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Graph/resource-budget-overrun

Pattern

Resource Budget Overrun

resource-budget-overrun

Memory- and context-budget checks assume fixed costs, but dequantization, controller headroom, verbose tool payloads, and unbounded model thinking inflate demand until OOMs or timeouts occur, breaking image-to-video and LLM tool workflows under load.

Node Details

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Updated6/26/2026

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30 linked nodes

your token-counting / budget-calibration state had no durable backing. Tension: it just exposes that your token-counting / budget-calibration state had no durable backing. Outcome: The fix is to stop relying on process memory for state that has to survive a restart.

The above code is running out of memory with 3 executors with 30 GB memory and 5 GB memory overhead. Outcome: Even with `maxFilesPerTrigger`, probably 200 files are too much for 3 executors.

the model kept running at a clamped lower tier ("high") — a config setting meant to raise an agent's reasoning/thinking effort. Outcome: the limit was purely in the framework's resolution layer.

Buffer overflow cannot be demonstrated reliably

stack layout and register allocation are subject to a great amount of optimization — An attempt to interfere this process nondeterministically. Tension: benchmarks will become useless. Outcome: nondeterministic performance.

strcpy(result + rlen, ...) — array_to_string_internal in array.c builds a concatenated string using RESIZE_MALLOCED_BUFFER. Tension: Buffer growth is driven by int arithmetic (rlen/rsize/reg/slen). Outcome: memory corruption.

planning LLM workloads on Google Cloud / Vertex AI funded by Google for Startups (GFS) Cloud Program credits (or the $300 Free Trial credit). Tension: It is unclear which models the credits actually pay for. Outcome: Picking a partner model for a credit-funded pipeline silently bills real dollars, while the equivalent first-party or self-hosted path would have been free against the grant.

java.lang.OutOfMemoryError: Java heap space — When running the app in the dev environment (Gradle based), the app is running without any problem. If I build a jlink image of this app. Tension: I know about "Xmx" option, but this is not the solution. Outcome: the same line will throw.

Dynamic memory allocation is ill-advised in any event in most small scale and real-time embedded applications — in most small scale and real-time embedded applications. Tension: non-deterministic timing, the need to deal with the potential for failure and memory exhaustion. Outcome: particularly ill-advised in (and generally prohibited) safety critical systems.

108 consecutive 429s in ~90 minutes — A Node.js rate limit proxy sitting between agents and the Anthropic API tracked token usage and budget calibration entirely in memory. Tension: The proxy thought it had 100% budget remaining when the Anthropic-side window was actually exhausted.

one-byte heap buffer over-read (CVE-2022-48303) in its base-256 (binary) numeric field decoder — GNU tar 1.34 (src/list.c, function `from_header`). Outcome: unbounded heap over-reads until an overflow check or segfault.

retrieval scoring omitted recency decay, normalized momentum, live-state retrieval bias, and multiplicative tier boost — A Phase 3 memory subsystem review found deviations from the authoritative memory spec. Tension: short-term memories were still eligible for episodic retrieval; the memory daemon did not reconnect after LISTEN connection errors; ILIKE patterns used unescaped user text; extractor errors could disappear from fire-and-forget timeouts; and memory migrations lacked partitioning/seed data details. Outcome: Read the corrective spec and compared it against the current TypeScript memory implementation, migrations, and tests.

runtime updates looked up rows by id only — After converting a memory events table to range partitioning by occurred_at. Tension: review found two production risks.

Common mistakes: (1) not calling RemovePlayer on disconnect causing memory leaks, (2) unbounded stack growth, (3) broadcasting undo notices to all players instead of just the owner, (4) not removing objects from undo stacks when they're picked up — Sandbox-style games need per-player undo stacks. Tension: allowing players to undo weapons out of other players' hands.

A heap buffer overflow vulnerability exists in binutils BFD library when processing compressed ELF sections — when decompressing a section marked with SHF_COMPRESSED flag. Outcome: causing the decompression function to read far beyond the allocated buffer boundary.

developers try to manually place hundreds of GameObjects or use particle systems for environmental detail — In s&box, scattering foliage, rocks, grass, and other environmental detail objects uses the Clutter system. Tension: missing the GPU-instanced Clutter system that handles thousands of objects efficiently.

Heap buffer overflow in GRUB2's PNG image loader — when processing crafted 16-bit grayscale PNG images without alpha. Tension: grub_png_convert_image() advances destination pointer by 4 bytes per pixel for 16-bit gray images, but the destination bitmap is allocated as RGB_888 (3 bytes/pixel). Outcome: causing heap OOB write of width*height bytes past the bitmap buffer.

memory leak in binutils display_debug_abbrev — readelf/objdump --debug-dump=abbrev. Outcome: an attacker can drive unbounded heap growth and DoS the tool.

Tension: The code falls back to a heap allocation `buf = malloc(l * sizeof(char))` where `l` is only the header length. Outcome: the message body is later written into `buf + l`, it overflows the chunk by ~vl bytes of attacker-controlled data.

integer underflow vulnerability in the search_impl function — When searching backward for a pattern within a string. Tension: the calculation of the remaining 'post' substring size uses a flawed formula. Outcome: This leads to memory corruption when the oversized substring is later accessed.

suffers an unbounded memory allocation (DoS) — when processing a crafted ELF file.

Ghostscript 9.50 (psi/zfsample.c) has a use-after-free in sampled_data_finish — compacting/moving GC. Tension: Two C local variables cache raw pointers into GC-managed objects.

the 5B Q5_K_M GGUF model gets further but OOMs during text encoder (umt5-xxl) dequantization — Wan 2.2 Image-to-Video models (14B and 5B GGUF). Tension: the token embedding expansion from quantized to float requires ~18GB peak system RAM. Outcome: it still fails if system RAM is constrained.

With --novram (full CPU offload), it still fails if system RAM is constrained — With --novram (full CPU offload). Tension: cgroup/systemd memory limits kill the process before swap is fully utilized. Outcome: Adding 16GB swap doesn't help.

Features built on optional capabilities silently degrade across the client matrix. Outcome: Community 4's transport bugs and Community 103's capability detection failures are two symptoms of the same architectural constraint.

Tension: attacker-controlled sizes from PAX extended headers. Outcome: triggering a SIGSEGV/stack exhaustion.

Running Wan 2.2 image-to-video GGUF models (14B/5B) in ComfyUI on a GTX 1080 Ti with 11GB VRAM causes out-of-memory crashes even when using --lowvram and --novram flags.

MCP graph traversal tools (e.g., burst/explore/recall) were returning full node properties for every node in a multi-hop result, causing large responses (3,000–8,000 tokens per call). This token bloat wastes context because agents usually only need to inspect a few nodes before deciding what to expand.

429s from OpenAI (RPM limit exceeded) — We have ~200 autonomous agents hitting our internal API gateway. Tension: Cascading retries amplifying the load. Outcome: P99 latency spikes to 30+ seconds.

repeatedly received HTTP 429 RESOURCE_EXHAUSTED — A local multi-agent benchmark using Gemini 2.5 Flash. Tension: Initial exponential backoff retried quickly and treated it like a transient RPM burst, but the Google error details identified `GenerateRequestsPerDayPerProjectPerModel-FreeTier`. Outcome: the project/model daily free-tier request bucket was exhausted.

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