Developer Tools●●●Banger
Spendtrace, Feature-level AWS cost attribution (found a 17× gap))
One decorator reveals which feature burned $2,800 instead of two-day forensics.
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233mo ago
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GitHub Repository
SDK to track cost-per-outcome for AI workflows
16 starsPython
Cost per Outcome for AI Workflows
by deborahjacob·Feb 24, 2026·4 points·4 comments
AI Analysis
●●SolidSolve My ProblemBig Brain
Cost attribution per event via OpenTelemetry, but Anthropic Workbench and Vercel do this already.
Strengths
- •Event-level cost tracking (not sampled) solves outcome-based pricing math that startups need today.
- •OpenTelemetry native means zero custom logging; auto-instrumentation for 50+ libraries reduces boilerplate.
- •Environment-variable config eliminates hardcoded API keys and cross-service coordination friction.
Weaknesses
- •Requires external OpenTelemetry Collector for production; adds infrastructure burden vs managed alternatives.
- •Positioned for AI platforms, but unclear how it compares to built-in cost tracking from Anthropic, OpenAI console.
Category
Target Audience
AI platform builders, SaaS founders tracking per-customer AI costs
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Anthropic Workbench · Vercel AI cost tracking · LangSmith
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