Commit Graph

15 Commits

Author SHA1 Message Date
Dobromir Popov
ccb69c41e3 new tasks, model pricing, auto quantisation, etc... 2026-07-06 17:11:53 +03:00
Dobromir Popov
ee2711a38a new model support 2026-07-06 15:51:51 +03:00
Dobromir Popov
b6272db93d feat: default quantization int8, GB display, shard heal cycle test
- cli.py: change default --quantization from bfloat16 to int8; saves
  ~50% VRAM/RAM for new nodes that don't specify a quantization
- startup.py: display memory budget and GPU info in GB (e.g. 124.9 GB RAM)
  instead of MB; show remaining headroom after full model load
- test_tracker_routing.py: add test_shard_heal_cycle_surviving_node_covers_dead_peers_gap
  — end-to-end proof that:
    1. tracker purges expired node A and queues LOAD_SHARD for node B
    2. node B receives directive on next heartbeat
    3. TorchNodeServer.apply_tracker_directives hot-swaps the backend
    4. node B re-registers covering the full model; coverage gap closed
  Test runs in <1s with monkeypatched _load_backend (no GPU needed)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-30 23:08:34 +03:00
Dobromir Popov
f1e4ed6a32 Wire node memory and shard slot capabilities 2026-06-30 21:17:07 +02:00
Dobromir Popov
5fe471d8ca less verbose node hop if not in debug mode 2026-06-30 17:44:21 +03:00
Dobromir Popov
1da088926a Merge branch 'master' of https://git.d-popov.com/popov/neuron-tai 2026-06-30 17:27:12 +03:00
Dobromir Popov
c587e02c2c auto find next available local port 2026-06-30 16:21:17 +02:00
Dobromir Popov
df473ef278 fix LAN discovery/connection 2026-06-30 16:16:20 +02:00
Dobromir Popov
27818df654 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>
2026-06-30 13:42:43 +03:00
Dobromir Popov
e1ba120912 feat(us-021): --route-timeout CLI flag for node tracker route lookup
Default 30s replaces the hardcoded 5s. Wired through TorchNodeServer →
_TorchHTTPServer → _get_remaining_route. Available on both the legacy
`start` subcommand and the default wizard path.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-30 13:06:00 +03:00
Dobromir Popov
1bdfce657d inference working 2026-06-29 23:54:35 +03:00
Dobromir Popov
dbf856f497 feat: tracker-as-first-layer-node inference entry point (US-014)
- Tracker: add GET /v1/tracker-nodes/<model> returning nodes registered
  with tracker_mode=true whose shard_start matches the model's first layer
- Node: StubNodeServer and TorchNodeServer accept tracker_mode/tracker_url;
  when tracker_mode=True (or auto-detected via shard_start==0 for Torch),
  /v1/chat/completions is served alongside /forward
- TorchNodeServer: full pipeline implementation — encode_prompt → route
  selection via tracker → binary forward through remaining hops → decode
- Gateway: _handle_chat_completions checks _get_tracker_nodes() first and
  proxies round-robin to tracker-nodes; falls back to existing direct
  pipeline when none found (preserves all US-005 backward compat)
- CLI: --tracker-mode and --tracker-url flags added to meshnet-node start
- Test: two stub tracker-nodes + two mid-shard nodes for gpt2; 10 requests;
  round-robin 5/5 split verified; all OpenAI-format responses validated
- All 78 tests pass

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-29 16:59:32 +03:00
Dobromir Popov
2690d9b9ba feat: add real PyTorch model backend 2026-06-29 15:54:40 +03:00
Dobromir Popov
0199c99f6b feat: add node startup flow 2026-06-29 01:30:12 +03:00
Dobromir Popov
1141b51286 feat: scaffold meshnet monorepo 2026-06-29 00:28:29 +03:00