add sam2-model code from local machine

workflow/yamls/k8s/ollama/general.md

@@ -0,0 +1,59 @@
+# 🧠 Secure LLM Serving using Ollama on Kubernetes
+
+This workflow launches a **GPU-enabled Ollama server** on a Kubernetes cluster with a secure API gateway. Users can select a model (e.g., `mistral`, `qwen3`, `deepseek`), which will be pulled and served behind a public **Cloudflare Tunnel** with **API key protection**. The resulting endpoint is **OpenAI-compatible** and ready for use in tools like **LangChain**, **OpenWebUI**, or **Postman**.
+
+---
+
+## 🚀 Quick Start
+
+- **Select a Kubernetes Cluster:** Choose your target K8s cluster.  
+- **Set Namespace:** Specify the namespace to deploy in (e.g., `default`, `summer2025interns`).  
+- **Choose Model:** Select a model like `mistral`, `qwen3:4b`, or `deepseek-r1:1.5b`.  
+  > 🔍 **Browse available models** at [https://ollama.com/models](https://ollama.com/models)  
+- **Define Resources:** Pick a GPU-enabled preset or set custom CPU/RAM/GPU limits.  
+- **Run the Workflow:** Deploy and wait for the endpoint to be available.
+
+---
+
+## 🔐 Accessing the API
+
+Once deployed, the system will:
+
+- ✅ Generate a **secure API key**  
+- ✅ Start an **OpenAI-compatible proxy**  
+- ✅ Launch a **Cloudflare Tunnel** to expose the endpoint publicly  
+
+You will receive these credentials in the logs:
+
+- **API Key**  
+- **Public Endpoint (URL)**  
+- **Model Name**
+
+Use them to authenticate with any OpenAI-compatible frontend.
+
+---
+
+## 🧩 AI Integration in Parallel Works
+
+After deployment, the workflow **automatically registers the new model endpoint** as an AI Provider in Parallel Works. This enables:
+
+- Seamless use in **AI Chat** workflows  
+- Easy model selection in downstream **pipelines**  
+- Reuse across teams and namespaces with API key control  
+
+No manual setup needed — everything is handled during execution.
+
+---
+
+## 📡 Integration Example
+
+Example `curl` request:
+
+```bash
+curl https://<your-tunnel>.trycloudflare.com/v1/chat/completions \
+  -H "Authorization: Bearer <your-api-key>" \
+  -H "Content-Type: application/json" \
+  -d '{
+        "model": "mistral",
+        "messages": [{"role": "user", "content": "Hello!"}]
+      }'