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ollama - 💡(How to fix) Fix Service reliability degradation: High timeout rates and repeated failures on Ollama Cloud (2026-03-06) [1 comments, 2 participants]

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ollama/ollama#14673•Fetched 2026-04-08 00:33:05
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Experiencing systematic service reliability issues with Ollama Cloud models on 2026-03-06, with multiple subagent timeouts and failures affecting OpenClaw operations.

Root Cause

Root Cause Assessment

Fix Action

Fix / Workaround

  • OpenClaw subagent reliability degraded to unacceptable levels
  • Automation workflows failing due to external service unavailability
  • Escalation to local-only models being considered as workaround
RAW_BUFFERClick to expand / collapse

Summary

Experiencing systematic service reliability issues with Ollama Cloud models on 2026-03-06, with multiple subagent timeouts and failures affecting OpenClaw operations.

Timeline

09:14-13:09 EST (4 hours)

  • Scout: AgentMail inbox check - 3x timeouts (09:17, pre-update, post-update 09:30+)
  • Ledger: Market opening prep - timeout at 09:17, retry succeeded 09:30
  • Ledger: Google Search Console analysis - 3x consecutive timeouts (12:51, 12:58, 13:02)
  • Smith: mcporter investigation - timeout at 13:00
  • Smith: Google Search Console escalation - timeout at 13:09

Root Cause Assessment

Earlier diagnostic confirmed Ollama Cloud API service overload as root cause of timeouts. Network connectivity to ollama.com confirmed healthy (0% packet loss, 12ms avg RTT).

Community Reports (via Reddit)

Verified additional widespread issues reported by community:

  • 29.7% failure rate on Qwen3.5 models (1 week ago, ongoing)
  • API routing errors (404s on model switching)
  • Tool calling broken (500 errors when tools enabled on cloud models)
  • Rate limiting hostile ($100/month users hit 4-day throttles after 5 days)
  • Support MIA (tickets ignored 2+ weeks, no incident communication)
  • Community exodus (users switching to local models, vLLM, alternatives)

See: https://www.reddit.com/r/ollama/ for multiple recent posts documenting these issues.

Impact

  • OpenClaw subagent reliability degraded to unacceptable levels
  • Automation workflows failing due to external service unavailability
  • Escalation to local-only models being considered as workaround

Request

  1. Acknowledge current service status
  2. Provide incident timeline and ETA for resolution
  3. Advise on rate limiting thresholds for cloud tier subscriptions
  4. Clarify Qwen3.5 stability issues and any recent updates affecting model loading

Thank you.

extent analysis

Fix Plan

To address the systematic service reliability issues with Ollama Cloud models, we will implement the following steps:

  • Implement retry logic: Add exponential backoff to handle timeouts and failures
  • Optimize API calls: Batch requests to reduce the load on the Ollama Cloud API
  • Monitor and alert: Set up monitoring tools to detect service overload and alert the team

Example Code

import time
import random

def retry_with_backoff(max_retries, initial_delay, max_delay):
    def decorator(func):
        def wrapper(*args, **kwargs):
            delay = initial_delay
            for _ in range(max_retries):
                try:
                    return func(*args, **kwargs)
                except Exception as e:
                    print(f"Retry failed: {e}")
                    time.sleep(delay)
                    delay = min(delay * 2, max_delay)
            raise Exception("All retries failed")
        return wrapper
    return decorator

@retry_with_backoff(max_retries=3, initial_delay=1, max_delay=30)
def make_api_call():
    # Simulate API call
    import requests
    response = requests.get("https://ollama.com/api/endpoint")
    if response.status_code != 200:
        raise Exception("API call failed")

# Example usage
make_api_call()

Verification

To verify that the fix worked, monitor the service for a period of time and check for:

  • Reduced number of timeouts and failures
  • Improved response times
  • Successful API calls with retry logic

Extra Tips

  • Consider implementing a circuit breaker pattern to detect when the service is overloaded and prevent further requests
  • Monitor the Ollama Cloud API documentation for any updates on rate limiting thresholds and Qwen3.5 stability issues
  • Explore alternative solutions, such as local models or other cloud services, to mitigate the impact of service reliability issues.

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#api#ssr#installation#model loading#task chaining#parallel task#API routing

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