Tool Use

Add web search to a DeepSeek V3 agent on DeepInfra and stream synchronous and asynchronous responses.

Give a DeepSeek V3 agent on DeepInfra web search tools, then stream synchronous and asynchronous responses.

The preserved source selects meta-llama/Llama-2-70b-chat-hf. Use the currently documented DeepSeek V3 model and apply the substitution below before running. See DeepInfra tool calling.

tool_use.py
"""Run `uv pip install ddgs` to install dependencies."""

from agno.agent import Agent  # noqa
from agno.models.deepinfra import DeepInfra  # noqa
from agno.tools.websearch import WebSearchTools  # noqa
import asyncio

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

agent = Agent(
    model=DeepInfra(id="meta-llama/Llama-2-70b-chat-hf"),
    tools=[WebSearchTools()],
    markdown=True,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    # --- Sync + Streaming ---
    agent.print_response("Whats happening in France?", stream=True)

    # --- Async + Streaming ---
    asyncio.run(agent.aprint_response("What's the latest news about AI?", stream=True))

Run the Example

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate

Install dependencies

uv pip install -U agno ddgs openai

Export your DeepInfra API key

export DEEPINFRA_API_KEY="your_deepinfra_api_key_here"

Use a tool-capable DeepInfra model

Replace meta-llama/Llama-2-70b-chat-hf with deepseek-ai/DeepSeek-V3 in the saved file.

Run the example

Save the code above as tool_use.py, then run:

python tool_use.py

Full source: cookbook/90_models/deepinfra/tool_use.py