bd0aa12004
## New Skill: transcript-fixer v1.0.0 Correct speech-to-text (ASR/STT) transcription errors through dictionary-based rules and AI-powered corrections with automatic pattern learning. **Features:** - Two-stage correction pipeline (dictionary + AI) - Automatic pattern detection and learning - Domain-specific dictionaries (general, embodied_ai, finance, medical) - SQLite-based correction repository - Team collaboration with import/export - GLM API integration for AI corrections - Cost optimization through dictionary promotion **Use cases:** - Correcting meeting notes, lecture recordings, or interview transcripts - Fixing Chinese/English homophone errors and technical terminology - Building domain-specific correction dictionaries - Improving transcript accuracy through iterative learning **Documentation:** - Complete workflow guides in references/ - SQL query templates - Troubleshooting guide - Team collaboration patterns - API setup instructions **Marketplace updates:** - Updated marketplace to v1.8.0 - Added transcript-fixer plugin (category: productivity) - Updated README.md with skill description and use cases - Updated CLAUDE.md with skill listing and counts 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
117 lines
2.5 KiB
Markdown
117 lines
2.5 KiB
Markdown
# GLM API 配置指南
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## API配置
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### 设置环境变量
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在运行脚本前,设置GLM API密钥环境变量:
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```bash
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# Linux/macOS
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export GLM_API_KEY="your-api-key-here"
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# Windows (PowerShell)
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$env:GLM_API_KEY="your-api-key-here"
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# Windows (CMD)
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set GLM_API_KEY=your-api-key-here
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```
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**永久设置** (推荐):
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```bash
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# Linux/macOS: 添加到 ~/.bashrc 或 ~/.zshrc
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echo 'export GLM_API_KEY="your-api-key-here"' >> ~/.bashrc
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source ~/.bashrc
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# Windows: 在系统环境变量中设置
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```
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### 脚本配置
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脚本会自动从环境变量读取API密钥:
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```python
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# 脚本会检查环境变量
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if "GLM_API_KEY" not in os.environ:
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raise ValueError("请设置 GLM_API_KEY 环境变量")
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os.environ["ANTHROPIC_BASE_URL"] = "https://open.bigmodel.cn/api/anthropic"
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os.environ["ANTHROPIC_API_KEY"] = os.environ["GLM_API_KEY"]
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# 模型配置
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GLM_MODEL = "GLM-4.6" # 主力模型
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GLM_MODEL_FAST = "GLM-4.5-Air" # 快速模型(备用)
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```
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## 支持的模型
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| 模型名称 | 说明 | 用途 |
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|---------|------|------|
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| GLM-4.6 | 最强模型 | 默认使用,精度最高 |
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| GLM-4.5-Air | 快速模型 | 备用,速度更快 |
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**注意**: 模型名称大小写不敏感。
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## API认证
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智谱GLM使用Anthropic兼容API:
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```python
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headers = {
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"anthropic-version": "2023-06-01",
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"Authorization": f"Bearer {api_key}",
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"content-type": "application/json"
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}
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```
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**关键点:**
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- 使用 `Authorization: Bearer` 头
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- 不要使用 `x-api-key` 头
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## API调用示例
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```python
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def call_glm_api(prompt: str) -> str:
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url = "https://open.bigmodel.cn/api/anthropic/v1/messages"
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headers = {
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"anthropic-version": "2023-06-01",
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"Authorization": f"Bearer {os.environ.get('ANTHROPIC_API_KEY')}",
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"content-type": "application/json"
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}
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data = {
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"model": "GLM-4.6",
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"max_tokens": 8000,
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"temperature": 0.3,
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"messages": [{"role": "user", "content": prompt}]
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}
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response = httpx.post(url, headers=headers, json=data, timeout=60.0)
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return response.json()["content"][0]["text"]
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```
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## 获取API密钥
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1. 访问 https://open.bigmodel.cn/
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2. 注册/登录账号
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3. 进入API管理页面
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4. 创建新的API密钥
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5. 复制密钥到配置中
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## 费用
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参考智谱AI官方定价:
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- GLM-4.6: 按token计费
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- GLM-4.5-Air: 更便宜的选择
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## 故障排查
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### 401错误
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- 检查API密钥是否正确
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- 确认使用 `Authorization: Bearer` 头
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### 超时错误
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- 增加timeout参数
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- 考虑使用GLM-4.5-Air快速模型
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