Reconnaissance Before Deployment: Auditing Remote Resources for a Memory Manager Rollout

In the middle of a complex deployment sequence, a single SSH command can reveal the difference between a smooth rollout and a catastrophic failure. Message 2302 of this opencode session is precisely such a moment: a seemingly mundane reconnaissance command that embodies the careful, methodical approach required when deploying a critical system component to a production machine. The message consists of a single bash invocation that SSHs into a remote host at 141.0.85.211 and runs three listing commands against the Filecoin proof parameter cache directory:

[assistant] [bash] ssh -p 40612 root@141.0.85.211 'ls /var/tmp/filecoin-proof-parameters/ | head -20; echo "==="; ls -lh /var/tmp/filecoin-proof-parameters/pce-* 2>/dev/null; echo "==="; ls -lh /var/tmp/filecoin-proof-parameters/v28-stacked-proof-of-replication* 2>/dev/null | head -5'

The output reveals the contents of the parameter cache: a pce-porep-32g.bin file (a pre-compiled constraint evaluator for 32 GiB PoRep proofs), various verification key files for the v28 proving system, and crucially, the large SRS (Structured Reference String) parameter files for the stacked proof-of-replication circuit. This information, while simple on its face, represents a critical input to the deployment decisions that follow.

The Strategic Context: Why This Message Exists

To understand why this message was written, one must understand the broader arc of the session. The assistant had just completed a substantial engineering effort: replacing the cuzk GPU proving engine's fragile static concurrency limit with a unified, budget-based memory manager ([msg 2296]). The old system used a partition_workers semaphore that naively limited the number of concurrent proof partitions without accounting for their actual memory consumption. The new system introduced MemoryBudget, MemoryReservation, PceCache with LRU eviction, and budget-aware SRS loading — a sophisticated admission control system that tracks every major memory consumer (SRS pinned GPU memory, PCE heap allocations, synthesis working sets) under a single byte-level budget.

The user's instruction at [msg 2293] was clear: "Commit, test on ssh -p 40612 root@141.0.85.211 which is running curio and cuzk, curio is cordoned; upload new cuzk (built in docker) and test if memory constraints work correctly." This is a production deployment request. The assistant had already committed the changes ([msg 2296]) and performed initial reconnaissance of the remote machine ([msg 2298]–[msg 2300]), discovering a machine with 755 GiB RAM, an RTX 5090 with 32 GiB VRAM, 64 CPU cores, and a running Curio instance. Crucially, the existing configuration at /tmp/cuzk-run-config.toml still used the deprecated preload and partition_workers fields — a configuration that would be incompatible with the new memory manager.

Message 2302 sits at the intersection of two imperatives: the need to understand the remote environment's memory landscape before configuring the new budget system, and the need to verify that the target machine has all required proving artifacts. The assistant is not merely being curious — it is performing a targeted audit of the parameter cache to inform the memory budget configuration that will be applied in subsequent steps.

The Knowledge Required to Interpret This Message

This message cannot be understood in isolation. It draws on several layers of context that the assistant has accumulated over the preceding rounds:

Knowledge of the memory manager architecture: The assistant knows that the new budget system needs to account for SRS size (the v28-stacked-proof-of-replication* files represent ~44 GiB of GPU-pinned SRS data for PoRep 32G), PCE size (the pce-porep-32g.bin file is ~26 GiB of heap-allocated pre-compiled circuit data), and synthesis working sets (~30 GiB per partition). The ls -lh commands with size information are specifically designed to extract byte-level data that will feed into budget calculations.

Knowledge of the remote machine's configuration: From [msg 2301], the assistant knows the config file path (/tmp/cuzk-run-config.toml), the parameter cache location (/var/tmp/filecoin-proof-parameters), and the fact that preload = ["porep-32g"] was set — a directive that the new system handles differently through budget-aware on-demand loading.

Knowledge of the deployment pipeline: The assistant knows it needs to build a cuzk binary in Docker (as revealed by the check for Dockerfile.cuzk at [msg 2303]), upload it, and hot-swap the daemon. The parameter audit is a prerequisite for configuring the new total_budget, safety_margin, and eviction_min_idle settings that will replace the old config.

Knowledge of Filecoin proof semantics: The assistant understands that pce-porep-32g.bin is a pre-compiled constraint evaluator for Proof-of-Replication with 32 GiB sectors, and that v28-stacked-proof-of-replication* files are the SRS parameters for the same circuit. This domain knowledge is essential for mapping file names to memory consumers.

The Thinking Process Visible in This Message

While the message itself is a single bash command, the reasoning behind it is revealed by the sequence of messages that precede and follow it. At [msg 2298], the assistant checked system resources (RAM, GPU, CPU count) and found the binary locations. At [msg 2299], it checked running processes and config file locations. At [msg 2300], it found the config files and logs. At [msg 2301], it read the actual config content. Each step narrows the focus: from system-level resources to process-level state to configuration details to, finally in message 2302, the actual data artifacts on disk.

The progression reveals a systematic reconnaissance methodology:

1. System resources: How much RAM? What GPU? How many cores?
2. Running services: Is cuzk active? What's the deployment state?
3. Configuration: What config file is being used? What are the current settings?
4. Data artifacts: What parameter files exist? What are their sizes? This is the thinking of an engineer who knows that deploying a memory manager to a production machine without understanding its memory footprint is reckless. The assistant is building a mental model of the remote environment before committing to a deployment strategy.

Assumptions and Potential Blind Spots

The message operates under several assumptions that are worth examining:

The parameter cache path is correct: The assistant assumes /var/tmp/filecoin-proof-parameters is the active parameter cache directory, based on the config file at /tmp/cuzk-run-config.toml. If the running Curio process uses a different cache path (perhaps configured elsewhere or via environment variables), the assistant's audit would miss critical files.

The glob patterns capture all relevant files: The command uses pce-* and v28-stacked-proof-of-replication* as glob patterns. This assumes that all PCE files follow the pce-* naming convention and all SRS files follow the v28-stacked-proof-of-replication* convention. If other proof types (WindowPoSt, WinningPoSt, SnapDeals) have differently named parameter files, they would be missed. In fact, the earlier reconnaissance on the local machine at [msg 2281] showed pce-snap-deals-32g.bin, pce-window-post.bin, and pce-winning-post.bin — but the remote machine's listing only shows pce-porep-32g.bin. This could mean the remote machine only has PoRep parameters, or it could mean the other PCE files exist but weren't captured because the head -20 truncated the listing.

The 2>/dev/null suppression hides errors: Both ls -lh commands redirect stderr to /dev/null. If the glob patterns fail to match (e.g., because the files don't exist or the path is wrong), the error is silently swallowed. The empty output between the first and second === delimiters suggests this may have happened — the pce-* glob produced no output, yet the first ls showed pce-porep-32g.bin exists. This discrepancy is a subtle signal that something may be off with the glob or the path.

SSH access is stable: The assistant assumes the SSH connection will succeed and the commands will execute reliably. In production environments, network issues, authentication problems, or resource constraints on the remote machine could cause partial or failed output.

The Output Knowledge Created

Despite these assumptions, the message produces valuable knowledge that feeds directly into the deployment decisions:

1. Confirmation of PoRep parameter availability: The remote machine has both the SRS parameters (v28-stacked-proof-of-replication*) and the PCE (pce-porep-32g.bin) for 32 GiB PoRep proofs. This is the primary proof type the memory manager was designed for, so the deployment target is appropriate.
2. Size information for budget calculation: The ls -lh output (though partially truncated in the message) provides file sizes that inform the total_budget and safety_margin settings. The assistant will later use this information to calculate that SRS consumes ~44 GiB, PCE consumes ~26 GiB, and each partition's working set consumes ~30 GiB — numbers that directly determine how many concurrent proofs can run within a given budget.
3. Verification of cache state: The presence of pce-porep-32g.bin indicates that PCE extraction has been performed at least once on this machine, meaning the proving pipeline has been exercised. This reduces the risk of encountering first-time extraction failures during the deployment test.
4. Baseline for configuration migration: Knowing what parameters exist allows the assistant to craft appropriate total_budget and safety_margin values that account for the baseline memory consumption of SRS + PCE before any proof work begins.

The Broader Significance

Message 2302 is, on its surface, a trivial file listing. But in the context of deploying a memory manager to a production GPU proving machine, it represents a critical safety check. The assistant is not blindly uploading a binary and restarting the daemon — it is methodically auditing the target environment to ensure the new budget-based admission control system can be configured correctly.

This reconnaissance directly enables the subsequent deployment steps. After this message, the assistant will build the binary in Docker ([msg 2303]–[msg 2304]), upload it to the remote machine ([msg 2305]), and begin testing ([msg 2306] onward). The testing will reveal a runtime panic caused by a blocking_lock in an async context ([msg 2311]), followed by concurrency bottlenecks and an OOM kill ([msg 2336]) — all of which trace back to the budget configuration decisions that this reconnaissance was meant to inform.

The message exemplifies a fundamental engineering principle: before you change a running system, understand what it's running on. In a session filled with complex architectural decisions and intricate debugging, this simple SSH command is a reminder that the most important tool in a deploy engineer's kit is not the compiler or the debugger — it's the ability to ask the right questions about the target environment before making changes.