Add support for a Qwen3-VL model and handle OpenRouter 502 errors + update Qwen model in tests to use a more modern one

Author: aozherelyeva

integration-tests/src/jvmMain/kotlin/ai/koog/integration/tests/utils/annotations/RetryExtension.kt

@@ -19,6 +19,7 @@ class RetryExtension : InvocationInterceptor {
         private const val OPENAI_500_ERROR = "Error from OpenAI API: 500 Internal Server Error"
         private const val OPENAI_503_ERROR = "Error from OpenAI API: 503 Service Unavailable"
         private const val MISTRAL_503_ERROR = "Error from MistralAILLMClient API: 503 Service Unavailable"
+        private const val OPENROUTER_ERROR = "Error from client: OpenRouterLLMClient"
     }
 
     private fun isThirdPartyError(e: Throwable): Boolean {
@@ -32,6 +33,7 @@ class RetryExtension : InvocationInterceptor {
                 OPENAI_500_ERROR,
                 OPENAI_503_ERROR,
                 MISTRAL_503_ERROR,
+                OPENROUTER_ERROR,
             )
         return e.message?.let { message -> message in errorMessages } == true
     }

integration-tests/src/jvmTest/kotlin/ai/koog/integration/tests/utils/Models.kt

@@ -42,7 +42,7 @@ object Models {
     @JvmStatic
     fun openRouterModels(): Stream<LLModel> = Stream.of(
         OpenRouterModels.DeepSeekV30324,
-        OpenRouterModels.Qwen2_5,
+        OpenRouterModels.Qwen3VL,
     )
 
     @JvmStatic

prompt/prompt-executor/prompt-executor-clients/prompt-executor-openrouter-client/src/commonMain/kotlin/ai/koog/prompt/executor/clients/openrouter/OpenRouterModels.kt

@@ -429,8 +429,21 @@ public object OpenRouterModels : LLModelDefinitions {
     public val Qwen2_5: LLModel = LLModel(
         provider = LLMProvider.OpenRouter,
         id = "qwen/qwen-2.5-72b-instruct",
-        capabilities = standardCapabilities,
+        capabilities = standardCapabilities + additionalCapabilities,
         contextLength = 131_072,
         maxOutputTokens = 8_192,
     )
+
+    /**
+     * Qwen 3 model with 8B parameters from Alibaba.
+     * Multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding
+     * and reasoning across text, images, and video.
+     */
+    public val Qwen3VL: LLModel = LLModel(
+        provider = LLMProvider.OpenRouter,
+        id = "qwen/qwen3-vl-8b-instruct",
+        capabilities = multimodalCapabilities + additionalCapabilities,
+        contextLength = 131_072,
+        maxOutputTokens = 33_000,
+    )
 }