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Add Gemini CLI integration skill
Implement gemini skill following codex pattern with Python wrapper supporting multiple execution modes (uv run, python3, direct), configurable models (gemini-2.5-pro/flash/1.5-pro), timeout control, and zero-dependency cross-platform compatibility. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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skills/gemini/SKILL.md
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132
skills/gemini/SKILL.md
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---
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name: gemini
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description: Execute Gemini CLI for AI-powered code analysis and generation. Use when you need to leverage Google's Gemini models for complex reasoning tasks.
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---
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# Gemini CLI Integration
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## Overview
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Execute Gemini CLI commands with support for multiple models and flexible prompt input. Integrates Google's Gemini AI models into Claude Code workflows.
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## When to Use
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- Complex reasoning tasks requiring advanced AI capabilities
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- Code generation and analysis with Gemini models
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- Tasks requiring Google's latest AI technology
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- Alternative perspective on code problems
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## Usage
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**推荐方式**(使用 uv run,自动管理 Python 环境):
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```bash
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uv run ~/.claude/skills/gemini/scripts/gemini.py -m <model> -p "<prompt>" [working_dir]
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```
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**备选方式**(直接执行或使用 Python):
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```bash
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~/.claude/skills/gemini/scripts/gemini.py -m <model> -p "<prompt>" [working_dir]
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# 或
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python3 ~/.claude/skills/gemini/scripts/gemini.py -m <model> -p "<prompt>" [working_dir]
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```
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## Timeout Control
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- **Built-in**: Script enforces 2-hour timeout by default
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- **Override**: Set `GEMINI_TIMEOUT` environment variable (in milliseconds)
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- **Bash tool**: Always set `timeout: 7200000` parameter for double protection
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### Parameters
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- `-m, --model` (optional): Model to use (default: gemini-2.5-pro)
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- `gemini-2.5-pro`: Latest flagship model
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- `gemini-2.5-flash`: Fast, efficient model
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- `gemini-1.5-pro`: Previous generation
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- `-p, --prompt` (required): Task prompt or question
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- `working_dir` (optional): Working directory (default: current)
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### Return Format
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Plain text output from Gemini:
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```text
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Model response text here...
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```
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Error format (stderr):
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```text
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ERROR: Error message
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```
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### Invocation Pattern
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When calling via Bash tool, always include the timeout parameter:
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```yaml
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Bash tool parameters:
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- command: uv run ~/.claude/skills/gemini/scripts/gemini.py -m gemini-2.5-pro -p "<prompt>"
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- timeout: 7200000
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- description: <brief description of the task>
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```
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Alternatives:
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```yaml
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# Direct execution (simplest)
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- command: ~/.claude/skills/gemini/scripts/gemini.py -m gemini-2.5-pro -p "<prompt>"
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# Using python3
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- command: python3 ~/.claude/skills/gemini/scripts/gemini.py -m gemini-2.5-pro -p "<prompt>"
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```
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### Examples
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**Basic query:**
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```bash
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# Recommended: via uv run
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uv run ~/.claude/skills/gemini/scripts/gemini.py -m gemini-2.5-pro -p "explain quantum computing"
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# timeout: 7200000
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# Alternative: direct execution
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~/.claude/skills/gemini/scripts/gemini.py -m gemini-2.5-pro -p "explain quantum computing"
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```
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**Code analysis:**
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```bash
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uv run ~/.claude/skills/gemini/scripts/gemini.py -m gemini-2.5-flash -p "review this code for security issues: $(cat app.py)"
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# timeout: 7200000
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```
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**With specific working directory:**
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```bash
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uv run ~/.claude/skills/gemini/scripts/gemini.py -m gemini-2.5-pro -p "analyze project structure" "/path/to/project"
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# timeout: 7200000
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```
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**Using fast model:**
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```bash
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uv run ~/.claude/skills/gemini/scripts/gemini.py -m gemini-2.5-flash -p "quick code suggestion"
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# timeout: 7200000
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```
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**Using python3 directly (alternative):**
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```bash
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python3 ~/.claude/skills/gemini/scripts/gemini.py -m gemini-2.5-pro -p "your prompt here"
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```
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## Notes
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- **Recommended**: Use `uv run` for automatic Python environment management (requires uv installed)
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- **Alternative**: Direct execution `./gemini.py` (uses system Python via shebang)
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- Python implementation using standard library (zero dependencies)
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- Cross-platform compatible (Windows/macOS/Linux)
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- PEP 723 compliant (inline script metadata)
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- Requires Gemini CLI installed and authenticated
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- Supports all Gemini model variants
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- Output is streamed directly from Gemini CLI
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160
skills/gemini/scripts/gemini.py
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160
skills/gemini/scripts/gemini.py
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#!/usr/bin/env python3
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# /// script
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# requires-python = ">=3.8"
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# dependencies = []
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# ///
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"""
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Gemini CLI wrapper with cross-platform support.
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Usage:
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uv run gemini.py -m <model> -p "<prompt>" [workdir]
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python3 gemini.py -m <model> -p "<prompt>"
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./gemini.py -m gemini-2.5-pro -p "your prompt"
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"""
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import subprocess
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import sys
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import os
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import argparse
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DEFAULT_MODEL = 'gemini-2.5-pro'
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DEFAULT_WORKDIR = '.'
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DEFAULT_TIMEOUT = 7200 # 2 hours in seconds
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FORCE_KILL_DELAY = 5
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def log_error(message: str):
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"""输出错误信息到 stderr"""
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sys.stderr.write(f"ERROR: {message}\n")
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def log_warn(message: str):
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"""输出警告信息到 stderr"""
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sys.stderr.write(f"WARN: {message}\n")
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def resolve_timeout() -> int:
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"""解析超时配置(秒)"""
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raw = os.environ.get('GEMINI_TIMEOUT', '')
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if not raw:
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return DEFAULT_TIMEOUT
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try:
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parsed = int(raw)
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if parsed <= 0:
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log_warn(f"Invalid GEMINI_TIMEOUT '{raw}', falling back to {DEFAULT_TIMEOUT}s")
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return DEFAULT_TIMEOUT
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# 环境变量是毫秒,转换为秒
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return parsed // 1000 if parsed > 10000 else parsed
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except ValueError:
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log_warn(f"Invalid GEMINI_TIMEOUT '{raw}', falling back to {DEFAULT_TIMEOUT}s")
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return DEFAULT_TIMEOUT
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def parse_args():
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"""解析命令行参数"""
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parser = argparse.ArgumentParser(
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description='Gemini CLI wrapper for Claude Code integration',
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formatter_class=argparse.RawDescriptionHelpFormatter
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)
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parser.add_argument(
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'-m', '--model',
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default=DEFAULT_MODEL,
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help=f'Gemini model to use (default: {DEFAULT_MODEL})'
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)
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parser.add_argument(
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'-p', '--prompt',
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required=True,
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help='Prompt to send to Gemini'
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)
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parser.add_argument(
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'workdir',
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nargs='?',
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default=DEFAULT_WORKDIR,
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help='Working directory (default: current directory)'
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)
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return parser.parse_args()
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def build_gemini_args(args) -> list:
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"""构建 gemini CLI 参数"""
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return [
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'gemini',
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'-m', args.model,
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'-p', args.prompt
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]
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def main():
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args = parse_args()
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gemini_args = build_gemini_args(args)
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timeout_sec = resolve_timeout()
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# 如果指定了工作目录,切换到该目录
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if args.workdir != DEFAULT_WORKDIR:
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try:
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os.chdir(args.workdir)
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except FileNotFoundError:
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log_error(f"Working directory not found: {args.workdir}")
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sys.exit(1)
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except PermissionError:
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log_error(f"Permission denied: {args.workdir}")
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sys.exit(1)
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try:
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# 启动 gemini 子进程,直接透传 stdout 和 stderr
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process = subprocess.Popen(
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gemini_args,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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text=True,
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bufsize=1 # 行缓冲
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)
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# 实时输出 stdout
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stdout_lines = []
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for line in process.stdout:
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sys.stdout.write(line)
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sys.stdout.flush()
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stdout_lines.append(line)
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# 等待进程结束
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returncode = process.wait(timeout=timeout_sec)
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# 读取 stderr
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stderr_output = process.stderr.read()
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if stderr_output:
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sys.stderr.write(stderr_output)
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# 检查退出码
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if returncode != 0:
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log_error(f'Gemini exited with status {returncode}')
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sys.exit(returncode)
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sys.exit(0)
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except subprocess.TimeoutExpired:
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log_error(f'Gemini execution timeout ({timeout_sec}s)')
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process.kill()
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try:
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process.wait(timeout=FORCE_KILL_DELAY)
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except subprocess.TimeoutExpired:
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pass
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sys.exit(124)
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except FileNotFoundError:
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log_error("gemini command not found in PATH")
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log_error("Please install Gemini CLI: https://github.com/google/generative-ai-python")
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sys.exit(127)
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except KeyboardInterrupt:
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process.terminate()
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try:
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process.wait(timeout=FORCE_KILL_DELAY)
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except subprocess.TimeoutExpired:
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process.kill()
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sys.exit(130)
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if __name__ == '__main__':
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main()
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