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.