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docs: add Spark alert operations and verified background GPU-to-native-Feishu workflow - #1
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…lans Signed-off-by: Jeff Peng <239749643+JeffPengCoder@users.noreply.github.com>
Signed-off-by: Jeff Peng <239749643+JeffPengCoder@users.noreply.github.com>
Signed-off-by: Jeff Peng <jepeng@nvidia.com>
Signed-off-by: Jeff Peng <jepeng@nvidia.com>
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Signed-off-by: Jeff Peng <jepeng@nvidia.com>
Signed-off-by: Jeff Peng <jepeng@nvidia.com>
…etup Signed-off-by: Jeff Peng <jepeng@nvidia.com>
4 tasks done
Signed-off-by: Jeff Peng <jepeng@nvidia.com>
Signed-off-by: Jeff Peng <jepeng@nvidia.com>
Signed-off-by: Jeff Peng <jepeng@nvidia.com>
Signed-off-by: Jeff Peng <jepeng@nvidia.com>
Signed-off-by: Jeff Peng <jepeng@nvidia.com>
Signed-off-by: Jeff Peng <jepeng@nvidia.com>
Signed-off-by: Jeff Peng <jepeng@nvidia.com>
Signed-off-by: Jeff Peng <jepeng@nvidia.com>
This was referenced Nov 2, 2026
…idation Signed-off-by: Jeff Peng <jepeng@nvidia.com>
Signed-off-by: Jeff Peng <jepeng@nvidia.com>
… evidence Signed-off-by: Jeff Peng <jepeng@nvidia.com>
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This provides the complete operator handoff for the Spark deployment: access and SSH forwarding, alert polling and injection, actual diagnostic evidence, IRAOP ingestion/retrieval, isolated View/Edit/Auto validation, both Feishu delivery modes, and separately dated CPU/GPU experiments.
The 2026-11-02 update records a new browser-independent background GPU telemetry test through the native Feishu application bot. The persistent host service automatically imported a real Alertmanager alert, collected five actual diagnostic tool results, called IRAOP with two document/page sources, generated the complete report in the same View session, and delivered 11,966 bytes through
Jeff's AI Assistant. Platform readback succeeded and the user confirmed the complete matching Run ID and incident. The functional service implementation is separate in upstream #89; this PR contains documentation, reproduction examples and evidence snapshots.Updated deliverables:
docs/spark_background_gpu_alert_native_feishu_20261102.zh-CN.md: complete new run, operational commands, responsibility/credential handoff, exact fixture UIDs, all hardware-control fields, all three attempts, every state transition, actual tools/research, the complete uncorrected model report, delivery and cleanup.docs/images/mosaic-gpu-feishu-background-20261102.svgand.png: current persistent-worker/IRAOP/native-channel architecture, with the historical Webhook route explicitly retained.docs/artifacts/spark-gpu-validation-20261102-external.pdf: 39 pages, including the new run and the full earlier GPU experiment; 60 tables and 541 data rows.docs/artifacts/mosaic-feishu-webhook-native-20261102-external.pdf: complete 20-page dual-mode Feishu handoff; 16 tables and 149 data rows, including application creation, permissions, secrets/allowlists, actual deployment and the new acceptance cases.docs/artifacts/mosaic-gpu-feishu-background-20261102.pdf: standalone architecture.Validation and evidence:
source_filefield rejected by the first client parser. All exact source versions, requests/responses, original reports, platform messages, full observation samples and cleanup commands are available through the evidence manifest.git diff --checkpassed. Upstream feat: add Helm-managed native alert automation plugin NVIDIA/AI-Factory-Operations-Agent#89's separate Tests/build checks also passed.The live background service currently selects only the two explicit validation labels, not every production alert. The GPU input is an isolated DCGM cache simulation with unchanged real hardware counters. Workflow/delivery acceptance is distinct from physical GPU diagnosis or production repair.
Automatic Feishu DM context and real follow-up verification
The new complete dated guide and architecture cover the proactive-report context gap: a transcript-only delivery mirror did not enter the model’s replay context. The persistent worker now transfers the unchanged full report into the configured receiving Agent/session before native publication. The runtime implementation is maintained in NVIDIA AFOA PR #89, code commit
63aa0d8, with the successful real follow-up recorded bye821ef5.handoff-gpu-20261102t085400z: five real diagnostic results, actual IRAOP with both page sources, original 12,186-byte report and complete 14,675-byte publication, real receiving input and native p2p receipt. No operator investigation, Research, runtime context insertion, report send or factual rewrite.CBU China documentation is mirrored under
aiops/mosaic/through GitLab follow-up MR !2; original MR !1 was already merged. Runtime code is reviewed in AFOA, while the internal mirror carries documentation and versioned validation evidence. Production-label expansion, physical GPU diagnosis accuracy and a second real unauthorized identity are separate scopes.