added moralis sdk to get wallet activity

app.py

@@ -1,22 +1,98 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
 import datetime
+from typing import Any
 import requests
 import pytz
+import os
 import yaml
+from web3 import Web3, AsyncWeb3
 from tools.final_answer import FinalAnswerTool
-
+from moralis import evm_api
 from Gradio_UI import GradioUI
 
+
+VALID_NETWORKS = ["eth", "base", "bsc", "gnosis"]
+MAX_TOKENS_CONTEXT = 2096
+
+
 # Below is an example of a tool that does nothing. Amaze us with your creativity !
+def process_wallet_activity(activity_data):
+    """Process and summarize wallet activity data to reduce token size
+    Args:
+        activity_data: Raw activity data from Moralis API
+    Returns:
+        dict: Summarized activity data
+    """
+    summary = {
+        'total_transactions': len(activity_data['result']),
+        'tokens': {},
+        'date_range': {
+            'from': None,
+            'to': None
+        }
+    }
+    
+    for tx in activity_data['result']:
+        token_symbol = tx['token_symbol']
+        if token_symbol not in summary['tokens']:
+            summary['tokens'][token_symbol] = {
+                'count': 0,
+                'total_value': 0,
+                'token_name': tx['token_name'],
+                'token_decimals': tx['token_decimals'],
+                'verified': tx['verified_contract'],
+                'security_score': tx['security_score']
+            }
+        
+        summary['tokens'][token_symbol]['count'] += 1
+        summary['tokens'][token_symbol]['total_value'] += float(tx['value_decimal'] or 0)
+        
+        tx_date = tx['block_timestamp']
+        if not summary['date_range']['from'] or tx_date < summary['date_range']['from']:
+            summary['date_range']['from'] = tx_date
+        if not summary['date_range']['to'] or tx_date > summary['date_range']['to']:
+            summary['date_range']['to'] = tx_date
+    
+    return summary
+
 @tool
-def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
-    #Keep this format for the description / args / args description but feel free to modify the tool
-    """A tool that does nothing yet 
+def get_wallet_activity(
+    address: str, network: str = "eth"
+) -> dict[str, Any]:  
+    """A tool that gets the tokens transactions of ERC20 of a wallet in a specific blockchain network and returns detailed information.
+    The returned data includes:
+    - total_transactions: Total number of transactions
+    - tokens: Dictionary with token details including:
+        - count: Number of transactions for this token
+        - total_value: Total value transferred
+        - token_name: Full name of the token
+        - token_decimals: Number of decimals for the token
+        - verified: Whether the token contract is verified
+        - security_score: Security score of the token if available
+    - date_range: Time range of the transactions
+    
     Args:
-        arg1: the first argument
-        arg2: the second argument
+        address: the address of the wallet
+        network: the blockchain network to get the activity from (default: eth) valid options: "eth", "base", "bsc", "gnosis"
+    Returns:
+        dict: Detailed wallet activity information that can be analyzed to understand the wallet's behavior
     """
-    return "What magic will you build ?"
+    params = {
+        "address": address,
+        "chain": network,
+        "order": "DESC",
+        "limit": 50 # free models have a low context window
+    }
+
+    api_key = os.getenv("MORALIS_API_KEY")
+    result = evm_api.token.get_wallet_token_transfers(
+        api_key=api_key,
+        params=params,
+    )
+    
+    # Process and return the detailed data for the LLM to analyze
+    return process_wallet_activity(result)
+
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
@@ -37,33 +113,37 @@ def get_current_time_in_timezone(timezone: str) -> str:
 final_answer = FinalAnswerTool()
 
 # If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
-# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 
+# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
+
+# Get environment variables - works both locally and in Hugging Face Spaces
+os.environ["HF_TOKEN"] = os.getenv("HF_TOKEN")
+
 
 model = HfApiModel(
-max_tokens=2096,
-temperature=0.5,
-model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
-custom_role_conversions=None,
+    max_tokens=MAX_TOKENS_CONTEXT,
+    temperature=0.5,
+    model_id="Qwen/Qwen2.5-Coder-32B-Instruct",  # it is possible that this model may be overloaded
+    custom_role_conversions=None,
 )
 
 
 # Import tool from Hub
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
-with open("prompts.yaml", 'r') as stream:
+with open("prompts.yaml", "r") as stream:
     prompt_templates = yaml.safe_load(stream)
-    
+
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[final_answer, get_wallet_activity, get_current_time_in_timezone],  ## add your tools here (don't remove final answer)
     max_steps=6,
     verbosity_level=1,
     grammar=None,
     planning_interval=None,
     name=None,
     description=None,
-    prompt_templates=prompt_templates
+    prompt_templates=prompt_templates,
 )
 
 
-GradioUI(agent).launch()
+GradioUI(agent).launch()