DynamoDb class.
Usage
Set theAWS_REGION, AWS_ACCESS_KEY_ID, and AWS_SECRET_ACCESS_KEY environment variables, or pass region_name, aws_access_key_id, and aws_secret_access_key to the DynamoDb class.
Install dependencies:
uv pip install agno boto3 openai ddgs
dynamo_for_workflow.py
from agno.agent import Agent
from agno.db.dynamo import DynamoDb
from agno.models.openai import OpenAIResponses
from agno.team import Team
from agno.tools.hackernews import HackerNewsTools
from agno.tools.websearch import WebSearchTools
from agno.workflow.step import Step
from agno.workflow.workflow import Workflow
db = DynamoDb()
# Define agents
hackernews_agent = Agent(
name="HackerNews Agent",
model=OpenAIResponses(id="gpt-5.2"),
tools=[HackerNewsTools()],
role="Extract key insights and content from HackerNews posts",
)
web_agent = Agent(
name="Web Agent",
model=OpenAIResponses(id="gpt-5.2"),
tools=[WebSearchTools()],
role="Search the web for the latest news and trends",
)
# Define research team for complex analysis
research_team = Team(
name="Research Team",
members=[hackernews_agent, web_agent],
instructions="Research tech topics from HackerNews and the web",
)
content_planner = Agent(
name="Content Planner",
model=OpenAIResponses(id="gpt-5.2"),
instructions=[
"Plan a content schedule over 4 weeks for the provided topic and research content",
"Ensure there are 3 posts per week",
],
)
# Define steps
research_step = Step(
name="Research Step",
team=research_team,
)
content_planning_step = Step(
name="Content Planning Step",
agent=content_planner,
)
# Create and use workflow
if __name__ == "__main__":
content_creation_workflow = Workflow(
name="Content Creation Workflow",
description="Automated content creation from blog posts to social media",
db=db,
steps=[research_step, content_planning_step],
)
content_creation_workflow.print_response(
input="AI trends in 2024",
markdown=True,
)
Params
| Parameter | Type | Default | Description |
|---|---|---|---|
id | Optional[str] | - | The ID of the database instance. UUID by default. |
db_client | Optional[Any] | - | The DynamoDB client to use. |
region_name | Optional[str] | - | AWS region name. |
aws_access_key_id | Optional[str] | - | AWS access key ID. |
aws_secret_access_key | Optional[str] | - | AWS secret access key. |
session_table | Optional[str] | - | The name of the session table. |
memory_table | Optional[str] | - | The name of the memory table. |
metrics_table | Optional[str] | - | The name of the metrics table. |
eval_table | Optional[str] | - | The name of the eval table. |
knowledge_table | Optional[str] | - | The name of the knowledge table. |
culture_table | Optional[str] | - | The name of the cultural knowledge table. |
traces_table | Optional[str] | - | The name of the traces table. |
spans_table | Optional[str] | - | The name of the spans table. |