Python: Move ollama samples to samples getting started dir (#2921)

* Move ollama samples to samples getting started dir

* Address feedback
This commit is contained in:
Evan Mattson
2025-12-18 17:37:05 +09:00
committed by GitHub
Unverified
parent 360839782c
commit ca1532cf22
11 changed files with 85 additions and 56 deletions
@@ -0,0 +1,23 @@
# Copyright (c) Microsoft. All rights reserved.
import importlib
from typing import Any
IMPORT_PATH = "agent_framework_ollama"
PACKAGE_NAME = "agent-framework-ollama"
_IMPORTS = ["__version__", "OllamaChatClient", "OllamaSettings"]
def __getattr__(name: str) -> Any:
if name in _IMPORTS:
try:
return getattr(importlib.import_module(IMPORT_PATH), name)
except ModuleNotFoundError as exc:
raise ModuleNotFoundError(
f"The '{PACKAGE_NAME}' package is not installed, please do `pip install {PACKAGE_NAME}`"
) from exc
raise AttributeError(f"Module {IMPORT_PATH} has no attribute {name}.")
def __dir__() -> list[str]:
return _IMPORTS
@@ -0,0 +1,13 @@
# Copyright (c) Microsoft. All rights reserved.
from agent_framework_ollama import (
OllamaChatClient,
OllamaSettings,
__version__,
)
__all__ = [
"OllamaChatClient",
"OllamaSettings",
"__version__",
]
+1
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@@ -52,6 +52,7 @@ all = [
"agent-framework-devui",
"agent-framework-lab",
"agent-framework-mem0",
"agent-framework-ollama",
"agent-framework-purview",
"agent-framework-redis",
]
@@ -1,38 +0,0 @@
# 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)
- 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`
- For Multimodality you can use models like `gemma3:4b`
> **Note**: Not all models support all features. Function calling and reasoning capabilities depend on the specific model you're using.
## Examples
| File | Description |
|------|-------------|
| [`ollama_agent_basic.py`](ollama_agent_basic.py) | Demonstrates basic Ollama agent usage with the native Ollama Chat Client. Shows both streaming and non-streaming responses with tool calling capabilities. |
| [`ollama_agent_reasoning.py`](ollama_agent_reasoning.py) | Demonstrates Ollama agent with reasoning capabilities using the native Ollama Chat Client. Shows how to enable thinking/reasoning mode. |
| [`ollama_chat_client.py`](ollama_chat_client.py) | Ollama Chat Client with native Ollama Chat Client |
| [`ollama_chat_multimodal.py`](ollama_chat_multimodal.py) | Ollama Chat with multimodal native Ollama Chat Client |
## Configuration
The examples use environment variables for configuration. Set the appropriate variables based on which example you're running:
### For Native Ollama Examples (`ollama_agent_basic.py`, `ollama_agent_reasoning.py`)
Set the following environment variables:
- `OLLAMA_HOST`: The base URL for your Ollama server (optional, defaults to `http://localhost:11434`)
- Example: `export OLLAMA_HOST="http://localhost:11434"`
- `OLLAMA_CHAT_MODEL_ID`: The model name to use
- Example: `export OLLAMA_CHAT_MODEL_ID="qwen2.5:8b"`
- Must be a model you have pulled with Ollama
+7 -5
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@@ -99,11 +99,15 @@ This directory contains samples demonstrating the capabilities of Microsoft Agen
### Ollama
The recommended way to use Ollama is via the native `OllamaChatClient` from the `agent-framework-ollama` package.
| File | Description |
|------|-------------|
| [`getting_started/agents/ollama/ollama_with_openai_chat_client.py`](./getting_started/agents/ollama/ollama_with_openai_chat_client.py) | Ollama with OpenAI Chat Client Example |
| [`packages/ollama/getting_started/ollama_agent_basic.py`](../packages/ollama/getting_started/ollama_agent_basic.py) | (Experimental) Ollama Agent with native Ollama Chat Client |
| [`packages/ollama/getting_started/ollama_agent_reasoning.py`](../packages/ollama/getting_started/ollama_agent_reasoning.py) | (Experimental) Ollama Reasoning Agent with native Ollama Chat Client |
| [`getting_started/agents/ollama/ollama_agent_basic.py`](./getting_started/agents/ollama/ollama_agent_basic.py) | Basic Ollama Agent with native Ollama Chat Client |
| [`getting_started/agents/ollama/ollama_agent_reasoning.py`](./getting_started/agents/ollama/ollama_agent_reasoning.py) | Ollama Agent with reasoning capabilities |
| [`getting_started/agents/ollama/ollama_chat_client.py`](./getting_started/agents/ollama/ollama_chat_client.py) | Direct usage of Ollama Chat Client |
| [`getting_started/agents/ollama/ollama_chat_multimodal.py`](./getting_started/agents/ollama/ollama_chat_multimodal.py) | Ollama Chat Client with multimodal (image) input |
| [`getting_started/agents/ollama/ollama_with_openai_chat_client.py`](./getting_started/agents/ollama/ollama_with_openai_chat_client.py) | Alternative: Ollama via OpenAI Chat Client |
### OpenAI
@@ -149,7 +153,6 @@ This directory contains samples demonstrating the capabilities of Microsoft Agen
| [`getting_started/chat_client/openai_assistants_client.py`](./getting_started/chat_client/openai_assistants_client.py) | OpenAI Assistants Client Direct Usage Example |
| [`getting_started/chat_client/openai_chat_client.py`](./getting_started/chat_client/openai_chat_client.py) | OpenAI Chat Client Direct Usage Example |
| [`getting_started/chat_client/openai_responses_client.py`](./getting_started/chat_client/openai_responses_client.py) | OpenAI Responses Client Direct Usage Example |
| [`packages/ollama/getting_started/ollama_chat_client.py`](../packages/ollama/getting_started/ollama_chat_client.py) | (Experimental) Ollama Chat Client with native Ollama Chat Client |
## Context Providers
@@ -225,7 +228,6 @@ This directory contains samples demonstrating the capabilities of Microsoft Agen
| [`getting_started/multimodal_input/azure_chat_multimodal.py`](./getting_started/multimodal_input/azure_chat_multimodal.py) | Azure OpenAI Chat with multimodal (image) input example |
| [`getting_started/multimodal_input/azure_responses_multimodal.py`](./getting_started/multimodal_input/azure_responses_multimodal.py) | Azure OpenAI Responses with multimodal (image) input example |
| [`getting_started/multimodal_input/openai_chat_multimodal.py`](./getting_started/multimodal_input/openai_chat_multimodal.py) | OpenAI Chat with multimodal (image) input example |
| [`packages/ollama/getting_started/ollama_chat_multimodal.py`](../packages/ollama/getting_started/ollama_chat_multimodal.py) | (Experimental) Ollama Chat with multimodal native Ollama Chat Client |
## Azure Functions
@@ -8,20 +8,41 @@ This folder contains examples demonstrating how to use Ollama models with the Ag
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)
- 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`
- For reasoning examples, use models that support reasoning like `qwen3:8b`
- For multimodal examples, use models like `gemma3:4b`
> **Note**: Not all models support all features. Function calling and reasoning capabilities depend on the specific model you're using.
> **Note**: Not all models support all features. Function calling, reasoning, and multimodal capabilities depend on the specific model you're using.
## Recommended Approach
The recommended way to use Ollama with Agent Framework is via the native `OllamaChatClient` from the `agent-framework-ollama` package. This provides full support for Ollama-specific features like reasoning mode.
Alternatively, you can use the `OpenAIChatClient` configured to point to your local Ollama server, which may be useful if you're already familiar with the OpenAI client interface.
## 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. |
| [`ollama_agent_basic.py`](ollama_agent_basic.py) | Basic Ollama agent with tool calling using native Ollama Chat Client. Shows both streaming and non-streaming responses. |
| [`ollama_agent_reasoning.py`](ollama_agent_reasoning.py) | Ollama agent with reasoning capabilities using native Ollama Chat Client. Shows how to enable thinking/reasoning mode. |
| [`ollama_chat_client.py`](ollama_chat_client.py) | Direct usage of the native Ollama Chat Client with tool calling. |
| [`ollama_chat_multimodal.py`](ollama_chat_multimodal.py) | Ollama Chat Client with multimodal (image) input capabilities. |
| [`ollama_with_openai_chat_client.py`](ollama_with_openai_chat_client.py) | Alternative approach using OpenAI Chat Client configured to use local Ollama models. |
## Configuration
The examples use environment variables for configuration. Set the appropriate variables based on which example you're running:
### For Native Ollama Examples
Set the following environment variables:
- `OLLAMA_HOST`: The base URL for your Ollama server (optional, defaults to `http://localhost:11434`)
- Example: `export OLLAMA_HOST="http://localhost:11434"`
- `OLLAMA_CHAT_MODEL_ID`: The model name to use
- Example: `export OLLAMA_CHAT_MODEL_ID="qwen2.5:8b"`
- Must be a model you have pulled with Ollama
### For OpenAI Client with Ollama (`ollama_with_openai_chat_client.py`)
@@ -3,7 +3,7 @@
import asyncio
from datetime import datetime
from agent_framework_ollama import OllamaChatClient
from agent_framework.ollama import OllamaChatClient
"""
Ollama Agent Basic Example
@@ -3,8 +3,7 @@
import asyncio
from agent_framework import TextReasoningContent
from agent_framework_ollama import OllamaChatClient
from agent_framework.ollama import OllamaChatClient
"""
Ollama Agent Reasoning Example
@@ -3,12 +3,19 @@
import asyncio
from datetime import datetime
from agent_framework_ollama import OllamaChatClient
from agent_framework.ollama import OllamaChatClient
# 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
# Set the model to use via the OLLAMA_CHAT_MODEL_ID environment variable or modify the code below.
# https://ollama.com/
"""
Ollama Chat Client Example
This sample demonstrates using the native Ollama Chat Client directly.
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
Set the model to use via the OLLAMA_CHAT_MODEL_ID environment variable or modify the code below.
https://ollama.com/
"""
def get_time():
@@ -3,8 +3,7 @@
import asyncio
from agent_framework import ChatMessage, DataContent, Role, TextContent
from agent_framework_ollama import OllamaChatClient
from agent_framework.ollama import OllamaChatClient
"""
Ollama Agent Multimodal Example
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@@ -335,6 +335,7 @@ all = [
{ name = "agent-framework-devui", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
{ name = "agent-framework-lab", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
{ name = "agent-framework-mem0", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
{ name = "agent-framework-ollama", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
{ name = "agent-framework-purview", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
{ name = "agent-framework-redis", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
]
@@ -353,6 +354,7 @@ requires-dist = [
{ name = "agent-framework-devui", marker = "extra == 'all'", editable = "packages/devui" },
{ name = "agent-framework-lab", marker = "extra == 'all'", editable = "packages/lab" },
{ name = "agent-framework-mem0", marker = "extra == 'all'", editable = "packages/mem0" },
{ name = "agent-framework-ollama", marker = "extra == 'all'", editable = "packages/ollama" },
{ name = "agent-framework-purview", marker = "extra == 'all'", editable = "packages/purview" },
{ name = "agent-framework-redis", marker = "extra == 'all'", editable = "packages/redis" },
{ name = "azure-identity", specifier = ">=1,<2" },