AI Cost Board
Back to blog
Operationshow-to2026-03-01•7 min read•Reviewed 2026-03-01

LLM Cost Tracking Setup Tutorial: From Zero to Dashboard

Setting up LLM cost tracking should take minutes, not days. Many teams delay monitoring because they think it requires complex instrumentation, SDK integration, or infrastructure changes. With modern tools like AI Cost Board, you can go from zero visibility to a full cost dashboard in under 15 minutes using just your existing API keys. Here is the step-by-step process.

Key Takeaways

  • Use project-level visibility to link AI usage with product outcomes.
  • Track spend, latency, errors, and request logs together to make stronger decisions.
  • Apply alerts and operational guardrails before traffic volume scales.

Proof from the product

Real UI snapshot used to anchor the operational workflow described in this article.

LLM Cost Tracking Setup Tutorial: From Zero to Dashboard supporting screenshot

Step 1: Connect your API keys

Start by connecting your LLM provider API keys to AI Cost Board. Navigate to the provider integrations page and enter your keys for OpenAI, Anthropic, Google Gemini, or any supported provider. The platform immediately begins tracking all API calls made with these keys — no code changes, no SDK integration, no proxy setup required.

Step 2: Organize projects and workspaces

Create project workspaces that match your organization structure. Common approaches: one workspace per application, per team, or per environment (staging vs production). Assign API keys to the appropriate workspaces. This enables cost attribution — you will see exactly which project or team drives each dollar of AI spend.

Step 3: Configure budget alerts

Set up budget alerts before costs surprise you. Configure alerts at three thresholds: 50% of budget (informational), 80% of budget (warning), and 100% of budget (critical). Set alerts per project, per provider, or at the organization level. Choose notification channels — email, Slack, or webhooks. Budget alerts are the single most valuable feature for preventing overspending.

Step 4: Review your cost dashboard

Within minutes of connecting API keys, your dashboard shows: total spend by provider, cost breakdown by model, usage trends over time, per-project attribution, and cost-per-request metrics. Use these views to establish baseline spending patterns. Review the dashboard daily for the first week to understand your normal cost patterns, then weekly for ongoing governance.

Step 5: Share with your team

Invite team members to the dashboard with appropriate access levels. Engineering leads see detailed per-request metrics. Finance sees aggregated cost reports. Set up automated weekly cost reports delivered via email. Create shared views for stakeholder reviews. Cost transparency across the organization prevents the common pattern of engineering and finance discovering AI costs only at quarter-end.