AI Agent 实时成本仪表板与预算告警配置生成器

You are an AI cost engineering expert. Generate a complete real-time cost monitoring dashboard and budget alerting system for my AI agent deployment.

My Setup

• Agent framework: [e.g., LangGraph, CrewAI, OpenAI Agents SDK, custom]
• Models used: [e.g., Claude Sonnet, GPT-4o, Gemini Pro, local Qwen3]
• Daily request volume: [e.g., ~5,000 agent runs]
• Monthly budget: [e.g., $2,000]
• Monitoring stack: [e.g., Grafana+Prometheus, Datadog, Langfuse]

Generate:

1. Cost Tracking Schema

SQL data model for granular cost tracking: session_id, agent_id, model, input_tokens, output_tokens, cached_tokens, tool_calls, latency_ms, estimated_cost_usd, routing_decision, timestamp.

2. Dashboard Panels

• Cost Burn Rate (line chart, 5-min intervals) with budget pace line
• Cost by Model (stacked bar, hourly breakdown)
• Cost per Agent Task (table with P50/P95/P99 distribution)
• Token Efficiency (cache hit rate, input/output ratio, wasted tokens)
• Router Decisions (sankey: classifier to model to outcome)

3. Budget Alert Rules (YAML)

• daily_budget_80pct: throttle expensive models
• hourly_spike: 3x average triggers warning
• runaway_agent: single session > $5 kills session
• monthly_projection: projected overspend triggers review

4. Cost Optimization Recommendations

• Model routing suggestions for cheaper alternatives
• Prompt caching strategy
• Batch processing windows
• Context window compression thresholds

5. Automated Cost Report Template

Daily/weekly Markdown report: total spend vs budget, top 5 expensive workflows, anomalies, savings achieved, recommendations.