feat: Instrument captain (#12949)
Co-authored-by: aakashb95 <aakash@chatwoot.com>
This commit is contained in:
@@ -1,94 +1,78 @@
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module Captain::ChatHelper
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include Integrations::LlmInstrumentation
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include Captain::ToolExecutionHelper
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def request_chat_completion
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log_chat_completion_request
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response = @client.chat(
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parameters: {
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model: @model,
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messages: @messages,
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tools: @tool_registry&.registered_tools || [],
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response_format: { type: 'json_object' },
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temperature: @assistant&.config&.[]('temperature').to_f || 1
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}
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)
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handle_response(response)
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with_agent_session do
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response = instrument_llm_call(instrumentation_params) do
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@client.chat(
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parameters: chat_parameters
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)
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end
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handle_response(response)
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end
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rescue StandardError => e
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Rails.logger.error "#{self.class.name} Assistant: #{@assistant.id}, Error in chat completion: #{e}"
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raise e
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end
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def instrumentation_params
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{
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span_name: "llm.captain.#{feature_name}",
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account_id: resolved_account_id,
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conversation_id: @conversation_id,
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feature_name: feature_name,
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model: @model,
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messages: @messages,
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temperature: temperature,
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metadata: {
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assistant_id: @assistant&.id
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}
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}
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end
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def chat_parameters
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{
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model: @model,
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messages: @messages,
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tools: @tool_registry&.registered_tools || [],
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response_format: { type: 'json_object' },
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temperature: temperature
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}
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end
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def temperature
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@assistant&.config&.[]('temperature').to_f || 1
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end
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def resolved_account_id
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@account&.id || @assistant&.account_id
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end
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private
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def handle_response(response)
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Rails.logger.debug { "#{self.class.name} Assistant: #{@assistant.id}, Received response #{response}" }
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message = response.dig('choices', 0, 'message')
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if message['tool_calls']
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process_tool_calls(message['tool_calls'])
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else
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message = JSON.parse(message['content'].strip)
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persist_message(message, 'assistant')
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message
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end
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# Ensures all LLM calls and tool executions within an agentic loop
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# are grouped under a single trace/session in Langfuse.
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#
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# Without this guard, each recursive call to request_chat_completion
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# (triggered by tool calls) would create a separate trace instead of
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# nesting within the existing session span.
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def with_agent_session(&)
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already_active = @agent_session_active
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return yield if already_active
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@agent_session_active = true
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instrument_agent_session(instrumentation_params, &)
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ensure
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@agent_session_active = false unless already_active
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end
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def process_tool_calls(tool_calls)
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append_tool_calls(tool_calls)
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tool_calls.each do |tool_call|
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process_tool_call(tool_call)
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end
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request_chat_completion
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end
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def process_tool_call(tool_call)
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arguments = JSON.parse(tool_call['function']['arguments'])
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function_name = tool_call['function']['name']
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tool_call_id = tool_call['id']
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if @tool_registry.respond_to?(function_name)
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execute_tool(function_name, arguments, tool_call_id)
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else
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process_invalid_tool_call(function_name, tool_call_id)
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end
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end
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def execute_tool(function_name, arguments, tool_call_id)
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persist_message(
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{
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content: I18n.t('captain.copilot.using_tool', function_name: function_name),
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function_name: function_name
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},
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'assistant_thinking'
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)
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result = @tool_registry.send(function_name, arguments)
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persist_message(
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{
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content: I18n.t('captain.copilot.completed_tool_call', function_name: function_name),
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function_name: function_name
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},
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'assistant_thinking'
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)
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append_tool_response(result, tool_call_id)
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end
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def append_tool_calls(tool_calls)
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@messages << {
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role: 'assistant',
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tool_calls: tool_calls
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}
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end
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def process_invalid_tool_call(function_name, tool_call_id)
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persist_message({ content: I18n.t('captain.copilot.invalid_tool_call'), function_name: function_name }, 'assistant_thinking')
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append_tool_response(I18n.t('captain.copilot.tool_not_available'), tool_call_id)
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end
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def append_tool_response(content, tool_call_id)
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@messages << {
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role: 'tool',
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tool_call_id: tool_call_id,
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content: content
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}
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# Must be implemented by including class to identify the feature for instrumentation.
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# Used for Langfuse tagging and span naming.
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def feature_name
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raise NotImplementedError, "#{self.class.name} must implement #feature_name"
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end
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def log_chat_completion_request
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83
enterprise/app/helpers/captain/tool_execution_helper.rb
Normal file
83
enterprise/app/helpers/captain/tool_execution_helper.rb
Normal file
@@ -0,0 +1,83 @@
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module Captain::ToolExecutionHelper
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private
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def handle_response(response)
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Rails.logger.debug { "#{self.class.name} Assistant: #{@assistant.id}, Received response #{response}" }
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message = response.dig('choices', 0, 'message')
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if message['tool_calls']
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process_tool_calls(message['tool_calls'])
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else
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message = JSON.parse(message['content'].strip)
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persist_message(message, 'assistant')
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message
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end
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end
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def process_tool_calls(tool_calls)
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append_tool_calls(tool_calls)
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tool_calls.each { |tool_call| process_tool_call(tool_call) }
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request_chat_completion
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end
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def process_tool_call(tool_call)
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arguments = JSON.parse(tool_call['function']['arguments'])
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function_name = tool_call['function']['name']
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tool_call_id = tool_call['id']
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if @tool_registry.respond_to?(function_name)
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execute_tool(function_name, arguments, tool_call_id)
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else
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process_invalid_tool_call(function_name, tool_call_id)
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end
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end
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def execute_tool(function_name, arguments, tool_call_id)
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persist_tool_status(function_name, 'captain.copilot.using_tool')
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result = perform_tool_call(function_name, arguments)
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persist_tool_status(function_name, 'captain.copilot.completed_tool_call')
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append_tool_response(result, tool_call_id)
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end
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def perform_tool_call(function_name, arguments)
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instrument_tool_call(function_name, arguments) do
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@tool_registry.send(function_name, arguments)
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end
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rescue StandardError => e
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Rails.logger.error "Tool #{function_name} failed: #{e.message}"
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"Error executing #{function_name}: #{e.message}"
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end
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def persist_tool_status(function_name, translation_key)
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persist_message(
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{
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content: I18n.t(translation_key, function_name: function_name),
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function_name: function_name
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},
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'assistant_thinking'
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)
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end
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def append_tool_calls(tool_calls)
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@messages << {
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role: 'assistant',
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tool_calls: tool_calls
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}
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end
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def process_invalid_tool_call(function_name, tool_call_id)
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persist_message(
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{ content: I18n.t('captain.copilot.invalid_tool_call'), function_name: function_name },
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'assistant_thinking'
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)
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append_tool_response(I18n.t('captain.copilot.tool_not_available'), tool_call_id)
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end
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def append_tool_response(content, tool_call_id)
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@messages << {
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role: 'tool',
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tool_call_id: tool_call_id,
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content: content
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}
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end
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end
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