minion-space / README.md
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Add demo video for plan trip
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A newer version of the Gradio SDK is available: 5.44.1

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metadata
title: Minion Space
emoji: 💬
colorFrom: yellow
colorTo: purple
sdk: gradio
sdk_version: 5.32.0
app_file: app_with_mcp.py
pinned: false
license: mit
short_description: minion running in space
tags:
  - mcp-server-track
  - agent-demo-track

An example chatbot based on minion framework(https://github.com/femto/minion), can handle arbitray type of queries, task-aware routing(if don't choose route, it will automatically choose proper route)

Demo Videos

🎥 Minion-Space Demo: Solving Game 24 and Listing Files

Watch this video to see minion-space in action, demonstrating how it can solve mathematical puzzles like the Game of 24 and perform file operations.

🎥 Minion-Space List-Files Demo

This video showcases the list-files functionality of minion-space, demonstrating how it can efficiently browse and manage file systems.

🎥 Plan Writing Long Novel

This video demonstrates how to plan writing long novels using minion-space, showcasing its capability for creative writing planning and story structure development.

🎥 Plan Trip

This video demonstrates how to plan trips using minion-space, showcasing its capability for travel planning, itinerary creation, and destination recommendations.

Configuration Options

API Type Configuration

  • openai: For OpenAI-compatible APIs (OpenAI, local models, etc.)
    • Use standard OpenAI API format
    • Set Base URL to your API endpoint
    • API Version is optional
  • azure: For Azure OpenAI Service
    • Required: Must specify API Version (e.g., "2024-06-01")
    • Set Base URL to your Azure endpoint
    • Uses Azure-specific authentication

Route Selection

  • Auto (empty): Automatically selects the most appropriate route based on query type
  • Raw: Direct LLM output without additional processing
  • Native: Standard minion processing
  • CoT: Chain of Thought reasoning for complex problems
  • DCoT: Dynamic Chain of Thought with adaptive reasoning
  • Plan: Planning-based approach for multi-step tasks
  • Python: Code execution environment for computational queries

Preset Models

  • gpt-4o: Latest GPT-4 Omni model for general tasks
  • gpt-4o-mini: Lightweight version for faster responses
  • gpt-4.1: Advanced reasoning model
  • o4-mini: Optimized mini model
  • Custom: Configure your own API settings

Additional Settings

  • Enable Check: Activates output verification and validation
  • Query Type (Python route only): Choose between calculate, code_solution, or generate
  • Temperature: Controls response creativity (0.0-2.0)
  • Max Tokens: Maximum response length (100-8000)