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Documentation Index

Fetch the complete documentation index at: https://docs-v1.agno.com/llms.txt

Use this file to discover all available pages before exploring further.

This example demonstrates tool usage with LangDB AI Gateway. For detailed integration instructions, see the LangDB Agno documentation.

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Code

cookbook/models/langdb/research_agent.py
from agno.agent import Agent
from agno.models.langdb import LangDB
from agno.tools.duckduckgo import DuckDuckGoTools

agent = Agent(
    model=LangDB(id="gpt-4o-mini"),
    tools=[
        DuckDuckGoTools(
            search=True, news=True
        )
    ],
    show_tool_calls=True,
    description="You are a research analyst that investigates topics and helps users find comprehensive information.",
    instructions=["Use tables to display data where possible."],
    markdown=True,
)

agent.print_response("What are the latest developments in AI technology?", stream=True)

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Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Set your API key

export LANGDB_API_KEY=xxx
export LANGDB_PROJECT_ID=xxx
3

Install libraries

pip install -U ddgs agno
4

Run Agent

python cookbook/models/langdb/finance_agent.py