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agent-framework/python/packages/ollama/getting_started/ollama_agent_basic.py
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Python

# Copyright (c) Microsoft. All rights reserved.
import asyncio
from datetime import datetime
from agent_framework_ollama import OllamaChatClient
"""
Ollama Agent Basic Example
This sample demonstrates implementing a Ollama agent with basic tool usage.
Ensure to install Ollama and have a model running locally before running the sample
Not all Models support function calling, to test function calling try llama3.2 or qwen3:4b
Set the model to use via the OLLAMA_CHAT_MODEL_ID environment variable or modify the code below.
https://ollama.com/
"""
def get_time(location: str) -> str:
"""Get the current time."""
return f"The current time in {location} is {datetime.now().strftime('%I:%M %p')}."
async def non_streaming_example() -> None:
"""Example of non-streaming response (get the complete result at once)."""
print("=== Non-streaming Response Example ===")
agent = OllamaChatClient().create_agent(
name="TimeAgent",
instructions="You are a helpful time agent answer in one sentence.",
tools=get_time,
)
query = "What time is it in Seattle? Use a tool call"
print(f"User: {query}")
result = await agent.run(query)
print(f"Result: {result}\n")
async def streaming_example() -> None:
"""Example of streaming response (get results as they are generated)."""
print("=== Streaming Response Example ===")
agent = OllamaChatClient().create_agent(
name="TimeAgent",
instructions="You are a helpful time agent answer in one sentence.",
tools=get_time,
)
query = "What time is it in San Francisco? Use a tool call"
print(f"User: {query}")
print("Agent: ", end="", flush=True)
async for chunk in agent.run_stream(query):
if chunk.text:
print(chunk.text, end="", flush=True)
print("\n")
async def main() -> None:
print("=== Basic Ollama Chat Client Agent Example ===")
await non_streaming_example()
await streaming_example()
if __name__ == "__main__":
asyncio.run(main())