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feat: add config for embedding model (#12120)
This PR adds the ability to modify the embedding model used by Captain AI.Previously, the embedding model was hardcoded which led to errors when you used a different API provider which did not support that specific embedding model. Co-authored-by: Shivam Mishra <scm.mymail@gmail.com>
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@@ -175,6 +175,10 @@
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display_title: 'OpenAI API Endpoint (optional)'
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description: 'The OpenAI endpoint configured for use in Captain AI. Default: https://api.openai.com/'
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locked: false
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- name: CAPTAIN_EMBEDDING_MODEL
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display_title: 'Embedding Model (optional)'
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description: 'The embedding model configured for use in Captain AI. Default: text-embedding-3-small'
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locked: false
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- name: CAPTAIN_FIRECRAWL_API_KEY
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display_title: 'FireCrawl API Key (optional)'
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description: 'The FireCrawl API key for the Captain AI service'
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@@ -3,9 +3,11 @@ require 'openai'
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class Captain::Llm::EmbeddingService < Llm::BaseOpenAiService
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class EmbeddingsError < StandardError; end
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DEFAULT_MODEL = 'text-embedding-3-small'.freeze
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def self.embedding_model
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@embedding_model = InstallationConfig.find_by(name: 'CAPTAIN_EMBEDDING_MODEL')&.value.presence || OpenAiConstants::DEFAULT_EMBEDDING_MODEL
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end
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def get_embedding(content, model: DEFAULT_MODEL)
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def get_embedding(content, model: self.class.embedding_model)
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response = @client.embeddings(
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parameters: {
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model: model,
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@@ -3,4 +3,5 @@
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module OpenAiConstants
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DEFAULT_MODEL = 'gpt-4.1-mini'
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DEFAULT_ENDPOINT = 'https://api.openai.com'
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DEFAULT_EMBEDDING_MODEL = 'text-embedding-3-small'
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end
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