test: add improvement proposal generator tests (#168)

scripts/improvement_proposals.py

@@ -0,0 +1,451 @@
+#!/usr/bin/env python3
+"""
+Improvement Proposal Generator for compounding-intelligence.
+
+Analyzes fleet session data to identify waste patterns and generates
+concrete improvement proposals with ROI estimates.
+
+Input: Session analytics JSON (from fleet metrics or session database)
+Output: Markdown proposal document + JSON proposals
+
+Usage:
+    python3 scripts/improvement_proposals.py --input analytics.json
+    python3 scripts/improvement_proposals.py --input analytics.json --format json
+    python3 scripts/improvement_proposals.py --input analytics.json --output proposals.md
+    python3 scripts/improvement_proposals.py --input analytics.json --threshold 5.0
+"""
+
+import argparse
+import json
+import os
+import sys
+from collections import defaultdict
+from dataclasses import dataclass, field, asdict
+from datetime import datetime, timezone
+from typing import Any, Dict, List, Optional
+
+
+# ── Data types ─────────────────────────────────────────────────
+
+@dataclass
+class WastePattern:
+    """A detected waste pattern in fleet sessions."""
+    pattern_type: str       # "repeated_error", "manual_process", "slow_tool", "failed_retry"
+    description: str
+    occurrences: int
+    total_time_hours: float
+    affected_repos: List[str] = field(default_factory=list)
+    example_sessions: List[str] = field(default_factory=list)
+
+
+@dataclass
+class ImprovementProposal:
+    """A concrete improvement proposal with ROI estimate."""
+    title: str
+    problem: str
+    proposed_solution: str
+    estimated_weekly_hours_saved: float
+    estimated_monthly_hours_saved: float
+    implementation_hours: float
+    roi_weeks: float           # weeks to break even
+    priority: str              # "critical", "high", "medium", "low"
+    affected_area: str
+    supporting_evidence: List[str] = field(default_factory=list)
+
+
+# ── Session analysis ──────────────────────────────────────────
+
+def analyze_sessions(sessions: List[dict]) -> List[WastePattern]:
+    """
+    Analyze session data to find waste patterns.
+
+    Looks for:
+    - Repeated errors (same error across sessions)
+    - Manual processes (long sequences of similar actions)
+    - Slow tools (tools with high latency)
+    - Failed retries (multiple attempts at same task)
+    """
+    patterns = []
+
+    # Track error frequency across sessions
+    error_counts: Dict[str, List[dict]] = defaultdict(list)
+    tool_latencies: Dict[str, List[float]] = defaultdict(list)
+    retry_counts: Dict[str, int] = defaultdict(int)
+    manual_sequences: List[dict] = []
+
+    for session in sessions:
+        session_id = session.get("session_id", "unknown")
+        repo = session.get("repo", "global")
+        messages = session.get("messages", [])
+        errors = session.get("errors", [])
+        tool_calls = session.get("tool_calls", [])
+        duration_min = session.get("duration_minutes", 0)
+
+        # 1. Repeated errors
+        for err in errors:
+            err_key = _normalize_error(err.get("message", ""))
+            if err_key:
+                error_counts[err_key].append({
+                    "session_id": session_id,
+                    "repo": repo,
+                })
+
+        # 2. Tool latency tracking
+        for tc in tool_calls:
+            tool_name = tc.get("tool", "unknown")
+            latency = tc.get("latency_ms", 0)
+            if latency > 0:
+                tool_latencies[tool_name].append(latency)
+
+        # 3. Failed retries (same tool called 3+ times in sequence)
+        prev_tool = None
+        streak = 0
+        for tc in tool_calls:
+            tool_name = tc.get("tool", "unknown")
+            if tool_name == prev_tool:
+                streak += 1
+            else:
+                if streak >= 3:
+                    retry_counts[prev_tool] += 1
+                streak = 1
+            prev_tool = tool_name
+        if streak >= 3:
+            retry_counts[prev_tool] += 1
+
+        # 4. Manual processes (10+ sequential tool calls with no automation)
+        if len(tool_calls) > 10:
+            tool_sequence = [tc.get("tool") for tc in tool_calls]
+            unique_tools = set(tool_sequence)
+            if len(unique_tools) <= 3 and len(tool_calls) > 10:
+                manual_sequences.append({
+                    "session_id": session_id,
+                    "repo": repo,
+                    "tool_count": len(tool_calls),
+                    "unique_tools": list(unique_tools),
+                    "duration_min": duration_min,
+                })
+
+    # Generate patterns from collected data
+
+    # Repeated errors (appearing in 3+ sessions)
+    for err_key, occurrences in error_counts.items():
+        if len(occurrences) >= 3:
+            repos = list(set(o["repo"] for o in occurrences))
+            sessions_list = [o["session_id"] for o in occurrences[:5]]
+            # Estimate time wasted: 5 min per error occurrence
+            hours = len(occurrences) * 5 / 60
+            patterns.append(WastePattern(
+                pattern_type="repeated_error",
+                description=f"Error: {err_key[:100]}",
+                occurrences=len(occurrences),
+                total_time_hours=round(hours, 1),
+                affected_repos=repos,
+                example_sessions=sessions_list,
+            ))
+
+    # Slow tools (avg latency > 5000ms across 5+ calls)
+    for tool, latencies in tool_latencies.items():
+        if len(latencies) >= 5:
+            avg_ms = sum(latencies) / len(latencies)
+            if avg_ms > 5000:
+                hours = sum(latencies) / 1000 / 3600
+                patterns.append(WastePattern(
+                    pattern_type="slow_tool",
+                    description=f"Tool '{tool}' averages {avg_ms:.0f}ms latency",
+                    occurrences=len(latencies),
+                    total_time_hours=round(hours, 1),
+                    affected_repos=["global"],
+                    example_sessions=[],
+                ))
+
+    # Failed retries
+    for tool, count in retry_counts.items():
+        if count >= 2:
+            hours = count * 10 / 60  # ~10 min per failed retry sequence
+            patterns.append(WastePattern(
+                pattern_type="failed_retry",
+                description=f"Tool '{tool}' had {count} retry sequences (3+ consecutive calls)",
+                occurrences=count,
+                total_time_hours=round(hours, 1),
+                affected_repos=["global"],
+                example_sessions=[],
+            ))
+
+    # Manual processes
+    for seq in manual_sequences:
+        hours = seq["duration_min"] / 60
+        patterns.append(WastePattern(
+            pattern_type="manual_process",
+            description=f"Session {seq['session_id'][:12]}: {seq['tool_count']} tool calls with only {len(seq['unique_tools'])} unique tools",
+            occurrences=1,
+            total_time_hours=round(hours, 1),
+            affected_repos=[seq["repo"]],
+            example_sessions=[seq["session_id"]],
+        ))
+
+    return sorted(patterns, key=lambda p: p.total_time_hours, reverse=True)
+
+
+def _normalize_error(message: str) -> str:
+    """Normalize error message to a common key."""
+    if not message:
+        return ""
+    msg = message.lower().strip()
+    # Remove variable parts (paths, IDs, timestamps)
+    import re
+    msg = re.sub(r'/\S+', '/PATH', msg)
+    msg = re.sub(r'\b[0-9a-f]{8,}\b', 'HASH', msg)
+    msg = re.sub(r'\d{4}-\d{2}-\d{2}[tT]\d{2}:\d{2}', 'TIME', msg)
+    return msg[:150]
+
+
+# ── Proposal generation ───────────────────────────────────────
+
+def generate_proposals(
+    patterns: List[WastePattern],
+    hourly_rate: float = 50.0,
+    implementation_overhead: float = 1.5,
+) -> List[ImprovementProposal]:
+    """
+    Generate improvement proposals from waste patterns.
+
+    Args:
+        patterns: Detected waste patterns
+        hourly_rate: Developer hourly rate for ROI calculation
+        implementation_overhead: Multiplier for implementation time estimate
+    """
+    proposals = []
+
+    # Group patterns by type
+    by_type: Dict[str, List[WastePattern]] = defaultdict(list)
+    for p in patterns:
+        by_type[p.pattern_type].append(p)
+
+    # 1. Repeated errors → Create fix/skill
+    for p in by_type.get("repeated_error", []):
+        weekly_hours = p.total_time_hours / 4  # monthly → weekly
+        impl_hours = max(1.0, p.occurrences * 0.25) * implementation_overhead
+        roi_weeks = impl_hours / weekly_hours if weekly_hours > 0 else float('inf')
+
+        proposals.append(ImprovementProposal(
+            title=f"Fix repeated error: {p.description[:60]}",
+            problem=f"This error occurred {p.occurrences} times across {len(p.affected_repos)} repos, wasting ~{p.total_time_hours:.1f} hours.",
+            proposed_solution="Root-cause the error and create a permanent fix or mitigation skill.",
+            estimated_weekly_hours_saved=round(weekly_hours, 1),
+            estimated_monthly_hours_saved=round(p.total_time_hours, 1),
+            implementation_hours=round(impl_hours, 1),
+            roi_weeks=round(roi_weeks, 1),
+            priority=_priority_from_roi(roi_weeks),
+            affected_area="reliability",
+            supporting_evidence=[f"{p.occurrences} occurrences in sessions: {', '.join(p.example_sessions[:3])}"],
+        ))
+
+    # 2. Slow tools → Optimize or replace
+    for p in by_type.get("slow_tool", []):
+        weekly_hours = p.total_time_hours / 4
+        impl_hours = 3.0 * implementation_overhead  # optimization task
+        roi_weeks = impl_hours / weekly_hours if weekly_hours > 0 else float('inf')
+
+        proposals.append(ImprovementProposal(
+            title=f"Optimize slow tool: {p.description[:60]}",
+            problem=f"Tool has {p.occurrences} calls with high latency, wasting ~{p.total_time_hours:.1f} hours total.",
+            proposed_solution="Profile the tool, add caching, or replace with a faster alternative.",
+            estimated_weekly_hours_saved=round(weekly_hours, 1),
+            estimated_monthly_hours_saved=round(p.total_time_hours, 1),
+            implementation_hours=round(impl_hours, 1),
+            roi_weeks=round(roi_weeks, 1),
+            priority=_priority_from_roi(roi_weeks),
+            affected_area="performance",
+            supporting_evidence=[f"{p.occurrences} slow calls detected"],
+        ))
+
+    # 3. Failed retries → Add retry logic or validation
+    for p in by_type.get("failed_retry", []):
+        weekly_hours = p.total_time_hours / 4
+        impl_hours = 2.0 * implementation_overhead
+        roi_weeks = impl_hours / weekly_hours if weekly_hours > 0 else float('inf')
+
+        proposals.append(ImprovementProposal(
+            title=f"Reduce retries for tool '{p.description[:50]}'",
+            problem=f"Tool had {p.occurrences} retry sequences, wasting ~{p.total_time_hours:.1f} hours.",
+            proposed_solution="Add input validation, pre-flight checks, or automatic retry with backoff.",
+            estimated_weekly_hours_saved=round(weekly_hours, 1),
+            estimated_monthly_hours_saved=round(p.total_time_hours, 1),
+            implementation_hours=round(impl_hours, 1),
+            roi_weeks=round(roi_weeks, 1),
+            priority=_priority_from_roi(roi_weeks),
+            affected_area="reliability",
+            supporting_evidence=[f"{p.occurrences} retry sequences detected"],
+        ))
+
+    # 4. Manual processes → Automate
+    total_manual_hours = sum(p.total_time_hours for p in by_type.get("manual_process", []))
+    manual_patterns = by_type.get("manual_process", [])
+    if manual_patterns:
+        weekly_hours = total_manual_hours / 4
+        impl_hours = len(manual_patterns) * 2.0 * implementation_overhead
+        roi_weeks = impl_hours / weekly_hours if weekly_hours > 0 else float('inf')
+
+        proposals.append(ImprovementProposal(
+            title=f"Automate {len(manual_patterns)} manual processes",
+            problem=f"{len(manual_patterns)} sessions had long manual tool sequences, wasting ~{total_manual_hours:.1f} hours.",
+            proposed_solution="Create composite skills or scripts that combine the repeated tool sequences into single operations.",
+            estimated_weekly_hours_saved=round(weekly_hours, 1),
+            estimated_monthly_hours_saved=round(total_manual_hours, 1),
+            implementation_hours=round(impl_hours, 1),
+            roi_weeks=round(roi_weeks, 1),
+            priority=_priority_from_roi(roi_weeks),
+            affected_area="automation",
+            supporting_evidence=[f"{len(manual_patterns)} manual sessions detected"],
+        ))
+
+    return sorted(proposals, key=lambda p: p.estimated_monthly_hours_saved, reverse=True)
+
+
+def _priority_from_roi(roi_weeks: float) -> str:
+    """Determine priority from ROI break-even time."""
+    if roi_weeks <= 1:
+        return "critical"
+    elif roi_weeks <= 4:
+        return "high"
+    elif roi_weeks <= 12:
+        return "medium"
+    return "low"
+
+
+# ── Output formatting ─────────────────────────────────────────
+
+def format_proposals_markdown(
+    proposals: List[ImprovementProposal],
+    patterns: List[WastePattern],
+    generated_at: str,
+) -> str:
+    """Format proposals as a markdown document."""
+    lines = [
+        "# Improvement Proposals",
+        "",
+        f"Generated: {generated_at}",
+        f"Based on analysis of {sum(p.occurrences for p in patterns)} waste events across {len(set(r for p in patterns for r in p.affected_repos))} repos.",
+        "",
+        "---",
+        "",
+        "## Summary",
+        "",
+        f"| Metric | Value |",
+        f"|--------|-------|",
+        f"| Total proposals | {len(proposals)} |",
+        f"| Critical priority | {sum(1 for p in proposals if p.priority == 'critical')} |",
+        f"| Total monthly hours wasted | {sum(p.estimated_monthly_hours_saved for p in proposals):.1f}h |",
+        f"| Total weekly hours recoverable | {sum(p.estimated_weekly_hours_saved for p in proposals):.1f}h |",
+        f"| Implementation investment | {sum(p.implementation_hours for p in proposals):.1f}h |",
+        "",
+        "---",
+        "",
+    ]
+
+    for i, prop in enumerate(proposals, 1):
+        lines.extend([
+            f"## {i}. {prop.title}",
+            "",
+            f"**Priority:** {prop.priority.upper()}  ",
+            f"**Area:** {prop.affected_area}  ",
+            f"**ROI break-even:** {prop.roi_weeks:.1f} weeks",
+            "",
+            "### Problem",
+            "",
+            prop.problem,
+            "",
+            "### Proposed Solution",
+            "",
+            prop.proposed_solution,
+            "",
+            "### ROI Estimate",
+            "",
+            f"- Weekly hours saved: **{prop.estimated_weekly_hours_saved}h**",
+            f"- Monthly hours saved: **{prop.estimated_monthly_hours_saved}h**",
+            f"- Implementation time: **{prop.implementation_hours}h**",
+            f"- Break-even: **{prop.roi_weeks:.1f} weeks**",
+            "",
+        ])
+
+        if prop.supporting_evidence:
+            lines.extend([
+                "### Evidence",
+                "",
+            ])
+            for ev in prop.supporting_evidence:
+                lines.append(f"- {ev}")
+            lines.append("")
+
+        lines.extend(["---", ""])
+
+    # Waste pattern appendix
+    lines.extend([
+        "## Appendix: Detected Waste Patterns",
+        "",
+        "| Type | Description | Occurrences | Hours |",
+        "|------|-------------|-------------|-------|",
+    ])
+    for p in patterns[:20]:
+        lines.append(
+            f"| {p.pattern_type} | {p.description[:60]} | {p.occurrences} | {p.total_time_hours}h |"
+        )
+    lines.append("")
+
+    return "\n".join(lines)
+
+
+def format_proposals_json(proposals: List[ImprovementProposal]) -> str:
+    """Format proposals as JSON."""
+    return json.dumps(
+        [asdict(p) for p in proposals],
+        indent=2,
+        default=str,
+    )
+
+
+# ── Main ──────────────────────────────────────────────────────
+
+def main():
+    parser = argparse.ArgumentParser(description="Generate improvement proposals from session analytics")
+    parser.add_argument("--input", required=True, help="Path to session analytics JSON file")
+    parser.add_argument("--output", help="Output file path (default: stdout)")
+    parser.add_argument("--format", choices=["markdown", "json"], default="markdown", help="Output format")
+    parser.add_argument("--hourly-rate", type=float, default=50.0, help="Developer hourly rate for ROI calc")
+    parser.add_argument("--threshold", type=float, default=2.0, help="Min monthly hours to include proposal")
+
+    args = parser.parse_args()
+
+    with open(args.input) as f:
+        data = json.load(f)
+
+    sessions = data if isinstance(data, list) else data.get("sessions", [])
+
+    if not sessions:
+        print("No sessions found in input file.", file=sys.stderr)
+        sys.exit(1)
+
+    # Analyze
+    patterns = analyze_sessions(sessions)
+    proposals = generate_proposals(patterns, hourly_rate=args.hourly_rate)
+
+    # Filter by threshold
+    proposals = [p for p in proposals if p.estimated_monthly_hours_saved >= args.threshold]
+
+    generated_at = datetime.now(timezone.utc).isoformat()
+
+    if args.format == "markdown":
+        output = format_proposals_markdown(proposals, patterns, generated_at)
+    else:
+        output = format_proposals_json(proposals)
+
+    if args.output:
+        with open(args.output, "w") as f:
+            f.write(output)
+        print(f"Wrote {len(proposals)} proposals to {args.output}", file=sys.stderr)
+    else:
+        print(output)
+
+
+if __name__ == "__main__":
+    main()

scripts/knowledge_staleness_check.py

@@ -0,0 +1,131 @@
+#!/usr/bin/env python3
+"""
+Knowledge Store Staleness Detector — Detect stale knowledge entries by comparing source file hashes.
+
+Usage:
+    python3 scripts/knowledge_staleness_check.py --index knowledge/index.json
+    python3 scripts/knowledge_staleness_check.py --index knowledge/index.json --json
+    python3 scripts/knowledge_staleness_check.py --index knowledge/index.json --fix
+"""
+
+import argparse
+import hashlib
+import json
+import os
+import sys
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Dict, List, Any, Optional
+
+
+def compute_file_hash(filepath: str) -> Optional[str]:
+    """Compute SHA-256 hash of a file. Returns None if file doesn't exist."""
+    try:
+        with open(filepath, "rb") as f:
+            return "sha256:" + hashlib.sha256(f.read()).hexdigest()
+    except (FileNotFoundError, IsADirectoryError, PermissionError):
+        return None
+
+
+def check_staleness(index_path: str, repo_root: str = ".") -> List[Dict[str, Any]]:
+    """Check all entries in knowledge index for staleness.
+    
+    Returns list of entries with staleness info:
+    - status: "fresh" | "stale" | "missing_source" | "no_hash"
+    - current_hash: computed hash (if source exists)
+    - stored_hash: hash from index
+    """
+    with open(index_path) as f:
+        data = json.load(f)
+
+    facts = data.get("facts", [])
+    results = []
+
+    for entry in facts:
+        source_file = entry.get("source_file")
+        stored_hash = entry.get("source_hash")
+
+        if not source_file:
+            results.append({**entry, "status": "no_source", "current_hash": None})
+            continue
+
+        full_path = os.path.join(repo_root, source_file)
+        current_hash = compute_file_hash(full_path)
+
+        if current_hash is None:
+            results.append({**entry, "status": "missing_source", "current_hash": None})
+        elif not stored_hash:
+            results.append({**entry, "status": "no_hash", "current_hash": current_hash})
+        elif current_hash != stored_hash:
+            results.append({**entry, "status": "stale", "current_hash": current_hash})
+        else:
+            results.append({**entry, "status": "fresh", "current_hash": current_hash})
+
+    return results
+
+
+def fix_hashes(index_path: str, repo_root: str = ".") -> int:
+    """Add hashes to entries missing them. Returns count of fixed entries."""
+    with open(index_path) as f:
+        data = json.load(f)
+
+    fixed = 0
+    for entry in data.get("facts", []):
+        if entry.get("source_hash"):
+            continue
+        source_file = entry.get("source_file")
+        if not source_file:
+            continue
+        full_path = os.path.join(repo_root, source_file)
+        h = compute_file_hash(full_path)
+        if h:
+            entry["source_hash"] = h
+            fixed += 1
+
+    with open(index_path, "w") as f:
+        json.dump(data, f, indent=2)
+
+    return fixed
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Check knowledge store staleness")
+    parser.add_argument("--index", required=True, help="Path to knowledge/index.json")
+    parser.add_argument("--repo", default=".", help="Repo root for source file resolution")
+    parser.add_argument("--json", action="store_true", help="Output as JSON")
+    parser.add_argument("--fix", action="store_true", help="Add hashes to entries missing them")
+
+    args = parser.parse_args()
+
+    if args.fix:
+        fixed = fix_hashes(args.index, args.repo)
+        print(f"Fixed {fixed} entries with missing hashes.")
+        return
+
+    results = check_staleness(args.index, args.repo)
+
+    if args.json:
+        print(json.dumps(results, indent=2))
+    else:
+        stale = [r for r in results if r["status"] != "fresh"]
+        fresh = [r for r in results if r["status"] == "fresh"]
+
+        print(f"Knowledge Store Staleness Check")
+        print(f"  Total entries: {len(results)}")
+        print(f"  Fresh: {len(fresh)}")
+        print(f"  Stale/Issues: {len(stale)}")
+        print()
+
+        if stale:
+            print("Issues found:")
+            for r in stale:
+                status = r["status"]
+                fact = r.get("fact", "?")[:60]
+                source = r.get("source_file", "?")
+                print(f"  [{status}] {source}: {fact}")
+        else:
+            print("All entries are fresh!")
+
+
+if __name__ == "__main__":
+    main()

scripts/test_harvest_prompt_comprehensive.py

@@ -0,0 +1,212 @@
+#!/usr/bin/env python3
+"""
+Comprehensive test script for knowledge extraction prompt.
+Validates prompt structure, requirements, and consistency.
+"""
+
+import json
+import re
+from pathlib import Path
+
+def test_prompt_structure():
+    """Test that the prompt has the required structure."""
+    prompt_path = Path("templates/harvest-prompt.md")
+    if not prompt_path.exists():
+        return False, "harvest-prompt.md not found"
+    
+    content = prompt_path.read_text()
+    
+    # Check for required sections
+    required_sections = [
+        "System Prompt",
+        "Instructions", 
+        "Categories",
+        "Output Format",
+        "Confidence Scoring",
+        "Constraints",
+        "Example"
+    ]
+    
+    for section in required_sections:
+        if section.lower() not in content.lower():
+            return False, f"Missing required section: {section}"
+    
+    # Check for required categories
+    required_categories = ["fact", "pitfall", "pattern", "tool-quirk", "question"]
+    for category in required_categories:
+        if category not in content:
+            return False, f"Missing required category: {category}"
+    
+    # Check for required output fields
+    required_fields = ["fact", "category", "repo", "confidence"]
+    for field in required_fields:
+        if field not in content:
+            return False, f"Missing required output field: {field}"
+    
+    # Check prompt size (should be ~1k tokens, roughly 4k chars)
+    if len(content) > 5000:
+        return False, f"Prompt too large: {len(content)} chars (max ~5000)"
+    
+    if len(content) < 1000:
+        return False, f"Prompt too small: {len(content)} chars (min ~1000)"
+    
+    return True, "Prompt structure is valid"
+
+def test_confidence_scoring():
+    """Test that confidence scoring is properly defined."""
+    prompt_path = Path("templates/harvest-prompt.md")
+    content = prompt_path.read_text()
+    
+    # Check for confidence scale definitions
+    confidence_levels = [
+        ("0.9-1.0", "explicitly stated"),
+        ("0.7-0.8", "clearly implied"),
+        ("0.5-0.6", "suggested"),
+        ("0.3-0.4", "inferred"),
+        ("0.1-0.2", "speculative")
+    ]
+    
+    for level, description in confidence_levels:
+        if level not in content:
+            return False, f"Missing confidence level: {level}"
+        if description.lower() not in content.lower():
+            return False, f"Missing confidence description: {description}"
+    
+    return True, "Confidence scoring is properly defined"
+
+def test_example_quality():
+    """Test that examples are clear and complete."""
+    prompt_path = Path("templates/harvest-prompt.md")
+    content = prompt_path.read_text()
+    
+    # Check for example input/output
+    if "example" not in content.lower():
+        return False, "No examples provided"
+    
+    # Check that example includes all categories
+    example_section = content[content.lower().find("example"):]
+    
+    # Look for JSON example
+    json_match = re.search(r'\{[\s\S]*"knowledge"[\s\S]*\}', example_section)
+    if not json_match:
+        return False, "No JSON example found"
+    
+    example_json = json_match.group(0)
+    
+    # Check for all categories in example
+    for category in ["fact", "pitfall", "pattern", "tool-quirk", "question"]:
+        if category not in example_json:
+            return False, f"Example missing category: {category}"
+    
+    return True, "Examples are clear and complete"
+
+def test_constraint_coverage():
+    """Test that constraints cover all requirements."""
+    prompt_path = Path("templates/harvest-prompt.md")
+    content = prompt_path.read_text()
+    
+    required_constraints = [
+        "No hallucination",
+        "only extract",
+        "explicitly",
+        "partial",
+        "failed sessions",
+        "1k tokens"
+    ]
+    
+    for constraint in required_constraints:
+        if constraint.lower() not in content.lower():
+            return False, f"Missing constraint: {constraint}"
+    
+    return True, "Constraints cover all requirements"
+
+def test_test_sessions():
+    """Test that test sessions exist and are valid."""
+    test_sessions_dir = Path("test_sessions")
+    if not test_sessions_dir.exists():
+        return False, "test_sessions directory not found"
+    
+    session_files = list(test_sessions_dir.glob("*.jsonl"))
+    if len(session_files) < 5:
+        return False, f"Only {len(session_files)} test sessions found, need 5"
+    
+    # Check each session file
+    for session_file in session_files:
+        content = session_file.read_text()
+        lines = content.strip().split("\n")
+        
+        # Check that each line is valid JSON
+        for i, line in enumerate(lines, 1):
+            try:
+                json.loads(line)
+            except json.JSONDecodeError as e:
+                return False, f"Invalid JSON in {session_file.name}, line {i}: {e}"
+    
+    return True, f"Found {len(session_files)} valid test sessions"
+
+def run_all_tests():
+    """Run all tests and return results."""
+    tests = [
+        ("Prompt Structure", test_prompt_structure),
+        ("Confidence Scoring", test_confidence_scoring),
+        ("Example Quality", test_example_quality),
+        ("Constraint Coverage", test_constraint_coverage),
+        ("Test Sessions", test_test_sessions)
+    ]
+    
+    results = []
+    all_passed = True
+    
+    for test_name, test_func in tests:
+        try:
+            passed, message = test_func()
+            results.append({
+                "test": test_name,
+                "passed": passed,
+                "message": message
+            })
+            if not passed:
+                all_passed = False
+        except Exception as e:
+            results.append({
+                "test": test_name,
+                "passed": False,
+                "message": f"Error: {str(e)}"
+            })
+            all_passed = False
+    
+    # Print results
+    print("=" * 60)
+    print("HARVEST PROMPT TEST RESULTS")
+    print("=" * 60)
+    
+    for result in results:
+        status = "✓ PASS" if result["passed"] else "✗ FAIL"
+        print(f"{status}: {result['test']}")
+        print(f"  {result['message']}")
+        print()
+    
+    print("=" * 60)
+    if all_passed:
+        print("ALL TESTS PASSED!")
+    else:
+        print("SOME TESTS FAILED!")
+    print("=" * 60)
+    
+    return all_passed, results
+
+if __name__ == "__main__":
+    all_passed, results = run_all_tests()
+    
+    # Save results to file
+    with open("test_results.json", "w") as f:
+        json.dump({
+            "all_passed": all_passed,
+            "results": results,
+            "timestamp": "2026-04-14T19:05:00Z"
+        }, f, indent=2)
+    
+    print(f"Results saved to test_results.json")
+    
+    # Exit with appropriate code
+    exit(0 if all_passed else 1)

scripts/test_improvement_proposals.py

@@ -0,0 +1,282 @@
+#!/usr/bin/env python3
+"""Tests for scripts/improvement_proposals.py — 15 tests."""
+
+import json
+import os
+import sys
+import tempfile
+
+sys.path.insert(0, os.path.dirname(__file__) or ".")
+import importlib.util
+
+spec = importlib.util.spec_from_file_location(
+    "ip", os.path.join(os.path.dirname(__file__) or ".", "improvement_proposals.py")
+)
+mod = importlib.util.module_from_spec(spec)
+spec.loader.exec_module(mod)
+
+analyze_sessions = mod.analyze_sessions
+generate_proposals = mod.generate_proposals
+format_proposals_markdown = mod.format_proposals_markdown
+format_proposals_json = mod.format_proposals_json
+_normalize_error = mod._normalize_error
+
+
+# ── Helper to build test sessions ─────────────────────────────
+
+def _make_session(session_id, repo="test-repo", errors=None, tool_calls=None, duration=30):
+    return {
+        "session_id": session_id,
+        "repo": repo,
+        "errors": [{"message": e} for e in (errors or [])],
+        "tool_calls": tool_calls or [],
+        "duration_minutes": duration,
+        "messages": [],
+    }
+
+
+def _make_tool_calls(repeats):
+    """Create tool call list with repeated tools."""
+    calls = []
+    for tool, count in repeats:
+        for _ in range(count):
+            calls.append({"tool": tool, "latency_ms": 100})
+    return calls
+
+
+# ── Tests ─────────────────────────────────────────────────────
+
+def test_empty_sessions():
+    patterns = analyze_sessions([])
+    assert patterns == []
+    print("PASS: test_empty_sessions")
+
+
+def test_no_patterns_on_clean_sessions():
+    sessions = [
+        _make_session("s1", tool_calls=[{"tool": "read_file", "latency_ms": 50}]),
+        _make_session("s2", tool_calls=[{"tool": "write_file", "latency_ms": 80}]),
+    ]
+    patterns = analyze_sessions(sessions)
+    # No repeated errors, no slow tools, no retries
+    assert len(patterns) == 0
+    print("PASS: test_no_patterns_on_clean_sessions")
+
+
+def test_repeated_error_detection():
+    """Same error across 3+ sessions triggers pattern."""
+    sessions = [
+        _make_session(f"s{i}", errors=["ModuleNotFoundError: No module named bannerlord_trace"])
+        for i in range(4)
+    ]
+    patterns = analyze_sessions(sessions)
+    repeated = [p for p in patterns if p.pattern_type == "repeated_error"]
+    assert len(repeated) == 1
+    assert repeated[0].occurrences == 4
+    print("PASS: test_repeated_error_detection")
+
+
+def test_repeated_error_threshold():
+    """2 occurrences should NOT trigger (threshold is 3)."""
+    sessions = [
+        _make_session("s1", errors=["TimeoutError: connection timed out"]),
+        _make_session("s2", errors=["TimeoutError: connection timed out"]),
+    ]
+    patterns = analyze_sessions(sessions)
+    repeated = [p for p in patterns if p.pattern_type == "repeated_error"]
+    assert len(repeated) == 0
+    print("PASS: test_repeated_error_threshold")
+
+
+def test_slow_tool_detection():
+    """Tool with avg latency > 5000ms across 5+ calls."""
+    calls = [{"tool": "git_push", "latency_ms": 8000} for _ in range(10)]
+    sessions = [_make_session("s1", tool_calls=calls)]
+    patterns = analyze_sessions(sessions)
+    slow = [p for p in patterns if p.pattern_type == "slow_tool"]
+    assert len(slow) == 1
+    assert "git_push" in slow[0].description
+    print("PASS: test_slow_tool_detection")
+
+
+def test_fast_tool_not_flagged():
+    """Tool under 5000ms avg should not trigger."""
+    calls = [{"tool": "read_file", "latency_ms": 50} for _ in range(10)]
+    sessions = [_make_session("s1", tool_calls=calls)]
+    patterns = analyze_sessions(sessions)
+    slow = [p for p in patterns if p.pattern_type == "slow_tool"]
+    assert len(slow) == 0
+    print("PASS: test_fast_tool_not_flagged")
+
+
+def test_failed_retry_detection():
+    """3+ consecutive calls to same tool triggers retry pattern."""
+    calls = _make_tool_calls([("execute_code", 5)])
+    sessions = [_make_session("s1", tool_calls=calls)]
+    sessions.extend([
+        _make_session(f"s{i}", tool_calls=_make_tool_calls([("execute_code", 4)]))
+        for i in range(2, 5)
+    ])
+    patterns = analyze_sessions(sessions)
+    retries = [p for p in patterns if p.pattern_type == "failed_retry"]
+    assert len(retries) >= 1
+    print("PASS: test_failed_retry_detection")
+
+
+def test_manual_process_detection():
+    """10+ tool calls with <= 3 unique tools."""
+    calls = _make_tool_calls([("terminal", 8), ("read_file", 5)])
+    sessions = [_make_session("s1", tool_calls=calls, duration=25)]
+    patterns = analyze_sessions(sessions)
+    manual = [p for p in patterns if p.pattern_type == "manual_process"]
+    assert len(manual) == 1
+    print("PASS: test_manual_process_detection")
+
+
+def test_generate_proposals_from_patterns():
+    """Proposals generated from waste patterns."""
+    sessions = [
+        _make_session(f"s{i}", errors=["Error: push timeout"])
+        for i in range(5)
+    ]
+    patterns = analyze_sessions(sessions)
+    proposals = generate_proposals(patterns)
+    assert len(proposals) >= 1
+    assert proposals[0].estimated_monthly_hours_saved > 0
+    assert proposals[0].priority in ("critical", "high", "medium", "low")
+    print("PASS: test_generate_proposals_from_patterns")
+
+
+def test_proposal_roi_positive():
+    """ROI weeks should be a positive number for recoverable time."""
+    patterns = [mod.WastePattern(
+        pattern_type="repeated_error",
+        description="Test error",
+        occurrences=10,
+        total_time_hours=5.0,
+        affected_repos=["test"],
+    )]
+    proposals = generate_proposals(patterns)
+    assert len(proposals) == 1
+    assert proposals[0].roi_weeks > 0
+    assert proposals[0].roi_weeks < 100
+    print("PASS: test_proposal_roi_positive")
+
+
+def test_proposals_sorted_by_impact():
+    """Proposals should be sorted by monthly hours saved (descending)."""
+    sessions = [
+        _make_session("s1", errors=["Minor warning"] * 3, duration=5),
+        _make_session("s2", errors=["Critical failure: deploy crashed"] * 5, duration=60),
+    ]
+    # Add more sessions to cross threshold
+    for i in range(3, 7):
+        sessions.append(_make_session(f"s{i}", errors=["Critical failure: deploy crashed"]))
+
+    patterns = analyze_sessions(sessions)
+    proposals = generate_proposals(patterns)
+    if len(proposals) >= 2:
+        for i in range(len(proposals) - 1):
+            assert proposals[i].estimated_monthly_hours_saved >= proposals[i + 1].estimated_monthly_hours_saved
+    print("PASS: test_proposals_sorted_by_impact")
+
+
+def test_format_markdown():
+    """Markdown output should contain expected sections."""
+    patterns = [mod.WastePattern(
+        pattern_type="repeated_error", description="Test", occurrences=5,
+        total_time_hours=2.5, affected_repos=["repo"],
+    )]
+    proposals = generate_proposals(patterns)
+    md = format_proposals_markdown(proposals, patterns, "2026-04-15T00:00:00Z")
+    assert "# Improvement Proposals" in md
+    assert "## Summary" in md
+    assert "### Problem" in md
+    assert "### ROI Estimate" in md
+    assert "## Appendix" in md
+    print("PASS: test_format_markdown")
+
+
+def test_format_json():
+    """JSON output should be valid and parseable."""
+    patterns = [mod.WastePattern(
+        pattern_type="slow_tool", description="Slow", occurrences=10,
+        total_time_hours=3.0, affected_repos=["global"],
+    )]
+    proposals = generate_proposals(patterns)
+    output = format_proposals_json(proposals)
+    parsed = json.loads(output)
+    assert isinstance(parsed, list)
+    assert len(parsed) == len(proposals)
+    assert "title" in parsed[0]
+    assert "roi_weeks" in parsed[0]
+    print("PASS: test_format_json")
+
+
+def test_normalize_error():
+    """Error normalization should remove paths and hashes."""
+    err1 = _normalize_error("Failed to clone /Users/apayne/repo with token abc123def456")
+    assert "/PATH" in err1
+    assert "HASH" in err1
+    assert "/Users/apayne" not in err1
+
+    err2 = _normalize_error("")
+    assert err2 == ""
+
+    err3 = _normalize_error("Simple error message")
+    assert "simple error" in err3
+    print("PASS: test_normalize_error")
+
+
+def test_cli_integration():
+    """End-to-end test: write input JSON, run script, check output."""
+    import subprocess
+
+    sessions = [
+        _make_session(f"s{i}", errors=["Connection refused: port 8080"])
+        for i in range(5)
+    ]
+
+    with tempfile.TemporaryDirectory() as tmpdir:
+        input_path = os.path.join(tmpdir, "analytics.json")
+        output_path = os.path.join(tmpdir, "proposals.md")
+
+        with open(input_path, "w") as f:
+            json.dump({"sessions": sessions}, f)
+
+        script = os.path.join(os.path.dirname(__file__) or ".", "improvement_proposals.py")
+        result = subprocess.run(
+            [sys.executable, script, "--input", input_path, "--output", output_path],
+            capture_output=True, text=True, timeout=10,
+        )
+
+        assert result.returncode == 0, f"CLI failed: {result.stderr}"
+        assert os.path.exists(output_path)
+
+        with open(output_path) as f:
+            content = f.read()
+        assert "# Improvement Proposals" in content
+        print("PASS: test_cli_integration")
+
+
+def run_all():
+    test_empty_sessions()
+    test_no_patterns_on_clean_sessions()
+    test_repeated_error_detection()
+    test_repeated_error_threshold()
+    test_slow_tool_detection()
+    test_fast_tool_not_flagged()
+    test_failed_retry_detection()
+    test_manual_process_detection()
+    test_generate_proposals_from_patterns()
+    test_proposal_roi_positive()
+    test_proposals_sorted_by_impact()
+    test_format_markdown()
+    test_format_json()
+    test_normalize_error()
+    test_cli_integration()
+    print("\nAll 15 tests passed!")
+
+
+if __name__ == "__main__":
+    run_all()

scripts/test_knowledge_staleness.py

@@ -0,0 +1,129 @@
+#!/usr/bin/env python3
+"""Tests for scripts/knowledge_staleness_check.py — 8 tests."""
+
+import json
+import os
+import sys
+import tempfile
+
+sys.path.insert(0, os.path.dirname(__file__) or ".")
+import importlib.util
+spec = importlib.util.spec_from_file_location("ks", os.path.join(os.path.dirname(__file__) or ".", "knowledge_staleness_check.py"))
+mod = importlib.util.module_from_spec(spec)
+spec.loader.exec_module(mod)
+check_staleness = mod.check_staleness
+fix_hashes = mod.fix_hashes
+compute_file_hash = mod.compute_file_hash
+
+
+def test_fresh_entry():
+    with tempfile.TemporaryDirectory() as tmpdir:
+        src = os.path.join(tmpdir, "source.py")
+        with open(src, "w") as f:
+            f.write("print('hello')")
+        h = compute_file_hash(src)
+        idx = os.path.join(tmpdir, "index.json")
+        with open(idx, "w") as f:
+            json.dump({"facts": [{"fact": "hello", "source_file": "source.py", "source_hash": h}]}, f)
+        results = check_staleness(idx, tmpdir)
+        assert results[0]["status"] == "fresh"
+        print("PASS: test_fresh_entry")
+
+
+def test_stale_entry():
+    with tempfile.TemporaryDirectory() as tmpdir:
+        src = os.path.join(tmpdir, "source.py")
+        with open(src, "w") as f:
+            f.write("original content")
+        idx = os.path.join(tmpdir, "index.json")
+        with open(idx, "w") as f:
+            json.dump({"facts": [{"fact": "old", "source_file": "source.py", "source_hash": "sha256:wrong"}]}, f)
+        # Now change the source
+        with open(src, "w") as f:
+            f.write("modified content")
+        results = check_staleness(idx, tmpdir)
+        assert results[0]["status"] == "stale"
+        print("PASS: test_stale_entry")
+
+
+def test_missing_source():
+    with tempfile.TemporaryDirectory() as tmpdir:
+        idx = os.path.join(tmpdir, "index.json")
+        with open(idx, "w") as f:
+            json.dump({"facts": [{"fact": "gone", "source_file": "nonexistent.py", "source_hash": "sha256:abc"}]}, f)
+        results = check_staleness(idx, tmpdir)
+        assert results[0]["status"] == "missing_source"
+        print("PASS: test_missing_source")
+
+
+def test_no_hash():
+    with tempfile.TemporaryDirectory() as tmpdir:
+        src = os.path.join(tmpdir, "source.py")
+        with open(src, "w") as f:
+            f.write("content")
+        idx = os.path.join(tmpdir, "index.json")
+        with open(idx, "w") as f:
+            json.dump({"facts": [{"fact": "no hash", "source_file": "source.py"}]}, f)
+        results = check_staleness(idx, tmpdir)
+        assert results[0]["status"] == "no_hash"
+        assert results[0]["current_hash"].startswith("sha256:")
+        print("PASS: test_no_hash")
+
+
+def test_no_source_field():
+    with tempfile.TemporaryDirectory() as tmpdir:
+        idx = os.path.join(tmpdir, "index.json")
+        with open(idx, "w") as f:
+            json.dump({"facts": [{"fact": "orphan"}]}, f)
+        results = check_staleness(idx, tmpdir)
+        assert results[0]["status"] == "no_source"
+        print("PASS: test_no_source_field")
+
+
+def test_fix_hashes():
+    with tempfile.TemporaryDirectory() as tmpdir:
+        src = os.path.join(tmpdir, "source.py")
+        with open(src, "w") as f:
+            f.write("content for hashing")
+        idx = os.path.join(tmpdir, "index.json")
+        with open(idx, "w") as f:
+            json.dump({"facts": [{"fact": "needs hash", "source_file": "source.py"}]}, f)
+        fixed = fix_hashes(idx, tmpdir)
+        assert fixed == 1
+        # Verify hash was added
+        with open(idx) as f:
+            data = json.load(f)
+        assert data["facts"][0]["source_hash"].startswith("sha256:")
+        print("PASS: test_fix_hashes")
+
+
+def test_empty_index():
+    with tempfile.TemporaryDirectory() as tmpdir:
+        idx = os.path.join(tmpdir, "index.json")
+        with open(idx, "w") as f:
+            json.dump({"facts": []}, f)
+        results = check_staleness(idx, tmpdir)
+        assert results == []
+        print("PASS: test_empty_index")
+
+
+def test_compute_hash_nonexistent():
+    h = compute_file_hash("/nonexistent/path/file.py")
+    assert h is None
+    print("PASS: test_compute_hash_nonexistent")
+
+
+def run_all():
+    test_fresh_entry()
+    test_stale_entry()
+    test_missing_source()
+    test_no_hash()
+    test_no_source_field()
+    test_fix_hashes()
+    test_empty_index()
+    test_compute_hash_nonexistent()
+    print("\nAll 8 tests passed!")
+
+
+if __name__ == "__main__":
+    run_all()

test_sessions/session_failure.jsonl

@@ -0,0 +1,18 @@
+{"role": "user", "content": "Deploy the application to production"}
+{"role": "assistant", "content": "I'll deploy the application to production.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ssh deploy@prod-server 'cd /app && git pull && docker-compose up -d'"}}]}
+{"role": "tool", "content": "ssh: connect to host prod-server port 22: Connection refused"}
+{"role": "assistant", "content": "Connection refused. Let me check the server status.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ping -c 3 prod-server"}}]}
+{"role": "tool", "content": "PING prod-server (192.168.1.100): 56 data bytes\nRequest timeout for icmp_seq 0\nRequest timeout for icmp_seq 1\nRequest timeout for icmp_seq 2\n--- prod-server ping statistics ---\n3 packets transmitted, 0 packets received, 100.0% packet loss"}
+{"role": "assistant", "content": "The server appears to be down. Let me check if there's an alternative deployment method."}
+{"role": "user", "content": "Try using the VPS instead"}
+{"role": "assistant", "content": "I'll try deploying to the VPS.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ssh deploy@vps-server 'cd /app && git pull && docker-compose up -d'"}}]}
+{"role": "tool", "content": "Permission denied (publickey)."}
+{"role": "assistant", "content": "Permission denied. The SSH key might not be set up correctly. Let me check the SSH configuration.", "tool_calls": [{"function": "terminal", "arguments": {"command": "cat ~/.ssh/config"}}]}
+{"role": "tool", "content": "Host vps-server\n    HostName 167.99.126.228\n    User deploy\n    IdentityFile ~/.ssh/id_rsa_vps"}
+{"role": "assistant", "content": "The SSH config looks correct. Let me check if the key exists.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ls -la ~/.ssh/id_rsa_vps"}}]}
+{"role": "tool", "content": "ls: /Users/user/.ssh/id_rsa_vps: No such file or directory"}
+{"role": "assistant", "content": "The SSH key doesn't exist. This is a pitfall - we need to generate the SSH key first."}
+{"role": "user", "content": "Generate a new SSH key for the VPS"}
+{"role": "assistant", "content": "I'll generate a new SSH key.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ssh-keygen -t rsa -b 4096 -f ~/.ssh/id_rsa_vps -N ''"}}]}
+{"role": "tool", "content": "Generating public/private rsa key pair.\nYour identification has been saved in /Users/user/.ssh/id_rsa_vps\nYour public key has been saved in /Users/user/.ssh/id_rsa_vps.pub\nThe key fingerprint is:\nSHA256:abc123... user@machine"}
+{"role": "assistant", "content": "SSH key generated. Now I need to add it to the VPS."}

test_sessions/session_partial.jsonl

@@ -0,0 +1,14 @@
+{"role": "user", "content": "Check the Gitea API for open issues"}
+{"role": "assistant", "content": "I'll check the Gitea API for open issues.", "tool_calls": [{"function": "terminal", "arguments": {"command": "curl -H 'Authorization: token $GITEA_TOKEN' https://forge.alexanderwhitestone.com/api/v1/repos/Timmy_Foundation/compounding-intelligence/issues?state=open"}}]}
+{"role": "tool", "content": "curl: (6) Could not resolve host: forge.alexanderwhitestone.com"}
+{"role": "assistant", "content": "DNS resolution failed. Let me check the network connectivity.", "tool_calls": [{"function": "terminal", "arguments": {"command": "nslookup forge.alexanderwhitestone.com"}}]}
+{"role": "tool", "content": "Server:		8.8.8.8\nAddress:	8.8.8.8#53\n\n** server can't find forge.alexanderwhitestone.com: NXDOMAIN"}
+{"role": "assistant", "content": "The domain doesn't resolve. This might be a DNS issue. Let me try using the IP address directly.", "tool_calls": [{"function": "terminal", "arguments": {"command": "curl -H 'Authorization: token $GITEA_TOKEN' https://167.99.126.228/api/v1/repos/Timmy_Foundation/compounding-intelligence/issues?state=open"}}]}
+{"role": "tool", "content": "curl: (60) SSL certificate problem: self signed certificate"}
+{"role": "assistant", "content": "SSL certificate issue. The server is using a self-signed certificate. Let me try with -k flag to skip SSL verification.", "tool_calls": [{"function": "terminal", "arguments": {"command": "curl -k -H 'Authorization: token $GITEA_TOKEN' https://167.99.126.228/api/v1/repos/Timmy_Foundation/compounding-intelligence/issues?state=open"}}]}
+{"role": "tool", "content": "[]"}
+{"role": "assistant", "content": "No open issues found. The API returned an empty array."}
+{"role": "user", "content": "Check if there are any pull requests"}
+{"role": "assistant", "content": "Let me check for pull requests.", "tool_calls": [{"function": "terminal", "arguments": {"command": "curl -k -H 'Authorization: token $GITEA_TOKEN' https://167.99.126.228/api/v1/repos/Timmy_Foundation/compounding-intelligence/pulls?state=open"}}]}
+{"role": "tool", "content": "[{"id": 20, "title": "feat: add harvester.py + session_reader.py — session knowledge extractor (closes #8)", "state": "open", "user": {"login": "Rockachopa"}, "created_at": "2026-04-14T17:28:20Z"}]"}
+{"role": "assistant", "content": "Found 1 open pull request: PR #20 - "feat: add harvester.py + session_reader.py — session knowledge extractor (closes #8)" by Rockachopa."}

test_sessions/session_patterns.jsonl

@@ -0,0 +1,10 @@
+{"role": "user", "content": "How do I deploy a new version of the application?"}
+{"role": "assistant", "content": "Here's the deployment process:\n1. Run tests: pytest\n2. Build Docker image: docker build -t app:latest .\n3. Push to registry: docker push registry.example.com/app:latest\n4. Update production: ssh prod 'cd /app && docker-compose pull && docker-compose up -d'\n5. Verify: curl https://app.example.com/health"}
+{"role": "user", "content": "What if tests fail?"}
+{"role": "assistant", "content": "If tests fail:\n1. Check the error logs: pytest -v\n2. Fix the failing tests\n3. Re-run tests: pytest\n4. If still failing, check recent changes: git log --oneline -10\n5. Consider reverting: git revert HEAD"}
+{"role": "user", "content": "What if the Docker build fails?"}
+{"role": "assistant", "content": "If Docker build fails:\n1. Check Dockerfile syntax: docker build --no-cache -t app:latest .\n2. Check for missing dependencies: cat requirements.txt\n3. Check disk space: df -h\n4. Clean up Docker: docker system prune -f\n5. Try building with verbose output: docker build --progress=plain -t app:latest ."}
+{"role": "user", "content": "What if the push to registry fails?"}
+{"role": "assistant", "content": "If push to registry fails:\n1. Check registry credentials: docker login registry.example.com\n2. Check registry space: curl https://registry.example.com/v2/_catalog\n3. Check image size: docker images app:latest\n4. Try tagging with version: docker tag app:latest registry.example.com/app:v1.0.0\n5. Push with version tag: docker push registry.example.com/app:v1.0.0"}
+{"role": "user", "content": "What if the production update fails?"}
+{"role": "assistant", "content": "If production update fails:\n1. Check SSH connection: ssh prod 'echo connected'\n2. Check disk space on prod: ssh prod 'df -h'\n3. Check Docker status: ssh prod 'docker ps -a'\n4. Check logs: ssh prod 'docker-compose logs --tail=100'\n5. Rollback: ssh prod 'cd /app && git checkout HEAD~1 && docker-compose up -d'"}

test_sessions/session_questions.jsonl

@@ -0,0 +1,12 @@
+{"role": "user", "content": "I need to implement a new feature for the application"}
+{"role": "assistant", "content": "I can help you implement a new feature. What feature would you like to add?"}
+{"role": "user", "content": "I want to add user authentication"}
+{"role": "assistant", "content": "User authentication is a good feature. I have a few questions:\n1. What authentication method do you prefer? (JWT, OAuth, Session-based)\n2. Do you need social login? (Google, GitHub, etc.)\n3. What user data do you need to store?\n4. Do you need role-based access control?\n5. What's your database? (PostgreSQL, MySQL, SQLite)"}
+{"role": "user", "content": "I prefer JWT, no social login, just email and password, no roles, PostgreSQL"}
+{"role": "assistant", "content": "Great choices. Here's the implementation plan:\n1. Create user model with email and password hash\n2. Create JWT token generation and validation\n3. Create login endpoint: POST /api/auth/login\n4. Create register endpoint: POST /api/auth/register\n5. Create middleware for protected routes\n6. Add password hashing with bcrypt\n7. Add rate limiting for login attempts\n8. Add password reset functionality\n9. Add email verification\n10. Test all endpoints"}
+{"role": "user", "content": "What about password reset?"}
+{"role": "assistant", "content": "For password reset:\n1. Create reset token table\n2. Create forgot password endpoint: POST /api/auth/forgot-password\n3. Send reset email with token\n4. Create reset password endpoint: POST /api/auth/reset-password\n5. Validate reset token and expiration\n6. Update password and delete token\n7. Send confirmation email"}
+{"role": "user", "content": "What about email verification?"}
+{"role": "assistant", "content": "For email verification:\n1. Add email_verified field to user model\n2. Create verification token table\n3. Send verification email on registration\n4. Create verify email endpoint: GET /api/auth/verify-email?token=...\n5. Validate token and update email_verified\n6. Add middleware to check email_verified for certain routes\n7. Add resend verification email endpoint"}
+{"role": "user", "content": "What about rate limiting?"}
+{"role": "assistant", "content": "For rate limiting:\n1. Use Redis for rate limit storage\n2. Create rate limit middleware\n3. Set limits: 5 login attempts per minute, 3 password resets per hour\n4. Return 429 Too Many Requests when limit exceeded\n5. Add X-RateLimit headers to responses\n6. Log rate limit violations\n7. Add whitelist for trusted IPs"}

test_sessions/session_success.jsonl

@@ -0,0 +1,13 @@
+{"role": "user", "content": "Clone the repo at forge.alexanderwhitestone.com/Timmy_Foundation/compounding-intelligence"}
+{"role": "assistant", "content": "I'll clone the repository for you.", "tool_calls": [{"function": "terminal", "arguments": {"command": "git clone https://forge.alexanderwhitestone.com/Timmy_Foundation/compounding-intelligence.git"}}]}
+{"role": "tool", "content": "Cloning into 'compounding-intelligence'...\nremote: Enumerating objects: 15, done.\nremote: Counting objects: 100% (15/15), done.\nremote: Compressing objects: 100% (12/12), done.\nremote: Total 15 (delta 2), reused 0 (delta 0), pack-reused 0\nReceiving objects: 100% (15/15), done.\nResolving deltas: 100% (2/2), done."}
+{"role": "assistant", "content": "Repository cloned successfully. Let me check the structure.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ls -la compounding-intelligence/"}}]}
+{"role": "tool", "content": "total 8\ndrwxr-xr-x   5 user  staff  160 Apr 14 17:21 .\ndrwxr-xr-x  12 user  staff  384 Apr 14 17:21 ..\ndrwxr-xr-x  13 user  staff  416 Apr 14 17:21 .git\n-rw-r--r--   1 user  staff  1234 Apr 14 17:21 README.md\ndrwxr-xr-x   3 user  staff   96 Apr 14 17:21 knowledge\n-rw-r--r--   1 user  staff   456 Apr 14 17:21 metrics\ndrwxr-xr-x   4 user  staff  128 Apr 14 17:21 scripts\ndrwxr-xr-x   3 user  staff   96 Apr 14 17:21 templates"}
+{"role": "user", "content": "What files are in the templates directory?"}
+{"role": "assistant", "content": "Let me check the templates directory.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ls -la compounding-intelligence/templates/"}}]}
+{"role": "tool", "content": "total 0\ndrwxr-xr-x  3 user  staff   96 Apr 14 17:21 .\ndrwxr-xr-x  5 user  staff  160 Apr 14 17:21 ..\n-rw-r--r--  1 user  staff    0 Apr 14 17:21 .gitkeep"}
+{"role": "assistant", "content": "The templates directory currently only contains a .gitkeep file. No templates have been added yet."}
+{"role": "user", "content": "Create a harvest-prompt.md template in the templates directory."}
+{"role": "assistant", "content": "I'll create the harvest-prompt.md template for you.", "tool_calls": [{"function": "terminal", "arguments": {"command": "cat > compounding-intelligence/templates/harvest-prompt.md << 'EOF'\n# Knowledge Extraction Prompt\n\nExtract knowledge from session transcripts.\nEOF"}}]}
+{"role": "tool", "content": ""}
+{"role": "assistant", "content": "Template created successfully. The harvest-prompt.md file is now in the templates directory."}