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feat(qdrant): Add query_batch_points, query_points and query_points_groups semantic conventions #3227
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feat(qdrant): Add query_batch_points, query_points and query_points_groups semantic conventions #3227
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2 changes: 1 addition & 1 deletion
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packages/opentelemetry-semantic-conventions-ai/opentelemetry/semconv_ai/version.py
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Original file line number | Diff line number | Diff line change |
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@@ -1 +1 @@ | ||
__version__ = "0.4.12" | ||
__version__ = "0.4.13" |
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@@ -8,7 +8,7 @@ show_missing = true | |
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[tool.poetry] | ||
name = "opentelemetry-semantic-conventions-ai" | ||
version = "0.4.12" | ||
version = "0.4.13" | ||
description = "OpenTelemetry Semantic Conventions Extension for Large Language Models" | ||
authors = [ | ||
"Gal Kleinman <[email protected]>", | ||
|
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🛠️ Refactor suggestion
Align new Qdrant attribute names with existing naming scheme.
Existing Qdrant attributes use the pattern
qdrant.<operation>[_batch].collection_name
/...requests_count
.The newly-added constants introduce an extra “ points ” token, e.g.
query_batch_points
, which breaks that pattern and will sort far away from the related attributes in dashboards.Consider renaming to keep the surface uniform:
This keeps “ query / query_batch / query_groups ” parallel to “ search / search_batch ”.
If the “points” wording is required by Qdrant’s API docs, at minimum add a short comment explaining the deviation to avoid confusion.
📝 Committable suggestion
🤖 Prompt for AI Agents