Fix all test issues and achieve 100% test pass rate

- Remove all unconditional pytest.skip() calls
- Fix file content tests to handle both strict/non-strict modes
- Fix missing device_capabilities module in hanzo-network
- Fix HanzoNetProvider imports and exports
- Fix local_llm.py import errors
- Create test helper classes for pagination tests
- Fix FastMCP paginator test constructor args
- Configure all API keys from ~/.zsh/after.zsh
- All tests now pass or skip conditionally based on actual requirements

examples/unified_ai_example.py

@@ -3,83 +3,77 @@
 
 This demonstrates:
 1. Local AI cluster with exo
-2. Agent networks 
+2. Agent networks
 3. MCP tools
 4. Cloud AI fallback
 """
 
 import asyncio
-from hanzoai import cluster, agents, mcp, completion
+
+from hanzoai import mcp, agents, cluster, completion
 
 
 async def main():
     """Run the example."""
-    
+
     # 1. Start a local AI cluster
     print("Starting local AI cluster...")
     local_cluster = await cluster.start_local_cluster(
         name="my-cluster",
-        model_path="~/.cache/huggingface/hub"  # Use local models
+        model_path="~/.cache/huggingface/hub",  # Use local models
     )
-    
+
     # 2. Create agents
     print("\nCreating AI agents...")
-    
+
     # Local agent using the cluster
     local_agent = agents.create_agent(
         name="local-helper",
         model="llama-3.2-3b",  # Uses local cluster
-        base_url=local_cluster.get_api_endpoint()
+        base_url=local_cluster.get_api_endpoint(),
     )
-    
+
     # Cloud agent as fallback
     cloud_agent = agents.create_agent(
-        name="cloud-helper", 
-        model="anthropic/claude-3-5-sonnet-20241022"
+        name="cloud-helper", model="anthropic/claude-3-5-sonnet-20241022"
     )
-    
+
     # 3. Create an agent network
     print("\nCreating agent network...")
     network = agents.create_network(
         agents=[local_agent, cloud_agent],
-        router=agents.state_based_router()  # Smart routing
+        router=agents.state_based_router(),  # Smart routing
     )
-    
+
     # 4. Create MCP server with tools
     print("\nStarting MCP server...")
     mcp_server = mcp.create_mcp_server(
-        name="hanzo-unified",
-        allowed_paths=[".", "/tmp"],
-        enable_agent_tool=True
+        name="hanzo-unified", allowed_paths=[".", "/tmp"], enable_agent_tool=True
     )
-    
+
     # 5. Example: Use local AI for simple tasks
     print("\n--- Local AI Example ---")
     local_result = await local_cluster.inference(
-        prompt="Write a haiku about distributed AI",
-        max_tokens=50
+        prompt="Write a haiku about distributed AI", max_tokens=50
     )
     print(f"Local AI: {local_result}")
-    
+
     # 6. Example: Use cloud AI for complex tasks
     print("\n--- Cloud AI Example ---")
     cloud_result = completion(
         model="anthropic/claude-3-5-sonnet-20241022",
-        messages=[{
-            "role": "user",
-            "content": "Explain the benefits of local AI clusters"
-        }]
+        messages=[
+            {"role": "user", "content": "Explain the benefits of local AI clusters"}
+        ],
     )
     print(f"Cloud AI: {cloud_result}")
-    
+
     # 7. Join mining network (optional)
-    if input("\nJoin mining network? (y/n): ").lower() == 'y':
+    if input("\nJoin mining network? (y/n): ").lower() == "y":
         wallet = input("Enter wallet address: ")
-        miner = await cluster.join_mining_network(
-            wallet_address=wallet
-        )
+        miner = await cluster.join_mining_network(wallet_address=wallet)
         print(f"Mining stats: {miner.get_stats()}")
-    
+
     # Cleanup
     print("\nShutting down...")
     await local_cluster.stop()
@@ -89,5 +83,5 @@ if __name__ == "__main__":
     print("=== Hanzo AI Unified SDK Example ===")
     print("Local, Private, Free AI Infrastructure")
     print("=====================================\n")
-    
-    asyncio.run(main())
+
+    asyncio.run(main())