1
Add the following code to your Python file
vercel_reasoning_tools.py
2
Set up your virtual environment
3
Install dependencies
4
Export your V0 API key
5
Run Agent
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Pair Vercel’s V0 model with ReasoningTools and WebSearchTools to research and write a report on TSLA.
Add the following code to your Python file
from agno.agent import Agent
from agno.models.vercel import V0
from agno.tools.reasoning import ReasoningTools
from agno.tools.websearch import WebSearchTools
reasoning_agent = Agent(
model=V0(id="v0-1.0-md"),
tools=[
ReasoningTools(add_instructions=True, add_few_shot=True),
WebSearchTools(),
],
instructions=[
"Use tables to display data",
"Only output the report, no other text",
],
markdown=True,
)
reasoning_agent.print_response(
"Write a report on TSLA",
stream=True,
show_full_reasoning=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 openai ddgs
Export your V0 API key
export V0_API_KEY="your_v0_api_key_here"
$Env:V0_API_KEY="your_v0_api_key_here"
Run Agent
python vercel_reasoning_tools.py
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