# vallm

**A complete toolkit for validating LLM-generated code.**

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vallm validates code proposals through a **four-tier pipeline** — from millisecond syntax checks to LLM-as-judge semantic review — before a single line ships.

## Features

- **Multi-language AST parsing** via tree-sitter (165+ languages)
- **Syntax validation** with ast.parse (Python) and tree-sitter error detection
- **Import resolution** checking for Python, JavaScript/TypeScript, Go, Rust, Java, C/C++
- **Complexity metrics** via radon (Python) and lizard (16 languages)
- **Security scanning** with language-specific patterns and optional bandit integration
- **LLM-as-judge** semantic review via Ollama, litellm, or direct HTTP
- **Code graph analysis** — import/call graph diffing for structural regression detection
- **AST similarity scoring** with normalized fingerprinting
- **Pluggy-based plugin system** for custom validators
- **Rich CLI** with JSON/text output formats

## Supported Languages

| Language | Syntax | Imports | Complexity | Security |
|----------|--------|---------|------------|----------|
| Python | ✅ AST + tree-sitter | ✅ Full resolution (22 methods) | ✅ radon + lizard | ✅ bandit + patterns |
| JavaScript | ✅ tree-sitter | ✅ Node.js builtins | ✅ lizard | ✅ XSS, eval patterns |
| TypeScript | ✅ tree-sitter | ✅ Node.js builtins | ✅ lizard | ✅ XSS, eval patterns |
| Go | ✅ tree-sitter | ✅ stdlib + modules | ✅ lizard | ✅ SQL injection, exec |
| Rust | ✅ tree-sitter | ✅ crates | ✅ lizard | ✅ unsafe, unwrap |
| Java | ✅ tree-sitter | ✅ stdlib packages | ✅ lizard | ✅ Runtime.exec, SQL |
| C/C++ | ✅ tree-sitter | ✅ std headers | ✅ lizard | ✅ buffer overflow, system |
| Ruby | ✅ tree-sitter | ⚠️ Limited | ✅ lizard | ⚠️ Limited |
| PHP | ✅ tree-sitter | ⚠️ Limited | ✅ lizard | ⚠️ Limited |
| Swift | ✅ tree-sitter | ⚠️ Limited | ✅ lizard | ⚠️ Limited |
| Kotlin | ✅ tree-sitter | ⚠️ Limited | ✅ lizard | ⚠️ Limited |
| Scala | ✅ tree-sitter | ⚠️ Limited | ✅ lizard | ⚠️ Limited |

## Installation

```bash
pip install vallm
```

With optional dependencies:

```bash
pip install vallm[all]        # Everything
pip install vallm[llm]        # Ollama + litellm for semantic review
pip install vallm[security]   # bandit integration
pip install vallm[semantic]   # CodeBERTScore
pip install vallm[graph]      # NetworkX graph analysis
```

## Quick Start

### Validate Entire Project

```bash
# Install with LLM support
pip install vallm[llm]

# Setup Ollama (for semantic review)
ollama pull qwen2.5-coder:7b
ollama serve

# Validate entire project recursively
vallm batch . --recursive --semantic --model qwen2.5-coder:7b
```

### Python API

```python
from vallm import Proposal, validate, VallmSettings

code = """
def fibonacci(n: int) -> list[int]:
    if n <= 0:
        return []
    fib = [0, 1]
    for i in range(2, n):
        fib.append(fib[i-1] + fib[i-2])
    return fib
"""

proposal = Proposal(code=code, language="python")
result = validate(proposal)
print(f"Verdict: {result.verdict.value}")  # pass / review / fail
print(f"Score: {result.weighted_score:.2f}")
```

### CLI Commands Reference

```bash
# Batch validation (best for entire projects)
vallm batch . --recursive --semantic --model qwen2.5-coder:7b
vallm batch src/ --recursive --include "*.py,*.js" --exclude "*/test/*"
vallm batch . --recursive --format json --fail-fast
vallm batch . --recursive --verbose --show-issues  # Detailed per-file results

# Output formats for batch results
vallm batch . --recursive --format json   # Machine-readable JSON
vallm batch . --recursive --format yaml   # YAML format
vallm batch . --recursive --format toon   # Compact TOON format
vallm batch . --recursive --format text   # Plain text

# Single file validation
vallm validate --file mycode.py --semantic --model qwen2.5-coder:7b
vallm validate --file app.js --security
vallm validate --file mycode.py --format json  # JSON output

# Quick syntax check only
vallm check mycode.py
vallm check src/main.go

# Configuration and info
vallm info
```

### Generate Validation Summary File

```bash
# JSON summary for entire project
vallm batch . --recursive --format json > validation-summary.json

# YAML summary for src/ directory
vallm batch src/ --recursive --format yaml > validation-summary.yaml

# TOON format (compact) for CI/CD
vallm batch . --recursive --format toon > validation-summary.toon

# Text format with security checks
vallm batch . --recursive --format text --security > validation-report.txt

# Full validation with semantic review - save to file
vallm batch . --recursive --semantic --model qwen2.5-coder:7b --format json > full-validation.json

# Tee output to both console and file
vallm batch . --recursive --format json | tee validation-summary.json
```

### Batch Command Options

| Option | Short | Description |
|--------|-------|-------------|
| `--recursive` | `-r` | Recurse into subdirectories |
| `--include` | | File patterns to include (e.g., "*.py,*.js") |
| `--exclude` | | File patterns to exclude |
| `--use-gitignore` | | Respect .gitignore patterns (default: true) |
| `--format` | `-f` | Output format: `rich`, `json`, `yaml`, `toon`, `text` |
| `--fail-fast` | `-x` | Stop on first failure |
| `--semantic` | | Enable LLM-as-judge semantic review |
| `--security` | | Enable security checks |
| `--model` | `-m` | LLM model for semantic review |
| `--verbose` | `-v` | Show detailed validation results for each file |
| `--show-issues` | `-i` | Show issues for failed files |

### With Ollama (LLM-as-judge)

```bash
# 1. Install and start Ollama
ollama pull qwen2.5-coder:7b

# 2. Run with semantic review
vallm validate --file mycode.py --semantic
```

```python
from vallm import Proposal, validate, VallmSettings

settings = VallmSettings(
    enable_semantic=True,
    llm_provider="ollama",
    llm_model="qwen2.5-coder:7b",
)

proposal = Proposal(
    code=new_code,
    language="python",
    reference_code=existing_code,  # optional: compare against reference
)
result = validate(proposal, settings)
```

## Validation Pipeline

| Tier | Speed | Validators | What it catches |
|------|-------|-----------|----------------|
| 1 | ms | syntax, imports | Parse errors, missing modules |
| 2 | seconds | complexity, security | High CC, dangerous patterns |
| 3 | seconds | semantic (LLM) | Logic errors, poor practices |
| 4 | minutes | regression (tests) | Behavioral regressions |

The pipeline **fails fast** — Tier 1 errors stop execution immediately.

## Configuration

Via environment variables (`VALLM_*`), `vallm.toml`, or `pyproject.toml [tool.vallm]`:

```toml
# vallm.toml
pass_threshold = 0.8
review_threshold = 0.5
max_cyclomatic_complexity = 15
enable_semantic = true
llm_provider = "ollama"
llm_model = "qwen2.5-coder:7b"
```

## Plugin System

Write custom validators using pluggy:

```python
from vallm.hookspecs import hookimpl
from vallm.scoring import ValidationResult

class MyValidator:
    tier = 2
    name = "custom"
    weight = 1.0

    @hookimpl
    def validate_proposal(self, proposal, context):
        # Your validation logic
        return ValidationResult(validator=self.name, score=1.0, weight=self.weight)
```

Register via `pyproject.toml`:

```toml
[project.entry-points."vallm.validators"]
custom = "mypackage.validators:MyValidator"
```

## Multi-Language Support

vallm supports **30+ programming languages** via tree-sitter parsers:

### Auto-Detection

```python
from vallm import detect_language, Language

# Auto-detect from file path
lang = detect_language("main.rs")  # → Language.RUST
print(lang.display_name)  # "Rust"
print(lang.is_compiled)     # True
```

### CLI with Auto-Detection

```bash
# Language auto-detected from file extension
vallm validate --file script.py      # → Python
vallm check main.go                   # → Go  
vallm validate --file lib.rs          # → Rust

# Batch validation with mixed languages
vallm batch src/ --recursive --include "*.py,*.js,*.ts,*.go,*.rs"
```

### Supported Languages

| Language | Category | Complexity | Syntax |
|----------|----------|------------|--------|
| Python | Scripting | ✓ radon + lizard | ✓ ast + tree-sitter |
| JavaScript | Web/Scripting | ✓ lizard | ✓ tree-sitter |
| TypeScript | Web/Scripting | ✓ lizard | ✓ tree-sitter |
| Go | Compiled | ✓ lizard | ✓ tree-sitter |
| Rust | Compiled | ✓ lizard | ✓ tree-sitter |
| Java | Compiled | ✓ lizard | ✓ tree-sitter |
| C/C++ | Compiled | ✓ lizard | ✓ tree-sitter |
| Ruby | Scripting | ✓ lizard | ✓ tree-sitter |
| PHP | Web | ✓ lizard | ✓ tree-sitter |
| Swift | Compiled | ✓ lizard | ✓ tree-sitter |
| + 20 more via tree-sitter | | ✓ tree-sitter | ✓ tree-sitter |

See `examples/07_multi_language/` for a comprehensive demo.

## Examples

Each example lives in its own folder with `main.py` and `README.md`. Run all at once:

```bash
cd examples && ./run.sh
```

| Example | What it demonstrates |
|---------|---------------------|
| `01_basic_validation/` | Default pipeline — good, bad, and complex code |
| `02_ast_comparison/` | AST similarity scoring, tree-sitter multi-language parsing |
| `03_security_check/` | Security pattern detection (eval, exec, hardcoded secrets) |
| `04_graph_analysis/` | Import/call graph building and structural diffing |
| `05_llm_semantic_review/` | Ollama Qwen 2.5 Coder 7B LLM-as-judge review |
| `06_multilang_validation/` | JavaScript and C validation via tree-sitter |
| `07_multi_language/` | **Comprehensive multi-language support** — 8+ languages with auto-detection |
| `08_code2llm_integration/` | Project analysis integration with code2llm |
| `09_code2logic_integration/` | Call graph analysis with code2logic |
| `10_mcp_ollama_demo/` | MCP (Model Context Protocol) demo with Ollama |
| `11_claude_code_autonomous/` | Autonomous refactoring with Claude Code |
| `12_ollama_simple_demo/` | Simplified Ollama integration example |

## Architecture

```
src/vallm/
├── cli/                    # 🆕 Modular CLI package
│   ├── __init__.py         # Command registration and app export
│   ├── command_handlers.py # CLI command implementations
│   ├── output_formatters.py # Output formatting utilities
│   ├── settings_builders.py # Settings configuration logic
│   └── batch_processor.py  # Batch processing logic
├── cli.py                  # 🆕 Simplified main entry point (9L)
├── config.py               # pydantic-settings (VALLM_* env vars)
├── hookspecs.py            # pluggy hook specifications
├── scoring.py              # Weighted scoring + verdict engine (CC=18 validate function)
├── core/
│   ├── languages.py        # Language enum, auto-detection, 30+ languages
│   ├── proposal.py         # Proposal model
│   ├── ast_compare.py      # tree-sitter + Python AST similarity
│   ├── graph_builder.py    # Import/call graph construction
│   └── graph_diff.py       # Before/after graph comparison
├── validators/
│   ├── syntax.py           # Tier 1: ast.parse + tree-sitter (multi-lang)
│   ├── imports/            # 🆕 Modular import validators
│   │   ├── base.py         # 🆕 Enhanced base class with shared validate()
│   │   ├── factory.py      # Validator factory
│   │   ├── python_imports.py
│   │   ├── go_imports.py   # 🆕 Uses shared validation logic
│   │   ├── rust_imports.py # 🆕 Uses shared validation logic
│   │   └── java_imports.py # 🆕 Uses shared validation logic
│   ├── complexity.py       # Tier 2: radon (Python) + lizard (16+ langs)
│   ├── security.py         # Tier 2: patterns + bandit
│   └── semantic.py         # Tier 3: LLM-as-judge
└── sandbox/
    └── runner.py           # subprocess / Docker execution
```

### 🆕 Code Health Improvements

**Recent Refactoring Achievements**:

✅ **CLI Modularization** - Split 850L god module into focused packages:
- `cli/command_handlers.py` - Command implementations
- `cli/output_formatters.py` - Output formatting logic  
- `cli/settings_builders.py` - Settings configuration
- `cli/batch_processor.py` - Batch processing logic
- `cli/__init__.py` - Command registration and app export

✅ **Import Validator Cleanup** - Removed 653L legacy module:
- Enhanced `BaseImportValidator` with shared validation logic
- Eliminated duplicate `validate()` methods across language validators
- Improved maintainability through template method pattern

✅ **Code Deduplication** - Removed 469 lines of duplicated code:
- Shared validation runners for examples (154 lines saved)
- Centralized analysis data saving (66 lines saved)
- Common demo utilities (60 lines saved)
- LLM response parsing utilities (40 lines saved)
- Import validator logic consolidation (40 lines saved)
- Additional utility function consolidation (109 lines saved)

**Updated Code Metrics**:

| Metric | Before | After | Improvement |
|--------|--------|-------|-------------|
| God Modules (>500L) | 2 | 0 | ✅ **100% eliminated** |
| Max Cyclomatic Complexity | 42 | ~18 | ✅ **57% reduction** |
| Code Duplication | 504 lines | 35 lines | ✅ **93% eliminated** |
| CLI Module Size | 850 lines | 9 lines | ✅ **99% reduction** |

**Remaining Critical Functions**:

| Function | Location | CC | Status |
|----------|----------|-----|--------|
| `validate` | `scoring.py:122` | **18** | 🟡 Acceptable |
| `_check_lizard` | `complexity.py` | 12 | 🟡 Acceptable |
| `_parse_response` | `semantic.py` | 12 | 🟡 Acceptable |

## Roadmap

**v0.2 — Completeness** ✅ **MAJOR PROGRESS**
- ✅ CLI modularization - Split 850L god module into focused packages
- ✅ Import validator cleanup - Removed 653L legacy module  
- ✅ Code deduplication - Eliminated 469 lines of duplicate code
- ✅ God module elimination - 100% reduction in god modules
- ✅ Complexity reduction - 57% reduction in max cyclomatic complexity
- Wire pluggy plugin manager (entry_point-based validator discovery)
- Add LogicalErrorValidator (pyflakes) and LintValidator (ruff)
- TOML config loading (`vallm.toml`, `[tool.vallm]`)
- Pre-commit hook integration
- GitHub Actions CI/CD

**v0.3 — Depth**
- AST edit distance via apted/zss
- CodeBERTScore embedding similarity
- NetworkX cycle detection and centrality in graph analysis
- RegressionValidator (Tier 4) with pytest-json-report
- TypeCheckValidator (mypy/pyright)
- Extract output formatters

**v0.4 — Intelligence**
- `--fix` auto-repair mode (LLM-based retry loop)
- hypothesis/crosshair property-based test generation
- E2B cloud sandbox backend
- Streaming LLM output

See [TODO.md](TODO.md) for the full task breakdown.

## License

Apache License 2.0 - see [LICENSE](LICENSE) for details.

## Author

Created by **Tom Sapletta** - [tom@sapletta.com](mailto:tom@sapletta.com)
