Community-contributed configurations for using apfel with other tools.
For scripting language guides (how to call apfel from Python, Node.js, Ruby, PHP, Bash, Zsh, AppleScript, Swift, Perl, AWK) see docs/guides/index.md. Every snippet there was run against a live apfel server; lab repo: apfel-guides-lab.
opencode is an open-source terminal AI coding agent. Wire it to apfel's OpenAI-compatible server and every token stays on-device at zero cost. Re-verified end-to-end on opencode 1.17.16 + apfel 1.8.2.
Full setup, the verified config, a real transcript, and every gotcha are on the dedicated page: docs/integrations/opencode.md. The one you must not miss: opencode pastes your global ~/.claude/CLAUDE.md into the system prompt, which overflows apfel's on-device context window (4096 tokens on macOS 26, 8192 on macOS 27) - fix it with export OPENCODE_DISABLE_CLAUDE_CODE_PROMPT=1.
Zed's agent panel works with apfel via the chat-completions provider. On-device, no key.
Heads-up: use language_models.openai_compatible (chat). Do not use edit_predictions.open_ai_compatible_api - that's a legacy text-completions endpoint apfel deliberately doesn't support.
Config: ~/.config/zed/settings.json
{
"language_models": {
"openai_compatible": {
"Apfel": {
"api_url": "http://127.0.0.1:11434/v1",
"available_models": [
{
"name": "apple-foundationmodel",
"display_name": "Apfel (apple on-device)",
"max_tokens": 4096,
"max_output_tokens": 1024,
"capabilities": { "tools": true, "images": false, "parallel_tool_calls": false, "prompt_cache_key": false }
}
]
}
}
}
}max_tokens: 4096 matches the macOS 26 on-device window; on macOS 27 the window is 8192 - apfel --model-info prints the live value.
Start apfel:
apfel --serveLaunch Zed (Zed insists on a key for the provider; apfel ignores it):
APFEL_API_KEY=dummy zedOpen the agent panel (Cmd+?), pick Apfel (apple on-device), send a prompt. Zed POSTs to /v1/chat/completions on apfel.
Use apfel as the local review/chat model in Visual Studio Code and pair it with a second model for Edit/Apply. (See also: Leveraging multiple, repository-specific OpenAI Codex API Keys with Visual Studio Code on macOS.)
Step-by-step setup: local-setup-with-vs-code.md
Why this setup works well:
apfelstays in the small-context, low-latency review lane- Continue provides the Visual Studio Code integration
- a second model can handle larger edit/apply tasks without overloading
apfel's small on-device context window (4096 tokens on macOS 26, 8192 on macOS 27)
Have an integration to share? Open an issue at https://github.com/Arthur-Ficial/apfel/issues.