pfix 0.1.25

Self-healing Python — catches runtime errors, fixes code & dependencies via LLM + MCP

🔧 pfix

Self-healing Python — catches runtime errors and fixes source code + dependencies via LLM + MCP.

💡 New in 0.1.5: Zero-configuration mode! Just import pfix with PFIX_AUTO_APPLY=true in .env and any exception triggers automatic repair.

Features

• Zero-config mode — import pfix + .env = auto-healing for entire project
• @pfix decorator — wrap any function; errors trigger automatic repair
• Fast dep fix — ModuleNotFoundError → instant pip/uv install (no LLM call)
• pipreqs scanning — project-wide import analysis for missing dependencies
• LLM code repair — sends error context to LLM (OpenRouter/LiteLLM) for intelligent fixes
• pip + uv — auto-detects uv for faster installs, falls back to pip
• MCP server — @mcp.tool() via FastMCP for IDE integration (Claude Code, Cursor, VS Code)
• Git auto-commit — optional auto-commit of fixes with configurable prefix
• Auto-restart — os.execv process restart after fix applied
• Interactive diff — unified diff with confirmation before applying
• Backup system — timestamped backups in .pfix_backups/ (can be disabled)
• Async support — @apfix for async functions

Installation

From PyPI (Users)

pip install pfix

# With MCP server support
pip install pfix[mcp]

# With git auto-commit
pip install pfix[git]

# Everything
pip install pfix[all]

From Source (Developers)

Clone and install in editable mode:

git clone https://github.com/softreck/pfix.git
cd pfix
pip install -e .

# Or with all optional dependencies
pip install -e ".[all]"

Editable mode (-e) allows you to modify source code without reinstalling. Changes take effect immediately.

Running Examples

After installation, examples can be run from any directory:

# From project root
cd /path/to/pfix/examples
python demo_auto.py

# The .env file in project root is automatically found

Quick Start (3 Ways)

Option 1: Zero Configuration (Recommended)

Just import pfix with PFIX_AUTO_APPLY=true in your .env:

# .env
OPENROUTER_API_KEY=sk-or-v1-...
PFIX_AUTO_APPLY=true

# your_script.py
import pfix  # Auto-activates global exception hook

def buggy_function(x):
    return 1 / x  # Division by zero? Auto-fixed!

buggy_function(0)  # pfix catches, analyzes, fixes, and retries

What happens:

1. Exception is caught by global hook
2. LLM analyzes the error context
3. Fix is applied to source file
4. Process restarts (if PFIX_AUTO_RESTART=true)

Option 2: Explicit Session Control

Use pfix_session for fine-grained control:

from pfix import configure, pfix_session

configure(auto_apply=True, dry_run=False)

def process_data(data):
    return data[0] / data[1]  # Might fail

with pfix_session(__file__, auto_apply=True):
    result = process_data([1, 0])  # Auto-fixed on error
    print(f"Result: {result}")

Option 3: Decorator (Per-Function)

Use @pfix for function-level control:

from pfix import pfix

@pfix(retries=3, hint="Processes CSV files")
def analyze_csv(path):
    import pandas as pd  # Auto-installed if missing
    df = pd.read_csv(path)
    return df.groupby("category").sum()

@pfix(deps=["requests", "python-dateutil"])
def fetch_events(url: str):
    import requests
    from dateutil.parser import parse
    return [parse(e["ts"]) for e in requests.get(url).json()["events"]]

Usage Patterns

Pattern A: Development Mode (Interactive)

from pfix import configure

# Ask before applying fixes
configure(auto_apply=False)

import pfix  # Hook installed

def risky_operation():
    return undefined_variable  # NameError

risky_operation()  # Shows diff, asks for confirmation

Pattern B: CI/CD Mode (Non-Interactive)

from pfix import configure

# Auto-apply everything, dry run for safety
configure(auto_apply=True, dry_run=True, create_backups=False)

import pfix

Pattern C: Library Mode (Specific Functions)

from pfix import pfix, pfix_session

# Only protect specific functions
@pfix(auto_apply=True)
def unstable_api_call():
    ...

# Or specific code blocks
with pfix_session(__file__):
    untrusted_code()

Library Behavior

How It Works

┌─────────────────────────────────────────────────────────────────┐
│  Your Code                                                      │
│  ┌─────────────────┐    ┌─────────────────┐    ┌─────────────┐   │
│  │ Zero Config     │ or │ Session Block   │ or │ @pfix Decor │   │
│  │ import pfix     │    │ with pfix_session│   │ @pfix       │   │
│  └────────┬────────┘    └────────┬────────┘    └──────┬────┘   │
│           │                        │                    │        │
│           └────────────────────────┴────────────────────┘        │
│                              │                                   │
│                              ▼                                   │
│  ┌──────────────────────────────────────────────────────────┐   │
│  │  Exception Occurs                                        │   │
│  │  ┌────────────────────────────────────────────────────┐ │   │
│  │  │ 1. ModuleNotFoundError?                            │ │   │
│  │  │    → pip/uv install → retry                          │ │   │
│  │  └────────────────────────────────────────────────────┘ │   │
│  │                          │                             │   │
│  │                          ▼                             │   │
│  │  ┌────────────────────────────────────────────────────┐ │   │
│  │  │ 2. Build ErrorContext                              │ │   │
│  │  │    - Traceback                                       │ │   │
│  │  │    - Source code                                     │ │   │
│  │  │    - Local variables                                 │ │   │
│  │  │    - File imports                                    │ │   │
│  │  │    - pipreqs scan                                    │ │   │
│  │  └────────────────┬───────────────────────────────────┘ │   │
│  │                   │                                       │   │
│  │                   ▼                                       │   │
│  │  ┌────────────────────────────────────────────────────┐   │   │
│  │  │ 3. LLM Analysis (LiteLLM → OpenRouter)            │   │   │
│  │  │    - Diagnosis                                     │   │   │
│  │  │    - Fix proposal                                  │   │   │
│  │  │    - Confidence score                              │   │   │
│  │  └────────────────┬───────────────────────────────────┘   │   │
│  │                   │                                       │   │
│  │                   ▼                                       │   │
│  │  ┌────────────────────────────────────────────────────┐   │   │
│  │  │ 4. Apply Fix (if confidence > 0.1)               │   │   │
│  │  │    - Show diff (or auto-apply)                     │   │   │
│  │  │    - Create backup (if create_backups=True)        │   │   │
│  │  │    - Write fixed code                              │   │   │
│  │  │    - Git commit (if git_auto_commit=True)          │   │   │
│  │  └────────────────┬───────────────────────────────────┘   │   │
│  │                   │                                       │   │
│  │                   ▼                                       │   │
│  │  ┌────────────────────────────────────────────────────┐   │   │
│  │  │ 5. Recovery                                        │   │   │
│  │  │    - Reload module → retry                         │   │   │
│  │  │    - or os.execv restart                           │   │   │
│  │  └────────────────────────────────────────────────────┘   │   │
│  └──────────────────────────────────────────────────────────┘   │
└─────────────────────────────────────────────────────────────────┘

Error Types & Fixes

Error Type	Auto-Fix Strategy	Example Fix
ModuleNotFoundError	pip/uv install	pip install requests
NameError	Add import	import os at top
TypeError	Type conversion	str(age) instead of age
AttributeError	Fix attribute access	obj.get() instead of obj.attr
ZeroDivisionError	Add guard clause	if x == 0: return 0
IndexError	Bounds checking	if i < len(list):
KeyError	Safe dict access	dict.get(key, default)
ValueError	Input validation	Try/except or validation
FileNotFoundError	Check path existence	if os.path.exists():

Confidence Thresholds

• > 90%: High confidence fixes (type conversions, simple guards)
• 50-90%: Medium confidence (logic changes, API adjustments)
• 10-50%: Low confidence (complex refactorings)
• < 10%: Skipped (manual review recommended)

CLI

pfix run script.py              # Run with global exception hook
pfix run script.py --auto       # Auto-apply fixes
pfix run script.py --restart    # Restart process after fix
pfix check                      # Show config status
pfix deps scan                  # Scan for missing deps (pipreqs)
pfix deps install               # Install all missing deps
pfix deps generate              # Generate requirements.txt
pfix server                     # Start MCP server (stdio)
pfix server --http 3001         # Start MCP server (HTTP)

MCP Integration

pfix exposes tools via FastMCP for IDE integration:

Tool	Description
pfix_analyze	Analyze error → diagnosis + fix proposal
pfix_fix	Analyze + apply fix (with backup)
pfix_deps_scan	Scan for missing deps
pfix_deps_install	Install a package
pfix_deps_generate	Generate requirements.txt
pfix_edit_file	Write file content

Claude Code / VS Code setup

Add to your MCP config (.claude/mcp.json or VS Code settings):

{
  "mcpServers": {
    "pfix": {
      "command": "python",
      "args": ["-m", "pfix.mcp_server"]
    }
  }
}

Configuration

pfix supports multiple configuration methods (in order of priority):

1. Environment variables (override everything)
2. .env file in project root
3. pyproject.toml [tool.pfix] section
4. setup.cfg [pfix] section
5. setup.py keyword arguments
6. Programmatic configure()

Configuration Priority

Higher numbers win (environment variables have highest priority):

[6] Environment variables (PFIX_*)
[5] .env file
[4] pyproject.toml [tool.pfix]
[3] setup.cfg [pfix]
[2] setup.py setup()
[1] configure() programmatic

Method 1: .env (Recommended for Development)

Create a .env file in your project root:

# Required
OPENROUTER_API_KEY=sk-or-v1-...

# Behavior
PFIX_AUTO_APPLY=true              # Auto-apply fixes without confirmation
PFIX_AUTO_INSTALL_DEPS=true       # Auto-install missing dependencies
PFIX_AUTO_RESTART=true              # Restart process after fix
PFIX_MAX_RETRIES=3
PFIX_CREATE_BACKUPS=false           # Disable backups

# Optional
PFIX_MODEL=openrouter/qwen/qwen3-coder-next
PFIX_PKG_MANAGER=uv               # pip or uv
PFIX_GIT_COMMIT=false             # Auto-commit fixes
PFIX_GIT_PREFIX="pfix: "

Note: .env is searched from current working directory upward, so it works from any subdirectory (e.g., examples/).

Method 2: pyproject.toml (Recommended for Projects)

Add to your pyproject.toml:

[tool.pfix]
model = "openrouter/qwen/qwen3-coder-next"
auto_apply = true
auto_install_deps = true
auto_restart = true
max_retries = 3
create_backups = false
git_auto_commit = false
git_commit_prefix = "pfix: "
enabled = true
dry_run = false
pkg_manager = "uv"  # auto, pip, or uv
mcp_enabled = false
mcp_transport = "stdio"
mcp_server_url = "http://localhost:3001"

Benefits:

• Version controlled with your project
• Works with any Python packaging tool
• No external files needed

Method 3: setup.cfg (Legacy Projects)

For projects using setup.cfg:

[metadata]
name = myproject
version = 1.0.0
...

[pfix]
model = openrouter/qwen/qwen3-coder-next
auto_apply = true
auto_install_deps = true
auto_restart = false
max_retries = 3
create_backups = true

Method 4: setup.py (Legacy Projects)

For projects using setup.py:

from setuptools import setup

setup(
    name="myproject",
    version="1.0.0",
    # ... other setup args
    
    # pfix configuration
    pfix_model="openrouter/qwen/qwen3-coder-next",
    pfix_auto_apply=True,
    pfix_auto_install_deps=True,
    pfix_auto_restart=False,
    pfix_max_retries=3,
    pfix_create_backups=True,
    pfix_enabled=True,
)

Note: setup.py config requires pfix to be installed in the same environment.

Method 5: Programmatic Configuration

Configure at runtime in your Python code:

from pfix import configure

# Before importing pfix or using the hook
configure(
    # LLM settings
    llm_model="openrouter/qwen/qwen3-coder-next",
    llm_api_key="sk-or-v1-...",
    llm_temperature=0.2,
    llm_max_tokens=4096,
    
    # Behavior
    auto_apply=True,
    auto_install_deps=True,
    auto_restart=True,
    max_retries=3,
    enabled=True,
    dry_run=False,
    
    # Project
    pkg_manager="uv",
    create_backups=False,
    project_root="/path/to/project",
    
    # Git
    git_auto_commit=False,
    git_commit_prefix="pfix: ",
    
    # MCP
    mcp_enabled=False,
    mcp_transport="stdio",
)

# Now import pfix to activate with these settings
import pfix

Configuration Reference

Variable	Type	Default	Description
OPENROUTER_API_KEY	str	—	Required — OpenRouter API key
PFIX_MODEL	str	openrouter/qwen/qwen3-coder-next	LLM model to use
PFIX_API_BASE	str	https://openrouter.ai/api/v1	API base URL
PFIX_AUTO_APPLY	bool	false	Auto-apply fixes without confirmation
PFIX_AUTO_INSTALL_DEPS	bool	true	Auto-install missing dependencies
PFIX_AUTO_RESTART	bool	false	Restart process after fix applied
PFIX_MAX_RETRIES	int	3	Max fix attempts per error
PFIX_DRY_RUN	bool	false	Show proposed fixes without applying
PFIX_CREATE_BACKUPS	bool	true	Create .pfix_backups/ before fixing
PFIX_ENABLED	bool	true	Master switch to disable pfix
PFIX_PKG_MANAGER	str	auto	pip, uv, or auto-detected
PFIX_GIT_COMMIT	bool	false	Auto-commit fixes to git
PFIX_GIT_PREFIX	str	pfix:	Git commit message prefix
PFIX_MCP_ENABLED	bool	false	Enable MCP server
PFIX_MCP_TRANSPORT	str	stdio	stdio or http
PFIX_PROJECT_ROOT	str	.	Project root for relative paths

LLM Models & Providers

pfix uses LiteLLM to support multiple LLM providers. You can use cloud APIs or run models locally.

OpenRouter (Cloud - Recommended)

OpenRouter provides access to multiple models with a single API key.

# .env
OPENROUTER_API_KEY=sk-or-v1-...
PFIX_MODEL=openrouter/qwen/qwen3-coder-next

Recommended models:

Model	Description	Best For
openrouter/qwen/qwen3-coder-next	Claude 4 Sonnet	Balanced quality/speed
openrouter/anthropic/claude-opus-4	Claude 4 Opus	Complex fixes
openrouter/anthropic/claude-haiku-4	Claude 4 Haiku	Fast, cheap fixes
openrouter/qwen/qwen3-235b-a22b-2507	Qwen3 235B	Code-heavy tasks
openrouter/qwen/qwen3.5-flash-02-23	Qwen3.5 Flash	Fast responses
openrouter/nvidia/nemotron-3-super-120b-a12b:free	Nemotron 3 Super	Free tier
openrouter/deepseek/deepseek-coder-v2	DeepSeek Coder	Code-specific

Ollama (Local - Free, Private)

Run models locally for zero cost and complete privacy.

Setup:

# Install Ollama: https://ollama.ai

# Pull a code-capable model
ollama pull codellama:7b
ollama pull qwen2.5-coder:7b
ollama pull deepseek-coder:6.7b

Configure pfix:

# .env
PFIX_MODEL=ollama/codellama:7b
PFIX_API_BASE=http://localhost:11434
# No API key needed for local models

Recommended local models:

Model	Size	Speed	Quality
ollama/codellama:7b	7B	Fast	Good
ollama/qwen2.5-coder:7b	7B	Fast	Very Good
ollama/deepseek-coder:6.7b	6.7B	Fast	Very Good
ollama/codellama:13b	13B	Medium	Excellent
ollama/qwen2.5-coder:14b	14B	Medium	Excellent

OpenAI

# .env
PFIX_MODEL=gpt-4o
PFIX_API_KEY=sk-...
PFIX_API_BASE=https://api.openai.com/v1

Models: gpt-4o, gpt-4o-mini, gpt-4-turbo, gpt-3.5-turbo

Anthropic (Direct)

# .env
PFIX_MODEL=anthropic/claude-3-sonnet-20241022
PFIX_API_KEY=sk-ant-...

Models: claude-3-opus, claude-3-sonnet, claude-3-haiku

Azure OpenAI

# .env
PFIX_MODEL=azure/<your-deployment-name>
PFIX_API_KEY=...
PFIX_API_BASE=https://<resource>.openai.azure.com

Google Vertex AI / Gemini

# .env
PFIX_MODEL=vertex_ai/gemini-1.5-pro
# or
PFIX_MODEL=gemini/gemini-1.5-pro

Choosing a Model

For beginners: Start with openrouter/qwen/qwen3-coder-next (good balance)

For cost savings: Use Ollama locally or OpenRouter free models (:free suffix)

For complex fixes: Use larger models (Claude Opus, GPT-4, Qwen 235B)

For speed: Use smaller models (Haiku, GPT-4o-mini, local 7B models)

Advanced Usage

Custom Error Handlers

from pfix import pfix

def log_error(exc):
    with open("errors.log", "a") as f:
        f.write(f"{type(exc).__name__}: {exc}\n")

@pfix(on_error=log_error, retries=3)
def risky_operation():
    ...

Async Support

from pfix import apfix

@apfix(auto_apply=True)
async def fetch_data(url):
    import aiohttp
    async with aiohttp.ClientSession() as session:
        async with session.get(url) as response:
            return await response.json()

Session with Custom Config

from pfix import pfix_session, get_config

config = get_config()
config.llm_model = "openrouter/anthropic/claude-opus-4"
config.llm_temperature = 0.1

with pfix_session(__file__, auto_apply=True, restart=True):
    main()

Examples

See examples/ directory for working examples:

• demo_auto.py — Zero-config auto-healing
• demo.py — Explicit session control
• README.md — Examples documentation

Best Practices

1. Start with PFIX_AUTO_APPLY=false to review fixes before applying
2. Enable backups (PFIX_CREATE_BACKUPS=true) in development
3. Use dry-run mode in CI/CD to preview fixes without applying
4. Set PFIX_AUTO_RESTART=true for long-running processes
5. Add hints to decorators for better LLM context: @pfix(hint="Processes CSV files")

Troubleshooting

"LLM confidence too low"

• Increase context with @pfix(hint="...")
• Check your API key is valid
• Try a different model in PFIX_MODEL

"Could not locate function"

• Ensure the error is in a named function (not lambda or exec)
• Use pfix_session for module-level code

Backups filling up disk

• Set PFIX_CREATE_BACKUPS=false
• Clean .pfix_backups/ periodically: rm -rf .pfix_backups/

Too many restarts

• Set PFIX_MAX_RETRIES=1 to limit attempts
• Use PFIX_AUTO_RESTART=false to disable restarts

Dependencies

Package	Role
litellm	LLM proxy — OpenRouter, OpenAI, Anthropic, Ollama
python-dotenv	Load .env configuration
rich	Terminal UI (diffs, panels, tables)
pipreqs	Project import scanning
pathspec	Gitignore-aware file filtering
mcp	FastMCP server (optional)
gitpython	Git auto-commit (optional)
watchdog	File change watching (optional)

License

Licensed under Apache-2.0.

Licensed under Apache-2.0.

Licensed under Apache-2.0.

Licensed under Apache-2.0.

Licensed under Apache-2.0.

Licensed under Apache-2.0.

Licensed under Apache-2.0.

Licensed under Apache-2.0.

Licensed under Apache-2.0.

Licensed under Apache-2.0.

Licensed under Apache-2.0.

Licensed under Apache-2.0.

Licensed under Apache-2.0.

Licensed under Apache-2.0.

Licensed under Apache-2.0.

Licensed under Apache-2.0.

Licensed under Apache-2.0.

Licensed under Apache-2.0.

Apache 2.0 — Tom Sapletta / Softreck