Class: Llmemory::LongTerm::FileBased::Memory

Inherits:
Object
  • Object
show all
Defined in:
lib/llmemory/long_term/file_based/memory.rb

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(user_id:, storage: nil, llm: nil, extractor: nil) ⇒ Memory

Returns a new instance of Memory.



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# File 'lib/llmemory/long_term/file_based/memory.rb', line 13

def initialize(user_id:, storage: nil, llm: nil, extractor: nil)
  @user_id = user_id
  @storage = storage || Storages.build
  @llm = llm || Llmemory::LLM.client
  @extractor = extractor || Llmemory::Extractors::FactExtractor.new(llm: @llm)
end

Instance Attribute Details

#storage ⇒ Object (readonly)

Returns the value of attribute storage.



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# File 'lib/llmemory/long_term/file_based/memory.rb', line 103

def storage
  @storage
end

#user_id ⇒ Object (readonly)

Returns the value of attribute user_id.



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# File 'lib/llmemory/long_term/file_based/memory.rb', line 103

def user_id
  @user_id
end

Instance Method Details

#memorize(conversation_text) ⇒ Object 



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# File 'lib/llmemory/long_term/file_based/memory.rb', line 20

def memorize(conversation_text)
  text = Llmemory.configuration.noise_filter_enabled ? NoiseFilter.filter?(conversation_text) : conversation_text.to_s
  return true if text.strip.empty?

  resource_id = save_resource(text)
  append_to_daily_log(text) if Llmemory.configuration.daily_logs_enabled && @storage.respond_to?(:save_daily_log_entry)
  items = @extractor.extract_items(text)
  updates_by_category = {}

  items.each do |item|
    content = item.is_a?(Hash) ? (item["content"] || item[:content]) : item.to_s
    importance = (item["importance"] || item[:importance] || 0.7).to_f
    cat = @extractor.classify_item(content)
    updates_by_category[cat] ||= []
    updates_by_category[cat] << content.to_s
    save_item(category: cat, item: item, source_resource_id: resource_id, importance: importance)
  end

  updates_by_category.each do |category, new_memories|
    existing_summary = @storage.load_category(@user_id, category)
    updated_summary = @extractor.evolve_summary(existing: existing_summary, new_memories: new_memories)
    @storage.save_category(@user_id, category, updated_summary)
  end

  true
end

#remember_fact(content:, category: "general", importance: 0.6, provenance: nil) ⇒ Object

Stores a single fact produced outside the extraction flow (e.g. by reflection over episodes), preserving caller-supplied provenance so the insight remains traceable to its source. Returns the item id.



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# File 'lib/llmemory/long_term/file_based/memory.rb', line 91

def remember_fact(content:, category: "general", importance: 0.6, provenance: nil)
  return nil if content.to_s.strip.empty?
  @storage.save_item(
    @user_id,
    category: category.to_s,
    content: content.to_s,
    source_resource_id: nil,
    importance: importance,
    provenance: provenance
  )
end

#retrieve(query) ⇒ Object 



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# File 'lib/llmemory/long_term/file_based/memory.rb', line 47

def retrieve(query)
  retrieval = Retrieval.new(user_id: @user_id, storage: @storage, llm: @llm)
  retrieval.retrieve(query)
end

#search_candidates(query, user_id: nil, top_k: 20) ⇒ Object 



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# File 'lib/llmemory/long_term/file_based/memory.rb', line 52

def search_candidates(query, user_id: nil, top_k: 20)
  uid = user_id || @user_id
  items = @storage.search_items(uid, query)
  resources = @storage.search_resources(uid, query)
  daily_logs = load_daily_logs_for_retrieval(uid) if Llmemory.configuration.daily_logs_enabled && @storage.respond_to?(:load_daily_logs)
  category_summaries = load_category_summaries_as_candidates(uid, query)
  out = []

  category_summaries.each do |c|
    out << c.merge(evergreen: true)
  end

  items.first(top_k).each do |i|
    out << {
      text: i[:content] || i["content"],
      timestamp: i[:created_at] || i["created_at"],
      score: 1.0,
      importance: (i[:importance] || i["importance"] || 1.0).to_f,
      evergreen: i[:evergreen] || i["evergreen"]
    }
  end
  resources.first([top_k - out.size, 0].max).each do |r|
    out << {
      text: r[:text] || r["text"],
      timestamp: r[:created_at] || r["created_at"],
      score: 0.9
    }
  end
  if daily_logs
    daily_logs.each do |log|
      out << { text: log[:content], timestamp: log[:date].to_time, score: 0.85 }
    end
  end
  out
end