commit

app.py

@@ -12,26 +12,26 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 # testing --------------------------------------------
 testing_mode = True
 questions_to_run = [
-    #"8e867cd7-cff9-4e6c-867a-ff5ddc2550be",     # not using tools
-    #"a1e91b78-d3d8-4675-bb8d-62741b4b68a6",     # (!)
+    #"8e867cd7-cff9-4e6c-867a-ff5ddc2550be",      # -        3, should be ok
+    #"a1e91b78-d3d8-4675-bb8d-62741b4b68a6",     # -        video
     #"2d83110e-a098-4ebb-9987-066c06fa42d0",     # OK
-    #"cca530fc-4052-43b2-b130-b30968d8aa44",     # OK, need to remove FINAL_ANSWER string
-    #"4fc2f1ae-8625-45b5-ab34-ad4433bc21f8",     # OK
-    #"6f37996b-2ac7-44b0-8e68-6d28256631b4",     # ??? don't understand the question
-    #"9d191bce-651d-4746-be2d-7ef8ecadb9c2",     # later
-    "cabe07ed-9eca-40ea-8ead-410ef5e83f91",      # <---
-    #"3cef3a44-215e-4aed-8e3b-b1e3f08063b7",
-    #"99c9cc74-fdc8-46c6-8f8d-3ce2d3bfeea3",
-    #"305ac316-eef6-4446-960a-92d80d542f82",
-    #"f918266a-b3e0-4914-865d-4faa564f1aef",
-    #"3f57289b-8c60-48be-bd80-01f8099ca449",
-    #"1f975693-876d-457b-a649-393859e79bf3",
-    #"840bfca7-4f7b-481a-8794-c560c340185d",
-    #"bda648d7-d618-4883-88f4-3466eabd860e",
-    #"cf106601-ab4f-4af9-b045-5295fe67b37d",
-    #"a0c07678-e491-4bbc-8f0b-07405144218f",
-    #"7bd855d8-463d-4ed5-93ca-5fe35145f733",
-    #"5a0c1adf-205e-4841-a666-7c3ef95def9d",
+    #"cca530fc-4052-43b2-b130-b30968d8aa44",     # OK
+    "4fc2f1ae-8625-45b5-ab34-ad4433bc21f8",     # -  FunkMonk, wrong answer https://en.wikipedia.org/wiki/Giganotosaurus
+    #"6f37996b-2ac7-44b0-8e68-6d28256631b4",     # -
+    #"9d191bce-651d-4746-be2d-7ef8ecadb9c2",     # -
+    #"cabe07ed-9eca-40ea-8ead-410ef5e83f91",     # -
+    #"3cef3a44-215e-4aed-8e3b-b1e3f08063b7",     # -
+    #"99c9cc74-fdc8-46c6-8f8d-3ce2d3bfeea3",    # -
+    #"305ac316-eef6-4446-960a-92d80d542f82",    # Hubert ?
+    #"f918266a-b3e0-4914-865d-4faa564f1aef",    # -
+    #"3f57289b-8c60-48be-bd80-01f8099ca449",    # 566 ?
+    #"1f975693-876d-457b-a649-393859e79bf3",    # -
+    #"840bfca7-4f7b-481a-8794-c560c340185d",    # 80NSSC20K0910 ?
+    #"bda648d7-d618-4883-88f4-3466eabd860e",    # Saint Petersburg ?
+    #"cf106601-ab4f-4af9-b045-5295fe67b37d",    # -
+    #"a0c07678-e491-4bbc-8f0b-07405144218f",    # -
+    #"7bd855d8-463d-4ed5-93ca-5fe35145f733",    # -
+    #"5a0c1adf-205e-4841-a666-7c3ef95def9d",    # Vladimir ?
 ]
 # testing --------------------------------------------
 

my_agent.py

@@ -26,6 +26,8 @@ class MyAgent:
     #MODEL_REASONING = "Qwen/Qwen2.5-Coder-32B-Instruct"
     #MODEL_REASONING = "deepseek-ai/DeepSeek-R1"
     MODEL_REASONING = "Qwen/Qwen3-235B-A22B"        # test more
+    #MODEL_REASONING = "Qwen/Qwen3-235B-A22B-Thinking-2507"
+    #MODEL_REASONING = "Qwen/Qwen3-235B-A22B-Thinking-2507-FP8"
     #MODEL_REASONING = "mistralai/Mixtral-8x22B-v0.1"    # not available via HuggingFace
     chess_board_model_name = "my_chess_pieces_recognition.pth"
     chess_board_model_dir = "/mnt/c/Users/krzsa/IdeaProjects/Agents-Course-Assignment/saved_models"
@@ -63,6 +65,8 @@ class MyAgent:
             name="CourseAssistant",
             description="General AI Assistant",
             tools=[
+                WebSearchTool(),
+                # -------
                 ImageLoadTool(),
                 ReverseStringTool(),
                 ChessBoard(self.chess_board_model_name, self.chess_board_model_dir),
@@ -70,13 +74,13 @@ class MyAgent:
                 ChessAnalysisTool(),
                 MyWikiPageSectionTool(),
                 MyWikiTableFilterTool(),
-                WebSearchTool(),
                 MyWikiFeaturedArticles(),
                 MyLibreTextsBookshelvesTool(),
                 MyLibreTextsBooksTool(),
                 MyLibreTextsBookSectionsTool(),
                 MyLibreTextsBookSectionParagraphsTool(),
                 MyLibreTextsParagraphContentsTool(),
+                # ---------
                 FinalAnswerTool(),
             ],
             model=self.model,
@@ -107,44 +111,6 @@ class MyAgent:
                 "my_base_libretexts_api"
             ],
         )
-        #web_search_agent = CodeAgent(
-        #    tools=[WebSearchTool()],
-        #    model=InferenceClientModel(model_id=self.MODEL_CODER),
-        #    name="agent_websearch",
-        #    description="Agent to browse and search and extract web content"
-        #)
-
-        # self.image_generation_tool = load_tool("m-ric/text-to-image", trust_remote_code=True)
-        #image_generation_tool = Tool.from_space(
-        #    "black-forest-labs/FLUX.1-schnell",
-        #    name="image_generator",
-        #    description="Generate an image from a prompt"
-        #)
-
-        #image_captioning_tool = Tool.from_space(
-        #    "ovi054/image-to-prompt",
-        #    name="image_captioning",
-        #    description="Generate description of an image"
-        #)
-
-        #image_loading_tool = ImageLoadTool()
-        #print(f"Image load tool: {image_loading_tool}")
-
-        #image_generation_agent = CodeAgent(
-        #    tools=[image_generation_tool],
-        #    model=InferenceClientModel(model_id=self.MODEL_CODER)
-        #)
-
-        # ImageLoadTool()
-        #self.reasoning_agent = CodeAgent(
-        #    #tools=[image_generation_tool, image_captioning_tool, ReverseStringTool(), image_loading_tool],
-        #    tools=[image_loading_tool, FinalAnswerTool()],
-        #    model=InferenceClientModel(model_id=self.MODEL_REASONING),
-        #    planning_interval=3, # This is where you activate planning!,
-        #    prompt_templates=PromptConfig().PROMPT_TEMPLATES,
-        #    managed_agents=[web_search_agent],
-        #    additional_authorized_imports=["PIL","chess","my_tools","my_tools."],
-        #)
         print(f"Main agent initialized: {self.reasoning_agent}")
 
     def __call__(self, question: str) -> str:

my_prompt_config.py

@@ -23,16 +23,15 @@ class MyPromptConfig:
             Decide and pick and use only tools which are necessary to answer the question asked.
             If the tool looks proper for the task, use it in the first place, instead of generating the code
             yourself to achieve the same task.
-            
-            * _my_tool_chess_analysis : analyze chess position provided as FEN notation
-            * _my_tool_chess_board : extract list of chess pieces from chess board image
-            * _my_tool_fen : convert list of chess pieces into FEN notation
+            Available tools:
             * _my_tool_image_load : load image of the chess board for given task_id
             * _my_tool_reverse_string : reverse provided string
+            * _my_tool_chess_board : extract list of chess pieces from chess board image
+            * _my_tool_fen : convert list of chess pieces into FEN notation
+            * _my_tool_chess_analysis : analyze chess position provided as FEN notation
             * _my_tool_wiki_page_section : get contents of a section of the Wikipedia page
             * _my_tool_wiki_table_filter : filter the subsection and tables on the Wikipedia page for provided years
-            * _my_tool_wiki_featured_articles : get nominator and summary information for Wikipedia featured articles 
-            for given month and year
+            * _my_tool_wiki_featured_articles : get nominator and summary information for Wikipedia featured articles for given month and year
             * _my_tool_libretexts_bookshelves : Get a list of bookshelves in LibreTexts library of chemistry materials
             * _my_tool_libretexts_books : Get a list of books in LibreTexts bookshelf
             * _my_tool_libretexts_book_sections : Get a list of sections in a book in LibreTexts materials
@@ -41,15 +40,6 @@ class MyPromptConfig:
             
             If the question mentions image or other file, use one of provided tools to load it
             using task_id associated with the question.
-            
-            YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of
-            numbers and/or strings.
-            If you are asked for a number, don’t use comma to write your number neither use units such as $ or percent
-            sign unless specified otherwise.
-            If you are asked for a string, don’t use articles, neither abbreviations (e.g. for cities), and write the digits in
-            plain text unless specified otherwise.
-            If you are asked for a comma separated list, apply the above rules depending of whether the element to be put
-            in the list is a number or a string.
         """,
         planning=PlanningPromptTemplate(
             initial_plan="""

my_tool_wiki_featured_articles.py

@@ -21,7 +21,7 @@ class MyWikiFeaturedArticles(Tool):
         Extracts a list of nominators and summaries of featured Wikipedia articles for the provided month and year
         To invoke the tool use code as below
         <code>
-        featured = _my_tool_wiki_featured_articles(month='January', year='2005')
+        featured_articles = _my_tool_wiki_featured_articles(month='January', year=2005)
         </code>
     """
 

my_tool_wiki_filter_tables.py

@@ -23,8 +23,7 @@ class MyWikiTableFilterTool(Tool):
         Extract contents of the page section for the provided a Wikipedia page
         To invoke the tool use code as below
         <code>
-        section_contents = _my_tool_wiki_table_filter(section_content='aaa', sub_section_name='bbb', 
-        year_start='1998', year_end='2005')
+        section_contents = _my_tool_wiki_table_filter(section_content='aaa', sub_section_name='bbb', year_start='1998', year_end='2005')
         </code>
     """