docs: GENOME.md — full codebase analysis #676

GENOME.md

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+# GENOME.md — compounding-intelligence
+
+*Auto-generated codebase genome. See timmy-home#676.*
+
+---
+
+## Project Overview
+
+**What:** A system that turns 1B+ daily agent tokens into durable, compounding fleet intelligence.
+
+**Why:** Every agent session starts at zero. The same mistakes get made repeatedly — the same HTTP 405 is rediscovered as a branch protection issue, the same token path is searched for from scratch. Intelligence evaporates when the session ends.
+
+**How:** Three pipelines form a compounding loop:
+
+```
+SESSION ENDS → HARVESTER → KNOWLEDGE STORE → BOOTSTRAPPER → NEW SESSION STARTS SMARTER
+                              ↓
+                         MEASURER → Prove it's working
+```
+
+**Status:** Early stage. Template and test scaffolding exist. Core pipeline scripts (harvester.py, bootstrapper.py, measurer.py, session_reader.py) are planned but not yet implemented. The knowledge extraction prompt is complete and validated.
+
+---
+
+## Architecture
+
+```mermaid
+graph TD
+    A[Session Transcript<br/>.jsonl] --> B[Harvester]
+    B --> C{Extract Knowledge}
+    C --> D[knowledge/index.json]
+    C --> E[knowledge/global/*.md]
+    C --> F[knowledge/repos/{repo}.md]
+    C --> G[knowledge/agents/{agent}.md]
+    D --> H[Bootstrapper]
+    H --> I[Bootstrap Context<br/>2k token injection]
+    I --> J[New Session<br/>starts smarter]
+    J --> A
+    D --> K[Measurer]
+    K --> L[metrics/dashboard.md]
+    K --> M[Velocity / Hit Rate<br/>Error Reduction]
+```
+
+### Pipeline 1: Harvester
+
+**Status:** Prompt designed. Script not implemented.
+
+Reads finished session transcripts (JSONL). Uses `templates/harvest-prompt.md` to extract durable knowledge into five categories:
+
+| Category | Description | Example |
+|----------|-------------|---------|
+| `fact` | Concrete, verifiable information | "Repository X has 5 files" |
+| `pitfall` | Errors encountered, wrong assumptions | "Token is at ~/.config/gitea/token, not env var" |
+| `pattern` | Successful action sequences | "Deploy: test → build → push → webhook" |
+| `tool-quirk` | Environment-specific behaviors | "URL format requires trailing slash" |
+| `question` | Identified but unanswered | "Need optimal batch size for harvesting" |
+
+Output schema per knowledge item:
+```json
+{
+  "fact": "One sentence description",
+  "category": "fact|pitfall|pattern|tool-quirk|question",
+  "repo": "repo-name or 'global'",
+  "confidence": 0.0-1.0
+}
+```
+
+### Pipeline 2: Bootstrapper
+
+**Status:** Not implemented.
+
+Queries knowledge store before session start. Assembles a compact 2k-token context from relevant facts. Injects into session startup so the agent begins with full situational awareness.
+
+### Pipeline 3: Measurer
+
+**Status:** Not implemented.
+
+Tracks compounding metrics: knowledge velocity (facts/day), error reduction (%), hit rate (knowledge used / knowledge available), task completion improvement.
+
+---
+
+## Directory Structure
+
+```
+compounding-intelligence/
+├── README.md                           # Project overview and architecture
+├── GENOME.md                           # This file (codebase genome)
+├── knowledge/                          # [PLANNED] Knowledge store
+│   ├── index.json                      # Machine-readable fact index
+│   ├── global/                         # Cross-repo knowledge
+│   ├── repos/{repo}.md                 # Per-repo knowledge
+│   └── agents/{agent}.md               # Agent-type notes
+├── scripts/
+│   ├── test_harvest_prompt.py          # Basic prompt validation (2.5KB)
+│   └── test_harvest_prompt_comprehensive.py  # Full prompt structure test (6.8KB)
+├── templates/
+│   └── harvest-prompt.md               # Knowledge extraction prompt (3.5KB)
+├── test_sessions/
+│   ├── session_success.jsonl           # Happy path test data
+│   ├── session_failure.jsonl           # Failure path test data
+│   ├── session_partial.jsonl           # Incomplete session test data
+│   ├── session_patterns.jsonl          # Pattern extraction test data
+│   └── session_questions.jsonl         # Question identification test data
+└── metrics/                            # [PLANNED] Compounding metrics
+    └── dashboard.md
+```
+
+---
+
+## Entry Points and Data Flow
+
+### Entry Point 1: Knowledge Extraction (Harvester)
+
+```
+Input:  Session transcript (JSONL)
+        ↓
+        templates/harvest-prompt.md (LLM prompt)
+        ↓
+        Knowledge items (JSON array)
+        ↓
+Output: knowledge/index.json + per-repo/per-agent markdown files
+```
+
+### Entry Point 2: Session Bootstrap (Bootstrapper)
+
+```
+Input:  Session context (repo, agent type, task type)
+        ↓
+        knowledge/index.json (query relevant facts)
+        ↓
+        2k-token bootstrap context
+        ↓
+Output: Injected into session startup
+```
+
+### Entry Point 3: Measurement (Measurer)
+
+```
+Input:  knowledge/index.json + session history
+        ↓
+        Velocity, hit rate, error reduction calculations
+        ↓
+Output: metrics/dashboard.md
+```
+
+---
+
+## Key Abstractions
+
+### Knowledge Item
+The atomic unit. One sentence, one category, one confidence score. Designed to be small enough that 1000 items fit in a 2k-token bootstrap context.
+
+### Knowledge Store
+A directory structure that mirrors the fleet's mental model:
+- `global/` — knowledge that applies everywhere (tool quirks, environment facts)
+- `repos/` — knowledge specific to each repo
+- `agents/` — knowledge specific to each agent type
+
+### Confidence Score
+0.0–1.0 scale. Defines how certain the harvester is about each extracted fact:
+- 0.9–1.0: Explicitly stated with verification
+- 0.7–0.8: Clearly implied by multiple data points
+- 0.5–0.6: Suggested but not fully verified
+- 0.3–0.4: Inferred from limited data
+- 0.1–0.2: Speculative or uncertain
+
+### Bootstrap Context
+The 2k-token injection that a new session receives. Assembled from the most relevant knowledge items for the current task, filtered by confidence > 0.7, deduplicated, and compressed.
+
+---
+
+## API Surface
+
+### Internal (scripts not yet implemented)
+
+| Script | Input | Output | Status |
+|--------|-------|--------|--------|
+| `harvester.py` | Session JSONL path | Knowledge items JSON | PLANNED |
+| `bootstrapper.py` | Repo + agent type | 2k-token context string | PLANNED |
+| `measurer.py` | Knowledge store path | Metrics JSON | PLANNED |
+| `session_reader.py` | Session JSONL path | Parsed transcript | PLANNED |
+
+### Prompt (templates/harvest-prompt.md)
+
+The extraction prompt is the core "API." It takes a session transcript and returns structured JSON. It defines:
+- Five extraction categories
+- Output format (JSON array of knowledge items)
+- Confidence scoring rubric
+- Constraints (no hallucination, specificity, relevance, brevity)
+- Example input/output pair
+
+---
+
+## Test Coverage
+
+### What Exists
+
+| File | Tests | Coverage |
+|------|-------|----------|
+| `scripts/test_harvest_prompt.py` | 2 tests | Prompt file existence, sample transcript |
+| `scripts/test_harvest_prompt_comprehensive.py` | 5 tests | Prompt structure, categories, fields, confidence scoring, size limits |
+| `test_sessions/*.jsonl` | 5 sessions | Success, failure, partial, patterns, questions |
+
+### What's Missing
+
+1. **Harvester integration test** — Does the prompt actually extract correct knowledge from real transcripts?
+2. **Bootstrapper test** — Does it assemble relevant context correctly?
+3. **Knowledge store test** — Does the index.json maintain consistency?
+4. **Confidence calibration test** — Do high-confidence facts actually prove true in later sessions?
+5. **Deduplication test** — Are duplicate facts across sessions handled?
+6. **Staleness test** — How does the system handle outdated knowledge?
+
+---
+
+## Security Considerations
+
+1. **No secrets in knowledge store** — The harvester must filter out API keys, tokens, and credentials from extracted facts. The prompt constraints mention this but there is no automated guard.
+
+2. **Knowledge poisoning** — A malicious or corrupted session could inject false facts. Confidence scoring partially mitigates this, but there is no verification step.
+
+3. **Access control** — The knowledge store has no access control. Any process that can read the directory can read all facts. In a multi-tenant setup, this is a concern.
+
+4. **Transcript privacy** — Session transcripts may contain user data. The harvester must not extract personally identifiable information into the knowledge store.
+
+---
+
+## The 100x Path (from README)
+
+```
+Month 1:  15,000 facts, sessions 20% faster
+Month 2:  45,000 facts, sessions 40% faster, first-try success up 30%
+Month 3:  90,000 facts, fleet measurably smarter per token
+```
+
+Each new session is better than the last. The intelligence compounds.
+
+---
+
+*Generated by codebase-genome pipeline. Ref: timmy-home#676.*

scripts/test_harvest_prompt_comprehensive.py

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+#!/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)

test_sessions/session_failure.jsonl

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+{"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."}