bandu
Bandu: AI Agents based on ROS2
Overview
It is a multi agent based application where each agent has different capabilities and tools to interact with the robot using ROS2 communication. The agents can be used to perform various tasks such as driving the robot, getting the temperature of the robot, telling jokes, etc.
Features
- Multi-agent system with different capabilities
- Agents can interact with the robot using ROS2 communication
- Agents can use tools to perform various tasks
- Web-based UI to interact with the agents
- Built using Chainlit for easy deployment and interaction
- LLM model used: GPT-4-Turbo (can be changed in the code to use other models)
Hierarchical Agents
Installation steps
# create a virtual env and install deps
pip install -r requirements.txt
# start app
chainlit run app.py --host 0.0.0.0
UI
Image Credits
Images used in this repository are downloaded from Flaticon.
Metadata
Release files for bandu-rai 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bandu_rai-0.1.2.tar.gz | 11.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bandu_rai-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.9 kB
Release files / bandu_rai-0.1.2.tar.gz
| Download URL | bandu_rai-0.1.2.tar.gz |
|---|---|
| Size | 11.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / bandu_rai-0.1.2-py3-none-any.whl
| Download URL | bandu_rai-0.1.2-py3-none-any.whl |
|---|---|
| Size | 14.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.12.3
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