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Repair Service Dependency Timeout Failures
Diagnose and repair service dependency timeouts, deadlines, retries, fallbacks, isolation, and degraded-mode behavior.
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Repair Service Dependency Timeout Failures
Example session with this skill installed
My Go service is timing out, but the downstream API logs show 200 OK. It uses a 5s timeout. The downstream takes 4.5s. We have 3 retries. Fix the cascading failure risk.
- Read your context and instructions
- Compiled the repair service dependency
The diagnosis indicates a deadline alignment failure. Your service has a 5s total timeout, but with 3 retries and a 4.5s downstream latency, the second attempt will always exceed the caller's deadline, wasting resources and potentially saturating the downstream service.
Cascading Failure Repair
The following patch implements a retry budget and ensures that the context deadline is respected before attempting a retry. It prevents "zombie" requests where the caller has already given up but the service continues to retry.
func CallDownstream(ctx context.Context, client *http.Client, req *http.Request) (*http.Response, error) {
const maxRetries = 3
const backoff = 100 * time.Millisecond
for i := 0; i <= maxRetries; i++ {
// Check if we have enough time left for a meaningful attempt
deadline, ok := ctx.Deadline()
if ok && time.Until(deadline) < 500*time.Millisecond {
return nil, fmt.Errorf("insufficient time for retry: %w", ctx.Err())
}
resp, err := client.Do(req.WithContext(ctx))
if err == nil && resp.StatusCode < 500 {
return resp, nil
}
// Only retry on specific transient errors or 5xx
if i < maxRetries {
select {
case <-time.After(backoff):
continue
case <-ctx.Done():
return nil, ctx.Err()
}
}
}
return nil, errors.New("max retries exceeded")
}
Deterministic Test Strategy
To verify this without waiting for real timeouts:
- Mock Downstream: Use a
httptest.Serverwith a configurable delay. - Context Injection: Pass a
context.WithTimeout(ctx, 5*time.Second).
Assertion: Verify that the client stops after the first attempt if the elapsed time is > 4.5s, rather than exhausting all 3 retries.
Next steps
- Check the
ConnectTimeouton your HTTP Transport; it should be significantly lower than the total request timeout. - Implement an Exponential Backoff with Jitter to prevent thundering herd issues during downstream recovery.
- Add a circuit breaker (e.g.,
gobreaker) to stop attempts entirely if the error rate exceeds 50%.
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About this skill
Repair Service Dependency Timeout Failures is a bounded ToolForge Labs workflow. Diagnose and repair service dependency timeouts, deadlines, retries, fallbacks, isolation, and degraded-mode behavior. Works from full repositories or partial context such as snippets, logs, configuration, traces, and architecture notes. Produces concrete repairs or evidence-backed review outputs while preserving existing product/security policy.
It works from a full repository or partial evidence such as snippets, logs, configuration, traces, tickets, and architecture notes. The skill preserves existing product and security policy, separates verified facts from assumptions, avoids invented execution claims, and produces concrete repair or review steps with focused deterministic validation or traceable evidence.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Agents & Orchestration.
Requires specific logs, traces, or code snippets for context-only mode. Does not perform live production traffic intervention.
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Use a clean branch or a controlled review workspace. Supply repository files, logs, traces, configuration, or evidence needed for the task. Review all patches/findings before merge or operational action; keep production credentials and destructive production actions out of the workflow.