c22c3a309bee3d0f26afbe25bdd41d2a2e4da0a3
5
Commits
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7d97c6b74f |
Install a node's engines on the node, instead of trusting what is there
A node ran whatever llama-server somebody had once unpacked on it. Onboarding checked an engine only when told its path, installed none, and a node with nothing on it registered as ready. The one time that went wrong it went wrong invisibly: the binary was there, executable, and could not start for want of libgomp1, while the node reported healthy. The control plane now says which engines every node has, at which version — `engines:` in server.yaml, defaulting to the llama.cpp build this release was checked against — and each agent converges on it. What only the node can know, the node works out: the build for its processor and driver (CUDA with its runtime when an NVIDIA driver is loaded, CPU otherwise), the OS packages that build needs from its own package sources, and whether the result runs. Every archive is checked against the sha256 GitHub publishes for it and unpacked refusing any path or link that leaves the install directory. ldd names a missing library outright; running `--version` proves the rest. Only then is a directory marked installed, and it is checked again every ten minutes, because an unrelated upgrade can remove a library. An engine is reported only once installed and seen to run, or when the agent's configuration names it on purpose — never because something happened to be on PATH. The agent now says when it has probed, so an empty list means "has none" rather than "too old to say": a node rebuilt from nothing is no longer a candidate for every model at the moment it can run none of them. Placement's refusal carries the node's own words, "installing: downloading llama-b10991-bin-ubuntu-x64.tar.gz (16 MB)", and so do `ctl nodes` and the cluster page, along with a warning for a CPU without AVX2 — the VM CPU type that makes everything five times slower and nothing look wrong. Agents also report their OS, architecture, vector extensions and NVIDIA driver. Onboarding installs llmgw itself from the CI release for the node's architecture, checked against the release's checksums, rather than copying whatever binary the operator's machine had. vLLM and SGLang are not installed yet: they are Python environments of several gigabytes, not an archive, and still have to be named in the agent's configuration. Also fixes a race on the weights fingerprint, which two heartbeat loops touch during a failover. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> |
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20deb22dfa |
Let a node describe itself instead of being described by hand
CI / test (push) Successful in 1m47s
Every agent file on the cluster named its own node, its own address, the path to llama-server and two weight directories — different on every node, kept true by hand, and not true: node05 carried "ram: 32g" beside a measured 31 GB, looked for weights in an empty directory while fetching them into another, and the other four never looked in theirs at all, so four nodes reported no disk. Growing a node's RAM would have gone unnoticed, because memory was read once, at registration. The agent now finds these out. Its id is the hostname, which is also the certificate's common name. Its address is the one on the route to the control plane, which the kernel picks for a UDP dial without sending anything. llama-server is looked for on PATH and then where release archives are unpacked. A missing nvidia-smi is a node without NVIDIA cards rather than a failed discovery — which also cut discovery short before InfiniBand on every CPU node not told to skip GPUs. Fetched weights land in /var/lib/llmgw-weights by default, and wherever they land is always looked in. Memory is read on every heartbeat, and installed engines are probed again each minute and sent when they change, so a VM given more RAM or a node given vLLM becomes a candidate without anyone restarting its agent. The control plane logs both changes, since "the node now qualifies" is the answer to why a model placed an hour after it was asked for. What is written still wins. The agent file shrinks to the control plane's addresses and the TLS files, the same on every node; onboarding writes only the overrides it was given. What cannot be found stays configuration: which fabric an adapter is on, because OpenSM's default prefix is the same on all of them. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> |
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c13c567cc5 |
Know where the weights are, without owning the storage
CI / test (push) Successful in 1m32s
Storage will be different at every installation — Lustre, NFS over RDMA, an image exported with SRP or NVMe-oF, local NVMe, an rsync — so llmgw observes it rather than managing it. An agent told which directories to look in reports what it can see; how the files got there is nobody's business here, and a node told nothing reports nothing and behaves exactly as every node did before this existed. That fact buys two things. Placement prefers a node that already holds the model over one that must first move tens of gigabytes, as a preference and never a filter: fetching them is a valid answer, and refusing to place would turn a slow start into no start at all. And ctl status shows what each fabric holds. Per fabric because fabrics are not connected to one another. Weights in ib-a are not weights in ib-b — the only path between them is the management network — so a model seeded into one fabric leaves the rest of the cluster unable to serve it without a slow copy, and nothing said so before now. One shared filer counts the same as twenty local copies, because "can this fabric serve it" is the question being asked. Three distinctions the tests hold to, because each is a way to get this quietly wrong. A node that was never asked to look must rank with one that looked and has nothing, or enabling the feature on a single node would drain every other. An empty directory is not weights, because a half-finished download looks exactly like one and would send placement to a node whose engine then fails to load. And local storage is never mistaken for shared: a filer read as local costs an unnecessary copy, while local read as shared would have the cluster believe a model is everywhere when it is on one node. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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ec1b6b04df |
Fix an agent that could neither explain itself nor stop
CI / test (push) Successful in 54s
Two bugs found while verifying mTLS against real machines. session cancelled its own derived context and then asked that context whether the agent was shutting down. The answer was always yes, so every stream error read as a clean close: the log said err=<nil>, the backoff reset, and an agent whose certificate the control plane refused hammered it forever at the base interval with nothing to diagnose. It now keeps the parent context to answer that question, and a refusal reaches the operator naming both the certificate and the claim. Cancelling the context also did not stop the agent. HTTP/2 watches the context while the request body is being written, and a bidirectional stream spends its life blocked on the read side instead, so the read never returned. Measured on a deployed node: `systemctl stop llmgw-agent` took 90 seconds and ended in SIGKILL, on every restart. Closing the response when the context ends is what actually unblocks it. TestAgentStopsWhenContextEnds hangs reliably without the second fix, which is the only reason to trust that it tests it. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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2373726efd |
Agent stream: connect the fleet to the control plane
CI / test (push) Failing after 1m29s
One bidirectional connect-go stream per node, carrying registration, heartbeats and shard status up, and start, stop and drain down. The agent dials out: GPU nodes sit behind firewalls far more often than a control plane does, and an outbound connection needs no inbound rule on every node in the fleet. - registration carries the whole hardware inventory, so there is no separate discovery call and a reconnecting agent refreshes what the scheduler knows. The fabric labels travel with it; they cannot be inferred from the wire, so losing them in transit would silently disable multi-node placement. - agentsvc is both the stream handler and the reconciler's dispatcher, because it holds the open streams and is therefore the only thing that can deliver a command to a node. - the agent validates a profile before launching anything, since an engine that refuses a profile does so after minutes of loading, then supervises the process and reports every transition with the engine's output tail on failure. - reconnects forever with jittered backoff. A control plane restart must not require touching every GPU node, and a fleet must not reconnect in lockstep and knock it over again. Engines keep serving throughout, because the router talks to them directly. llmgw agent is real now, and llmgw server runs a control plane whenever any model declares a profile. The static endpoint list stays for router-only runs. Verified with real binaries as separate processes: the agent registers, a replica is placed, an engine launches through the vLLM adapter's actual argument construction, streaming traffic is served, and killing the agent moves the node through unreachable to lost with placement explaining why nothing can run. config.Model and catalog.Model were the same thing described twice, so the router now reads catalog entries directly and the validation rules live in one place. Still missing: mTLS. The stream is plaintext HTTP/2 and must stay on a trusted network until that lands. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |