Prompt Engineering at your fingertips
LLMstudio is now supporting OpenAI v1.0 + just added support to Anthropic
- 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.
- 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.
- 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.
- 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)
🚀 Quick Install
Install the SDK using
pip install LLMstudio
Run the startup command
LLMstudio server --ui
🤔 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.
- 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
- 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
- Head on to our Contribution Guide to see how you can help LLMstudio.
- Join our Discord to talk with other LLMstudio enthusiasts.
Thank you for choosing LLMstudio. Your journey to perfecting AI interactions begins here.