Ruby langchainrb gem and custom configuration for the model setup_Erlang

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：

class: langchain::llm::openai — documentation for langchainrb (0.13.4)

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"
    }
  )