Langchain::Assistant when using OpenAI accepts a message with image_url

CHANGELOG.md

@@ -1,4 +1,5 @@
 ## [Unreleased]
+- Assistant can now process image_urls in the messages (currently only for OpenAI)
 
 ## [0.16.1] - 2024-09-30
 - Deprecate Langchain::LLM::GooglePalm

README.md

@@ -501,6 +501,12 @@ assistant = Langchain::Assistant.new(
 # Add a user message and run the assistant
 assistant.add_message_and_run!(content: "What's the latest news about AI?")
 
+# Supply an image to the assistant
+assistant.add_message_and_run!(
+  content: "Show me a picture of a cat",
+  image: "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
+)
+
 # Access the conversation thread
 messages = assistant.messages
 

lib/langchain/assistants/assistant.rb

@@ -63,13 +63,14 @@ def initialize(
 
     # Add a user message to the messages array
     #
-    # @param content [String] The content of the message
     # @param role [String] The role attribute of the message. Default: "user"
+    # @param content [String] The content of the message
+    # @param image_url [String] The URL of the image to include in the message
     # @param tool_calls [Array<Hash>] The tool calls to include in the message
     # @param tool_call_id [String] The ID of the tool call to include in the message
     # @return [Array<Langchain::Message>] The messages
-    def add_message(content: nil, role: "user", tool_calls: [], tool_call_id: nil)
-      message = build_message(role: role, content: content, tool_calls: tool_calls, tool_call_id: tool_call_id)
+    def add_message(role: "user", content: nil, image_url: nil, tool_calls: [], tool_call_id: nil)
+      message = build_message(role: role, content: content, image_url: image_url, tool_calls: tool_calls, tool_call_id: tool_call_id)
 
       # Call the callback with the message
       add_message_callback.call(message) if add_message_callback # rubocop:disable Style/SafeNavigation
@@ -145,17 +146,17 @@ def run!
     # @param content [String] The content of the message
     # @param auto_tool_execution [Boolean] Whether or not to automatically run tools
     # @return [Array<Langchain::Message>] The messages
-    def add_message_and_run(content:, auto_tool_execution: false)
-      add_message(content: content, role: "user")
+    def add_message_and_run(content: nil, image_url: nil, auto_tool_execution: false)
+      add_message(content: content, image_url: image_url, role: "user")
       run(auto_tool_execution: auto_tool_execution)
     end
 
     # Add a user message and run the assistant with automatic tool execution
     #
     # @param content [String] The content of the message
     # @return [Array<Langchain::Message>] The messages
-    def add_message_and_run!(content:)
-      add_message_and_run(content: content, auto_tool_execution: true)
+    def add_message_and_run!(content: nil, image_url: nil)
+      add_message_and_run(content: content, image_url: image_url, auto_tool_execution: true)
     end
 
     # Submit tool output
@@ -388,11 +389,12 @@ def run_tools(tool_calls)
     #
     # @param role [String] The role of the message
     # @param content [String] The content of the message
+    # @param image_url [String] The URL of the image to include in the message
     # @param tool_calls [Array<Hash>] The tool calls to include in the message
     # @param tool_call_id [String] The ID of the tool call to include in the message
     # @return [Langchain::Message] The Message object
-    def build_message(role:, content: nil, tool_calls: [], tool_call_id: nil)
-      @llm_adapter.build_message(role: role, content: content, tool_calls: tool_calls, tool_call_id: tool_call_id)
+    def build_message(role:, content: nil, image_url: nil, tool_calls: [], tool_call_id: nil)
+      @llm_adapter.build_message(role: role, content: content, image_url: image_url, tool_calls: tool_calls, tool_call_id: tool_call_id)
     end
 
     # Increment the tokens count based on the last interaction with the LLM
@@ -443,7 +445,7 @@ def extract_tool_call_args(tool_call:)
             raise NotImplementedError, "Subclasses must implement extract_tool_call_args"
           end
 
-          def build_message(role:, content: nil, tool_calls: [], tool_call_id: nil)
+          def build_message(role:, content: nil, image_url: nil, tool_calls: [], tool_call_id: nil)
             raise NotImplementedError, "Subclasses must implement build_message"
           end
         end
@@ -457,7 +459,9 @@ def build_chat_params(tools:, instructions:, messages:, tool_choice:)
             params
           end
 
-          def build_message(role:, content: nil, tool_calls: [], tool_call_id: nil)
+          def build_message(role:, content: nil, image_url: nil, tool_calls: [], tool_call_id: nil)
+            warn "Image URL is not supported by Ollama currently" if image_url
+
             Langchain::Messages::OllamaMessage.new(role: role, content: content, tool_calls: tool_calls, tool_call_id: tool_call_id)
           end
 
@@ -506,8 +510,8 @@ def build_chat_params(tools:, instructions:, messages:, tool_choice:)
             params
           end
 
-          def build_message(role:, content: nil, tool_calls: [], tool_call_id: nil)
-            Langchain::Messages::OpenAIMessage.new(role: role, content: content, tool_calls: tool_calls, tool_call_id: tool_call_id)
+          def build_message(role:, content: nil, image_url: nil, tool_calls: [], tool_call_id: nil)
+            Langchain::Messages::OpenAIMessage.new(role: role, content: content, image_url: image_url, tool_calls: tool_calls, tool_call_id: tool_call_id)
           end
 
           # Extract the tool call information from the OpenAI tool call hash
@@ -564,7 +568,9 @@ def build_chat_params(tools:, instructions:, messages:, tool_choice:)
             params
           end
 
-          def build_message(role:, content: nil, tool_calls: [], tool_call_id: nil)
+          def build_message(role:, content: nil, image_url: nil, tool_calls: [], tool_call_id: nil)
+            warn "Image URL is not supported by MistralAI currently" if image_url
+
             Langchain::Messages::MistralAIMessage.new(role: role, content: content, tool_calls: tool_calls, tool_call_id: tool_call_id)
           end
 
@@ -623,7 +629,9 @@ def build_chat_params(tools:, instructions:, messages:, tool_choice:)
             params
           end
 
-          def build_message(role:, content: nil, tool_calls: [], tool_call_id: nil)
+          def build_message(role:, content: nil, image_url: nil, tool_calls: [], tool_call_id: nil)
+            warn "Image URL is not supported by Google Gemini" if image_url
+
             Langchain::Messages::GoogleGeminiMessage.new(role: role, content: content, tool_calls: tool_calls, tool_call_id: tool_call_id)
           end
 
@@ -676,7 +684,9 @@ def build_chat_params(tools:, instructions:, messages:, tool_choice:)
             params
           end
 
-          def build_message(role:, content: nil, tool_calls: [], tool_call_id: nil)
+          def build_message(role:, content: nil, image_url: nil, tool_calls: [], tool_call_id: nil)
+            warn "Image URL is not supported by Anthropic currently" if image_url
+
             Langchain::Messages::AnthropicMessage.new(role: role, content: content, tool_calls: tool_calls, tool_call_id: tool_call_id)
           end
 

lib/langchain/assistants/messages/base.rb

@@ -3,7 +3,11 @@
 module Langchain
   module Messages
     class Base
-      attr_reader :role, :content, :tool_calls, :tool_call_id
+      attr_reader :role,
+        :content,
+        :image_url,
+        :tool_calls,
+        :tool_call_id
 
       # Check if the message came from a user
       #

lib/langchain/assistants/messages/openai_message.rb

@@ -15,17 +15,25 @@ class OpenAIMessage < Base
 
       # Initialize a new OpenAI message
       #
-      # @param [String] The role of the message
-      # @param [String] The content of the message
-      # @param [Array<Hash>] The tool calls made in the message
-      # @param [String] The ID of the tool call
-      def initialize(role:, content: nil, tool_calls: [], tool_call_id: nil) # TODO: Implement image_file: reference (https://platform.openai.com/docs/api-reference/messages/object#messages/object-content)
+      # @param role [String] The role of the message
+      # @param content [String] The content of the message
+      # @param image_url [String] The URL of the image
+      # @param tool_calls [Array<Hash>] The tool calls made in the message
+      # @param tool_call_id [String] The ID of the tool call
+      def initialize(
+        role:,
+        content: nil,
+        image_url: nil,
+        tool_calls: [],
+        tool_call_id: nil
+      )
         raise ArgumentError, "Role must be one of #{ROLES.join(", ")}" unless ROLES.include?(role)
         raise ArgumentError, "Tool calls must be an array of hashes" unless tool_calls.is_a?(Array) && tool_calls.all? { |tool_call| tool_call.is_a?(Hash) }
 
         @role = role
         # Some Tools return content as a JSON hence `.to_s`
         @content = content.to_s
+        @image_url = image_url
         @tool_calls = tool_calls
         @tool_call_id = tool_call_id
       end
@@ -43,9 +51,30 @@ def llm?
       def to_hash
         {}.tap do |h|
           h[:role] = role
-          h[:content] = content if content # Content is nil for tool calls
-          h[:tool_calls] = tool_calls if tool_calls.any?
-          h[:tool_call_id] = tool_call_id if tool_call_id
+
+          if tool_calls.any?
+            h[:tool_calls] = tool_calls
+          else
+            h[:tool_call_id] = tool_call_id if tool_call_id
+
+            h[:content] = []
+
+            if content && !content.empty?
+              h[:content] << {
+                type: "text",
+                text: content
+              }
+            end
+
+            if image_url
+              h[:content] << {
+                type: "image_url",
+                image_url: {
+                  url: image_url
+                }
+              }
+            end
+          end
         end
       end
 

spec/langchain/assistants/assistant_spec.rb

@@ -87,6 +87,19 @@
         expect(subject.messages.first.content).to eq("hello")
       end
 
+      it "adds a message with image_url" do
+        message_with_image = {role: "user", content: "hello", image_url: "https://example.com/image.jpg"}
+        subject = described_class.new(llm: llm, messages: [])
+
+        expect {
+          subject.add_message(**message_with_image)
+        }.to change { subject.messages.count }.from(0).to(1)
+        expect(subject.messages.first).to be_a(Langchain::Messages::OpenAIMessage)
+        expect(subject.messages.first.role).to eq("user")
+        expect(subject.messages.first.content).to eq("hello")
+        expect(subject.messages.first.image_url).to eq("https://example.com/image.jpg")
+      end
+
       it "calls the add_message_callback with the message" do
         callback = double("callback", call: true)
         subject = described_class.new(llm: llm, messages: [], add_message_callback: callback)
@@ -211,8 +224,8 @@
           allow(subject.llm).to receive(:chat)
             .with(
               messages: [
-                {role: "system", content: instructions},
-                {role: "user", content: "Please calculate 2+2"}
+                {role: "system", content: [{type: "text", text: instructions}]},
+                {role: "user", content: [{type: "text", text: "Please calculate 2+2"}]}
               ],
               tools: calculator.class.function_schemas.to_openai_format,
               tool_choice: "auto"
@@ -255,16 +268,16 @@
           allow(subject.llm).to receive(:chat)
             .with(
               messages: [
-                {role: "system", content: instructions},
-                {role: "user", content: "Please calculate 2+2"},
-                {role: "assistant", content: "", tool_calls: [
+                {role: "system", content: [{type: "text", text: instructions}]},
+                {role: "user", content: [{type: "text", text: "Please calculate 2+2"}]},
+                {role: "assistant", tool_calls: [
                   {
                     "function" => {"arguments" => "{\"input\":\"2+2\"}", "name" => "langchain_tool_calculator__execute"},
                     "id" => "call_9TewGANaaIjzY31UCpAAGLeV",
                     "type" => "function"
                   }
                 ]},
-                {content: "4.0", role: "tool", tool_call_id: "call_9TewGANaaIjzY31UCpAAGLeV"}
+                {content: [{type: "text", text: "4.0"}], role: "tool", tool_call_id: "call_9TewGANaaIjzY31UCpAAGLeV"}
               ],
               tools: calculator.class.function_schemas.to_openai_format,
               tool_choice: "auto"

spec/langchain/assistants/messages/openai_message_spec.rb

@@ -10,15 +10,15 @@
       let(:message) { described_class.new(role: "user", content: "Hello, world!", tool_calls: [], tool_call_id: nil) }
 
       it "returns a hash with the role and content key" do
-        expect(message.to_hash).to eq({role: "user", content: "Hello, world!"})
+        expect(message.to_hash).to eq({role: "user", content: [{type: "text", text: "Hello, world!"}]})
       end
     end
 
     context "when tool_call_id is not nil" do
       let(:message) { described_class.new(role: "tool", content: "Hello, world!", tool_calls: [], tool_call_id: "123") }
 
       it "returns a hash with the tool_call_id key" do
-        expect(message.to_hash).to eq({role: "tool", content: "Hello, world!", tool_call_id: "123"})
+        expect(message.to_hash).to eq({role: "tool", content: [{type: "text", text: "Hello, world!"}], tool_call_id: "123"})
       end
     end
 
@@ -29,10 +29,24 @@
          "function" => {"name" => "weather__execute", "arguments" => "{\"input\":\"Saint Petersburg\"}"}}
       }
 
-      let(:message) { described_class.new(role: "assistant", content: "", tool_calls: [tool_call], tool_call_id: nil) }
+      let(:message) { described_class.new(role: "assistant", tool_calls: [tool_call], tool_call_id: nil) }
 
       it "returns a hash with the tool_calls key" do
-        expect(message.to_hash).to eq({role: "assistant", content: "", tool_calls: [tool_call]})
+        expect(message.to_hash).to eq({role: "assistant", tool_calls: [tool_call]})
+      end
+    end
+
+    context "when image_url is present" do
+      let(:message) { described_class.new(role: "user", content: "Please describe this image", image_url: "https://example.com/image.jpg") }
+
+      it "returns a hash with the image_url key" do
+        expect(message.to_hash).to eq({
+          role: "user",
+          content: [
+            {type: "text", text: "Please describe this image"},
+            {type: "image_url", image_url: {url: "https://example.com/image.jpg"}}
+          ]
+        })
       end
     end
   end