llmstudio 0.3.3

Prompt Perfection at Your Fingertips

LLMstudio by TensorOps

Prompt Engineering at your fingertips

[!IMPORTANT] LLMstudio is now supporting OpenAI v1.0 + just added support to Anthropic

🌟 Features

1. Python Client Gateway:
   • Access models from known providers such as OpenAI, VertexAI and Bedrock. All in one platform.
   • Speed up development with tracking and robustness features from LLMstudio.
   • Continue using popular libraries like LangChain through their LLMstudio-wrapped versions.
2. Prompt Editing UI:
   • An intuitive interface designed for prompt engineering.
   • Quickly iterate between prompts until you reach your desired results.
   • Access the history of your previous prompts and their results.
3. History Management:
   • Track past runs, available for both on the UI and the Client.
   • Log the cost, latency and output of each prompt.
   • Export the history to a CSV.
4. Context Limit Adaptability:
   • Automatic switch to a larger-context fallback model if the current model's context limit is exceeded.
   • Always use the lowest context model and only use the higher context ones when necessary to save costs.
   • For instance, exceeding 4k tokens in gpt-3.5-turbo triggers a switch to gpt-3.5-turbo-16k.

👀 Coming soon:

• Side-by-side comparison of multiple LLMs using the same prompt.
• Automated testing and validation for your LLMs. (Create Unit-tests for your LLMs which are evaluated automatically)
• API key administration. (Define quota limits)
• Projects and sessions. (Organize your History and API keys by project)
• Resilience against service provider rate limits.
• Organized tracking of groups of related prompts (Chains, Agents)

🚀 Quickstart

Don't forget to check out https://docs.llmstudio.ai page.

Installation

Install the latest version of LLMstudio using pip. We suggest that you create and activate a new environment using conda

pip install llmstudio

Install bun if you want to use the UI

curl -fsSL https://bun.sh/install | bash

Create a .env file at the same path you'll run LLMstudio

OPENAI_API_KEY="sk-api_key"
ANTHROPIC_API_KEY="sk-api_key"

Now you should be able to run LLMstudio using the following command.

llmstudio server --ui

When the --ui flag is set, you'll be able to access the UI at http://localhost:3000

🤔 About LLMstudio

Powered by TensorOps, LLMstudio redefines your experience with OpenAI, Vertex Ai and more language model providers. More than just a tool, it’s an evolving environment where teams can experiment, modify, and optimize their interactions with advanced language models.

Benefits include:

• Streamlined Prompt Engineering: Simplify and enhance your prompt design process.
• Execution History: Keep a detailed log of past executions, track progress, and make iterative improvements effortlessly.
• Effortless Data Export: Share your team's endeavors by exporting data to shareable CSV files.

Step into the future of AI with LLMstudio, by watching our introduction video

📖 Documentation

• Visit our docs to learn how the SDK works (coming soon)
• Checkout our notebook examples to follow along with interactive tutorials
• Checkout out LLMstudio Architecture Roadmap

👨‍💻 Contributing

• Head on to our Contribution Guide to see how you can help LLMstudio.
• Join our Discord to talk with other LLMstudio enthusiasts.

Training

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Thank you for choosing LLMstudio. Your journey to perfecting AI interactions starts here.