我要评论题意：ruby 的 langchainrb gem 以及针对模型设置的自定义配置
问题背景：
i am working in a prototype using the gem langchainrb. i am using the module assistant module to implemente a basic rag architecture.
我正在使用 langchainrb 这个 gem 来开发一个原型。我利用其中的 assistant 模块来实现一个基本的 rag（retrieval-augmented generation，检索增强生成）架构。
everything works, and now i would like to customize the model configuration.
一切运行正常，现在我想自定义模型的配置。
in the documenation there is no clear way of setting up the model. in my case, i would like to use openai and use:
在文档中，没有明确的方法来设置模型。在我的情况下，我想使用 openai 并使用以下配置：
- temperature: 0.1
- model: gpt-4o
in the readme, there is a mention about using llm_options.
在 readme 文件中，提到了使用 llm_options。
if i go to the openai module documentation:
如果我去查看 openai 模块的文档：
it says i have to check here: 它说我要查看这里：
but there is not any mention of temperature, for example. also, in the example in the langchain::llm::openai documentation, the options are totally different.
但是在文档中并没有提到例如“温度”这样的设置。此外，在 langchain::llm::openai 的文档示例中，给出的选项是完全不同的。
i am working in a prototype using the gem langchainrb. i am using the module assistant module to implemente a basic rag architecture.
everything works, and now i would like to customize the model configuration.
in the documenation there is no clear way of setting up the model. in my case, i would like to use openai and use:
in the readme, there is a mention about using llm_options.
if i go to the openai module documentation:
it says i have to check here:
but there is not any mention of temperature, for example. also, in the example in the langchain::llm::openai documentation, the options are totally different.
# ruby-openai options:
config_keys = %i[
api_type
api_version
access_token
log_errors
organization_id
uri_base
request_timeout
extra_headers
].freeze# example in class: langchain::llm::openai documentation:
{
n: 1,
temperature: 0.0,
chat_completion_model_name: "gpt-3.5-turbo",
embeddings_model_name: "text-embedding-3-small"
}.freeze
问题解决：
i have a conflict between llm_options and default_options. i thought it was the same with different priorities.
我在 llm_options 和 default_options 之间遇到了冲突。我原本以为它们只是优先级不同的相同设置。
for the needs expressed in the question i have to use the default_options as in here:
针对问题中表达的需求，我必须按照这里的示例来使用 default_options：
llm =
langchain::llm::openai.new(
api_key: <openai_key>,
default_options: {
temperature: 0.0,
chat_completion_model_name: "gpt-4o"
}
)
-
- temperature: 0.1
- model: gpt-4o
- langchain.rb version: 0.13.4
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