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chore(deps): bump @opentelemetry/semantic-conventions from 1.39.0 to 1.40.0#278

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chore(deps): bump @opentelemetry/semantic-conventions from 1.39.0 to 1.40.0#278
dependabot[bot] wants to merge 1 commit intomainfrom
dependabot/npm_and_yarn/opentelemetry/semantic-conventions-1.40.0

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@dependabot dependabot bot commented on behalf of github Mar 9, 2026 •
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Bumps @opentelemetry/semantic-conventions from 1.39.0 to 1.40.0.

Release notes

Sourced from @​opentelemetry/semantic-conventions's releases.

semconv/v1.40.0

1.40.0

🚀 Features

  • feat: update semantic conventions to v1.40.0 #6438
    • Semantic Conventions v1.40.0: changelog | latest docs
    • @opentelemetry/semantic-conventions (stable) changes: 2 added exports
    • @opentelemetry/semantic-conventions/incubating (unstable) changes: 11 newly deprecated exports, 56 added exports

Stable changes in v1.40.0

ATTR_SERVICE_INSTANCE_ID // service.instance.id
ATTR_SERVICE_NAMESPACE   // service.namespace

Unstable changes in v1.40.0

METRIC_RPC_CLIENT_REQUEST_SIZE     // rpc.client.request.size: Removed, no replacement at this time.
METRIC_RPC_CLIENT_RESPONSE_SIZE    // rpc.client.response.size: Removed, no replacement at this time.
METRIC_RPC_SERVER_REQUEST_SIZE     // rpc.server.request.size: Removed, no replacement at this time.
METRIC_RPC_SERVER_RESPONSE_SIZE    // rpc.server.response.size: Removed, no replacement at this time.
METRIC_SYSTEM_MEMORY_SHARED        // system.memory.shared: Replaced by `system.memory.linux.shared`.
EVENT_RPC_MESSAGE                  // rpc.message: Deprecated, no replacement at this time.
ATTR_ERROR_MESSAGE                 // error.message: Use domain-specific error message attribute. For example, use `feature_flag.error.message` for feature flag errors.
ATTR_RPC_MESSAGE_COMPRESSED_SIZE   // rpc.message.compressed_size: Deprecated, no replacement at this time.
ATTR_RPC_MESSAGE_ID                // rpc.message.id: Deprecated, no replacement at this time.
ATTR_RPC_MESSAGE_TYPE              // rpc.message.type: Deprecated, no replacement at this time.
ATTR_RPC_MESSAGE_UNCOMPRESSED_SIZE // rpc.message.uncompressed_size: Deprecated, no replacement at this time.
METRIC_JVM_FILE_DESCRIPTOR_LIMIT                 // jvm.file_descriptor.limit
METRIC_K8S_SERVICE_ENDPOINT_COUNT                // k8s.service.endpoint.count
</tr></table>

... (truncated)

Commits
  • 661cd84 chore: update all license headers to SPDX short format (#6447)
  • ed6bd6d chore: prepare next release (#6448)
  • 636d1d0 feat(semantic-conventions): update semantic conventions to v1.40.0 (#6438)
  • 1bffafa fix(instrumentation-http): guard against double-instrumentation if loaded wit...
  • f7cd6ab refactor(api): refactor to avoid circular deps, add dpdm to lint step (#6441)
  • bffd65f fix(deps): update dependency google-protobuf to v4 (#6411)
  • 8479a91 chore(deps): update dependency @​types/jquery to v3.5.34 (#6443)
  • 99d6e15 fix(otlp-exporter-base): handle response error event (#6412)
  • 200cf9a fix(api): Update DiagLogger to use original console methods (#6395)
  • b1beebb chore(deps): update github/codeql-action digest to 89a39a4 (#6436)
  • Additional commits viewable in compare view

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github-actions bot commented Mar 9, 2026

Performance Benchmark Results

╔═══════════════════════════════════════════════════════════════╗
║ SMI-1537: V3 Migration Performance Benchmarks ║
╠═══════════════════════════════════════════════════════════════╣
║ Memory Operations: 40x target ║
║ Embedding Search: 150x target ║
║ Recommendation Pipeline: 4x target ║
╚═══════════════════════════════════════════════════════════════╝

Running 50 iterations with 10 warmup...

--- Memory Operations ---

--- Embedding Search ---
Indexing 10K vectors... done

--- Recommendation Pipeline ---
Initializing recommendation pipeline with 1000 skills... done

═══════════════════════════════════════════════════════════════

V3 Migration Benchmark Report

Date: 2026-03-09T01:20:24.871Z
Node.js: v22.22.1

Results

Operation V2 Baseline V3 Result Speedup Target Status
Memory Store 200ms 0.00ms 181488x 40x ✅
Memory Get 150ms 0.00ms 267380x 40x ✅
Memory Delete 180ms 0.00ms 326679x 40x ✅
Embedding Search (10K vectors) 500ms 0.12ms 4223x 150x ✅
Recommendation Pipeline 800ms 0.21ms 3724x 4x ✅

Summary

  • Total Benchmarks: 5
  • Passed: 5
  • Failed: 0
  • All Targets Met: ✅ Yes

Notes

  • V2 baselines are from pre-migration measurements (simulated for this benchmark)
  • Target threshold includes 20% tolerance for environmental variance
  • Memory operations use in-memory Map (real V3 uses optimized SQLite)
  • Embedding search simulates HNSW algorithm efficiency (real V3 uses onnxruntime-node)

@dependabot dependabot bot force-pushed the dependabot/npm_and_yarn/opentelemetry/semantic-conventions-1.40.0 branch from 642cbbe to 3a1a9d4 Compare March 9, 2026 01:32
@github-actions
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github-actions bot commented Mar 9, 2026

Performance Benchmark Results

╔═══════════════════════════════════════════════════════════════╗
║ SMI-1537: V3 Migration Performance Benchmarks ║
╠═══════════════════════════════════════════════════════════════╣
║ Memory Operations: 40x target ║
║ Embedding Search: 150x target ║
║ Recommendation Pipeline: 4x target ║
╚═══════════════════════════════════════════════════════════════╝

Running 50 iterations with 10 warmup...

--- Memory Operations ---

--- Embedding Search ---
Indexing 10K vectors... done

--- Recommendation Pipeline ---
Initializing recommendation pipeline with 1000 skills... done

═══════════════════════════════════════════════════════════════

V3 Migration Benchmark Report

Date: 2026-03-09T01:57:28.240Z
Node.js: v22.22.1

Results

Operation V2 Baseline V3 Result Speedup Target Status
Memory Store 200ms 0.00ms 178253x 40x ✅
Memory Get 150ms 0.00ms 267380x 40x ✅
Memory Delete 180ms 0.00ms 332717x 40x ✅
Embedding Search (10K vectors) 500ms 0.12ms 4323x 150x ✅
Recommendation Pipeline 800ms 0.22ms 3717x 4x ✅

Summary

  • Total Benchmarks: 5
  • Passed: 5
  • Failed: 0
  • All Targets Met: ✅ Yes

Notes

  • V2 baselines are from pre-migration measurements (simulated for this benchmark)
  • Target threshold includes 20% tolerance for environmental variance
  • Memory operations use in-memory Map (real V3 uses optimized SQLite)
  • Embedding search simulates HNSW algorithm efficiency (real V3 uses onnxruntime-node)

@dependabot dependabot bot force-pushed the dependabot/npm_and_yarn/opentelemetry/semantic-conventions-1.40.0 branch from 3a1a9d4 to 65afc90 Compare March 9, 2026 10:54
@github-actions
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github-actions bot commented Mar 9, 2026

Performance Benchmark Results

╔═══════════════════════════════════════════════════════════════╗
║ SMI-1537: V3 Migration Performance Benchmarks ║
╠═══════════════════════════════════════════════════════════════╣
║ Memory Operations: 40x target ║
║ Embedding Search: 150x target ║
║ Recommendation Pipeline: 4x target ║
╚═══════════════════════════════════════════════════════════════╝

Running 50 iterations with 10 warmup...

--- Memory Operations ---

--- Embedding Search ---
Indexing 10K vectors... done

--- Recommendation Pipeline ---
Initializing recommendation pipeline with 1000 skills... done

═══════════════════════════════════════════════════════════════

V3 Migration Benchmark Report

Date: 2026-03-09T11:30:39.597Z
Node.js: v22.22.1

Results

Operation V2 Baseline V3 Result Speedup Target Status
Memory Store 200ms 0.00ms 148920x 40x ✅
Memory Get 150ms 0.00ms 249584x 40x ✅
Memory Delete 180ms 0.00ms 315236x 40x ✅
Embedding Search (10K vectors) 500ms 0.14ms 3667x 150x ✅
Recommendation Pipeline 800ms 0.22ms 3565x 4x ✅

Summary

  • Total Benchmarks: 5
  • Passed: 5
  • Failed: 0
  • All Targets Met: ✅ Yes

Notes

  • V2 baselines are from pre-migration measurements (simulated for this benchmark)
  • Target threshold includes 20% tolerance for environmental variance
  • Memory operations use in-memory Map (real V3 uses optimized SQLite)
  • Embedding search simulates HNSW algorithm efficiency (real V3 uses onnxruntime-node)

@dependabot dependabot bot force-pushed the dependabot/npm_and_yarn/opentelemetry/semantic-conventions-1.40.0 branch from 65afc90 to e6f95e3 Compare March 11, 2026 00:25
@github-actions
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github-actions bot commented Mar 11, 2026

Performance Benchmark Results

⚠️ Benchmark results not available

@dependabot dependabot bot force-pushed the dependabot/npm_and_yarn/opentelemetry/semantic-conventions-1.40.0 branch from e6f95e3 to 7ef4edb Compare March 11, 2026 23:37
@github-actions
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github-actions bot commented Mar 11, 2026

Performance Benchmark Results

⚠️ Benchmark results not available

@dependabot dependabot bot force-pushed the dependabot/npm_and_yarn/opentelemetry/semantic-conventions-1.40.0 branch from 7ef4edb to 050eb38 Compare March 12, 2026 02:48
@github-actions
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github-actions bot commented Mar 12, 2026

Performance Benchmark Results

╔═══════════════════════════════════════════════════════════════╗
║ SMI-1537: V3 Migration Performance Benchmarks ║
╠═══════════════════════════════════════════════════════════════╣
║ Memory Operations: 40x target ║
║ Embedding Search: 150x target ║
║ Recommendation Pipeline: 4x target ║
╚═══════════════════════════════════════════════════════════════╝

Running 50 iterations with 10 warmup...

--- Memory Operations ---

--- Embedding Search ---
Indexing 10K vectors... done

--- Recommendation Pipeline ---
Initializing recommendation pipeline with 1000 skills... done

═══════════════════════════════════════════════════════════════

V3 Migration Benchmark Report

Date: 2026-03-12T03:12:41.112Z
Node.js: v22.22.1

Results

Operation V2 Baseline V3 Result Speedup Target Status
Memory Store 200ms 0.00ms 170648x 40x ✅
Memory Get 150ms 0.00ms 272232x 40x ✅
Memory Delete 180ms 0.00ms 338983x 40x ✅
Embedding Search (10K vectors) 500ms 0.13ms 3857x 150x ✅
Recommendation Pipeline 800ms 0.22ms 3609x 4x ✅

Summary

  • Total Benchmarks: 5
  • Passed: 5
  • Failed: 0
  • All Targets Met: ✅ Yes

Notes

  • V2 baselines are from pre-migration measurements (simulated for this benchmark)
  • Target threshold includes 20% tolerance for environmental variance
  • Memory operations use in-memory Map (real V3 uses optimized SQLite)
  • Embedding search simulates HNSW algorithm efficiency (real V3 uses onnxruntime-node)

@dependabot
chore(deps): bump @opentelemetry/semantic-conventions
f0be75a 
Bumps [@opentelemetry/semantic-conventions](https://github.com/open-telemetry/opentelemetry-js) from 1.39.0 to 1.40.0.
- [Release notes](https://github.com/open-telemetry/opentelemetry-js/releases)
- [Changelog](https://github.com/open-telemetry/opentelemetry-js/blob/main/CHANGELOG.md)
- [Commits](open-telemetry/opentelemetry-js@semconv/v1.39.0...semconv/v1.40.0)

---
updated-dependencies:
- dependency-name: "@opentelemetry/semantic-conventions"
  dependency-version: 1.40.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot force-pushed the dependabot/npm_and_yarn/opentelemetry/semantic-conventions-1.40.0 branch from 050eb38 to f0be75a Compare March 12, 2026 05:55
@github-actions
Copy link

github-actions bot commented Mar 12, 2026

Performance Benchmark Results

╔═══════════════════════════════════════════════════════════════╗
║ SMI-1537: V3 Migration Performance Benchmarks ║
╠═══════════════════════════════════════════════════════════════╣
║ Memory Operations: 40x target ║
║ Embedding Search: 150x target ║
║ Recommendation Pipeline: 4x target ║
╚═══════════════════════════════════════════════════════════════╝

Running 50 iterations with 10 warmup...

--- Memory Operations ---

--- Embedding Search ---
Indexing 10K vectors... done

--- Recommendation Pipeline ---
Initializing recommendation pipeline with 1000 skills... done

═══════════════════════════════════════════════════════════════

V3 Migration Benchmark Report

Date: 2026-03-12T06:25:05.989Z
Node.js: v22.22.1

Results

Operation V2 Baseline V3 Result Speedup Target Status
Memory Store 200ms 0.00ms 171821x 40x ✅
Memory Get 150ms 0.00ms 263158x 40x ✅
Memory Delete 180ms 0.00ms 316344x 40x ✅
Embedding Search (10K vectors) 500ms 0.15ms 3410x 150x ✅
Recommendation Pipeline 800ms 0.15ms 5180x 4x ✅

Summary

  • Total Benchmarks: 5
  • Passed: 5
  • Failed: 0
  • All Targets Met: ✅ Yes

Notes

  • V2 baselines are from pre-migration measurements (simulated for this benchmark)
  • Target threshold includes 20% tolerance for environmental variance
  • Memory operations use in-memory Map (real V3 uses optimized SQLite)
  • Embedding search simulates HNSW algorithm efficiency (real V3 uses onnxruntime-node)

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