homogenizing interfaces

README.md

@@ -24,15 +24,15 @@ Here is a quick example to get you started:
 require 'mistral_rb'
 
 # Initialize the API with your API key
-mistral = MistralAPI.new("your_api_key_here")
+mistral = MistralAPI.new(api_key: "your_api_key_here")
 
 # Create Chat Completion
-response = mistral.create_chat_completion("mistral-tiny", [{role: "user", content: "Who is Macron?"}])
+response = mistral.create_chat_completion(model: "mistral-tiny", messages: [{role: "user", content: "Who is Macron?"}])
 puts response.choices.to_s
 
 # Create Embeddings
-embedding_response = mistral.create_embeddings("mistral-embed", ["Hello", "world"])
-puts embedding_response.data.first.embedding
+embedding_response = mistral.create_embeddings(model: "mistral-embed", input: ["Hello", "world"])
+puts embedding_response.data.first.inspect
 
 # List Available Models
 model_list_response = mistral.list_available_models

lib/mistral_rb.rb

@@ -8,7 +8,7 @@
 class MistralAPI
   include HTTParty
 
-  def initialize(api_key, base_uri = "https://api.mistral.ai/v1")
+  def initialize(api_key:, base_uri: "https://api.mistral.ai/v1")
     @headers = {
       "Authorization" => "Bearer #{api_key}",
       "Content-Type" => "application/json"
@@ -42,7 +42,7 @@ def create_chat_completion(model:, messages:, temperature: 0.7, top_p: 1, max_to
     end
   end
 
-  def create_embeddings(model, input, encoding_format = "float")
+  def create_embeddings(model:, input:, encoding_format: "float")
     body = {
       model: model,
       input: input,