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Summary of ChangesHello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request primarily focuses on updating the Sirchmunk documentation to reflect the new 0.0.4 version. Key additions include comprehensive guides for Docker deployment and the introduction of a new, faster 'FAST' search mode. The changes ensure that all user-facing documentation, including API references and SDK examples, are current with the latest features and operational details, providing clearer instructions for deployment and usage. Highlights
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Code Review
This pull request updates the documentation for the v0.0.4 release, introducing Docker support and the new FAST/DEEP search modes. The changes are comprehensive across both English and Chinese documents. I've identified a few inconsistencies in the new Docker documentation regarding environment variable names and example values, which could lead to user errors. My suggestions aim to align these new documents with the rest of the project's configuration standards.
| -p 8584:8584 \ | ||
| -e LLM_API_KEY="your-api-key-here" \ | ||
| -e LLM_BASE_URL="https://api.openai.com/v1" \ | ||
| -e LLM_MODEL_NAME="gpt-5.2" \ |
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There are a couple of inconsistencies in this example that could confuse users:
- The environment variable is
LLM_MODEL_NAME, but other documentation files (e.g.,configuration.md) useLLM_MODEL. - The model name
gpt-5.2appears to be a placeholder. Usinggpt-4owould align with other examples in the docs.
Please update for consistency.
| -e LLM_MODEL_NAME="gpt-5.2" \ | |
| -e LLM_MODEL="gpt-4o" \ |
| |---|---|---| | ||
| | `LLM_API_KEY` | Your LLM API key | *required* | | ||
| | `LLM_BASE_URL` | OpenAI-compatible API base URL | `https://api.openai.com/v1` | | ||
| | `LLM_MODEL_NAME` | Model name | `gpt-5.2` | |
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To maintain consistency with other documentation files (configuration.md), this variable should be LLM_MODEL. The default value should also be updated from the placeholder gpt-5.2 to gpt-4o for consistency.
| | `LLM_MODEL_NAME` | Model name | `gpt-5.2` | | |
| | `LLM_MODEL` | Model name | `gpt-4o` | |
| -p 8584:8584 \ | ||
| -e LLM_API_KEY="your-api-key-here" \ | ||
| -e LLM_BASE_URL="https://api.openai.com/v1" \ | ||
| -e LLM_MODEL_NAME="gpt-5.2" \ |
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此处的环境变量 LLM_MODEL_NAME 与其他文档（如 configuration.zh.md）中使用的 LLM_MODEL 不一致，这可能会导致用户配置错误。此外，模型名称 gpt-5.2 似乎是一个占位符，与其他文档中使用的 gpt-4o 不一致。建议统一以避免混淆。
| -e LLM_MODEL_NAME="gpt-5.2" \ | |
| -e LLM_MODEL="gpt-4o" \ |
| |---|---|---| | ||
| | `LLM_API_KEY` | LLM API 密钥 | *必填* | | ||
| | `LLM_BASE_URL` | OpenAI 兼容 API 基础 URL | `https://api.openai.com/v1` | | ||
| | `LLM_MODEL_NAME` | 模型名称 | `gpt-5.2` | |
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为与其他文档（如 configuration.zh.md）保持一致，此环境变量应为 LLM_MODEL。默认值也应从占位符 gpt-5.2 更新为 gpt-4o 以保持一致性。
| | `LLM_MODEL_NAME` | 模型名称 | `gpt-5.2` | | |
| | `LLM_MODEL` | 模型名称 | `gpt-4o` | |
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| ```bash | ||
| # Pull the image | ||
| docker pull modelscope-registry.cn-beijing.cr.aliyuncs.com/modelscope-repo/sirchmunk:ubuntu22.04-py312-0.0.4 |
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The docker pull command hardcodes the cn-beijing registry. Since you provide both US and China registries, it would be beneficial to add a comment advising users to choose the one geographically closest to them for better pull speeds. The Chinese version of this document already includes a helpful comment for this.
| docker pull modelscope-registry.cn-beijing.cr.aliyuncs.com/modelscope-repo/sirchmunk:ubuntu22.04-py312-0.0.4 | |
| # Pull the image (choose the registry closest to your location) | |
| docker pull modelscope-registry.cn-beijing.cr.aliyuncs.com/modelscope-repo/sirchmunk:ubuntu22.04-py312-0.0.4 |
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