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Contexto Antes que qualquer outra tool MCP (kb_tree/kb_expand da #17, skills da #12) faça sentido, o servidor o-kb-mcp precisa existir e expor as duas tools-núcleo do oh-my-kb: - kb_write — porta de ...
feature
mcp
mvp

Summary ty crashes when checking this fuzzed code: class C: pass def f(): pass def g() - T: pass g() from typing import NamedTuple, NewType X = NamedTuple( X , [( a , X )]), None ...

The service health workflow failed. Check the workflow run for details.

Summary Wire run.use_artifact() so the lineage DAG actually forms: training consumes the dataset artifact; eval consumes the model + dataset artifacts. Per storage-provenance-spec.md §5 (lineage DAG) ...
storage

Summary Log an eval-results W B artifact (name eval-{eval_config_id}, type eval-results) from the eval entry point, with add_reference to the R2 outputs (predictions, audio, metrics). Per storage-provenance-spec.md ...
evaluation

Summary Log an explicit model W B artifact (name model-{train_config_id}, type model) from training, with add_reference to the R2 checkpoint location — replacing reliance on Lightning s implicitly-named ...
training

Goal Add a versioned docs publishing flow so main keeps serving the real release docs while develop can publish preview/development docs at a separate URL such as /generate_ledger/develop/. Why The ...
documentation
enhancement
priority: p2

Summary Log a canonical dataset W B artifact (name data-{dataset_config_id}, type dataset) when the data pipeline finalizes, with add_reference( s3://... ) pointing at the finalized R2 objects (train/val/test.h5, ...
data-pipeline

Executive Summary Overall workflow health for the last 24 hours is healthy and stable. Of 390 runs with a recorded outcome, 384 succeeded and 6 failed — a 1.54% failure rate, which is at or slightly below ...
automated-analysis
observability
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ProTip! Restrict your search to the title by using the in:title qualifier.