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194 lines
6.1 KiB
Ruby
194 lines
6.1 KiB
Ruby
class Assistant::Responder
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ToolCallLimitError = Class.new(StandardError)
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EmptyResponseError = Class.new(StandardError)
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DEFAULT_MAX_TOOL_CALL_ITERATIONS = 5
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def initialize(message:, instructions:, function_tool_caller:, llm:)
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@message = message
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@instructions = instructions
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@function_tool_caller = function_tool_caller
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@llm = llm
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end
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def on(event_name, &block)
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listeners[event_name.to_sym] << block
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end
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def respond(previous_response_id: nil)
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response, response_has_text = request_response(previous_response_id: previous_response_id)
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any_response_has_text = response_has_text
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in_flight_function_results = []
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iteration = 0
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while response.function_requests.any?
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iteration += 1
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if iteration > max_tool_call_iterations
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raise ToolCallLimitError,
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"Assistant exceeded the tool-call limit of #{max_tool_call_iterations} for one response"
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end
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function_tool_calls = function_tool_caller.fulfill_requests(response.function_requests)
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function_results = function_tool_calls.map(&:to_result)
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in_flight_function_results.concat(function_results)
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emit(:response, {
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id: response.id,
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function_tool_calls: function_tool_calls
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})
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response, response_has_text = request_response(
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function_results: provider_preserves_response_context? ? function_results : in_flight_function_results.dup,
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previous_response_id: response.id
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)
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any_response_has_text ||= response_has_text
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end
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raise EmptyResponseError, "Assistant returned neither text nor tool calls" unless any_response_has_text
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emit(:response, { id: response.id })
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end
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private
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attr_reader :message, :instructions, :function_tool_caller, :llm
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def request_response(function_results: [], previous_response_id: nil)
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response_has_text = false
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streamer = proc do |chunk|
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if chunk.type == "output_text" && chunk.data.present?
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response_has_text = true
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emit(:output_text, chunk.data)
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end
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end
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response = get_llm_response(
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streamer: streamer,
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function_results: function_results,
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previous_response_id: previous_response_id
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)
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response_has_text ||= response.messages.any? { |response_message| response_message.output_text.present? }
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[ response, response_has_text ]
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end
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def provider_preserves_response_context?
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llm.respond_to?(:supports_responses_endpoint?) && llm.supports_responses_endpoint?
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end
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def max_tool_call_iterations
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configured = Integer(ENV.fetch("ASSISTANT_MAX_TOOL_CALL_ITERATIONS", DEFAULT_MAX_TOOL_CALL_ITERATIONS).to_s, 10)
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configured.positive? ? configured : DEFAULT_MAX_TOOL_CALL_ITERATIONS
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rescue ArgumentError
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DEFAULT_MAX_TOOL_CALL_ITERATIONS
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end
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def get_llm_response(streamer:, function_results: [], previous_response_id: nil)
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response = llm.chat_response(
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message.content,
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model: message.ai_model,
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instructions: instructions,
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functions: function_tool_caller.function_definitions,
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function_results: function_results,
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messages: openai_messages_payload,
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conversation_history: chat_message_records,
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streamer: streamer,
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previous_response_id: previous_response_id,
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session_id: chat_session_id,
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user_identifier: chat_user_identifier,
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family: message.chat&.user&.family
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)
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unless response.success?
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raise response.error
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end
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response.data
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end
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def emit(event_name, payload = nil)
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listeners[event_name.to_sym].each { |block| block.call(payload) }
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end
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def listeners
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@listeners ||= Hash.new { |h, k| h[k] = [] }
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end
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def chat_session_id
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chat&.id&.to_s
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end
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def chat_user_identifier
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return unless chat&.user_id
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::Digest::SHA256.hexdigest(chat.user_id.to_s)
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end
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def chat
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@chat ||= message.chat
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end
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# Memoized fetch — both `chat_message_records` and `openai_messages_payload`
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# derive their shape from this one in-memory array so a single chat turn
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# fires one history query instead of two.
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def complete_chat_messages
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return @complete_chat_messages if defined?(@complete_chat_messages)
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@complete_chat_messages =
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if chat&.messages
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chat.messages
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.where(type: [ "UserMessage", "AssistantMessage" ], status: "complete")
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.includes(:tool_calls)
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.ordered
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.to_a
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else
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[]
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end
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end
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# Raw Message records preceding the current turn — providers that build
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# their own native message shape (Anthropic) consume this directly so they
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# do not have to round-trip through the OpenAI-shaped payload below.
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def chat_message_records
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complete_chat_messages.reject { |m| m.id == message.id }
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end
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# Builds the OpenAI-shaped messages payload (role: "user" | "assistant" |
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# "tool"; tool_call_id pairing) consumed by Provider::Openai's generic
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# chat path. Anthropic uses chat_message_records instead.
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def openai_messages_payload
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messages = []
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complete_chat_messages.each do |chat_message|
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if chat_message.tool_calls.any?
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messages << {
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role: chat_message.role,
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content: chat_message.content || "",
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tool_calls: chat_message.tool_calls.map(&:to_tool_call)
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}
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chat_message.tool_calls.map(&:to_result).each do |fn_result|
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# Handle nil explicitly to avoid serializing to "null"
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output = fn_result[:output]
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content = if output.nil?
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""
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elsif output.is_a?(String)
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output
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else
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output.to_json
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end
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messages << {
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role: "tool",
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tool_call_id: fn_result[:call_id],
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name: fn_result[:name],
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content: content
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}
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end
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elsif !chat_message.content.blank?
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messages << { role: chat_message.role, content: chat_message.content || "" }
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end
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end
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messages
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end
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end
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