Python: Added Ollama example using OpenAIChatClient (#1100)

* Added Ollama example using OpenAIChatClient

* Small improvement

python/.env.example

@@ -21,6 +21,9 @@ COPILOTSTUDIOAGENT__AGENTAPPID=""
 # Anthropic
 ANTHROPIC_API_KEY=""
 ANTHROPIC_MODEL=""
+# Ollama
+OLLAMA_ENDPOINT=""
+OLLAMA_MODEL=""
 # Observability
 ENABLE_OTEL=true
 ENABLE_SENSITIVE_DATA=true

python/samples/getting_started/agents/anthropic/README.md

@@ -1,6 +1,6 @@
 # Anthropic Examples
 
-This folder contains examples demonstrating how to use Anthropic's Claude models with the Agent Framework through the OpenAI Chat Client interface.
+This folder contains examples demonstrating how to use Anthropic's Claude models with the Agent Framework.
 
 ## Examples
 

python/samples/getting_started/agents/ollama/README.md

@@ -0,0 +1,30 @@
+# Ollama Examples
+
+This folder contains examples demonstrating how to use Ollama models with the Agent Framework.
+
+## Prerequisites
+
+1. **Install Ollama**: Download and install Ollama from [ollama.com](https://ollama.com/)
+2. **Start Ollama**: Ensure Ollama is running on your local machine
+3. **Pull a model**: Run `ollama pull mistral` (or any other model you prefer that supports function calling)
+
+## Examples
+
+| File | Description |
+|------|-------------|
+| [`ollama_with_openai_chat_client.py`](ollama_with_openai_chat_client.py) | Demonstrates how to configure OpenAI Chat Client to use local Ollama models. Shows both streaming and non-streaming responses with tool calling capabilities. |
+
+## Configuration
+
+The examples use environment variables for configuration:
+
+### Environment Variables
+
+Set the following environment variables before running the examples:
+
+- `OLLAMA_ENDPOINT`: The base URL for your Ollama server
+  - Example: `export OLLAMA_ENDPOINT="http://localhost:11434/v1/"`
+
+- `OLLAMA_MODEL`: The model name to use
+  - Example: `export OLLAMA_MODEL="mistral"`
+  - Must be a model you have pulled with Ollama

python/samples/getting_started/agents/ollama/ollama_with_openai_chat_client.py

@@ -0,0 +1,80 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+import os
+from random import randint
+from typing import Annotated
+
+from agent_framework.openai import OpenAIChatClient
+
+"""
+Ollama with OpenAI Chat Client Example
+
+This sample demonstrates using Ollama models through OpenAI Chat Client by
+configuring the base URL to point to your local Ollama server for local AI inference.
+Ollama allows you to run large language models locally on your machine.
+
+Environment Variables:
+- OLLAMA_ENDPOINT: The base URL for your Ollama server (e.g., "http://localhost:11434/v1/")
+- OLLAMA_MODEL: The model name to use (e.g., "mistral", "llama3.2", "phi3")
+"""
+
+
+def get_weather(
+    location: Annotated[str, "The location to get the weather for."],
+) -> str:
+    """Get the weather for a given location."""
+    conditions = ["sunny", "cloudy", "rainy", "stormy"]
+    return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
+
+
+async def non_streaming_example() -> None:
+    """Example of non-streaming response (get the complete result at once)."""
+    print("=== Non-streaming Response Example ===")
+
+    agent = OpenAIChatClient(
+        base_url=os.getenv("OLLAMA_ENDPOINT"),
+        model_id=os.getenv("OLLAMA_MODEL"),
+    ).create_agent(
+        name="WeatherAgent",
+        instructions="You are a helpful weather agent.",
+        tools=get_weather,
+    )
+
+    query = "What's the weather like in Seattle?"
+    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 = OpenAIChatClient(
+        base_url=os.getenv("OLLAMA_ENDPOINT"),
+        model_id=os.getenv("OLLAMA_MODEL"),
+    ).create_agent(
+        name="WeatherAgent",
+        instructions="You are a helpful weather agent.",
+        tools=get_weather,
+    )
+
+    query = "What's the weather like in Portland?"
+    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("=== Ollama with OpenAI Chat Client Agent Example ===")
+
+    await non_streaming_example()
+    await streaming_example()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())