Documentation Index
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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.
from typing import Iterator
from agno.agent import Agent, RunResponse
from agno.models.openai import OpenAIChat
from agno.tools.dalle import DalleTools
from agno.utils.common import dataclass_to_dict
from rich.pretty import pprint
image_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
tools=[DalleTools()],
description="You are an AI agent that can create images using DALL-E.",
instructions=[
"When the user asks you to create an image, use the DALL-E tool to create an image.",
"The DALL-E tool will return an image URL.",
"Return the image URL in your response in the following format: ``",
],
markdown=True,
)
run_stream: Iterator[RunResponse] = image_agent.run(
"Create an image of a yellow siamese cat",
stream=True,
stream_intermediate_steps=True,
)
for chunk in run_stream:
pprint(dataclass_to_dict(chunk, exclude={"messages"}))
print("---" * 20)
Create a virtual environment
Terminal and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
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