Module: Legion::LLM::API::Namespaces::OpenAI::Conversations

Extended by:
Legion::Logging::Helper
Defined in:
lib/legion/llm/api/namespaces/openai/conversations.rb,
lib/legion/llm/api/namespaces/openai/conversations/items.rb

Defined Under Namespace

Modules: Items

Class Method Summary collapse

Class Method Details

.registered(app) ⇒ Object

rubocop:disable Metrics/AbcSize,Metrics/MethodLength



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# File 'lib/legion/llm/api/namespaces/openai/conversations.rb', line 16

def self.registered(app) # rubocop:disable Metrics/AbcSize,Metrics/MethodLength
  log.debug('[llm][api][namespaces][openai][conversations] registering routes')

  app.post '/v1/conversations' do
    require_llm!
    body = parse_request_body
    conv_id = "conv_#{SecureRandom.hex(16)}"

    model = body[:model].to_s
    title = body.dig(:metadata, :title)
    meta  = body[:metadata] || {}

    Inference::Conversation.create_conversation(conv_id)
    Inference::Conversation.store_metadata(conv_id, title: title, model: model.empty? ? nil : model)

    log.debug("[llm][api][openai][conversations] action=create conv_id=#{conv_id} model=#{model}")

    content_type :json
    status 200
    Legion::JSON.dump({
      id:         conv_id,
      object:     'conversation',
      created_at: Time.now.to_i,
      model:      model.empty? ? nil : model,
      metadata:   meta
    }.compact)
  rescue StandardError => e
    handle_exception(e, level: :error, handled: false, operation: 'llm.api.openai.conversations.create')
    openai_error(e.message, type: 'server_error', code: 'internal_error', status_code: 500)
  end

  app.get '/v1/conversations/:id' do
    require_llm!
    conv_id = params[:id]

    unless Inference::Conversation.conversation_exists?(conv_id)
      halt 404, { 'Content-Type' => 'application/json' },
           Legion::JSON.dump({ error: { message: "Conversation '#{conv_id}' not found.",
                                        type: 'invalid_request_error', code: 'conversation_not_found' } })
    end

    meta = Inference::Conversation.read_metadata(conv_id) || {}

    # Tombstone check — conversation was deleted via DELETE /:id
    if meta[:title] == '__deleted__'
      halt 404, { 'Content-Type' => 'application/json' },
           Legion::JSON.dump({ error: { message: "Conversation '#{conv_id}' not found.",
                                        type: 'invalid_request_error', code: 'conversation_not_found' } })
    end

    msg_count = Inference::Conversation.messages(conv_id).size

    log.debug("[llm][api][openai][conversations] action=get conv_id=#{conv_id} messages=#{msg_count}")

    content_type :json
    status 200
    Legion::JSON.dump({
      id:            conv_id,
      object:        'conversation',
      created_at:    nil,
      model:         meta[:model],
      title:         meta[:title],
      message_count: msg_count
    }.compact)
  rescue StandardError => e
    handle_exception(e, level: :error, handled: false, operation: 'llm.api.openai.conversations.get')
    openai_error(e.message, type: 'server_error', code: 'internal_error', status_code: 500)
  end

  app.post '/v1/conversations/:id' do
    require_llm!
    conv_id = params[:id]
    body    = parse_request_body

    unless Inference::Conversation.conversation_exists?(conv_id)
      halt 404, { 'Content-Type' => 'application/json' },
           Legion::JSON.dump({ error: { message: "Conversation '#{conv_id}' not found.",
                                        type: 'invalid_request_error', code: 'conversation_not_found' } })
    end

    new_meta = body[:metadata] || {}
    title    = new_meta[:title]
    model    = new_meta[:model] || body[:model]

    Inference::Conversation.store_metadata(conv_id, title: title, model: model)
    log.debug("[llm][api][openai][conversations] action=update conv_id=#{conv_id}")

    content_type :json
    status 200
    Legion::JSON.dump(
      {
        id:       conv_id,
        object:   'conversation',
        metadata: new_meta
      }
    )
  rescue StandardError => e
    handle_exception(e, level: :error, handled: false, operation: 'llm.api.openai.conversations.update')
    openai_error(e.message, type: 'server_error', code: 'internal_error', status_code: 500)
  end

  app.delete '/v1/conversations/:id' do
    require_llm!
    conv_id = params[:id]

    unless Inference::Conversation.conversation_exists?(conv_id)
      halt 404, { 'Content-Type' => 'application/json' },
           Legion::JSON.dump({ error: { message: "Conversation '#{conv_id}' not found.",
                                        type: 'invalid_request_error', code: 'conversation_not_found' } })
    end

    # Tombstone strategy: mark this specific conversation as deleted.
    # GET /:id checks for tombstone and treats it as gone.
    Inference::Conversation.store_metadata(conv_id, title: '__deleted__')
    log.debug("[llm][api][openai][conversations] action=delete conv_id=#{conv_id}")

    content_type :json
    status 200
    Legion::JSON.dump({ id: conv_id, object: 'conversation', deleted: true })
  rescue StandardError => e
    handle_exception(e, level: :error, handled: false, operation: 'llm.api.openai.conversations.delete')
    openai_error(e.message, type: 'server_error', code: 'internal_error', status_code: 500)
  end

  log.debug('[llm][api][namespaces][openai][conversations] routes registered')
rescue StandardError => e
  handle_exception(e, level: :error, handled: false, operation: 'llm.api.openai.conversations.register')
end