eyaltoledano/claude-task-master · error
Exhausted all retries for role ${attemptRole} (${fnName} / $
Error message
Exhausted all retries for role ${attemptRole} (${fnName} / ${providerName}) What it means
_attemptProviderCallWithRetries throws this when the retry loop for a role's provider call exhausts all attempts without success or a non-retryable early exit. It is effectively a 'retries exhausted' sentinel; the last underlying error is normally thrown from inside the loop, so reaching this line signals the loop terminated unexpectedly (or all retries were consumed).
Source
Thrown at scripts/modules/ai-services-unified.js:478
if (isRetryableError(error) && retries < MAX_RETRIES) {
retries++;
const delay = INITIAL_RETRY_DELAY_MS * 2 ** (retries - 1);
log(
'info',
`Something went wrong on the provider side. Retrying in ${delay / 1000}s...`
);
await new Promise((resolve) => setTimeout(resolve, delay));
} else {
log(
'error',
`Something went wrong on the provider side. Max retries reached for role ${attemptRole} (${fnName} / ${providerName}).`
);
throw error;
}
}
}
// Should not be reached due to throw in the else block
throw new Error(
`Exhausted all retries for role ${attemptRole} (${fnName} / ${providerName})`
);
}
/**
* Base logic for unified service functions.
* @param {string} serviceType - Type of service ('generateText', 'streamText', 'generateObject').
* @param {object} params - Original parameters passed to the service function.
* @param {string} params.role - The initial client role.
* @param {object} [params.session=null] - Optional MCP session object.
* @param {string} [params.projectRoot] - Optional project root path.
* @param {string} params.commandName - Name of the command invoking the service.
* @param {string} params.outputType - 'cli' or 'mcp'.
* @param {string} [params.systemPrompt] - Optional system prompt.
* @param {string} [params.prompt] - The prompt for the AI.
* @param {string} [params.schema] - The Zod schema for the expected object.
* @param {string} [params.objectName] - Name for object/tool.
* @returns {Promise<any>} Result from the underlying provider call.View on GitHub (pinned to c0c98d367c)
Solutions
- Check the logs just before this error for the last underlying error (status code) and fix that root cause.
- Fix authentication (correct API key) or the model ID if errors were 401/404.
- Wait out rate limits or reduce request frequency/concurrency; consider a fallback provider in config.
- Increase retry count/backoff via the retry configuration if failures are transient.
- Verify network connectivity to the provider endpoint (proxy/VPN/firewall).
Example fix
// before
cfg.retry = { maxAttempts: 1, initialBackoff: 100 }; // exhausts almost immediately
// after
cfg.retry = { maxAttempts: 5, initialBackoff: 1000, onError: true }; // ride out transient errors Defensive patterns
Strategy: retry
Validate before calling
// preflight: verify endpoint reachability before batch runs
try {
await fetch('https://api.anthropic.com', { method: 'HEAD' });
} catch {
console.warn('Provider endpoint unreachable — expect retries to fail; check network/proxy.');
} Try / catch
try {
await generateTextService({ prompt, providerName });
} catch (e) {
if (/Exhausted all retries/.test(e.message)) {
console.error('Provider call failed after all retries; check preceding logs for the underlying error, then retry with backoff or switch provider.');
} else throw e;
} Prevention
- Read the logged underlying error (status code) above this message — it names the real cause.
- Configure sensible retry counts/backoff for rate-limited providers.
- Configure fallback provider roles so one outage doesn't kill the run.
- Validate API keys and model IDs before long batch jobs.
When it happens
Trigger: Repeated failures of the role function (fnName) against providerName — e.g. persistent 429/5xx API errors, network timeouts, or invalid requests — across every configured retry attempt, with no successful response and no other error propagated out of the loop.
Common situations: Provider outages or rate limits lasting longer than the retry window, wrong model IDs causing repeated 404/400s, expired/invalid API keys producing persistent 401s, or network restrictions (proxy/firewall) blocking the endpoint.
Related errors
AI-assisted analysis of eyaltoledano/claude-task-master@c0c98d367c (2026-08-29).
Data as JSON: /api/errors/d01e2e33db645b4d.
Report an issue: GitHub.