Delete test_split_brain.py

test_split_brain.py

@@ -1,27 +0,0 @@
-from app import llm_client, MODEL_NAME
-from agents.split_brain.environment import SplitBrainEnv
-env = SplitBrainEnv()
-env.reset("split_brain")
-# Simulate netops finishing
-env.bypass_established = True
-env.routing_verified = True
-env.state_data.dc1_dc2_connected = True
-env.state_data.network_status = "healthy"
-env.state_data.current_actor = "orchestrator"
-env.state_data.delegation_context = "Bypass routing established and routing verified. Ready for next steps."
-sys, usr = env.get_llm_prompts()
-print(f"System: {sys}\nUser: {usr}")
-completion = llm_client.chat.completions.create(
-    model=MODEL_NAME,
-    messages=[
-        {"role": "system", "content": sys},
-        {"role": "user",   "content": usr},
-    ],
-    temperature=0.1,
-    max_tokens=400,
-)
-print("RAW LLM OUTPUT:")
-print(completion.choices[0].message.content)
-action = env._parse_action(completion.choices[0].message.content)
-print("PARSED ACTION:")
-print(action)