finance_agent.py
"""
Reasoning Finance Agent
=======================
Demonstrates built-in and DeepSeek-backed reasoning for financial reporting.
"""
from agno.agent import Agent
from agno.models.deepseek import DeepSeek
from agno.models.openai import OpenAIChat
from agno.tools.yfinance import YFinanceTools
# ---------------------------------------------------------------------------
# Create Agents
# ---------------------------------------------------------------------------
cot_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
tools=[YFinanceTools()],
instructions="Use tables to display data",
use_json_mode=True,
reasoning=True,
markdown=True,
)
deepseek_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
tools=[YFinanceTools()],
instructions=["Use tables where possible"],
reasoning_model=DeepSeek(id="deepseek-reasoner"),
markdown=True,
)
# ---------------------------------------------------------------------------
# Run Agents
# ---------------------------------------------------------------------------
if __name__ == "__main__":
prompt = "Write a report comparing NVDA to TSLA"
print("=== Built-in Chain Of Thought ===")
cot_agent.print_response(prompt, stream=True, show_full_reasoning=True)
print("\n=== DeepSeek Reasoning Model ===")
deepseek_agent.print_response(prompt, stream=True, show_full_reasoning=True)
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno openai yfinance
3
Export your API keys
export DEEPSEEK_API_KEY="your_deepseek_api_key_here"
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:DEEPSEEK_API_KEY="your_deepseek_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run the example
Save the code above as
finance_agent.py, then run:python finance_agent.py