Issue files (.scratch/issues/20-29): retrospective specs for all work done in the current sprint — hardening, route-timeout, start-layer protocol, heartbeat stats, availability map, rolling RPM, smart assignment, throughput routing, routing tests, relay outbound client. ADRs (docs/adr/0011-0014): 0011 — Auto-shard from memory budget and tracker network assignment 0012 — X-Meshnet-Start-Layer overlapping shard execution protocol 0013 — Rolling RPM statistics, smart assignment scoring, throughput routing 0014 — Relay outbound client for NAT/internet pipeline hops prd.json: US-020 through US-029 added, all marked done. ralph_progress.py now shows 29/29 complete (100%). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
4.8 KiB
ADR-0014: Relay outbound client for NAT/internet pipeline hops
Status: Accepted
Context
ADR-0010 describes the relay server: a public WebSocket hub where nodes behind NAT connect outbound and register as reachable peers. That ADR focused on the inbound side: how the tracker reaches a behind-NAT node for the initial chat request.
The pipeline hop problem is different: when node A has the head shard and node B (behind NAT) has the tail shard, node A must forward binary activations to node B for every generated token. Direct HTTP from A to B is blocked. The relay must carry this per-hop activation traffic.
Why this is harder than tracker → node
The tracker-to-node relay (ADR-0010) proxies a single JSON request. The activation hop carries raw bfloat16 tensors — binary data that must survive round-tripping through the relay's JSON message envelope without precision loss.
Also, the relay /rpc/{peer_id} endpoint (one WebSocket connection per request)
must be opened and closed for every token in the autoregressive loop. Latency
of connection setup matters.
Options considered
A. Relay hop (WebSocket per hop, chosen)
Node A opens a WebSocket to wss://relay/rpc/{peer_id_B}, sends the activation,
receives the response, closes. The relay's _handle_rpc forwards it to B's persistent
connection via the existing relay-http-request envelope mechanism.
Pros: reuses the existing relay server unchanged. Each hop is independent; failures don't affect other requests.
Cons: WebSocket connection setup adds ~50–150 ms per hop on a fast relay. For autoregressive inference (N tokens × M hops), this adds up.
B. Persistent per-session tunnel
Node A opens a persistent WebSocket to the relay for the duration of an inference session
and multiplexes all token hops over it.
Pros: amortises connection setup across tokens.
Cons: requires session-level state on the relay; complicates relay shutdown/failover; the current relay is stateless by design. Deferred for a future optimization.
C. Tracker-proxied activations
Route all activation traffic through the tracker's HTTP proxy.
Cons: the tracker is the control plane, not the data plane. High-volume binary tensor traffic through the tracker would saturate it. Rejected.
Decision
Option A — per-hop WebSocket relay. Simple, reuses existing infrastructure, correct. Option B is noted as a future optimization when activation-path latency becomes the bottleneck.
Protocol
Node A opens WS → wss://relay/rpc/{peer_id_B}
Node A sends:
{
"request_id": "<hex>",
"method": "POST",
"path": "/forward",
"headers": { "X-Meshnet-Shape": "...", "X-Meshnet-Start-Layer": "12", ... },
"body_base64": "<base64(bfloat16 tensor)>"
}
Relay forwards to Node B as relay-http-request envelope.
Node B's RelayHttpBridge decodes body_base64, calls POST /forward locally.
Response:
{
"request_id": "<hex>",
"status": 200,
"headers": { "x-meshnet-shape": "...", "content-type": "application/octet-stream" },
"body_base64": "<base64(output tensor)>" ← for binary responses
# OR
"body": "<json string>" ← for text (last-hop decode)
}
Relay sends response JSON back to Node A.
Node A decodes body_base64, continues pipeline.
Binary data through JSON: base64
Raw bfloat16 bytes cannot safely transit JSON (no UTF-8 guarantee, lossy decode).
body_base64 carries the tensor as base64; the bridge decodes it before calling
the local HTTP endpoint, and re-encodes the response. No precision loss.
Text responses (final hop, application/json) use body (plain string) for efficiency.
Fallback
If _relay_hop raises (relay unreachable, peer disconnected), _run_downstream_pipeline
logs a warning and retries via direct HTTP. If both fail, the hop returns a pipeline error
string and the token is skipped.
Tracker injection
The tracker's _handle_proxy_chat includes relay_addr in each downstream hop dict
when the node has one registered:
{"endpoint": "http://172.29.x.x:7002", "start_layer": 12, "relay_addr": "wss://relay/rpc/abc123"}
The head node reads relay_addr from the injected X-Meshnet-Route header and calls
_relay_hop instead of direct HTTP.
Consequences
- Nodes behind NAT (WSL2, 5G, home routers) can now participate in distributed pipeline inference without opening firewall ports
relay_addris a stable registration field; nodes without a relay omit it and receive direct HTTP hops- Per-hop WebSocket setup adds latency proportional to relay RTT; acceptable for prototype, optimize later with persistent tunnels
- Base64 encoding increases payload size by ~33%; acceptable for prototype
- The relay server remains stateless and horizontally scalable; only the persistent per-peer
/wsconnections are stateful