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Analyzes LLM provider error messages to determine retry strategy, failover candidates, and root cause. Supports multiple providers (OpenAI, Anthropic, Google, local models).
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | provider-error-analyzer |
| description | Analyzes LLM provider error messages to determine retry strategy, failover candidates, and root cause. Supports multiple providers (OpenAI, Anthropic, Google, local models). |
| version | 1 |
| metadata | {"category":"reliability","author":"auto-workflow","evolution-stats":{"total-experiments":870}} |
| level | atom |
Different LLM providers return different error formats. This skill maps error messages to categories and determines the best recovery strategy.
Pattern: usage limit exceeded, rate_limit_error, too many requests
Providers:
RateLimitError, 429 Too Many Requestsoverloaded_error, 529 OverloadedResourceExhausted, 429Strategy:
Pattern: insufficient_quota, allocated quota exceeded, billing_hard_limit_reached, hard limit reached, quota exceeded
Providers:
insufficient_quota (1004)quota_exceeded (429)QuotaExceeded (429)Strategy:
Pattern: invalid_api_key, unauthorized, token is unusable, Authentication failed
Providers:
invalid_api_key (401)authentication_error (401)Unauthenticated (401)Strategy:
Pattern: content_filter, invalid_request_error, Bad request
Strategy:
Pattern: server_error, bad_gateway, service_unavailable, overloaded, cluster overloaded
Providers:
server_error (500)overloaded_error (529)InternalServerError (500)Strategy:
Pattern: timeout, Request timeout, Gateway timeout
Strategy:
Pattern: Connection refused, Network error, DNS resolution failed
Strategy:
Primary: kimi (cost-effective)
Fallback 1: openai (reliable)
Fallback 2: anthropic (high quality)
Fallback 3: google (backup)
Local: ollama/lmstudio (always available)
scripts/classify_error.py - Classify error message into categoryscripts/recommend_strategy.py - Recommend retry/failover strategyscripts/update_patterns.py - Learn new error patterns from logs;; Classify error
(let ((error-msg "usage limit exceeded (2056)"))
(provider-error-classify error-msg))
;; => (:category 'rate-limit :retryable t :backoff 2)
;; Get failover candidate
(provider-error-failover-candidate 'kimi)
;; => (:provider 'openai :model 'gpt-4)
When encountering new error formats:
references/error-patterns.mdscripts/update_patterns.py🔄 update provider-error patternsBased on analysis of experiment errors.
| Pattern | Category | Action | Frequency | Regex |
|---|
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