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.
from typing import Iterator # noqa from agno.agent import Agent, RunResponse # noqa from agno.models.aws import AwsBedrock agent = Agent( model=AwsBedrock(id="mistral.mistral-large-2402-v1:0"), markdown=True ) # 在变量中获取响应 # run_response: Iterator[RunResponse] = agent.run("写一个2句的恐怖故事", stream=True) # for chunk in run_response: # print(chunk.content) # 在终端打印响应 agent.print_response("写一个2句的恐怖故事", stream=True)
创建虚拟环境
Terminal
python3 -m venv .venv source .venv/bin/activate
设置您的 AWS 凭证
export AWS_ACCESS_KEY_ID=*** export AWS_SECRET_ACCESS_KEY=*** export AWS_REGION=***
安装库
pip install -U boto3 agno
运行代理
python cookbook/models/aws/bedrock/basic_stream.py