# Status line configuration

> Create a custom status line for Claude Code to display contextual information

Make Claude Code your own with a custom status line that displays at the bottom
of the Claude Code interface, similar to how terminal prompts (PS1) work in
shells like Oh-my-zsh.

## Create a custom status line

You can either:

- Run `/statusline` to ask Claude Code to help you set up a custom status line.
  By default, it will try to reproduce your terminal's prompt, but you can
  provide additional instructions about the behavior you want to Claude Code,
  such as `/statusline show the model name in orange`

- Directly add a `statusLine` command to your `.claude/settings.json`:

```json  theme={null}
{
  "statusLine": {
    "type": "command",
    "command": "~/.claude/statusline.sh",
    "padding": 0 // Optional: set to 0 to let status line go to edge
  }
}
```

## How it Works

- The status line is updated when the conversation messages update
- Updates run at most every 300 ms
- The first line of stdout from your command becomes the status line text
- ANSI color codes are supported for styling your status line
- Claude Code passes contextual information about the current session (model,
  directories, etc.) as JSON to your script via stdin

## JSON Input Structure

Your status line command receives structured data via stdin in JSON format:

```json  theme={null}
{
  "hook_event_name": "Status",
  "session_id": "abc123...",
  "transcript_path": "/path/to/transcript.json",
  "cwd": "/current/working/directory",
  "model": {
    "id": "claude-opus-4-1",
    "display_name": "Opus"
  },
  "workspace": {
    "current_dir": "/current/working/directory",
    "project_dir": "/original/project/directory"
  },
  "version": "1.0.80",
  "output_style": {
    "name": "default"
  },
  "cost": {
    "total_cost_usd": 0.01234,
    "total_duration_ms": 45000,
    "total_api_duration_ms": 2300,
    "total_lines_added": 156,
    "total_lines_removed": 23
  },
  "context_window": {
    "total_input_tokens": 15234,
    "total_output_tokens": 4521,
    "context_window_size": 200000,
    "current_usage": {
      "input_tokens": 8500,
      "output_tokens": 1200,
      "cache_creation_input_tokens": 5000,
      "cache_read_input_tokens": 2000
    }
  }
}
```

## Example Scripts

### Simple Status Line

```bash  theme={null}
#!/bin/bash
# Read JSON input from stdin
input=$(cat)

# Extract values using jq
MODEL_DISPLAY=$(echo "$input" | jq -r '.model.display_name')
CURRENT_DIR=$(echo "$input" | jq -r '.workspace.current_dir')

echo "[$MODEL_DISPLAY] 📁 ${CURRENT_DIR##*/}"
```

### Git-Aware Status Line

```bash  theme={null}
#!/bin/bash
# Read JSON input from stdin
input=$(cat)

# Extract values using jq
MODEL_DISPLAY=$(echo "$input" | jq -r '.model.display_name')
CURRENT_DIR=$(echo "$input" | jq -r '.workspace.current_dir')

# Show git branch if in a git repo
GIT_BRANCH=""
if git rev-parse --git-dir > /dev/null 2>&1; then
    BRANCH=$(git branch --show-current 2>/dev/null)
    if [ -n "$BRANCH" ]; then
        GIT_BRANCH=" | 🌿 $BRANCH"
    fi
fi

echo "[$MODEL_DISPLAY] 📁 ${CURRENT_DIR##*/}$GIT_BRANCH"
```

### Python Example

```python  theme={null}
#!/usr/bin/env python3
import json
import sys
import os

# Read JSON from stdin
data = json.load(sys.stdin)

# Extract values
model = data['model']['display_name']
current_dir = os.path.basename(data['workspace']['current_dir'])

# Check for git branch
git_branch = ""
if os.path.exists('.git'):
    try:
        with open('.git/HEAD', 'r') as f:
            ref = f.read().strip()
            if ref.startswith('ref: refs/heads/'):
                git_branch = f" | 🌿 {ref.replace('ref: refs/heads/', '')}"
    except:
        pass

print(f"[{model}] 📁 {current_dir}{git_branch}")
```

### Node.js Example

```javascript  theme={null}
#!/usr/bin/env node

const fs = require("fs");
const path = require("path");

// Read JSON from stdin
let input = "";
process.stdin.on("data", (chunk) => input += chunk);
process.stdin.on("end", () => {
  const data = JSON.parse(input);

  // Extract values
  const model = data.model.display_name;
  const currentDir = path.basename(data.workspace.current_dir);

  // Check for git branch
  let gitBranch = "";
  try {
    const headContent = fs.readFileSync(".git/HEAD", "utf8").trim();
    if (headContent.startsWith("ref: refs/heads/")) {
      gitBranch = ` | 🌿 ${headContent.replace("ref: refs/heads/", "")}`;
    }
  } catch (e) {
    // Not a git repo or can't read HEAD
  }

  console.log(`[${model}] 📁 ${currentDir}${gitBranch}`);
});
```

### Helper Function Approach

For more complex bash scripts, you can create helper functions:

```bash  theme={null}
#!/bin/bash
# Read JSON input once
input=$(cat)

# Helper functions for common extractions
get_model_name() { echo "$input" | jq -r '.model.display_name'; }
get_current_dir() { echo "$input" | jq -r '.workspace.current_dir'; }
get_project_dir() { echo "$input" | jq -r '.workspace.project_dir'; }
get_version() { echo "$input" | jq -r '.version'; }
get_cost() { echo "$input" | jq -r '.cost.total_cost_usd'; }
get_duration() { echo "$input" | jq -r '.cost.total_duration_ms'; }
get_lines_added() { echo "$input" | jq -r '.cost.total_lines_added'; }
get_lines_removed() { echo "$input" | jq -r '.cost.total_lines_removed'; }
get_input_tokens() { echo "$input" | jq -r '.context_window.total_input_tokens'; }
get_output_tokens() { echo "$input" | jq -r '.context_window.total_output_tokens'; }
get_context_window_size() { echo "$input" | jq -r '.context_window.context_window_size'; }

# Use the helpers
MODEL=$(get_model_name)
DIR=$(get_current_dir)
echo "[$MODEL] 📁 ${DIR##*/}"
```

### Context Window Usage

Display the percentage of context window consumed. The `context_window` object
contains:

- `total_input_tokens` / `total_output_tokens`: Cumulative totals across the
  entire session
- `current_usage`: Current context window usage from the last API call (may be
  `null` if no messages yet)
  - `input_tokens`: Input tokens in current context
  - `output_tokens`: Output tokens generated
  - `cache_creation_input_tokens`: Tokens written to cache
  - `cache_read_input_tokens`: Tokens read from cache

For accurate context percentage, use `current_usage` which reflects the actual
context window state:

```bash  theme={null}
#!/bin/bash
input=$(cat)

MODEL=$(echo "$input" | jq -r '.model.display_name')
CONTEXT_SIZE=$(echo "$input" | jq -r '.context_window.context_window_size')
USAGE=$(echo "$input" | jq '.context_window.current_usage')

if [ "$USAGE" != "null" ]; then
    # Calculate current context from current_usage fields
    CURRENT_TOKENS=$(echo "$USAGE" | jq '.input_tokens + .cache_creation_input_tokens + .cache_read_input_tokens')
    PERCENT_USED=$((CURRENT_TOKENS * 100 / CONTEXT_SIZE))
    echo "[$MODEL] Context: ${PERCENT_USED}%"
else
    echo "[$MODEL] Context: 0%"
fi
```

## Tips

- Keep your status line concise - it should fit on one line
- Use emojis (if your terminal supports them) and colors to make information
  scannable
- Use `jq` for JSON parsing in Bash (see examples above)
- Test your script by running it manually with mock JSON input:
  `echo '{"model":{"display_name":"Test"},"workspace":{"current_dir":"/test"}}' | ./statusline.sh`
- Consider caching expensive operations (like git status) if needed

## Troubleshooting

- If your status line doesn't appear, check that your script is executable
  (`chmod +x`)
- Ensure your script outputs to stdout (not stderr)

---

> To find navigation and other pages in this documentation, fetch the llms.txt
> file at: https://code.claude.com/docs/llms.txt