Fix overwriting content with only last element

src/llm/apis/openai_completions.cpp

@@ -201,8 +201,7 @@ absl::Status OpenAIChatCompletionsHandler::parseMessages(std::optional<std::stri
                     return absl::InvalidArgumentError("Invalid message structure - content array is empty");
                 }
                 jsonChanged = true;
-                Value contentText(rapidjson::kStringType);
-                contentText.SetString("", doc.GetAllocator());
+                std::string combinedText;
                 for (auto& v : member->value.GetArray()) {
                     if (!v.IsObject()) {
                         return absl::InvalidArgumentError("Invalid message structure - content array should contain objects");
@@ -216,7 +215,10 @@ absl::Status OpenAIChatCompletionsHandler::parseMessages(std::optional<std::stri
                         if (!entry.HasMember("text") || !entry["text"].IsString()) {
                             return absl::InvalidArgumentError("Invalid message structure - content text missing");
                         }
-                        contentText = entry["text"];
+                        if (!combinedText.empty()) {
+                            combinedText += "\n";
+                        }
+                        combinedText.append(entry["text"].GetString(), entry["text"].GetStringLength());
                         continue;
                     } else if (entryType == std::string("image_url")) {
                         if (!entry.HasMember("image_url") || !entry["image_url"].IsObject()) {
@@ -236,8 +238,10 @@ absl::Status OpenAIChatCompletionsHandler::parseMessages(std::optional<std::stri
                         return absl::InvalidArgumentError("Unsupported content type");
                     }
                 }
-                // Pulling out text from nested structure to the "content" field for text and replace whole "content" value for image data
-                // with empty string, since images are stored separately in request.images
+                // Flatten all text parts (joined with newlines) into the "content" field.
+                // Images are stored separately in request.imageHistory.
+                Value contentText(rapidjson::kStringType);
+                contentText.SetString(combinedText.c_str(), combinedText.length(), doc.GetAllocator());
                 member->value = contentText;
                 // Add new field to the last message in history if content is text
                 if (member->value.IsString()) {

src/test/http_openai_handler_test.cpp

@@ -2278,6 +2278,75 @@ TEST_F(HttpOpenAIHandlerParsingTest, ParsingMessagesEmptyContentArrayFails) {
     EXPECT_EQ(apiHandler->parseMessages(), absl::InvalidArgumentError("Invalid message structure - content array is empty"));
 }
 
+TEST_F(HttpOpenAIHandlerParsingTest, ParsingMessagesMultipleTextItemsConcatenatesWithNewline) {
+    std::string json = R"({
+    "model": "llama",
+    "messages": [
+      {
+        "role": "user",
+        "content": [
+          {
+            "type": "text",
+            "text": "First part."
+          },
+          {
+            "type": "text",
+            "text": "Second part."
+          }
+        ]
+      }
+    ]
+  })";
+    doc.Parse(json.c_str());
+    ASSERT_FALSE(doc.HasParseError());
+    std::shared_ptr<ovms::OpenAIChatCompletionsHandler> apiHandler = std::make_shared<ovms::OpenAIChatCompletionsHandler>(doc, ovms::Endpoint::CHAT_COMPLETIONS, std::chrono::system_clock::now(), *tokenizer);
+    ASSERT_EQ(apiHandler->parseMessages(), absl::OkStatus());
+    // Non-Python path: chatHistory content is the concatenated string
+    auto& chatHistory = apiHandler->getChatHistory();
+    ASSERT_EQ(chatHistory.size(), 1);
+    EXPECT_EQ(chatHistory[0]["content"], "First part.\nSecond part.");
+    // Python Jinja path: processedJson carries the same flattened content for applyChatTemplate
+    EXPECT_EQ(apiHandler->getProcessedJson(), R"({"model":"llama","messages":[{"role":"user","content":"First part.\nSecond part."}]})");
+}
+
+TEST_F(HttpOpenAIHandlerParsingTest, ParsingMessagesTextBeforeAndAfterImageConcatenatesAllText) {
+    std::string json = R"({
+    "model": "llama",
+    "messages": [
+      {
+        "role": "user",
+        "content": [
+          {
+            "type": "text",
+            "text": "Before image."
+          },
+          {
+            "type": "image_url",
+            "image_url": {
+              "url": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAIAAACQd1PeAAAAEElEQVR4nGLK27oAEAAA//8DYAHGgEvy5AAAAABJRU5ErkJggg=="
+            }
+          },
+          {
+            "type": "text",
+            "text": "After image."
+          }
+        ]
+      }
+    ]
+  })";
+    doc.Parse(json.c_str());
+    ASSERT_FALSE(doc.HasParseError());
+    std::shared_ptr<ovms::OpenAIChatCompletionsHandler> apiHandler = std::make_shared<ovms::OpenAIChatCompletionsHandler>(doc, ovms::Endpoint::CHAT_COMPLETIONS, std::chrono::system_clock::now(), *tokenizer);
+    ASSERT_EQ(apiHandler->parseMessages(), absl::OkStatus());
+    // Non-Python path: chatHistory content is the concatenated string
+    auto& chatHistory = apiHandler->getChatHistory();
+    ASSERT_EQ(chatHistory.size(), 1);
+    EXPECT_EQ(chatHistory[0]["content"], "Before image.\nAfter image.");
+    EXPECT_EQ(apiHandler->getImageHistory().size(), 1);
+    // Python Jinja path: processedJson carries the same flattened content for applyChatTemplate
+    EXPECT_EQ(apiHandler->getProcessedJson(), R"({"model":"llama","messages":[{"role":"user","content":"Before image.\nAfter image."}]})");
+}
+
 TEST_F(HttpOpenAIHandlerParsingTest, maxTokensValueDefaultToMaxTokensLimit) {
     std::string json = R"({
     "model": "llama",