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A toolkit for autonomous AI operations using local LLM implementations.
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A toolkit for autonomous AI operations using local LLM implementations.
Local-LLM/
├── src/ # Main source code directory
│ ├── core/ # Core functionality
│ │ ├── functions/ # Core function modules
│ │ ├── api/ # API integrations
│ │ └── tools/ # Core tools
│ ├── models/ # Model definitions
│ ├── pipelines/ # Processing pipelines
│ └── tools/ # Specialized tools
├── prompts/ # LLM prompts
├── tests/ # Test suite
├── examples/ # Usage examples
└── docs/ # Documentation
Clone the repository:
git clone <repository-url>
cd Local-LLM
Install dependencies:
pip install -r requirements.txt
Install the package in development mode:
pip install -e .
See docs/USAGE.md for detailed usage instructions.
For API documentation, see docs/API.md.
This project is licensed under the MIT License - see the LICENSE file for details.
TypeScript and ESLint rules that MUST be followed when creating, modifying, or reviewing any file under apps/frontend/, including .ts, .tsx, .js, and .jsx files. Also apply when discussing frontend li...
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