Documentation Index
Fetch the complete documentation index at: https://agno-v2-shaloo-ai-support-link.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Create a Python file
import asyncio
from agno.client import AgentOSClient
from agno.run.agent import RunCompletedEvent, RunContentEvent
async def run_agent_non_streaming():
"""Execute a non-streaming agent run."""
print("=" * 60)
print("Non-Streaming Agent Run")
print("=" * 60)
client = AgentOSClient(base_url="http://localhost:7777")
# Get available agents
config = await client.aget_config()
if not config.agents:
print("No agents available")
return
agent_id = config.agents[0].id
print(f"Running agent: {agent_id}")
# Execute the agent
result = await client.run_agent(
agent_id=agent_id,
message="What is 2 + 2? Explain your answer briefly.",
)
print(f"\nRun ID: {result.run_id}")
print(f"Content: {result.content}")
print(f"Tokens: {result.metrics.total_tokens if result.metrics else 'N/A'}")
async def run_agent_streaming():
"""Execute a streaming agent run."""
print("\n" + "=" * 60)
print("Streaming Agent Run")
print("=" * 60)
client = AgentOSClient(base_url="http://localhost:7777")
# Get available agents
config = await client.aget_config()
if not config.agents:
print("No agents available")
return
agent_id = config.agents[0].id
print(f"Streaming from agent: {agent_id}")
print("\nResponse: ", end="", flush=True)
async for event in client.run_agent_stream(
agent_id=agent_id,
message="Tell me a short joke.",
):
if isinstance(event, RunContentEvent):
print(event.content, end="", flush=True)
elif isinstance(event, RunCompletedEvent):
pass
print("\n")
async def main():
await run_agent_non_streaming()
await run_agent_streaming()
if __name__ == "__main__":
asyncio.run(main())
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
Install dependencies
uv pip install -U agno openai
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
