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This example demonstrates how to use LangDB AI Gateway with Agno for basic text generation. For detailed integration instructions, see the LangDB Agno documentation.

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Code

cookbook/models/langdb/basic.py
from agno.agent import Agent, RunResponse  # noqa
from agno.models.langdb import LangDB

agent = Agent(
    model=LangDB(id="deepseek-chat", project_id="langdb-project-id"), markdown=True
)

# Get the response in a variable
# run: RunResponse = agent.run("Share a 2 sentence horror story")
# print(run.content)

# Print the response in the terminal
agent.print_response("Share a 2 sentence horror story")

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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 agno
4

Run Agent

python cookbook/models/langdb/basic.py