Merge branch 'main' into django-issue-fix

Author: rads-1996

.github/workflows/generate_workflows_lib/src/generate_workflows_lib/__init__.py

@@ -143,7 +143,7 @@ def get_contrib_job_datas(tox_envs: list) -> list:
 
         contrib_job_datas.append(
             {
-                "ui_name": (f"{groups['name']}" f"{contrib_requirements}"),
+                "ui_name": (f"{groups['name']}{contrib_requirements}"),
                 "tox_env": tox_env,
             }
         )

.pre-commit-config.yaml

@@ -1,7 +1,7 @@
 repos:
   - repo: https://github.com/astral-sh/ruff-pre-commit
     # Ruff version.
-    rev: v0.6.9
+    rev: v0.14.1
     hooks:
       # Run the linter.
       - id: ruff

CHANGELOG.md

@@ -44,9 +44,14 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
   ([#3882](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3882))
 - `opentelemetry-instrumentation-aiohttp-server`: delay initialization of tracer, meter and excluded urls to instrumentation for testability
   ([#3836](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3836))
+- Replace Python 3.14-deprecated `asyncio.iscoroutinefunction` with `inspect.iscoroutinefunction`. 
+  ([#3880](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3880))
 - `opentelemetry-instrumentation-elasticsearch`: Enhance elasticsearch query body sanitization
   ([#3919](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3919)) 
-
+- `opentelemetry-instrumentation-pymongo`: Fix span error descriptions
+  ([#3904](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3904))
+- build: bump ruff to 0.14.1
+  ([#3842](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3842))
 
 ## Version 1.38.0/0.59b0 (2025-10-16)
 

dev-requirements.txt

@@ -15,4 +15,4 @@ ruamel.yaml==0.17.21
 flaky==3.7.0
 pre-commit==3.7.0; python_version >= '3.9'
 pre-commit==3.5.0; python_version < '3.9'
-ruff==0.6.9
+ruff==0.14.1

exporter/opentelemetry-exporter-prometheus-remote-write/tests/test_prometheus_remote_write_exporter.py

@@ -122,9 +122,9 @@ def test_parse_metric(metric, prom_rw):
         "bool_value": True,
     }
 
-    assert (
-        len(metric.data.data_points) == 1
-    ), "We can only support a single datapoint in tests"
+    assert len(metric.data.data_points) == 1, (
+        "We can only support a single datapoint in tests"
+    )
     series = prom_rw._parse_metric(metric, tuple(attributes.items()))
     timestamp = metric.data.data_points[0].time_unix_nano // 1_000_000
     for single_series in series:

gen-requirements.txt

@@ -2,7 +2,7 @@
 astor==0.8.1
 jinja2==3.1.6
 markupsafe==2.0.1
-ruff==0.6.9
+ruff==0.14.1
 requests
 tomli
 tomli_w

instrumentation-genai/opentelemetry-instrumentation-google-genai/CHANGELOG.md

@@ -7,7 +7,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## Unreleased
 
-- Minor change to check LRU cache in Completion Hook before acquiring semaphore/thread ([#3907](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3907)).
+- Ensure log event is written and completion hook is called even when model call results in exception. Put new
+log event (` gen_ai.client.inference.operation.details`) behind the flag `OTEL_SEMCONV_STABILITY_OPT_IN=gen_ai_latest_experimental`.
+Ensure same sem conv attributes are on the log and span. Fix an issue where the instrumentation would crash when a pydantic.BaseModel class was passed as the response schema ([#3905](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3905)).
 
 ## Version 0.4b0 (2025-10-16)
 

instrumentation-genai/opentelemetry-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/dict_util.py

@@ -151,7 +151,7 @@ def _flatten_compound_value_using_json(
     )
 
 
-def _flatten_compound_value(
+def _flatten_compound_value(  # pylint: disable=too-many-return-statements
     key: str,
     value: Any,
     exclude_keys: Set[str],
@@ -189,13 +189,16 @@ def _flatten_compound_value(
             flatten_functions=flatten_functions,
         )
     if hasattr(value, "model_dump"):
-        return _flatten_dict(
-            value.model_dump(),
-            key_prefix=key,
-            exclude_keys=exclude_keys,
-            rename_keys=rename_keys,
-            flatten_functions=flatten_functions,
-        )
+        try:
+            return _flatten_dict(
+                value.model_dump(),
+                key_prefix=key,
+                exclude_keys=exclude_keys,
+                rename_keys=rename_keys,
+                flatten_functions=flatten_functions,
+            )
+        except TypeError:
+            return {key: str(value)}
     return _flatten_compound_value_using_json(
         key,
         value,