| Name | llmstudio-core JSON |
| Version |
1.0.0
JSON |
| download |
| home_page | None |
| Summary | LLMStudio core capabilities for routing llm calls for any vendor. No proxy server required. For that use llmstudio[proxy] |
| upload_time | 2024-10-28 09:43:34 |
| maintainer | None |
| docs_url | None |
| author | Cláudio Lemos |
| requires_python | <4.0,>=3.9 |
| license | MIT |
| keywords |
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| VCS |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
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| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
|
# LLMstudio-core by [TensorOps](http://tensorops.ai "TensorOps")
Prompt Engineering at your fingertips
## 🌟 Features
- **Custom and Local LLM Support**: Use custom or local open-source LLMs through Ollama.
- **Python SDK**: Easily integrate LLMstudio into your existing workflows.
- **LangChain Integration**: LLMstudio integrates with your already existing LangChain projects.
## 🚀 Quickstart
Don't forget to check out [https://docs.llmstudio.ai](docs) page.
## Installation
Install the latest version of **LLMstudio** using `pip`. We suggest that you create and activate a new environment using `conda`
```bash
pip install llmstudio-core
```
Create a `.env` file at the same path you'll run **LLMstudio**
```bash
OPENAI_API_KEY="sk-api_key"
GOOGLE_API_KEY="sk-api_key"
```
Now you should be able to run **LLMstudio** Providers using the following code:
```
# You can set OPENAI_API_KEY environment variable, add it to .env, or pass directly as api_key
import os
from llmstudio_core.providers import LLMCore as LLM
llm = LLM("vertexai", api_key=os.environ["GOOGLE_API_KEY"])
response = llm.chat("How are you", model="gemini-1.5-pro-latest")
print(response.chat_output, response.metrics)
```
## 📖 Documentation
- [Visit our docs to learn how the SDK works](https://docs.LLMstudio.ai) (coming soon)
- Checkout our [notebook examples](https://github.com/TensorOpsAI/LLMstudio/tree/main/examples) to follow along with interactive tutorials
## 👨💻 Contributing
- Head on to our [Contribution Guide](https://github.com/TensorOpsAI/LLMstudio/tree/main/CONTRIBUTING.md) to see how you can help LLMstudio.
- Join our [Discord](https://discord.gg/GkAfPZR9wy) to talk with other LLMstudio enthusiasts.
## Training
[](https://www.tensorops.ai/llm-studio-workshop)
---
Thank you for choosing LLMstudio. Your journey to perfecting AI interactions starts here.
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