arcrun — AI workflow execution engine (clean history)
Self-hosted 開源:WASM 零件 + recipe + cypher-executor,跑在你自己的 Cloudflare。 此為重建的乾淨歷史起點(移除曾誤 commit 的 GCP SA 金鑰,舊歷史保留在 richblack/arcrun 與本地 backup 分支)。含: - acr init --self-hosted installer(建 KV/R2 + codeload 拉預編譯 wasm + wrangler deploy + seed recipe) - recipe push 把關(資料外流提醒 + 打通檢查) - 19 個正當零件預編譯 wasm(claude_api/km_writer/kbdb_upsert_block 排除:違反 DECISIONS §1) - CLI / cypher-executor / registry / 完整 SDD Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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canonical_id: "claude_api"
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display_name: "Claude AI 對話"
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category: "ai"
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version: "v2"
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wasi_target: "preview1"
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stability: "floating"
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runtime_compat:
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- "cf-workers"
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- "workerd"
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- "wazero"
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constraints:
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max_size_kb: 2048
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max_cold_start_ms: 80
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no_network_syscall: false
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no_filesystem_syscall: true
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io_model: "stdin_stdout_json"
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input_schema:
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type: object
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required: [mira_token, prompt]
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properties:
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mira_token:
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type: string
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description: Mira daemon Bearer token(Hetzner cloud-cto Mira daemon 的 MIRA_TOKEN)
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prompt:
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type: string
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description: 要送給 Mira 的訊息(已內建 Mira 副駕 persona,不需重複設角色)
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mira_url:
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type: string
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description: Mira daemon URL,預設 https://mira.uncle6.me
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default: "https://mira.uncle6.me"
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timeout_ms:
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type: integer
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description: Daemon 協商模式 timeout,預設 25000ms(協商上限)
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default: 25000
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output_schema:
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type: object
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properties:
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success:
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type: boolean
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data:
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type: object
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description: 同步完成時的回應
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properties:
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text: { type: string, description: Mira 的回覆文字 }
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task_id: { type: string }
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model: { type: string, description: 「實際 routing 用的模型(haiku / sonnet)」 }
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pending:
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type: boolean
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description: 「true 時表示 daemon 切到非同步模式,task 還在跑,需 polling」
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task_id:
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type: string
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description: pending=true 時用此 id polling
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poll_url:
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type: string
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description: GET 此 URL 查詢任務進度 / 結果
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error:
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type: string
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gherkin_tests:
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- scenario: "缺 mira_token"
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given: '{"prompt":"hi"}'
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then_contains: '{"success":false'
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- scenario: "簡短對話 25s 內回完"
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given: '{"mira_token":"...","prompt":"1+1=?"}'
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then_contains: 'success'
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tags: [ai, llm, claude, mira, primitive]
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description: "呼叫 Mira daemon (Hetzner cloud-cto) 進行 AI 對話。Daemon 內部用 Claude Agent SDK,內建 Mira 副駕 persona,可長執行任務。所有 mira-app 的 AI workflow(自動回覆、wiki 合成、新聞註解)都用此零件。"
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config_example: |
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ai_reply:
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mira_token: "{{secret.mira_token}}"
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prompt: |
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用戶 leo 在 mira 河道發了這則貼文:
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「{{trigger.post_content}}」
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請以副駕 AI 的身份留言回應,簡短繁中,務實。
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timeout_ms: 25000
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