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DeepSeek models including the DeepSeek-Reasoner for complex reasoning tasks. 
from agno.agent import Agent
from agno.models.deepseek import DeepSeek

agent = Agent(
    model=DeepSeek(id="deepseek-chat"),
    markdown=True,
)

agent.print_response("Explain transformer architecture", stream=True)

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Tool Use

from agno.agent import Agent
from agno.models.deepseek import DeepSeek
from agno.tools.yfinance import YFinanceTools

agent = Agent(
    model=DeepSeek(id="deepseek-chat"),
    tools=[YFinanceTools(stock_price=True)],
    markdown=True,
)

agent.print_response("What's AAPL's stock price?", stream=True)

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Reasoning

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

agent = Agent(
    model=DeepSeek(id="deepseek-reasoner"),
    markdown=True,
)

agent.print_response(
    "A bat and ball cost $1.10. The bat costs $1 more than the ball. How much does the ball cost?",
    stream=True,
)

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Structured Output

from pydantic import BaseModel, Field
from agno.agent import Agent
from agno.models.deepseek import DeepSeek

class Analysis(BaseModel):
    summary: str = Field(..., description="Brief summary")
    key_points: list[str] = Field(..., description="Key points")

agent = Agent(
    model=DeepSeek(id="deepseek-chat"),
    output_schema=Analysis,
)

agent.print_response("Analyze the benefits of reasoning models")

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Run Examples

export DEEPSEEK_API_KEY=xxx

git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/92_models/deepseek

python basic.py
python reasoning_agent.py
python tool_use.py