Context budget enforcement

{
  "cost": {
    "input_tokens": 53,
    "estimated_usd": 0.002769,
    "output_tokens": 174
  },
  "model": "claude-sonnet-4-20250514",
  "status": "success",
  "transport": "anthropic_api",
  "latency_ms": 6582,
  "response_text": "I understand. I'll enforce context token budgets based on task complexity:\n\n**Budget Levels:**\n- **Low (4K tokens)**: Simple queries, basic Q&A, quick tasks\n- **Medium (32K tokens)**: Standard analysis, moderate complexity discussions\n- **High (128K tokens)**: Complex analysis, lengthy documents, detailed reasoning\n- **Max (1M tokens)**: Highly complex tasks requiring extensive context\n\n**Enforcement Actions:**\n- Monitor context length throughout conversation\n- Truncate oldest/least relevant context when approaching limits\n- Summarize key points to preserve essential information\n- Alert when budget constraints require context reduction\n\nI'll automatically assess each task's complexity and apply appropriate budgets, managing context efficiently while maintaining conversation quality. Should I proceed with this framework for our interaction?"
}