Basic Usage

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

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")

Usage

Create a virtual environment

Open the Terminal and create a python virtual environment.

python3 -m venv .venv
source .venv/bin/activate

python3 -m venv .venv
.venv/scripts/activate

Set your API key

export LANGDB_API_KEY=xxx
export LANGDB_PROJECT_ID=xxx

Install libraries

pip install -U agno

Run Agent

python cookbook/models/langdb/basic.py

python cookbook/models/langdb/basic.py

Image Agent Streaming Agent

Examples

Agent Concepts

Models

Basic Usage

Code

Usage

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​Usage

Code

Usage