​
Code

cookbook/models/lmstudio/basic_stream.py
from typing import Iterator  # noqa
from agno.agent import Agent, RunResponse  # noqa
from agno.models.lmstudio import LMStudio

agent = Agent(model=LMStudio(id="qwen2.5-7b-instruct-1m"), markdown=True)

# Get the response in a variable
# run_response: Iterator[RunResponse] = agent.run("Share a 2 sentence horror story", stream=True)
# for chunk in run_response:
#     print(chunk.content)

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

​
Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.

python3 -m venv .venv
source .venv/bin/activate
2

Install LM Studio

Install LM Studio from here and download the model you want to use.

3

Install libraries

bash pip install -U agno
4

Run Agent

python cookbook/models/lmstudio/basic_stream.py

​
Code

cookbook/models/lmstudio/basic_stream.py
from typing import Iterator  # noqa
from agno.agent import Agent, RunResponse  # noqa
from agno.models.lmstudio import LMStudio

agent = Agent(model=LMStudio(id="qwen2.5-7b-instruct-1m"), markdown=True)

# Get the response in a variable
# run_response: Iterator[RunResponse] = agent.run("Share a 2 sentence horror story", stream=True)
# for chunk in run_response:
#     print(chunk.content)

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

​
Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.

python3 -m venv .venv
source .venv/bin/activate
2

Install LM Studio

Install LM Studio from here and download the model you want to use.

3

Install libraries

bash pip install -U agno
4

Run Agent

python cookbook/models/lmstudio/basic_stream.py