Documentation IndexFetch the complete documentation index at: /llms.txtUse this file to discover all available pages before exploring further.
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Run a LangDB agent in sync and streaming modes.
from agno.agent import Agent, RunOutput # noqa from agno.models.langdb import LangDB agent = Agent(model=LangDB(id="llama3-1-70b-instruct-v1.0"), markdown=True) # Get the response in a variable # run: RunOutput = agent.run("Share a 2 sentence horror story") # print(run.content) if __name__ == "__main__": # --- Sync --- agent.print_response("Share a 2 sentence horror story") # --- Sync + Streaming --- agent.print_response("Share a 2 sentence horror story", 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 agno
Run Agent
basic.py
python basic.py
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