MiniMax Router: A Natural Language-Driven Multimodal AI Routing Solution

MiniMax Router is an intelligent multimodal routing skill designed to help users access MiniMax platform's services such as image generation, video generation, music creation, speech synthesis, and text dialogue through a unified natural language interface. Its core advantage lies in automatically identifying user intent and routing to the appropriate model, lowering the threshold for using different modal APIs, allowing users to easily utilize multimodal AI capabilities without worrying about underlying technical details.

With the rapid development of multimodal AI technology, users expect to access various generative AI capabilities through a unified natural language interface. However, different modalities have varying API calling methods, parameter requirements, and quota limits, which pose a high threshold for users and developers. MiniMax Router emerged to address this pain point through intelligent intent recognition and automatic routing mechanisms.

MiniMax Router integrates five core AI capabilities:

• Image Generation: Based on the image-01 model, supports 1:1/16:9/9:16/4:3/3:4 ratios, daily limit of 120 images.
• Video Generation: MiniMax-Hailuo-2.3 (text-to-video), MiniMax-Hailuo-2.3-Fast (image-to-video), default 768P/6 seconds, daily limit of 2 videos, supports 14 camera movement commands.
• Music Creation: Based on the music-2.5 model, supports instrumental music/vocal song modes, daily limit of 4 pieces.
• Speech Synthesis: speech-2.8-hd model, 6 timbres (e.g., warm young voice, calm executive voice), daily limit of 11,000 characters.
• Text Dialogue: MiniMax-M2.7 model, unlimited dialogue capability.

The core of MiniMax Router is intent recognition:

• Natural Language Intent Recognition: Users can describe their needs in daily dialogue for automatic routing, e.g., "Generate a picture of a seaside sunset" → Image Generation, "Make a sunrise video" → Video Generation, etc.
• Slash Command Backup: For users who prefer precise control, e.g., /c (text dialogue), /t (text-to-speech), /v (video generation), /m (music composition), /i (image generation).

The interaction design ensures user experience and quota security:

• Parameter Integrity Check: Intelligently asks for missing parameters (e.g., proactively inquires if the image ratio is not specified).
• Quota Protection Mechanism: Serial calling strategy, only one API request is initiated at a time to avoid accidental exhaustion of quotas.
• Multi-turn Dialogue Support: For complex scenarios (e.g., music composition), information is collected through multiple turns (creation type → lyrics, etc.).

Key technical details:

• Model Selection Logic: In video generation scenarios, the standard MiniMax-Hailuo-2.3 (quality priority) is used for pure text input, and the Fast version (speed priority) for image-to-video.
• Timbre Standardization: Speech synthesis provides 6 clearly named timbres to reduce user selection costs.
• Configuration Management: Authentication is done via the environment variable MINIMAX_API_KEY, and the key is stored in the OpenClaw configuration file.

MiniMax Router is suitable for various scenarios:

• Content Creation Assistance: Self-media users can quickly generate images, background music, dubbing, and short videos to improve production efficiency.
• Intelligent Customer Service and Interaction: Unified interface that automatically selects response forms (text-image, video, voice, etc.) based on user queries.
• Education and Training: Create teaching materials (voice courseware, illustrative images, demonstration videos, etc.) to enrich teaching forms.

MiniMax Router encapsulates multimodal AI capabilities into an easy-to-use unified interface through natural language intent recognition and intelligent routing. Its modular design (core routing logic in router.py, each modality implementation scattered in independent scripts like tts.py) facilitates the expansion of new modalities or custom strategies. This tool lowers the technical threshold, allowing non-technical users to use complex AI services, and will play an important role in multimodal applications in the future.