iod/AgentCoord
9
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Bo Pan 2024-04-07 14:26:45 +08:00 committed by GitHub
parent 90b3e5afc7
commit f48b7c47c2
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 37 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

39
README.md
View File

@ -1,4 +1,39 @@
# AgentCoord
# AgentCoord: Visually Exploring Coordination Strategy for LLM-based Multi-Agent Collaboration
<p align="center">
<a ><img src="https://github.com/bopan3/AgentCoord_Backend/assets/21981916/bbad2f66-368f-488a-af36-72e79fdb6805" alt=" AgentCoord: Visually Exploring Coordination Strategy for LLM-based Multi-Agent Collaboration" width="200px"></a>
</p>
AgentCoord is an experimental open-source system to help general users design coordination strategies for multiple LLM-based agents (Research paper forthcoming).
## System Usage
<a href="https://youtu.be/s56rHJx-eqY" target="_blank"><img src="https://github.com/bopan3/AgentCoord_Backend/assets/21981916/0d907e64-2a25-4bdf-977d-e90197ab1aab"
alt="System Usage Video" width="800" border="5" /></a>
## Installation
### Installation
```bash
git clone https://github.com/AgentCoord/AgentCoord.git
cd AgentCoord
pip install -r requirements.txt
```
### Configuration
#### LLM configuration
You can set the configuration (i.e. API base, API key, Model name, Max tokens, Response per minute) for default LLM in config\config.yaml. Currently, we only support OpenAI’s LLMs as the default model. We recommend using gpt-4-0125-preview as the default model (WARNING: the execution process of multiple agents may consume a significant number of tokens).
You can switch to a fast mode that uses the Mistral 8×7B model with hardware acceleration by [Groq](https://groq.com/) for the first time in strategy generation to strike a balance of response quality and efficiency. To achieve this, you need to set the FAST_DESIGN_MODE field in the yaml file as True and fill the GROQ_API_KEY field with the api key of [Groq](https://wow.groq.com/).
#### Agent configuration
Currently, we support config agents by [role-prompting](https://arxiv.org/abs/2305.14688). You can customize your agents by changing the role prompts in AgentRepo\agentBoard_v1.json. We plan to support more methods to customize agents (e.g., supporting RAG, or providing a unified wrapper for customized agents).
### Launch
Execute the following command to launch the system:
```bash
python server.py
```
## More Papers & Projects for LLM-based Multi-Agent Collaboration
If you’re interested in LLM-based multi-agent collaboration and want more papers & projects for reference, you may check out the corpus collected by us:
Will be released before April 7th, 2024.