Metadata-Version: 2.4
Name: agentcode-cli
Version: 1.4.0
Summary: An open, multi-model agentic coding CLI — inspired by Claude Code
Author: Vignesh Pai
License: MIT License
        
        Copyright (c) 2026 Vignesh Pai
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
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Project-URL: Homepage, https://github.com/vigp17/AgentCode
Project-URL: Repository, https://github.com/vigp17/AgentCode
Project-URL: Bug Tracker, https://github.com/vigp17/AgentCode/issues
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Environment :: Console
Classifier: Topic :: Software Development
Classifier: Topic :: Utilities
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: litellm>=1.40.0
Requires-Dist: rich>=13.0.0
Requires-Dist: python-dotenv>=1.0.0
Requires-Dist: mcp>=1.0.0
Provides-Extra: dev
Requires-Dist: build; extra == "dev"
Requires-Dist: twine; extra == "dev"
Requires-Dist: pytest>=8.0; extra == "dev"
Dynamic: license-file

# AgentCode

An open, multi-model agentic coding assistant — available as a CLI and VS Code extension. Inspired by Claude Code.

Works with Claude, GPT, Gemini, and any model supported by [LiteLLM](https://docs.litellm.ai/docs/providers).

---

## Choose your setup

### Option A: CLI only

```bash
pip install agentcode-cli
```

Add your API key to a `.env` file in your project:

```
ANTHROPIC_API_KEY=sk-ant-...
OPENAI_API_KEY=sk-...        # optional
GEMINI_API_KEY=...           # optional
```

Run:

```bash
agentcode                          # interactive REPL
agentcode "fix the failing tests"  # one-shot mode
agentcode --model gpt-5.6-terra    # use a specific model
```

All flags:

| Flag | Description |
|------|-------------|
| `--model`, `-m` | Model to use (overrides settings and `AGENTCODE_MODEL`) |
| `--no-route` | Disable cost-aware routing — always use the specified model |
| `--auto-approve`, `-y` | Skip permission prompts (use with caution) |
| `--dir`, `-d` | Project directory to operate in (default: current dir) |
| `--init-settings` | Create a starter `.agentcode/settings.json` and exit |
| `--server` | JSON stdio server mode (used by the VS Code extension) |

---

### Option B: VS Code Extension

> The extension requires the CLI installed as a backend. Install it first.

**Step 1 — Install the CLI:**
```bash
pip install agentcode-cli
```

**Step 2 — Install the extension:**
- Search **AgentCode** in the VS Code Marketplace and install, or
- Download the latest `.vsix` from the [GitHub releases page](https://github.com/vigp17/AgentCode/releases) and install via `Cmd+Shift+X` → `...` → **Install from VSIX...**

**Step 3 — Add your API key:**
`Cmd+,` → search **AgentCode** → paste your key into `agentcode.anthropicApiKey`

**Step 4 — Open the chat panel:**
Press `Cmd+Shift+A`

#### Extension settings

| Setting | Description |
|---------|-------------|
| `agentcode.anthropicApiKey` | Anthropic API key |
| `agentcode.openaiApiKey` | OpenAI API key |
| `agentcode.geminiApiKey` | Google Gemini API key |
| `agentcode.model` | Default model (e.g. `claude-sonnet-5`) |
| `agentcode.executablePath` | Path to `agentcode` if not on PATH |
| `agentcode.inlineCompletions.enabled` | Enable/disable inline completions (default: `true`) |

#### Extension commands

| Command | Shortcut | Description |
|---------|----------|-------------|
| `AgentCode: Open` | `Cmd+Shift+A` | Open the chat panel |
| `AgentCode: Ask about selection` | Right-click | Ask about highlighted code |
| `AgentCode: Explain this file` | Right-click | Explain the current file |
| `AgentCode: Toggle inline completions` | Command Palette | Enable or disable inline completions |

#### Extension features

- **Inline completions** — AI-powered ghost-text suggestions as you type, powered by Claude Haiku. Press `Tab` to accept
- **Live streaming** — responses stream in real time
- **Model picker** — switch between Claude, GPT, and Gemini models from the dropdown in the header
- **Active file context** — your current file is sent automatically, no copy-pasting needed
- **Diff viewer** — edit tool calls open VS Code's native diff viewer so you can review changes before applying
- **Right-click actions** — ask about selected code or explain a file directly from the editor

---

## Supported Models

| Provider | Model | API Key |
|----------|-------|---------|
| Anthropic | `claude-sonnet-5` (default) | `ANTHROPIC_API_KEY` |
| Anthropic | `claude-opus-5` | `ANTHROPIC_API_KEY` |
| Anthropic | `claude-fable-5` (opt-in, hardest long-horizon work) | `ANTHROPIC_API_KEY` |
| Anthropic | `claude-haiku-4-5` | `ANTHROPIC_API_KEY` |
| OpenAI | `gpt-5.6-sol`, `gpt-5.6-terra`, `gpt-5.6-luna` | `OPENAI_API_KEY` |
| Google | `gemini/gemini-3.1-pro-preview`, `gemini/gemini-3.6-flash`, `gemini/gemini-3.5-flash-lite` | `GEMINI_API_KEY` |

Any of LiteLLM's ~3,000 models works — the table above is just the routing
default. Run `/models <filter>` in the REPL to browse what's available with
current prices, then `/model <name>` to switch.

### Keeping up with new releases

Pricing and model availability come from **LiteLLM's model registry**, not from
hardcoded values in this repo. When a provider ships a new model:

```bash
pip install -U litellm
```

That's it — the new model becomes usable by name and its costs are tracked
correctly, with no AgentCode release required. `/models` will list it.

What does *not* update automatically is which model serves each routing tier
(light/medium/heavy) — that's a judgement call, so it stays explicit. Point a
tier at a new model yourself in `.agentcode/settings.json`:

```json
{
  "model": {
    "light":  "gpt-5.6-luna",
    "medium": "gpt-5.6-terra",
    "heavy":  "gpt-5.6-sol"
  }
}
```

If you set a model AgentCode can't price (a typo, or one newer than your
LiteLLM version), it warns at startup and reports costs as `$0.00` rather than
guessing.

---

## Cost-Aware Routing

AgentCode automatically picks the cheapest model that can handle the task:

| Tier | Anthropic | OpenAI | Gemini |
|------|-----------|--------|--------|
| Light | Haiku 4.5 | GPT-5.6 Luna | Gemini 3.5 Flash-Lite |
| Medium | Sonnet 5 | GPT-5.6 Terra | Gemini 3.6 Flash |
| Heavy | Opus 5 | GPT-5.6 Sol | Gemini 3.1 Pro |

Simple questions go to cheap/fast models. Complex multi-file tasks go to powerful ones. Use `--no-route` to always use the specified model.

For the hardest long-horizon agent work, pick **`claude-fable-5`** manually (CLI `--model` or the extension picker). It is not used by auto-routing so routine heavy tasks stay on Opus.

---

## Tools

### File & Shell

| Tool | Description | Permission |
|------|-------------|------------|
| `read_file` | Read file contents with line numbers | Auto |
| `write_file` | Create or overwrite a file | Ask |
| `edit_file` | Surgical find-and-replace edit | Ask |
| `run_command` | Execute a bash command | Ask |
| `list_directory` | Tree view of directory structure | Auto |
| `search_files` | Find files by glob pattern | Auto |
| `search_text` | Grep for text across files | Auto |

### Git

| Tool | Description | Permission |
|------|-------------|------------|
| `git_status` | Show working tree status | Auto |
| `git_diff` | Show staged or unstaged changes | Auto |
| `git_log` | Show recent commit history | Auto |
| `git_commit` | Stage files and create a commit | Ask |
| `git_branch` | List, create, or switch branches | Ask |
| `git_push` | Push commits to a remote | Ask |

### Subagents

| Tool | Description | Permission |
|------|-------------|------------|
| `spawn_subagents` | Run multiple agents in parallel on subtasks | Auto |

**Permission model:** Read-only tools auto-approve. Write/execute tools and
MCP tools ask before running (unless `--auto-approve` / `-y` is set). Tools on
the `permissions.deny` list are always blocked, even with auto-approve on.
Which tools fall into which bucket is configurable — see Settings below.

---

## Settings

Create a settings file with:

```bash
agentcode --init-settings
```

This writes `.agentcode/settings.json` in your project. A global file at
`~/.agentcode/settings.json` is also read; precedence is
**CLI flags → project → global → built-in defaults**. View the merged result
anytime with `/settings`.

```json
{
  "permissions": {
    "auto_approve_all": false,
    "auto_approve": ["read_file", "list_directory", "search_files",
                     "search_text", "git_status", "git_log", "git_diff",
                     "spawn_subagents"],
    "deny": []
  },
  "model": {
    "default": "claude-sonnet-5",
    "routing": true,
    "light": null, "medium": null, "heavy": null
  },
  "limits": {
    "max_file_size": 1000000,
    "max_output": 50000,
    "max_search_results": 100,
    "max_iterations": 25
  },
  "hooks": {}
}
```

| Key | Meaning |
|-----|---------|
| `permissions.auto_approve_all` | `true` skips all permission prompts (like `-y`) |
| `permissions.auto_approve` | Tools that run without asking (default: read-only tools) |
| `permissions.deny` | Tools that are always blocked — beats every other setting |
| `model.default` | Default model string |
| `model.routing` | Enable cost-aware routing |
| `model.light/medium/heavy` | Override the model for a routing tier |
| `limits.*` | File-size, output, search, and iteration caps |
| `hooks` | Same format as `hooks.json` (see Hooks) |

To gate an MCP tool or approve it permanently, use its full name, e.g.
`"deny": ["mcp__github__delete_repository"]` or
`"auto_approve": ["mcp__filesystem__read_file"]`.

---

## Slash Commands (CLI only)

| Command | Description |
|---------|-------------|
| `/model <name>` | Switch model on the fly |
| `/models [filter]` | Browse available models and live prices |
| `/route` | Show or toggle cost-aware routing |
| `/cost` | Show session cost breakdown |
| `/mcp` | Manage MCP server connections |
| `/mcp list` | Show connected servers |
| `/mcp add <server>` | Connect a server |
| `/mcp remove <server>` | Disconnect a server |
| `/clear` | Reset conversation and delete saved session |
| `/compact` | Force LLM-powered context compaction |
| `/tokens` | Show estimated token usage |
| `/init` | Create an AGENTCODE.md template |
| `/settings` | Show resolved settings |
| `/help` | Show help |
| `/exit` | Quit |

---

## Session Persistence

Conversations are automatically saved to `.agentcode_session.json` in your project directory and resumed on next launch. Use `/clear` to start fresh.

---

## MCP Support (CLI only)

Connect to any [MCP server](https://modelcontextprotocol.io) using `/mcp add`:

```
/mcp add github       # prompts for GitHub token
/mcp add filesystem   # no credentials needed
/mcp add postgres     # prompts for connection string
/mcp add sqlite       # prompts for database path
```

Config is saved to `.agentcode/mcp.json` and reloaded on next launch.

**Security notes:**
- Credentials in `mcp.json` are stored in plaintext. AgentCode sets the file
  to mode `600` and adds `.agentcode/` to your `.gitignore` automatically, but
  prefer scoped, revocable tokens where the service offers them.
- MCP tools ask for permission before running, like built-in write tools. Add
  specific tools to `permissions.auto_approve` or `permissions.deny` in
  settings.json to change that (see Settings).

**Advanced** — edit `.agentcode/mcp.json` directly for custom servers:

```json
{
  "mcpServers": {
    "my-server": {
      "command": "npx",
      "args": ["-y", "@myorg/mcp-server"],
      "env": {"API_KEY": "..."}
    }
  }
}
```

Global config goes in `~/.agentcode/mcp.json`.

---

## Hooks

Run shell commands before or after any tool call. Create `.agentcode/hooks.json`:

```json
{
  "post_edit_file": "prettier --write \"$AGENTCODE_PATH\"",
  "post_write_file": "prettier --write \"$AGENTCODE_PATH\"",
  "pre_run_command": "echo \"Running: $AGENTCODE_COMMAND\""
}
```

Supported keys: `pre_<toolname>`, `post_<toolname>`, `pre_tool` / `post_tool` (wildcard). Global hooks go in `~/.agentcode/hooks.json`.

---

## AGENTCODE.md

AgentCode loads project instructions from `AGENTCODE.md` in your project directory and injects them into the system prompt automatically. Run `/init` to generate a starter template.

---

## Subagents

AgentCode can spawn parallel agents for independent subtasks:

> "Analyze agent.py, router.py, and tools.py in parallel and summarize each one"

The agent calls `spawn_subagents` internally, runs up to 5 agents in parallel, and returns combined results.

Subagents inherit the session's permission settings, and their approval
prompts are serialized so they never talk over each other. By default they
cannot spawn subagents of their own — raise `AGENTCODE_MAX_SUBAGENT_DEPTH` if
you want deeper nesting.

---

## Architecture

```
┌────────────────────────┐      ┌────────────────────────┐
│      cli.py (UI)       │      │  server.py (VS Code)   │
│  REPL · slash commands │      │  JSON stdio protocol   │
│  Rich terminal UI      │      │  for the extension     │
└───────────┬────────────┘      └───────────┬────────────┘
            │                               │
┌───────────▼───────────────────────────────▼────────────┐
│                    agent.py (Brain)                    │
│  Agentic loop · context compaction · permissions       │
│  Hooks · subagents (depth-capped) · settings.py config │
│                                                        │
│   while needs_follow_up:                               │
│     1. router.py picks the model (cost-aware tiers)    │
│     2. Send messages + tools → LLM (via LiteLLM)       │
│     3. If tool_calls → execute, append, loop           │
│        (xml_tool_parser.py converts inline XML/JSON    │
│         tool calls from open-weight fine-tunes)        │
│     4. If text only  → done                            │
└───────────┬───────────────────────────────┬────────────┘
            │                               │
┌───────────▼─────────┐         ┌───────────▼────────────┐
│  tools.py (Hands)   │         │      mcp_client.py     │
│  read/write/edit    │         │  Connect to MCP        │
│  run_command        │         │  servers and expose    │
│  list/search        │         │  their tools to the    │
│  git operations     │         │  agent loop            │
│  spawn_subagents    │         └────────────────────────┘
└─────────────────────┘
```

---

## Environment Variables

| Variable | Description | Default |
|----------|-------------|---------|
| `AGENTCODE_MODEL` | Default model | `claude-sonnet-5` |
| `AGENTCODE_MAX_ITERATIONS` | Max tool-call iterations per turn | `25` |
| `AGENTCODE_MAX_SUBAGENT_DEPTH` | How deep subagents may nest | `1` |
| `ANTHROPIC_API_KEY` | Anthropic API key | — |
| `OPENAI_API_KEY` | OpenAI API key | — |
| `GEMINI_API_KEY` | Google Gemini API key | — |

---

## How to Extend

### Add a new tool

1. Add the function schema to `TOOL_DEFINITIONS` in `tools.py`
2. Implement the function
3. Register it in `TOOL_MAP`
4. If it requires approval, omit it from `permissions.auto_approve` in `.agentcode/settings.json`

---

## Publishing to PyPI

```bash
pip install build twine
python -m build
twine upload dist/*
```

---

## License

MIT
