Metadata-Version: 2.4
Name: acorn-agent
Version: 2.2.0
Summary: An autonomous coding agent that lives in your terminal — powered by Gemini
Home-page: https://github.com/andamagodwin/Acorn
Author: Andama Godwin
Author-email: Andama Godwin <andamagodwin@gmail.com>
License-Expression: MIT
Project-URL: Homepage, https://acorncli.dev
Project-URL: Documentation, https://acorncli.dev
Project-URL: Repository, https://github.com/andamagodwin/acorn
Project-URL: Issues, https://github.com/andamagodwin/acorn/issues
Keywords: ai,coding-agent,gemini,vertex-ai,cli,autonomous
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Code Generators
Classifier: Intended Audience :: Developers
Classifier: Environment :: Console
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: google-genai>=1.0.0
Dynamic: author
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-python

# Acorn

**An autonomous coding agent that lives in your terminal.**

Acorn reads your code, writes files, runs commands, and refactors across your entire codebase — powered by Google's Gemini.

**Website:** [acorncli.dev](https://acorncli.dev)

```
     █████╗  ██████╗ ██████╗ ██████╗ ███╗   ██╗
    ██╔══██╗██╔════╝██╔═══██╗██╔══██╗████╗  ██║
    ███████║██║     ██║   ██║██████╔╝██╔██╗ ██║
    ██╔══██║██║     ██║   ██║██╔══██╗██║╚██╗██║
    ██║  ██║╚██████╗╚██████╔╝██║  ██║██║ ╚████║
    ╚═╝  ╚═╝ ╚═════╝ ╚═════╝ ╚═╝  ╚═╝╚═╝  ╚═══╝
```

## Features

- **Real-time streaming** — tokens appear as they're generated, not after
- **Smart model routing** — Flash for simple questions, Pro for complex tasks
- **Surgical file editing** — modifies specific lines, not entire files
- **Multi-file refactoring** — reads and edits across your whole codebase
- **Image/screenshot analysis** — attach images for the model to analyze
- **Auto-retry with error recovery** — adapts when things fail
- **Session persistence** — resume conversations where you left off
- **Undo support** — revert the last file change instantly
- **Cost tracking** — see what you're spending per session
- **Project config** — per-repo `.acorn.toml` for custom settings
- **Project instructions** — per-repo `.acorn.md` for custom context
- **Permission system** — 3-tier safety (safe/ask/deny)
- **Git-aware** — understands your branch, status, and project structure
- **Dual auth** — works with simple API key or Vertex AI (enterprise)
- **Update notifications** — know when a new version is available

---

## Quick Start

```bash
# Install from PyPI
pip install acorn-agent

# Run it
acorn
```

On first run it will ask you to choose authentication:
1. **Gemini API key** — get one free at [aistudio.google.com](https://aistudio.google.com/apikey) (easiest)
2. **Vertex AI** — use your GCP project (enterprise)

Or set it via environment variable:
```bash
export GEMINI_API_KEY="your-key-here"
acorn
```

---

## Installation (Full Guide)

### Prerequisites

| Requirement | Why |
|-------------|-----|
| Python 3.11+ | Runtime |
| Gemini API key **or** GCP project | Model access |

### Step 1: Install

```bash
pip install acorn-agent
```

Or from source:
```bash
git clone https://github.com/andamagodwin/acorn.git
cd acorn
pip install -e .
```

### Step 2: Authentication

**Option A: API Key (easiest)**

Get a free API key at [aistudio.google.com/apikey](https://aistudio.google.com/apikey), then:
```bash
export GEMINI_API_KEY="your-key-here"
acorn
```

Or just run `acorn` and it will prompt you on first launch.

**Option B: Vertex AI (enterprise)**

For organizations using GCP:
```bash
gcloud auth application-default login
gcloud services enable aiplatform.googleapis.com
export ACORN_PROJECT="your-gcp-project-id"
acorn
```

### Step 3: Run

```bash
cd ~/your-project
acorn
```

---

## Usage

```bash
# Start in current directory
acorn

# Use a specific model
acorn --model gemini-2.5-flash

# Use an API key directly
acorn --key YOUR_API_KEY

# List available models
acorn --models

# Disable streaming
acorn --no-stream

# Disable smart routing (always use Pro)
acorn --no-routing

# Auto-approve all file writes (careful!)
acorn --unsafe

# Override GCP project (Vertex AI mode)
acorn --project my-project-id

# Help
acorn --help
```

### Attach Images

Just include an image path in your message:

```
> what's wrong in screenshot.png
> implement the design in mockup.jpg
```

Gemini will analyze the image and respond accordingly.

---

## Commands

| Command | What it does |
|---------|--------------|
| `/help` | Show all commands |
| `/model <name>` | Switch model (or list available) |
| `/cost` | Show session cost breakdown |
| `/status` | Token usage, routing stats, cost |
| `/plan` | Show current task execution plan |
| `/undo` | Revert the last file change |
| `/clear` | Reset context and session |
| `/sessions` | List saved sessions |
| `/routing on\|off` | Toggle smart routing |
| `/config` | Show current configuration |
| `/exit` | Quit |

---

## Project Configuration

Drop a `.acorn.toml` in any project root to customize Acorn's behavior for that repo:

```toml
[model]
pro = "gemini-2.5-pro"
flash = "gemini-2.5-flash"
temperature = 0.2
max_output_tokens = 65536

[routing]
enabled = true
threshold = 200

[project]
gcp_project = "your-project-id"
location = "us-central1"

[permissions]
safe_commands = [
    "npm run", "npm test", "cargo build",
    "python -m pytest", "make",
]
```

Acorn auto-detects this file by walking up from your working directory.

### Project Instructions (`.acorn.md`)

Drop a `.acorn.md` in your project root to give Acorn persistent context about your project:

```markdown
# Project: MyApp

## Tech Stack
- Python 3.12, FastAPI, SQLAlchemy
- Frontend: React + TypeScript

## Conventions
- Use snake_case for Python, camelCase for TypeScript
- Always add type hints
- Tests go in tests/ with pytest

## Important
- Never modify migrations directly — use alembic
- The auth module is being rewritten, don't touch auth/legacy/
```

This gets injected into the system prompt, so Acorn always knows your project's conventions.

---

## For Collaborators

### Joining the Project

1. Get added as a collaborator on the GitHub repo
2. Clone and install:
   ```bash
   git clone https://github.com/andamagodwin/acorn.git
   cd acorn
   pip install -e .
   ```
3. Set up GCP authentication:
   ```bash
   gcloud auth login
   gcloud auth application-default login
   ```
4. Ask the project owner to add you to the GCP project with the **"Vertex AI User"** role in IAM
5. Run `acorn` from any directory

### IAM Setup (For Project Owner)

To add a collaborator to your GCP project:

```bash
gcloud projects add-iam-policy-binding YOUR_PROJECT_ID \
  --member="user:their-email@gmail.com" \
  --role="roles/aiplatform.user"
```

Or in the console: IAM & Admin > IAM > Grant Access > Role: "Vertex AI User"

---

## Architecture

```
acorn/
├── config/
│   ├── settings.py        — Models, permissions, safety rules
│   └── project_config.py  — .acorn.toml loader
├── core/
│   ├── agent.py           — Main brain: streaming agentic loop
│   ├── context.py         — Context window with auto-compaction
│   ├── costs.py           — Token usage and cost tracking
│   ├── planner.py         — Multi-step task planning
│   ├── router.py          — Smart model routing (Flash vs Pro)
│   └── session.py         — Session persistence to ~/.acorn/sessions/
├── tools/
│   ├── filesystem.py      — Read, write, edit, search, list
│   ├── terminal.py        — Command execution with timeout
│   └── git_tools.py       — Git-aware project understanding
├── ui/
│   └── terminal_ui.py     — Terminal UI with markdown rendering
└── main.py                — CLI entry point
```

---

## How It Works

1. You type a message
2. Acorn routes it to Flash (simple) or Pro (complex)
3. The model calls tools — reads files, edits code, runs commands
4. Tool results feed back for up to 25 iterations per turn
5. If something fails, it sees the error and adapts
6. Response streams to your terminal in real-time

---

## Safety

| Layer | What it does |
|-------|--------------|
| Blocked commands | `rm -rf /`, `mkfs`, fork bombs — permanently blocked |
| Safe commands | `ls`, `git status`, `grep` — auto-execute |
| Permission prompts | File writes, unknown commands — asks you first |
| File backups | Every edit is backed up for `/undo` |
| Context isolation | Won't touch `.env` files or expose secrets |

---

## Cost

| Model | Input | Output | Typical session |
|-------|-------|--------|-----------------|
| Gemini 3.1 Pro | $1.25/M tokens | $10.00/M tokens | $0.50–$2.00 |
| Gemini 2.5 Flash | $0.15/M tokens | $0.60/M tokens | $0.02–$0.10 |

Smart routing saves ~70% by using Flash for greetings, questions, and simple lookups.

Use `/cost` to see your spending mid-session.

---

## Troubleshooting

| Problem | Fix |
|---------|-----|
| `ModuleNotFoundError: No module named 'acorn'` | Run `pip install -e .` from the acorn directory |
| `404 NOT_FOUND` model error | Gemini 3.1 requires `location="global"` (already set). If using 2.5 models only, you can use `us-central1` |
| `Permission denied` on gcloud | Run `gcloud auth application-default login` |
| `Vertex AI API not enabled` | Run `gcloud services enable aiplatform.googleapis.com` |
| Session won't resume | Delete `~/.acorn/sessions/` and restart |

---

## License

MIT
