Update model examples to use new clean format with praisonaiagents.Agent

Author: Dhivya-Bharathy

examples/python/models/googlegemini/any-llm-agents-async.py

@@ -1,18 +1,12 @@
 import asyncio
 from praisonaiagents import Agent
 
-async def main():
-    agent = Agent(
-        instructions="You are a helpful assistant",
-        llm="gemini/gemini-1.5-flash-8b",
-        self_reflect=True,
-        verbose=True
-    )
+agent = Agent(
+    instructions="You are a helpful assistant",
+    llm="gemini/gemini-1.5-flash-8b",
+    self_reflect=True,
+    verbose=True
+)
 
-    # Use achat instead of start/chat for async operation
-    response = await agent.achat("Why sky is Blue in 1000 words?")
-    print(response)
-
-if __name__ == "__main__":
-    # Run the async main function
-    asyncio.run(main())
+# Use achat instead of start/chat for async operation
+response = asyncio.run(agent.achat("Why sky is Blue in 1000 words?"))

examples/python/models/grok/grok_basic_example.py

@@ -2,44 +2,29 @@
 Basic example of using Grok model in PraisonAI
 """
 
-from praisonai import PraisonAI
+from praisonaiagents import Agent
 
-def main():
-    # Initialize PraisonAI with Grok model
-    praison = PraisonAI(
-        model="grok",
-        api_key="your-grok-api-key-here"  # Replace with your actual Grok API key
-    )
-    
-    # Create a simple agent
-    agent = praison.create_agent(
-        name="Grok Agent",
-        description="A basic agent using Grok model"
-    )
-    
-    # Example conversation
-    response = agent.run("Hello! Can you explain quantum computing in simple terms?")
-    print("Agent Response:", response)
-    
-    # Example with mathematical reasoning
-    math_task = """
-    Solve this problem step by step:
-    If a train travels at 60 mph for 2.5 hours, how far does it travel?
-    """
-    
-    response = agent.run(math_task)
-    print("\nMath Task Response:")
-    print(response)
-    
-    # Example with creative writing
-    creative_task = """
-    Write a short story about a robot learning to paint.
-    Make it engaging and about 100 words.
-    """
-    
-    response = agent.run(creative_task)
-    print("\nCreative Task Response:")
-    print(response)
+# Initialize Agent with Grok model
+agent = Agent(
+    instructions="You are a helpful assistant",
+    llm="xai/grok-beta",
+)
 
-if __name__ == "__main__":
-    main() 
+# Example conversation
+response = agent.start("Hello! Can you explain quantum computing in simple terms?")
+
+# Example with mathematical reasoning
+math_task = """
+Solve this problem step by step:
+If a train travels at 60 mph for 2.5 hours, how far does it travel?
+"""
+
+response = agent.start(math_task)
+
+# Example with creative writing
+creative_task = """
+Write a short story about a robot learning to paint.
+Make it engaging and about 100 words.
+"""
+
+response = agent.start(creative_task)