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Autonomous AI coding agent CLI — like Claude Code, works with any OpenAI-compatible API

Project description

AutoCode Agent

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The Autonomous AI Coding Agent — Powered by Any OpenAI-Compatible API

by ALLAY_XD_20

PyPI version Python License: MIT Platform


AutoCode is a powerful autonomous coding agent CLI — like Claude Code or Aider, but works with any OpenAI-compatible API provider. It reads, writes, and creates files; executes shell commands; reviews code; scans for security issues; manages git; runs tests; and much more — all from your terminal.


Features

┌─────────────────────────────────────────────────────────────────────────┐
│                        AUTOCODE  FEATURE LIST                          │
├──────────────────────┬──────────────────────┬──────────────────────────┤
│  CODE QUALITY        │  GIT & VERSION       │  TESTING                 │
│  /code-review        │  /git-status         │  /test                   │
│  /lint               │  /git-diff           │  /test-gen               │
│  /type-check         │  /git-log            │  /test-debug             │
│  /refactor           │  /git-commit         │  /build                  │
│  /cleanup            │  /git-branch         │                          │
│  /duplicates         │  /git-push           │  PERFORMANCE             │
│  /syntax-fix         │  /commit-msg         │  /profile                │
│  /explain            │  /merge-fix          │  /mem-check              │
├──────────────────────┼──────────────────────┤  /optimize               │
│  DEBUGGING           │  SECURITY            ├──────────────────────────┤
│  /debug              │  /security           │  INFRASTRUCTURE          │
│  /fix                │  /secrets            │  /docker                 │
│  /trace              │  /vulns              │  /ci-cd                  │
│  /errors             │  /audit              │  /server                 │
│  /logs               │                      │  /deploy                 │
│  /explain-error      │  DEPENDENCIES        │  /env                    │
├──────────────────────┤  /deps               ├──────────────────────────┤
│  GENERATION          │  /install            │  FILE & SEARCH           │
│  /generate           │  /outdated           │  /find                   │
│  /scaffold           │                      │  /replace                │
│  /readme             │  API & DATABASE      │  /regex                  │
│  /docs               │  /api-test           │  /navigate               │
│  /ui-gen             │  /db                 │                          │
│  /backend-gen        │  /db-query           │  INTELLIGENCE            │
│  /api-build          │  /db-migrate         │  /arch                   │
│  /template           │  /json-check         │  /memory                 │
│  /convert            │  /yaml-check         │  /pr-review              │
│  /translate          │                      │  /completion             │
│  /scaffold           │  PACKAGE MANAGERS    │  /explain                │
└──────────────────────┴──────────────────────┴──────────────────────────┘

Installation

pip install autocode-agent

Requirements: Python 3.9+ | Works on Windows, macOS, Linux


Quick Start

Step 1 — Set your API token

AutoCode works with any OpenAI-compatible API. Set your credentials:

# Required
export AUTOCODE_AUTH_TOKEN="your-api-token-here"

# Optional — customize the provider and model
export AUTOCODE_BASE_URL="https://beta.hapuppy.com"   # default
export AUTOCODE_MODEL="claude-sonnet-4-6"             # default

Windows (PowerShell):

$env:AUTOCODE_AUTH_TOKEN = "your-api-token-here"
$env:AUTOCODE_BASE_URL   = "https://beta.hapuppy.com"
$env:AUTOCODE_MODEL      = "claude-sonnet-4-6"

Step 2 — Run it

# Interactive mode (recommended)
autocode

# One-shot task
autocode "build a REST API with Flask and SQLite"

# List available models
autocode --list-models

# Work in a specific directory
autocode --dir /path/to/my/project

# Use a different model
autocode -m gpt-4 "refactor my codebase"

Interactive Mode

When you run autocode without arguments, you get a full interactive session:

   ▄████████ ███    █▄  ...
  ███    ███ ███    ███ ...

  by ALLAY_XD_20  •  v1.0.0  •  Autonomous Coding Agent

  Features: Code Review • Auto Debug • Security Scan • Git • Tests • Docs
             Refactor • Scaffold • API Test • Docker • CI/CD • + 70 more

  Model    : claude-sonnet-4-6
  Endpoint : https://beta.hapuppy.com/v1/chat/completions

  Commands : /help  /ls  /reset  /model  /features  /git  /security  /test  /exit

❯ _

Type any natural language task, or use a /command:

 read main.py and fix any bugs you find
❯ /code-review
❯ /security
❯ /test
❯ /git-commit
❯ /scaffold
❯ create a FastAPI app with JWT authentication

All Commands

Built-in Commands

Command Description
/help Show help and command list
/features Show full feature table
/reset Clear conversation history
/ls [dir] List files in directory
/model Show current model and endpoint
/exit Quit AutoCode

Code Quality

Command What It Does
/code-review Full code review with issues, bugs, and suggestions
/refactor Refactor the codebase (SOLID, clean code)
/cleanup Remove dead code, unused imports, formatting
/syntax-fix Find and fix all syntax errors
/duplicates Detect and eliminate duplicate code
/lint Run linter (ruff/flake8/eslint) on all files
/type-check Run type checker (mypy/tsc)
/explain Explain the codebase architecture

Debugging

Command What It Does
/debug Debug the project — trace and fix errors
/fix Find and fix all bugs
/trace Analyze a stack trace
/errors Find all error-prone areas
/logs Analyze log files
/explain-error Explain an error message in detail

Code Generation

Command What It Does
/generate Generate code from description
/scaffold Scaffold a new project (python/flask/fastapi/node/react/cli)
/ui-gen Generate UI components
/backend-gen Generate backend code and APIs
/api-build Build a full API with endpoints
/readme Generate a professional README
/docs Generate project documentation
/convert Convert code between languages
/translate Translate code/content

Testing

Command What It Does
/test Run all tests; fix failures
/test-gen Generate comprehensive test suite
/test-debug Debug failing tests
/build Build the project

Security

Command What It Does
/security Full security audit + auto-fix
/secrets Scan for hardcoded secrets/tokens
/vulns Check code + dependency vulnerabilities
/audit Comprehensive security report

Git & Version Control

Command What It Does
/git-status Show git status
/git-diff Show all changes
/git-log Show commit history
/git-commit Stage, generate message, and commit
/git-branch List all branches
/git-push Push to remote
/commit-msg Generate a commit message from diff
/merge-fix Resolve merge conflicts
/pr-review Review pull request changes

Dependencies & Packages

Command What It Does
/deps Analyze all dependencies
/install Install project dependencies
/outdated Show outdated packages

Performance

Command What It Does
/profile Profile Python script performance
/mem-check Detect memory leaks
/optimize Optimize code for speed

Infrastructure

Command What It Does
/docker Docker operations (build/run/logs)
/ci-cd Detect and set up CI/CD pipelines
/server Manage running servers
/deploy Help deploy the project
/env Manage .env variables

Database

Command What It Does
/db Inspect SQLite database
/db-query Run SQL queries
/db-migrate Create and run migrations

File & Search

Command What It Does
/find Find files by name pattern
/replace Global find-and-replace across files
/regex Regex search across files
/navigate Explore project structure
/json-check Validate JSON files
/yaml-check Validate YAML files

Intelligence

Command What It Does
/arch Architecture analysis (ASCII diagram)
/memory View/store agent session memory
/completion AI code completion
/api-test Test HTTP API endpoints

Configuration

All settings via environment variables — no hardcoded keys ever:

Variable Default Description
AUTOCODE_AUTH_TOKEN (required) Your API bearer token
AUTOCODE_BASE_URL https://beta.hapuppy.com API base URL (any OpenAI-compatible)
AUTOCODE_MODEL claude-sonnet-4-6 Model name
AUTOCODE_MAX_TOKENS 8192 Max response tokens
AUTOCODE_TEMPERATURE 0.2 Response temperature

Supported API Providers

AutoCode works with any OpenAI-compatible API:

# HaPuppy (default)
export AUTOCODE_BASE_URL="https://beta.hapuppy.com"
export AUTOCODE_AUTH_TOKEN="sk-hapuppy-..."
export AUTOCODE_MODEL="claude-sonnet-4-6"

# OpenAI
export AUTOCODE_BASE_URL="https://api.openai.com"
export AUTOCODE_AUTH_TOKEN="sk-..."
export AUTOCODE_MODEL="gpt-4o"

# Anthropic (via proxy)
export AUTOCODE_BASE_URL="https://your-proxy.com"
export AUTOCODE_AUTH_TOKEN="sk-ant-..."
export AUTOCODE_MODEL="claude-3-5-sonnet"

# Ollama (local)
export AUTOCODE_BASE_URL="http://localhost:11434"
export AUTOCODE_AUTH_TOKEN="ollama"
export AUTOCODE_MODEL="llama3.1"

# Any OpenAI-compatible endpoint
export AUTOCODE_BASE_URL="https://your-provider.com"

Examples

Fix bugs automatically

autocode "read app.py, find the bug causing the 500 error, fix it, run the tests"

Build a full project

autocode "create a FastAPI REST API with user auth, SQLite database, and JWT tokens"

Security audit

 /security
# → Scans all code + dependencies, auto-fixes issues

Git workflow

 /git-commit
# → Stages changes, generates commit message, commits

Scaffold a new project

 /scaffold
# → Asks: project type (flask/fastapi/react/node/cli), name, directory
# → Creates complete project structure

Convert code

autocode "convert my Flask app in app.py to FastAPI"

Generate tests

autocode "read utils.py and generate comprehensive pytest tests for every function"

CLI Reference

Usage: autocode [OPTIONS] [TASK]

  AutoCode Agent — Autonomous AI coding assistant by ALLAY_XD_20.

Options:
  -m, --model TEXT      Model to use         [env: AUTOCODE_MODEL]
  -t, --token TEXT      Auth token           [env: AUTOCODE_AUTH_TOKEN]
  -u, --base-url TEXT   API base URL         [env: AUTOCODE_BASE_URL]
  -v, --verbose         Verbose output
  -d, --dir TEXT        Working directory
  --list-models         List all available models
  --version             Show version
  --help                Show help

How It Works

AutoCode uses a tool-calling agentic loop:

User Input
    │
    ▼
┌─────────────────────────────────────────┐
│           Language Model (LLM)          │
│   Reasons about the task, decides       │
│   which tools to call                   │
└───────────────────┬─────────────────────┘
                    │ tool_calls
                    ▼
┌─────────────────────────────────────────┐
│              Tool Executor              │
│  read_file │ write_file │ run_command   │
│  git_* │ security_scan │ auto_testing  │
│  project_scaffolding │ api_testing     │
│  ... 50+ more tools                    │
└───────────────────┬─────────────────────┘
                    │ results
                    ▼
            Back to LLM (loop)
                    │
                    ▼
            Final Response

The agent keeps looping — calling tools, observing results, and adjusting — until the task is fully complete. Up to 15 iterations per turn.


Platform Support

Platform Status
Linux ✅ Full support
macOS ✅ Full support
Windows (PowerShell) ✅ Full support
Windows (CMD) ✅ Full support
WSL ✅ Full support
Termux (Android) ✅ Full support
Any Python 3.9+ environment ✅ Full support

AutoCode automatically detects terminal capabilities and adapts:

  • Wide terminal (≥100 cols) → Full ASCII art banner
  • Medium terminal (≥50 cols) → Compact banner
  • Narrow/no-unicode → Minimal text banner
  • No color → Plain text output (respects NO_COLOR env var)

Contributing

Contributions welcome! Open an issue or PR on GitHub.

  1. Fork the repo
  2. Create a feature branch: git checkout -b feature/my-feature
  3. Commit: git commit -m 'feat: add my feature'
  4. Push: git push origin feature/my-feature
  5. Open a Pull Request

License

MIT License © 2026 ALLAY_XD_20 — free to use, modify, and distribute.


Built with ❤️ by ALLAY_XD_20

AutoCode — Code smarter, not harder.

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