metauto-ai / gptswarm Goto Github PK

@Obs01ete @Wenyi-AI-Wang Hi, Dmitrii and Wenyi. Thanks for your effort!

These are the remain work for us.

• Please help with the dataset upload (git-lfs)
• Check the GitHub setting of project (automated test)
• Upload the ArXiv link and right format of paper citation

2024-05-01 17:00:25.721 | ERROR | swarm.graph.node:execute:141 - Node DirectAnswer failed to execute due to: RetryError: RetryError[<Future at 0x314e4fcd0 state=finished raised OpenAIError>]
2024-05-01 17:03:04.397 | ERROR | swarm.graph.node:execute:141 - Node DirectAnswer failed to execute due to: RetryError: RetryError[<Future at 0x314e4ff40 state=finished raised OpenAIError>]
2024-05-01 17:07:03.721 | ERROR | swarm.graph.node:execute:141 - Node DirectAnswer failed to execute due to: RetryError: RetryError[<Future at 0x314e84100 state=finished raised OpenAIError>]

Showing the above error when running the examples, the local openai connection is okay.

Hi,

Thanks for this useful framework!

There is an issue while running multi-agent commands that require asynchronous use of LMStudio API. For instance, running PYTHONPATH=. python experiments/run_mmlu.py --num-truthful-agents=3 --mode=OptimizedSwarm, the outputs of LMStudio seem to be not assigned to the relevant question but to random input questions.

I have not tested this with Open AI API to see if this is specifically an incompatibility issue of LMStudio.

My current temporary solution is not to use the asynchronous implementation but this is annoyingly very slow. Have you encountered this? Is there a way to still use your asynchronous implementation and not experience this issue?

Thanks so much!

GPTSWARM_ROOT = find_project_root()

@mczhuge FYI this does not work with packages.

https://coveralls.io/github/metauto-ai/GPTSwarm