Agno

import braintrust
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.yfinance import YFinanceTools

braintrust.init_logger(project="simple-agent-project")  # Replace with your project name
braintrust.auto_instrument()

# Create and configure the agent
agent = Agent(
    name="Stock Price Agent",
    model=OpenAIChat(id="gpt-5-mini"),
    tools=[YFinanceTools()],
    instructions="You are a stock price agent. Answer questions in the style of a stock analyst.",
)

response = agent.run("What is the current price of AAPL?")
print(response.content)

import braintrust
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.workflow import Workflow

braintrust.init_logger(project="workflow-project")  # Replace with your project name
braintrust.auto_instrument()

author_agent = Agent(
    name="Author Agent",
    model=OpenAIChat(id="gpt-5-mini"),
    instructions="Answer with only the author's name.",
)

workflow = Workflow(
    name="Book lookup workflow",
    steps=[author_agent],
)

response = workflow.run("Who wrote Charlotte's Web?")
print(response.content)

import braintrust
from agno.agent import Agent
from agno.eval.accuracy import AccuracyEval
from agno.models.openai import OpenAIChat
from agno.tools.yfinance import YFinanceTools

braintrust.init_logger(project="agno-evals-project")  # Replace with your project name
braintrust.auto_instrument()

agent = Agent(
    name="Stock Price Agent",
    model=OpenAIChat(id="gpt-5-mini"),
    tools=[YFinanceTools()],
    instructions="You are a stock price agent. Answer with the ticker and nothing else.",
)

evaluation = AccuracyEval(
    name="Ticker Lookup",
    model=OpenAIChat(id="gpt-5-mini"),
    agent=agent,
    input="Which ticker does Figma trade under?",
    expected_output="FIG",
    num_iterations=2,
)

result = evaluation.run(print_summary=True)