Leo
388c193ae7
對應 .agents/specs/llm-interface/ Milestone 3.1 + 3.3。
registry/examples/ — 10 個可直接 push 的 workflow 範本：
starter: webhook-to-http
common: cron-watcher, llm-classify, rag-search-answer, daily-digest
external: email-summary (gmail+claude+telegram), pdf-to-blocks,
github-issue-bot
advanced: parallel-fanout (trigger_workflow fan-out),
error-retry (try_catch+wait pattern)
每個含：workflow.yaml（可直接 push）+ description.md（解決什麼問題 /
改成你自己的 / 學到什麼）+ tags.json（搜尋用）
registry/skills/ — 5 個 AI playbook（markdown）：
build_watcher_workflow — cron + filter + trigger 模式
debug_paused_workflow — claude_api callback paused 怎麼追
migrate_http_to_trigger_workflow — 從 self-fetch 換 trigger_workflow
rag_with_arcrun — KBDB + claude_api 組裝 RAG
add_new_wasm_component — TinyGo 寫 + 部署全流程
兩者差異：
examples = 可直接拿來改的 YAML
skills = 面對 X 問題該怎麼想 + 該用哪個 example
兩者後續：CI 自動同步進 KBDB（type=workflow-example / type=agent-skill），
MCP arcrun_search_examples / arcrun_list_skills 走 KBDB semantic search。
（CI sync 是 M3.4 工作）
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
44 lines
1.1 KiB
YAML
44 lines
1.1 KiB
YAML
name: error_retry
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description: try_catch + wait + retry 模式：外部 API 偶發掛掉時自動重試
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flow:
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- "input >> ON_SUCCESS >> try_call"
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- "try_call >> ON_SUCCESS >> done"
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- "try_call >> ON_FAIL >> wait_a_bit"
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- "wait_a_bit >> ON_SUCCESS >> retry_call"
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- "retry_call >> ON_SUCCESS >> done"
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- "retry_call >> ON_FAIL >> final_fail_notify"
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config:
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try_call:
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component: http_request
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url: "{{input.target_url}}"
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method: POST
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body_json:
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payload: "{{input.payload}}"
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wait_a_bit:
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component: wait
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seconds: 5
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# 第二次嘗試。生產環境通常 retry 2-3 次配指數 backoff
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retry_call:
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component: http_request
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url: "{{input.target_url}}"
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method: POST
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body_json:
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payload: "{{input.payload}}"
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_retry: 1
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done:
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component: comp_passthrough
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# 純記錄成功，下游若需要可繼續鏈
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final_fail_notify:
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component: telegram
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chat_id: "{{secret.LEO_TELEGRAM_CHAT_ID}}"
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text: |
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⚠️ workflow {{input.workflow_name}} 兩次重試都失敗
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target: {{input.target_url}}
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last error: {{retry_call.error}}
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