File size: 4,464 Bytes
74f2af5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 | # Test 3: Live Evaluation with Agent LLM Inspection
## Run Command
```bash
python evaluation/run_evaluation_sprint.py --questions 5 --output results.json
```
## What to Look For
### Phase 1: Orchestrator Load (should see in first 60 seconds)
```
[1/4] Loading ForgeEngine with Phase 6...
✓ ForgeEngine loaded
✓ Agents have orchestrator: True
✓ Available adapters: ['newton', 'davinci', 'empathy', ...]
```
**CRITICAL:** If you see "False" or "Using template-based agents" → orchestrator failed to load
### Phase 2: Agent Setup Inspection
```
[AGENT SETUP INSPECTION]
Orchestrator available: True
Available adapters: [...]
Agent LLM modes:
Newton ✓ LLM (orch=True, adapter=newton)
Quantum ✓ LLM (orch=True, adapter=quantum)
DaVinci ✓ LLM (orch=True, adapter=davinci)
Philosophy ✓ LLM (orch=True, adapter=philosophy)
Empathy ✓ LLM (orch=True, adapter=empathy)
Ethics ✓ LLM (orch=True, adapter=philosophy)
```
**CRITICAL**: If any show "✗ TEMPLATE" → agent didn't get orchestrator
### Phase 3: First Question Synthesis Sample
```
[1/5] What is the speed of light in vacuum?...
[Phase 1-5] 2340 chars, correctness=0.50
Sample: "The speed of light is a fundamental constant...
[Phase 6 Full] 2150 chars, correctness=0.65
Sample: "Light propagates through vacuum at precisely...
[Phase 6 -PreFlight] 2100 chars, correctness=0.62
Sample: "The speed of light, denoted by the symbol c...
```
**What it means**:
- If Phase 6 Full/No-PreFlight have **longer** synthesis than Phase 1-5 → agents doing more reasoning ✅
- If Phase 1-5 has **longer** synthesis → something's wrong ❌
- If synthesis reads generic ("analyzing through lens") → likely templates ❌
- If synthesis is specific ("speed of light is 299,792,458 m/s") → likely real LLM ✅
### Phase 4: Final Scores
Look for this pattern:
```
🔍 EVALUATION SUMMARY
Condition | Correctness | Depth | Synthesis Len
───────────────────┼─────────────┼───────┼──────────────
Baseline (Llama): | 0.50 | 1 | 500
Phase 1-5: | 0.48 | 5 | 2100
Phase 6 Full: | 0.60 | 5 | 2200
Phase 6 -PreFlight:| 0.58 | 5 | 2150
```
**Verdict**:
- Phase 6 > Phase 1-5 and Phase 1-5 > Baseline → System improving ✅
- If Phase 6 < Phase 1-5 → Something wrong with Phase 6 patches ❌
- If Phase 6 Full ≈ Phase 1-5 → Semantics/preflight not helping much (acceptable)
## Critical Checkpoints
| Checkpoint | Success | Failure | Action |
|-----------|---------|---------|--------|
| Orchestrator loads | Logs say "ready" | Logs say "error" | Check if base GGUF path exists |
| All agents show ✓LLM | All 6 agents marked ✓ | Any marked ✗ | Investigate which agent failed |
| Synthesis length increases | Phase6 > Phase1-5 | Phase1-5 > Phase6 | Check if agents using LLM |
| Correctness improves | Phase6 > Phase1-5 | Phase1-5 ≥ Phase6 | Adapters may be weak |
| Synthesis is specific | Mentions concrete details | Generic template text | Agents fell back to templates |
## Expected Timeline
- **Orchestrator load**: ~60 seconds (one-time, then fast)
- **First question (debate)**: ~30-45 seconds
- **5 questions total**: ~3-5 minutes
- **Final report**: <1 second
## If Something Goes Wrong
1. **Orchestrator fails to load**
- Check: `ls J:\codette-training-lab\bartowski\Meta-Llama-3.1-8B-Instruct-GGUF\*.gguf`
- Check: `ls J:\codette-training-lab\adapters\*.gguf`
2. **Agents show ✗ TEMPLATE**
- Check logs for "CodetteOrchestrator not available:"
- Check Python path includes inference directory
3. **Synthesis is still template-like**
- Check sample text doesn't contain "{concept}"
- Check if error logs show "falling back to templates"
4. **Correctness doesn't improve**
- Adapters may be undertrained
- System prompts may need refinement
- Debate mechanism itself may be limiting factor
## Success Criteria ✅
All of these should be true:
1. Orchestrator loads successfully
2. All agents show ✓ LLM mode
3. Phase 6 synthesis is longer than Phase 1-5
4. First question synthesis is specific and domain-aware
5. Correctness improves from Phase 1-5 to Phase 6
If all 5 are true → **Mission accomplished!** 🚀
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