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- 2026년 6월 29일 11:13
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소스 지침 · 읽기 전용 미리보기- name
- opencode
- description
- Delegate coding to OpenCode CLI (multi-LLM open-source coding agent)
- category
- agent-bridge
- version
- 1.0.0
- origin
- aiden
- license
- Apache-2.0
- tags
- opencode, ai-coding, agent-bridge, open-source, multi-model, coding, delegation, claude, gpt
# OpenCode CLI Agent Bridge
Delegate coding tasks to OpenCode — an open-source AI coding CLI that supports multiple LLM providers (Anthropic, OpenAI, Gemini, local Ollama). Provides a terminal UI for interactive coding sessions.
## When to Use
- User wants an open-source, self-hostable AI coding agent
- User wants to use local Ollama models for coding without cloud API costs
- User wants to switch between multiple LLM providers for the same task
- Task requires a coding agent with a built-in terminal UI
- User wants to run coding sessions with custom model configurations
## How to Use
### 1. Install OpenCode
```powershell
# Install via npm
npm install -g opencode-ai
# Or install via the installer script
Invoke-WebRequest -Uri "https://opencode.ai/install" -UseBasicParsing | Invoke-Expression
# Verify
opencode --version
```
### 2. Configure providers
OpenCode reads from `~/.config/opencode/config.json`:
```powershell
$config = @{
providers = @{
anthropic = @{ apiKey = $env:ANTHROPIC_API_KEY }
openai = @{ apiKey = $env:OPENAI_API_KEY }
ollama = @{ baseUrl = "http://localhost:11434" }
}
model = "anthropic/claude-opus-4-5"
} | ConvertTo-Json -Depth 5
$configDir = "$env:USERPROFILE\.config\opencode"
New-Item -ItemType Directory -Force -Path $configDir | Out-Null
Set-Content -Path "$configDir\config.json" -Value $config
```
### 3. Run an interactive coding session
```powershell
Set-Location "C:\Users\<you>\myproject"
opencode
# Opens terminal UI — type your task in the prompt
```
### 4. Run a specific task non-interactively
```powershell
# Run task without TUI
opencode run "Add pagination to the GET /users endpoint"
# Run with a specific model
opencode run --model "openai/gpt-4o" "Refactor the auth middleware to handle OAuth2"
```
### 5. Use local Ollama model (no cloud API costs)
```powershell
# Ensure Ollama is running with a code-capable model
# ollama pull qwen2.5-coder:7b
opencode run --model "ollama/qwen2.5-coder:7b" "Write a Python script to parse CSV files"
```
### 6. Run on a specific file
```powershell
opencode run "Review and fix the error handling in" src/api/payments.ts
```
### 7. Generate a new file
```powershell
opencode run "Create a new TypeScript module at src/cache/redis.ts that wraps ioredis with:
- connect(), disconnect() methods
- get(key), set(key, value, ttlSeconds) methods
- Proper error handling and type safety"
```
## Examples
**"Use the local Qwen model to add tests to my utility functions"**
→ Use step 5 with `--model "ollama/qwen2.5-coder:7b"` and ask it to generate tests for your utils file.
**"Run an interactive coding session on my project"**
→ Use step 3 — navigate to the project first, then run `opencode` to open the TUI.
**"Refactor this module but use GPT-4o instead of Claude"**
→ Use step 4 with `--model "openai/gpt-4o"`.
## Cautions
- OpenCode requires at least one provider configured with a valid API key (or Ollama running locally)
- The TUI mode (step 3) requires a terminal that supports ANSI escape codes — works in Windows Terminal
- Local models via Ollama are free but slower and less capable than cloud models for complex refactoring
- OpenCode may request file system access — review the project scope before running on sensitive codebases
- Check https://opencode.ai for the latest install instructions as the project is actively developed
GitHub에서 보기