Resource-Exhaustion on ErrorVault — Developer Error Code Dictionary

Fix clw-prompt-exhausted: Resolve Prompt Token Limit Exhaustion

Sun, 09 Aug 2026 10:20:04 +0800

Fix clw-prompt-exhausted: Resolve Prompt Token Limit Exhaustion

The clw-prompt-exhausted error occurs in OpenClaw when the maximum allowed prompt tokens have been consumed during a single operation or within a billing period. This resource exhaustion typically manifests when processing large files, running complex multi-step tasks, or attempting to execute commands that exceed configured token budgets. Understanding the underlying mechanics of prompt consumption and implementing proper management strategies is essential for maintaining productive workflows in OpenClaw environments.

Fix clw-memory-timeout: Resolve OpenClaw Memory Timeout Errors

Thu, 06 Aug 2026 00:44:04 +0800

1. Symptoms

The clw-memory-timeout error manifests when the OpenClaw runtime detects that a memory-intensive operation has exceeded its allocated execution window. This error typically appears during container initialization, workload scheduling, or resource-intensive data processing pipelines where memory allocation requests cannot be fulfilled within the expected timeframe.

When this error occurs, operators will observe the following indicators in their OpenClaw deployment logs:

[ERROR] clw-memory-timeout: Memory allocation request exceeded timeout threshold
[TIMESTAMP] Worker node: worker-node-03 | Memory usage: 94.2% | Available swap: 0%
[WARN] GC pause duration: 2847ms (threshold: 2000ms)
[ERROR] Operation: heap-compaction | Duration: 45000ms | Limit: 30000ms
[FATAL] Unable to complete memory reclamation before deadline

In the OpenClaw CLI, the error presents itself with an exit code of 137 and a descriptive message:

Fix clw-agent-exhausted: CloudWatch Agent Resource Pool Exhaustion

Fri, 31 Jul 2026 00:44:04 +0800

1. Symptoms

The clw-agent-exhausted error manifests when the OpenClaw CloudWatch agent reaches its maximum concurrent log processing capacity. This error typically appears during high-volume log ingestion scenarios or when the agent is configured with insufficient worker threads to handle the incoming log stream volume.

Common indicators include:

Error message: clw-agent-exhausted: Maximum concurrent requests exceeded for CloudWatch Logs agent
Log entries showing partial log delivery or dropped log lines
CloudWatch agent process consuming excessive CPU and memory
Intermittent log gaps in CloudWatch Logs console despite logs being generated
API throttling responses from the CloudWatch Logs endpoint (ThrottlingException)
Agent status showing “running” but with degraded throughput performance

Shell output examples:

Fix clw-gpu-exhausted: GPU Compute Resources Fully Allocated

Mon, 20 Jul 2026 00:44:04 +0800

1. Symptoms

The clw-gpu-exhausted error occurs when attempting to launch new GPU-accelerated compute instances or allocate additional GPU resources through the OpenClaw platform. Users encounter this error during critical deployment workflows, particularly when scaling machine learning workloads, running distributed training jobs, or provisioning inference endpoints.

Shell Output Examples:

When using the OpenClaw CLI (clw), the error manifests in several distinguishable ways depending on the operation:

$ clw compute launch --instance-type gpu-standard --count 2
Error: clw-gpu-exhausted
GPU compute resources exhausted in region us-west-2.
Current allocation: 8/8 units. Retry after 2024-01-15T18:00:00Z
Request ID: req_7f3a9c2d8e1b

$ clw training submit --config ./ml_config.yaml
[ERROR] Failed to provision GPU workers: clw-gpu-exhausted
The requested 4x NVIDIA A100 GPUs exceed available capacity (0/2 available)

$ clw inference deploy --model deeplearning-model-v3 --replicas 3
CRITICAL: clw-gpu-exhausted
Region: eu-central-1
Available GPU memory: 0 GB / 80 GB
Recommended action: Scale down existing workloads or select alternate region

Additional observable symptoms include failed autoscaling events where GPU-enabled node pools cannot scale beyond current limits, pending reservation requests that remain unsatisfied for extended periods, and dashboard indicators showing GPU utilization at 100% across all available compute nodes in the target region.

Fix clw-worker-oom: OpenClaw Worker Process Out of Memory

Thu, 21 May 2026 07:56:04 +0800

1. Symptoms

The clw-worker-oom error manifests through several observable symptoms that can help you quickly identify a memory exhaustion issue in your OpenClaw worker processes.

Primary Symptoms:

[ERROR] Worker process terminated unexpectedly. Exit code: 137 [clw-worker-oom] Worker worker-02 exceeded memory limit: 2147483648 bytes [clw] Memory utilization: 100.0% of 2048MB limit [clw] Active tasks: 12 | Completed: 847 | Failed: 3


**Process-Level Indicators:**

```bash
# Check for OOM killer invocations
dmesg | grep -i "out of memory"
# Output: [12345.678] Worker invoked oom-killer: pid 12345, uid 1000

# Check worker process memory usage
ps aux | grep clw-worker
# Output:
# USER       PID    %CPU   %MEM    VSZ      RSS     COMMAND
# clw        1234   45.2   95.3    3145728  2097152 clw-worker --id=worker-02

Application-Level Symptoms: