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Add Ollama Python Tool to AI Agent

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Quick Start

1

Set Up Ollama

Make sure you have Ollama installed and running locally:
# Install Ollama from https://ollama.ai/
# Pull the llama3.2 model
ollama pull llama3.2
2

Create a file

Create a new file ollama_stock.py with the following code:
from praisonaiagents import Agent, MCP

stock_agent = Agent(
    instructions="""You are a Stock Price Assistant.""",
    llm="ollama/llama3.2",
    tools=MCP("/Users/praison/miniconda3/envs/mcp/bin/python /Users/praison/stockprice/app.py")
)

# NOTE: Python Path replace with yours: /Users/praison/miniconda3/envs/mcp/bin/python
# NOTE: app.py file path, replace it with yours: /Users/praison/stockprice/app.py

stock_agent.start("What is the Stock Price of Apple?")
3

Install Dependencies

Make sure you have the required packages installed:
pip install "praisonaiagents[llm]" yfinance mcp
4

Run the Agent

Execute your script:
python ollama_stock.py
Requirements
  • Python 3.10 or higher
  • Ollama installed and running locally
  • yfinance and mcp packages installed

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Features

Local LLM

Run models locally using Ollama without relying on external APIs.

Stock Data

Retrieve real-time stock price information using the yfinance library.

Python MCP

Use Python-based MCP servers for custom tool functionality.

Privacy-Focused

Keep sensitive data local with on-device inference.