Not persisting replica state left one hole: restarting the control plane made it forget every replica while the engines kept running. They held GPUs the inventory believed were free, so the next placement failed to allocate, with an error naming the new process rather than the old one. The fix belongs on the agent, not in a database. A row can say "running" about a process that died; the fleet cannot. - the supervisor writes the full shard spec, not just a pid and command line. A pid identifies a process; the spec is what lets it be described back to the control plane and matched to a replica. - Adopt takes over an engine a previous agent left running. It is not this process's child, so it cannot be waited on: it is watched by polling and stopped by signalling its group directly. Its earlier output is gone and the log says so rather than presenting emptiness as silence. - every Register reports what the agent is running, not only the first, because a reconnect may be a control plane restart and has to recover the same way. - the reconciler rebuilds replicas from those reports and reclaims their GPUs. Anything whose model or profile left the catalog is stopped; nothing will route to it and it is holding cards. - an engine the agent cannot identify is killed. A process holding GPUs that nothing can describe is worse than no process, because placement hands those GPUs out again. Stop was also wrong for adopted shards: it checked for an exec.Cmd, which they do not have, and reported them stopped without killing anything. TestAgentReconnects had been passing for no reason. httptest's CloseClientConnections does nothing to an h2c stream — prior-knowledge h2c hijacks the connection and httptest stops tracking hijacked ones — so the agent never reconnected, and the assertion on the connection map passed on a stale entry. Tests now sever connections through their own listener and count opened streams. Plan §11 also records what multi-node still needs, since placement landing early makes it look further along than it is: workers never become Ready because the agent health-checks every shard while only rank 0 serves HTTP; RayCommand is written and tested but never called; and startup is fire-and-forget. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
llmgw
A single-binary LLM gateway for clusters with multiple InfiniBand fabrics and heterogeneous GPUs.
It serves LLMs running on your own GPU servers (vLLM / SGLang) behind one OpenAI-compatible endpoint. Design document: llmgw-plan.md.
Status
Releases track the roadmap phases; see CHANGELOG.md.
| Version | Phase | Scope | State |
|---|---|---|---|
| v0.1.0 | 0 | Skeleton and sim-engine | released |
| v0.2.0 | 1 | Static router (filter/score/pick, streaming proxy) | released |
| v0.3.0 | 1.5 | Admission control (priority bands) | released |
| v0.4.0 | 2 | Agent: GPU/IB discovery, single-node engines | planned |
| v0.5.0 | 3 | Control plane: catalog, scheduler, reconciler | planned |
| v0.6.0 | 4 | Multi-node placement and fabric awareness | planned |
| v1.0.0 | 5 | Tenancy, prefix affinity, benchmarking | planned |
As of v0.3.0 the router serves traffic and protects it: a batch workload no longer starves interactive requests. Still missing before v1.0.0: authentication, rate limits and budgets, and the control plane that replaces the static endpoint list.
Building
make build # bin/llmgw
make test # unit tests
make race # with the race detector
Running the router
# Two fake engines and a router in front of them.
./bin/llmgw sim-engine --listen :8001 --model llama &
./bin/llmgw sim-engine --listen :8002 --model llama &
./bin/llmgw server \
--endpoint e1=http://127.0.0.1:8001=llama \
--endpoint e2=http://127.0.0.1:8002=llama
curl -N localhost:8080/v1/chat/completions \
-H 'content-type: application/json' \
-H 'x-session-id: demo' \
-d '{"model":"llama","messages":[{"role":"user","content":"hello"}],"stream":true}'
For anything real use a config file; deploy/examples/server.yaml
is commented throughout. Metrics, health and pprof are on the admin port (:9090
by default), deliberately separate from the client-facing one.
Requests carry a priority band (x-llmgw-band). Under load, low bands wait at
the gateway while high bands keep flowing, so the cluster degrades from the
bottom up instead of everywhere at once. Measured effect: interactive p99 stays
within 1.24x of idle while 500 concurrent batch requests run, against 58x with
admission off.
Routing profiles select how endpoints are scored: chat favours session
affinity, batch favours the shortest queue, long-context favours free KV
cache. Pick one per model in the config, or per request with the
x-llmgw-profile header.
sim-engine
Simulates the inference-engine behaviours the router cares about, so the router can be developed and tested without GPUs. What it models:
- continuous batching (bounded number of concurrent sequences)
- KV cache block accounting, queueing once blocks run out (head-of-line blocking included)
- automatic prefix caching (chained block hashes plus an LRU) and its effect on time to first token
- per-token latency growing with batch size
- dropping a request and freeing its blocks when the client disconnects
/metricsusing vLLM's metric names
./bin/llmgw sim-engine --listen :8000 --model llama-3.3-70b
curl -N localhost:8000/v1/chat/completions \
-H 'content-type: application/json' \
-d '{"messages":[{"role":"user","content":"hello"}],"max_tokens":8,"stream":true}'
Tune load and latency behaviour with --max-num-seqs, --num-gpu-blocks,
--prefill-tps, --decode-tps, --batch-contention and
--prefix-cache-blocks. For chaos testing use --fail-rate, and --seed for
deterministic runs.
The engine metric contract
For the router to make routing decisions an engine must expose these three metrics (plan §7.6). sim-engine publishes them under vLLM's real names:
vllm:num_requests_running
vllm:num_requests_waiting
vllm:kv_cache_usage_perc
Adding support for a new engine means satisfying that contract. Metric names drift between versions, so the name mapping is configurable.
Module path
gitea.mynodes.xyz/ilker/llmgw. To change it:
make rename NEW=git.example.com/team/llmgw
Language
Code, comments, tests, commit messages and documentation are in English.