discourse-ai/db/post_migrate/20240703135444_llm_models_f...

61 lines
1.9 KiB
Ruby

# frozen_string_literal: true
class LlmModelsForSummarization < ActiveRecord::Migration[7.0]
def up
setting_value =
DB
.query_single(
"SELECT value FROM site_settings WHERE name = :llm_setting",
llm_setting: "ai_summarization_strategy",
)
.first
.to_s
return if setting_value.empty?
gpt_models = %w[gpt-4 gpt-4-32k gpt-4-turbo gpt-4o gpt-3.5-turbo gpt-3.5-turbo-16k]
gemini_models = %w[gemini-pro gemini-1.5-pro gemini-1.5-flash]
claude_models = %w[claude-2 claude-instant-1 claude-3-haiku claude-3-sonnet claude-3-opus]
oss_models = %w[mistralai/Mixtral-8x7B-Instruct-v0.1 mistralai/Mixtral-8x7B-Instruct-v0.1]
providers = []
prov_priority = ""
if gpt_models.include?(setting_value)
providers = %w[azure open_ai]
prov_priority = "azure"
elsif gemini_models.include?(setting_value)
providers = %w[google]
prov_priority = "google"
elsif claude_models.include?(setting_value)
providers = %w[aws_bedrock anthropic]
prov_priority = "aws_bedrock"
elsif oss_models.include?(setting_value)
providers = %w[hugging_face vllm]
prov_priority = "vllm"
end
insert_llm_model(setting_value, providers, prov_priority) if providers.present?
end
def insert_llm_model(old_value, providers, priority)
matching_models = DB.query(<<~SQL, model_name: old_value, providers: providers)
SELECT * FROM llm_models WHERE name = :model_name AND provider IN (:providers)
SQL
return if matching_models.empty?
priority_model = matching_models.find { |m| m.provider == priority } || matching_models.first
new_value = "custom:#{priority_model.id}"
DB.exec(<<~SQL, new_value: new_value)
INSERT INTO site_settings(name, data_type, value, created_at, updated_at)
VALUES ('ai_summarization_model', 1, :new_value, NOW(), NOW())
SQL
end
def down
raise ActiveRecord::IrreversibleMigration
end
end