Python: Rebase durable task feature branch with main (#2806)

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

@@ -6,7 +6,11 @@ This folder contains examples demonstrating how to use Ollama models with the Ag
 
 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)
+3. **Pull a model**: Run `ollama pull mistral` (or any other model you prefer)
+   - For function calling examples, use models that support tool calling like `mistral` or `qwen2.5`
+   - For reasoning examples, use models that support reasoning like `qwen2.5:8b`
+
+> **Note**: Not all models support all features. Function calling and reasoning capabilities depend on the specific model you're using.
 
 ## Examples
 
@@ -16,15 +20,16 @@ This folder contains examples demonstrating how to use Ollama models with the Ag
 
 ## Configuration
 
-The examples use environment variables for configuration:
+The examples use environment variables for configuration. Set the appropriate variables based on which example you're running:
 
-### Environment Variables
 
-Set the following environment variables before running the examples:
+### For OpenAI Client with Ollama (`ollama_with_openai_chat_client.py`)
 
-- `OLLAMA_ENDPOINT`: The base URL for your Ollama server
+Set the following environment variables:
+
+- `OLLAMA_ENDPOINT`: The base URL for your Ollama server with `/v1/` suffix
   - 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
+  - Must be a model you have pulled with Ollama