Agno

import os
from dotenv import load_dotenv

# Load environment variables
load_dotenv()


from agno.agent import Agent
from agno.team import Team
from agno.models.openai import OpenAIChat

# Initialize AgentOps
import agentops
agentops.init(api_key=os.getenv("AGENTOPS_API_KEY"))

# Create and run an agent
agent = Agent(
    name="Assistant",
    role="Helpful AI assistant",
    model=OpenAIChat(id="gpt-4o-mini")
)

response = agent.run("What are the key benefits of AI agents?")
print(response.content)

import agentops
from agno.agent import Agent
from agno.team import Team
from agno.models.openai import OpenAIChat

# Initialize AgentOps - this enables automatic tracking
agentops.init(api_key=os.getenv("AGENTOPS_API_KEY"))

# Create agents - automatically tracked by AgentOps
agent = Agent(
    name="Assistant",
    role="Helpful AI assistant",
    model=OpenAIChat(id="gpt-4o-mini")
)

# Create teams - coordination automatically tracked
team = Team(
    name="Research Team", 
    mode="coordinate", 
    members=[agent]
)

# All operations are automatically logged to AgentOps
response = team.run("Analyze the current AI market trends")
print(response.content)