🧠 The Problem: Local AI Models Are Powerful but Messy
If you’ve worked with local LLMs like Llama2, Mistral, or Whisper, you’ve likely faced these issues:

❌ Crippling system slowdowns (Ollama eating up CPU/GPU)
❌ Models crashing mid-inference when overloaded
❌ No seamless fallback to cloud APIs (like OpenAI/Claude)
❌ Manual API juggling when switching models

This pain point frustrated me while working on AI projects, and I realized there had to be a better way. So I built Oblix.ai—an SDK that automatically routes AI workloads between local and cloud based on system conditions.

🚀 What is Oblix?
Oblix is a Python SDK that seamlessly orchestrates AI workloads between local models (Ollama, Llama2, Mistral, Whisper) and cloud-based models (OpenAI, Claude, etc.).

💡 How it works:
✅ Monitors CPU/GPU load and auto-routes AI requests accordingly
✅ Detects network connectivity and falls back to cloud/local as needed
✅ Eliminates manual API switching for AI developers
✅ Runs persistent chat history even across different models

🔧 How to Use Oblix (Code Example)

client = OblixClient(oblix_api_key="your_key")
await client.hook_model(ModelType.OLLAMA, "llama2")
await client.hook_model(ModelType.OPENAI, "gpt-3.5-turbo", api_key="sk-...")
client.hook_agent(ResourceMonitor())
client.hook_agent(ConnectivityAgent())
response = await client.execute("Explain quantum computing")

📌 Why This Matters for AI Developers
With Oblix, you don’t have to worry about:
✅ Manual switching between local/cloud models
✅ Slowdowns from resource-heavy local AI
✅ Your AI breaking when offline

Instead, Oblix handles everything automatically, so you can focus on building instead of debugging AI model execution.

🚀 Try It Out & Share Your Feedback!
We’re launching Oblix.ai and looking for early adopters to help shape the tool. If you work with local & cloud-based AI models, I’d love to hear your thoughts!

🔗 Check it out here → https://www.oblix.ai
💬 Join our Discord for feedback → https://discord.gg/QQU3DqdRpc
I will give starbucks giftcard who can give me feedback.

Let’s make hybrid AI workflows seamless!

🔥 Bonus: Drop a comment below 👇 if you’ve ever struggled with managing local vs cloud AI models—I’d love to hear how you handle it!