/guides/getting-started.md. Target: auth_events.

Guides

Guide Topic
getting-started First emit, verify in BQ
integration Backend: middleware, jobs, domain emits
frontend-audit Browser: audit_beacon.js, data-il-audit-*
cost-rates cost_rates catalog
chat-phase2 Chat instrumentation

Reference

Doc Topic
bigquery-tables All tables, samples, console links
event-taxonomy Event types → tables
configuration IL_* env vars
architecture Data flow
cost-attribution Tokens, USD, correlation

Dataset: intelligence_layer_logs. Analytics views: analytics-views.md · sql/analytics_views.sql.

Ingest reference consumer: ingest audit-logging.

Metadata

Release files for il-audit 1.0.30

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