tool_use.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your DeepSeek API key
4
Run the example
Save the code above as
tool_use.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
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Answer news questions with a DeepSeek V4 Flash agent using web search tools.
"""Run `uv pip install ddgs` to install dependencies."""
import asyncio
from agno.agent import Agent
from agno.models.deepseek import DeepSeek
from agno.tools.websearch import WebSearchTools
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
"""
DeepSeek V4 models support tool calls in both thinking and non-thinking modes.
"""
agent = Agent(
model=DeepSeek(id="deepseek-v4-flash"),
tools=[WebSearchTools()],
markdown=True,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
# --- Sync ---
agent.print_response("Whats happening in France?")
# --- Async + Streaming ---
asyncio.run(agent.aprint_response("Whats happening in France?", stream=True))
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno ddgs openai
Export your DeepSeek API key
export DEEPSEEK_API_KEY="your_deepseek_api_key_here"
$Env:DEEPSEEK_API_KEY="your_deepseek_api_key_here"
Run the example
tool_use.py, then run:python tool_use.py
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