feat: expose Lance metrics via OpenTelemetry in Python and Node (#3609)

Bridges Lance's internal `metrics`-crate instrumentation (object store
request counts, bytes, latency, errors, and throttles) into
OpenTelemetry, in both the Python and Node bindings, with a shared
adapter in the Rust core. This is the LanceDB counterpart to
lance-format/lance#7537.

## Rust core (`rust/lancedb`)
Two new, **off-by-default** features:
- `metrics` — re-exports the [`metrics`](https://docs.rs/metrics) crate
as `lancedb::metrics` and turns on Lance's object-store instrumentation.
Install any `metrics`-compatible recorder to collect them.
- `metrics-otel` — adds `lancedb::metrics_otel`, a pull-based adapter
that installs a process-global recorder aggregating into lock-free
cumulative storage and exposes a snapshot/catalog API
(`register_metrics_recorder`, `metrics_catalog`, `snapshot_metrics`,
`MetricPoint`/`MetricValue`/`MetricKind`/`MetricDescription`). Both
bindings build on this.

## Python
`lancedb.otel.instrument_lancedb_metrics()` registers each metric as an
OpenTelemetry observable instrument on the given (or global)
`MeterProvider`. Available via the `otel` extra (`pip install
lancedb[otel]`), which pulls in only `opentelemetry-api` — the
application supplies and configures the SDK.

## Node
`instrumentLanceDbMetrics()` provides the equivalent wiring against
`@opentelemetry/api`. This is the only public entry point; the
underlying recorder/catalog/snapshot functions stay internal.

Because OpenTelemetry has no asynchronous histogram instrument,
histograms are exported Prometheus-style as `<name>_bucket` (with an
`le` attribute), `<name>_count`, and `<name>_sum`. Only `_sum` carries
the histogram's unit; `_bucket` and `_count` observe cumulative counts
and are unitless. The adapter is enabled by default in the Python and
Node builds, and off by default in the Rust crate.

## Notes
- Requires Lance ≥ `v9.0.0-beta.19`, which ships the object-store
metrics APIs (upstream lance-format/lance#7537, now merged). `main` is
already on beta.19, so this is a single feature commit with no
dependency bump.
- Tests: 8 Rust unit tests, 3 Python tests, 2 Node tests, all covering
the end-to-end object-store-metrics → OpenTelemetry path.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

python/Cargo.toml

@@ -47,6 +47,6 @@ pyo3-build-config = { version = "0.28", features = [
 ] }
 
 [features]
-default = ["remote", "lancedb/aws", "lancedb/gcs", "lancedb/azure", "lancedb/dynamodb", "lancedb/oss", "lancedb/huggingface", "lancedb/cos", "lancedb/goosefs"]
+default = ["remote", "lancedb/aws", "lancedb/gcs", "lancedb/azure", "lancedb/dynamodb", "lancedb/oss", "lancedb/huggingface", "lancedb/cos", "lancedb/goosefs", "lancedb/metrics-otel"]
 fp16kernels = ["lancedb/fp16kernels"]
 remote = ["lancedb/remote"]

python/pyproject.toml

@@ -47,6 +47,10 @@ repository = "https://github.com/lancedb/lancedb"
 pylance = [
     "pylance>=5.0.0b5",
 ]
+# A library only needs the OpenTelemetry API; the application supplies and
+# configures the SDK (the actual exporter/reader). See
+# https://opentelemetry.io/docs/languages/python/instrumentation/
+otel = ["opentelemetry-api"]
 tests = [
     "aiohttp>=3.9.0",
     "boto3>=1.28.57",
@@ -61,6 +65,7 @@ tests = [
     "pylance>=5.0.0b5",
     "requests>=2.31.0",
     "datafusion>=52,<53",
+    "opentelemetry-sdk>=1.30.0",
 ]
 dev = [
     "ruff>=0.3.0",

python/python/lancedb/_lancedb.pyi

@@ -30,6 +30,25 @@ IvfHnswPq: type[HnswPq] = HnswPq
 IvfHnswSq: type[HnswSq] = HnswSq
 IvfHnswFlat: type[HnswFlat] = HnswFlat
 
+class MetricPoint:
+    name: str
+    kind: str
+    attributes: Dict[str, str]
+    value: Optional[float]
+    buckets: Optional[List[Tuple[str, int]]]
+    count: Optional[int]
+    sum: Optional[float]
+
+class MetricDescription:
+    name: str
+    kind: str
+    unit: Optional[str]
+    description: str
+
+def register_lancedb_metrics_recorder() -> bool: ...
+def lancedb_metrics_catalog() -> List[MetricDescription]: ...
+def snapshot_lancedb_metrics() -> List[MetricPoint]: ...
+
 class PyExpr:
     """A type-safe DataFusion expression node (Rust-side handle)."""
 

python/python/lancedb/otel.py

@@ -0,0 +1,170 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright The LanceDB Authors
+
+"""Bridge LanceDB's internal metrics into OpenTelemetry.
+
+LanceDB (through Lance core) publishes metrics (currently object store request
+counts, bytes, latency, errors, and throttles) through the Rust ``metrics``
+facade. This module installs a process-global recorder that aggregates them and
+registers OpenTelemetry observable instruments that report the aggregated values
+into the user's ``MeterProvider``.
+
+The bridge is generic: every metric LanceDB describes is surfaced automatically,
+with no per-metric Python code. Histograms have no asynchronous OpenTelemetry
+instrument, so each is exported Prometheus-style as cumulative ``le`` buckets
+plus ``_count`` and ``_sum`` observable counters.
+"""
+
+from __future__ import annotations
+
+import warnings
+from typing import TYPE_CHECKING, Optional
+
+from ._lancedb import (
+    lancedb_metrics_catalog,
+    register_lancedb_metrics_recorder,
+    snapshot_lancedb_metrics,
+)
+
+if TYPE_CHECKING:
+    from opentelemetry.metrics import MeterProvider
+
+_INSTRUMENTED = False
+
+
+def instrument_lancedb_metrics(
+    meter_provider: Optional["MeterProvider"] = None,
+) -> bool:
+    """Register LanceDB metrics as OpenTelemetry observable instruments.
+
+    Installs a process-global metrics recorder and creates one observable
+    instrument per LanceDB metric on the given (or global) ``MeterProvider``. The
+    user's configured ``MetricReader`` then collects them on its own schedule.
+
+    Counters and gauges map directly to observable counters/gauges. Each
+    histogram is exported as cumulative ``le`` bucket counts (``<name>_bucket``,
+    with an ``le`` attribute) plus ``<name>_count`` and ``<name>_sum``.
+
+    Parameters
+    ----------
+    meter_provider : opentelemetry.metrics.MeterProvider, optional
+        The provider to register instruments on. Defaults to the global provider
+        from ``opentelemetry.metrics.get_meter_provider()``.
+
+    Returns
+    -------
+    bool
+        ``True`` if the recorder is installed and instruments are registered.
+        ``False`` if a different ``metrics`` recorder is already installed in
+        this process (``metrics`` permits only one global recorder), in which
+        case a warning is emitted and no instruments are created.
+
+    Notes
+    -----
+    Requires the OpenTelemetry API (``pip install lancedb[otel]``) and, to
+    actually export, an OpenTelemetry SDK (``pip install opentelemetry-sdk``)
+    configured by the application. Calling this more than once is safe;
+    instruments are created only on the first successful call.
+    """
+    global _INSTRUMENTED
+
+    try:
+        from opentelemetry.metrics import Observation, get_meter_provider
+    except ImportError as exc:
+        raise ImportError(
+            "instrument_lancedb_metrics requires the OpenTelemetry API/SDK. "
+            "Install it with `pip install lancedb[otel]` or "
+            "`pip install opentelemetry-sdk`."
+        ) from exc
+
+    if not register_lancedb_metrics_recorder():
+        warnings.warn(
+            "Could not install the LanceDB metrics recorder: another `metrics` "
+            "recorder is already installed in this process. LanceDB metrics will "
+            "not be exported via OpenTelemetry.",
+            stacklevel=2,
+        )
+        return False
+
+    if _INSTRUMENTED:
+        return True
+
+    provider = meter_provider or get_meter_provider()
+    meter = provider.get_meter("lancedb")
+
+    def scalar_callback(metric_name: str):
+        def callback(_options):
+            return [
+                Observation(point.value, point.attributes)
+                for point in snapshot_lancedb_metrics()
+                if point.name == metric_name and point.value is not None
+            ]
+
+        return callback
+
+    def bucket_callback(metric_name: str):
+        def callback(_options):
+            observations = []
+            for point in snapshot_lancedb_metrics():
+                if point.name != metric_name or point.buckets is None:
+                    continue
+                for le, cumulative in point.buckets:
+                    attributes = dict(point.attributes)
+                    attributes["le"] = le
+                    observations.append(Observation(cumulative, attributes))
+            return observations
+
+        return callback
+
+    def field_callback(metric_name: str, field: str):
+        def callback(_options):
+            observations = []
+            for point in snapshot_lancedb_metrics():
+                if point.name != metric_name:
+                    continue
+                value = getattr(point, field)
+                if value is not None:
+                    observations.append(Observation(value, point.attributes))
+            return observations
+
+        return callback
+
+    for desc in lancedb_metrics_catalog():
+        unit = desc.unit or ""
+        if desc.kind == "counter":
+            meter.create_observable_counter(
+                desc.name,
+                callbacks=[scalar_callback(desc.name)],
+                unit=unit,
+                description=desc.description,
+            )
+        elif desc.kind == "gauge":
+            meter.create_observable_gauge(
+                desc.name,
+                callbacks=[scalar_callback(desc.name)],
+                unit=unit,
+                description=desc.description,
+            )
+        elif desc.kind == "histogram":
+            # `_bucket` and `_count` observe cumulative sample counts, not the
+            # histogram's measured quantity, so they are unitless; only `_sum`
+            # carries the histogram's unit.
+            meter.create_observable_counter(
+                f"{desc.name}_bucket",
+                callbacks=[bucket_callback(desc.name)],
+                description=f"{desc.description} (cumulative buckets)",
+            )
+            meter.create_observable_counter(
+                f"{desc.name}_count",
+                callbacks=[field_callback(desc.name, "count")],
+                description=f"{desc.description} (count)",
+            )
+            meter.create_observable_counter(
+                f"{desc.name}_sum",
+                callbacks=[field_callback(desc.name, "sum")],
+                unit=unit,
+                description=f"{desc.description} (sum)",
+            )
+
+    _INSTRUMENTED = True
+    return True

python/src/lib.rs

@@ -27,6 +27,7 @@ pub mod header;
 pub mod index;
 pub mod namespace;
 pub mod oauth;
+pub mod otel;
 pub mod permutation;
 pub mod query;
 pub mod runtime;
@@ -61,6 +62,15 @@ pub fn _lancedb(_py: Python, m: &Bound<'_, PyModule>) -> PyResult<()> {
     m.add_class::<PyAsyncPermutationBuilder>()?;
     m.add_class::<PyPermutationReader>()?;
     m.add_class::<PyExpr>()?;
+    // OpenTelemetry metrics bridge
+    m.add_class::<otel::PyMetricPoint>()?;
+    m.add_class::<otel::PyMetricDescription>()?;
+    m.add_function(wrap_pyfunction!(
+        otel::register_lancedb_metrics_recorder,
+        m
+    )?)?;
+    m.add_function(wrap_pyfunction!(otel::lancedb_metrics_catalog, m)?)?;
+    m.add_function(wrap_pyfunction!(otel::snapshot_lancedb_metrics, m)?)?;
     m.add_function(wrap_pyfunction!(connect, m)?)?;
     m.add_function(wrap_pyfunction!(connect_namespace, m)?)?;
     m.add_function(wrap_pyfunction!(connect_namespace_client, m)?)?;

python/src/otel.rs

@@ -0,0 +1,96 @@
+// SPDX-License-Identifier: Apache-2.0
+// SPDX-FileCopyrightText: Copyright The LanceDB Authors
+
+//! Python-facing wrappers over [`lancedb::metrics_otel`].
+//!
+//! The aggregation, catalog, and histogram bucketing all live in the LanceDB
+//! core crate; this module only converts the core snapshot types into PyO3
+//! classes and exposes the three entry points to Python, where
+//! `lancedb/otel.py` bridges them into the user's OpenTelemetry `MeterProvider`.
+
+use std::collections::HashMap;
+
+use lancedb::metrics_otel::{MetricPoint, MetricValue};
+use pyo3::prelude::*;
+
+/// One metric data point exposed to Python. For counters and gauges only
+/// `value` is set; for histograms `buckets` (cumulative `le` counts), `count`,
+/// and `sum` are set.
+#[pyclass(name = "MetricPoint", get_all)]
+pub struct PyMetricPoint {
+    name: String,
+    kind: String,
+    attributes: HashMap<String, String>,
+    value: Option<f64>,
+    buckets: Option<Vec<(String, u64)>>,
+    count: Option<u64>,
+    sum: Option<f64>,
+}
+
+impl From<MetricPoint> for PyMetricPoint {
+    fn from(point: MetricPoint) -> Self {
+        let kind = point.kind.as_str().to_string();
+        let (value, buckets, count, sum) = match point.value {
+            MetricValue::Scalar(v) => (Some(v), None, None, None),
+            MetricValue::Histogram {
+                buckets,
+                count,
+                sum,
+            } => (None, Some(buckets), Some(count), Some(sum)),
+        };
+        Self {
+            name: point.name,
+            kind,
+            attributes: point.attributes,
+            value,
+            buckets,
+            count,
+            sum,
+        }
+    }
+}
+
+/// A described metric, used by the Python layer to create instruments up front.
+#[pyclass(name = "MetricDescription", get_all)]
+pub struct PyMetricDescription {
+    name: String,
+    kind: String,
+    unit: Option<String>,
+    description: String,
+}
+
+/// Install the LanceDB metrics recorder as the process-global `metrics` recorder.
+///
+/// Returns `True` if the recorder is installed (now or previously). Returns
+/// `False` if a *different* recorder is already installed — `metrics` allows
+/// only one global recorder per process, so LanceDB cannot coexist with another.
+#[pyfunction]
+pub fn register_lancedb_metrics_recorder() -> bool {
+    lancedb::metrics_otel::register_metrics_recorder()
+}
+
+/// The catalog of described LanceDB metrics. Empty until the recorder is installed.
+#[pyfunction]
+pub fn lancedb_metrics_catalog() -> Vec<PyMetricDescription> {
+    lancedb::metrics_otel::metrics_catalog()
+        .into_iter()
+        .map(|desc| PyMetricDescription {
+            name: desc.name,
+            kind: desc.kind.as_str().to_string(),
+            unit: desc.unit,
+            description: desc.description,
+        })
+        .collect()
+}
+
+/// A point-in-time snapshot of every recorded metric. Empty until the recorder
+/// is installed.
+///
+/// The read is lock-free but not O(1): it walks every registered series and
+/// allocates owned copies of their names and labels. The GIL is released across
+/// that work so a periodic collection doesn't stall other Python threads.
+#[pyfunction]
+pub fn snapshot_lancedb_metrics(py: Python<'_>) -> Vec<PyMetricPoint> {
+    let points = py.detach(lancedb::metrics_otel::snapshot_metrics);
+    points.into_iter().map(PyMetricPoint::from).collect()
+}

python/tests/test_otel.py

@@ -0,0 +1,101 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright The LanceDB Authors
+
+import lancedb
+import pyarrow as pa
+import pytest
+
+# The metrics recorder is process-global and installed once, so the whole
+# bridge is exercised in a single test to avoid cross-test global-state coupling.
+
+
+def _metrics_by_name(reader):
+    data = reader.get_metrics_data()
+    result = {}
+    for resource_metrics in data.resource_metrics:
+        for scope_metrics in resource_metrics.scope_metrics:
+            for metric in scope_metrics.metrics:
+                result[metric.name] = metric
+    return result
+
+
+def test_instrument_lancedb_metrics_exports_object_store_metrics(tmp_path):
+    pytest.importorskip("opentelemetry.sdk.metrics")
+    from lancedb.otel import instrument_lancedb_metrics
+    from opentelemetry.sdk.metrics import MeterProvider
+    from opentelemetry.sdk.metrics.export import InMemoryMetricReader
+
+    reader = InMemoryMetricReader()
+    provider = MeterProvider(metric_readers=[reader])
+    assert instrument_lancedb_metrics(provider)
+
+    # The catalog is populated once the recorder is installed.
+    from lancedb._lancedb import lancedb_metrics_catalog
+
+    catalog = {desc.name: desc for desc in lancedb_metrics_catalog()}
+    # Every metric kind emitted by the object store must be described so it is
+    # surfaced by the bridge (counter, histogram, and gauge).
+    assert catalog["lance_object_store_requests_total"].kind == "counter"
+    assert catalog["lance_object_store_request_duration_seconds"].kind == "histogram"
+    assert catalog["lance_object_store_in_flight_requests"].kind == "gauge"
+    assert catalog["lance_object_store_retryable_responses_total"].kind == "counter"
+
+    # Generate object store activity on the local filesystem (scheme "file").
+    db = lancedb.connect(str(tmp_path))
+    table = db.create_table("t", pa.table({"id": pa.array(range(256))}))
+    assert table.count_rows() == 256
+    assert table.to_arrow().num_rows == 256
+
+    metrics = _metrics_by_name(reader)
+
+    requests = metrics["lance_object_store_requests_total"]
+    points = list(requests.data.data_points)
+    assert points, "expected at least one request data point"
+    # Object store metrics are labelled by `operation` and `base` (the store
+    # scheme, e.g. "file", by default).
+    assert all("base" in p.attributes and "operation" in p.attributes for p in points)
+    assert sum(p.value for p in points) > 0
+
+    # Histograms are decomposed into bucket / count / sum observable counters.
+    bucket = metrics["lance_object_store_request_duration_seconds_bucket"]
+    bucket_points = list(bucket.data.data_points)
+    assert bucket_points
+    assert all("le" in p.attributes for p in bucket_points)
+    # The implicit +Inf bucket must be present and is the cumulative maximum.
+    assert any(p.attributes["le"] == "+Inf" for p in bucket_points)
+
+    count = metrics["lance_object_store_request_duration_seconds_count"]
+    assert sum(p.value for p in count.data.data_points) > 0
+
+    # The `_sum` instrument must also be wired and report positive latency.
+    duration_sum = metrics["lance_object_store_request_duration_seconds_sum"]
+    assert sum(p.value for p in duration_sum.data.data_points) > 0
+
+    # Unit handling: only `_sum` keeps the histogram's unit (seconds); `_bucket`
+    # and `_count` observe cumulative counts and are unitless.
+    assert duration_sum.unit == "s"
+    assert bucket.unit == ""
+    assert count.unit == ""
+
+
+def test_snapshot_empty_before_install_is_safe():
+    # snapshot is callable regardless of installation state and never raises.
+    from lancedb._lancedb import snapshot_lancedb_metrics
+
+    assert isinstance(snapshot_lancedb_metrics(), list)
+
+
+def test_instrument_warns_when_recorder_unavailable(monkeypatch):
+    # A foreign `metrics` recorder already installed -> register returns False;
+    # instrument_lancedb_metrics must warn and return False without instrumenting.
+    pytest.importorskip("opentelemetry.sdk.metrics")
+    import lancedb.otel as otel
+    from opentelemetry.sdk.metrics import MeterProvider
+    from opentelemetry.sdk.metrics.export import InMemoryMetricReader
+
+    monkeypatch.setattr(otel, "register_lancedb_metrics_recorder", lambda: False)
+
+    reader = InMemoryMetricReader()
+    provider = MeterProvider(metric_readers=[reader])
+    with pytest.warns(UserWarning, match="recorder"):
+        assert otel.instrument_lancedb_metrics(provider) is False

python/uv.lock

@@ -780,7 +780,7 @@ name = "cuda-bindings"
 version = "13.3.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "cuda-pathfinder" },
+    { name = "cuda-pathfinder", marker = "(python_full_version < '3.14' and sys_platform == 'emscripten') or (python_full_version < '3.14' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/a9/21/8464d133752951c154feafb3b65c297e7d80f301183d220bec4c830f1441/cuda_bindings-13.3.1-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:120fcc53d57903df529c3486962c56528cba5b7d6c57c99537320ed9922c8b86", size = 6073403, upload-time = "2026-05-29T23:11:36.22Z" },
@@ -815,37 +815,37 @@ wheels = [
 
 [package.optional-dependencies]
 cublas = [
-    { name = "nvidia-cublas", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "nvidia-cublas", marker = "(python_full_version < '3.14' and sys_platform == 'win32') or sys_platform == 'linux'" },
 ]
 cudart = [
-    { name = "nvidia-cuda-runtime", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "nvidia-cuda-runtime", marker = "(python_full_version < '3.14' and sys_platform == 'win32') or sys_platform == 'linux'" },
 ]
 cufft = [
-    { name = "nvidia-cufft", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "nvidia-cufft", marker = "(python_full_version < '3.14' and sys_platform == 'win32') or sys_platform == 'linux'" },
 ]
 cufile = [
     { name = "nvidia-cufile", marker = "sys_platform == 'linux'" },
 ]
 cupti = [
-    { name = "nvidia-cuda-cupti", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "nvidia-cuda-cupti", marker = "(python_full_version < '3.14' and sys_platform == 'win32') or sys_platform == 'linux'" },
 ]
 curand = [
-    { name = "nvidia-curand", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "nvidia-curand", marker = "(python_full_version < '3.14' and sys_platform == 'win32') or sys_platform == 'linux'" },
 ]
 cusolver = [
-    { name = "nvidia-cusolver", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "nvidia-cusolver", marker = "(python_full_version < '3.14' and sys_platform == 'win32') or sys_platform == 'linux'" },
 ]
 cusparse = [
-    { name = "nvidia-cusparse", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "nvidia-cusparse", marker = "(python_full_version < '3.14' and sys_platform == 'win32') or sys_platform == 'linux'" },
 ]
 nvjitlink = [
-    { name = "nvidia-nvjitlink", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "nvidia-nvjitlink", marker = "(python_full_version < '3.14' and sys_platform == 'win32') or sys_platform == 'linux'" },
 ]
 nvrtc = [
-    { name = "nvidia-cuda-nvrtc", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "nvidia-cuda-nvrtc", marker = "(python_full_version < '3.14' and sys_platform == 'win32') or sys_platform == 'linux'" },
 ]
 nvtx = [
-    { name = "nvidia-nvtx", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "nvidia-nvtx", marker = "(python_full_version < '3.14' and sys_platform == 'win32') or sys_platform == 'linux'" },
 ]
 
 [[package]]
@@ -1909,6 +1909,9 @@ embeddings = [
     { name = "sentencepiece" },
     { name = "torch" },
 ]
+otel = [
+    { name = "opentelemetry-api" },
+]
 pylance = [
     { name = "pylance" },
 ]
@@ -1923,6 +1926,7 @@ tests = [
     { name = "boto3" },
     { name = "datafusion" },
     { name = "duckdb" },
+    { name = "opentelemetry-sdk" },
     { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
     { name = "pandas", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11' and python_full_version < '3.14'" },
     { name = "pandas", version = "3.0.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.14'" },
@@ -1963,6 +1967,8 @@ requires-dist = [
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     { name = "open-clip-torch", marker = "extra == 'embeddings'", specifier = ">=2.20.0" },
     { name = "openai", marker = "extra == 'embeddings'", specifier = ">=1.6.1" },
+    { name = "opentelemetry-api", marker = "extra == 'otel'" },
+    { name = "opentelemetry-sdk", marker = "extra == 'tests'", specifier = ">=1.30.0" },
     { name = "overrides", marker = "python_full_version < '3.12'", specifier = ">=0.7" },
     { name = "packaging", specifier = ">=23.0" },
     { name = "pandas", marker = "extra == 'tests'", specifier = ">=1.4" },
@@ -1994,7 +2000,7 @@ requires-dist = [
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     { name = "typing-extensions", marker = "python_full_version < '3.11' and extra == 'dev'", specifier = ">=4.0.0" },
 ]
-provides-extras = ["azure", "clip", "dev", "docs", "embeddings", "pylance", "siglip", "tests"]
+provides-extras = ["azure", "clip", "dev", "docs", "embeddings", "otel", "pylance", "siglip", "tests"]
 
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 name = "lomond"
@@ -2775,7 +2781,7 @@ name = "nvidia-cudnn-cu13"
 version = "9.19.0.56"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cublas" },
+    { name = "nvidia-cublas", marker = "(python_full_version < '3.14' and sys_platform == 'emscripten') or (python_full_version < '3.14' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
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@@ -2787,7 +2793,7 @@ name = "nvidia-cufft"
 version = "12.0.0.61"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-nvjitlink" },
+    { name = "nvidia-nvjitlink", marker = "(python_full_version < '3.14' and sys_platform == 'emscripten') or (python_full_version < '3.14' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
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@@ -2817,9 +2823,9 @@ name = "nvidia-cusolver"
 version = "12.0.4.66"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cublas" },
-    { name = "nvidia-cusparse" },
-    { name = "nvidia-nvjitlink" },
+    { name = "nvidia-cublas", marker = "(python_full_version < '3.14' and sys_platform == 'emscripten') or (python_full_version < '3.14' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
+    { name = "nvidia-cusparse", marker = "(python_full_version < '3.14' and sys_platform == 'emscripten') or (python_full_version < '3.14' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
+    { name = "nvidia-nvjitlink", marker = "(python_full_version < '3.14' and sys_platform == 'emscripten') or (python_full_version < '3.14' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
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@@ -2831,7 +2837,7 @@ name = "nvidia-cusparse"
 version = "12.6.3.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-nvjitlink" },
+    { name = "nvidia-nvjitlink", marker = "(python_full_version < '3.14' and sys_platform == 'emscripten') or (python_full_version < '3.14' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
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 ]
 
+[[package]]
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+version = "1.43.0"
+source = { registry = "https://pypi.org/simple" }
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+]
+
+[[package]]
+name = "opentelemetry-sdk"
+version = "1.43.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "opentelemetry-api" },
+    { name = "opentelemetry-semantic-conventions" },
+    { name = "typing-extensions" },
+]
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+]
+
+[[package]]
+name = "opentelemetry-semantic-conventions"
+version = "0.64b0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "opentelemetry-api" },
+    { name = "typing-extensions" },
+]
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+]
+
 [[package]]
 name = "overrides"
 version = "7.7.0"