Code
basic.py
Usage
1
Set up your virtual environment
2
Set your API keys
3
Install dependencies
4
Run Agent
Save the code above as
basic.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Stream a Portkey agent’s response to the terminal.
import os
from agno.agent import Agent
from agno.models.portkey import Portkey
agent = Agent(
model=Portkey(
id="@first-integrati-707071/gpt-5-nano",
portkey_api_key=os.getenv("PORTKEY_API_KEY"),
),
markdown=True,
)
# Print the response in the terminal
agent.print_response(
"What is Portkey and why would I use it as an AI gateway?", stream=True
)
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Set your API keys
export PORTKEY_API_KEY=***
export PORTKEY_VIRTUAL_KEY=***
Install dependencies
uv pip install -U portkey-ai openai agno
Run Agent
basic.py, then run:python basic.py
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