Plan Itinerary
Plan an itinerary using a native DeepSeek reasoning stage and an OpenAI response.
"""
Plan Itinerary
==============
Demonstrates this reasoning cookbook example.
"""
from agno.agent import Agent
from agno.models.deepseek import DeepSeek
from agno.models.openai import OpenAIChat
# ---------------------------------------------------------------------------
# Create Example
# ---------------------------------------------------------------------------
def run_example() -> None:
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
task = "Plan an itinerary from Los Angeles to Las Vegas"
reasoning_agent = Agent(
model=OpenAIChat(id="gpt-5.6-luna"),
reasoning_model=DeepSeek(id="deepseek-reasoner"),
markdown=True,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
reasoning_agent.print_response(task, stream=True)
# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------
if __name__ == "__main__":
run_example()DeepSeek retired the deepseek-reasoner alias after July 24, 2026. Before running this archived example, replace DeepSeek(id="deepseek-reasoner") with DeepSeek(id="deepseek-v4-flash") in the saved program. The main OpenAI model remains a separate call, so both provider keys are required. See the DeepSeek V4 migration notice.
Run the Example
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activateInstall dependencies
uv pip install -U agno openaiExport your API keys
export DEEPSEEK_API_KEY="your_deepseek_api_key_here"
export OPENAI_API_KEY="your_openai_api_key_here"Run the example
Save the code above as plan_itinerary.py, then run:
python plan_itinerary.pyFull source: cookbook/10_reasoning/models/deepseek/plan_itinerary.py