Real-time visibility into your AI spending. Monitor costs, track budgets, analyze token usage, and optimize your LLM API expenses with comprehensive dashboards and intelligent alerts.
Everything you need to monitor and optimize your LLM spending
Monitor spending as it happens with instant updates on every API call. Know your costs in real-time.
Set monthly, weekly, or daily budgets with automatic tracking and projections to stay on target.
Get notified when spending approaches budget limits, spikes unexpectedly, or hits custom thresholds.
Detailed breakdowns by provider, model, endpoint, user, and time period for deep insights.
Track prompt tokens, completion tokens, and total consumption with cost-per-token analysis.
Generate detailed cost reports for stakeholders with scheduled delivery and custom formats.
# Fetch cost analytics from your LLM proxy from llm_proxy.cost import CostTracker tracker = CostTracker(api_key="your-api-key") # Get daily cost breakdown daily_costs = tracker.get_daily_costs( start_date="2025-03-01", end_date="2025-03-17" ) for day in daily_costs: print(f"{day.date}: ${day.total_cost:.2f} ({day.tokens} tokens)") # Get cost by provider provider_costs = tracker.get_costs_by_provider() # Returns: {"openai": 2450, "anthropic": 1546, "google": 484} # Set budget alert tracker.set_budget_alert( monthly_limit=25000, alert_thresholds=[0.5, 0.75, 0.9], notification_email="team@company.com" )
Track costs while ensuring PII protection across all API calls.
Cost-optimized routing to automatically select the most affordable provider.
Reduce costs by caching repeated responses and avoiding duplicate API calls.
Correlate costs with specific requests for detailed attribution and analysis.
Implement comprehensive cost tracking and optimize your LLM spending with real-time dashboards and intelligent alerts.