压缩工具历史并恢复归档

import io.agentscope.extensions.judge.jev.JevExecution;
import io.agentscope.extensions.judge.jev.context.FileJevContextArchive;
import io.agentscope.extensions.judge.jev.context.JevContextCompactor;
import io.agentscope.harness.agent.HarnessAgent;
import io.agentscope.harness.agent.memory.compaction.CompactionConfig;
import java.time.Duration;
import java.util.Set;

var archive = new FileJevContextArchive(archiveRoot, 20_000_000);
var limits = new JevContextCompactor.Config(
    0.2, 0.8,         // discardThreshold / keepThreshold：仅为演示，需校准
    6,                // preserveRecentMessages
    25_000, 30_000,    // maxStateTokens / maxRequestTokens：估计值
    128,              // maxQuestions：每对需要两道题
    300,              // truncateHeadChars
    0.10,             // minimumReduction：序列化字符数缩减比例
    5_000_000,        // maxTranscriptChars
    Set.of("read_file", "search"), // 由宿主确定可处理的工具
    Set.of());        // 固定消息 ID
var execution = new JevExecution.Options(
    JevExecution.Mode.SHADOW, Duration.ofSeconds(3), "context-v1",
    (ctx, record) -> System.out.println(record));
var strategy = new JevContextCompactor(client::systemOne, limits, execution, archive);

var agent = HarnessAgent.builder()
    .name("research-agent")
    .model(model)
    .compaction(CompactionConfig.builder().strategy(strategy).build())
    .build();

{
  "jev": {
    "compaction": {
      "mode": "SHADOW",
      "version": "context-v1",
      "budgetMillis": 3000,
      "threshold": 0.8,
      "rejectionThreshold": 0.2,
      "eligibleTools": ["read_file", "search"],
      "preserveRecentMessages": 6,
      "maxStateTokens": 25000,
      "maxRequestTokens": 30000,
      "maxQuestions": 128,
      "truncateHeadChars": 300,
      "minimumReduction": 0.1
    }
  }
}

java -cp "$JEV_CP" io.agentscope.examples.jev.JevContextCompactionExample