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Ollama Examples
This folder contains examples demonstrating how to use Ollama models with the Agent Framework.
Prerequisites
- Install Ollama: Download and install Ollama from ollama.com
- Start Ollama: Ensure Ollama is running on your local machine
- Pull a model: Run
ollama pull mistral(or any other model you prefer)- For function calling examples, use models that support tool calling like
mistralorqwen2.5 - For reasoning examples, use models that support reasoning like
qwen2.5:8b
- For function calling examples, use models that support tool calling like
Note
: Not all models support all features. Function calling and reasoning capabilities depend on the specific model you're using.
Examples
| File | Description |
|---|---|
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. Set the appropriate variables based on which example you're running:
For OpenAI Client with Ollama (ollama_with_openai_chat_client.py)
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/"
- Example:
-
OLLAMA_MODEL: The model name to use- Example:
export OLLAMA_MODEL="mistral" - Must be a model you have pulled with Ollama
- Example: