

Radio LLM
Overview :
Radio LLM is a platform that integrates large language models (LLMs) with the Meshtastic mesh communication network. It allows users within the mesh network to interact with the LLM to receive concise, automated responses. Additionally, the platform enables users to perform tasks through the LLM, such as calling emergency services, sending messages, and retrieving sensor information. Currently, only a demonstration tool for emergency services is supported, with more tools expected to be launched in the future.
Target Users :
The target audience includes developers and tech enthusiasts, particularly those interested in large language models (LLMs) and Meshtastic network communication. This product is well-suited for them as it offers an integrated platform to explore and implement LLM applications in real-world communication networks, fostering the advancement of automated and intelligent communication.
Use Cases
Users can automatically call emergency services through the platform in critical situations.
Users can send messages and receive automated responses from the LLM.
Users can retrieve information from sensors, which is processed and returned by the LLM.
Features
Bidirectional communication: Bidirectional communication between Meshtastic and LLM.
Broadcast or directed responses: Supports general broadcasting or targeted responses.
Automatic message chunking: Automatically chunks long responses exceeding 200 characters.
Maintain message history: Preserves message history for context-aware interactions.
Node-specific information: Can include node-specific information (e.g., battery level, location) in responses.
Tool utilization: LLM can perform tasks based on prompts.
How to Use
1. Connect the Meshtastic device via USB or configure TCP access.
2. Clone the repository locally and navigate to the project directory.
3. Install the necessary dependencies.
4. Run the main script.
5. Interact with the LLM using regular messages or the command '/tool your_message'.
6. Modify the LLM model and configuration as needed.
7. If custom tools need to be added, define the tool, register it, and describe its functionality.
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