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>
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@@ -27,6 +27,7 @@ def _run_node(cfg: dict) -> None:
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cache_dir=Path(cfg["download_dir"]) if cfg.get("download_dir") else None,
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host=cfg.get("host", "0.0.0.0"),
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route_timeout=float(cfg.get("route_timeout", 30.0)),
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vram_mb_override=cfg.get("vram_mb_override"),
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)
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except Exception as exc:
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print(f"\nERROR: {exc}", file=sys.stderr, flush=True)
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@@ -89,6 +90,8 @@ def _cmd_default(args) -> int:
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overrides["host"] = args.host
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if args.route_timeout != 30.0:
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overrides["route_timeout"] = args.route_timeout
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if getattr(args, "memory", None) is not None:
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overrides["vram_mb_override"] = args.memory
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if overrides:
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cfg = merge_cli_overrides(cfg, **overrides)
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@@ -177,6 +180,7 @@ def _cmd_start(args) -> int:
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host=cfg["host"],
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advertise_host=getattr(args, "advertise_host", None),
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route_timeout=getattr(args, "route_timeout", 30.0),
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vram_mb_override=getattr(args, "memory", None),
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)
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except Exception as exc:
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print(f"ERROR: {exc}", file=sys.stderr, flush=True)
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@@ -218,6 +222,8 @@ def main() -> None:
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parser.add_argument("--host", metavar="ADDR", help="Interface to bind (default 0.0.0.0)")
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parser.add_argument("--route-timeout", type=float, metavar="SEC", default=30.0,
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help="Seconds to wait for tracker route lookup (default 30)")
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parser.add_argument("--memory", type=int, metavar="MB", default=None,
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help="Override autodetected VRAM/RAM budget in MB used for shard assignment")
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parser.add_argument("--no-tui", action="store_true", help="Plain-text output (no rich dashboard)")
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parser.add_argument("--compact", action="store_true", help="Single-line status output")
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parser.add_argument("--reset-config", action="store_true", help="Re-run wizard even if config exists")
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@@ -248,6 +254,8 @@ def main() -> None:
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start_cmd.add_argument("--download-dir")
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start_cmd.add_argument("--route-timeout", type=float, default=30.0,
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help="Seconds to wait for tracker route lookup (default 30)")
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start_cmd.add_argument("--memory", type=int, default=None, metavar="MB",
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help="Override autodetected VRAM/RAM budget in MB used for shard assignment")
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args = parser.parse_args()
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@@ -141,6 +141,7 @@ def run_startup(
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advertise_host: str | None = None,
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contracts: Any | None = None,
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route_timeout: float = 30.0,
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vram_mb_override: int | None = None,
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) -> StubNodeServer | TorchNodeServer:
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"""Execute the full startup sequence and return a running node server.
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@@ -177,7 +178,10 @@ def run_startup(
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gpu_name: str | None = hw.get("gpu_name")
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vram_mb: int = hw.get("vram_mb", 0)
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if device == "cpu":
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if vram_mb_override is not None:
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vram_mb = vram_mb_override
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print(f" Memory budget overridden to {vram_mb} MB via --memory", flush=True)
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elif device == "cpu":
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print(" WARNING: No CUDA GPU detected — running in CPU mode", flush=True)
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else:
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print(f" GPU: {gpu_name} ({vram_mb} MB VRAM)", flush=True)
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@@ -1550,8 +1550,17 @@ class _TrackerHandler(http.server.BaseHTTPRequestHandler):
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if n.hf_repo not in repo_layers or n.num_layers > repo_layers[n.hf_repo]:
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repo_layers[n.hf_repo] = n.num_layers
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# Pick the repo where the gap is largest (most work to do).
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# Smart scoring: demand_rpm × coverage_deficit
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# coverage_deficit = uncovered_layers / total_layers (0 = fully covered)
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# demand_rpm comes from the stats collector; defaults to 0.0 when no traffic yet.
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demand_rpms: dict[str, float] = {}
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if server.stats is not None:
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local_rpms = server.stats.get_local_rpms()
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for repo in repo_groups:
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demand_rpms[repo] = local_rpms.get(repo, {}).get("rpm_last_hour", 0.0)
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best_repo = None
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best_score = -1.0
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best_gap_size = -1
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best_gap_start = 0
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best_num_layers = 0
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@@ -1569,8 +1578,13 @@ class _TrackerHandler(http.server.BaseHTTPRequestHandler):
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gap_start = max(gap_start, e + 1)
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else:
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break
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gap_size = max(0, (total - 1) - gap_start + 1) # layers remaining uncovered
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if gap_size > best_gap_size:
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gap_size = max(0, (total - 1) - gap_start + 1)
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coverage_deficit = gap_size / max(total, 1)
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demand = demand_rpms.get(repo, 0.0)
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# +1.0 floor on demand so models with no recorded traffic still compete by coverage.
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score = (demand + 1.0) * (coverage_deficit + 0.01)
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if score > best_score or (score == best_score and gap_size > best_gap_size):
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best_score = score
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best_gap_size = gap_size
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best_gap_start = gap_start
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best_repo = repo
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@@ -1578,8 +1592,8 @@ class _TrackerHandler(http.server.BaseHTTPRequestHandler):
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gap_found = best_gap_size > 0
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if not gap_found:
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# All shards are covered — still assign to the model with most nodes for redundancy.
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best_repo = max(repo_groups, key=lambda r: len(repo_groups[r]))
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# All shards covered — assign to highest-demand model for redundancy.
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best_repo = max(repo_groups, key=lambda r: demand_rpms.get(r, 0.0))
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best_gap_start = 0
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best_num_layers = repo_layers[best_repo]
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@@ -1599,6 +1613,7 @@ class _TrackerHandler(http.server.BaseHTTPRequestHandler):
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"shard_end": shard_end,
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"num_layers": total_l,
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"gap_found": gap_found,
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"price_per_token": 0.0,
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})
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def _handle_route(self, parsed: urllib.parse.ParseResult):
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