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← Series Blueprint/STAGE 2: MONITOR & OBSERVE

Part 2: Monitor & Observability — Org-Wide Usage, Team Attribution & Real-Time Auditing

How engineering leaders transform raw AI interaction logs into live departmental spend attribution, centralized LLM Gateway credential control, and tamper-evident compliance audit trails.

Stage 2 Principle: Eliminate the Spend and Credential Blindspot

Raw capture is meaningless without organizational structure. Monitor and attribute usage by team, model, and codebase repository to control budgets and secure provider credentials.

1. The Enterprise LLM Gateway: Governed API Access

Direct developer API keys create severe leak and unmanaged billing risks. ReclaimLLM's Enterprise LLM Gateway replaces unmanaged keys with a centralized governance proxy:

  • Central Provider Vault: Store OpenAI, Anthropic, Gemini, and Azure OpenAI master credentials centrally. Master keys never touch developer laptops.
  • Team-Scoped Gateway Keys: Issue keys restricted by team, rate limits, and model policy whitelists.
  • Automatic Request Attribution: Every call is tagged server-side with durable org, team, and project metadata.

2. Enterprise Observability Dashboard Tabs

Backed by PostgreSQL materialized views refreshed automatically every 15 minutes, the enterprise portal provides five dedicated observability surfaces:

USAGE TABTime-series trend charts for sessions and tokens by category and model group.
TOKENS TABSpend and consumption breakdown by project, team, developer, or model vs org medians.
STATS TABDeepest per-user and per-file activity breakdown with tool execution analytics.
SESSIONS TABFilterable raw session list—the drill-down destination behind every metric spike.
API KEYS TABAdmins configure provider credentials and issue team-scoped gateway keys.
SETTINGS TABOrg data retention, session sharing rules, encryption keys, and SSO configuration.

3. Role-Based Access Control (RBAC) & Code Review Sharing

ReclaimLLM separates permissions into three clean roles:

  • Admin: Manages org members, teams, provider credentials, and global data retention policies.
  • Team Lead: Observes spend attribution, usage charts, and session drill-downs for their assigned team.
  • Developer: Full access to personal session memory, search, and personal efficiency statistics.

Developers can also generate expiring, email-bound links to captured sessions during pull request code reviews, giving team leads verified execution diffs.

← Stage 1: CaptureContinue to Stage 3: Analyze & Optimize →