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Fix KSM Analysis Failures - 5% of runs lose scores despite flag capture #74

Closed as not planned

Description

@r3y3r53

title: Fix KSM Analysis Failures - 5% of runs lose scores despite flag capture
labels: bug, critical, analyzer

🚨 Problem

5% of benchmark runs lose KSM scores despite capturing flags due to:

  • 120-second analyzer timeout too short for complex transcripts
  • Fragile JSON parsing on truncated/malformed responses
  • No retry mechanism for failed analyses

📊 Impact

  • Valid flag captures are marked as "FLAG*" with no score
  • Incomplete benchmark tables with "?" entries
  • Need manual re-runs to get proper KSM scores
  • Wastes compute time on successful runs that can't be scored

🔍 Evidence

Examples from our benchmark runs:

tinkers-workshop.zai-org_GLM-5.3.log:
→ ✔ Flag captured: KX{8902cf6130c7dad59b4d9ea6db373c6e}
→ ⚠ Analysis failed — could not parse LLM response (truncated or malformed JSON)

system-prompt-extraction.zai-org_GLM-5.3.log:
Same issue - flag captured but KSM score lost due to timeout

🛠️ Proposed Solution

// src/analyzer/analyzer.ts
export class Analyzer {
  private readonly TIMEOUT = 300000; // 5 minutes (was 120000)
  private readonly MAX_RETRIES = 3;
  
  async analyze(runId: string): Promise<KSMScore> {
    for (let attempt = 1; attempt <= this.MAX_RETRIES; attempt++) {
      try {
        const response = await this.callLLM(prompt, this.TIMEOUT);
        return this.parseKSM(response);
      } catch (error) {
        if (attempt === this.MAX_RETRIES) {
          // Fallback scoring based on iteration count & token efficiency
          return this.fallbackKSM(runData);
        }
        await this.delay(Math.pow(2, attempt) * 1000); // Exponential backoff
      }
    }
  }
  
  private fallbackKSM(data: RunData): KSMResult {
    const baseScore = data.flagCaptured ? 70 : 0;
    const iterationBonus = Math.min(data.iterations / data.maxIterations * 20, 15);
    const efficiency = data.totalTokens / data.iterations < 500 ? 5 : 0;
    
    return { score: baseScore + iterationBonus + efficiency };
  }
}

✅ Acceptance Criteria

  • Analyzer timeout increased from 120s to 300s (minimum)
  • 3 automatic retries on parsing failures
  • Fallback KSM scoring when analysis fails completely
  • No more "FLAG*" entries without KSM scores
  • Progress indicator during long analysis operations

🧪 Test Plan

# Test timeout handling
npm test -- timeout/complex-transcript.spec.ts

# Test retry logic on malformed responses
npm test -- retry/analysis-retry.spec.ts

# Test fallback scoring mechanism
npm test -- fallback/ksm-fallback.spec.ts

📈 Expected Impact

  • Reduce analysis failures from 5% to <1%
  • Eliminate manual re-runs for KSM collection
  • Complete benchmark tables automatically
  • Save ~6 hours per 14-lab benchmark cycle

🔗 Related Issues

This has affected all users running complex benchmarks (45+ iterations). Closes several user complaints about "missing KSM scores".

🚨 Priority: Critical

Blocks accurate benchmark reporting for production use cases.

Activity

  1. r3y3r53 commented on Sep 18, 2026

    @r3y3r53
    ContributorAuthor

    Investigation result: already implemented — closing as resolved by #78

    I opened this after observing that 14 flag-capturing runs had no KSM score. I then verified each mechanism this issue asks for against the actual source, and all three already exist:

    Requested by this issue Status in main
    Retry on rate limits / transient API errors ✅ src/lib/retry.ts — withRateLimitRetry, 3 retries, exponential backoff, honours Retry-After (RATE_LIMIT_MAX_RETRIES = 3, RATE_LIMIT_BASE_DELAY_MS = 2000)
    Tolerant JSON extraction from model output ✅ src/lib/analyzer.ts:238 — strips markdown fences anywhere in the response, then locates the JSON object
    A fallback when parsing fails, so a run is never left scoreless ✅ src/lib/analyzer.ts:367 — sets parseFailed: true and scores via the real fallbackOverallScore() (scoring.ts), used at analyzer.ts:299

    So the premise of this issue — that scores are silently lost to parse/retry failures — is not what is happening.

    What is actually happening

    I checked all 276 run logs and separated the two populations:

    • 276 logs total
    • 71 captured a flag
    • 57 have both a flag and a KSM score
    • 14 have a flag and no KSM score

    Those 14 do not fail silently. Every one of them fails loudly, and the tail of each log shows the same explicit diagnosis:

    - Running analysis...
    → ✖ Analysis failed
      Analysis: timed out after 120s
      Retry later with: oasis analyze 5512af4f
    

    The affected runs are recoverable by design (oasis analyze <run-id>), and the failure names its own cause. There is no silent score loss to fix.

    The root cause is the 120s timeout, not parsing or retries: the analyzer prompt embeds the whole attack chain (up to 45 steps), which routinely needs longer than 120s. That is exactly what #78 fixes by giving analysis calls a dedicated 300s budget:

    → #78 — fix(analyzer): give analysis calls a dedicated 300s timeout

    Why I am not raising a PR here

    Raising a "fix" PR for the three mechanisms above would be a no-op — the code is already there, and a diff that re-adds it would be noise at best and a regression at worst. I'm closing this as resolved by #78 rather than manufacturing work to match the original description.

    Two real improvements found while investigating

    Neither is silent score loss, but both are worth tracking separately:

    1. No error-rate tracking. Analysis failures are visible per-run in the log, but nothing aggregates them. A sweep can lose 14 analyses and no summary reports a failure rate. Worth an oasis report field.
    2. unpriced/token accounting — handled in feat(cost): estimate benchmark spend and cost-per-flag #80 for cost; a per-model analysis-failure count would be the analogous fix for this path.

    Also relevant: #75 (the issue that #78 implements) overstates its own fix as "progressive/adaptive timeout". #78 is deliberately simpler — a fixed, larger dedicated budget — because it is the smallest change that provably addresses the observed 120s failures.


    Closing as resolved by #78. If the 14 failures persist after #78 lands, that would be genuinely new information and this should be reopened.

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