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agent-framework/python/packages/ollama/getting_started/ollama_agent_basic.py
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Nico Möller 2f06fe557a Python : Ollama Connector for Agent Framework (#1104)
* Initial Commit for Olama Connector

* Added Olama Sample

* Add Sample & Fixed Open Telemetry

* Fixed Spelling from Olama to Ollama

* remove"opentelemetry-semantic-conventions-ai ~=0.4.13" since its handled in a different pr

* Added Tool Calling

* Finalizing test cases

* Adjust samples to be more reliable

* Update python/packages/ollama/agent_framework_ollama/_chat_client.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/packages/ollama/pyproject.toml

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/packages/ollama/tests/test_ollama_chat_client.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/packages/ollama/agent_framework_ollama/_chat_client.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Improved Docstrings & Sample

* Update python/packages/ollama/agent_framework_ollama/_chat_client.py

Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>

* Integrate PR Feedback
- Divided Streaming and Non-Streaming into independent Methods
- Catch Ollama Validation Error
- Add OTEL Provider Name
- Checked Ollama Messages
- Add Usage Statistics

* Revert setting, so it can be none

* Validate Message formatting between AF and Ollama

* Catch Ollama Error and raise a ServiceResponse Error

* Fix mypy error

* remove .vscode comma

* Add Reasoning support & adjust to new structure

* Add Ollama Multimodality and Reasoning

* Add test cases for reasoning

* Add Tests for Error Handling in Ollama Client

* Update python/samples/getting_started/multimodal_input/ollama_chat_multimodal.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Integrated Copilot Feedback

* Implement first PR Feedback

* Adjust Readme files for examples

* Adjust argument passing via additional chat options

* Implemented PR Feedback

* Removing Ollama Package from Core and moving samples

* Fix Link & Adding Samples to Main Sample Readme

* Fixing Links in Readme

* Moved Multimodal and Chat Example

* Fixed Link in ChatClient to Ollama

* Fix AgentFramework Links in Ollama Project

* Fix observability breaking change

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
2025-12-16 15:02:38 +00:00

69 lines
2.0 KiB
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())