Documentation IndexFetch the complete documentation index at: /llms.txtUse this file to discover all available pages before exploring further.
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
"""Build a Web Search Agent using xAI.""" from agno.agent import Agent from agno.models.vllm import VLLM from agno.tools.hackernews import HackerNewsTools agent = Agent( model=VLLM( id="NousResearch/Nous-Hermes-2-Mistral-7B-DPO", top_k=20, enable_thinking=False ), tools=[HackerNewsTools()], markdown=True, ) agent.print_response("Whats happening in France?")
Set up your virtual environment
uv venv --python 3.12 source .venv/bin/activate
Install Libraries
uv pip install -U agno openai vllm
Start vLLM server
vllm serve NousResearch/Nous-Hermes-2-Mistral-7B-DPO \ --enable-auto-tool-choice \ --tool-call-parser hermes \ --dtype float16 \ --max-model-len 8192 \ --gpu-memory-utilization 0.9
Run Agent
python cookbook/11_models/vllm/tool_use.py
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