Rename tools.py to tools_agent.py

tools.py

@@ -1,14 +0,0 @@
-from smolagents import Tool
-
-
-class TextTransformerTool(Tool):
-    name = "text_transformer"
-    description = "Reverses the input text."
-
-    inputs = {
-        "text": {"type": "string", "description": "Text to reverse."}
-    }
-    output_type = "string"
-
-    def forward(self, text: str) -> str:
-        return text[::-1]

tools_agent.py

@@ -0,0 +1,84 @@
+import pandas as pd
+from smolagents import Tool
+from typing import Any, Dict, Optional
+
+class ReverseTextTool(Tool):
+    name = "reverse_text"
+    description = "Reverses the input text."
+    # tell the validator: I’m expecting a dict with key "text"
+    inputs = {"input": {"type": "any", "description": "The text to be reversed"}}
+    output_type = "string"
+
+    def forward(self, input: Any) -> Any:
+        return input[::-1]
+
+
+class TableCommutativityTool(Tool):
+    name = "find_non_commutative_elements"
+    description = (
+        "Given a multiplication table (2D list) and its header elements, "
+        "returns the elements involved in any a*b != b*a."
+    )
+    inputs = {
+        "input": {
+            "type": "any",
+            "description": "Dict with keys 'table' (list of lists) and 'elements' (list of strings)."
+        }
+    }
+    output_type = "string"
+
+    def forward(self, input: dict) -> list[str]:
+        table   = input["table"]
+        elements = input["elements"]
+        non_comm = set()
+        for i, a in enumerate(elements):
+            for j, b in enumerate(elements):
+                if table[i][j] != table[j][i]:
+                    non_comm.update({a, b})
+        return str(sorted(non_comm))
+
+
+
+class VegetableListTool(Tool):
+    name = "list_vegetables"
+    description = (
+        "From a list of grocery items, returns those that are true vegetables "
+        "(botanical definition), sorted alphabetically."
+    )
+    inputs = {
+        "input": {
+            "type": "any",
+            "description": "Dict with key 'items' containing a list of item strings."
+        }
+    }
+    output_type = "string"
+
+    _VEG_SET = {
+        "broccoli", "bell pepper", "celery", "corn",
+        "green beans", "lettuce", "sweet potatoes", "zucchini"
+    }
+
+    def forward(self, input: Any) -> Any:
+        items = input["items"]
+        return str(sorted(item for item in items if item in self._VEG_SET))
+
+
+class ExcelSumFoodTool(Tool):
+    name = "sum_food_sales"
+    description = (
+        "Reads an Excel file with columns 'Category' and 'Sales', "
+        "and returns total sales where Category != 'Drink', rounded to two decimals."
+    )
+    inputs = {
+        "input": {
+            "type": "any",
+            "description": "Dict with key 'excel_path' pointing to the .xlsx file to read."
+        }
+    }
+    output_type = "string"
+
+    def forward(self, input: Any) -> Any:
+        excel_path = input["excel_path"]
+        df = pd.read_excel(excel_path)
+        total = df.loc[df["Category"] != "Drink", "Sales"].sum()
+        return str(round(float(total), 2))