Fix clw-api-exhausted: OpenClaw API quota exhausted during high-volume calls

OpenClaw Intermediate Linux macOS Windows Docker

1. Symptoms

The clw-api-exhausted error in OpenClaw manifests during API interactions when the service detects quota overuse. This typically halts computations or data fetches, returning a structured error response.

Common symptoms include:

  • API calls failing mid-session with immediate rejection.
  • Console or log output showing quota depletion warnings.
  • Reduced throughput in batch processing scripts.
  • Dashboard alerts in the OpenClaw console indicating “API Exhausted”.

Error: clw-api-exhausted
Message: API quota exhausted for account 'user123'. Daily limit of 10,000 calls reached.
Remaining: 0/10000
Retry after: 2024-10-18T23:59:59Z
HTTP Status: 429 Too Many Requests

In Python SDK usage:

Traceback (most recent call last):
  File "compute.py", line 45, in <module>
    result = client.run_compute(job_config)
openclaw.exceptions.APIExhaustedError: clw-api-exhausted: Quota exceeded. Upgrade to Pro plan or wait for reset.

Node.js example:

OpenClawError: clw-api-exhausted
    at Client.runCompute (/node_modules/openclaw-sdk/index.js:234:15)
    {
      code: 'clw-api-exhausted',
      message: 'API quota exhausted. Calls today: 10001/10000',
      retryAfter: 3600
    }

Rust crate users see:

Error { kind: ApiExhausted, message: "clw-api-exhausted: Quota limit hit" }

Performance degrades: scripts that previously processed 1,000 jobs/min now stall after 500. Network traces show 429 responses with X-RateLimit-Remaining: 0 headers. This error blocks CI/CD pipelines, data pipelines, and real-time apps relying on OpenClaw’s compute API.

2. Root Cause

OpenClaw enforces strict quotas to manage shared resources:

  • Free tier: 10,000 calls/day, 100/minute.
  • Pro tier: 100,000 calls/day, 1,000/minute.
  • Enterprise: Custom limits.

The clw-api-exhausted triggers when:

  1. Cumulative calls exceed daily/hourly limits.
  2. No backoff logic in client code amplifies bursts.
  3. Parallel workers (e.g., multiprocessing) ignore shared quotas.
  4. Forgotten polling loops consume quota silently.
  5. Account-level limits shared across all API keys/apps.

Internally, OpenClaw uses Redis for sliding-window counters. Exceeding increments a ban flag until reset (UTC midnight).

Examine headers in failed responses:

X-RateLimit-Limit: 10000
X-RateLimit-Remaining: 0
X-RateLimit-Reset: 1729324800

Root causes from traces:

  • Tight loops without time.sleep().
  • Unbounded fan-out in async tasks.
  • No quota prefetch via /v1/account/quota endpoint.

This is not a bug but a deliberate throttle. Ignoring it risks permanent bans.

3. Step-by-Step Fix

Resolve by monitoring quotas, adding retries, batching, and scaling plans.

Step 1: Query Current Quota

Fetch usage before heavy loads.

import openclaw

client = openclaw.Client(api_key="your_key")
quota = client.get_quota()
print(f"Remaining: {quota.remaining_daily}/{quota.limit_daily}")

Step 2: Implement Exponential Backoff Retry

Wrap API calls in a retry decorator handling 429s.

Before:

import openclaw
import time

client = openclaw.Client(api_key="your_key")

for i in range(10000):  # Exceeds quota fast
    result = client.run_compute({"task": f"job-{i}"})
    print(result)
# Fails with clw-api-exhausted after ~5000 calls

After:

import openclaw
import time
from functools import wraps
import random

def backoff_retry(max_attempts=5, base_delay=1):
    def decorator(func):
        @wraps(func)
        def wrapper(*args, **kwargs):
            for attempt in range(max_attempts):
                try:
                    return func(*args, **kwargs)
                except openclaw.exceptions.APIExhaustedError as e:
                    if attempt == max_attempts - 1:
                        raise
                    delay = (base_delay * 2 ** attempt) + random.uniform(0, 1)
                    print(f"Quota hit, backing off {delay:.2f}s (attempt {attempt+1})")
                    time.sleep(delay)
            return None
        return wrapper
    return decorator

client = openclaw.Client(api_key="your_key")

@backoff_retry()
def safe_compute(task):
    return client.run_compute({"task": task})

for i in range(10000):
    result = safe_compute(f"job-{i}")
    if result:
        print(result)
    time.sleep(0.1)  # Rate limit to 10/sec

Step 3: Batch Requests

Use /v1/batch_compute endpoint.

Before:

jobs = [{"task": f"job-{i}"} for i in range(100)]
for job in jobs:
    client.run_compute(job)  # 100 calls

After:

batch_jobs = [{"task": f"job-{i}"} for i in range(100)]
results = client.batch_compute(batch_jobs)  # 1 call

Step 4: Preflight Quota Check

def check_quota_threshold(client, threshold=0.9):
    quota = client.get_quota()
    if quota.remaining_daily / quota.limit_daily < threshold:
        raise ValueError("Quota low, aborting.")

Step 5: Upgrade Plan (if needed)

Via dashboard: Account > Billing > Upgrade to Pro.

Step 6: Use Multiple API Keys

Rotate keys across worker pools.

keys = ["key1", "key2"]
client = openclaw.Client(api_key=keys[i % len(keys)])

4. Verification

  1. Run quota check:

    $ python quota_check.py
    Remaining: 9500/10000  # Green if >20%
    
  2. Stress test with fixed code:

    $ python stress_test.py --jobs 5000
    All 5000 jobs completed. No clw-api-exhausted.
    
  3. Monitor headers:

    curl -H "Authorization: Bearer your_key" https://api.openclaw.io/v1/quota
    # X-RateLimit-Remaining >0
    
  4. Pipeline run: Deploy to CI, confirm no failures.

  5. Logs: Grep for “backoff” – should see occasional but no crashes.

Success metric: 99% uptime under load, quota utilization <80%.

5. Common Pitfalls

  • Ignoring Headers: Clients not parsing Retry-After lead to busy loops.

    # Wrong
    while True:
        try:
            client.call()
        except:
            pass  # Spins CPU
    
  • Shared Quota Oversight: Multiprocess ignores account limits. Fix: Central quota service with Redis.

  • Async Overload: asyncio.gather(1000 tasks) bursts quota. Use asyncio.Semaphore(10).

  • Polling Loops: Status checks every 1s eat quota.

    # Bad
    while not done:
        status = client.get_status(job_id)
        time.sleep(1)
    # Good: Webhooks or 30s intervals
    
  • No Logging: Hard to debug without logging quota events.

  • Free Tier Trap: Prototyping scales to prod without upgrade.

  • UTC Reset Blindness: Local time mismatches cause surprise exhaustions.

⚠️ Unverified: Custom enterprise limits may vary; contact support.

Error CodeDescriptionFix Summary
clw-rate-limit-exceededPer-minute burst limit hitAdd fixed delays, semaphores
clw-auth-invalidBad/missing API keyRegenerate key, check env vars
clw-network-timeoutSlow responsesIncrease timeout, retry
clw-compute-failedJob runtime errorValidate inputs, debug payload

Cross-reference: clw-rate-limit-exceeded often precedes clw-api-exhausted. Monitor both.


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