revert: remove Ollama endpoints (llama.cpp uses OpenAI format, not Ollama)

router/router.py

@@ -299,38 +299,6 @@ def chat():
 @app.route("/v1/models")
 def models(): return jsonify({"object":"list","data":[{"id":m,"object":"model","owned_by":"syslog","status":check_gpu_health(m).get("status"),"gpu":check_gpu_health(m).get("gpu_name")} for m in GPU_URLS]})
 
-@app.route("/v1/props")
-def props():
-    """Ollama-compatible model properties endpoint."""
-    props = {}
-    for m in GPU_URLS:
-        h = check_gpu_health(m)
-        props[m] = {
-            "status": h.get("status", "unknown"),
-            "gpu": h.get("gpu_name", m),
-            "max_concurrent": GPU_MAX_CONCURRENT.get(m, 1),
-            "active_requests": gpu_active_count(m),
-            "vram_used_mb": h.get("vram_used_mb"),
-            "vram_total_mb": h.get("vram_total_mb"),
-        }
-    return jsonify({"models": props})
-
-@app.route("/v1/models/<model_id>")
-def model_detail(model_id):
-    """Single model detail — Ollama-compatible."""
-    if model_id in GPU_URLS:
-        h = check_gpu_health(model_id)
-        return jsonify({
-            "id": model_id,
-            "object": "model",
-            "owned_by": "syslog",
-            "status": h.get("status"),
-            "gpu": h.get("gpu_name"),
-            "max_concurrent": GPU_MAX_CONCURRENT.get(model_id, 1),
-            "active_requests": gpu_active_count(model_id),
-        })
-    return jsonify({"error": "model not found"}), 404
-
 @app.route("/health")
 def health():
     gpus = {}