feat(arcrun): implement arcrun MVP — open-source AI workflow engine
Phase 1-5 complete per .agents/specs/u6u-core-mvp/: **Phase 1 — Cherry-pick & cleanup** - Create arcrun/ from cypher-executor, credentials, builtins, registry - Remove 9 InkStone Service Bindings (KBDB, REGISTRY, CLINIC_*, AICEO, MINI_ME) - Rewrite component-loader: 3-layer (builtin → WASM_BUCKET R2 → error) - Remove autoPublishMissing.ts, proxy.ts (AICEO), execution-logger.ts (KBDB) - Clean all KV namespace IDs and InkStone internal URLs from config files **Phase 2 — contract.yaml completeness** - Add credentials_required to gmail, google_sheets, telegram, line_notify - Add config_example to all 21 components with annotated field descriptions **Phase 3 — Credential injection** - Add credential-injector.ts: AES-GCM decrypt from CREDENTIALS_KV - Integrate into GraphExecutor before WASM execution - Structured errors with repair instructions when credential missing **Phase 4 — CLI (acr)** - cli/package.json: arcrun package, bin: acr, deps: commander/js-yaml/chalk/ora - 8 commands: init, creds push, push, run, validate, parts, list, logs - Standard mode: writes directly to user's CF KV via CF REST API - acr init: interactive setup with arcrun.dev API Key registration **Phase 5 — Open source release prep** - README.md: 5-minute quickstart, component table, workflow YAML syntax - CONTRIBUTING.md: TinyGo dev env, component scaffolding, submission flow - Security audit: no InkStone internal URLs/IDs in committed files - .gitignore: exclude credentials.yaml, .wrangler, *.wasm https://claude.ai/code/session_01BnCdSLVH8tUed9VrrPavgT
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canonical_id: "telegram"
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display_name: "Telegram Bot"
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category: "api"
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version: "v1"
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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: 50
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no_network_syscall: true
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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: [chat_id, text, bot_token]
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properties:
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chat_id:
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type: string
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text:
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type: string
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bot_token:
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type: string
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description: Telegram Bot Token
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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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properties:
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ok:
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type: boolean
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gherkin_tests:
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- scenario: "缺少 bot_token"
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given: '{"chat_id":"123","text":"hello"}'
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then_contains: '{"success":false'
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- scenario: "缺少 chat_id"
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given: '{"text":"hello","bot_token":"token"}'
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then_contains: '{"success":false'
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tags: [integration, telegram, bot, message]
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description: "透過 Telegram Bot 發送訊息。透過 host function 呼叫 Telegram Bot API,需要 bot_token。"
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credentials_required:
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- key: telegram_bot_token
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type: telegram_bot_token
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description: "Telegram Bot Token(由 @BotFather 取得)"
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inject_as: bot_token
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config_example: |
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send_message: # 節點名稱(可自訂)
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chat_id: "" # Telegram Chat ID(必填)
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text: "" # 訊息內文(必填)
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# bot_token 由 credentials.yaml 的 telegram_bot_token 自動注入
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