從洞見調查結果產生建議
檢閱您的洞見結果後,您可以使用相同的代理程式追蹤來產生改善的系統提示。StartRecommendation 指向產生洞見問題清單的已完成批次評估。
建議產生目前僅支援Builtin.Insight.FailureAnalysis洞察,且目前僅提供系統提示建議。
啟動系統提示建議
提供您目前的系統提示,並參考包含追蹤的批次評估:
範例
- AgentCore CLI
-
從已完成的洞見執行產生建議:
agentcore run recommendation --from-insights <id> --type system-prompt --bundle-name my_bundle --json
或直接參考批次評估 ARN:
agentcore run recommendation --batch-evaluation-arn <arn> --type system-prompt --bundle-name my_bundle --json
- Interactive
-
-
執行 agentcore以開啟 TUI,然後選取執行並選擇建議:
精靈會引導您選取追蹤來源 (洞見執行或批次評估 ARN)、建議類型和組態套件。
- AWS SDK (boto3)
-
import boto3
import uuid
client = boto3.client("bedrock-agentcore", region_name="us-west-2")
response = client.start_recommendation(
name=f"fix-rate-limiting-{uuid.uuid4().hex[:8]}",
type="SYSTEM_PROMPT_RECOMMENDATION",
recommendationConfig={
"systemPromptRecommendationConfig": {
"systemPrompt": {
"text": "You are a helpful customer support assistant. Help users with their orders and returns."
},
"agentTraces": {
"batchEvaluation": {
"batchEvaluationArn": "arn:aws:bedrock-agentcore:us-west-2:123456789012:batch-evaluate/insights-run-ABC1234567"
}
},
}
},
clientToken=str(uuid.uuid4()),
)
recommendation_id = response["recommendationId"]
print(f"Started recommendation: {recommendation_id}")
擷取建議的提示
輪詢直到完成,然後擷取結果:
import time
while True:
rec = client.get_recommendation(recommendationId=recommendation_id)
if rec["status"] in ("COMPLETED", "FAILED"):
break
time.sleep(15)
if rec["status"] == "COMPLETED":
result = rec["recommendationResult"]["systemPromptRecommendationResult"]
print(f"Recommended prompt:\n{result['recommendedSystemPrompt']}")
print(f"\nExplanation:\n{result['explanation']}")
替代追蹤來源
您也可以透過 CloudWatch Logs 提供追蹤,而不是參考批次評估:
"agentTraces": {
"cloudwatchLogs": {
"logGroupArns": [
"arn:aws:logs:us-west-2:123456789012:log-group:/aws/bedrock-agentcore/runtimes/MyAgent-abc123-DEFAULT"
],
"serviceNames": ["MyAgent.DEFAULT"],
"startTime": "2026-05-27T00:00:00Z",
"endTime": "2026-06-03T00:00:00Z",
}
}