Prompt Engineering at your fingertips
Don't forget to check out https://docs.llmstudio.ai page.
Install the latest version of LLMstudio using pip. We suggest that you create and activate a new environment using conda
For full version:
pip install 'llmstudio[proxy,tracker]'
For lightweight (core) version:
pip install llmstudio
Create a .env file at the same path you'll run LLMstudio
OPENAI_API_KEY="sk-api_key"
ANTHROPIC_API_KEY="sk-api_key"
VERTEXAI_KEY="sk-api-key"
Now you should be able to run LLMstudio using the following command.
llmstudio server --proxy --tracker
When the --proxy flag is set, you'll be able to access the Swagger at http://0.0.0.0:50001/docs (default port)
When the --tracker flag is set, you'll be able to access the Swagger at http://0.0.0.0:50002/docs (default port)
Thank you for choosing LLMstudio. Your journey to perfecting AI interactions starts here.
FAQs
Prompt Perfection at Your Fingertips
We found that llmstudio demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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