Upload agent

agent.json

@@ -1,12 +1,18 @@
 {
     "class": "CodeAgent",
     "tools": [
+        "web_search",
+        "visit_webpage",
+        "suggest_menu",
+        "catering_service_tool",
+        "superhero_party_theme_generator",
         "final_answer"
     ],
     "model": {
-        "class": "InferenceClientModel",
+        "class": "LiteLLMRouterModel",
         "data": {
-            "model_id": "Qwen/Qwen3-Next-80B-A3B-Thinking"
+            "model_id": "main",
+            "api_base": null
         }
     },
     "managed_agents": {},
@@ -26,12 +32,15 @@
             "post_messages": "Based on the above, please provide an answer to the following user task:\n{{task}}"
         }
     },
-    "max_steps": 20,
-    "verbosity_level": 1,
+    "max_steps": 10,
+    "verbosity_level": 2,
     "planning_interval": null,
     "name": null,
     "description": null,
     "requirements": [
+        "ddgs",
+        "markdownify",
+        "requests",
         "smolagents"
     ],
     "authorized_imports": [

app.py

@@ -1,18 +1,29 @@
 import yaml
 import os
-from smolagents import GradioUI, CodeAgent, InferenceClientModel
+from smolagents import GradioUI, CodeAgent, LiteLLMRouterModel
 
 # Get current directory path
 CURRENT_DIR = os.path.dirname(os.path.abspath(__file__))
 
+from tools.web_search import DuckDuckGoSearchTool as WebSearch
+from tools.visit_webpage import VisitWebpageTool as VisitWebpage
+from tools.suggest_menu import SimpleTool as SuggestMenu
+from tools.catering_service_tool import SimpleTool as CateringServiceTool
+from tools.superhero_party_theme_generator import SuperheroPartyThemeTool as SuperheroPartyThemeGenerator
 from tools.final_answer import FinalAnswerTool as FinalAnswer
 
 
 
-model = InferenceClientModel(
-model_id='Qwen/Qwen3-Next-80B-A3B-Thinking',
+model = LiteLLMRouterModel(
+model_id='main',
+api_base=None,
 )
 
+web_search = WebSearch()
+visit_webpage = VisitWebpage()
+suggest_menu = SuggestMenu()
+catering_service_tool = CateringServiceTool()
+superhero_party_theme_generator = SuperheroPartyThemeGenerator()
 final_answer = FinalAnswer()
 
 
@@ -21,10 +32,10 @@ with open(os.path.join(CURRENT_DIR, "prompts.yaml"), 'r') as stream:
 
 agent = CodeAgent(
     model=model,
-    tools=[],
+    tools=[web_search, visit_webpage, suggest_menu, catering_service_tool, superhero_party_theme_generator],
     managed_agents=[],
-    max_steps=20,
-    verbosity_level=1,
+    max_steps=10,
+    verbosity_level=2,
     planning_interval=None,
     name=None,
     description=None,

requirements.txt

@@ -1 +1,4 @@
+ddgs
+markdownify
+requests
 smolagents

tools/catering_service_tool.py

@@ -0,0 +1,27 @@
+from smolagents import Tool
+from typing import Any, Optional
+
+class SimpleTool(Tool):
+    name = "catering_service_tool"
+    description = "This tool returns the highest-rated catering service in Gotham City."
+    inputs = {'query': {'type': 'string', 'description': 'A search term for finding catering services.'}}
+    output_type = "string"
+
+    def forward(self, query: str) -> str:
+        """
+        This tool returns the highest-rated catering service in Gotham City.
+
+        Args:
+            query: A search term for finding catering services.
+        """
+        # Example list of catering services and their ratings
+        services = {
+            "Gotham Catering Co.": 4.9,
+            "Wayne Manor Catering": 4.8,
+            "Gotham City Events": 4.7,
+        }
+
+        # Find the highest rated catering service (simulating search query filtering)
+        best_service = max(services, key=services.get)
+
+        return best_service

tools/suggest_menu.py

@@ -0,0 +1,23 @@
+from smolagents import Tool
+from typing import Any, Optional
+
+class SimpleTool(Tool):
+    name = "suggest_menu"
+    description = "Suggests a menu based on the occasion."
+    inputs = {'occasion': {'type': 'string', 'description': 'The type of occasion for the party.'}}
+    output_type = "string"
+
+    def forward(self, occasion: str) -> str:
+        """
+        Suggests a menu based on the occasion.
+        Args:
+            occasion: The type of occasion for the party.
+        """
+        if occasion == "casual":
+            return "Pizza, snacks, and drinks."
+        elif occasion == "formal":
+            return "3-course dinner with wine and dessert."
+        elif occasion == "superhero":
+            return "Buffet with high-energy and healthy food."
+        else:
+            return "Custom menu for the butler."

tools/superhero_party_theme_generator.py

@@ -0,0 +1,22 @@
+from typing import Any, Optional
+from smolagents.tools import Tool
+
+class SuperheroPartyThemeTool(Tool):
+    name = "superhero_party_theme_generator"
+    description = """
+    This tool suggests creative superhero-themed party ideas based on a category.
+    It returns a unique party theme idea."""
+    inputs = {'category': {'type': 'string', 'description': "The type of superhero party (e.g., 'classic heroes', 'villain masquerade', 'futuristic Gotham')."}}
+    output_type = "string"
+
+    def forward(self, category: str):
+        themes = {
+            "classic heroes": "Justice League Gala: Guests come dressed as their favorite DC heroes with themed cocktails like 'The Kryptonite Punch'.",
+            "villain masquerade": "Gotham Rogues' Ball: A mysterious masquerade where guests dress as classic Batman villains.",
+            "futuristic gotham": "Neo-Gotham Night: A cyberpunk-style party inspired by Batman Beyond, with neon decorations and futuristic gadgets."
+        }
+
+        return themes.get(category.lower(), "Themed party idea not found. Try 'classic heroes', 'villain masquerade', or 'futuristic Gotham'.")
+
+    def __init__(self, *args, **kwargs):
+        self.is_initialized = False

tools/visit_webpage.py

@@ -0,0 +1,53 @@
+from typing import Any, Optional
+from smolagents.tools import Tool
+import markdownify
+import re
+import requests
+
+class VisitWebpageTool(Tool):
+    name = "visit_webpage"
+    description = "Visits a webpage at the given url and reads its content as a markdown string. Use this to browse webpages."
+    inputs = {'url': {'type': 'string', 'description': 'The url of the webpage to visit.'}}
+    output_type = "string"
+
+    def __init__(self, max_output_length: int = 40000):
+        super().__init__()
+        self.max_output_length = max_output_length
+
+    def _truncate_content(self, content: str, max_length: int) -> str:
+        if len(content) <= max_length:
+            return content
+        return (
+            content[:max_length] + f"\n..._This content has been truncated to stay below {max_length} characters_...\n"
+        )
+
+    def forward(self, url: str) -> str:
+        try:
+            import re
+
+            import requests
+            from markdownify import markdownify
+            from requests.exceptions import RequestException
+        except ImportError as e:
+            raise ImportError(
+                "You must install packages `markdownify` and `requests` to run this tool: for instance run `pip install markdownify requests`."
+            ) from e
+        try:
+            # Send a GET request to the URL with a 20-second timeout
+            response = requests.get(url, timeout=20)
+            response.raise_for_status()  # Raise an exception for bad status codes
+
+            # Convert the HTML content to Markdown
+            markdown_content = markdownify(response.text).strip()
+
+            # Remove multiple line breaks
+            markdown_content = re.sub(r"\n{3,}", "\n\n", markdown_content)
+
+            return self._truncate_content(markdown_content, self.max_output_length)
+
+        except requests.exceptions.Timeout:
+            return "The request timed out. Please try again later or check the URL."
+        except RequestException as e:
+            return f"Error fetching the webpage: {str(e)}"
+        except Exception as e:
+            return f"An unexpected error occurred: {str(e)}"

tools/web_search.py

@@ -0,0 +1,60 @@
+from typing import Any, Optional
+from smolagents.tools import Tool
+import time
+import ddgs
+
+class DuckDuckGoSearchTool(Tool):
+    """Web search tool that performs searches using the DuckDuckGo search engine.
+
+    Args:
+        max_results (`int`, default `10`): Maximum number of search results to return.
+        rate_limit (`float`, default `1.0`): Maximum queries per second. Set to `None` to disable rate limiting.
+        **kwargs: Additional keyword arguments for the `DDGS` client.
+
+    Examples:
+        ```python
+        >>> from smolagents import DuckDuckGoSearchTool
+        >>> web_search_tool = DuckDuckGoSearchTool(max_results=5, rate_limit=2.0)
+        >>> results = web_search_tool("Hugging Face")
+        >>> print(results)
+        ```
+    """
+    name = "web_search"
+    description = "Performs a duckduckgo web search based on your query (think a Google search) then returns the top search results."
+    inputs = {'query': {'type': 'string', 'description': 'The search query to perform.'}}
+    output_type = "string"
+
+    def __init__(self, max_results: int = 10, rate_limit: float | None = 1.0, **kwargs):
+        super().__init__()
+        self.max_results = max_results
+        self.rate_limit = rate_limit
+        self._min_interval = 1.0 / rate_limit if rate_limit else 0.0
+        self._last_request_time = 0.0
+        try:
+            from ddgs import DDGS
+        except ImportError as e:
+            raise ImportError(
+                "You must install package `ddgs` to run this tool: for instance run `pip install ddgs`."
+            ) from e
+        self.ddgs = DDGS(**kwargs)
+
+    def forward(self, query: str) -> str:
+        self._enforce_rate_limit()
+        results = self.ddgs.text(query, max_results=self.max_results)
+        if len(results) == 0:
+            raise Exception("No results found! Try a less restrictive/shorter query.")
+        postprocessed_results = [f"[{result['title']}]({result['href']})\n{result['body']}" for result in results]
+        return "## Search Results\n\n" + "\n\n".join(postprocessed_results)
+
+    def _enforce_rate_limit(self) -> None:
+        import time
+
+        # No rate limit enforced
+        if not self.rate_limit:
+            return
+
+        now = time.time()
+        elapsed = now - self._last_request_time
+        if elapsed < self._min_interval:
+            time.sleep(self._min_interval - elapsed)
+        self._last_request_time = time.time()