疑问:parse_web_text 配置
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Description
Issue Description / 问题描述
Please provide a detailed description of the error or issue you encountered. / 请详细描述您遇到的错误或问题。
- 疑问:parse_web_text.yml 中为什么要单独指定gpt-3.5-turbo-16k模型来着?如果我用其他模型但是没有配置gpt-3.5-turbo-16k的apikey,就会报错!!!
Steps to Reproduce / 复现步骤
Please provide the specific steps to reproduce the error. / 请提供复现错误的具体步骤。
- 在config.yml中新增一个模型,如gpt-3.5-turbo, 不配置gpt-3.5-turbo-16k的apikey, 发起任务是指定model 为gpt-3.5-turbo,后续执行parse_web_text 任务时候就报apikey错误,因为parse_web_text.yml 默认指定了配置。
Expected Behavior / 预期行为
Describe the behavior you expected to see. / 请描述您期望的正确行为。
Environment / 环境信息
- Operating System / 操作系统:
- Python Version / Python 版本:
- Other Relevant Information / 其他相关信息:
Error Screenshots or Logs / 错误截图或日志
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Additional Notes / 其他备注
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Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by comparing config.yml with parse_web_text.yml and reproduce the task using gpt-3.5-turbo without a gpt-3.5-turbo-16k API key. Trace how the selected model is carried into the parse_web_text task; done means using another configured model no longer requires credentials for the separately specified model.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, yaml
- Domain
- ai, backend
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100