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Brandon McConnell 79bb87061b Python: Clean up imports (#2318 )

* chore: tidy imports

* Update python/packages/azurefunctions/agent_framework_azurefunctions/_errors.py

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* Update python/packages/azurefunctions/agent_framework_azurefunctions/_callbacks.py

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* chore: revert stub file change

* chore: trigger pre-commit hook, re-add `annotations` import

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79bb87061b · 2025-11-19 23:41:01 +00:00

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ollama_with_openai_chat_client.py

Python: Clean up imports (#2318 )

2025-11-19 23:41:01 +00:00

README.md

Python: Added Ollama example using OpenAIChatClient (#1100 )

2025-10-02 15:14:29 +00:00

README.md

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 that supports function calling)

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:

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