Code
web_search.py
Usage
1
Set up your virtual environment
2
Export environment variables
3
Install dependencies
4
Run Agent
Save the code above as
web_search.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Give a LangDB agent web search tools.
from agno.agent import Agent
from agno.models.langdb import LangDB
from agno.tools.websearch import WebSearchTools
agent = Agent(
model=LangDB(id="llama3-1-70b-instruct-v1.0"),
tools=[WebSearchTools()],
markdown=True,
)
agent.print_response("What's 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
Export environment variables
export LANGDB_API_KEY="your_langdb_api_key"
export LANGDB_PROJECT_ID="your_langdb_project_id"
export LANGDB_API_BASE_URL="https://api.langdb.ai"
Install dependencies
uv pip install -U openai ddgs agno
Run Agent
web_search.py, then run:python web_search.py
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