AgentM

AgentM is a library of "Micro Agents" that make it easy to add reliable intelligence to any application. The philosophy behind AgentM is that "Agents" should be mostly comprised of deterministic code with a sprinkle of LLM-powered intelligence mixed in. Many of the existing Agent frameworks place the LLM at the center of the application as an orchestrator that calls a collection of tools. In an AgentM application, your code is the orchestrator, and you only call a micro agent when you need to perform a task that requires intelligence.

Check out the JavaScript version to get a sense of AgentM's current feature set.

Installation

To install and set up AgentM, simply run the install.py script. The script will prompt you to enter your OpenAI API key and the log directory:

python install.py

Sample output when running the installation script:

Enter your OpenAI API key: sk-xxxxxxx...
Enter the log directory path [default: ./var/logs/error.log]: 
Settings saved to config/settings.json

For more detailed information, please refer to the INSTALL.md file.

Examples

You can find more detailed examples in our Examples Documentation.

Example 1: Filter List

Run the filter list example to see how AgentM filters a list of items based on whether they are considered healthy snacks:

python examples/filter_list_example.py

Sample Output:

Original list: ['Apple', 'Chocolate bar', 'Carrot', 'Chips', 'Orange']

Filtered results:

{'explanation': 'The apple is a healthy snack option, as it is low in calories, rich in fiber, and provides essential vitamins such as vitamin C.', 'remove_item': False}
{'explanation': 'A chocolate bar is generally considered an unhealthy snack because it is high in sugar and saturated fats, which can contribute to weight gain and other health issues if consumed in excess.', 'remove_item': True}
{'explanation': 'Carrots are a healthy snack option, as they are low in calories, high in fiber, and rich in vitamins and minerals.', 'remove_item': False}
{'explanation': 'Chips are typically high in unhealthy fats, sodium, and calories, making them a less nutritious snack choice...', 'remove_item': True}
{'explanation': 'The orange is a healthy snack option, as it is low in calories and high in vitamin C and dietary fiber, making it a nutritious choice.', 'remove_item': False}

Final Filtered List: ['Apple', 'Carrot', 'Orange']

Example 2: Sort List

Run the sort list example to see how AgentM sorts a list of items using LLM intelligence:

python examples/sort_list_example.py

Sample Output:

2024-09-11 10:46:22,401 - INFO - Sending batch comparison request with prompt: Compare Apple and Orange and return the items in the correct order as 'item1,item2'.
2024-09-11 10:46:22,729 - INFO - Received response: Apple,Orange
2024-09-11 10:46:22,730 - INFO - Sending batch comparison request with prompt: Compare Grape and Pineapple and return the items in the correct order as 'item1,item2'.
2024-09-11 10:46:23,094 - INFO - Received response: Grape,Pineapple
2024-09-11 10:46:23,094 - INFO - Sending batch comparison request with prompt: Compare Banana and Grape and return the items in the correct order as 'item1,item2'.
2024-09-11 10:46:23,539 - INFO - Received response: Banana,Grape
2024-09-11 10:46:23,540 - INFO - Sending batch comparison request with prompt: Compare Apple and Banana and return the items in the correct order as 'item1,item2'.
Compare Orange and Grape and return the items in the correct order as 'item1,item2'.
2024-09-11 10:46:24,067 - INFO - Received response: Apple,Banana  
Grape,Orange
Original list: ['Apple', 'Orange', 'Banana', 'Grape', 'Pineapple']
Sorted list: ['Apple', 'Banana', 'Orange', 'Grape', 'Pineapple']

Example 3: Chain of Thought

Run the chain of thought example to see how AgentM solves problems using a step-by-step reasoning approach:

python examples/chain_of_thought_example.py

Sample Output:

Question: What is the square root of 144?
Chain of Thought Reasoning: To find the square root of 144 step-by-step, follow these steps:

1. **Understanding Square Roots**: The square root of a number is a value that, when multiplied by itself, gives that number. For example, if x is the square root of y, then x * x = y.

2. **Identifying the Number**: In this case, we need to find the square root of 144.

3. **Finding Factors**: We'll look for a number that, when multiplied by itself, equals 144. 

4. **Testing Numbers**: 
   - Let's start with smaller numbers:
     - 1 * 1 = 1 (not the answer)
     - 2 * 2 = 4 (not the answer)
     - 3 * 3 = 9 (not the answer)
     - 4 * 4 = 16 (not the answer)
     - 5 * 5 = 25 (not the answer)
     - 6 * 6 = 36 (not the answer)
     - 7 * 7 = 49 (not the answer)
     - 8 * 8 = 64 (not the answer)
     - 9 * 9 = 81 (not the answer)
     - 10 * 10 = 100 (not the answer)
     - 11 * 11 = 121 (not the answer)
     - 12 * 12 = 144 (this is the answer)
   
5. **Conclusion**: The square root of 144 is 12.

Thus, the final answer is:

\[
\sqrt{144} = 12
\]