# Headless Mode

Headless mode allows you to run Qwen Code programmatically from command line
scripts and automation tools without any interactive UI. This is ideal for
scripting, automation, CI/CD pipelines, and building AI-powered tools.

- [Headless Mode](#headless-mode)
  - [Overview](#overview)
  - [Basic Usage](#basic-usage)
    - [Direct Prompts](#direct-prompts)
    - [Stdin Input](#stdin-input)
    - [Combining with File Input](#combining-with-file-input)
  - [Output Formats](#output-formats)
    - [Text Output (Default)](#text-output-default)
    - [JSON Output](#json-output)
      - [Response Schema](#response-schema)
      - [Example Usage](#example-usage)
    - [File Redirection](#file-redirection)
  - [Configuration Options](#configuration-options)
  - [Examples](#examples)
    - [Code review](#code-review)
    - [Generate commit messages](#generate-commit-messages)
    - [API documentation](#api-documentation)
    - [Batch code analysis](#batch-code-analysis)
    - [Code review](#code-review-1)
    - [Log analysis](#log-analysis)
    - [Release notes generation](#release-notes-generation)
    - [Model and tool usage tracking](#model-and-tool-usage-tracking)
  - [Resources](#resources)

## Overview

The headless mode provides a headless interface to Qwen Code that:

- Accepts prompts via command line arguments or stdin
- Returns structured output (text or JSON)
- Supports file redirection and piping
- Enables automation and scripting workflows
- Provides consistent exit codes for error handling

## Basic Usage

### Direct Prompts

Use the `--prompt` (or `-p`) flag to run in headless mode:

```bash
qwen --prompt "What is machine learning?"
```

### Stdin Input

Pipe input to Qwen Code from your terminal:

```bash
echo "Explain this code" | qwen
```

### Combining with File Input

Read from files and process with Qwen Code:

```bash
cat README.md | qwen --prompt "Summarize this documentation"
```

## Output Formats

### Text Output (Default)

Standard human-readable output:

```bash
qwen -p "What is the capital of France?"
```

Response format:

```
The capital of France is Paris.
```

### JSON Output

Returns structured data including response, statistics, and metadata. This
format is ideal for programmatic processing and automation scripts.

#### Response Schema

The JSON output follows this high-level structure:

```json
{
  "response": "string", // The main AI-generated content answering your prompt
  "stats": {
    // Usage metrics and performance data
    "models": {
      // Per-model API and token usage statistics
      "[model-name]": {
        "api": {
          /* request counts, errors, latency */
        },
        "tokens": {
          /* prompt, response, cached, total counts */
        }
      }
    },
    "tools": {
      // Tool execution statistics
      "totalCalls": "number",
      "totalSuccess": "number",
      "totalFail": "number",
      "totalDurationMs": "number",
      "totalDecisions": {
        /* accept, reject, modify, auto_accept counts */
      },
      "byName": {
        /* per-tool detailed stats */
      }
    },
    "files": {
      // File modification statistics
      "totalLinesAdded": "number",
      "totalLinesRemoved": "number"
    }
  },
  "error": {
    // Present only when an error occurred
    "type": "string", // Error type (e.g., "ApiError", "AuthError")
    "message": "string", // Human-readable error description
    "code": "number" // Optional error code
  }
}
```

#### Example Usage

```bash
qwen -p "What is the capital of France?" --output-format json
```

Response:

```json
{
  "response": "The capital of France is Paris.",
  "stats": {
    "models": {
      "qwen3-coder-plus": {
        "api": {
          "totalRequests": 2,
          "totalErrors": 0,
          "totalLatencyMs": 5053
        },
        "tokens": {
          "prompt": 24939,
          "candidates": 20,
          "total": 25113,
          "cached": 21263,
          "thoughts": 154,
          "tool": 0
        }
      }
    },
    "tools": {
      "totalCalls": 1,
      "totalSuccess": 1,
      "totalFail": 0,
      "totalDurationMs": 1881,
      "totalDecisions": {
        "accept": 0,
        "reject": 0,
        "modify": 0,
        "auto_accept": 1
      },
      "byName": {
        "google_web_search": {
          "count": 1,
          "success": 1,
          "fail": 0,
          "durationMs": 1881,
          "decisions": {
            "accept": 0,
            "reject": 0,
            "modify": 0,
            "auto_accept": 1
          }
        }
      }
    },
    "files": {
      "totalLinesAdded": 0,
      "totalLinesRemoved": 0
    }
  }
}
```

### File Redirection

Save output to files or pipe to other commands:

```bash
# Save to file
qwen -p "Explain Docker" > docker-explanation.txt
qwen -p "Explain Docker" --output-format json > docker-explanation.json

# Append to file
qwen -p "Add more details" >> docker-explanation.txt

# Pipe to other tools
qwen -p "What is Kubernetes?" --output-format json | jq '.response'
qwen -p "Explain microservices" | wc -w
qwen -p "List programming languages" | grep -i "python"
```

## Configuration Options

Key command-line options for headless usage:

| Option                  | Description                        | Example                                          |
| ----------------------- | ---------------------------------- | ------------------------------------------------ |
| `--prompt`, `-p`        | Run in headless mode               | `qwen -p "query"`                                |
| `--output-format`       | Specify output format (text, json) | `qwen -p "query" --output-format json`           |
| `--model`, `-m`         | Specify the Qwen model             | `qwen -p "query" -m qwen3-coder-plus`            |
| `--debug`, `-d`         | Enable debug mode                  | `qwen -p "query" --debug`                        |
| `--all-files`, `-a`     | Include all files in context       | `qwen -p "query" --all-files`                    |
| `--include-directories` | Include additional directories     | `qwen -p "query" --include-directories src,docs` |
| `--yolo`, `-y`          | Auto-approve all actions           | `qwen -p "query" --yolo`                         |
| `--approval-mode`       | Set approval mode                  | `qwen -p "query" --approval-mode auto_edit`      |

For complete details on all available configuration options, settings files, and environment variables, see the [Configuration Guide](./cli/configuration.md).

## Examples

#### Code review

```bash
cat src/auth.py | qwen -p "Review this authentication code for security issues" > security-review.txt
```

#### Generate commit messages

```bash
result=$(git diff --cached | qwen -p "Write a concise commit message for these changes" --output-format json)
echo "$result" | jq -r '.response'
```

#### API documentation

```bash
result=$(cat api/routes.js | qwen -p "Generate OpenAPI spec for these routes" --output-format json)
echo "$result" | jq -r '.response' > openapi.json
```

#### Batch code analysis

```bash
for file in src/*.py; do
    echo "Analyzing $file..."
    result=$(cat "$file" | qwen -p "Find potential bugs and suggest improvements" --output-format json)
    echo "$result" | jq -r '.response' > "reports/$(basename "$file").analysis"
    echo "Completed analysis for $(basename "$file")" >> reports/progress.log
done
```

#### Code review

```bash
result=$(git diff origin/main...HEAD | qwen -p "Review these changes for bugs, security issues, and code quality" --output-format json)
echo "$result" | jq -r '.response' > pr-review.json
```

#### Log analysis

```bash
grep "ERROR" /var/log/app.log | tail -20 | qwen -p "Analyze these errors and suggest root cause and fixes" > error-analysis.txt
```

#### Release notes generation

```bash
result=$(git log --oneline v1.0.0..HEAD | qwen -p "Generate release notes from these commits" --output-format json)
response=$(echo "$result" | jq -r '.response')
echo "$response"
echo "$response" >> CHANGELOG.md
```

#### Model and tool usage tracking

```bash
result=$(qwen -p "Explain this database schema" --include-directories db --output-format json)
total_tokens=$(echo "$result" | jq -r '.stats.models // {} | to_entries | map(.value.tokens.total) | add // 0')
models_used=$(echo "$result" | jq -r '.stats.models // {} | keys | join(", ") | if . == "" then "none" else . end')
tool_calls=$(echo "$result" | jq -r '.stats.tools.totalCalls // 0')
tools_used=$(echo "$result" | jq -r '.stats.tools.byName // {} | keys | join(", ") | if . == "" then "none" else . end')
echo "$(date): $total_tokens tokens, $tool_calls tool calls ($tools_used) used with models: $models_used" >> usage.log
echo "$result" | jq -r '.response' > schema-docs.md
echo "Recent usage trends:"
tail -5 usage.log
```

## Resources

- [CLI Configuration](./cli/configuration.md) - Complete configuration guide
- [Authentication](./cli/authentication.md) - Setup authentication
- [Commands](./cli/commands.md) - Interactive commands reference
- [Tutorials](./cli/tutorials.md) - Step-by-step automation guides