AgentCode
Agentic AI coding assistant for VS Code — chat, edit, run tools, and get inline completions powered by Claude, GPT, or Gemini. Open source, multi-model, and cost-aware.
Quick Start
1. Install the CLI
pip install agentcode-cli
2. Add your API key
Open VS Code Settings (Cmd+, / Ctrl+,) and search AgentCode, then paste your key:
| Setting |
Key |
agentcode.anthropicApiKey |
sk-ant-... |
agentcode.openaiApiKey |
sk-... |
agentcode.geminiApiKey |
Google AI key |
Or add a .env file to your project root — AgentCode reads it automatically:
ANTHROPIC_API_KEY=sk-ant-...
3. Open the chat panel
Press Cmd+Shift+A (Mac) / Ctrl+Shift+A (Windows/Linux) or run AgentCode: Open from the Command Palette.
Features
Agentic Chat Panel
Ask AgentCode to read files, write code, run shell commands, search your codebase, and more — all from the side panel. It streams responses in real time, shows every tool call it makes, and asks for your approval before writing or running anything.
Inline Completions
Ghost-text suggestions appear as you type. Press Tab to accept. Toggle on/off anytime via AgentCode: Toggle inline completions in the Command Palette.
By default completions use Claude Haiku (requires agentcode.anthropicApiKey). You can swap in any OpenAI-compatible /v1/chat/completions endpoint — a vLLM or TGI server, or a HuggingFace Inference Endpoint — by setting agentcode.inlineCompletions.endpoint, agentcode.inlineCompletions.model, and (if the endpoint requires one) agentcode.inlineCompletions.apiKey.
Multi-Model Support
Switch models mid-session from the dropdown in the chat panel. Works with:
| Provider |
Models |
| Anthropic |
claude-sonnet-5 (default), claude-haiku-4-5, claude-opus-5, claude-fable-5 |
| OpenAI |
gpt-5.6-sol, gpt-5.6-terra, gpt-5.6-luna |
| Google |
gemini/gemini-3.1-pro-preview, gemini/gemini-3.6-flash, gemini/gemini-3.5-flash-lite |
The dropdown lists common choices, but any of LiteLLM's ~3,000 model names works in the agentcode.model setting. Newly released models become available by upgrading the CLI backend's litellm (pip install -U litellm) — no extension update needed.
Cost-Aware Routing
Automatically routes each request to the cheapest model capable of handling it — heavy tasks go to powerful models, simple ones go to fast/cheap ones.
Active File Context
Your current file is attached to every message automatically. No copy-pasting needed.
Diff Viewer
When AgentCode wants to edit a file, VS Code's native diff viewer opens so you can review the change before it's applied.
Commands
| Command |
Shortcut |
Description |
AgentCode: Open |
Cmd+Shift+A |
Open the chat panel |
AgentCode: Ask about selection |
Right-click menu |
Ask about highlighted code |
AgentCode: Explain this file |
Right-click menu |
Explain the current file |
AgentCode: Toggle inline completions |
Command Palette |
Enable or disable ghost-text completions |
Configuration
| Setting |
Default |
Description |
agentcode.anthropicApiKey |
— |
Anthropic API key |
agentcode.openaiApiKey |
— |
OpenAI API key |
agentcode.geminiApiKey |
— |
Google Gemini API key |
agentcode.model |
claude-sonnet-5 |
Default model |
agentcode.executablePath |
agentcode |
Path to agentcode binary if not on PATH |
agentcode.inlineCompletions.enabled |
true |
Enable inline completions |
agentcode.inlineCompletions.endpoint |
— |
Optional OpenAI-compatible /v1 endpoint (e.g. a vLLM server or HuggingFace Inference Endpoint) |
agentcode.inlineCompletions.model |
— |
Model name to request from the custom endpoint |
agentcode.inlineCompletions.apiKey |
— |
API key for the custom endpoint, if it requires one |
Keys can also be set via environment variables or a .env file in your project root — VS Code settings take priority.
Links
- GitHub — source code, issues, contributions welcome
- PyPI — CLI package
License
MIT
