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LLM Cost

The LLM Cost screen at app.igrisecurity.com/llm-cost shows spending analytics for all requests processed by the Igris LLM gateway. Cost data is derived from the costCents, tokensIn, tokensOut, model, and provider fields recorded on each llm_call audit event.

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Time range

A segmented control in the page header selects the reporting window:
OptionWindow
24hLast 24 hours
7dLast 7 days (default)
30dLast 30 days
90dLast 90 days
All panels update when the range changes.

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Summary KPIs

Two rows of KPI cells appear at the top of the page. Primary metrics:
KPIDescription
Total SpendSum of costCents across all LLM calls in the period, displayed in USD
Avg Cost/CalltotalCents ÷ totalCalls
Total CallsCount of llm_call audit events in the period
Active ProvidersNumber of distinct providers with at least one call
Token metrics:
KPIDescription
Input TokensSum of tokensIn
Output TokensSum of tokensOut
Avg Tokens/Call(totalTokensIn + totalTokensOut) ÷ totalCalls

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Spend over time

A stacked bar chart plots daily spend in USD, with each provider as a separate series. The x-axis is date-bucketed by date_trunc('day', timestamp). Hover a bar to see the dollar breakdown per provider for that day. This chart only renders when there is at least one data point in the selected range.

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Top models by spend

A horizontal bar chart listing the top 10 models ranked by total costCents. Each bar shows the model identifier and formatted spend. The widest bar represents 100 %; all others are proportional.

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Top connections by spend

A horizontal bar chart listing the top 10 connection slugs ranked by total costCents. Useful for identifying which integrations are driving the most spend.

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Avg cost per call by connection

A horizontal bar chart ranking connections by their average cost per call (rather than total spend). This surfaces connections that use expensive models infrequently — connections that “Top Connections by Spend” can miss when they are outranked by high-volume, low-cost connections. The label for each bar includes the connection slug and its total call count.

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Token usage by model

A horizontal bar chart ranking models by combined token consumption (tokensIn + tokensOut). Helps identify which models are the largest token consumers regardless of unit price.

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API

MethodPathDescription
GET/api/v1/llm-cost/summary?range=7dAggregated totals, top models, top connections, avg-cost ranking
GET/api/v1/llm-cost/timeseries?range=7dDaily spend per provider for the stacked bar chart
range accepts 24h, 7d, 30d, or 90d. Defaults to 7d.

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Summary response shape

{
  "totalCents": 1234,
  "totalCalls": 980,
  "totalTokensIn": 450000,
  "totalTokensOut": 120000,
  "topModels": [
    { "model": "claude-3-5-sonnet-20241022", "cents": 800, "calls": 600, "tokensIn": 300000, "tokensOut": 80000 }
  ],
  "topConnections": [
    { "slug": "prod-gateway", "cents": 950, "calls": 750 }
  ],
  "connectionsByAvgCost": [
    { "slug": "premium-agent", "avgCents": 42.5, "calls": 12 }
  ],
  "range": "7d"
}

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Timeseries response shape

[
  { "date": "2026-06-20T00:00:00.000Z", "provider": "anthropic", "cents": 120, "calls": 90 },
  { "date": "2026-06-20T00:00:00.000Z", "provider": "openai", "cents": 45, "calls": 30 }
]