## Description Clarifies the recommended install path for the Headroom CLI on macOS Apple Silicon and Linux. The docs now prefer `uv tool install --python 3.13 "headroom-ai[all]"` for host-level CLI use, keep `pip install` scoped to Python project environments, and call out absolute executable paths for MCP clients that do not inherit interactive shell `PATH`. ## Type of Change - [ ] Bug fix (non-breaking change that fixes an issue) - [ ] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [x] Documentation update - [ ] Performance improvement - [ ] Code refactoring (no functional changes) ## Changes Made - Added `uv tool install --python 3.13` guidance to the README, docs install page, quickstarts, and wiki install pages. - Documented `uv tool update-shell` for shells that cannot find the installed `headroom` command. - Clarified absolute MCP server command paths for clients that do not inherit the interactive shell `PATH`. - Pointed Intel macOS users at the Docker-native install path until native wheel support lands. ## Testing Describe the tests you ran to verify your changes: - [ ] Unit tests pass (`pytest`) - not run; docs-only change. - [ ] Linting passes (`ruff check .`) - not run; docs-only change. - [ ] Type checking passes (`mypy headroom`) - not run; docs-only change. - [ ] New tests added for new functionality - not applicable. - [x] Manual testing performed - [x] `git diff --check upstream/main...HEAD` ## Real Behavior Proof ```bash $ git diff --check upstream/main...HEAD # exits 0; no whitespace errors ``` `npm --prefix docs run types:check` was also attempted. It regenerated MDX and route types successfully, then failed in existing docs app code because `@/lib/...` imports cannot resolve from files such as `app/(home)/layout.tsx`, `app/api/search/route.ts`, and `components/button.tsx`. This PR only changes `README.md`, `docs/content/docs/installation.mdx`, `docs/content/docs/quickstart.mdx`, and `wiki/*.md` files. ## Review Readiness - [x] Draft PR; docs wording and install-path accuracy are ready for review. - [x] No code or runtime files changed. - [x] Known docs type-check blocker is documented above. ## Test Output ```bash $ git diff --check upstream/main...HEAD # no output ``` ```text $ npm --prefix docs run types:check [MDX] generated files ✓ Types generated successfully app/(home)/layout.tsx(2,29): error TS2307: Cannot find module @/lib/layout.shared or its corresponding type declarations. ... components/button.tsx(4,20): error TS2307: Cannot find module @/lib/cn or its corresponding type declarations. ``` ## Checklist - [x] My code follows the project's style guidelines - [x] I have performed a self-review of my code - [ ] I have commented my code, particularly in hard-to-understand areas - not applicable; docs-only change. - [x] I have made corresponding changes to the documentation - [x] My changes generate no new warnings - [ ] I have added tests that prove my fix is effective or that my feature works - not applicable; docs-only change. - [ ] New and existing unit tests pass locally with my changes - not run; docs-only change. - [ ] I have updated the CHANGELOG.md if applicable - not applicable. ## Screenshots (if applicable) Not applicable. ## Additional Notes The PR remains a draft while docs verification is limited by the existing docs app `@/lib/*` resolution issue. --------- Co-authored-by: JerrettDavis <mxjerrett@gmail.com>
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macOS Deployment Guide
This guide covers deploying the headroom proxy server as a background service on macOS using LaunchAgent. The service will start automatically on login and restart on crash.
Overview
macOS LaunchAgent provides a native way to run background services with:
- Automatic startup on user login
- Crash recovery with automatic restart
- Standard logging to
~/Library/Logs/ - Native lifecycle management via
launchctl
This is ideal for local development environments where you want "set and forget" proxy configuration.
Prerequisites
- macOS 10.13+ (High Sierra or later)
- headroom-ai installed with proxy support
- Anthropic API key configured
Installing Headroom with Proxy Support
# Install the host CLI with proxy support
uv tool install --python 3.13 "headroom-ai[proxy]"
# If your shell cannot find `headroom` after installation
uv tool update-shell
# Verify installation
headroom proxy --help
On macOS with Homebrew, python3 may point at a newer interpreter than the
current Headroom wheel set. Passing --python 3.13 keeps the CLI install on a
wheel-supported interpreter. If Python 3.13 is missing, install it first:
brew install python@3.13
API Key Configuration
Your Anthropic API key can be configured in several ways:
Option 1: Shell environment (recommended)
# Add to ~/.bashrc or ~/.zshrc
export ANTHROPIC_API_KEY="sk-ant-..."
Option 2: LaunchAgent plist
<key>EnvironmentVariables</key>
<dict>
<key>ANTHROPIC_API_KEY</key>
<string>sk-ant-...</string>
</dict>
Option 3: System environment
# Add to /etc/launchd.conf (requires admin)
setenv ANTHROPIC_API_KEY sk-ant-...
Quick Install
The automated installer handles all setup:
# Clone or navigate to headroom repository
cd examples/deployment/macos-launchagent
# Run installer
./install.sh
The installer will:
- Detect your headroom installation
- Prompt for port configuration (default: 8787)
- Create log directory
- Generate LaunchAgent plist
- Load and start the service
- Verify service is running
Installation Options
Custom port:
./install.sh --port 9000
Unattended install (no prompts):
./install.sh --port 8787 --unattended
Reinstall over existing:
# Installer will prompt to reinstall if service exists
./install.sh
Manual Installation
If you prefer full control over the installation:
Step 1: Create Log Directory
mkdir -p ~/Library/Logs/headroom
Step 2: Generate LaunchAgent Plist
Copy and customize the template:
cd examples/deployment/macos-launchagent
cp com.headroom.proxy.plist.template ~/Library/LaunchAgents/com.headroom.proxy.plist
Edit ~/Library/LaunchAgents/com.headroom.proxy.plist:
-
Replace
__HEADROOM_PATH__with your headroom path:command -v headroom # Example output: /usr/local/bin/headroom -
Replace
__PORT__with your desired port (e.g.,8787) -
Replace
__HOME__with your home directory:echo $HOME # Example output: /Users/yourusername
Step 3: Load the LaunchAgent
launchctl bootstrap gui/$(id -u) ~/Library/LaunchAgents/com.headroom.proxy.plist
Step 4: Verify Service
# Check if service is running
launchctl print gui/$(id -u)/com.headroom.proxy
# Check if port is listening
lsof -iTCP:8787 -sTCP:LISTEN
# Test health endpoint
curl http://localhost:8787/health
Configuration
Port Customization
The default port is 8787. To use a custom port:
During installation:
./install.sh --port 9000
After installation:
- Uninstall:
./uninstall.sh - Reinstall with new port:
./install.sh --port 9000 - Update shell integration:
export HEADROOM_PORT=9000
Log Location
Logs are written to standard macOS locations:
- Standard output:
~/Library/Logs/headroom/proxy.log - Error output:
~/Library/Logs/headroom/proxy-error.log
To change log locations, edit the plist:
<key>StandardOutPath</key>
<string>/custom/path/proxy.log</string>
Environment Variables
Configure additional options in the plist EnvironmentVariables section:
<key>EnvironmentVariables</key>
<dict>
<!-- Required: Proxy port -->
<key>HEADROOM_PORT</key>
<string>8787</string>
<!-- Optional: API key (or set in shell) -->
<key>ANTHROPIC_API_KEY</key>
<string>sk-ant-...</string>
</dict>
Note: The earlier LLMLingua-2 launch-agent variables
(HEADROOM_COMPRESSION_PROVIDER=llmlingua, HEADROOM_LLMLINGUA_DEVICE,
the headroom-ai[llmlingua] extra) were retired with the
--llmlingua flag. For ML compression today, install the [ml]
extra and follow wiki/transforms.md.
Crash Recovery
The LaunchAgent is configured with:
- KeepAlive: Automatically restarts on crash
- ThrottleInterval: 10 seconds between restart attempts
To disable automatic restart, edit the plist:
<key>KeepAlive</key>
<false/>
Shell Integration
Automatically configure your shell to use the proxy when available.
Setup
Add to ~/.bashrc (bash) or ~/.zshrc (zsh):
# Configure port (optional, defaults to 8787)
export HEADROOM_PORT=8787
# Source shell integration
source /path/to/headroom/examples/deployment/macos-launchagent/shell-integration.sh
What It Does
The shell integration script:
- Checks if proxy is running on configured port
- If running, sets
ANTHROPIC_BASE_URL=http://localhost:8787 - If not running, attempts to start the LaunchAgent
- Provides status messages on first load
This makes Claude clients automatically use the proxy without manual configuration.
Manual Configuration
If you prefer not to use shell integration:
# Add to ~/.bashrc or ~/.zshrc
export ANTHROPIC_BASE_URL=http://localhost:8787
Service Management
Check Status
# View service status
launchctl print gui/$(id -u)/com.headroom.proxy
# Check if port is listening
lsof -iTCP:8787 -sTCP:LISTEN
# Test health endpoint
curl http://localhost:8787/health
View Logs
# Tail standard output
tail -f ~/Library/Logs/headroom/proxy.log
# Tail error output
tail -f ~/Library/Logs/headroom/proxy-error.log
# View last 50 lines
tail -n 50 ~/Library/Logs/headroom/proxy-error.log
Restart Service
# Graceful restart (stop and let KeepAlive restart it)
launchctl kickstart -k gui/$(id -u)/com.headroom.proxy
# Manual stop/start
launchctl bootout gui/$(id -u)/com.headroom.proxy
launchctl bootstrap gui/$(id -u) ~/Library/LaunchAgents/com.headroom.proxy.plist
Stop Service Temporarily
# Disable without uninstalling
launchctl disable gui/$(id -u)/com.headroom.proxy
# Re-enable
launchctl enable gui/$(id -u)/com.headroom.proxy
Verification
After installation, verify everything is working:
1. Check Service Status
launchctl print gui/$(id -u)/com.headroom.proxy
Expected output includes:
state = running
2. Check Port
lsof -iTCP:8787 -sTCP:LISTEN
Should show headroom listening on port 8787.
3. Test Health Endpoint
curl http://localhost:8787/health
Expected response:
{"status": "healthy"}
4. Test Proxy Functionality
# Set base URL
export ANTHROPIC_BASE_URL=http://localhost:8787
# Test with Python
python -c "
import anthropic
client = anthropic.Anthropic()
response = client.messages.create(
model='claude-3-5-sonnet-20241022',
max_tokens=50,
messages=[{'role': 'user', 'content': 'Hi'}]
)
print(response.content[0].text)
"
5. Check Logs for Errors
tail -n 20 ~/Library/Logs/headroom/proxy-error.log
Should show no errors. Common startup errors are listed in Troubleshooting.
Troubleshooting
Service Won't Start
Symptom: launchctl print shows service not loaded or failed state
Check logs:
tail -n 50 ~/Library/Logs/headroom/proxy-error.log
Common causes:
| Error | Solution |
|---|---|
ANTHROPIC_API_KEY not set |
Set API key in environment or plist |
ModuleNotFoundError: No module named 'headroom' |
Install: uv tool install --python 3.13 "headroom-ai[proxy]" |
command not found: headroom |
Update plist with correct path: command -v headroom |
Address already in use |
Change port or stop conflicting service |
Port Already in Use
Symptom: Service starts but port not listening, logs show "Address already in use"
Find what's using the port:
lsof -iTCP:8787 -sTCP:LISTEN
Solutions:
- Stop conflicting service
- Use different port:
./uninstall.sh && ./install.sh --port 9000
Service Crashes Immediately
Symptom: Service starts but immediately exits
Check for Python errors:
tail -f ~/Library/Logs/headroom/proxy-error.log
Common causes:
- Missing dependencies:
uv tool install --python 3.13 "headroom-ai[proxy]" - Invalid API key: Verify
ANTHROPIC_API_KEY - Python version incompatible: Requires Python 3.10+
ANTHROPIC_BASE_URL Not Set
Symptom: Shell integration not setting environment variable
Verify proxy is running:
curl http://localhost:8787/health
Reload shell configuration:
source ~/.bashrc # or ~/.zshrc
Check shell integration is sourced:
# Should be set to 1
echo $HEADROOM_SHELL_INTEGRATION_LOADED
Service Not Auto-Starting on Login
Symptom: Service doesn't start after reboot
Verify LaunchAgent is loaded:
launchctl list | grep headroom
If not listed:
launchctl bootstrap gui/$(id -u) ~/Library/LaunchAgents/com.headroom.proxy.plist
Check RunAtLoad is enabled:
grep -A1 RunAtLoad ~/Library/LaunchAgents/com.headroom.proxy.plist
Should show:
<key>RunAtLoad</key>
<true/>
Permission Issues
Symptom: "Operation not permitted" errors
Ensure plist has correct permissions:
chmod 644 ~/Library/LaunchAgents/com.headroom.proxy.plist
Verify ownership:
ls -l ~/Library/LaunchAgents/com.headroom.proxy.plist
Should be owned by your user, not root.
Uninstallation
Quick Uninstall
cd examples/deployment/macos-launchagent
./uninstall.sh
This will:
- Stop the service
- Remove LaunchAgent plist
- Optionally remove log directory (prompts)
Remove Everything
# Uninstall service and remove logs
./uninstall.sh --remove-logs
# Remove shell integration from ~/.bashrc or ~/.zshrc
# Delete or comment out:
# export HEADROOM_PORT=8787
# source .../shell-integration.sh
Manual Uninstall
# Stop service
launchctl bootout gui/$(id -u)/com.headroom.proxy
# Remove plist
rm ~/Library/LaunchAgents/com.headroom.proxy.plist
# Remove logs (optional)
rm -rf ~/Library/Logs/headroom
Production Deployment
For production environments, consider:
- System-wide LaunchDaemon instead of per-user LaunchAgent
- Resource limits in plist (CPU, memory)
- Log rotation for long-running deployments
- Monitoring via external tools
- Multiple instances on different ports for redundancy
LaunchAgent is designed for single-user development. For production, evaluate:
- Docker deployment for containerized environments
- systemd on Linux servers
- Cloud-native solutions (ECS, Cloud Run, etc.)
Related Documentation
- Proxy Server Documentation - Core proxy configuration and features
- Configuration Guide - Detailed configuration options
- Architecture - How Headroom works internally
- Troubleshooting - General troubleshooting guide
Platform Alternatives
- Linux: Use systemd instead of LaunchAgent
- Windows: Use Task Scheduler or NSSM (Non-Sucking Service Manager)
- Docker: See proxy.md for containerized deployment
Security Considerations
LaunchAgent vs LaunchDaemon
LaunchAgent (used here):
- Runs in user context
- No root privileges required
- Starts on user login
- Per-user isolation
LaunchDaemon (not covered):
- Runs as root or specific user
- System-wide service
- Starts on boot
- Requires admin privileges
For single-user development, LaunchAgent is recommended for security.
API Key Security
Store API keys securely:
- ✅ Use environment variables in shell config
- ✅ Use macOS Keychain (advanced)
- ✅ Restrict plist file permissions:
chmod 600 - ❌ Don't commit API keys to version control
- ❌ Don't store in world-readable files
Network Security
The proxy binds to 127.0.0.1 (localhost only) by default:
- ✅ Only accessible from local machine
- ✅ No external network exposure
- ❌ Don't bind to
0.0.0.0without firewall rules
Advanced Configuration
Multiple Proxy Instances
Run multiple proxies on different ports:
# Install first instance
./install.sh --port 8787
# For second instance, manually create plist with different label
cp com.headroom.proxy.plist.template ~/Library/LaunchAgents/com.headroom.proxy-2.plist
# Edit: Change Label to com.headroom.proxy-2, port to 8788
launchctl bootstrap gui/$(id -u) ~/Library/LaunchAgents/com.headroom.proxy-2.plist
Custom LaunchAgent Schedule
Run proxy only during business hours:
<!-- Add to plist -->
<key>StartCalendarInterval</key>
<dict>
<key>Hour</key>
<integer>9</integer>
<key>Minute</key>
<integer>0</integer>
</dict>
Resource Limits
Limit CPU and memory usage:
<!-- Add to plist -->
<key>HardResourceLimits</key>
<dict>
<key>NumberOfProcesses</key>
<integer>1</integer>
<key>MemoryMax</key>
<integer>536870912</integer> <!-- 512 MB -->
</dict>
Apple GPU (MPS) Embedding Offload
On Apple Silicon, the proxy's memory embedder can run on the Apple GPU (MPS) instead of the default ONNX CPU backend. Offloading embedding to the GPU frees the CPU under load, keeping the proxy responsive — useful on fanless Macs (e.g. the M5 Air) that are prone to CPU-saturation timeouts.
Enable it by installing the extra and setting the env var:
pip install 'headroom-ai[pytorch-mps]' # also works as [pytorch_mps]
export HEADROOM_EMBEDDER_RUNTIME=pytorch_mps
Under a LaunchAgent, set the env var in the plist EnvironmentVariables
section:
<key>HEADROOM_EMBEDDER_RUNTIME</key>
<string>pytorch_mps</string>
It only engages when Apple MPS is actually available (Apple Silicon + torch). If MPS is unavailable or the dependencies are missing, the proxy logs a warning and uses the existing default embedder selection path. This is strictly opt-in; default behavior is unchanged. See Memory for details.
FAQ
Q: Why LaunchAgent instead of running headroom proxy manually?
A: LaunchAgent provides automatic startup, crash recovery, and proper lifecycle management. You don't have to remember to start the proxy or keep a terminal window open.
Q: Can I use this in production?
A: LaunchAgent is designed for development. For production, use Docker, systemd, or cloud-native deployment.
Q: How much does the proxy impact performance?
A: Minimal. The proxy adds ~10-50ms latency while reducing token costs by 50-90%. The cost savings far outweigh the latency.
Q: Do I need to restart the proxy when configuration changes?
A: Yes. After changing the plist, reload the service:
launchctl kickstart -k gui/$(id -u)/com.headroom.proxy
Q: Can I use this with multiple API providers?
A: The LaunchAgent setup is Anthropic-specific. For other providers, see proxy.md for configuration options.
Q: Does this work with Apple Silicon (M1/M2/M3)?
A: Yes, fully compatible. ML compression (Kompress, opt-in via headroom-ai[ml]) auto-detects MPS on Apple Silicon.