Removed query image tool.

tools/new_tools.py

@@ -38,73 +38,7 @@ class WikiSearchTool(Tool):
             return f"wiki_search failed {e}"
 
 
-class QueryImageTool(Tool):
-    name = "query_image"
-    description = (
-        "Analyze an image with a VLM given a natural language query and an image URL. "
-        "Args: query (str), image_url (str). Returns: textual response."
-    )
-    inputs = {
-        "query": {
-            "type": "string",
-            "description": "Question or instruction about the image."
-        },
-        "image_url": {
-            "type": "string",
-            "description": "Public URL of the image to analyze."
-        },
-    }
-    output_type = "string"
-
-    def forward(self, query: str, image_url: str) -> str:
-        try:
-            model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
-                "Qwen/Qwen2.5-VL-3B-Instruct", torch_dtype="auto", device_map="auto"
-            )
-
-            processor = AutoProcessor.from_pretrained("Qwen/Qwen2.5-VL-3B-Instruct")
-
-            messages = [
-                {
-                    "role": "user",
-                    "content": [
-                        {
-                            "type": "image",
-                            "image": image_url,
-                            "max_pixels": 360 * 420,
-                        },
-                        {"type": "text", "text": query},
-                    ],
-                }
-            ]
-
-            text = processor.apply_chat_template(
-                messages, tokenize=False, add_generation_prompt=True
-            )
-            image_inputs, video_inputs = process_vision_info(messages)
-            inputs = processor(
-                text=[text],
-                images=image_inputs,
-                videos=video_inputs,
-                padding=True,
-                return_tensors="pt",
-            )
-            inputs = inputs.to("cuda")
-
-            generated_ids = model.generate(**inputs, max_new_tokens=128)
-            generated_ids_trimmed = [
-                out_ids[len(in_ids):] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)
-            ]
-            output_text = processor.batch_decode(
-                generated_ids_trimmed,
-                skip_special_tokens=True,
-                clean_up_tokenization_spaces=False,
-            )
-            # original function returned a list; keep or cast to str as you prefer
-            return output_text[0] if isinstance(output_text, list) else output_text
-        except Exception as e:
-            return f"query_image failed {e}"
-
+c
 
 class ReverseStringTool(Tool):
     name = "reverse_string"