115 lines
4.7 KiB
YAML
115 lines
4.7 KiB
YAML
|
||
## More details about the configuration file can be found in: https://github.com/allwefantasy/auto-coder/tree/master/docs/en
|
||
## 关于配置文件的更多细节可以在这里找到: https://gitcode.com/allwefantasy11/auto-coder/tree/master/docs/zh
|
||
|
||
## Location of your project
|
||
## 你项目的路径
|
||
source_dir: /Users/dengwendi/Documents/project/template/ruoyi-ui
|
||
|
||
## The target file to store the prompt/generated code or other information
|
||
target_file: /Users/dengwendi/Documents/project/template/ruoyi-ui/output.txt
|
||
|
||
## The urls of some documents which can help the model to understand your current work
|
||
## 一些文档的URL，可以帮助模型了解你当前的工作
|
||
## Multiple documents can be separated by comma
|
||
## 多个文档可以用逗号分隔
|
||
# urls: <SOME DOCUMENTATION URLs>
|
||
|
||
## The type of your project. py,ts or you can use the suffix e.g. .java .scala .go
|
||
## If you use the suffix, you can combind multiple types with comma e.g. .java,.scala
|
||
## 你项目的类型，py,ts或者你可以使用后缀，例如.java .scala .go
|
||
## 如果你使用后缀，你可以使用逗号来组合多个类型，例如.java,.scala
|
||
project_type: py
|
||
|
||
## The model you want to drive AutoCoder to run
|
||
model: gpt3_5_chat
|
||
|
||
|
||
## Enable the index building which can help you find the related files by your query
|
||
## 启用索引构建，可以帮助您通过查询找到相关文件
|
||
skip_build_index: false
|
||
## The model to build index for the project (Optional)
|
||
## 用于为项目构建索引的模型（可选）
|
||
index_model: haiku_chat
|
||
|
||
## the filter level to find the related files
|
||
## 0: only find the files with the file name
|
||
## 1: find the files with the file name and the symbols in the file
|
||
## 2. find the related files reffered by the files in 0 and 1
|
||
## 0 is recommended for the first time
|
||
## 用于查找相关文件的过滤级别
|
||
## 0: 仅查找文件名
|
||
## 1: 查找文件名和文件中的符号
|
||
## 2. 查找0和1中的文件引用的相关文件
|
||
## 第一次建议使用0
|
||
index_filter_level: 0
|
||
index_model_max_input_length: 30000
|
||
|
||
## The number of workers to filter the files
|
||
## 过滤文件的线程数量
|
||
## If you have a large project, you can increase this number
|
||
## 如果您有一个大项目，可以增加这个数字
|
||
## Make sure you you have the proper workers when you use `byzerllm` to deploy model.
|
||
## 当您使用 `byzerllm` 部署模型时，请确保你也配置了合适的 num_workers 参数。
|
||
index_filter_workers: 1
|
||
|
||
## The number of workers to build the index
|
||
## 构建索引的线程数量
|
||
## If you have a large project, you can increase this number
|
||
## 如果您有一个大项目，可以增加这个数字
|
||
## Make sure you you have the proper workers when you use `byzerllm` to deploy model.
|
||
## 当您使用 `byzerllm` 部署模型时，请确保你也配置了合适的 num_workers 参数。
|
||
index_build_workers: 1
|
||
|
||
## enable RAG context
|
||
## 启用RAG上下文
|
||
enable_rag_context: false
|
||
## or you can give a query directly and enable the RAG at the same time
|
||
## 或者您可以直接给出一个查询，并同时启用RAG
|
||
# enable_rag_context_query: YOUR QUERY TO GET SOME CONTEXT BY RAG
|
||
|
||
## enable Search Engine
|
||
## 启用搜索引擎
|
||
## google/bing
|
||
# search_engine: bing
|
||
## Get the search engine token in the environment variable
|
||
## 在环境变量中获取搜索引擎令牌
|
||
## Ask for Bing Search API Token. You can visit https://www.microsoft.com/en-us/bing/apis/bing-web-search-api to get the token.
|
||
## 申请 Bing 搜索API Token。你可以访问 https://www.microsoft.com/en-us/bing/apis/bing-web-search-api 获取 token。
|
||
# search_engine_token: ENV
|
||
|
||
|
||
## The model to build index for the project
|
||
## 用于为项目构建索引的模型
|
||
# emb_model: gpt_emb
|
||
|
||
## The model will generate the code for you
|
||
## 模型将为您生成代码
|
||
execute: true
|
||
|
||
## If you want to generate multiple files, you can enable this option to generate the code in multiple rounds
|
||
## to avoid exceeding the maximum token limit of the model
|
||
## 如果您想生成多个文件，可以启用此选项，以便在多个回合中生成代码
|
||
## 以避免超过模型的最大令牌限制
|
||
enable_multi_round_generate: false
|
||
|
||
## AutoCoder will merge the generated code into your project
|
||
## AutoCoder将合并生成的代码到您的项目中
|
||
auto_merge: true
|
||
|
||
## AutoCoder will ask you to deliver the content to the Web Model,
|
||
## then paste the answer back to the terminal
|
||
## AutoCoder将要求您将内容传递给Web模型，然后将答案粘贴回终端
|
||
human_as_model: true
|
||
|
||
## What you want the model to do
|
||
## 你想让模型做什么
|
||
query: |
|
||
YOUR QUERY HERE
|
||
|
||
|
||
## You can execute this file with the following command
|
||
## And check the output in the target file
|
||
## 您可以使用以下命令执行此文件
|
||
## 并在目标文件中检查输出
|
||
## auto-coder --file 101_current_work.yml |