| { |
| "repository_url": "https://github.com/ronelsolomon/cebras.git", |
| "owner": "ronelsolomon", |
| "name": "cebras.git", |
| "extracted_at": "2026-03-02T22:49:08.429260", |
| "files": { |
| "requirements.txt": { |
| "content": "cerebras-cloud-sdk>=0.1.0\npython-dotenv>=1.0.0\n", |
| "size": 47, |
| "language": "text" |
| }, |
| "README.md": { |
| "content": "# Cerebras Chat Completion Example\n\nThis project demonstrates how to use the Cerebras SDK to generate chat completions using the Llama 4 model.\n\n## Prerequisites\n\n- Python 3.8+\n- Cerebras API key (get it from [Cerebras Console](https://console.cerebras.net/))\n\n## Setup\n\n1. Clone this repository\n2. Install the required dependencies:\n ```bash\n pip install -r requirements.txt\n ```\n3. Set your Cerebras API key as an environment variable:\n ```bash\n # On macOS/Linux\n export CEREBRAS_API_KEY='your-api-key-here'\n \n # On Windows (Command Prompt)\n set CEREBRAS_API_KEY=your-api-key-here\n \n # On Windows (PowerShell)\n $env:CEREBRAS_API_KEY='your-api-key-here'\n ```\n\n## Usage\n\nRun the chat completion example:\n\n```bash\npython cebras.py\n```\n\n## Environment Variables\n\n- `CEREBRAS_API_KEY`: Your Cerebras API key (required)\n\n## Example\n\nThe script will send a chat completion request to the Cerebras API and stream the response to the console.\n", |
| "size": 962, |
| "language": "markdown" |
| }, |
| ".env": { |
| "content": "CEREBRAS_API_KEY=\"csk-y933tjkj4d4fct3jr2xny2yp9k8xkx4kh3rk2d6e59kywpk3\"", |
| "size": 71, |
| "language": "unknown" |
| }, |
| ".gitattributes": { |
| "content": "# Auto detect text files and perform LF normalization\n* text=auto\n", |
| "size": 66, |
| "language": "unknown" |
| }, |
| "cebras.py": { |
| "content": "import os\nfrom cerebras.cloud.sdk import Cerebras\n\nclient = Cerebras(\n # This is the default and can be omitted\n api_key=\"csk-y933tjkj4d4fct3jr2xny2yp9k8xkx4kh3rk2d6e59kywpk3\"\n #os.environ.get(\"csk-y933tjkj4d4fct3jr2xny2yp9k8xkx4kh3rk2d6e59kywpk3\")\n)\n\nstream = client.chat.completions.create(\n messages=[\n {\n \"role\": \"system\",\n \"content\": \"What is a Rock\"\n }\n ],\n model=\"llama-4-scout-17b-16e-instruct\",\n stream=True,\n max_completion_tokens=2048,\n temperature=0.2,\n top_p=1\n)\n\nfor chunk in stream:\n print(chunk.choices[0].delta.content or \"\", end=\"\")", |
| "size": 617, |
| "language": "python" |
| } |
| }, |
| "_cache_metadata": { |
| "url": "https://github.com/ronelsolomon/cebras.git", |
| "content_type": "github", |
| "cached_at": "2026-03-02T22:49:08.429936", |
| "cache_key": "2aa832db180a76e905044673bb878cbd" |
| } |
| } |
