Deepseek Reasoning Effort

from agno.agent import Agent
from agno.models.deepseek import DeepSeek

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

agent = Agent(
    model=DeepSeek(id="deepseek-v4-pro", reasoning_effort="max"),
    markdown=True,
)

task = (
    "A farmer needs to cross a river with a fox, a chicken and a sack of grain. "
    "The boat only fits the farmer and one item. The fox cannot be left alone with "
    "the chicken, and the chicken cannot be left alone with the grain. "
    "Provide a step-by-step solution."
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response(task, stream=True, show_full_reasoning=True)

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/90_models/deepseek

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

python reasoning_effort.py