Examples
- Examples
- Getting Started
- Agents
- Teams
- Workflows
- Applications
- FastAPI
- WhatsApp
- Slack
- Playground
- AG-UI
- Streamlit Apps
- Evals
Agent Concepts
- Reasoning
- Multimodal
- RAG
- User Control Flows
- Knowledge
- Memory
- Async
- Hybrid Search
- Storage
- Tools
- Vector Databases
- Context
- Embedders
- Agent State
- Observability
- Miscellaneous
Models
- Anthropic
- AWS Bedrock
- AWS Bedrock Claude
- Azure AI Foundry
- Azure OpenAI
- Cerebras
- Cerebras OpenAI
- Cohere
- DeepInfra
- DeepSeek
- Fireworks
- Gemini
- Groq
- Hugging Face
- IBM
- LM Studio
- LiteLLM
- LiteLLM OpenAI
- Meta
- Mistral
- NVIDIA
- Ollama
- OpenAI
- Perplexity
- Together
- XAI
- Vercel
Playground
Basic
Code
cookbook/apps/playground/basic.py
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from agno.agent import Agent
from agno.memory.agent import AgentMemory
from agno.memory.db.postgres import PgMemoryDb
from agno.models.openai import OpenAIChat
from agno.playground import Playground
from agno.storage.agent.sqlite import SqliteAgentStorage
from agno.storage.postgres import PostgresStorage
agent_storage_file: str = "tmp/agents.db"
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
basic_agent = Agent(
name="Basic Agent",
model=OpenAIChat(id="gpt-4o"),
memory=AgentMemory(
db=PgMemoryDb(
table_name="agent_memory",
db_url=db_url,
),
# Create and store personalized memories for this user
create_user_memories=True,
# Update memories for the user after each run
update_user_memories_after_run=True,
# Create and store session summaries
create_session_summary=True,
# Update session summaries after each run
update_session_summary_after_run=True,
),
storage=PostgresStorage(
table_name="agent_sessions", db_url=db_url, auto_upgrade_schema=True
),
add_history_to_messages=True,
num_history_responses=3,
add_datetime_to_instructions=True,
markdown=True,
)
playground = Playground(
agents=[
basic_agent,
],
name="Basic Agent",
description="A playground for basic agent",
app_id="basic-agent",
)
app = playground.get_app()
if __name__ == "__main__":
playground.serve(app="basic:app", reload=True)
Usage
1
Create a virtual environment
Open the Terminal
and create a python virtual environment.
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python3 -m venv .venv
source .venv/bin/activate
2
Set your API key
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export OPENAI_API_KEY=xxx
3
Install libraries
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pip install -U agno "uvicorn[standard]" openai psycopg-binary
4
Run Agent
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python cookbook/apps/playground/basic.py
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