Kward

Class: Kward::Memory::Manager

Inherits:
Object
  • Object
show all
Defined in:
lib/kward/memory/manager.rb

Overview

Manages Kward's opt-in structured memory store.

Core memories are explicit, high-trust instructions. Soft memories are confidence-scored contextual hints. Session memory is handled by session persistence, while this manager owns global/workspace JSON and JSONL files plus the audit event log.

Constant Summary collapse

CORE_LIMIT = 
6
SOFT_LIMIT = 
6
DEFAULT_SOFT_TTL_DAYS = 
60
DEFAULT_SOFT_CONFIDENCE = 
0.65
EMOTIONAL_PATTERN = 
/\b(love|loves|romantic|intimate|dependency|depend on me|need me|flirty|crush)\b/i
MEMORY_DUPLICATE_STOPWORDS = 
Set.new(%w[a an and as at for in of on or that the this to with])

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(config_path: ConfigFiles.config_path, core_path: ConfigFiles.memory_core_path, soft_path: ConfigFiles.memory_soft_path, events_path: ConfigFiles.memory_events_path, now: nil) ⇒ Manager

Creates an object for memory storage and retrieval.



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# File 'lib/kward/memory/manager.rb', line 42

def initialize(config_path: ConfigFiles.config_path, core_path: ConfigFiles.memory_core_path, soft_path: ConfigFiles.memory_soft_path, events_path: ConfigFiles.memory_events_path, now: nil)
  @config_path = config_path
  @core_path = core_path
  @soft_path = soft_path
  @events_path = events_path
  @now = now
  @last_retrieval = nil
end

Instance Attribute Details

#last_retrieval ⇒ Object (readonly)

Details for the most recent retrieval, used by /memory why.



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# File 'lib/kward/memory/manager.rb', line 29

def last_retrieval
  @last_retrieval
end

Class Method Details

.for_config_dir(config_dir, now: nil) ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 31

def self.for_config_dir(config_dir, now: nil)
  new(
    config_path: File.join(config_dir, "config.json"),
    core_path: File.join(config_dir, "memory", "core.json"),
    soft_path: File.join(config_dir, "memory", "soft.jsonl"),
    events_path: File.join(config_dir, "memory", "events.jsonl"),
    now: now
  )
end

Instance Method Details

#add_core(text, scope: "global", tags: [], source: "explicit_user_instruction", pinned: true) ⇒ Hash

Stores an explicit high-trust memory.

Parameters:

  • text (String) —

    memory text

  • scope (String) (defaults to: "global") —

    global or workspace:<path> scope

  • tags (Array<String>) (defaults to: []) —

    searchable tags

Returns:

  • (Hash) —

    stored memory record

Raises:

  • (ArgumentError) 


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# File 'lib/kward/memory/manager.rb', line 123

def add_core(text, scope: "global", tags: [], source: "explicit_user_instruction", pinned: true)
  record = {
    "id" => next_id("core", core_memories.map { |item| item["id"] }),
    "text" => clean_text(normalize_memory_text(text)),
    "scope" => clean_scope(scope),
    "tags" => clean_tags(tags),
    "created_at" => timestamp,
    "updated_at" => timestamp,
    "source" => source,
    "pinned" => pinned ? true : false
  }
  raise ArgumentError, "Memory text cannot be empty" if record["text"].empty?

  memories = core_memories
  memories << record
  write_core(memories)
  append_event("add", event_ref(record, layer: "core"))
  record
end

#add_soft(text, scope: "global", tags: [], confidence: DEFAULT_SOFT_CONFIDENCE, ttl_days: DEFAULT_SOFT_TTL_DAYS, source: "manual") ⇒ Hash

Stores a contextual hint with confidence and optional expiry.

Parameters:

  • text (String) —

    memory text

  • scope (String) (defaults to: "global") —

    global or workspace:<path> scope

  • tags (Array<String>) (defaults to: []) —

    searchable tags

  • confidence (Numeric) (defaults to: DEFAULT_SOFT_CONFIDENCE) —

    confidence clamped between 0.0 and 1.0

  • ttl_days (Integer, nil) (defaults to: DEFAULT_SOFT_TTL_DAYS) —

    time-to-live in days

Returns:

  • (Hash) —

    stored memory record

Raises:

  • (ArgumentError) 


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# File 'lib/kward/memory/manager.rb', line 151

def add_soft(text, scope: "global", tags: [], confidence: DEFAULT_SOFT_CONFIDENCE, ttl_days: DEFAULT_SOFT_TTL_DAYS, source: "manual")
  normalized_scope = clean_scope(scope)
  normalized_text = clean_text(normalize_memory_text(text))
  raise ArgumentError, "Memory text cannot be empty" if normalized_text.empty?
  raise ArgumentError, "Refusing to persist emotional or dependency-forming memory automatically" if source == "inferred" && unsafe_soft_text?(normalized_text)

  existing = soft_memories.find do |item|
    item["scope"] == normalized_scope && duplicate_memory_text?(normalized_text, [item["text"]])
  end
  return existing if existing

  record = {
    "id" => next_id("soft", soft_memories(include_inactive: true).map { |item| item["id"] }),
    "text" => normalized_text,
    "scope" => normalized_scope,
    "tags" => clean_tags(tags),
    "confidence" => [[confidence.to_f, 0.0].max, 1.0].min,
    "hits" => 0,
    "created_at" => timestamp,
    "updated_at" => timestamp,
    "last_seen_at" => timestamp,
    "ttl_days" => ttl_days.to_i <= 0 ? DEFAULT_SOFT_TTL_DAYS : ttl_days.to_i,
    "source" => source,
    "status" => "active"
  }

  append_soft(record)
  append_event("add", event_ref(record, layer: "soft"))
  record
end

#auto_summary_disable ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 113

def auto_summary_disable
  set_auto_summary(false)
end

#auto_summary_enable ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 109

def auto_summary_enable
  set_auto_summary(true)
end

#auto_summary_enabled=(value) ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 89

def auto_summary_enabled=(value)
  set_auto_summary(value)
end

#auto_summary_enabled? ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/kward/memory/manager.rb', line 81

def auto_summary_enabled?
  config = ConfigFiles.read_config(@config_path)
  memory = config["memory"]
  memory.is_a?(Hash) && memory["auto_summary"] == true
rescue StandardError
  false
end

#deduplicate_soft_records(records) ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 469

def deduplicate_soft_records(records)
  seen = []
  records.each_with_object([]) do |record, deduplicated|
    scope = record["scope"]
    text = record["text"]
    duplicate = seen.any? do |seen_record|
      seen_record["scope"] == scope && duplicate_memory_text?(text, [seen_record["text"]])
    end
    next if duplicate

    seen << record
    deduplicated << record
  end
end

#default_client ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 511

def default_client
  @default_client ||= Kward::Client.new
rescue StandardError
  nil
end

#disable ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 71

def disable
  config = ConfigFiles.read_config(@config_path)
  memory = config["memory"].is_a?(Hash) ? config["memory"].dup : {}
  memory["enabled"] = false
  config["memory"] = memory
  ConfigFiles.write_config(config, @config_path)
  append_event("disable", {})
  true
end

#duplicate_memory_text?(text, existing_texts) ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/kward/memory/manager.rb', line 420

def duplicate_memory_text?(text, existing_texts)
  candidate = memory_duplicate_key(text)
  candidate_tokens = memory_duplicate_tokens(text)
  Array(existing_texts).any? do |existing|
    existing_key = memory_duplicate_key(existing)
    next true if existing_key == candidate

    existing_tokens = memory_duplicate_tokens(existing)
    next false if candidate_tokens.empty? || existing_tokens.empty?

    overlap = (candidate_tokens & existing_tokens).length
    union = (candidate_tokens | existing_tokens).length
    union.positive? && overlap.to_f / union >= 0.8
  end
end

#enable ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 60

def enable
  config = ConfigFiles.read_config(@config_path)
  memory = config["memory"].is_a?(Hash) ? config["memory"].dup : {}
  memory["enabled"] = true
  config["memory"] = memory
  ConfigFiles.write_config(config, @config_path)
  ensure_storage!
  append_event("enable", {})
  true
end

#enabled? ⇒ Boolean

Returns whether memory prompt injection is enabled.

Returns:

  • (Boolean) —

    whether memory prompt injection is enabled



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# File 'lib/kward/memory/manager.rb', line 52

def enabled?
  config = ConfigFiles.read_config(@config_path)
  memory = config["memory"]
  memory.is_a?(Hash) && memory["enabled"] == true
rescue StandardError
  false
end

#explain_retrieval ⇒ Hash

Returns explanation data for the most recent retrieval.

Returns:

  • (Hash) —

    explanation data for the most recent retrieval



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# File 'lib/kward/memory/manager.rb', line 313

def explain_retrieval
  @last_retrieval || { "enabled" => enabled?, "core" => [], "soft" => [], "reasons" => [], "message" => "No memory retrieval has run yet." }
end

#forget_memory(id) ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 214

def forget_memory(id)
  id = id.to_s
  memories = core_memories
  if memories.any? { |item| item["id"] == id }
    write_core(memories.reject { |item| item["id"] == id })
    append_event("forget", { "id" => id, "layer" => "core" })
    return true
  end

  records = soft_memories(include_inactive: true)
  found = false
  records.each do |item|
    next unless item["id"] == id && item["status"] != "forgotten"

    item["text"] = "[forgotten]"
    item["tags"] = []
    item["confidence"] = 0.0
    item["hits"] = 0
    item["status"] = "forgotten"
    item["updated_at"] = timestamp
    found = true
  end
  if found
    write_soft(records)
    append_event("forget", { "id" => id, "layer" => "soft" })
  end
  found
end

#hierarchy(workspace_root: Dir.pwd, include_inactive: false) ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 249

def hierarchy(workspace_root: Dir.pwd, include_inactive: false)
  workspace = workspace_scope(workspace_root)
  core = core_memories
  soft = soft_memories(include_inactive: include_inactive)
  soft = deduplicate_soft_records(soft) unless include_inactive
  {
    "global_core" => core.select { |item| item["scope"] == "global" },
    "workspace_core" => core.select { |item| item["scope"] == workspace },
    "workspace_soft" => soft.select { |item| item["scope"] == workspace }
  }
end

#infer_soft_from_text(text, workspace_root: Dir.pwd, client: nil, existing_texts: []) ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 366

def infer_soft_from_text(text, workspace_root: Dir.pwd, client: nil, existing_texts: [])
  candidates = heuristic_candidates(text)
  existing_set = Set.new(existing_texts.map { |t| normalize_for_comparison(t) })
  scope = workspace_scope(workspace_root)
  workspace_scopes = [scope, clean_scope("workspace:#{workspace_root}")].uniq
  workspace_soft_texts = soft_memories.select { |memory| workspace_scopes.include?(memory["scope"]) }.map { |memory| memory["text"] }
  candidates.filter_map do |candidate|
    summarized = normalize_inferred_memory_text(summarize_text(candidate, client: client), source_text: candidate)
    normalized = normalize_for_comparison(summarized)
    # Skip if this text already exists in provided list or existing soft memories
    next if existing_set.include?(normalized)
    next if duplicate_memory_text?(summarized, existing_texts)
    next if duplicate_memory_text?(summarized, workspace_soft_texts)

    record = add_soft(summarized, scope: scope, tags: ["workflow"], confidence: 0.55, source: "inferred")
    workspace_soft_texts << record["text"]
    record
  end
end

#inspect_memory ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 261

def inspect_memory
  list(include_inactive: true).merge("enabled" => enabled?, "paths" => paths)
end

#list(include_inactive: false) ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 243

def list(include_inactive: false)
  soft = soft_memories(include_inactive: include_inactive)
  soft = deduplicate_soft_records(soft) unless include_inactive
  { "core" => core_memories, "soft" => soft }
end

#llm_summarize(client, text) ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 517

def llm_summarize(client, text)
  messages = [
    { role: "system", content: <<~SYSTEM },
      You are a memory text reformulation assistant. Your task is to transform user-generated text into proper third-person descriptive memory statements.

      Rules:
      - Convert first-person statements ("I like", "we prefer") to third-person ("The user likes", "The user prefers")
      - Remove conversational filler, preambles, and action descriptions
      - Keep only the factual preference or fact
      - Always use "The user" as the subject for personal preferences
      - Do not use persona-specific names, titles, roles, or nicknames
      - Preserve workflow-related technical preferences as-is
      - Keep the text concise (under 100 characters)
      - If the text is already a good memory statement, return it unchanged

      Examples:
      - "I like to eat the most important meal today: steak" → "The user likes eating steak"
      - "We should prefer TDD for this project" → "Prefer TDD for this project"
      - "Remember that the user prefers minitest" → "The user prefers minitest"
      - "But first we need to remember that we are using TDD" → "Use TDD"
      - "The user usually asks for tests" → "The user usually asks for tests"
      - "Prefer evidence from code, tests, logs" → "Prefer evidence from code, tests, logs"
    SYSTEM
    { role: "user", content: "Reformulate this as a memory statement: #{text}" }
  ]

  response = client.chat(messages, max_tokens: 100, reasoning: false)
  content = response.dig("content") || response[:content]
  return text unless content

  content.strip
rescue StandardError
  text
end

#memory_block(retrieval) ⇒ Object

Formats retrieved memories for system prompt injection.

Keep this block compact and explicit: it is read by the model, shown in transcripts, and explained by /memory why. Do not include inactive or forgotten memories here; retrieval already decides the active set.



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# File 'lib/kward/memory/manager.rb', line 322

def memory_block(retrieval)
  core = Array(retrieval["core"])
  soft = Array(retrieval["soft"])
  return nil if core.empty? && soft.empty?

  global_core = core.select { |item| item["scope"] == "global" }
  workspace_core = core.reject { |item| item["scope"] == "global" }

  lines = ["<kward_memory>"]
  unless global_core.empty?
    lines << "Global Core Memories:"
    global_core.each { |item| lines << "- [#{item["id"]}] #{item["text"]}" }
    lines << ""
  end
  unless workspace_core.empty?
    lines << "Workspace Core Memories:"
    workspace_core.each { |item| lines << "- [#{item["id"]}] #{item["text"]}" }
    lines << ""
  end
  unless soft.empty?
    lines << "Workspace Soft Memories:"
    soft.each { |item| lines << "- [#{item["id"]}] #{item["text"]}" }
    lines << ""
  end
  lines << "Rules:"
  lines << "- Core memories override soft memories."
  lines << "- Soft memories are contextual hints, not guaranteed facts."
  lines << "</kward_memory>"
  lines.join("\n")
end

#memory_duplicate_key(text) ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 436

def memory_duplicate_key(text)
  normalized = normalize_for_comparison(text).downcase
  normalized = normalized.sub(/\Ai\s+(?:(usually|always)\s+)?(prefer|like|use|want|believe|think|avoid)\b/i) do
    ["the user", Regexp.last_match(1)&.downcase, third_person_verb(Regexp.last_match(2))].compact.join(" ")
  end
  normalized = normalized.sub(/\Awe\s+(?:(usually|always)\s+)?(prefer|like|use|want|believe|think|avoid)\b/i) do
    ["the user", Regexp.last_match(1)&.downcase, third_person_verb(Regexp.last_match(2))].compact.join(" ")
  end
  normalized = normalized.sub(/\Amy\s+/i, "the user's ")
  normalized = normalized.sub(/\Aour\s+/i, "the user's ")
  normalized.tr("“”‘’", "\"\"''")
end

#memory_duplicate_token(term) ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 456

def memory_duplicate_token(term)
  case term
  when "uses", "using"
    "use"
  when "prefers", "preferring"
    "prefer"
  when "avoids", "avoiding"
    "avoid"
  else
    term.sub(/\A(.{4,})s\z/, '\\1')
  end
end

#memory_duplicate_tokens(text) ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 449

def memory_duplicate_tokens(text)
  memory_duplicate_key(text).scan(/[a-z0-9_\-']{3,}/).filter_map do |term|
    token = memory_duplicate_token(term)
    token unless MEMORY_DUPLICATE_STOPWORDS.include?(token)
  end.uniq
end

#normalize_inferred_memory_text(text, source_text: nil) ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 386

def normalize_inferred_memory_text(text, source_text: nil)
  normalized = normalize_memory_text(text)
  source = source_text.to_s
  first_person_source = source.match?(/\b(?:i|we|my|our)\b/i)

  if first_person_source
    normalized = normalized.sub(/\AThe\s+\w+\s+(prefers|likes|uses|usually|always|wants|believes|thinks|avoids)\b/i) do
      "The user #{Regexp.last_match(1).downcase}"
    end
    normalized = normalized.sub(/\AI\s+(?:(usually|always)\s+)?(prefer|like|use|want|believe|think|avoid)\b/i) do
      adverb = Regexp.last_match(1)
      verb = third_person_verb(Regexp.last_match(2))
      ["The user", adverb&.downcase, verb].compact.join(" ")
    end
    normalized = normalized.sub(/\AWe\s+(?:(usually|always)\s+)?(prefer|like|use|want|believe|think|avoid)\b/i) do
      adverb = Regexp.last_match(1)
      verb = third_person_verb(Regexp.last_match(2))
      ["The user", adverb&.downcase, verb].compact.join(" ")
    end
    normalized = normalized.sub(/\AMy\s+/i, "The user's ")
    normalized = normalized.sub(/\AOur\s+/i, "The user's ")
  end

  clean_text(normalized)
end

#paths ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 552

def paths
  { "core" => @core_path, "soft" => @soft_path, "events" => @events_path }
end

#promote_memory(id) ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 182

def promote_memory(id)
  id = id.to_s
  core = core_memories.find { |item| item["id"] == id }
  return promote_core_to_global(core) if core

  promote_soft_to_core(id)
end

#promote_soft_to_core(id) ⇒ Object

Raises:

  • (ArgumentError) 


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# File 'lib/kward/memory/manager.rb', line 190

def promote_soft_to_core(id)
  soft = soft_memories.find { |item| item["id"] == id.to_s }
  raise ArgumentError, "Unknown active soft memory or workspace core memory: #{id}" unless soft

  core = add_core(soft["text"], scope: soft["scope"], tags: soft["tags"], source: "promoted_soft_memory", pinned: true)
  forget_memory(id)
  append_event("promote", { "from_id" => soft["id"], "to_id" => core["id"] })
  core
end

#relax_core(id, workspace_root: Dir.pwd) ⇒ Object

Raises:

  • (ArgumentError) 


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# File 'lib/kward/memory/manager.rb', line 200

def relax_core(id, workspace_root: Dir.pwd)
  id = id.to_s
  memories = core_memories
  core = memories.find { |item| item["id"] == id }
  raise ArgumentError, "Unknown core memory: #{id}" unless core
  raise ArgumentError, "Only global core memories can be relaxed" unless core["scope"] == "global"

  core["scope"] = workspace_scope(workspace_root)
  core["updated_at"] = timestamp
  write_core(memories)
  append_event("relax", event_ref(core, layer: "core"))
  core
end

#retrieve_relevant(input:, workspace_root: Dir.pwd, max_core: CORE_LIMIT, max_soft: SOFT_LIMIT) ⇒ Hash

Selects bounded core and soft memories relevant to an interactive turn.

Retrieval is scoped to global and workspace memories, prefers core memories, and scores soft memories by text/tag overlap, confidence, and expiry.

Parameters:

  • input (String) —

    current user input

  • workspace_root (String) (defaults to: Dir.pwd) —

    active workspace root

Returns:

  • (Hash) —

    retrieval result for prompt injection and explanation



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# File 'lib/kward/memory/manager.rb', line 274

def retrieve_relevant(input:, workspace_root: Dir.pwd, max_core: CORE_LIMIT, max_soft: SOFT_LIMIT)
  unless enabled?
    @last_retrieval = { "enabled" => false, "core" => [], "soft" => [], "reasons" => [] }
    return @last_retrieval
  end

  scopes = scopes_for(workspace_root)
  workspace = workspace_scope(workspace_root)
  terms = terms_for(input)
  core = ranked_core_memories(workspace).first(max_core)
  core_reasons = core.map { |item| reason_for(item, layer: "core", score: 1.0, reasons: ["scope match", "core memories are preferred"]) }

  soft_records_all = soft_memories(include_inactive: true)
  soft_scored = deduplicate_soft_records(soft_records_all.select { |item| item["status"] == "active" }).filter_map do |item|
    next unless item["scope"] == workspace
    next if expired?(item)

    score, reasons = soft_score(item, terms)
    next if score <= 0

    [item, score, reasons]
  end
  soft = soft_scored.sort_by { |item, score, _reasons| [-score, -item["confidence"].to_f, item["id"].to_s] }.first(max_soft)
  soft_records = soft.map(&:first)
  touch_soft_records(soft_records_all, soft_records)
  soft_reasons = soft.map { |item, score, reasons| reason_for(item, layer: "soft", score: score, reasons: reasons) }

  @last_retrieval = {
    "enabled" => true,
    "scopes" => scopes,
    "core" => core,
    "soft" => soft_records,
    "reasons" => core_reasons + soft_reasons
  }
  append_event("retrieve", { "core_ids" => core.map { |item| item["id"] }, "soft_ids" => soft_records.map { |item| item["id"] }, "scopes" => scopes })
  @last_retrieval
end

#set_auto_summary(value) ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 93

def set_auto_summary(value)
  config = ConfigFiles.read_config(@config_path)
  memory = config["memory"].is_a?(Hash) ? config["memory"].dup : {}
  enabled = value ? true : false
  previous = memory["auto_summary"] == true
  if enabled
    memory["auto_summary"] = true
  else
    memory.delete("auto_summary")
  end
  config["memory"] = memory
  ConfigFiles.write_config(config, @config_path)
  append_event(enabled ? "auto_summary_enable" : "auto_summary_disable", {}) unless previous == enabled
  auto_summary_enabled?
end

#should_use_llm_summarization? ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/kward/memory/manager.rb', line 498

def should_use_llm_summarization?
  # Check if we have valid credentials to make LLM calls
  client = default_client
  return false unless client

  token = client.instance_variable_get(:@openai_access_token) ||
                 client.instance_variable_get(:@openrouter_api_key) ||
                 client.send(:github_access_token)
  token.to_s.length > 10
rescue StandardError
  false
end

#summarize_conversation(conversation, client: nil) ⇒ Object

Infers bounded session/workspace soft memories from a conversation.

This is best-effort and intentionally conservative. It may use an LLM when configured, but failures fall back to heuristic text or no-op behavior so memory summarization never blocks normal session flow.



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# File 'lib/kward/memory/manager.rb', line 358

def summarize_conversation(conversation, client: nil)
  text = messages_for_summarization(conversation).map { |message| MessageAccess.content(message) }.compact.join("\n")
  existing_texts = Array(conversation.session_memories).map { |memory| memory["text"] }
  records = infer_soft_from_text(text, workspace_root: conversation.workspace_root, client: client, existing_texts: existing_texts)
  conversation.session_memories.concat(records.map { |record| record.slice("id", "text", "scope", "tags") }) if conversation.session_memories.respond_to?(:concat)
  records
end

#summarize_text(text, client: nil) ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 484

def summarize_text(text, client: nil)
  summarizer_client = client
  unless summarizer_client
    return text unless should_use_llm_summarization?

    summarizer_client = default_client
  end

  summary = llm_summarize(summarizer_client, text)
  summary.empty? ? text : summary
rescue StandardError
  text
end

#third_person_verb(verb) ⇒ Object 



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# File 'lib/kward/memory/manager.rb', line 412

def third_person_verb(verb)
  word = verb.to_s.downcase
  return word if ["usually", "always"].include?(word)
  return "uses" if word == "use"

  word.end_with?("s") ? word : "#{word}s"
end