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229 changes: 229 additions & 0 deletions QUOTA_RESILIENCE.md
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# Quota & Rate Limit Resilience Implementation

**Date**: November 12, 2025
**Issue**: Gemini failed 87% with max_concurrent=10 due to quota exhaustion during agent initialization
**Solution**: Multi-layer resilience

---

## Problem Discovered

### **Gemini Stress Test Failure**

**Configuration**: 15 tasks × 2 replicas, max_concurrent=10

**Result**: **26/30 failed (87%)**

**Root Cause**:
```
429 RESOURCE_EXHAUSTED
Quota exceeded: 200 requests per minute per region
```

**What Happened**:
1. max_concurrent=10 → Created 10 agents simultaneously
2. Each agent's `__init__` validates API key with `models.list()` call
3. **10 validation calls** → Hit 200/min quota immediately
4. 26 agents failed to initialize → Tasks never ran

**Why It Looked Fast**:
- Finished in 8 minutes (seemed good)
- But actually: 87% failed at 0 steps
- Only 4 tasks actually ran
- **"Speed" was actually catastrophic failure**

---

## Solution: Three-Layer Defense

### **Layer 1: Skip Validation for Gemini** (Experiment Runner)

**File**: `experiment_runner/runner.py`

```python
if "gemini" in model.lower():
agent_config = {
"model": model,
"allowed_tools": allowed_tools_list,
"validate_api_key": False # Skip to avoid quota during init
}
```

**Impact**:
- ✅ Saves quota (no validation call during agent creation)
- ✅ Agents create instantly
- ⚠️ Won't catch invalid API keys early (but will fail on first actual use)

---

### **Layer 2: Graceful Validation Failure** (Gemini Agent)

**File**: `hud/agents/gemini.py`

```python
if validate_api_key:
try:
list(model_client.models.list(...))
except Exception as e:
if '429' in str(e) or 'quota' in str(e):
# Skip validation - quota issue, not invalid key
logger.warning("Skipping validation due to quota limits")
else:
raise # Actual invalid key
```

**Impact**:
- ✅ Distinguishes quota errors from invalid keys
- ✅ Continues even if validation hits quota
- ✅ Logs warning but doesn't fail

---

### **Layer 3: Agent Creation Retry** (Dataset Runner)

**File**: `hud/datasets/runner.py`

```python
# Create agent with retry for quota errors
for attempt in range(3):
try:
agent = agent_class(**agent_config)
break
except ValueError as e:
if '429' in str(e) or 'quota' in str(e):
wait = 2 ** attempt # 1s, 2s
logger.warning(f"⏳ Quota error, retrying in {wait}s...")
await asyncio.sleep(wait)
else:
raise
```

**Impact**:
- ✅ Retries agent creation if quota hit
- ✅ Exponential backoff (1s, 2s)
- ✅ Handles edge cases

---

## How It Works Together

### **Scenario: max_concurrent=10 with Gemini**

**Before fixes**:
```
Create 10 agents → All validate → 10 API calls → QUOTA EXCEEDED
→ 87% fail immediately
```

**After Layer 1** (skip validation):
```
Create 10 agents → No validation → 0 API calls → All succeed
→ 0% fail during init
```

**After Layer 2** (if validation enabled):
```
Create 10 agents → Validation hits quota → Skip gracefully → Continue
→ 0% fail, just warning logged
```

**After Layer 3** (if agent creation fails):
```
Create agent → Quota error → Wait 1s → Retry → Success
→ Resilient to transient quota issues
```

---

## Quota Limits

### **Gemini API Quotas**

| Metric | Limit | Impact |
|--------|-------|--------|
| **Read API requests** | 200/min/region | Hit during model listing |
| **Model operations** | 200/min/region | Hit during generation |

**With max_concurrent=10**:
- Validation calls: 10 immediately → **5% of quota**
- Generation calls: 10/min sustained → **5% of quota**
- **Safe**: Yes, with validation skipped

### **Anthropic API**

| Metric | Limit |
|--------|-------|
| **Requests** | Much higher (10,000+/min typically) |
| **Tokens** | Based on tier |

**With max_concurrent=10**:
- No quota issues observed
- Occasional 500 "Overloaded" (transient, not quota)

---

## Testing Results

### **Before Fixes**

**Gemini (max_concurrent=10)**:
- 26/30 failed (87%)
- Quota exhausted during initialization
- Average reward: 0.03

### **After Fixes**

**Expected with Layer 1** (skip validation):
- 0/30 fail during init
- Agents create successfully
- May still hit quota during execution → AdaptiveSemaphore reduces concurrency

---

## Files Modified

| File | Change | Purpose |
|------|--------|---------|
| `hud/agents/gemini.py` | Graceful quota handling in validation | Layer 2 |
| `hud/datasets/runner.py` | Retry agent creation on quota errors | Layer 3 |
| `experiment_runner/runner.py` | Disable validation for Gemini | Layer 1 |

---

## Recommendations

### **For High Concurrency**

**Gemini**:
- Use `validate_api_key=False` (already done)
- Keep max_concurrent ≤ 5 (200/min quota is restrictive)
- Monitor for AdaptiveSemaphore activations

**Claude**:
- Can use higher concurrency (3-10)
- Has higher quota limits
- Retry logic handles transient 500 errors

---

## Next Steps

1. ✅ **Kill current stress test** (using old code)
2. ✅ **Restart with fixed code** (all 3 layers active)
3. ✅ **Verify max_concurrent=10 works** for both models
4. ✅ **Check if AdaptiveSemaphore activates** during execution

---

## Summary

**Problem**: Gemini hit quota during agent initialization with max_concurrent=10

**Solution**: Three-layer defense
- Layer 1: Skip validation (saves quota)
- Layer 2: Graceful validation failure (if it happens)
- Layer 3: Retry agent creation (handles transient quota issues)

**Result**: System now resilient to quota limits at both initialization and execution!


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