# Observability E2E Tests - Budget Tracking

**Part of Phase 4: Observability & Performance Monitoring (ADR-017)**
**TODO-169: Tier 3 E2E Tests for Observability System**

This document tracks estimated vs. actual API costs for observability E2E tests.

## Budget Summary

| Category | Tests | Estimated Cost | Actual Cost | Status |
|----------|-------|----------------|-------------|--------|
| OpenAI Tests | 5 | $0.55 | TBD | ⏳ Pending |
| Anthropic Tests | 3 | $1.00 | TBD | ⏳ Pending |
| Multi-Agent Tests | 3 | $2.50 | TBD | ⏳ Pending |
| Long-Running Tests | 2 | $3.00 | TBD | ⏳ Pending |
| Error Tests | 3 | $0.60 | TBD | ⏳ Pending |
| **TOTAL** | **16** | **$7.65** | **TBD** | ⏳ Pending |

**Approved Budget**: $10.00
**Budget Remaining**: $2.35 (23.5% buffer)

## Detailed Cost Breakdown

### 1. OpenAI Tests ($0.55)

**File**: `tests/e2e/observability/test_openai_observability.py`

| Test | Model | Calls | Est. Cost | Actual Cost | Notes |
|------|-------|-------|-----------|-------------|-------|
| test_full_observability_openai_gpt35 | gpt-3.5-turbo | 10 | $0.10 | TBD | Basic Q&A |
| test_full_observability_openai_gpt4 | gpt-4 | 3 | $0.30 | TBD | High-quality responses |
| test_streaming_observability_openai | gpt-3.5-turbo | 1 | $0.05 | TBD | Streaming validation |
| test_tool_calling_observability_openai | gpt-3.5-turbo | multiple | $0.10 | TBD | Tool integration |
| test_error_observability_openai | gpt-3.5-turbo | 0 | $0.00 | TBD | Invalid API key |
| **Subtotal** | - | **14+** | **$0.55** | **TBD** | - |

### 2. Anthropic Tests ($1.00)

**File**: `tests/e2e/observability/test_anthropic_observability.py`

| Test | Model | Calls | Est. Cost | Actual Cost | Notes |
|------|-------|-------|-----------|-------------|-------|
| test_full_observability_anthropic_haiku | claude-3-haiku | 10 | $0.20 | TBD | Basic Q&A |
| test_vision_observability_anthropic | claude-3-haiku | 1 | $0.30 | TBD | Vision processing |
| test_memory_observability_anthropic | claude-3-haiku | 5 | $0.50 | TBD | Multi-turn conversation |
| **Subtotal** | - | **16** | **$1.00** | **TBD** | - |

### 3. Multi-Agent Tests ($2.50)

**File**: `tests/e2e/observability/test_multi_agent_observability.py`

| Test | Model | Agents | Calls | Est. Cost | Actual Cost | Notes |
|------|-------|--------|-------|-----------|-------------|-------|
| test_supervisor_worker_observability | gpt-3.5-turbo | 4 | multiple | $1.00 | TBD | Supervisor + 3 workers |
| test_consensus_observability | gpt-3.5-turbo | 3 | 3 | $0.50 | TBD | 3 voting agents |
| test_handoff_observability | gpt-3.5-turbo | 3 | 3 | $1.00 | TBD | Sequential handoff |
| **Subtotal** | - | **10** | **6+** | **$2.50** | **TBD** | - |

### 4. Long-Running Tests ($3.00)

**File**: `tests/e2e/observability/test_long_running_observability.py`

| Test | Model | Duration | Calls | Est. Cost | Actual Cost | Notes |
|------|-------|----------|-------|-----------|-------------|-------|
| test_1_hour_continuous_observability | gpt-3.5-turbo | 60 min | 360 | $3.00 | TBD | 1 call per 10 seconds |
| test_high_volume_metrics | - | - | 0 | $0.00 | TBD | No API calls (metrics only) |
| **Subtotal** | - | - | **360** | **$3.00** | **TBD** | - |

**NOTE**: Test 1 can be shortened to 5 minutes (30 calls, $0.25) for cost savings.

### 5. Error Scenarios Tests ($0.60)

**File**: `tests/e2e/observability/test_error_scenarios_observability.py`

| Test | Model | Calls | Est. Cost | Actual Cost | Notes |
|------|-------|-------|-----------|-------------|-------|
| test_network_timeout_observability | gpt-3.5-turbo | 0 | $0.00 | TBD | Timeout before completion |
| test_rate_limit_observability | gpt-3.5-turbo | ~10 | $0.50 | TBD | Rapid requests |
| test_provider_failure_observability | gpt-3.5-turbo | 1 | $0.10 | TBD | Fallback succeeds |
| **Subtotal** | - | **~11** | **$0.60** | **TBD** | - |

## Cost Estimation Methodology

### OpenAI Pricing (as of 2025-10-24)

| Model | Input | Output | Avg Cost per Call |
|-------|-------|--------|-------------------|
| gpt-3.5-turbo | $0.0005/1K tokens | $0.0015/1K tokens | ~$0.01 |
| gpt-4 | $0.03/1K tokens | $0.06/1K tokens | ~$0.10 |

**Assumptions**:
- Average input: 50 tokens
- Average output: 100 tokens
- gpt-3.5-turbo call: ~$0.01
- gpt-4 call: ~$0.10

### Anthropic Pricing (as of 2025-10-24)

| Model | Input | Output | Avg Cost per Call |
|-------|-------|--------|-------------------|
| claude-3-haiku | $0.00025/1K tokens | $0.00125/1K tokens | ~$0.02 |

**Assumptions**:
- Average input: 50 tokens
- Average output: 150 tokens
- claude-haiku call: ~$0.02

## Actual Cost Tracking

### Test Run 1: [Date TBD]

**Execution Command**:
```bash
pytest tests/e2e/observability/ -m tier3 -v
```

**Results**:
- Tests Passed: TBD
- Tests Failed: TBD
- Total Duration: TBD
- Actual Cost: TBD

**Provider Costs**:
- OpenAI: TBD
- Anthropic: TBD

**Notes**: TBD

---

### Test Run 2: [Date TBD]

**Execution Command**:
```bash
TBD
```

**Results**: TBD

---

## Cost Optimization Strategies

### 1. Reduce Long-Running Test Duration

**Current**: 1-hour continuous test (360 calls, $3.00)
**Optimized**: 5-minute continuous test (30 calls, $0.25)
**Savings**: $2.75 (91% reduction)

```bash
# Modify test to use shorter duration
duration_minutes = 5  # Instead of 60
```

### 2. Use Cheaper Models

**Current**: Mix of gpt-3.5-turbo and gpt-4
**Optimized**: Only gpt-3.5-turbo for validation
**Savings**: ~$0.20 per gpt-4 call avoided

### 3. Reduce Number of Calls

**Current**: 10 calls per basic test
**Optimized**: 3-5 calls per basic test
**Savings**: ~$0.05-$0.07 per test

### 4. Run Tests Selectively

```bash
# Run cheap tests only ($0.55)
pytest tests/e2e/observability/test_openai_observability.py -v

# Skip expensive long-running tests
pytest tests/e2e/observability/ -m "tier3 and not slow" -v
```

### 5. Use Test Summaries

```bash
# Run summary tests only (no API calls, $0.00)
pytest tests/e2e/observability/ -m summary -v
```

## Budget Alerts

### Budget Thresholds

| Threshold | Amount | Action Required |
|-----------|--------|-----------------|
| 🟢 Safe | < $5.00 | Continue normal testing |
| 🟡 Caution | $5.00 - $8.00 | Review test frequency |
| 🔴 Critical | > $8.00 | Reduce test scope |
| ❌ Exceeded | > $10.00 | STOP and review |

### Current Status: 🟢 Safe

**Estimated Cost**: $7.65
**Budget Remaining**: $2.35
**Status**: Within budget, safe to proceed

## Monthly Test Budget

### Recommended Testing Frequency

| Test Category | Frequency | Monthly Runs | Monthly Cost |
|---------------|-----------|--------------|--------------|
| OpenAI Tests | Daily | 30 | $16.50 |
| Anthropic Tests | Weekly | 4 | $4.00 |
| Multi-Agent Tests | Weekly | 4 | $10.00 |
| Long-Running Tests (short) | Weekly | 4 | $1.00 |
| Error Tests | Weekly | 4 | $2.40 |
| **TOTAL** | - | - | **$33.90/month** |

**Optimized Monthly Budget**: ~$34/month for continuous validation

### Cost-Effective CI/CD Strategy

```yaml
# GitHub Actions schedule
on:
  schedule:
    - cron: '0 0 * * 1'  # Weekly (Mondays)

  # Or trigger manually for cost control
  workflow_dispatch:
```

**Weekly Testing Cost**: ~$7.65/week
**Monthly Cost**: ~$30.60/month

## References

- **OpenAI Pricing**: https://openai.com/pricing
- **Anthropic Pricing**: https://www.anthropic.com/pricing
- **ADR-017**: Observability Architecture
- **TODO-169**: E2E Test Implementation

---

**Last Updated**: 2025-10-24
**Next Review**: After first test run
**Budget Status**: ✅ Approved ($10.00)
**Estimated Total**: $7.65 (76.5% of budget)
