feat(us-026): smart model assignment via demand×coverage scoring

/v1/network/assign now scores models by (demand_rpm + 1) × (coverage_deficit + 0.01)
so high-traffic, under-covered models are preferred when assigning new nodes.
Response includes price_per_token: 0.0 (reserved for future pricing protocol).
--memory MB flag added to node CLI to override autodetected VRAM budget for
shard assignment without changing hardware detection for inference.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Dobromir Popov
2026-06-30 13:42:43 +03:00
parent d9110b623b
commit 27818df654
3 changed files with 33 additions and 6 deletions

View File

@@ -27,6 +27,7 @@ def _run_node(cfg: dict) -> None:
cache_dir=Path(cfg["download_dir"]) if cfg.get("download_dir") else None,
host=cfg.get("host", "0.0.0.0"),
route_timeout=float(cfg.get("route_timeout", 30.0)),
vram_mb_override=cfg.get("vram_mb_override"),
)
except Exception as exc:
print(f"\nERROR: {exc}", file=sys.stderr, flush=True)
@@ -89,6 +90,8 @@ def _cmd_default(args) -> int:
overrides["host"] = args.host
if args.route_timeout != 30.0:
overrides["route_timeout"] = args.route_timeout
if getattr(args, "memory", None) is not None:
overrides["vram_mb_override"] = args.memory
if overrides:
cfg = merge_cli_overrides(cfg, **overrides)
@@ -177,6 +180,7 @@ def _cmd_start(args) -> int:
host=cfg["host"],
advertise_host=getattr(args, "advertise_host", None),
route_timeout=getattr(args, "route_timeout", 30.0),
vram_mb_override=getattr(args, "memory", None),
)
except Exception as exc:
print(f"ERROR: {exc}", file=sys.stderr, flush=True)
@@ -218,6 +222,8 @@ def main() -> None:
parser.add_argument("--host", metavar="ADDR", help="Interface to bind (default 0.0.0.0)")
parser.add_argument("--route-timeout", type=float, metavar="SEC", default=30.0,
help="Seconds to wait for tracker route lookup (default 30)")
parser.add_argument("--memory", type=int, metavar="MB", default=None,
help="Override autodetected VRAM/RAM budget in MB used for shard assignment")
parser.add_argument("--no-tui", action="store_true", help="Plain-text output (no rich dashboard)")
parser.add_argument("--compact", action="store_true", help="Single-line status output")
parser.add_argument("--reset-config", action="store_true", help="Re-run wizard even if config exists")
@@ -248,6 +254,8 @@ def main() -> None:
start_cmd.add_argument("--download-dir")
start_cmd.add_argument("--route-timeout", type=float, default=30.0,
help="Seconds to wait for tracker route lookup (default 30)")
start_cmd.add_argument("--memory", type=int, default=None, metavar="MB",
help="Override autodetected VRAM/RAM budget in MB used for shard assignment")
args = parser.parse_args()

View File

@@ -141,6 +141,7 @@ def run_startup(
advertise_host: str | None = None,
contracts: Any | None = None,
route_timeout: float = 30.0,
vram_mb_override: int | None = None,
) -> StubNodeServer | TorchNodeServer:
"""Execute the full startup sequence and return a running node server.
@@ -177,7 +178,10 @@ def run_startup(
gpu_name: str | None = hw.get("gpu_name")
vram_mb: int = hw.get("vram_mb", 0)
if device == "cpu":
if vram_mb_override is not None:
vram_mb = vram_mb_override
print(f" Memory budget overridden to {vram_mb} MB via --memory", flush=True)
elif device == "cpu":
print(" WARNING: No CUDA GPU detected — running in CPU mode", flush=True)
else:
print(f" GPU: {gpu_name} ({vram_mb} MB VRAM)", flush=True)

View File

@@ -1550,8 +1550,17 @@ class _TrackerHandler(http.server.BaseHTTPRequestHandler):
if n.hf_repo not in repo_layers or n.num_layers > repo_layers[n.hf_repo]:
repo_layers[n.hf_repo] = n.num_layers
# Pick the repo where the gap is largest (most work to do).
# Smart scoring: demand_rpm × coverage_deficit
# coverage_deficit = uncovered_layers / total_layers (0 = fully covered)
# demand_rpm comes from the stats collector; defaults to 0.0 when no traffic yet.
demand_rpms: dict[str, float] = {}
if server.stats is not None:
local_rpms = server.stats.get_local_rpms()
for repo in repo_groups:
demand_rpms[repo] = local_rpms.get(repo, {}).get("rpm_last_hour", 0.0)
best_repo = None
best_score = -1.0
best_gap_size = -1
best_gap_start = 0
best_num_layers = 0
@@ -1569,8 +1578,13 @@ class _TrackerHandler(http.server.BaseHTTPRequestHandler):
gap_start = max(gap_start, e + 1)
else:
break
gap_size = max(0, (total - 1) - gap_start + 1) # layers remaining uncovered
if gap_size > best_gap_size:
gap_size = max(0, (total - 1) - gap_start + 1)
coverage_deficit = gap_size / max(total, 1)
demand = demand_rpms.get(repo, 0.0)
# +1.0 floor on demand so models with no recorded traffic still compete by coverage.
score = (demand + 1.0) * (coverage_deficit + 0.01)
if score > best_score or (score == best_score and gap_size > best_gap_size):
best_score = score
best_gap_size = gap_size
best_gap_start = gap_start
best_repo = repo
@@ -1578,8 +1592,8 @@ class _TrackerHandler(http.server.BaseHTTPRequestHandler):
gap_found = best_gap_size > 0
if not gap_found:
# All shards are covered — still assign to the model with most nodes for redundancy.
best_repo = max(repo_groups, key=lambda r: len(repo_groups[r]))
# All shards covered — assign to highest-demand model for redundancy.
best_repo = max(repo_groups, key=lambda r: demand_rpms.get(r, 0.0))
best_gap_start = 0
best_num_layers = repo_layers[best_repo]
@@ -1599,6 +1613,7 @@ class _TrackerHandler(http.server.BaseHTTPRequestHandler):
"shard_end": shard_end,
"num_layers": total_l,
"gap_found": gap_found,
"price_per_token": 0.0,
})
def _handle_route(self, parsed: urllib.parse.ParseResult):