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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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