對話摘要 2026-08-17

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description: 5 note(s) today. name: ‘2026-08-17’

• memory/2026-08-17/azure-openai-models-check.md name: azure-openai-models-check description: User inquired about models available with their Azure OpenAI key aside from GPT-4o. The assistant noted the lack of an installed Azure CLI and proposed alternatives, namely using REST API to verify supported models. Attempts to query /deployments endpoint resulted in a 404 error, likely due to either an incorrect endpoint, absence of deployed models, or an unsupported API version. Suggestions included verifying endpoint configuration, checking model deployment on Azure Portal, and further API request adjustments.
• memory/2026-08-17/litellm-key-permission-limit-and-token-plan-deduction.md name: litellm-key-permission-limit-and-token-plan-deduction description: 調查 LiteLLM 中 Qwen Token Plan Key 權限限制與 DeepSeek 模型調用，含兩個線索。線索一：qwen3.8-max-agent（sk-…4RAQ）權限 Restricted，models 僅 [“tokenplan/qwen3.8-max”]，呼叫 deepseek-v4-flash / opencode-deepseek-v4-flash-free 會 401/403；Token Plan 唔可以跨 Provider 抵扣（tokenplan/qwen3.8-max 經 DashScope 扣款）。線索二（2026-08-17 最新）：用戶提供個人版 Token Plan 支援模型清單，證實包含 DeepSeek——deepseek-v4-pro-0813 / deepseek-v4-pro / deepseek-v4-flash-0731，另有 qwen3.8-max、qwen3.7-plus/max、qwen3.6-flash、qwen-image-3.0-pro、qwen-audio 系列、wan2.7-image(-pro)、happyhorse-1.1-i2v/t2v/r2v、glm-5.2——推翻先前「Token Plan 僅支援 Qwen」嘅推斷；正確模型名係 deepseek-v4-flash-0731（唔係 deepseek-v4-flash），LiteLLM 只註冊咗後者故 401；LiteLLM 無 Token Plan 專屬 credential（只有 DashScope provider 同 Deepseek V4 provider 空值）；Token Plan key（sk-sp-H.DMPYYY.***n8mX3FIDkdOeTBm）專屬 endpoint 為 https://token-plan.cn-beijing.maas.aliyuncs.com/compatible-mode/v1，用錯 endpoint 會 invalid_api_key。用戶選定方案 A：建立專屬 Qwen Token Plan credential（generic 類型，名 qwen-token-plan）並註冊 deepseek-v4-flash-0731；執行中遇 Infisical 權限問題、credential_new 唔支援 api_base（endpoint 喺 model 層定義），策略改為註冊 tokenplan/deepseek-v4-flash-0731 帶 api_base/api_key 或 generic credential + 模型指回，下一步進入 LiteLLM 容器用 Docker CLI（需 Master Key）。線索一備案：Master Key（sk-…xMSg，models=[""]）或 litellm_key_update 更新權限（行 OpenCode 免費額度）。
• memory/2026-08-17/memory-slimming-v5-backup-20260817.md
• memory/2026-08-17/qwenpaw-auto-dream-and-memory-md-optimization.md name: qwenpaw-auto-dream-and-memory-md-optimization description: 2026-08-17 記憶系統日記：(1) Auto Dream 確認啟用、每日 23:00 cron（8/16 執行產出 digest 但 1/5 unit ValidationError 失敗）；(2) MEMORY.md 瘦身 v5 已執行完成——26,111→19,931 chars（-24%、慳 ~1,500 tokens/session），IP 表搬 infra/ip-map.md（70 容器）、Dockhand→Infisical 遷移記錄壓縮成 4 行、政策/速查/credential 15/15 抽查保留，backup memory/2026-08-17/memory-slimming-v5-backup-20260817.md，新容器 IP 只加 infra/ip-map.md；(3) n8n_shinggo_bot（user 619760664）係 webhook forwarder 非互動 bot，/start 無響應正常（23:59 再測 confirm）；(4) OLW→Synto 升級已執行完成（commit 550c852、Dockhand stack 58、IP .56 保留）——obsidian-llm-wiki 0.8.5 → Synto 0.7.0、官方 migrate-olw 一步遷移，37 raw（28 ingested+9 compiled）/84 published/4 drafts 全保留、0 failed；model fast/heavy=free-first @ LiteLLM（API key 用 SYNTO_API_KEY env）；API :8180 正常（包裝 synto CLI）；run_pipeline.sh=FNS pull→synto run→push；cron Draft Review 改 synto approve；備份 olw_data_pre_synto_20260817_234500.tar.gz（1.2MB）、舊 image olw:0.8.5 留 rollback；doctor 全綠 37/37；開放項：① Synto MCP server 收編需定 [mcp.source_access]（等用戶決定、唔阻塞）② Embed 未配（nomic-embed-text 唔喺 LiteLLM，唔影響）；今晚 07:00 cron 自然測試新 stack；23:58 /compact 確認無 pending 任務。
• telegram name: telegram-session-troubleshooting description: Troubleshot a potentially stuck Telegram group session telegram:-5572953387 and noted its running status since 14:17 HKT, possibly indicating a webhook issue. Awaiting user confirmation to forcibly stop and reboot it; clarified that the current user session telegram:619760664 is functioning normally. Additionally, system updates confirmed tasks completed and highlighted MEMORY.md size exceeding 22451 bytes.