mrsdk 0.3.1

Python SDK for the MindRoot API

MindRoot Python SDK

A simple Python client for interacting with the MindRoot API. This SDK provides programmatic access to run tasks with MindRoot AI agents.

Agent Definition Requirements

Note that for the results field to be filled in, the Agent you reference MUST have the task_result command enabled from the chat plugin section under Available Commands (/admin | Agents | select agent from drop down).

API Key Generation

Go to /admin | MindRoot API Keys in your MindRoot installation.

Installation

You can install the package from PyPI:

pip install mrsdk

This is the recommended installation method for most users.

Alternatively, you can install directly from GitHub:

pip install git+https://github.com/mindroot/mindroot-python-sdk.git

Or install from a local copy:

pip install -e .

Quick Start

from mrsdk import MindRootClient

# Initialize client with your API key and MindRoot URL
client = MindRootClient(
    api_key="your_api_key_here",
    base_url="http://localhost:8010"
)

# Or use environment variable
# export MINDROOT_API_KEY=your_api_key_here
# client = MindRootClient(base_url="http://localhost:8010")

# Run a task with an agent
result = client.run_task(
    agent_name="Assistant",
    instructions="What is the square root of 256? Show your work."
)

# Print the result
print(result["results"])

Advanced Usage

Getting the Full Trace

result = client.run_task(
    agent_name="Assistant",
     base_url="http://localhost:8010",
    instructions="Please write a program to calculate the first 10 prime numbers.",
    include_trace=True
)

# Print the result
print(result["results"])

# Print the full trace of commands executed by the agent
import json
for cmd in result["full_results"]:
    print(json.dumps(cmd, indent=2))

Handling Errors

from mrsdk import MindRootClient, MindRootError

client = MindRootClient(base_url="http://localhost:8010")

try:
    result = client.run_task("Assistant", "Complex task instructions here")
    print(result["results"])
except MindRootError as e:
    print(f"Error from MindRoot API: {e}")
except Exception as e:
    print(f"Unexpected error: {e}")

Changing the Base URL

# For connecting to a custom MindRoot instance
client = MindRootClient(
    api_key="your_api_key_here",
    base_url="https://mindroot.your-company.com",  # Always required
    timeout=600  # Increase timeout for complex tasks (in seconds)
)

Command-line Interface

The package includes a simple command-line interface for quick testing:

# Set your API key
export MINDROOT_API_KEY=your_api_key_here

# Run the example script (specify the MindRoot server URL)
python -m mrsdk.cli "What is the square root of 256? Show your work." --url http://localhost:8010

# Include full trace in the output
python -m mrsdk.cli "Calculate the first 10 prime numbers." --url http://localhost:8010 --trace

# Specify a different agent
python -m mrsdk.cli "Translate this to French: Hello, world!" --agent Translator

API Reference

MindRootClient

client = MindRootClient(api_key=None, base_url="http://localhost:8010", timeout=300)

Parameters:

-- base_url (str, required): Base URL of the MindRoot API server (e.g., http://localhost:8010).

• timeout (int): Request timeout in seconds. Default is 300 (5 minutes).

Methods

run_task

result = client.run_task(agent_name, instructions, include_trace=False)

Parameters:

• agent_name (str): Name of the agent to run the task.
• instructions (str): Instructions or prompt for the agent.
• include_trace (bool): Whether to include the full trace of commands in the result. Default is False.

Returns:

A dictionary containing the task results:

• If include_trace is False, returns only the final textual result.
• If include_trace is True, returns a dict with 'results', 'full_results', and 'log_id' keys.

Raises:

• MindRootError: If the API returns an error or if the request fails.
• requests.RequestException: For network-related errors.

License

MIT