Prepare release for opentelemetry-instrumentation-google-genai v0.1b0 (#3335)

.github/ISSUE_TEMPLATE/bug_report.yaml

@@ -18,7 +18,7 @@ body:
         Please describe any aspect of your environment relevant to the problem, including your Python version, [platform](https://docs.python.org/3/library/platform.html), version numbers of installed dependencies, information about your cloud hosting provider, etc. If you're reporting a problem with a specific version of a library in this repo, please check whether the problem has been fixed on main.
       value: |
         OS: (e.g, Ubuntu)
-        Python version: (e.g., Python 3.9.10)
+        Python version: (e.g., Python 3.8.10)
         Package version: (e.g., 0.46.0)
   
   - type: textarea

.github/component_owners.yml

@@ -11,9 +11,6 @@ components:
     - oxeye-nikolay
     - nikosokolik
   
-  instrumentation/opentelemetry-instrumentation-asyncclick:
-    - jomcgi
-
   instrumentation/opentelemetry-instrumentation-kafka-python:
     - nozik
   

.github/workflows/generate_workflows_lib/pyproject.toml

@@ -7,7 +7,7 @@ name = "generate-workflows-lib"
 dynamic = ["version"]
 description = "A library to generate workflows"
 license = "Apache-2.0"
-requires-python = ">=3.9"
+requires-python = ">=3.8"
 authors = [
   { name = "OpenTelemetry Authors", email = "cncf-opentelemetry-contributors@lists.cncf.io" },
 ]
@@ -17,6 +17,7 @@ classifiers = [
   "License :: OSI Approved :: Apache Software License",
   "Programming Language :: Python",
   "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3.8",
   "Programming Language :: Python :: 3.9",
   "Programming Language :: Python :: 3.10",
   "Programming Language :: Python :: 3.11",

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

@@ -14,7 +14,7 @@ _tox_test_env_regex = re_compile(
 )
 _tox_lint_env_regex = re_compile(r"lint-(?P<name>[-\w]+)")
 _tox_contrib_env_regex = re_compile(
-    r"py39-test-(?P<name>[-\w]+\w)-?(?P<contrib_requirements>\d+)?"
+    r"py38-test-(?P<name>[-\w]+\w)-?(?P<contrib_requirements>\d+)?"
 )
 
 
@@ -47,8 +47,8 @@ def get_test_job_datas(tox_envs: list, operating_systems: list) -> list:
     os_alias = {"ubuntu-latest": "Ubuntu", "windows-latest": "Windows"}
 
     python_version_alias = {
-        "pypy3": "pypy-3.9",
-        "pypy310": "pypy-3.10",
+        "pypy3": "pypy-3.8",
+        "py38": "3.8",
         "py39": "3.9",
         "py310": "3.10",
         "py311": "3.11",

.github/workflows/generate_workflows_lib/src/generate_workflows_lib/core_contrib_test.yml.j2

@@ -12,7 +12,6 @@ on:
       CONTRIB_REPO_SHA:
         required: true
         type: string
-
 env:
   CORE_REPO_SHA: ${% raw %}{{ inputs.CORE_REPO_SHA }}{% endraw %}
   CONTRIB_REPO_SHA: ${% raw %}{{ inputs.CONTRIB_REPO_SHA }}{% endraw %}
@@ -24,7 +23,6 @@ jobs:
   {{ job_data.tox_env }}:
     name: {{ job_data.ui_name }}
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout contrib repo @ SHA - ${% raw %}{{ env.CONTRIB_REPO_SHA }}{% endraw %}
         uses: actions/checkout@v4
@@ -32,10 +30,10 @@ jobs:
           repository: open-telemetry/opentelemetry-python-contrib
           ref: ${% raw %}{{ env.CONTRIB_REPO_SHA }}{% endraw %}
 
-      - name: Set up Python 3.9
+      - name: Set up Python 3.8
         uses: actions/setup-python@v5
         with:
-          python-version: "3.9"
+          python-version: "3.8"
           architecture: "x64"
 
       - name: Install tox

.github/workflows/generate_workflows_lib/src/generate_workflows_lib/lint.yml.j2

@@ -9,20 +9,8 @@ on:
     - 'release/*'
   pull_request:
 
-concurrency:
-  group: ${% raw %}{{ github.workflow }}-${{ github.head_ref || github.run_id }}{% endraw %}
-  cancel-in-progress: true
-
 env:
-  # Set the SHA to the branch name if the PR has a label 'prepare-release' or 'backport' otherwise, set it to 'main'
-  # For PRs you can change the inner fallback ('main')
-  # For pushes you change the outer fallback ('main')
-  # The logic below is used during releases and depends on having an equivalent branch name in the core repo.
-  CORE_REPO_SHA: {% raw %}${{ github.event_name == 'pull_request' && (
-       contains(github.event.pull_request.labels.*.name, 'prepare-release') && github.event.pull_request.head.ref ||
-       contains(github.event.pull_request.labels.*.name, 'backport') && github.event.pull_request.base.ref ||
-       'main'
-    ) || 'main' }}{% endraw %}
+  CORE_REPO_SHA: main
   CONTRIB_REPO_SHA: main
   PIP_EXISTS_ACTION: w
 
@@ -32,7 +20,6 @@ jobs:
   {{ job_data.name }}:
     name: {{ job_data.ui_name }}
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${% raw %}{{ github.sha }}{% endraw %}
         uses: actions/checkout@v4

.github/workflows/generate_workflows_lib/src/generate_workflows_lib/misc.yml.j2

@@ -9,20 +9,8 @@ on:
     - 'release/*'
   pull_request:
 
-concurrency:
-  group: ${% raw %}{{ github.workflow }}-${{ github.head_ref || github.run_id }}{% endraw %}
-  cancel-in-progress: true
-
 env:
-  # Set the SHA to the branch name if the PR has a label 'prepare-release' or 'backport' otherwise, set it to 'main'
-  # For PRs you can change the inner fallback ('main')
-  # For pushes you change the outer fallback ('main')
-  # The logic below is used during releases and depends on having an equivalent branch name in the core repo.
-  CORE_REPO_SHA: {% raw %}${{ github.event_name == 'pull_request' && (
-       contains(github.event.pull_request.labels.*.name, 'prepare-release') && github.event.pull_request.head.ref ||
-       contains(github.event.pull_request.labels.*.name, 'backport') && github.event.pull_request.base.ref ||
-       'main'
-    ) || 'main' }}{% endraw %}
+  CORE_REPO_SHA: main
   CONTRIB_REPO_SHA: main
   PIP_EXISTS_ACTION: w
 
@@ -32,7 +20,6 @@ jobs:
   {{ job_data }}:
     name: {{ job_data }}
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     {%- if job_data == "generate-workflows" %}
     if: |
       !contains(github.event.pull_request.labels.*.name, 'Skip generate-workflows')

.github/workflows/generate_workflows_lib/src/generate_workflows_lib/test.yml.j2

@@ -9,20 +9,8 @@ on:
     - 'release/*'
   pull_request:
 
-concurrency:
-  group: ${% raw %}{{ github.workflow }}-${{ github.head_ref || github.run_id }}{% endraw %}
-  cancel-in-progress: true
-
 env:
-  # Set the SHA to the branch name if the PR has a label 'prepare-release' or 'backport' otherwise, set it to 'main'
-  # For PRs you can change the inner fallback ('main')
-  # For pushes you change the outer fallback ('main')
-  # The logic below is used during releases and depends on having an equivalent branch name in the core repo.
-  CORE_REPO_SHA: {% raw %}${{ github.event_name == 'pull_request' && (
-       contains(github.event.pull_request.labels.*.name, 'prepare-release') && github.event.pull_request.head.ref ||
-       contains(github.event.pull_request.labels.*.name, 'backport') && github.event.pull_request.base.ref ||
-       'main'
-    ) || 'main' }}{% endraw %}
+  CORE_REPO_SHA: main
   CONTRIB_REPO_SHA: main
   PIP_EXISTS_ACTION: w
 
@@ -32,7 +20,6 @@ jobs:
   {{ job_data.name }}:
     name: {{ job_data.ui_name }}
     runs-on: {{ job_data.os }}
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${% raw %}{{ github.sha }}{% endraw %}
         uses: actions/checkout@v4

.github/workflows/lint_0.yml

@@ -9,20 +9,8 @@ on:
     - 'release/*'
   pull_request:
 
-concurrency:
-  group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
-  cancel-in-progress: true
-
 env:
-  # Set the SHA to the branch name if the PR has a label 'prepare-release' or 'backport' otherwise, set it to 'main'
-  # For PRs you can change the inner fallback ('main')
-  # For pushes you change the outer fallback ('main')
-  # The logic below is used during releases and depends on having an equivalent branch name in the core repo.
-  CORE_REPO_SHA: ${{ github.event_name == 'pull_request' && (
-       contains(github.event.pull_request.labels.*.name, 'prepare-release') && github.event.pull_request.head.ref ||
-       contains(github.event.pull_request.labels.*.name, 'backport') && github.event.pull_request.base.ref ||
-       'main'
-    ) || 'main' }}
+  CORE_REPO_SHA: main
   CONTRIB_REPO_SHA: main
   PIP_EXISTS_ACTION: w
 
@@ -31,7 +19,6 @@ jobs:
   lint-instrumentation-openai-v2:
     name: instrumentation-openai-v2
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -50,7 +37,6 @@ jobs:
   lint-instrumentation-vertexai:
     name: instrumentation-vertexai
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -69,7 +55,6 @@ jobs:
   lint-instrumentation-google-genai:
     name: instrumentation-google-genai
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -85,10 +70,9 @@ jobs:
       - name: Run tests
         run: tox -e lint-instrumentation-google-genai
 
-  lint-resource-detector-containerid:
-    name: resource-detector-containerid
+  lint-resource-detector-container:
+    name: resource-detector-container
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -102,12 +86,11 @@ jobs:
         run: pip install tox-uv
 
       - name: Run tests
-        run: tox -e lint-resource-detector-containerid
+        run: tox -e lint-resource-detector-container
 
   lint-resource-detector-azure:
     name: resource-detector-azure
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -126,7 +109,6 @@ jobs:
   lint-sdk-extension-aws:
     name: sdk-extension-aws
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -145,7 +127,6 @@ jobs:
   lint-distro:
     name: distro
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -164,7 +145,6 @@ jobs:
   lint-opentelemetry-instrumentation:
     name: opentelemetry-instrumentation
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -183,7 +163,6 @@ jobs:
   lint-instrumentation-aiohttp-client:
     name: instrumentation-aiohttp-client
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -202,7 +181,6 @@ jobs:
   lint-instrumentation-aiohttp-server:
     name: instrumentation-aiohttp-server
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -221,7 +199,6 @@ jobs:
   lint-instrumentation-aiopg:
     name: instrumentation-aiopg
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -240,7 +217,6 @@ jobs:
   lint-instrumentation-aws-lambda:
     name: instrumentation-aws-lambda
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -259,7 +235,6 @@ jobs:
   lint-instrumentation-botocore:
     name: instrumentation-botocore
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -278,7 +253,6 @@ jobs:
   lint-instrumentation-boto3sqs:
     name: instrumentation-boto3sqs
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -297,7 +271,6 @@ jobs:
   lint-instrumentation-django:
     name: instrumentation-django
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -316,7 +289,6 @@ jobs:
   lint-instrumentation-dbapi:
     name: instrumentation-dbapi
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -335,7 +307,6 @@ jobs:
   lint-instrumentation-boto:
     name: instrumentation-boto
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -351,29 +322,9 @@ jobs:
       - name: Run tests
         run: tox -e lint-instrumentation-boto
 
-  lint-instrumentation-asyncclick:
-    name: instrumentation-asyncclick
-    runs-on: ubuntu-latest
-    timeout-minutes: 30
-    steps:
-      - name: Checkout repo @ SHA - ${{ github.sha }}
-        uses: actions/checkout@v4
-
-      - name: Set up Python 3.13
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.13"
-
-      - name: Install tox
-        run: pip install tox-uv
-
-      - name: Run tests
-        run: tox -e lint-instrumentation-asyncclick
-
   lint-instrumentation-click:
     name: instrumentation-click
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -392,7 +343,6 @@ jobs:
   lint-instrumentation-elasticsearch:
     name: instrumentation-elasticsearch
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -411,7 +361,6 @@ jobs:
   lint-instrumentation-falcon:
     name: instrumentation-falcon
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -430,7 +379,6 @@ jobs:
   lint-instrumentation-fastapi:
     name: instrumentation-fastapi
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -449,7 +397,6 @@ jobs:
   lint-instrumentation-flask:
     name: instrumentation-flask
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -468,7 +415,6 @@ jobs:
   lint-instrumentation-urllib:
     name: instrumentation-urllib
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -487,7 +433,6 @@ jobs:
   lint-instrumentation-urllib3:
     name: instrumentation-urllib3
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -506,7 +451,6 @@ jobs:
   lint-instrumentation-requests:
     name: instrumentation-requests
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -525,7 +469,6 @@ jobs:
   lint-instrumentation-starlette:
     name: instrumentation-starlette
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -544,7 +487,6 @@ jobs:
   lint-instrumentation-jinja2:
     name: instrumentation-jinja2
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -563,7 +505,6 @@ jobs:
   lint-instrumentation-logging:
     name: instrumentation-logging
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -582,7 +523,6 @@ jobs:
   lint-exporter-richconsole:
     name: exporter-richconsole
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -601,7 +541,6 @@ jobs:
   lint-exporter-prometheus-remote-write:
     name: exporter-prometheus-remote-write
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -620,7 +559,6 @@ jobs:
   lint-instrumentation-mysql:
     name: instrumentation-mysql
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -639,7 +577,6 @@ jobs:
   lint-instrumentation-mysqlclient:
     name: instrumentation-mysqlclient
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -658,7 +595,6 @@ jobs:
   lint-instrumentation-psycopg2:
     name: instrumentation-psycopg2
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -677,7 +613,6 @@ jobs:
   lint-instrumentation-psycopg:
     name: instrumentation-psycopg
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -696,7 +631,6 @@ jobs:
   lint-instrumentation-pymemcache:
     name: instrumentation-pymemcache
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -715,7 +649,6 @@ jobs:
   lint-instrumentation-pymongo:
     name: instrumentation-pymongo
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -734,7 +667,6 @@ jobs:
   lint-instrumentation-pymysql:
     name: instrumentation-pymysql
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -753,7 +685,6 @@ jobs:
   lint-instrumentation-pymssql:
     name: instrumentation-pymssql
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -772,7 +703,6 @@ jobs:
   lint-instrumentation-pyramid:
     name: instrumentation-pyramid
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -791,7 +721,6 @@ jobs:
   lint-instrumentation-asgi:
     name: instrumentation-asgi
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -810,7 +739,6 @@ jobs:
   lint-instrumentation-asyncpg:
     name: instrumentation-asyncpg
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -829,7 +757,6 @@ jobs:
   lint-instrumentation-sqlite3:
     name: instrumentation-sqlite3
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -848,7 +775,6 @@ jobs:
   lint-instrumentation-wsgi:
     name: instrumentation-wsgi
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -867,7 +793,6 @@ jobs:
   lint-instrumentation-grpc:
     name: instrumentation-grpc
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -886,7 +811,6 @@ jobs:
   lint-instrumentation-sqlalchemy:
     name: instrumentation-sqlalchemy
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -905,7 +829,6 @@ jobs:
   lint-instrumentation-redis:
     name: instrumentation-redis
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -924,7 +847,6 @@ jobs:
   lint-instrumentation-remoulade:
     name: instrumentation-remoulade
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -943,7 +865,6 @@ jobs:
   lint-instrumentation-celery:
     name: instrumentation-celery
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -962,7 +883,6 @@ jobs:
   lint-instrumentation-system-metrics:
     name: instrumentation-system-metrics
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -981,7 +901,6 @@ jobs:
   lint-instrumentation-threading:
     name: instrumentation-threading
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -1000,7 +919,6 @@ jobs:
   lint-instrumentation-tornado:
     name: instrumentation-tornado
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -1019,7 +937,6 @@ jobs:
   lint-instrumentation-tortoiseorm:
     name: instrumentation-tortoiseorm
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -1038,7 +955,6 @@ jobs:
   lint-instrumentation-httpx:
     name: instrumentation-httpx
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -1057,7 +973,6 @@ jobs:
   lint-util-http:
     name: util-http
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -1076,7 +991,6 @@ jobs:
   lint-propagator-aws-xray:
     name: propagator-aws-xray
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -1095,7 +1009,6 @@ jobs:
   lint-propagator-ot-trace:
     name: propagator-ot-trace
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -1114,7 +1027,6 @@ jobs:
   lint-instrumentation-sio-pika:
     name: instrumentation-sio-pika
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -1133,7 +1045,6 @@ jobs:
   lint-instrumentation-aio-pika:
     name: instrumentation-aio-pika
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -1152,7 +1063,6 @@ jobs:
   lint-instrumentation-aiokafka:
     name: instrumentation-aiokafka
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -1171,7 +1081,6 @@ jobs:
   lint-instrumentation-kafka-python:
     name: instrumentation-kafka-python
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -1190,7 +1099,6 @@ jobs:
   lint-instrumentation-confluent-kafka:
     name: instrumentation-confluent-kafka
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -1209,7 +1117,6 @@ jobs:
   lint-instrumentation-asyncio:
     name: instrumentation-asyncio
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -1228,7 +1135,6 @@ jobs:
   lint-instrumentation-cassandra:
     name: instrumentation-cassandra
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -1247,7 +1153,6 @@ jobs:
   lint-processor-baggage:
     name: processor-baggage
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4

.github/workflows/misc_0.yml

@@ -9,20 +9,8 @@ on:
     - 'release/*'
   pull_request:
 
-concurrency:
-  group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
-  cancel-in-progress: true
-
 env:
-  # Set the SHA to the branch name if the PR has a label 'prepare-release' or 'backport' otherwise, set it to 'main'
-  # For PRs you can change the inner fallback ('main')
-  # For pushes you change the outer fallback ('main')
-  # The logic below is used during releases and depends on having an equivalent branch name in the core repo.
-  CORE_REPO_SHA: ${{ github.event_name == 'pull_request' && (
-       contains(github.event.pull_request.labels.*.name, 'prepare-release') && github.event.pull_request.head.ref ||
-       contains(github.event.pull_request.labels.*.name, 'backport') && github.event.pull_request.base.ref ||
-       'main'
-    ) || 'main' }}
+  CORE_REPO_SHA: main
   CONTRIB_REPO_SHA: main
   PIP_EXISTS_ACTION: w
 
@@ -31,7 +19,6 @@ jobs:
   spellcheck:
     name: spellcheck
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -50,7 +37,6 @@ jobs:
   docker-tests:
     name: docker-tests
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -69,7 +55,6 @@ jobs:
   docs:
     name: docs
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     if: |
       github.event.pull_request.user.login != 'opentelemetrybot' && github.event_name == 'pull_request'
     steps:
@@ -90,7 +75,6 @@ jobs:
   generate:
     name: generate
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -112,7 +96,6 @@ jobs:
   generate-workflows:
     name: generate-workflows
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     if: |
       !contains(github.event.pull_request.labels.*.name, 'Skip generate-workflows')
       && github.event.pull_request.user.login != 'opentelemetrybot' && github.event_name == 'pull_request'
@@ -137,7 +120,6 @@ jobs:
   shellcheck:
     name: shellcheck
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -156,7 +138,6 @@ jobs:
   ruff:
     name: ruff
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4
@@ -175,7 +156,6 @@ jobs:
   typecheck:
     name: typecheck
     runs-on: ubuntu-latest
-    timeout-minutes: 30
     steps:
       - name: Checkout repo @ SHA - ${{ github.sha }}
         uses: actions/checkout@v4

.github/workflows/ossf-scorecard.yml

@@ -1,47 +0,0 @@
-name: OSSF Scorecard
-
-on:
-  push:
-    branches:
-      - main
-  schedule:
-    - cron: "10 6 * * 1" # once a week
-  workflow_dispatch:
-
-permissions: read-all
-
-jobs:
-  analysis:
-    runs-on: ubuntu-latest
-    permissions:
-      # Needed for Code scanning upload
-      security-events: write
-      # Needed for GitHub OIDC token if publish_results is true
-      id-token: write
-    steps:
-      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
-        with:
-          persist-credentials: false
-
-      - uses: ossf/scorecard-action@f49aabe0b5af0936a0987cfb85d86b75731b0186 # v2.4.1
-        with:
-          results_file: results.sarif
-          results_format: sarif
-          publish_results: true
-
-      # Upload the results as artifacts (optional). Commenting out will disable
-      # uploads of run results in SARIF format to the repository Actions tab.
-      # https://docs.github.com/en/actions/advanced-guides/storing-workflow-data-as-artifacts
-      - name: "Upload artifact"
-        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
-        with:
-          name: SARIF file
-          path: results.sarif
-          retention-days: 5
-
-      # Upload the results to GitHub's code scanning dashboard (optional).
-      # Commenting out will disable upload of results to your repo's Code Scanning dashboard
-      - name: "Upload to code-scanning"
-        uses: github/codeql-action/upload-sarif@5f8171a638ada777af81d42b55959a643bb29017 # v3.28.12
-        with:
-          sarif_file: results.sarif

.github/workflows/package-release.yml

@@ -78,7 +78,7 @@ jobs:
         # next few steps publish to pypi
       - uses: actions/setup-python@v5
         with:
-          python-version: '3.9'
+          python-version: '3.8'
 
       - name: Build wheels
         run: ./scripts/build_a_package.sh

.github/workflows/prepare-patch-release.yml

@@ -71,7 +71,6 @@ jobs:
         run: .github/scripts/use-cla-approved-github-bot.sh
 
       - name: Create pull request
-        id: create_pr
         env:
           # not using secrets.GITHUB_TOKEN since pull requests from that token do not run workflows
           GITHUB_TOKEN: ${{ secrets.OPENTELEMETRYBOT_GITHUB_TOKEN }}
@@ -81,15 +80,7 @@ jobs:
 
           git commit -a -m "$message"
           git push origin HEAD:$branch
-          pr_url=$(gh pr create --title "[$GITHUB_REF_NAME] $message" \
+          gh pr create --title "[$GITHUB_REF_NAME] $message" \
                        --body "$message." \
                        --head $branch \
-                       --base $GITHUB_REF_NAME)
-          echo "pr_url=$pr_url" >> $GITHUB_OUTPUT
-
-      - name: Add prepare-release label to PR
-        if: steps.create_pr.outputs.pr_url != ''
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        run: |
-          gh pr edit ${{ steps.create_pr.outputs.pr_url }}  --add-label "prepare-release"
+                       --base $GITHUB_REF_NAME

.github/workflows/prepare-release-branch.yml

@@ -94,7 +94,6 @@ jobs:
         run: .github/scripts/use-cla-approved-github-bot.sh
 
       - name: Create pull request against the release branch
-        id: create_release_branch_pr
         env:
           # not using secrets.GITHUB_TOKEN since pull requests from that token do not run workflows
           GITHUB_TOKEN: ${{ secrets.OPENTELEMETRYBOT_GITHUB_TOKEN }}
@@ -104,18 +103,10 @@ jobs:
 
           git commit -a -m "$message"
           git push origin HEAD:$branch
-          pr_url=$(gh pr create --title "[$RELEASE_BRANCH_NAME] $message" \
+          gh pr create --title "[$RELEASE_BRANCH_NAME] $message" \
                        --body "$message." \
                        --head $branch \
-                       --base $RELEASE_BRANCH_NAME)
-          echo "pr_url=$pr_url" >> $GITHUB_OUTPUT
-
-      - name: Add prepare-release label to PR
-        if: steps.create_release_branch_pr.outputs.pr_url != ''
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        run: |
-          gh pr edit ${{ steps.create_release_branch_pr.outputs.pr_url }}  --add-label "prepare-release"
+                       --base $RELEASE_BRANCH_NAME
 
   create-pull-request-against-main:
     runs-on: ubuntu-latest
@@ -188,7 +179,6 @@ jobs:
         run: .github/scripts/use-cla-approved-github-bot.sh
 
       - name: Create pull request against main
-        id: create_main_pr
         env:
           # not using secrets.GITHUB_TOKEN since pull requests from that token do not run workflows
           GITHUB_TOKEN: ${{ secrets.OPENTELEMETRYBOT_GITHUB_TOKEN }}
@@ -199,15 +189,7 @@ jobs:
 
           git commit -a -m "$message"
           git push origin HEAD:$branch
-          pr_url=$(gh pr create --title "$message" \
+          gh pr create --title "$message" \
                        --body "$body" \
                        --head $branch \
-                       --base main)
-          echo "pr_url=$pr_url" >> $GITHUB_OUTPUT
-
-      - name: Add prepare-release label to PR
-        if: steps.create_main_pr.outputs.pr_url != ''
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        run: |
-          gh pr edit ${{ steps.create_main_pr.outputs.pr_url }}  --add-label "prepare-release"
+                       --base main

.github/workflows/release.yml

@@ -66,7 +66,7 @@ jobs:
         # next few steps publish to pypi
       - uses: actions/setup-python@v5
         with:
-          python-version: '3.9'
+          python-version: '3.8'
 
       - name: Build wheels
         run: ./scripts/build.sh

.pylintrc

@@ -46,7 +46,7 @@ suggestion-mode=yes
 unsafe-load-any-extension=no
 
 # Run python dependant checks considering the baseline version
-py-version=3.9
+py-version=3.8
 
 
 [MESSAGES CONTROL]

CHANGELOG.md

@@ -11,150 +11,11 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## Unreleased
 
-## Version 1.35.0/0.56b0 (2025-07-11)
-
-### Added
-
-- `opentelemetry-instrumentation-pika` Added instrumentation for All `SelectConnection` adapters
-  ([#3584](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3584))
-- `opentelemetry-instrumentation-tornado` Add support for `WebSocketHandler` instrumentation
-  ([#3498](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3498))
-- `opentelemetry-util-http` Added support for redacting specific url query string values and url credentials in instrumentations
-  ([#3508](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3508))
-- `opentelemetry-instrumentation-pymongo` `aggregate` and `getMore` capture statements support
-  ([#3601](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3601))
-
-### Fixed
-
-- `opentelemetry-instrumentation-asgi`: fix excluded_urls in instrumentation-asgi
-  ([#3567](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3567))
-- `opentelemetry-resource-detector-containerid`: make it more quiet on platforms without cgroups
-  ([#3579](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3579))
-
-## Version 1.34.0/0.55b0 (2025-06-04)
-
-### Fixed
-
-- `opentelemetry-instrumentation-system-metrics`: fix loading on Google Cloud Run
-  ([#3533](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3533))
-- `opentelemetry-instrumentation-fastapi`: fix wrapping of middlewares
-  ([#3012](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3012))
-- `opentelemetry-instrumentation-starlette` Remove max version constraint on starlette
-  ([#3456](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3456))
-- `opentelemetry-instrumentation-starlette` Fix memory leak and double middleware
-  ([#3529](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3529))
-- `opentelemetry-instrumentation-urllib3`: proper bucket boundaries in stable semconv http duration metrics
-  ([#3518](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3518))
-- `opentelemetry-instrumentation-urllib`: proper bucket boundaries in stable semconv http duration metrics
-  ([#3519](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3519))
-- `opentelemetry-instrumentation-falcon`: proper bucket boundaries in stable semconv http duration
-  ([#3525](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3525))
-- `opentelemetry-instrumentation-wsgi`: add explicit http duration buckets for stable semconv
-  ([#3527](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3527))
-- `opentelemetry-instrumentation-asgi`: add explicit http duration buckets for stable semconv
-  ([#3526](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3526))
-- `opentelemetry-instrumentation-flask`: proper bucket boundaries in stable semconv http duration
-  ([#3523](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3523))
-- `opentelemetry-instrumentation-django`: proper bucket boundaries in stable semconv http duration
-  ([#3524](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3524))
-- `opentelemetry-instrumentation-grpc`: support non-list interceptors
-  ([#3520](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3520))
-- `opentelemetry-instrumentation-botocore` Ensure spans end on early stream closure for Bedrock Streaming APIs
-  ([#3481](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3481))
-- `opentelemetry-instrumentation-sqlalchemy` Respect suppress_instrumentation functionality
-  ([#3477](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3477))
-- `opentelemetry-instrumentation-botocore`: fix handling of tool input in Bedrock ConverseStream
-  ([#3544](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3544))
-- `opentelemetry-instrumentation-botocore` Add type check when extracting tool use from Bedrock request message content
-  ([#3548](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3548))
-- `opentelemetry-instrumentation-dbapi` Respect suppress_instrumentation functionality ([#3460](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3460))
-- `opentelemetry-resource-detector-container` Correctly parse container id when using systemd and cgroupsv1
-  ([#3429](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3429))
-
-### Breaking changes
-
-- `opentelemetry-instrumentation-botocore` Use `cloud.region` instead of `aws.region` span attribute as per semantic conventions.
-  ([#3474](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3474))
-- `opentelemetry-instrumentation-fastapi`: Drop support for FastAPI versions earlier than `0.92`
-  ([#3012](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3012))
-- `opentelemetry-resource-detector-container`: rename package name to `opentelemetry-resource-detector-containerid`
-  ([#3536](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3536))
-
-### Added
-
-- `opentelemetry-instrumentation-aiohttp-client` Add support for HTTP metrics
-  ([#3517](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3517))
-- `opentelemetry-instrumentation-httpx` Add support for HTTP metrics
-  ([#3513](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3513))
-- `opentelemetry-instrumentation` Allow re-raising exception when instrumentation fails
-  ([#3545](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3545))
-- `opentelemetry-instrumentation-aiokafka` Add instrumentation of `consumer.getmany` (batch)
-  ([#3257](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3257))
-  
-### Deprecated
-
-- Drop support for Python 3.8, bump baseline to Python 3.9.
-([#3399](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3399))
-
-## Version 1.33.0/0.54b0 (2025-05-09)
-
-### Added
-
-- `opentelemetry-instrumentation-requests` Support explicit_bucket_boundaries_advisory in duration metrics
-  ([#3464](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3464))
-- `opentelemetry-instrumentation-redis` Add support for redis client-specific instrumentation.
-  ([#3143](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3143))
-
-### Fixed
-
-- `opentelemetry-instrumentation` Catch `ModuleNotFoundError` when the library is not installed
-  and log as debug instead of exception
-  ([#3423](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3423))
-- `opentelemetry-instrumentation-asyncio` Fix duplicate instrumentation
-  ([#3383](https://github.com/open-telemetry/opentelemetry-python-contrib/issues/3383))
-- `opentelemetry-instrumentation-botocore` Add GenAI instrumentation for additional Bedrock models for InvokeModel API
-  ([#3419](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3419))
-- `opentelemetry-instrumentation` don't print duplicated conflict log error message
-  ([#3432](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3432))
-- `opentelemetry-instrumentation-grpc` Check for None result in gRPC
-  ([#3380](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3381))
-- `opentelemetry-instrumentation-[asynclick/click]` Add missing opentelemetry-instrumentation dep
-  ([#3447](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3447))
-- `opentelemetry-instrumentation-botocore` Capture server attributes for botocore API calls
-  ([#3448](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3448))
-
-## Version 1.32.0/0.53b0 (2025-04-10)
-
-### Added
-
-- `opentelemetry-instrumentation-asyncclick`: new instrumentation to trace asyncclick commands
-  ([#3319](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3319))
-- `opentelemetry-instrumentation-botocore` Add support for GenAI tool events using Amazon Nova models and `InvokeModel*` APIs
-  ([#3385](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3385))
-- `opentelemetry-instrumentation` Make auto instrumentation use the same dependency resolver as manual instrumentation does
-  ([#3202](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3202))
-
-### Fixed
-
-- `opentelemetry-instrumentation` Fix client address is set to server address in new semconv
-  ([#3354](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3354))
-- `opentelemetry-instrumentation-dbapi`, `opentelemetry-instrumentation-django`,
-  `opentelemetry-instrumentation-sqlalchemy`: Fix sqlcomment for non string query and composable object.
-  ([#3113](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3113))
-- `opentelemetry-instrumentation-grpc` Fix error when using gprc versions <= 1.50.0 with unix sockets.
-  ([[#3393](https://github.com/open-telemetry/opentelemetry-python-contrib/issues/3393)])
-- `opentelemetry-instrumentation-asyncio` Fix duplicate instrumentation.
-  ([[#3383](https://github.com/open-telemetry/opentelemetry-python-contrib/issues/3383)])
-- `opentelemetry-instrumentation-aiokafka` Fix send_and_wait method no headers kwargs error.
-  ([[#3332](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3332)])
-
-## Version 1.31.0/0.52b0 (2025-03-12)
-
 ### Added
 
 - `opentelemetry-instrumentation-openai-v2` Update doc for OpenAI Instrumentation to support OpenAI Compatible Platforms
   ([#3279](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3279))
-- `opentelemetry-instrumentation-system-metrics` Add `process` metrics and deprecated `process.runtime` prefixed ones
+- `opentelemetry-instrumentation-system-metrics` Add `process` metrics and deprecated `process.runtime` prefixed ones 
   ([#3250](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3250))
 - `opentelemetry-instrumentation-botocore` Add support for GenAI user events and lazy initialize tracer
   ([#3258](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3258))
@@ -173,21 +34,13 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Loosen `opentelemetry-instrumentation-starlette[instruments]` specifier
   ([#3304](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3304))
 
+
 ### Fixed
 
 - `opentelemetry-instrumentation-redis` Add missing entry in doc string for `def _instrument`
   ([#3247](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3247))
-- `opentelemetry-instrumentation-botocore` sns-extension: Change destination name attribute
-  to match topic ARN and redact phone number from attributes
-  ([#3249](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3249))
 - `opentelemetry-instrumentation-asyncpg` Fix fallback for empty queries.
   ([#3253](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3253))
-- `opentelemetry-instrumentation` Fix a traceback in sqlcommenter when psycopg connection pooling is enabled.
-  ([#3309](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3309))
-- `opentelemetry-instrumentation-threading` Fix broken context typehints
-  ([#3322](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3322))
-- `opentelemetry-instrumentation-requests` always record span status code in duration metric
-  ([#3323](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3323))
 
 ## Version 1.30.0/0.51b0 (2025-02-03)
 
@@ -247,8 +100,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Breaking changes
 
-- `opentelemetry-exporter-prometheus-remote-write` updated protobuf required version from 4.21 to 5.26 and regenerated protobufs
-  ([#3219](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3219))
+- `opentelemetry-exporter-prometheus-remote-write` updated protobuf required version from 4.21 to 5.26 and regenerated protobufs 
+ ([#3219](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3219))
 - `opentelemetry-instrumentation-sqlalchemy` including sqlcomment in `db.statement` span attribute value is now opt-in
   ([#3112](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3112))
 - `opentelemetry-instrumentation-dbapi` including sqlcomment in `db.statement` span attribute value is now opt-in

README.md

@@ -101,7 +101,7 @@ To release a package as `1.0` stable, the package:
 
 ## Semantic Convention status of instrumentations
 
-In our efforts to maintain optimal user experience and prevent breaking changes for transitioning into stable semantic conventions, OpenTelemetry Python is adopting the semantic convention migration plan for several instrumentations. Currently this plan is only being adopted for [HTTP-related instrumentations](https://github.com/open-telemetry/semantic-conventions/blob/main/docs/non-normative/http-migration.md), but will eventually cover all types. Please refer to the `semconv status` column of the [instrumentation README](instrumentation/README.md) of the current status of instrumentations' semantic conventions. The possible values are `development`, `stable` and `migration` referring to [status](https://github.com/open-telemetry/opentelemetry-specification/blob/v1.31.0/specification/document-status.md#lifecycle-status) of that particular semantic convention. `Migration` refers to an instrumentation that currently supports the migration plan.
+In our efforts to maintain optimal user experience and prevent breaking changes for transitioning into stable semantic conventions, OpenTelemetry Python is adopting the semantic convention migration plan for several instrumentations. Currently this plan is only being adopted for [HTTP-related instrumentations](https://github.com/open-telemetry/semantic-conventions/blob/main/docs/non-normative/http-migration.md), but will eventually cover all types. Please refer to the `semconv status` column of the [instrumentation README](instrumentation/README.md) of the current status of instrumentations' semantic conventions. The possible values are `experimental`, `stable` and `migration` referring to [status](https://github.com/open-telemetry/opentelemetry-specification/blob/v1.31.0/specification/document-status.md#lifecycle-status) of that particular semantic convention. `Migration` refers to an instrumentation that currently supports the migration plan.
 
 ## Contributing
 
@@ -111,18 +111,9 @@ We meet weekly on Thursday at 9AM PT. The meeting is subject to change depending
 
 Meeting notes are available as a public [Google doc](https://docs.google.com/document/d/1CIMGoIOZ-c3-igzbd6_Pnxx1SjAkjwqoYSUWxPY8XIs/edit). For edit access, get in touch on [GitHub Discussions](https://github.com/open-telemetry/opentelemetry-python/discussions).
 
-### Maintainers
+Approvers ([@open-telemetry/python-approvers](https://github.com/orgs/open-telemetry/teams/python-approvers)):
 
-- [Aaron Abbott](https://github.com/aabmass), Google
-- [Leighton Chen](https://github.com/lzchen), Microsoft
-- [Riccardo Magliocchetti](https://github.com/xrmx), Elastic
-- [Shalev Roda](https://github.com/shalevr), Cisco
-
-For more information about the maintainer role, see the [community repository](https://github.com/open-telemetry/community/blob/main/guides/contributor/membership.md#maintainer).
-
-### Approvers
-
-- [Emídio Neto](https://github.com/emdneto), PicPay
+- [Emídio Neto](https://github.com/emdneto), Zenvia
 - [Jeremy Voss](https://github.com/jeremydvoss), Microsoft
 - [Owais Lone](https://github.com/owais), Splunk
 - [Pablo Collins](https://github.com/pmcollins), Splunk
@@ -130,29 +121,34 @@ For more information about the maintainer role, see the [community repository](h
 - [Srikanth Chekuri](https://github.com/srikanthccv), signoz.io
 - [Tammy Baylis](https://github.com/tammy-baylis-swi), SolarWinds
 
-For more information about the approver role, see the [community repository](https://github.com/open-telemetry/community/blob/main/guides/contributor/membership.md#approver).
+Emeritus Approvers:
 
-### Emeritus Maintainers
+- [Ashutosh Goel](https://github.com/ashu658), Cisco
+- [Héctor Hernández](https://github.com/hectorhdzg), Microsoft
+- [Nikolay Sokolik](https://github.com/oxeye-nikolay), Oxeye
+- [Nikolay Sokolik](https://github.com/nikosokolik), Oxeye
+- [Nathaniel Ruiz Nowell](https://github.com/NathanielRN), AWS
 
-- [Alex Boten](https://github.com/codeboten)
-- [Diego Hurtado](https://github.com/ocelotl)
-- [Owais Lone](https://github.com/owais)
-- [Yusuke Tsutsumi](https://github.com/toumorokoshi)
+*Find more about the approver role in [community repository](https://github.com/open-telemetry/community/blob/main/community-membership.md#approver).*
 
-For more information about the emeritus role, see the [community repository](https://github.com/open-telemetry/community/blob/main/guides/contributor/membership.md#emeritus-maintainerapprovertriager).
+Maintainers ([@open-telemetry/python-maintainers](https://github.com/orgs/open-telemetry/teams/python-maintainers)):
 
-### Emeritus Approvers
+- [Aaron Abbott](https://github.com/aabmass), Google
+- [Leighton Chen](https://github.com/lzchen), Microsoft
+- [Riccardo Magliocchetti](https://github.com/xrmx), Elastic
+- [Shalev Roda](https://github.com/shalevr), Cisco
 
-- [Ashutosh Goel](https://github.com/ashu658)
-- [Héctor Hernández](https://github.com/hectorhdzg)
-- [Nathaniel Ruiz Nowell](https://github.com/NathanielRN)
-- [Nikolay Sokolik](https://github.com/nikosokolik)
-- [Nikolay Sokolik](https://github.com/oxeye-nikolay)
+Emeritus Maintainers:
 
-For more information about the emeritus role, see the [community repository](https://github.com/open-telemetry/community/blob/main/guides/contributor/membership.md#emeritus-maintainerapprovertriager).
+- [Alex Boten](https://github.com/codeboten), Lightstep
+- [Diego Hurtado](https://github.com/ocelotl), Lightstep
+- [Owais Lone](https://github.com/owais), Splunk
+- [Yusuke Tsutsumi](https://github.com/toumorokoshi), Google
 
-### Thanks to all of our contributors!
+*Find more about the maintainer role in [community repository](https://github.com/open-telemetry/community/blob/main/community-membership.md#maintainer).*
+
+### Thanks to all the people who already contributed
 
 <a href="https://github.com/open-telemetry/opentelemetry-python-contrib/graphs/contributors">
-  <img alt="Repo contributors" src="https://contrib.rocks/image?repo=open-telemetry/opentelemetry-python-contrib" />
+  <img src="https://contributors-img.web.app/image?repo=open-telemetry/opentelemetry-python-contrib" />
 </a>

RELEASING.md

@@ -9,8 +9,7 @@
       (otherwise the workflow will pick up the version from `main` and just remove the `.dev` suffix).
   * Review the two pull requests that it creates.
     (one is targeted to the release branch and one is targeted to `main`).
-    * The builds will fail for the release PR because of validation rules. Follow the [release workflow](https://github.com/open-telemetry/opentelemetry-python/blob/main/RELEASING.md) for the core repo up until this same point.
-    * Close and reopen the PR so that the workflow will take into account the label automation we have in place
+    * The builds will fail for both the `main` and release pr because of validation rules. Follow the [release workflow](https://github.com/open-telemetry/opentelemetry-python/blob/main/RELEASING.md) for the core repo up until this same point. Change the SHAs of each PR to point at each other to get the `main` and release builds to pass.
   * Merge the release PR.
   * Merge the PR to main (this can be done separately from [making the release](#making-the-release))
 
@@ -41,8 +40,6 @@ The workflow will create two pull requests, one against the `main` and one again
   * Press the "Run workflow" button, then select the release branch from the dropdown list,
     e.g. `release/v1.9.x`, then enter the pull request number that you want to backport,
     then click the "Run workflow" button below that.
-  * Add the label `backport` to the generated pull request.
-  * In case label automation doesn't work, just close and reopen the PR so that the workflow will take into account the label automation we have in place.
   * Review and merge the backport pull request that it generates.
 * Merge a pull request to the release branch updating the `CHANGELOG.md`.
   * The heading for the unreleased entries should be `## Unreleased`.
@@ -50,7 +47,6 @@ The workflow will create two pull requests, one against the `main` and one again
   * Press the "Run workflow" button, then select the release branch from the dropdown list,
     e.g. `release/v1.9.x`, and click the "Run workflow" button below that.
   * Review and merge the pull request that it creates for updating the version.
-* Note: If you are doing a patch release in `-contrib` repo, you should also do an equivalent patch release in `-core` repo (even if there's no fix to release), otherwise tests in CI will fail.
 
 ### Preparing a patch release for individual package
 

_template/pyproject.toml

@@ -12,7 +12,7 @@ dynamic = ["version"]
 description = "<REPLACE ME>"
 readme = "README.rst"
 license = "Apache-2.0"
-requires-python = ">=3.9"
+requires-python = ">=3.8"
 authors = [
   { name = "OpenTelemetry Authors", email = "cncf-opentelemetry-contributors@lists.cncf.io" },
 ]
@@ -22,6 +22,7 @@ classifiers = [
   "License :: OSI Approved :: Apache Software License",
   "Programming Language :: Python",
   "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3.8",
   "Programming Language :: Python :: 3.9",
   "Programming Language :: Python :: 3.10",
   "Programming Language :: Python :: 3.11",

_template/version.py

@@ -12,4 +12,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__ = "0.57b0.dev"
+__version__ = "0.52b0.dev"

dev-requirements.txt

@@ -1,6 +1,6 @@
 pylint==3.0.2
 httpretty==1.1.4
-pyright==v1.1.396
+pyright==v1.1.390
 sphinx==7.1.2
 sphinx-rtd-theme==2.0.0rc4
 sphinx-autodoc-typehints==1.25.2

docs-requirements.txt

@@ -15,7 +15,6 @@ aiohttp~=3.0
 aiokafka~=0.11.0
 aiopg>=0.13.0,<1.3.0
 asyncpg>=0.12.0
-asyncclick~=8.0
 boto~=2.0
 botocore~=1.0
 boto3~=1.0

docs/conf.py

@@ -122,7 +122,6 @@ intersphinx_mapping = {
         "https://opentelemetry-python.readthedocs.io/en/latest/",
         None,
     ),
-    "redis": ("https://redis.readthedocs.io/en/latest/", None),
 }
 
 # http://www.sphinx-doc.org/en/master/config.html#confval-nitpicky

docs/index.rst

@@ -52,7 +52,7 @@ install <https://pip.pypa.io/en/stable/reference/pip_install/#editable-installs>
     pip install -e ./instrumentation/opentelemetry-instrumentation-botocore
     pip install -e ./instrumentation-genai/opentelemetry-instrumentation-openai-v2
     pip install -e ./sdk-extension/opentelemetry-sdk-extension-aws
-    pip install -e ./resource/opentelemetry-resource-detector-containerid
+    pip install -e ./resource/opentelemetry-resource-detector-container
 
 
 .. toctree::

docs/instrumentation/asyncclick/asyncclick.rst

@@ -1,7 +0,0 @@
-.. include:: ../../../instrumentation/opentelemetry-instrumentation-asyncclick/README.rst
-    :end-before: References
-
-.. automodule:: opentelemetry.instrumentation.asyncclick
-    :members:
-    :undoc-members:
-    :show-inheritance:

docs/instrumentation/redis/redis.rst

@@ -1,10 +1,7 @@
-.. include:: ../../../instrumentation/opentelemetry-instrumentation-redis/README.rst
-    :end-before: References
-
-Usage
------
+OpenTelemetry Redis Instrumentation
+===================================
 
 .. automodule:: opentelemetry.instrumentation.redis
     :members:
     :undoc-members:
-    :show-inheritance:
+    :show-inheritance:

docs/nitpick-exceptions.ini

@@ -44,7 +44,6 @@ py-class=
     psycopg.Connection
     psycopg.AsyncConnection
     ObjectProxy
-    fastapi.applications.FastAPI
 
 any=
     ; API

docs/resource/container/container.rst

@@ -1,7 +1,7 @@
 OpenTelemetry Python - Resource Detector for Containers
 =======================================================
 
-.. automodule:: opentelemetry.resource.detector.containerid
+.. automodule:: opentelemetry.resource.detector.container
     :members:
     :undoc-members:
     :show-inheritance:

eachdist.ini

@@ -16,7 +16,7 @@ sortfirst=
     ext/*
 
 [stable]
-version=1.36.0.dev
+version=1.31.0.dev
 
 packages=
     opentelemetry-sdk
@@ -34,7 +34,7 @@ packages=
     opentelemetry-api
 
 [prerelease]
-version=0.57b0.dev
+version=0.52b0.dev
 
 packages=
     all
@@ -43,7 +43,7 @@ packages=
     opentelemetry-instrumentation
     opentelemetry-contrib-instrumentations
     opentelemetry-distro
-    opentelemetry-resource-detector-containerid
+    opentelemetry-resource-detector-container
 
 [exclude_release]
 packages=

exporter/opentelemetry-exporter-prometheus-remote-write/example/Dockerfile

@@ -1,4 +1,4 @@
-FROM python:3.9
+FROM python:3.8
 
 RUN apt-get update -y && apt-get install libsnappy-dev -y
 

exporter/opentelemetry-exporter-prometheus-remote-write/pyproject.toml

@@ -9,7 +9,7 @@ dynamic = ["version"]
 description = "Prometheus Remote Write Metrics Exporter for OpenTelemetry"
 readme = "README.rst"
 license = "Apache-2.0"
-requires-python = ">=3.9"
+requires-python = ">=3.8"
 authors = [
   { name = "OpenTelemetry Authors", email = "cncf-opentelemetry-contributors@lists.cncf.io" },
 ]
@@ -19,6 +19,7 @@ classifiers = [
   "License :: OSI Approved :: Apache Software License",
   "Programming Language :: Python",
   "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3.8",
   "Programming Language :: Python :: 3.9",
   "Programming Language :: Python :: 3.10",
   "Programming Language :: Python :: 3.11",

exporter/opentelemetry-exporter-prometheus-remote-write/src/opentelemetry/exporter/prometheus_remote_write/version.py

@@ -12,4 +12,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__ = "0.57b0.dev"
+__version__ = "0.52b0.dev"

exporter/opentelemetry-exporter-prometheus-remote-write/test-requirements.txt

@@ -1,7 +1,9 @@
 asgiref==3.8.1
 certifi==2024.7.4
 charset-normalizer==3.3.2
-cramjam==2.8.4
+# We can drop this after bumping baseline to pypy-39
+cramjam==2.1.0; platform_python_implementation == "PyPy"
+cramjam==2.8.4; platform_python_implementation != "PyPy"
 Deprecated==1.2.14
 idna==3.7
 iniconfig==2.0.0

exporter/opentelemetry-exporter-richconsole/pyproject.toml

@@ -8,7 +8,7 @@ dynamic = ["version"]
 description = "Rich Console Exporter for OpenTelemetry"
 readme = "README.rst"
 license = "Apache-2.0"
-requires-python = ">=3.9"
+requires-python = ">=3.8"
 authors = [
   { name = "OpenTelemetry Authors", email = "cncf-opentelemetry-contributors@lists.cncf.io" },
 ]
@@ -18,6 +18,7 @@ classifiers = [
   "License :: OSI Approved :: Apache Software License",
   "Programming Language :: Python",
   "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3.8",
   "Programming Language :: Python :: 3.9",
   "Programming Language :: Python :: 3.10",
   "Programming Language :: Python :: 3.11",
@@ -27,7 +28,7 @@ classifiers = [
 dependencies = [
   "opentelemetry-api ~= 1.12",
   "opentelemetry-sdk ~= 1.12",
-  "opentelemetry-semantic-conventions == 0.57b0.dev",
+  "opentelemetry-semantic-conventions == 0.52b0.dev",
   "rich>=10.0.0",
 ]
 

exporter/opentelemetry-exporter-richconsole/src/opentelemetry/exporter/richconsole/__init__.py

@@ -64,15 +64,11 @@ from rich.tree import Tree
 import opentelemetry.trace
 from opentelemetry.sdk.trace import ReadableSpan
 from opentelemetry.sdk.trace.export import SpanExporter, SpanExportResult
-from opentelemetry.semconv._incubating.attributes.db_attributes import (
-    DB_STATEMENT,
-)
+from opentelemetry.semconv.trace import SpanAttributes
 
 
 def _ns_to_time(nanoseconds):
-    ts = datetime.datetime.fromtimestamp(
-        nanoseconds / 1e9, datetime.timezone.utc
-    )
+    ts = datetime.datetime.utcfromtimestamp(nanoseconds / 1e9)
     return ts.strftime("%H:%M:%S.%f")
 
 
@@ -122,7 +118,7 @@ def _child_add_optional_attributes(child: Tree, span: ReadableSpan):
             label=Text.from_markup("[bold cyan]Attributes :[/bold cyan] ")
         )
         for attribute in span.attributes:
-            if attribute == DB_STATEMENT:
+            if attribute == SpanAttributes.DB_STATEMENT:
                 attributes.add(
                     Text.from_markup(f"[bold cyan]{attribute} :[/bold cyan] ")
                 )

exporter/opentelemetry-exporter-richconsole/src/opentelemetry/exporter/richconsole/version.py

@@ -12,4 +12,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__ = "0.57b0.dev"
+__version__ = "0.52b0.dev"

gen-requirements.txt

@@ -1,6 +1,6 @@
 -c dev-requirements.txt
 astor==0.8.1
-jinja2==3.1.6
+jinja2==3.1.4
 markupsafe==2.0.1
 ruff==0.6.9
 requests

instrumentation-genai/README.md

@@ -1,6 +0,0 @@
-
-| Instrumentation | Supported Packages | Metrics support | Semconv status |
-| --------------- | ------------------ | --------------- | -------------- |
-| [opentelemetry-instrumentation-google-genai](./opentelemetry-instrumentation-google-genai) | google-genai >= 1.0.0 | No | development
-| [opentelemetry-instrumentation-openai-v2](./opentelemetry-instrumentation-openai-v2) | openai >= 1.26.0 | Yes | development
-| [opentelemetry-instrumentation-vertexai](./opentelemetry-instrumentation-vertexai) | google-cloud-aiplatform >= 1.64 | No | development

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

@@ -5,20 +5,6 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
-## Unreleased
-
-## Version 0.3b0 (2025-07-08)
-
-- Add automatic instrumentation to tool call functions ([#3446](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3446))
-
-## Version 0.2b0 (2025-04-28)
-
-- Add more request configuration options to the span attributes ([#3374](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3374))
-- Restructure tests to keep in line with repository conventions ([#3344](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3344))
-
-- Fix [bug](https://github.com/open-telemetry/opentelemetry-python-contrib/issues/3416) where
-span attribute `gen_ai.response.finish_reasons` is empty ([#3417](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3417))
-
 ## Version 0.1b0 (2025-03-05)
 
 - Add support for async and streaming.

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

@@ -4,6 +4,7 @@
 
 Here are some TODO items required to achieve stability for this package:
 
+ - Add more span-level attributes for request configuration
  - Add more span-level attributes for response information
  - Verify and correct formatting of events:
    - Including the 'role' field for message events
@@ -12,6 +13,7 @@ Here are some TODO items required to achieve stability for this package:
  - Additional cleanup/improvement tasks such as:
    - Adoption of 'wrapt' instead of 'functools.wraps'
    - Bolstering test coverage
+ - Migrate tests to use VCR.py
 
 ## Future
 

instrumentation-genai/opentelemetry-instrumentation-google-genai/pyproject.toml

@@ -22,7 +22,7 @@ dynamic = ["version"]
 description = "OpenTelemetry"
 readme = "README.rst"
 license = "Apache-2.0"
-requires-python = ">=3.9"
+requires-python = ">=3.8"
 authors = [
   { name = "OpenTelemetry Authors", email = "cncf-opentelemetry-contributors@lists.cncf.io" },
 ]
@@ -37,9 +37,9 @@ classifiers = [
   "Programming Language :: Python :: 3.12"
 ]
 dependencies = [
-  "opentelemetry-api >=1.31.1, <2",
-  "opentelemetry-instrumentation >=0.52b1, <2",
-  "opentelemetry-semantic-conventions >=0.52b1, <2"
+  "opentelemetry-api >=1.30.0, <2",
+  "opentelemetry-instrumentation >=0.51b0, <2",
+  "opentelemetry-semantic-conventions >=0.51b0, <2"
 ]
 
 [project.optional-dependencies]

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

@@ -1,97 +0,0 @@
-# Copyright The OpenTelemetry Authors
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import os
-import re
-from typing import Iterable, Optional, Set
-
-ALLOWED = True
-DENIED = False
-
-
-def _parse_env_list(s: str) -> Set[str]:
-    result = set()
-    for entry in s.split(","):
-        stripped_entry = entry.strip()
-        if not stripped_entry:
-            continue
-        result.add(stripped_entry)
-    return result
-
-
-class _CompoundMatcher:
-    def __init__(self, entries: Set[str]):
-        self._match_all = "*" in entries
-        self._entries = entries
-        self._regex_matcher = None
-        regex_entries = []
-        for entry in entries:
-            if "*" not in entry:
-                continue
-            if entry == "*":
-                continue
-            entry = entry.replace("[", "\\[")
-            entry = entry.replace("]", "\\]")
-            entry = entry.replace(".", "\\.")
-            entry = entry.replace("*", ".*")
-            regex_entries.append(f"({entry})")
-        if regex_entries:
-            joined_regex = "|".join(regex_entries)
-            regex_str = f"^({joined_regex})$"
-            self._regex_matcher = re.compile(regex_str)
-
-    @property
-    def match_all(self):
-        return self._match_all
-
-    def matches(self, x):
-        if self._match_all:
-            return True
-        if x in self._entries:
-            return True
-        if (self._regex_matcher is not None) and (
-            self._regex_matcher.fullmatch(x)
-        ):
-            return True
-        return False
-
-
-class AllowList:
-    def __init__(
-        self,
-        includes: Optional[Iterable[str]] = None,
-        excludes: Optional[Iterable[str]] = None,
-    ):
-        self._includes = _CompoundMatcher(set(includes or []))
-        self._excludes = _CompoundMatcher(set(excludes or []))
-        assert (not self._includes.match_all) or (
-            not self._excludes.match_all
-        ), "Can't have '*' in both includes and excludes."
-
-    def allowed(self, x: str):
-        if self._excludes.match_all:
-            return self._includes.matches(x)
-        if self._includes.match_all:
-            return not self._excludes.matches(x)
-        return self._includes.matches(x) and not self._excludes.matches(x)
-
-    @staticmethod
-    def from_env(
-        includes_env_var: str, excludes_env_var: Optional[str] = None
-    ):
-        includes = _parse_env_list(os.getenv(includes_env_var) or "")
-        excludes = set()
-        if excludes_env_var:
-            excludes = _parse_env_list(os.getenv(excludes_env_var) or "")
-        return AllowList(includes=includes, excludes=excludes)

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

@@ -1,18 +0,0 @@
-# Copyright The OpenTelemetry Authors
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-
-# Semantic Convention still being defined in:
-# https://github.com/open-telemetry/semantic-conventions/pull/2125
-GCP_GENAI_OPERATION_CONFIG = "gcp.gen_ai.operation.config"

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

@@ -1,301 +0,0 @@
-# Copyright The OpenTelemetry Authors
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import json
-import logging
-from typing import (
-    Any,
-    Dict,
-    Optional,
-    Protocol,
-    Sequence,
-    Set,
-    Tuple,
-    Union,
-)
-
-Primitive = Union[bool, str, int, float]
-BoolList = list[bool]
-StringList = list[str]
-IntList = list[int]
-FloatList = list[float]
-HomogenousPrimitiveList = Union[BoolList, StringList, IntList, FloatList]
-FlattenedValue = Union[Primitive, HomogenousPrimitiveList]
-FlattenedDict = Dict[str, FlattenedValue]
-
-
-class FlattenFunc(Protocol):
-    def __call__(
-        self,
-        key: str,
-        value: Any,
-        exclude_keys: Set[str],
-        rename_keys: Dict[str, str],
-        flatten_functions: Dict[str, "FlattenFunc"],
-        **kwargs: Any,
-    ) -> Any:
-        return None
-
-
-_logger = logging.getLogger(__name__)
-
-
-def _concat_key(prefix: Optional[str], suffix: str):
-    if not prefix:
-        return suffix
-    return f"{prefix}.{suffix}"
-
-
-def _is_primitive(v):
-    for t in [str, bool, int, float]:
-        if isinstance(v, t):
-            return True
-    return False
-
-
-def _is_homogenous_primitive_list(v):
-    if not isinstance(v, list):
-        return False
-    if len(v) == 0:
-        return True
-    if not _is_primitive(v[0]):
-        return False
-    first_entry_value_type = type(v[0])
-    for entry in v[1:]:
-        if not isinstance(entry, first_entry_value_type):
-            return False
-    return True
-
-
-def _get_flatten_func(
-    flatten_functions: Dict[str, FlattenFunc], key_names: set[str]
-) -> Optional[FlattenFunc]:
-    for key in key_names:
-        flatten_func = flatten_functions.get(key)
-        if flatten_func is not None:
-            return flatten_func
-    return None
-
-
-def _flatten_with_flatten_func(
-    key: str,
-    value: Any,
-    exclude_keys: Set[str],
-    rename_keys: Dict[str, str],
-    flatten_functions: Dict[str, FlattenFunc],
-    key_names: Set[str],
-) -> Tuple[bool, Any]:
-    flatten_func = _get_flatten_func(flatten_functions, key_names)
-    if flatten_func is None:
-        return False, value
-    func_output = flatten_func(
-        key,
-        value,
-        exclude_keys=exclude_keys,
-        rename_keys=rename_keys,
-        flatten_functions=flatten_functions,
-    )
-    if func_output is None:
-        return True, {}
-    if _is_primitive(func_output) or _is_homogenous_primitive_list(
-        func_output
-    ):
-        return True, {key: func_output}
-    return False, func_output
-
-
-def _flatten_compound_value_using_json(
-    key: str,
-    value: Any,
-    exclude_keys: Set[str],
-    rename_keys: Dict[str, str],
-    flatten_functions: Dict[str, FlattenFunc],
-    _from_json=False,
-) -> FlattenedDict:
-    if _from_json:
-        _logger.debug(
-            "Cannot flatten value with key %s; value: %s", key, value
-        )
-        return {}
-    try:
-        json_string = json.dumps(value)
-    except TypeError:
-        _logger.debug(
-            "Cannot flatten value with key %s; value: %s. Not JSON serializable.",
-            key,
-            value,
-        )
-        return {}
-    json_value = json.loads(json_string)
-    return _flatten_value(
-        key,
-        json_value,
-        exclude_keys=exclude_keys,
-        rename_keys=rename_keys,
-        flatten_functions=flatten_functions,
-        # Ensure that we don't recurse indefinitely if "json.loads()" somehow returns
-        # a complex, compound object that does not get handled by the "primitive", "list",
-        # or "dict" cases. Prevents falling back on the JSON serialization fallback path.
-        _from_json=True,
-    )
-
-
-def _flatten_compound_value(
-    key: str,
-    value: Any,
-    exclude_keys: Set[str],
-    rename_keys: Dict[str, str],
-    flatten_functions: Dict[str, FlattenFunc],
-    key_names: Set[str],
-    _from_json=False,
-) -> FlattenedDict:
-    fully_flattened_with_flatten_func, value = _flatten_with_flatten_func(
-        key=key,
-        value=value,
-        exclude_keys=exclude_keys,
-        rename_keys=rename_keys,
-        flatten_functions=flatten_functions,
-        key_names=key_names,
-    )
-    if fully_flattened_with_flatten_func:
-        return value
-    if isinstance(value, dict):
-        return _flatten_dict(
-            value,
-            key_prefix=key,
-            exclude_keys=exclude_keys,
-            rename_keys=rename_keys,
-            flatten_functions=flatten_functions,
-        )
-    if isinstance(value, list):
-        if _is_homogenous_primitive_list(value):
-            return {key: value}
-        return _flatten_list(
-            value,
-            key_prefix=key,
-            exclude_keys=exclude_keys,
-            rename_keys=rename_keys,
-            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,
-        )
-    return _flatten_compound_value_using_json(
-        key,
-        value,
-        exclude_keys=exclude_keys,
-        rename_keys=rename_keys,
-        flatten_functions=flatten_functions,
-        _from_json=_from_json,
-    )
-
-
-def _flatten_value(
-    key: str,
-    value: Any,
-    exclude_keys: Set[str],
-    rename_keys: Dict[str, str],
-    flatten_functions: Dict[str, FlattenFunc],
-    _from_json=False,
-) -> FlattenedDict:
-    if value is None:
-        return {}
-    key_names = set([key])
-    renamed_key = rename_keys.get(key)
-    if renamed_key is not None:
-        key_names.add(renamed_key)
-        key = renamed_key
-    if key_names & exclude_keys:
-        return {}
-    if _is_primitive(value):
-        return {key: value}
-    return _flatten_compound_value(
-        key=key,
-        value=value,
-        exclude_keys=exclude_keys,
-        rename_keys=rename_keys,
-        flatten_functions=flatten_functions,
-        key_names=key_names,
-        _from_json=_from_json,
-    )
-
-
-def _flatten_dict(
-    d: Dict[str, Any],
-    key_prefix: str,
-    exclude_keys: Set[str],
-    rename_keys: Dict[str, str],
-    flatten_functions: Dict[str, FlattenFunc],
-) -> FlattenedDict:
-    result = {}
-    for key, value in d.items():
-        if key in exclude_keys:
-            continue
-        full_key = _concat_key(key_prefix, key)
-        flattened = _flatten_value(
-            full_key,
-            value,
-            exclude_keys=exclude_keys,
-            rename_keys=rename_keys,
-            flatten_functions=flatten_functions,
-        )
-        result.update(flattened)
-    return result
-
-
-def _flatten_list(
-    lst: list[Any],
-    key_prefix: str,
-    exclude_keys: Set[str],
-    rename_keys: Dict[str, str],
-    flatten_functions: Dict[str, FlattenFunc],
-) -> FlattenedDict:
-    result = {}
-    result[_concat_key(key_prefix, "length")] = len(lst)
-    for index, value in enumerate(lst):
-        full_key = f"{key_prefix}[{index}]"
-        flattened = _flatten_value(
-            full_key,
-            value,
-            exclude_keys=exclude_keys,
-            rename_keys=rename_keys,
-            flatten_functions=flatten_functions,
-        )
-        result.update(flattened)
-    return result
-
-
-def flatten_dict(
-    d: Dict[str, Any],
-    key_prefix: Optional[str] = None,
-    exclude_keys: Optional[Sequence[str]] = None,
-    rename_keys: Optional[Dict[str, str]] = None,
-    flatten_functions: Optional[Dict[str, FlattenFunc]] = None,
-):
-    key_prefix = key_prefix or ""
-    exclude_keys = set(exclude_keys or [])
-    rename_keys = rename_keys or {}
-    flatten_functions = flatten_functions or {}
-    return _flatten_dict(
-        d,
-        key_prefix=key_prefix,
-        exclude_keys=exclude_keys,
-        rename_keys=rename_keys,
-        flatten_functions=flatten_functions,
-    )

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

@@ -12,7 +12,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import copy
 import functools
 import json
 import logging
@@ -29,7 +28,6 @@ from google.genai.types import (
     ContentListUnionDict,
     ContentUnion,
     ContentUnionDict,
-    GenerateContentConfig,
     GenerateContentConfigOrDict,
     GenerateContentResponse,
 )
@@ -41,12 +39,8 @@ from opentelemetry.semconv._incubating.attributes import (
 )
 from opentelemetry.semconv.attributes import error_attributes
 
-from .allowlist_util import AllowList
-from .custom_semconv import GCP_GENAI_OPERATION_CONFIG
-from .dict_util import flatten_dict
 from .flags import is_content_recording_enabled
 from .otel_wrapper import OTelWrapper
-from .tool_call_wrapper import wrapped as wrapped_tool
 
 _logger = logging.getLogger(__name__)
 
@@ -135,65 +129,21 @@ def _determine_genai_system(models_object: Union[Models, AsyncModels]):
     return _get_gemini_system_name()
 
 
-def _to_dict(value: object):
-    if isinstance(value, dict):
-        return value
-    if hasattr(value, "model_dump"):
-        return value.model_dump()
-    return json.loads(json.dumps(value))
-
-
-def _add_request_options_to_span(
-    span, config: Optional[GenerateContentConfigOrDict], allow_list: AllowList
-):
+def _get_config_property(
+    config: Optional[GenerateContentConfigOrDict], path: str
+) -> Any:
     if config is None:
-        return
-    span_context = span.get_span_context()
-    if not span_context.trace_flags.sampled:
-        # Avoid potentially costly traversal of config
-        # options if the span will be dropped, anyway.
-        return
-    # Automatically derive attributes from the contents of the
-    # config object. This ensures that all relevant parameters
-    # are captured in the telemetry data (except for those
-    # that are excluded via "exclude_keys"). Dynamic attributes (those
-    # starting with "gcp.gen_ai." instead of simply "gen_ai.request.")
-    # are filtered with the "allow_list" before inclusion in the span.
-    attributes = flatten_dict(
-        _to_dict(config),
-        # A custom prefix is used, because the names/structure of the
-        # configuration is likely to be specific to Google Gen AI SDK.
-        key_prefix=GCP_GENAI_OPERATION_CONFIG,
-        exclude_keys=[
-            # System instruction can be overly long for a span attribute.
-            # Additionally, it is recorded as an event (log), instead.
-            "gcp.gen_ai.operation.config.system_instruction",
-        ],
-        # Although a custom prefix is used by default, some of the attributes
-        # are captured in common, standard, Semantic Conventions. For the
-        # well-known properties whose values align with Semantic Conventions,
-        # we ensure that the key name matches the standard SemConv name.
-        rename_keys={
-            # TODO: add more entries here as more semantic conventions are
-            # generalized to cover more of the available config options.
-            "gcp.gen_ai.operation.config.temperature": gen_ai_attributes.GEN_AI_REQUEST_TEMPERATURE,
-            "gcp.gen_ai.operation.config.top_k": gen_ai_attributes.GEN_AI_REQUEST_TOP_K,
-            "gcp.gen_ai.operation.config.top_p": gen_ai_attributes.GEN_AI_REQUEST_TOP_P,
-            "gcp.gen_ai.operation.config.candidate_count": gen_ai_attributes.GEN_AI_REQUEST_CHOICE_COUNT,
-            "gcp.gen_ai.operation.config.max_output_tokens": gen_ai_attributes.GEN_AI_REQUEST_MAX_TOKENS,
-            "gcp.gen_ai.operation.config.stop_sequences": gen_ai_attributes.GEN_AI_REQUEST_STOP_SEQUENCES,
-            "gcp.gen_ai.operation.config.frequency_penalty": gen_ai_attributes.GEN_AI_REQUEST_FREQUENCY_PENALTY,
-            "gcp.gen_ai.operation.config.presence_penalty": gen_ai_attributes.GEN_AI_REQUEST_PRESENCE_PENALTY,
-            "gcp.gen_ai.operation.config.seed": gen_ai_attributes.GEN_AI_REQUEST_SEED,
-        },
-    )
-    for key, value in attributes.items():
-        if key.startswith(
-            GCP_GENAI_OPERATION_CONFIG
-        ) and not allow_list.allowed(key):
-            # The allowlist is used to control inclusion of the dynamic keys.
-            continue
-        span.set_attribute(key, value)
+        return None
+    path_segments = path.split(".")
+    current_context: Any = config
+    for path_segment in path_segments:
+        if current_context is None:
+            return None
+        if isinstance(current_context, dict):
+            current_context = current_context.get(path_segment)
+        else:
+            current_context = getattr(current_context, path_segment)
+    return current_context
 
 
 def _get_response_property(response: GenerateContentResponse, path: str):
@@ -209,27 +159,42 @@ def _get_response_property(response: GenerateContentResponse, path: str):
     return current_context
 
 
-def _coerce_config_to_object(
-    config: GenerateContentConfigOrDict,
-) -> GenerateContentConfig:
-    if isinstance(config, GenerateContentConfig):
-        return config
-    # Input must be a dictionary; convert by invoking the constructor.
-    return GenerateContentConfig(**config)
+def _get_temperature(config: Optional[GenerateContentConfigOrDict]):
+    return _get_config_property(config, "temperature")
 
 
-def _wrapped_config_with_tools(
-    otel_wrapper: OTelWrapper,
-    config: GenerateContentConfig,
-    **kwargs,
-):
-    if not config.tools:
-        return config
-    result = copy.copy(config)
-    result.tools = [
-        wrapped_tool(tool, otel_wrapper, **kwargs) for tool in config.tools
-    ]
-    return result
+def _get_top_k(config: Optional[GenerateContentConfigOrDict]):
+    return _get_config_property(config, "top_k")
+
+
+def _get_top_p(config: Optional[GenerateContentConfigOrDict]):
+    return _get_config_property(config, "top_p")
+
+
+# A map from define attributes to the function that can obtain
+# the relevant information from the request object.
+#
+# TODO: expand this to cover a larger set of the available
+# span attributes from GenAI semantic conventions.
+#
+# TODO: define semantic conventions for attributes that
+# are relevant for the Google GenAI SDK which are not
+# currently covered by the existing semantic conventions.
+#
+# See also: TODOS.md
+_SPAN_ATTRIBUTE_TO_CONFIG_EXTRACTOR = {
+    gen_ai_attributes.GEN_AI_REQUEST_TEMPERATURE: _get_temperature,
+    gen_ai_attributes.GEN_AI_REQUEST_TOP_K: _get_top_k,
+    gen_ai_attributes.GEN_AI_REQUEST_TOP_P: _get_top_p,
+}
+
+
+def _to_dict(value: object):
+    if isinstance(value, dict):
+        return value
+    if hasattr(value, "model_dump"):
+        return value.model_dump()
+    return json.loads(json.dumps(value))
 
 
 class _GenerateContentInstrumentationHelper:
@@ -238,7 +203,6 @@ class _GenerateContentInstrumentationHelper:
         models_object: Union[Models, AsyncModels],
         otel_wrapper: OTelWrapper,
         model: str,
-        generate_content_config_key_allowlist: Optional[AllowList] = None,
     ):
         self._start_time = time.time_ns()
         self._otel_wrapper = otel_wrapper
@@ -251,20 +215,6 @@ class _GenerateContentInstrumentationHelper:
         self._content_recording_enabled = is_content_recording_enabled()
         self._response_index = 0
         self._candidate_index = 0
-        self._generate_content_config_key_allowlist = (
-            generate_content_config_key_allowlist or AllowList()
-        )
-
-    def wrapped_config(
-        self, config: Optional[GenerateContentConfigOrDict]
-    ) -> Optional[GenerateContentConfig]:
-        if config is None:
-            return None
-        return _wrapped_config_with_tools(
-            self._otel_wrapper,
-            _coerce_config_to_object(config),
-            extra_span_attributes={"gen_ai.system": self._genai_system},
-        )
 
     def start_span_as_current_span(
         self, model_name, function_name, end_on_exit=True
@@ -287,9 +237,13 @@ class _GenerateContentInstrumentationHelper:
         config: Optional[GenerateContentConfigOrDict],
     ):
         span = trace.get_current_span()
-        _add_request_options_to_span(
-            span, config, self._generate_content_config_key_allowlist
-        )
+        for (
+            attribute_key,
+            extractor,
+        ) in _SPAN_ATTRIBUTE_TO_CONFIG_EXTRACTOR.items():
+            attribute_value = extractor(config)
+            if attribute_value is not None:
+                span.set_attribute(attribute_key, attribute_value)
         self._maybe_log_system_instruction(config=config)
         self._maybe_log_user_prompt(contents)
 
@@ -298,7 +252,6 @@ class _GenerateContentInstrumentationHelper:
         # need to be reflected back into the span attributes.
         #
         # See also: TODOS.md.
-        self._update_finish_reasons(response)
         self._maybe_update_token_counts(response)
         self._maybe_update_error_type(response)
         self._maybe_log_response(response)
@@ -322,18 +275,6 @@ class _GenerateContentInstrumentationHelper:
         self._record_token_usage_metric()
         self._record_duration_metric()
 
-    def _update_finish_reasons(self, response):
-        if not response.candidates:
-            return
-        for candidate in response.candidates:
-            finish_reason = candidate.finish_reason
-            if finish_reason is None:
-                continue
-            finish_reason_str = finish_reason.name.lower().removeprefix(
-                "finish_reason_"
-            )
-            self._finish_reasons_set.add(finish_reason_str)
-
     def _maybe_update_token_counts(self, response: GenerateContentResponse):
         input_tokens = _get_response_property(
             response, "usage_metadata.prompt_token_count"
@@ -376,12 +317,7 @@ class _GenerateContentInstrumentationHelper:
     def _maybe_log_system_instruction(
         self, config: Optional[GenerateContentConfigOrDict] = None
     ):
-        system_instruction = None
-        if config is not None:
-            if isinstance(config, dict):
-                system_instruction = config.get("system_instruction")
-            else:
-                system_instruction = config.system_instruction
+        system_instruction = _get_config_property(config, "system_instruction")
         if not system_instruction:
             return
         attributes = {
@@ -563,9 +499,7 @@ class _GenerateContentInstrumentationHelper:
 
 
 def _create_instrumented_generate_content(
-    snapshot: _MethodsSnapshot,
-    otel_wrapper: OTelWrapper,
-    generate_content_config_key_allowlist: Optional[AllowList] = None,
+    snapshot: _MethodsSnapshot, otel_wrapper: OTelWrapper
 ):
     wrapped_func = snapshot.generate_content
 
@@ -579,10 +513,7 @@ def _create_instrumented_generate_content(
         **kwargs: Any,
     ) -> GenerateContentResponse:
         helper = _GenerateContentInstrumentationHelper(
-            self,
-            otel_wrapper,
-            model,
-            generate_content_config_key_allowlist=generate_content_config_key_allowlist,
+            self, otel_wrapper, model
         )
         with helper.start_span_as_current_span(
             model, "google.genai.Models.generate_content"
@@ -593,7 +524,7 @@ def _create_instrumented_generate_content(
                     self,
                     model=model,
                     contents=contents,
-                    config=helper.wrapped_config(config),
+                    config=config,
                     **kwargs,
                 )
                 helper.process_response(response)
@@ -608,9 +539,7 @@ def _create_instrumented_generate_content(
 
 
 def _create_instrumented_generate_content_stream(
-    snapshot: _MethodsSnapshot,
-    otel_wrapper: OTelWrapper,
-    generate_content_config_key_allowlist: Optional[AllowList] = None,
+    snapshot: _MethodsSnapshot, otel_wrapper: OTelWrapper
 ):
     wrapped_func = snapshot.generate_content_stream
 
@@ -624,10 +553,7 @@ def _create_instrumented_generate_content_stream(
         **kwargs: Any,
     ) -> Iterator[GenerateContentResponse]:
         helper = _GenerateContentInstrumentationHelper(
-            self,
-            otel_wrapper,
-            model,
-            generate_content_config_key_allowlist=generate_content_config_key_allowlist,
+            self, otel_wrapper, model
         )
         with helper.start_span_as_current_span(
             model, "google.genai.Models.generate_content_stream"
@@ -638,7 +564,7 @@ def _create_instrumented_generate_content_stream(
                     self,
                     model=model,
                     contents=contents,
-                    config=helper.wrapped_config(config),
+                    config=config,
                     **kwargs,
                 ):
                     helper.process_response(response)
@@ -653,9 +579,7 @@ def _create_instrumented_generate_content_stream(
 
 
 def _create_instrumented_async_generate_content(
-    snapshot: _MethodsSnapshot,
-    otel_wrapper: OTelWrapper,
-    generate_content_config_key_allowlist: Optional[AllowList] = None,
+    snapshot: _MethodsSnapshot, otel_wrapper: OTelWrapper
 ):
     wrapped_func = snapshot.async_generate_content
 
@@ -669,10 +593,7 @@ def _create_instrumented_async_generate_content(
         **kwargs: Any,
     ) -> GenerateContentResponse:
         helper = _GenerateContentInstrumentationHelper(
-            self,
-            otel_wrapper,
-            model,
-            generate_content_config_key_allowlist=generate_content_config_key_allowlist,
+            self, otel_wrapper, model
         )
         with helper.start_span_as_current_span(
             model, "google.genai.AsyncModels.generate_content"
@@ -683,7 +604,7 @@ def _create_instrumented_async_generate_content(
                     self,
                     model=model,
                     contents=contents,
-                    config=helper.wrapped_config(config),
+                    config=config,
                     **kwargs,
                 )
                 helper.process_response(response)
@@ -698,10 +619,8 @@ def _create_instrumented_async_generate_content(
 
 
 # Disabling type checking because this is not yet implemented and tested fully.
-def _create_instrumented_async_generate_content_stream(  # type: ignore
-    snapshot: _MethodsSnapshot,
-    otel_wrapper: OTelWrapper,
-    generate_content_config_key_allowlist: Optional[AllowList] = None,
+def _create_instrumented_async_generate_content_stream(  # pyright: ignore
+    snapshot: _MethodsSnapshot, otel_wrapper: OTelWrapper
 ):
     wrapped_func = snapshot.async_generate_content_stream
 
@@ -713,12 +632,9 @@ def _create_instrumented_async_generate_content_stream(  # type: ignore
         contents: Union[ContentListUnion, ContentListUnionDict],
         config: Optional[GenerateContentConfigOrDict] = None,
         **kwargs: Any,
-    ) -> Awaitable[AsyncIterator[GenerateContentResponse]]:  # type: ignore
+    ) -> Awaitable[AsyncIterator[GenerateContentResponse]]:  # pyright: ignore
         helper = _GenerateContentInstrumentationHelper(
-            self,
-            otel_wrapper,
-            model,
-            generate_content_config_key_allowlist=generate_content_config_key_allowlist,
+            self, otel_wrapper, model
         )
         with helper.start_span_as_current_span(
             model,
@@ -731,7 +647,7 @@ def _create_instrumented_async_generate_content_stream(  # type: ignore
                 self,
                 model=model,
                 contents=contents,
-                config=helper.wrapped_config(config),
+                config=config,
                 **kwargs,
             )
         except Exception as error:  # pylint: disable=broad-exception-caught
@@ -762,29 +678,20 @@ def uninstrument_generate_content(snapshot: object):
     snapshot.restore()
 
 
-def instrument_generate_content(
-    otel_wrapper: OTelWrapper,
-    generate_content_config_key_allowlist: Optional[AllowList] = None,
-) -> object:
+def instrument_generate_content(otel_wrapper: OTelWrapper) -> object:
     snapshot = _MethodsSnapshot()
     Models.generate_content = _create_instrumented_generate_content(
-        snapshot,
-        otel_wrapper,
-        generate_content_config_key_allowlist=generate_content_config_key_allowlist,
+        snapshot, otel_wrapper
     )
-    Models.generate_content_stream = _create_instrumented_generate_content_stream(
-        snapshot,
-        otel_wrapper,
-        generate_content_config_key_allowlist=generate_content_config_key_allowlist,
+    Models.generate_content_stream = (
+        _create_instrumented_generate_content_stream(snapshot, otel_wrapper)
     )
     AsyncModels.generate_content = _create_instrumented_async_generate_content(
-        snapshot,
-        otel_wrapper,
-        generate_content_config_key_allowlist=generate_content_config_key_allowlist,
+        snapshot, otel_wrapper
     )
-    AsyncModels.generate_content_stream = _create_instrumented_async_generate_content_stream(
-        snapshot,
-        otel_wrapper,
-        generate_content_config_key_allowlist=generate_content_config_key_allowlist,
+    AsyncModels.generate_content_stream = (
+        _create_instrumented_async_generate_content_stream(
+            snapshot, otel_wrapper
+        )
     )
     return snapshot

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

@@ -12,14 +12,13 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from typing import Any, Collection, Optional
+from typing import Any, Collection
 
 from opentelemetry._events import get_event_logger_provider
 from opentelemetry.instrumentation.instrumentor import BaseInstrumentor
 from opentelemetry.metrics import get_meter_provider
 from opentelemetry.trace import get_tracer_provider
 
-from .allowlist_util import AllowList
 from .generate_content import (
     instrument_generate_content,
     uninstrument_generate_content,
@@ -28,17 +27,8 @@ from .otel_wrapper import OTelWrapper
 
 
 class GoogleGenAiSdkInstrumentor(BaseInstrumentor):
-    def __init__(
-        self, generate_content_config_key_allowlist: Optional[AllowList] = None
-    ):
+    def __init__(self):
         self._generate_content_snapshot = None
-        self._generate_content_config_key_allowlist = (
-            generate_content_config_key_allowlist
-            or AllowList.from_env(
-                "OTEL_GOOGLE_GENAI_GENERATE_CONTENT_CONFIG_INCLUDES",
-                excludes_env_var="OTEL_GOOGLE_GENAI_GENERATE_CONTENT_CONFIG_EXCLUDES",
-            )
-        )
 
     # Inherited, abstract function from 'BaseInstrumentor'. Even though 'self' is
     # not used in the definition, a method is required per the API contract.
@@ -59,8 +49,7 @@ class GoogleGenAiSdkInstrumentor(BaseInstrumentor):
             meter_provider=meter_provider,
         )
         self._generate_content_snapshot = instrument_generate_content(
-            otel_wrapper,
-            generate_content_config_key_allowlist=self._generate_content_config_key_allowlist,
+            otel_wrapper
         )
 
     def _uninstrument(self, **kwargs: Any):

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

@@ -1,15 +0,0 @@
-# Copyright The OpenTelemetry Authors
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-_instruments = ("google-genai >= 1.0.0",)

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

@@ -1,220 +0,0 @@
-# Copyright The OpenTelemetry Authors
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import functools
-import inspect
-import json
-from typing import Any, Callable, Optional, Union
-
-from google.genai.types import (
-    ToolListUnion,
-    ToolListUnionDict,
-    ToolOrDict,
-)
-
-from opentelemetry import trace
-from opentelemetry.semconv._incubating.attributes import (
-    code_attributes,
-)
-
-from .flags import is_content_recording_enabled
-from .otel_wrapper import OTelWrapper
-
-ToolFunction = Callable[..., Any]
-
-
-def _is_primitive(value):
-    return isinstance(value, (str, int, bool, float))
-
-
-def _to_otel_value(python_value):
-    """Coerces parameters to something representable with Open Telemetry."""
-    if python_value is None or _is_primitive(python_value):
-        return python_value
-    if isinstance(python_value, list):
-        return [_to_otel_value(x) for x in python_value]
-    if isinstance(python_value, dict):
-        return {
-            key: _to_otel_value(val) for (key, val) in python_value.items()
-        }
-    if hasattr(python_value, "model_dump"):
-        return python_value.model_dump()
-    if hasattr(python_value, "__dict__"):
-        return _to_otel_value(python_value.__dict__)
-    return repr(python_value)
-
-
-def _is_homogenous_primitive_list(value):
-    if not isinstance(value, list):
-        return False
-    if not value:
-        return True
-    if not _is_primitive(value[0]):
-        return False
-    first_type = type(value[0])
-    for entry in value[1:]:
-        if not isinstance(entry, first_type):
-            return False
-    return True
-
-
-def _to_otel_attribute(python_value):
-    otel_value = _to_otel_value(python_value)
-    if _is_primitive(otel_value) or _is_homogenous_primitive_list(otel_value):
-        return otel_value
-    return json.dumps(otel_value)
-
-
-def _create_function_span_name(wrapped_function):
-    """Constructs the span name for a given local function tool call."""
-    function_name = wrapped_function.__name__
-    return f"execute_tool {function_name}"
-
-
-def _create_function_span_attributes(
-    wrapped_function, function_args, function_kwargs, extra_span_attributes
-):
-    """Creates the attributes for a tool call function span."""
-    result = {}
-    if extra_span_attributes:
-        result.update(extra_span_attributes)
-    result["gen_ai.operation.name"] = "execute_tool"
-    result["gen_ai.tool.name"] = wrapped_function.__name__
-    if wrapped_function.__doc__:
-        result["gen_ai.tool.description"] = wrapped_function.__doc__
-    result[code_attributes.CODE_FUNCTION_NAME] = wrapped_function.__name__
-    result["code.module"] = wrapped_function.__module__
-    result["code.args.positional.count"] = len(function_args)
-    result["code.args.keyword.count"] = len(function_kwargs)
-    return result
-
-
-def _record_function_call_argument(
-    span, param_name, param_value, include_values
-):
-    attribute_prefix = f"code.function.parameters.{param_name}"
-    type_attribute = f"{attribute_prefix}.type"
-    span.set_attribute(type_attribute, type(param_value).__name__)
-    if include_values:
-        value_attribute = f"{attribute_prefix}.value"
-        span.set_attribute(value_attribute, _to_otel_attribute(param_value))
-
-
-def _record_function_call_arguments(
-    otel_wrapper, wrapped_function, function_args, function_kwargs
-):
-    """Records the details about a function invocation as span attributes."""
-    include_values = is_content_recording_enabled()
-    span = trace.get_current_span()
-    signature = inspect.signature(wrapped_function)
-    params = list(signature.parameters.values())
-    for index, entry in enumerate(function_args):
-        param_name = f"args[{index}]"
-        if index < len(params):
-            param_name = params[index].name
-        _record_function_call_argument(span, param_name, entry, include_values)
-    for key, value in function_kwargs.items():
-        _record_function_call_argument(span, key, value, include_values)
-
-
-def _record_function_call_result(otel_wrapper, wrapped_function, result):
-    """Records the details about a function result as span attributes."""
-    include_values = is_content_recording_enabled()
-    span = trace.get_current_span()
-    span.set_attribute("code.function.return.type", type(result).__name__)
-    if include_values:
-        span.set_attribute(
-            "code.function.return.value", _to_otel_attribute(result)
-        )
-
-
-def _wrap_sync_tool_function(
-    tool_function: ToolFunction,
-    otel_wrapper: OTelWrapper,
-    extra_span_attributes: Optional[dict[str, str]] = None,
-    **unused_kwargs,
-):
-    @functools.wraps(tool_function)
-    def wrapped_function(*args, **kwargs):
-        span_name = _create_function_span_name(tool_function)
-        attributes = _create_function_span_attributes(
-            tool_function, args, kwargs, extra_span_attributes
-        )
-        with otel_wrapper.start_as_current_span(
-            span_name, attributes=attributes
-        ):
-            _record_function_call_arguments(
-                otel_wrapper, tool_function, args, kwargs
-            )
-            result = tool_function(*args, **kwargs)
-            _record_function_call_result(otel_wrapper, tool_function, result)
-            return result
-
-    return wrapped_function
-
-
-def _wrap_async_tool_function(
-    tool_function: ToolFunction,
-    otel_wrapper: OTelWrapper,
-    extra_span_attributes: Optional[dict[str, str]] = None,
-    **unused_kwargs,
-):
-    @functools.wraps(tool_function)
-    async def wrapped_function(*args, **kwargs):
-        span_name = _create_function_span_name(tool_function)
-        attributes = _create_function_span_attributes(
-            tool_function, args, kwargs, extra_span_attributes
-        )
-        with otel_wrapper.start_as_current_span(
-            span_name, attributes=attributes
-        ):
-            _record_function_call_arguments(
-                otel_wrapper, tool_function, args, kwargs
-            )
-            result = await tool_function(*args, **kwargs)
-            _record_function_call_result(otel_wrapper, tool_function, result)
-            return result
-
-    return wrapped_function
-
-
-def _wrap_tool_function(
-    tool_function: ToolFunction, otel_wrapper: OTelWrapper, **kwargs
-):
-    if inspect.iscoroutinefunction(tool_function):
-        return _wrap_async_tool_function(tool_function, otel_wrapper, **kwargs)
-    return _wrap_sync_tool_function(tool_function, otel_wrapper, **kwargs)
-
-
-def wrapped(
-    tool_or_tools: Optional[
-        Union[ToolFunction, ToolOrDict, ToolListUnion, ToolListUnionDict]
-    ],
-    otel_wrapper: OTelWrapper,
-    **kwargs,
-):
-    if tool_or_tools is None:
-        return None
-    if isinstance(tool_or_tools, list):
-        return [
-            wrapped(item, otel_wrapper, **kwargs) for item in tool_or_tools
-        ]
-    if isinstance(tool_or_tools, dict):
-        return {
-            key: wrapped(value, otel_wrapper, **kwargs)
-            for (key, value) in tool_or_tools.items()
-        }
-    if callable(tool_or_tools):
-        return _wrap_tool_function(tool_or_tools, otel_wrapper, **kwargs)
-    return tool_or_tools

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

@@ -17,4 +17,4 @@
 #   This version should stay below "1.0" until the fundamentals
 #   in "TODOS.md" have been addressed. Please revisit the TODOs
 #   listed there before bumping to a stable version.
-__version__ = "0.4b0.dev"
+__version__ = "0.1b0"

instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/common/auth.py

@@ -1,20 +0,0 @@
-# Copyright The OpenTelemetry Authors
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import google.auth.credentials
-
-
-class FakeCredentials(google.auth.credentials.AnonymousCredentials):
-    def refresh(self, request):
-        pass

instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/common/base.py

@@ -17,39 +17,44 @@ import unittest
 
 import google.genai
 
-from .auth import FakeCredentials
 from .instrumentation_context import InstrumentationContext
 from .otel_mocker import OTelMocker
+from .requests_mocker import RequestsMocker
+
+
+class _FakeCredentials(google.auth.credentials.AnonymousCredentials):
+    def refresh(self, request):
+        pass
 
 
 class TestCase(unittest.TestCase):
     def setUp(self):
         self._otel = OTelMocker()
         self._otel.install()
+        self._requests = RequestsMocker()
+        self._requests.install()
         self._instrumentation_context = None
         self._api_key = "test-api-key"
         self._project = "test-project"
         self._location = "test-location"
         self._client = None
         self._uses_vertex = False
-        self._credentials = FakeCredentials()
-        self._instrumentor_args = {}
+        self._credentials = _FakeCredentials()
 
     def _lazy_init(self):
-        self._instrumentation_context = InstrumentationContext(
-            **self._instrumentor_args
-        )
+        self._instrumentation_context = InstrumentationContext()
         self._instrumentation_context.install()
 
-    def set_instrumentor_constructor_kwarg(self, key, value):
-        self._instrumentor_args[key] = value
-
     @property
     def client(self):
         if self._client is None:
             self._client = self._create_client()
         return self._client
 
+    @property
+    def requests(self):
+        return self._requests
+
     @property
     def otel(self):
         return self._otel
@@ -57,15 +62,6 @@ class TestCase(unittest.TestCase):
     def set_use_vertex(self, use_vertex):
         self._uses_vertex = use_vertex
 
-    def reset_client(self):
-        self._client = None
-
-    def reset_instrumentation(self):
-        if self._instrumentation_context is None:
-            return
-        self._instrumentation_context.uninstall()
-        self._instrumentation_context = None
-
     def _create_client(self):
         self._lazy_init()
         if self._uses_vertex:
@@ -76,9 +72,10 @@ class TestCase(unittest.TestCase):
                 location=self._location,
                 credentials=self._credentials,
             )
-        return google.genai.Client(vertexai=False, api_key=self._api_key)
+        return google.genai.Client(api_key=self._api_key)
 
     def tearDown(self):
         if self._instrumentation_context is not None:
             self._instrumentation_context.uninstall()
+        self._requests.uninstall()
         self._otel.uninstall()

instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/common/instrumentation_context.py

@@ -18,8 +18,8 @@ from opentelemetry.instrumentation.google_genai import (
 
 
 class InstrumentationContext:
-    def __init__(self, **kwargs):
-        self._instrumentor = GoogleGenAiSdkInstrumentor(**kwargs)
+    def __init__(self):
+        self._instrumentor = GoogleGenAiSdkInstrumentor()
 
     def install(self):
         self._instrumentor.instrument()

instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/common/otel_mocker.py

@@ -170,10 +170,6 @@ class OTelMocker:
             span is not None
         ), f'Could not find span named "{name}"; finished spans: {finished_spans}'
 
-    def assert_does_not_have_span_named(self, name):
-        span = self.get_span_named(name)
-        assert span is None, f"Found unexpected span named {name}"
-
     def get_event_named(self, event_name):
         for event in self.get_finished_logs():
             event_name_attr = event.attributes.get("event.name")

instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/common/requests_mocker.py

@@ -0,0 +1,238 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# This file defines a "RequestMocker" that facilities mocking the "requests"
+# API. There are a few reasons that we use this approach to testing:
+#
+#    1. Security - although "vcrpy" provides a means of filtering data,
+#       it can be error-prone; use of this solution risks exposing API keys,
+#       auth tokens, etc. It can also inadvertently record fields that are
+#       visibility-restricted (such as fields that are returned and available
+#       when recording using privileged API keys where such fields would not
+#       ordinarily be returned to users with non-privileged API keys).
+#
+#    2. Reproducibility - although the tests may be reproducible once the
+#       recording is present, updating the recording often has external
+#       dependencies that may be difficult to reproduce.
+#
+#    3. Costs - there are both time costs and monetary costs to the external
+#       dependencies required for a record/replay solution.
+#
+# Because they APIs that need to be mocked are simple enough and well documented
+# enough, it seems approachable to mock the requests library, instead.
+
+import copy
+import functools
+import http.client
+import io
+import json
+from typing import Optional
+
+import requests
+import requests.sessions
+
+
+class RequestsCallArgs:
+    def __init__(
+        self,
+        session: requests.sessions.Session,
+        request: requests.PreparedRequest,
+        **kwargs,
+    ):
+        self._session = session
+        self._request = request
+        self._kwargs = kwargs
+
+    @property
+    def session(self):
+        return self._session
+
+    @property
+    def request(self):
+        return self._request
+
+    @property
+    def kwargs(self):
+        return self._kwargs
+
+
+class RequestsCall:
+    def __init__(self, args: RequestsCallArgs, response_generator):
+        self._args = args
+        self._response_generator = response_generator
+
+    @property
+    def args(self):
+        return self._args
+
+    @property
+    def response(self):
+        return self._response_generator(self._args)
+
+
+def _return_error_status(
+    args: RequestsCallArgs, status_code: int, reason: Optional[str] = None
+):
+    result = requests.Response()
+    result.url = args.request.url
+    result.status_code = status_code
+    result.reason = reason or http.client.responses.get(status_code)
+    result.request = args.request
+    return result
+
+
+def _return_404(args: RequestsCallArgs):
+    return _return_error_status(args, 404, "Not Found")
+
+
+def _to_response_generator(response):
+    if response is None:
+        raise ValueError("response must not be None")
+    if isinstance(response, int):
+        return lambda args: _return_error_status(args, response)
+    if isinstance(response, requests.Response):
+
+        def generate_response_from_response(args):
+            new_response = copy.deepcopy(response)
+            new_response.request = args.request
+            new_response.url = args.request.url
+            return new_response
+
+        return generate_response_from_response
+    if isinstance(response, dict):
+
+        def generate_response_from_dict(args):
+            result = requests.Response()
+            result.status_code = 200
+            result.headers["content-type"] = "application/json"
+            result.encoding = "utf-8"
+            result.raw = io.BytesIO(json.dumps(response).encode())
+            return result
+
+        return generate_response_from_dict
+    raise ValueError(f"Unsupported response type: {type(response)}")
+
+
+def _to_stream_response_generator(response_generators):
+    if len(response_generators) == 1:
+        return response_generators[0]
+
+    def combined_generator(args):
+        first_response = response_generators[0](args)
+        if first_response.status_code != 200:
+            return first_response
+        result = requests.Response()
+        result.status_code = 200
+        result.headers["content-type"] = "application/json"
+        result.encoding = "utf-8"
+        result.headers["transfer-encoding"] = "chunked"
+        contents = []
+        for generator in response_generators:
+            response = generator(args)
+            if response.status_code != 200:
+                continue
+            response_json = response.json()
+            response_json_str = json.dumps(response_json)
+            contents.append(f"data: {response_json_str}")
+        contents_str = "\r\n".join(contents)
+        full_contents = f"{contents_str}\r\n\r\n"
+        result.raw = io.BytesIO(full_contents.encode())
+        return result
+
+    return combined_generator
+
+
+class RequestsMocker:
+    def __init__(self):
+        self._original_send = requests.sessions.Session.send
+        self._calls = []
+        self._handlers = []
+
+    def install(self):
+        @functools.wraps(requests.sessions.Session.send)
+        def replacement_send(
+            s: requests.sessions.Session,
+            request: requests.PreparedRequest,
+            **kwargs,
+        ):
+            return self._do_send(s, request, **kwargs)
+
+        requests.sessions.Session.send = replacement_send
+
+    def uninstall(self):
+        requests.sessions.Session.send = self._original_send
+
+    def reset(self):
+        self._calls = []
+        self._handlers = []
+
+    def add_response(self, response, if_matches=None):
+        self._handlers.append((if_matches, _to_response_generator(response)))
+
+    @property
+    def calls(self):
+        return self._calls
+
+    def _do_send(
+        self,
+        session: requests.sessions.Session,
+        request: requests.PreparedRequest,
+        **kwargs,
+    ):
+        stream = kwargs.get("stream", False)
+        if not stream:
+            return self._do_send_non_streaming(session, request, **kwargs)
+        return self._do_send_streaming(session, request, **kwargs)
+
+    def _do_send_streaming(
+        self,
+        session: requests.sessions.Session,
+        request: requests.PreparedRequest,
+        **kwargs,
+    ):
+        args = RequestsCallArgs(session, request, **kwargs)
+        response_generators = []
+        for matcher, response_generator in self._handlers:
+            if matcher is None:
+                response_generators.append(response_generator)
+            elif matcher(args):
+                response_generators.append(response_generator)
+        if not response_generators:
+            response_generators.append(_return_404)
+        response_generator = _to_stream_response_generator(response_generators)
+        call = RequestsCall(args, response_generator)
+        result = call.response
+        self._calls.append(call)
+        return result
+
+    def _do_send_non_streaming(
+        self,
+        session: requests.sessions.Session,
+        request: requests.PreparedRequest,
+        **kwargs,
+    ):
+        args = RequestsCallArgs(session, request, **kwargs)
+        response_generator = self._lookup_response_generator(args)
+        call = RequestsCall(args, response_generator)
+        result = call.response
+        self._calls.append(call)
+        return result
+
+    def _lookup_response_generator(self, args: RequestsCallArgs):
+        for matcher, response_generator in self._handlers:
+            if matcher is None:
+                return response_generator
+            if matcher(args):
+                return response_generator
+        return _return_404

instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/generate_content/base.py

@@ -1,163 +0,0 @@
-# Copyright The OpenTelemetry Authors
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import unittest
-import unittest.mock
-
-from google.genai.models import AsyncModels, Models
-
-from ..common.base import TestCase as CommonTestCaseBase
-from .util import convert_to_response, create_response
-
-
-# Helper used in "_install_mocks" below.
-def _wrap_output(mock_generate_content):
-    def _wrapped(*args, **kwargs):
-        return convert_to_response(mock_generate_content(*args, **kwargs))
-
-    return _wrapped
-
-
-# Helper used in "_install_mocks" below.
-def _wrap_output_stream(mock_generate_content_stream):
-    def _wrapped(*args, **kwargs):
-        for output in mock_generate_content_stream(*args, **kwargs):
-            yield convert_to_response(output)
-
-    return _wrapped
-
-
-# Helper used in "_install_mocks" below.
-def _async_wrapper(mock_generate_content):
-    async def _wrapped(*args, **kwargs):
-        return mock_generate_content(*args, **kwargs)
-
-    return _wrapped
-
-
-# Helper used in "_install_mocks" below.
-def _async_stream_wrapper(mock_generate_content_stream):
-    async def _wrapped(*args, **kwargs):
-        async def _internal_generator():
-            for result in mock_generate_content_stream(*args, **kwargs):
-                yield result
-
-        return _internal_generator()
-
-    return _wrapped
-
-
-class TestCase(CommonTestCaseBase):
-    # The "setUp" function is defined by "unittest.TestCase" and thus
-    # this name must be used. Uncertain why pylint doesn't seem to
-    # recognize that this is a unit test class for which this is inherited.
-    def setUp(self):  # pylint: disable=invalid-name
-        super().setUp()
-        if self.__class__ == TestCase:
-            raise unittest.SkipTest("Skipping testcase base.")
-        self._generate_content_mock = None
-        self._generate_content_stream_mock = None
-        self._original_generate_content = Models.generate_content
-        self._original_generate_content_stream = Models.generate_content_stream
-        self._original_async_generate_content = AsyncModels.generate_content
-        self._original_async_generate_content_stream = (
-            AsyncModels.generate_content_stream
-        )
-        self._responses = []
-        self._response_index = 0
-
-    @property
-    def mock_generate_content(self):
-        if self._generate_content_mock is None:
-            self._create_and_install_mocks()
-        return self._generate_content_mock
-
-    @property
-    def mock_generate_content_stream(self):
-        if self._generate_content_stream_mock is None:
-            self._create_and_install_mocks()
-        return self._generate_content_stream_mock
-
-    def configure_valid_response(self, **kwargs):
-        self._create_and_install_mocks()
-        response = create_response(**kwargs)
-        self._responses.append(response)
-
-    def _create_and_install_mocks(self):
-        if self._generate_content_mock is not None:
-            return
-        self.reset_client()
-        self.reset_instrumentation()
-        self._generate_content_mock = self._create_nonstream_mock()
-        self._generate_content_stream_mock = self._create_stream_mock()
-        self._install_mocks()
-
-    def _create_nonstream_mock(self):
-        mock = unittest.mock.MagicMock()
-
-        def _default_impl(*args, **kwargs):
-            if not self._responses:
-                return create_response(text="Some response")
-            index = self._response_index % len(self._responses)
-            result = self._responses[index]
-            self._response_index += 1
-            return result
-
-        mock.side_effect = _default_impl
-        return mock
-
-    def _create_stream_mock(self):
-        mock = unittest.mock.MagicMock()
-
-        def _default_impl(*args, **kwargs):
-            for response in self._responses:
-                yield response
-
-        mock.side_effect = _default_impl
-        return mock
-
-    def _install_mocks(self):
-        output_wrapped = _wrap_output(self._generate_content_mock)
-        output_wrapped_stream = _wrap_output_stream(
-            self._generate_content_stream_mock
-        )
-        Models.generate_content = output_wrapped
-        Models.generate_content_stream = output_wrapped_stream
-        AsyncModels.generate_content = _async_wrapper(output_wrapped)
-        AsyncModels.generate_content_stream = _async_stream_wrapper(
-            output_wrapped_stream
-        )
-
-    def tearDown(self):
-        super().tearDown()
-        if self._generate_content_mock is None:
-            assert Models.generate_content == self._original_generate_content
-            assert (
-                Models.generate_content_stream
-                == self._original_generate_content_stream
-            )
-            assert (
-                AsyncModels.generate_content
-                == self._original_async_generate_content
-            )
-            assert (
-                AsyncModels.generate_content_stream
-                == self._original_async_generate_content_stream
-            )
-        Models.generate_content = self._original_generate_content
-        Models.generate_content_stream = self._original_generate_content_stream
-        AsyncModels.generate_content = self._original_async_generate_content
-        AsyncModels.generate_content_stream = (
-            self._original_async_generate_content_stream
-        )

instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/generate_content/cassettes/test_non_streaming[excludecontent-gemini-1.5-flash-002-vertexaiapi-async].yaml

@@ -1,94 +0,0 @@
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instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/generate_content/cassettes/test_non_streaming[excludecontent-gemini-1.5-flash-002-vertexaiapi-sync].yaml

@@ -1,94 +0,0 @@
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instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/generate_content/cassettes/test_non_streaming[logcontent-gemini-1.5-flash-002-vertexaiapi-async].yaml

@@ -1,94 +0,0 @@
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-- request:
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instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/generate_content/cassettes/test_non_streaming[logcontent-gemini-1.5-flash-002-vertexaiapi-sync].yaml

@@ -1,94 +0,0 @@
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instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/generate_content/cassettes/test_streaming[excludecontent-gemini-1.5-flash-002-vertexaiapi-async].yaml

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instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/generate_content/cassettes/test_streaming[excludecontent-gemini-1.5-flash-002-vertexaiapi-sync].yaml

@@ -1,102 +0,0 @@
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-- request:
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instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/generate_content/cassettes/test_streaming[logcontent-gemini-1.5-flash-002-vertexaiapi-async].yaml

@@ -1,99 +0,0 @@
-interactions:
-- request:
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-          {
-            "parts": [
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-                "text": "Create a poem about Open Telemetry."
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instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/generate_content/cassettes/test_streaming[logcontent-gemini-1.5-flash-002-vertexaiapi-sync].yaml

@@ -1,99 +0,0 @@
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instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/generate_content/nonstreaming_base.py

@@ -16,7 +16,8 @@ import json
 import os
 import unittest
 
-from .base import TestCase
+from ..common.base import TestCase
+from .util import create_valid_response
 
 
 class NonStreamingTestCase(TestCase):
@@ -35,24 +36,18 @@ class NonStreamingTestCase(TestCase):
     def expected_function_name(self):
         raise NotImplementedError("Must implement 'expected_function_name'.")
 
-    def _generate_and_get_span(self, config):
-        self.generate_content(
-            model="gemini-2.0-flash",
-            contents="Some input prompt",
-            config=config,
-        )
-        self.otel.assert_has_span_named("generate_content gemini-2.0-flash")
-        return self.otel.get_span_named("generate_content gemini-2.0-flash")
+    def configure_valid_response(self, *args, **kwargs):
+        self.requests.add_response(create_valid_response(*args, **kwargs))
 
     def test_instrumentation_does_not_break_core_functionality(self):
-        self.configure_valid_response(text="Yep, it works!")
+        self.configure_valid_response(response_text="Yep, it works!")
         response = self.generate_content(
             model="gemini-2.0-flash", contents="Does this work?"
         )
         self.assertEqual(response.text, "Yep, it works!")
 
     def test_generates_span(self):
-        self.configure_valid_response(text="Yep, it works!")
+        self.configure_valid_response(response_text="Yep, it works!")
         response = self.generate_content(
             model="gemini-2.0-flash", contents="Does this work?"
         )
@@ -60,7 +55,7 @@ class NonStreamingTestCase(TestCase):
         self.otel.assert_has_span_named("generate_content gemini-2.0-flash")
 
     def test_model_reflected_into_span_name(self):
-        self.configure_valid_response(text="Yep, it works!")
+        self.configure_valid_response(response_text="Yep, it works!")
         response = self.generate_content(
             model="gemini-1.5-flash", contents="Does this work?"
         )
@@ -68,7 +63,7 @@ class NonStreamingTestCase(TestCase):
         self.otel.assert_has_span_named("generate_content gemini-1.5-flash")
 
     def test_generated_span_has_minimal_genai_attributes(self):
-        self.configure_valid_response(text="Yep, it works!")
+        self.configure_valid_response(response_text="Yep, it works!")
         self.generate_content(
             model="gemini-2.0-flash", contents="Does this work?"
         )
@@ -80,7 +75,7 @@ class NonStreamingTestCase(TestCase):
         )
 
     def test_generated_span_has_correct_function_name(self):
-        self.configure_valid_response(text="Yep, it works!")
+        self.configure_valid_response(response_text="Yep, it works!")
         self.generate_content(
             model="gemini-2.0-flash", contents="Does this work?"
         )
@@ -92,7 +87,7 @@ class NonStreamingTestCase(TestCase):
 
     def test_generated_span_has_vertex_ai_system_when_configured(self):
         self.set_use_vertex(True)
-        self.configure_valid_response(text="Yep, it works!")
+        self.configure_valid_response(response_text="Yep, it works!")
         self.generate_content(
             model="gemini-2.0-flash", contents="Does this work?"
         )
@@ -175,7 +170,7 @@ class NonStreamingTestCase(TestCase):
         os.environ["OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT"] = (
             "true"
         )
-        self.configure_valid_response(text="Some response content")
+        self.configure_valid_response(response_text="Some response content")
         self.generate_content(model="gemini-2.0-flash", contents="Some input")
         self.otel.assert_has_event_named("gen_ai.choice")
         event_record = self.otel.get_event_named("gen_ai.choice")
@@ -188,7 +183,7 @@ class NonStreamingTestCase(TestCase):
         os.environ["OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT"] = (
             "false"
         )
-        self.configure_valid_response(text="Some response content")
+        self.configure_valid_response(response_text="Some response content")
         self.generate_content(model="gemini-2.0-flash", contents="Some input")
         self.otel.assert_has_event_named("gen_ai.choice")
         event_record = self.otel.get_event_named("gen_ai.choice")

instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/generate_content/streaming_base.py

@@ -14,7 +14,8 @@
 
 import unittest
 
-from .base import TestCase
+from ..common.base import TestCase
+from .util import create_valid_response
 
 
 class StreamingTestCase(TestCase):
@@ -33,8 +34,11 @@ class StreamingTestCase(TestCase):
     def expected_function_name(self):
         raise NotImplementedError("Must implement 'expected_function_name'.")
 
+    def configure_valid_response(self, *args, **kwargs):
+        self.requests.add_response(create_valid_response(*args, **kwargs))
+
     def test_instrumentation_does_not_break_core_functionality(self):
-        self.configure_valid_response(text="Yep, it works!")
+        self.configure_valid_response(response_text="Yep, it works!")
         responses = self.generate_content(
             model="gemini-2.0-flash", contents="Does this work?"
         )
@@ -43,8 +47,8 @@ class StreamingTestCase(TestCase):
         self.assertEqual(response.text, "Yep, it works!")
 
     def test_handles_multiple_ressponses(self):
-        self.configure_valid_response(text="First response")
-        self.configure_valid_response(text="Second response")
+        self.configure_valid_response(response_text="First response")
+        self.configure_valid_response(response_text="Second response")
         responses = self.generate_content(
             model="gemini-2.0-flash", contents="Does this work?"
         )

instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/generate_content/test_config_span_attributes.py

@@ -1,162 +0,0 @@
-# Copyright The OpenTelemetry Authors
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import os
-from unittest import mock
-
-from google.genai.types import GenerateContentConfig
-
-from opentelemetry.instrumentation.google_genai.allowlist_util import AllowList
-
-from .base import TestCase
-
-
-class ConfigSpanAttributesTestCase(TestCase):
-    def setUp(self):
-        super().setUp()
-        self.configure_valid_response(text="Some response")
-
-    def generate_content(self, *args, **kwargs):
-        return self.client.models.generate_content(*args, **kwargs)
-
-    def generate_and_get_span(self, config):
-        self.client.models.generate_content(
-            model="gemini-2.0-flash",
-            contents="Some input prompt",
-            config=config,
-        )
-        self.otel.assert_has_span_named("generate_content gemini-2.0-flash")
-        return self.otel.get_span_named("generate_content gemini-2.0-flash")
-
-    def test_option_reflected_to_span_attribute_choice_count_config_dict(self):
-        span = self.generate_and_get_span(config={"candidate_count": 2})
-        self.assertEqual(span.attributes["gen_ai.request.choice.count"], 2)
-
-    def test_option_reflected_to_span_attribute_choice_count_config_obj(self):
-        span = self.generate_and_get_span(
-            config=GenerateContentConfig(candidate_count=2)
-        )
-        self.assertEqual(span.attributes["gen_ai.request.choice.count"], 2)
-
-    def test_option_reflected_to_span_attribute_seed_config_dict(self):
-        span = self.generate_and_get_span(config={"seed": 12345})
-        self.assertEqual(span.attributes["gen_ai.request.seed"], 12345)
-
-    def test_option_reflected_to_span_attribute_seed_config_obj(self):
-        span = self.generate_and_get_span(
-            config=GenerateContentConfig(seed=12345)
-        )
-        self.assertEqual(span.attributes["gen_ai.request.seed"], 12345)
-
-    def test_option_reflected_to_span_attribute_frequency_penalty(self):
-        span = self.generate_and_get_span(config={"frequency_penalty": 1.0})
-        self.assertEqual(
-            span.attributes["gen_ai.request.frequency_penalty"], 1.0
-        )
-
-    def test_option_reflected_to_span_attribute_max_tokens(self):
-        span = self.generate_and_get_span(
-            config=GenerateContentConfig(max_output_tokens=5000)
-        )
-        self.assertEqual(span.attributes["gen_ai.request.max_tokens"], 5000)
-
-    def test_option_reflected_to_span_attribute_presence_penalty(self):
-        span = self.generate_and_get_span(
-            config=GenerateContentConfig(presence_penalty=0.5)
-        )
-        self.assertEqual(
-            span.attributes["gen_ai.request.presence_penalty"], 0.5
-        )
-
-    def test_option_reflected_to_span_attribute_stop_sequences(self):
-        span = self.generate_and_get_span(
-            config={"stop_sequences": ["foo", "bar"]}
-        )
-        stop_sequences = span.attributes["gen_ai.request.stop_sequences"]
-        self.assertEqual(len(stop_sequences), 2)
-        self.assertEqual(stop_sequences[0], "foo")
-        self.assertEqual(stop_sequences[1], "bar")
-
-    def test_option_reflected_to_span_attribute_top_k(self):
-        span = self.generate_and_get_span(
-            config=GenerateContentConfig(top_k=20)
-        )
-        self.assertEqual(span.attributes["gen_ai.request.top_k"], 20)
-
-    def test_option_reflected_to_span_attribute_top_p(self):
-        span = self.generate_and_get_span(config={"top_p": 10})
-        self.assertEqual(span.attributes["gen_ai.request.top_p"], 10)
-
-    @mock.patch.dict(
-        os.environ, {"OTEL_GOOGLE_GENAI_GENERATE_CONTENT_CONFIG_INCLUDES": "*"}
-    )
-    def test_option_not_reflected_to_span_attribute_system_instruction(self):
-        span = self.generate_and_get_span(
-            config={"system_instruction": "Yadda yadda yadda"}
-        )
-        self.assertNotIn(
-            "gcp.gen_ai.operation.config.system_instruction", span.attributes
-        )
-        self.assertNotIn("gen_ai.request.system_instruction", span.attributes)
-        for key in span.attributes:
-            value = span.attributes[key]
-            if isinstance(value, str):
-                self.assertNotIn("Yadda yadda yadda", value)
-
-    @mock.patch.dict(
-        os.environ, {"OTEL_GOOGLE_GENAI_GENERATE_CONTENT_CONFIG_INCLUDES": "*"}
-    )
-    def test_option_reflected_to_span_attribute_automatic_func_calling(self):
-        span = self.generate_and_get_span(
-            config={
-                "automatic_function_calling": {
-                    "ignore_call_history": True,
-                }
-            }
-        )
-        self.assertTrue(
-            span.attributes[
-                "gcp.gen_ai.operation.config.automatic_function_calling.ignore_call_history"
-            ]
-        )
-
-    def test_dynamic_config_options_not_included_without_allow_list(self):
-        span = self.generate_and_get_span(
-            config={
-                "automatic_function_calling": {
-                    "ignore_call_history": True,
-                }
-            }
-        )
-        self.assertNotIn(
-            "gcp.gen_ai.operation.config.automatic_function_calling.ignore_call_history",
-            span.attributes,
-        )
-
-    def test_can_supply_allow_list_via_instrumentor_constructor(self):
-        self.set_instrumentor_constructor_kwarg(
-            "generate_content_config_key_allowlist", AllowList(includes=["*"])
-        )
-        span = self.generate_and_get_span(
-            config={
-                "automatic_function_calling": {
-                    "ignore_call_history": True,
-                }
-            }
-        )
-        self.assertTrue(
-            span.attributes[
-                "gcp.gen_ai.operation.config.automatic_function_calling.ignore_call_history"
-            ]
-        )

instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/generate_content/test_e2e.py

@@ -1,504 +0,0 @@
-# Copyright The OpenTelemetry Authors
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""High level end-to-end test of the generate content instrumentation.
-
-The primary purpose of this test is to verify that the instrumentation
-package does not break the underlying GenAI SDK that it instruments.
-
-This test suite also has some minimal validation of the instrumentation
-outputs; however, validating the instrumentation output (other than
-verifying that instrumentation does not break the GenAI SDK) is a
-secondary goal of this test. Detailed testing of the instrumentation
-output is the purview of the other tests in this directory."""
-
-import asyncio
-import gzip
-import json
-import os
-import subprocess
-import sys
-
-import google.auth
-import google.auth.credentials
-import google.genai
-import pytest
-import yaml
-from vcr.record_mode import RecordMode
-
-from opentelemetry.instrumentation.google_genai import (
-    GoogleGenAiSdkInstrumentor,
-)
-
-from ..common.auth import FakeCredentials
-from ..common.otel_mocker import OTelMocker
-
-_FAKE_PROJECT = "test-project"
-_FAKE_LOCATION = "test-location"
-_FAKE_API_KEY = "test-api-key"
-_DEFAULT_REAL_LOCATION = "us-central1"
-
-
-def _get_project_from_env():
-    return (
-        os.getenv("GCLOUD_PROJECT") or os.getenv("GOOGLE_CLOUD_PROJECT") or ""
-    )
-
-
-def _get_project_from_gcloud_cli():
-    try:
-        gcloud_call_result = subprocess.run(
-            "gcloud config get project",
-            shell=True,
-            capture_output=True,
-            check=True,
-        )
-    except subprocess.CalledProcessError:
-        return None
-    gcloud_output = gcloud_call_result.stdout.decode()
-    return gcloud_output.strip()
-
-
-def _get_project_from_credentials():
-    _, from_creds = google.auth.default()
-    return from_creds
-
-
-def _get_real_project():
-    from_env = _get_project_from_env()
-    if from_env:
-        return from_env
-    from_cli = _get_project_from_gcloud_cli()
-    if from_cli:
-        return from_cli
-    return _get_project_from_credentials()
-
-
-def _get_location_from_env():
-    return (
-        os.getenv("GCLOUD_LOCATION")
-        or os.getenv("GOOGLE_CLOUD_LOCATION")
-        or ""
-    )
-
-
-def _get_real_location():
-    return _get_location_from_env() or _DEFAULT_REAL_LOCATION
-
-
-def _get_vertex_api_key_from_env():
-    return os.getenv("GOOGLE_API_KEY")
-
-
-def _get_gemini_api_key_from_env():
-    return os.getenv("GEMINI_API_KEY")
-
-
-def _should_redact_header(header_key):
-    if header_key.startswith("x-goog"):
-        return True
-    if header_key.startswith("sec-goog"):
-        return True
-    if header_key in ["server", "server-timing"]:
-        return True
-    return False
-
-
-def _redact_headers(headers):
-    for header_key in headers:
-        if _should_redact_header(header_key.lower()):
-            headers[header_key] = "<REDACTED>"
-
-
-def _before_record_request(request):
-    if request.headers:
-        _redact_headers(request.headers)
-    uri = request.uri
-    project = _get_project_from_env()
-    if project:
-        uri = uri.replace(f"projects/{project}", f"projects/{_FAKE_PROJECT}")
-    location = _get_real_location()
-    if location:
-        uri = uri.replace(
-            f"locations/{location}", f"locations/{_FAKE_LOCATION}"
-        )
-        uri = uri.replace(
-            f"//{location}-aiplatform.googleapis.com",
-            f"//{_FAKE_LOCATION}-aiplatform.googleapis.com",
-        )
-    request.uri = uri
-    return request
-
-
-def _before_record_response(response):
-    if hasattr(response, "headers") and response.headers:
-        _redact_headers(response.headers)
-    return response
-
-
-@pytest.fixture(name="vcr_config", scope="module")
-def fixture_vcr_config():
-    return {
-        "filter_query_parameters": [
-            "key",
-            "apiKey",
-            "quotaUser",
-            "userProject",
-            "token",
-            "access_token",
-            "accessToken",
-            "refesh_token",
-            "refreshToken",
-            "authuser",
-            "bearer",
-            "bearer_token",
-            "bearerToken",
-            "userIp",
-        ],
-        "filter_post_data_parameters": ["apikey", "api_key", "key"],
-        "filter_headers": [
-            "x-goog-api-key",
-            "authorization",
-            "server",
-            "Server",
-            "Server-Timing",
-            "Date",
-        ],
-        "before_record_request": _before_record_request,
-        "before_record_response": _before_record_response,
-        "ignore_hosts": [
-            "oauth2.googleapis.com",
-            "iam.googleapis.com",
-        ],
-    }
-
-
-class _LiteralBlockScalar(str):
-    """Formats the string as a literal block scalar, preserving whitespace and
-    without interpreting escape characters"""
-
-
-def _literal_block_scalar_presenter(dumper, data):
-    """Represents a scalar string as a literal block, via '|' syntax"""
-    return dumper.represent_scalar("tag:yaml.org,2002:str", data, style="|")
-
-
-@pytest.fixture(
-    name="internal_setup_yaml_pretty_formatting", scope="module", autouse=True
-)
-def fixture_setup_yaml_pretty_formatting():
-    yaml.add_representer(_LiteralBlockScalar, _literal_block_scalar_presenter)
-
-
-def _process_string_value(string_value):
-    """Pretty-prints JSON or returns long strings as a LiteralBlockScalar"""
-    try:
-        json_data = json.loads(string_value)
-        return _LiteralBlockScalar(json.dumps(json_data, indent=2))
-    except (ValueError, TypeError):
-        if len(string_value) > 80:
-            return _LiteralBlockScalar(string_value)
-    return string_value
-
-
-def _convert_body_to_literal(data):
-    """Searches the data for body strings, attempting to pretty-print JSON"""
-    if isinstance(data, dict):
-        for key, value in data.items():
-            # Handle response body case (e.g., response.body.string)
-            if key == "body" and isinstance(value, dict) and "string" in value:
-                value["string"] = _process_string_value(value["string"])
-
-            # Handle request body case (e.g., request.body)
-            elif key == "body" and isinstance(value, str):
-                data[key] = _process_string_value(value)
-
-            else:
-                _convert_body_to_literal(value)
-
-    elif isinstance(data, list):
-        for idx, choice in enumerate(data):
-            data[idx] = _convert_body_to_literal(choice)
-
-    return data
-
-
-# Helper for enforcing GZIP compression where it was originally.
-def _ensure_gzip_single_response(data: bytes):
-    try:
-        # Attempt to decompress, first, to avoid double compression.
-        gzip.decompress(data)
-        return data
-    except gzip.BadGzipFile:
-        # It must not have been compressed in the first place.
-        return gzip.compress(data)
-
-
-# VCRPy automatically decompresses responses before saving them, but it may forget to
-# re-encode them when the data is loaded. This can create issues with decompression.
-# This is why we re-encode on load; to accurately replay what was originally sent.
-#
-# https://vcrpy.readthedocs.io/en/latest/advanced.html#decode-compressed-response
-def _ensure_casette_gzip(loaded_casette):
-    for interaction in loaded_casette["interactions"]:
-        response = interaction["response"]
-        headers = response["headers"]
-        if (
-            "content-encoding" not in headers
-            and "Content-Encoding" not in headers
-        ):
-            continue
-        if (
-            "content-encoding" in headers
-            and "gzip" not in headers["content-encoding"]
-        ):
-            continue
-        if (
-            "Content-Encoding" in headers
-            and "gzip" not in headers["Content-Encoding"]
-        ):
-            continue
-        response["body"]["string"] = _ensure_gzip_single_response(
-            response["body"]["string"].encode()
-        )
-
-
-def _maybe_ensure_casette_gzip(result):
-    if sys.version_info[0] == 3 and sys.version_info[1] == 9:
-        _ensure_casette_gzip(result)
-
-
-class _PrettyPrintJSONBody:
-    """This makes request and response body recordings more readable."""
-
-    @staticmethod
-    def serialize(cassette_dict):
-        cassette_dict = _convert_body_to_literal(cassette_dict)
-        return yaml.dump(
-            cassette_dict, default_flow_style=False, allow_unicode=True
-        )
-
-    @staticmethod
-    def deserialize(cassette_string):
-        result = yaml.load(cassette_string, Loader=yaml.Loader)
-        _maybe_ensure_casette_gzip(result)
-        return result
-
-
-@pytest.fixture(name="fully_initialized_vcr", scope="module", autouse=True)
-def setup_vcr(vcr):
-    vcr.register_serializer("yaml", _PrettyPrintJSONBody)
-    vcr.serializer = "yaml"
-    return vcr
-
-
-@pytest.fixture(name="instrumentor")
-def fixture_instrumentor():
-    return GoogleGenAiSdkInstrumentor()
-
-
-@pytest.fixture(name="internal_instrumentation_setup", autouse=True)
-def fixture_setup_instrumentation(instrumentor):
-    instrumentor.instrument()
-    yield
-    instrumentor.uninstrument()
-
-
-@pytest.fixture(name="otel_mocker", autouse=True)
-def fixture_otel_mocker():
-    result = OTelMocker()
-    result.install()
-    yield result
-    result.uninstall()
-
-
-@pytest.fixture(
-    name="setup_content_recording",
-    autouse=True,
-    params=["logcontent", "excludecontent"],
-)
-def fixture_setup_content_recording(request):
-    enabled = request.param == "logcontent"
-    os.environ["OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT"] = str(
-        enabled
-    )
-
-
-@pytest.fixture(name="vcr_record_mode")
-def fixture_vcr_record_mode(vcr):
-    return vcr.record_mode
-
-
-@pytest.fixture(name="in_replay_mode")
-def fixture_in_replay_mode(vcr_record_mode):
-    return vcr_record_mode == RecordMode.NONE
-
-
-@pytest.fixture(name="gcloud_project", autouse=True)
-def fixture_gcloud_project(in_replay_mode):
-    if in_replay_mode:
-        return _FAKE_PROJECT
-    result = _get_real_project()
-    for env_var in ["GCLOUD_PROJECT", "GOOGLE_CLOUD_PROJECT"]:
-        os.environ[env_var] = result
-    return result
-
-
-@pytest.fixture(name="gcloud_location")
-def fixture_gcloud_location(in_replay_mode):
-    if in_replay_mode:
-        return _FAKE_LOCATION
-    return _get_real_location()
-
-
-@pytest.fixture(name="gcloud_credentials")
-def fixture_gcloud_credentials(in_replay_mode):
-    if in_replay_mode:
-        return FakeCredentials()
-    creds, _ = google.auth.default()
-    return google.auth.credentials.with_scopes_if_required(
-        creds, ["https://www.googleapis.com/auth/cloud-platform"]
-    )
-
-
-@pytest.fixture(name="gemini_api_key")
-def fixture_gemini_api_key(in_replay_mode):
-    if in_replay_mode:
-        return _FAKE_API_KEY
-    return os.getenv("GEMINI_API_KEY")
-
-
-@pytest.fixture(name="gcloud_api_key", autouse=True)
-def fixture_gcloud_api_key(gemini_api_key):
-    if "GOOGLE_API_KEY" not in os.environ:
-        os.environ["GOOGLE_API_KEY"] = gemini_api_key
-    return os.getenv("GOOGLE_API_KEY")
-
-
-@pytest.fixture(name="nonvertex_client_factory")
-def fixture_nonvertex_client_factory(gemini_api_key):
-    def _factory():
-        return google.genai.Client(api_key=gemini_api_key, vertexai=False)
-
-    return _factory
-
-
-@pytest.fixture(name="vertex_client_factory")
-def fixture_vertex_client_factory(
-    gcloud_project, gcloud_location, gcloud_credentials
-):
-    def _factory():
-        return google.genai.Client(
-            vertexai=True,
-            project=gcloud_project,
-            location=gcloud_location,
-            credentials=gcloud_credentials,
-        )
-
-    return _factory
-
-
-@pytest.fixture(name="genai_sdk_backend", params=["vertexaiapi"])
-def fixture_genai_sdk_backend(request):
-    return request.param
-
-
-@pytest.fixture(name="use_vertex", autouse=True)
-def fixture_use_vertex(genai_sdk_backend):
-    result = bool(genai_sdk_backend == "vertexaiapi")
-    os.environ["GOOGLE_GENAI_USE_VERTEXAI"] = "1" if result else "0"
-    return result
-
-
-@pytest.fixture(name="client")
-def fixture_client(
-    vertex_client_factory, nonvertex_client_factory, use_vertex
-):
-    if use_vertex:
-        return vertex_client_factory()
-    return nonvertex_client_factory()
-
-
-@pytest.fixture(name="is_async", params=["sync", "async"])
-def fixture_is_async(request):
-    return request.param == "async"
-
-
-@pytest.fixture(name="model", params=["gemini-1.5-flash-002"])
-def fixture_model(request):
-    return request.param
-
-
-@pytest.fixture(name="generate_content")
-def fixture_generate_content(client, is_async):
-    def _sync_impl(*args, **kwargs):
-        return client.models.generate_content(*args, **kwargs)
-
-    def _async_impl(*args, **kwargs):
-        return asyncio.run(client.aio.models.generate_content(*args, **kwargs))
-
-    if is_async:
-        return _async_impl
-    return _sync_impl
-
-
-@pytest.fixture(name="generate_content_stream")
-def fixture_generate_content_stream(client, is_async):
-    def _sync_impl(*args, **kwargs):
-        results = []
-        for result in client.models.generate_content_stream(*args, **kwargs):
-            results.append(result)
-        return results
-
-    def _async_impl(*args, **kwargs):
-        async def _gather_all():
-            results = []
-            async for (
-                result
-            ) in await client.aio.models.generate_content_stream(
-                *args, **kwargs
-            ):
-                results.append(result)
-            return results
-
-        return asyncio.run(_gather_all())
-
-    if is_async:
-        return _async_impl
-    return _sync_impl
-
-
-@pytest.mark.vcr
-def test_non_streaming(generate_content, model, otel_mocker):
-    response = generate_content(
-        model=model, contents="Create a poem about Open Telemetry."
-    )
-    assert response is not None
-    assert response.text is not None
-    assert len(response.text) > 0
-    otel_mocker.assert_has_span_named(f"generate_content {model}")
-
-
-@pytest.mark.vcr
-def test_streaming(generate_content_stream, model, otel_mocker):
-    count = 0
-    for response in generate_content_stream(
-        model=model, contents="Create a poem about Open Telemetry."
-    ):
-        assert response is not None
-        assert response.text is not None
-        assert len(response.text) > 0
-        count += 1
-    assert count > 0
-    otel_mocker.assert_has_span_named(f"generate_content {model}")

instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/generate_content/test_finish_reasons.py

@@ -1,143 +0,0 @@
-# Copyright The OpenTelemetry Authors
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-
-from google.genai import types as genai_types
-
-from .base import TestCase
-
-
-class FinishReasonsTestCase(TestCase):
-    def generate_and_get_span_finish_reasons(self):
-        self.client.models.generate_content(
-            model="gemini-2.5-flash-001", contents="Some prompt"
-        )
-        span = self.otel.get_span_named(
-            "generate_content gemini-2.5-flash-001"
-        )
-        assert span is not None
-        assert "gen_ai.response.finish_reasons" in span.attributes
-        return list(span.attributes["gen_ai.response.finish_reasons"])
-
-    def test_single_candidate_with_valid_reason(self):
-        self.configure_valid_response(
-            candidate=genai_types.Candidate(
-                finish_reason=genai_types.FinishReason.STOP
-            )
-        )
-        self.assertEqual(self.generate_and_get_span_finish_reasons(), ["stop"])
-
-    def test_single_candidate_with_safety_reason(self):
-        self.configure_valid_response(
-            candidate=genai_types.Candidate(
-                finish_reason=genai_types.FinishReason.SAFETY
-            )
-        )
-        self.assertEqual(
-            self.generate_and_get_span_finish_reasons(), ["safety"]
-        )
-
-    def test_single_candidate_with_max_tokens_reason(self):
-        self.configure_valid_response(
-            candidate=genai_types.Candidate(
-                finish_reason=genai_types.FinishReason.MAX_TOKENS
-            )
-        )
-        self.assertEqual(
-            self.generate_and_get_span_finish_reasons(), ["max_tokens"]
-        )
-
-    def test_single_candidate_with_no_reason(self):
-        self.configure_valid_response(
-            candidate=genai_types.Candidate(finish_reason=None)
-        )
-        self.assertEqual(self.generate_and_get_span_finish_reasons(), [])
-
-    def test_single_candidate_with_unspecified_reason(self):
-        self.configure_valid_response(
-            candidate=genai_types.Candidate(
-                finish_reason=genai_types.FinishReason.FINISH_REASON_UNSPECIFIED
-            )
-        )
-        self.assertEqual(
-            self.generate_and_get_span_finish_reasons(), ["unspecified"]
-        )
-
-    def test_multiple_candidates_with_valid_reasons(self):
-        self.configure_valid_response(
-            candidates=[
-                genai_types.Candidate(
-                    finish_reason=genai_types.FinishReason.MAX_TOKENS
-                ),
-                genai_types.Candidate(
-                    finish_reason=genai_types.FinishReason.STOP
-                ),
-            ]
-        )
-        self.assertEqual(
-            self.generate_and_get_span_finish_reasons(), ["max_tokens", "stop"]
-        )
-
-    def test_sorts_finish_reasons(self):
-        self.configure_valid_response(
-            candidates=[
-                genai_types.Candidate(
-                    finish_reason=genai_types.FinishReason.STOP
-                ),
-                genai_types.Candidate(
-                    finish_reason=genai_types.FinishReason.MAX_TOKENS
-                ),
-                genai_types.Candidate(
-                    finish_reason=genai_types.FinishReason.SAFETY
-                ),
-            ]
-        )
-        self.assertEqual(
-            self.generate_and_get_span_finish_reasons(),
-            ["max_tokens", "safety", "stop"],
-        )
-
-    def test_deduplicates_finish_reasons(self):
-        self.configure_valid_response(
-            candidates=[
-                genai_types.Candidate(
-                    finish_reason=genai_types.FinishReason.STOP
-                ),
-                genai_types.Candidate(
-                    finish_reason=genai_types.FinishReason.MAX_TOKENS
-                ),
-                genai_types.Candidate(
-                    finish_reason=genai_types.FinishReason.STOP
-                ),
-                genai_types.Candidate(
-                    finish_reason=genai_types.FinishReason.STOP
-                ),
-                genai_types.Candidate(
-                    finish_reason=genai_types.FinishReason.SAFETY
-                ),
-                genai_types.Candidate(
-                    finish_reason=genai_types.FinishReason.STOP
-                ),
-                genai_types.Candidate(
-                    finish_reason=genai_types.FinishReason.STOP
-                ),
-                genai_types.Candidate(
-                    finish_reason=genai_types.FinishReason.STOP
-                ),
-            ]
-        )
-        self.assertEqual(
-            self.generate_and_get_span_finish_reasons(),
-            ["max_tokens", "safety", "stop"],
-        )

instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/generate_content/test_tool_call_instrumentation.py

@@ -1,277 +0,0 @@
-# Copyright The OpenTelemetry Authors
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from unittest.mock import patch
-
-import google.genai.types as genai_types
-
-from .base import TestCase
-
-
-class ToolCallInstrumentationTestCase(TestCase):
-    def test_tool_calls_with_config_dict_outputs_spans(self):
-        calls = []
-
-        def handle(*args, **kwargs):
-            calls.append((args, kwargs))
-            return "some result"
-
-        def somefunction(somearg):
-            print("somearg=%s", somearg)
-
-        self.mock_generate_content.side_effect = handle
-        self.client.models.generate_content(
-            model="some-model-name",
-            contents="Some content",
-            config={
-                "tools": [somefunction],
-            },
-        )
-        self.assertEqual(len(calls), 1)
-        config = calls[0][1]["config"]
-        tools = config.tools
-        wrapped_somefunction = tools[0]
-
-        self.assertIsNone(
-            self.otel.get_span_named("execute_tool somefunction")
-        )
-        wrapped_somefunction("someparam")
-        self.otel.assert_has_span_named("execute_tool somefunction")
-        generated_span = self.otel.get_span_named("execute_tool somefunction")
-        self.assertIn("gen_ai.system", generated_span.attributes)
-        self.assertEqual(
-            generated_span.attributes["gen_ai.tool.name"], "somefunction"
-        )
-        self.assertEqual(
-            generated_span.attributes["code.args.positional.count"], 1
-        )
-        self.assertEqual(
-            generated_span.attributes["code.args.keyword.count"], 0
-        )
-
-    def test_tool_calls_with_config_object_outputs_spans(self):
-        calls = []
-
-        def handle(*args, **kwargs):
-            calls.append((args, kwargs))
-            return "some result"
-
-        def somefunction(somearg):
-            print("somearg=%s", somearg)
-
-        self.mock_generate_content.side_effect = handle
-        self.client.models.generate_content(
-            model="some-model-name",
-            contents="Some content",
-            config=genai_types.GenerateContentConfig(
-                tools=[somefunction],
-            ),
-        )
-        self.assertEqual(len(calls), 1)
-        config = calls[0][1]["config"]
-        tools = config.tools
-        wrapped_somefunction = tools[0]
-
-        self.assertIsNone(
-            self.otel.get_span_named("execute_tool somefunction")
-        )
-        wrapped_somefunction("someparam")
-        self.otel.assert_has_span_named("execute_tool somefunction")
-        generated_span = self.otel.get_span_named("execute_tool somefunction")
-        self.assertIn("gen_ai.system", generated_span.attributes)
-        self.assertEqual(
-            generated_span.attributes["gen_ai.tool.name"], "somefunction"
-        )
-        self.assertEqual(
-            generated_span.attributes["code.args.positional.count"], 1
-        )
-        self.assertEqual(
-            generated_span.attributes["code.args.keyword.count"], 0
-        )
-
-    @patch.dict(
-        "os.environ",
-        {"OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "true"},
-    )
-    def test_tool_calls_record_parameter_values_on_span_if_enabled(self):
-        calls = []
-
-        def handle(*args, **kwargs):
-            calls.append((args, kwargs))
-            return "some result"
-
-        def somefunction(someparam, otherparam=2):
-            print("someparam=%s, otherparam=%s", someparam, otherparam)
-
-        self.mock_generate_content.side_effect = handle
-        self.client.models.generate_content(
-            model="some-model-name",
-            contents="Some content",
-            config={
-                "tools": [somefunction],
-            },
-        )
-        self.assertEqual(len(calls), 1)
-        config = calls[0][1]["config"]
-        tools = config.tools
-        wrapped_somefunction = tools[0]
-        wrapped_somefunction(123, otherparam="abc")
-        self.otel.assert_has_span_named("execute_tool somefunction")
-        generated_span = self.otel.get_span_named("execute_tool somefunction")
-        self.assertEqual(
-            generated_span.attributes[
-                "code.function.parameters.someparam.type"
-            ],
-            "int",
-        )
-        self.assertEqual(
-            generated_span.attributes[
-                "code.function.parameters.otherparam.type"
-            ],
-            "str",
-        )
-        self.assertEqual(
-            generated_span.attributes[
-                "code.function.parameters.someparam.value"
-            ],
-            123,
-        )
-        self.assertEqual(
-            generated_span.attributes[
-                "code.function.parameters.otherparam.value"
-            ],
-            "abc",
-        )
-
-    @patch.dict(
-        "os.environ",
-        {"OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "false"},
-    )
-    def test_tool_calls_do_not_record_parameter_values_if_not_enabled(self):
-        calls = []
-
-        def handle(*args, **kwargs):
-            calls.append((args, kwargs))
-            return "some result"
-
-        def somefunction(someparam, otherparam=2):
-            print("someparam=%s, otherparam=%s", someparam, otherparam)
-
-        self.mock_generate_content.side_effect = handle
-        self.client.models.generate_content(
-            model="some-model-name",
-            contents="Some content",
-            config={
-                "tools": [somefunction],
-            },
-        )
-        self.assertEqual(len(calls), 1)
-        config = calls[0][1]["config"]
-        tools = config.tools
-        wrapped_somefunction = tools[0]
-        wrapped_somefunction(123, otherparam="abc")
-        self.otel.assert_has_span_named("execute_tool somefunction")
-        generated_span = self.otel.get_span_named("execute_tool somefunction")
-        self.assertEqual(
-            generated_span.attributes[
-                "code.function.parameters.someparam.type"
-            ],
-            "int",
-        )
-        self.assertEqual(
-            generated_span.attributes[
-                "code.function.parameters.otherparam.type"
-            ],
-            "str",
-        )
-        self.assertNotIn(
-            "code.function.parameters.someparam.value",
-            generated_span.attributes,
-        )
-        self.assertNotIn(
-            "code.function.parameters.otherparam.value",
-            generated_span.attributes,
-        )
-
-    @patch.dict(
-        "os.environ",
-        {"OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "true"},
-    )
-    def test_tool_calls_record_return_values_on_span_if_enabled(self):
-        calls = []
-
-        def handle(*args, **kwargs):
-            calls.append((args, kwargs))
-            return "some result"
-
-        def somefunction(x, y=2):
-            return x + y
-
-        self.mock_generate_content.side_effect = handle
-        self.client.models.generate_content(
-            model="some-model-name",
-            contents="Some content",
-            config={
-                "tools": [somefunction],
-            },
-        )
-        self.assertEqual(len(calls), 1)
-        config = calls[0][1]["config"]
-        tools = config.tools
-        wrapped_somefunction = tools[0]
-        wrapped_somefunction(123)
-        self.otel.assert_has_span_named("execute_tool somefunction")
-        generated_span = self.otel.get_span_named("execute_tool somefunction")
-        self.assertEqual(
-            generated_span.attributes["code.function.return.type"], "int"
-        )
-        self.assertEqual(
-            generated_span.attributes["code.function.return.value"], 125
-        )
-
-    @patch.dict(
-        "os.environ",
-        {"OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "false"},
-    )
-    def test_tool_calls_do_not_record_return_values_if_not_enabled(self):
-        calls = []
-
-        def handle(*args, **kwargs):
-            calls.append((args, kwargs))
-            return "some result"
-
-        def somefunction(x, y=2):
-            return x + y
-
-        self.mock_generate_content.side_effect = handle
-        self.client.models.generate_content(
-            model="some-model-name",
-            contents="Some content",
-            config={
-                "tools": [somefunction],
-            },
-        )
-        self.assertEqual(len(calls), 1)
-        config = calls[0][1]["config"]
-        tools = config.tools
-        wrapped_somefunction = tools[0]
-        wrapped_somefunction(123)
-        self.otel.assert_has_span_named("execute_tool somefunction")
-        generated_span = self.otel.get_span_named("execute_tool somefunction")
-        self.assertEqual(
-            generated_span.attributes["code.function.return.type"], "int"
-        )
-        self.assertNotIn(
-            "code.function.return.value", generated_span.attributes
-        )

instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/generate_content/util.py

@@ -12,64 +12,27 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from typing import Optional, Union
 
-import google.genai.types as genai_types
-
-
-def create_response(
-    part: Optional[genai_types.Part] = None,
-    parts: Optional[list[genai_types.Part]] = None,
-    content: Optional[genai_types.Content] = None,
-    candidate: Optional[genai_types.Candidate] = None,
-    candidates: Optional[list[genai_types.Candidate]] = None,
-    text: Optional[str] = None,
-    input_tokens: Optional[int] = None,
-    output_tokens: Optional[int] = None,
-    model_version: Optional[str] = None,
-    usage_metadata: Optional[
-        genai_types.GenerateContentResponseUsageMetadata
-    ] = None,
-    **kwargs,
-) -> genai_types.GenerateContentResponse:
-    # Build up the "candidates" subfield
-    if text is None:
-        text = "Some response text"
-    if part is None:
-        part = genai_types.Part(text=text)
-    if parts is None:
-        parts = [part]
-    if content is None:
-        content = genai_types.Content(parts=parts, role="model")
-    if candidate is None:
-        candidate = genai_types.Candidate(content=content)
-    if candidates is None:
-        candidates = [candidate]
-
-    # Build up the "usage_metadata" subfield
-    if usage_metadata is None:
-        usage_metadata = genai_types.GenerateContentResponseUsageMetadata()
-    if input_tokens is not None:
-        usage_metadata.prompt_token_count = input_tokens
-    if output_tokens is not None:
-        usage_metadata.candidates_token_count = output_tokens
-    return genai_types.GenerateContentResponse(
-        candidates=candidates,
-        usage_metadata=usage_metadata,
-        model_version=model_version,
-        **kwargs,
-    )
-
-
-def convert_to_response(
-    arg: Union[str, genai_types.GenerateContentResponse, dict],
-) -> genai_types.GenerateContentResponse:
-    if isinstance(arg, str):
-        return create_response(text=arg)
-    if isinstance(arg, genai_types.GenerateContentResponse):
-        return arg
-    if isinstance(arg, dict):
-        return create_response(**arg)
-    raise ValueError(
-        f"Unsure how to convert {arg} of type {arg.__class__.__name__} to response."
-    )
+def create_valid_response(
+    response_text="The model response", input_tokens=10, output_tokens=20
+):
+    return {
+        "modelVersion": "gemini-2.0-flash-test123",
+        "usageMetadata": {
+            "promptTokenCount": input_tokens,
+            "candidatesTokenCount": output_tokens,
+            "totalTokenCount": input_tokens + output_tokens,
+        },
+        "candidates": [
+            {
+                "content": {
+                    "role": "model",
+                    "parts": [
+                        {
+                            "text": response_text,
+                        }
+                    ],
+                }
+            }
+        ],
+    }

instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/requirements.oldest.txt

@@ -21,10 +21,10 @@ pytest-vcr==1.0.2
 
 google-auth==2.15.0
 google-genai==1.0.0
-opentelemetry-api==1.31.1
-opentelemetry-sdk==1.31.1
-opentelemetry-semantic-conventions==0.52b1
-opentelemetry-instrumentation==0.52b1
+opentelemetry-api==1.30.0
+opentelemetry-sdk==1.30.0
+opentelemetry-semantic-conventions==0.51b0
+opentelemetry-instrumentation==0.51b0
 
 # Install locally from the folder. This path is relative to the
 # root directory, given invocation from "tox" at root level.

instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/utils/test_allowlist_util.py

@@ -1,162 +0,0 @@
-# Copyright The OpenTelemetry Authors
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import os
-from unittest import mock
-
-from opentelemetry.instrumentation.google_genai.allowlist_util import AllowList
-
-
-def test_empty_allowlist_allows_nothing():
-    allow_list = AllowList()
-    assert not allow_list.allowed("")
-    assert not allow_list.allowed("foo")
-    assert not allow_list.allowed("bar")
-    assert not allow_list.allowed("baz")
-    assert not allow_list.allowed("anything at all")
-
-
-def test_simple_include_allow_list():
-    allow_list = AllowList(includes=["abc", "xyz"])
-    assert allow_list.allowed("abc")
-    assert not allow_list.allowed("abc.xyz")
-    assert allow_list.allowed("xyz")
-    assert not allow_list.allowed("blah")
-    assert not allow_list.allowed("other value not in includes")
-
-
-def test_allow_list_with_prefix_matching():
-    allow_list = AllowList(includes=["abc.*", "xyz"])
-    assert not allow_list.allowed("abc")
-    assert allow_list.allowed("abc.foo")
-    assert allow_list.allowed("abc.bar")
-    assert allow_list.allowed("xyz")
-    assert not allow_list.allowed("blah")
-    assert not allow_list.allowed("other value not in includes")
-
-
-def test_allow_list_with_array_wildcard_matching():
-    allow_list = AllowList(includes=["abc[*].foo", "xyz[*].*"])
-    assert not allow_list.allowed("abc")
-    assert allow_list.allowed("abc[0].foo")
-    assert not allow_list.allowed("abc[0].bar")
-    assert allow_list.allowed("abc[1].foo")
-    assert allow_list.allowed("xyz[0].blah")
-    assert allow_list.allowed("xyz[1].yadayada")
-    assert not allow_list.allowed("blah")
-    assert not allow_list.allowed("other value not in includes")
-
-
-def test_includes_and_excludes():
-    allow_list = AllowList(includes=["abc", "xyz"], excludes=["xyz"])
-    assert allow_list.allowed("abc")
-    assert not allow_list.allowed("xyz")
-    assert not allow_list.allowed("blah")
-    assert not allow_list.allowed("other value not in includes")
-
-
-def test_includes_and_excludes_with_wildcards():
-    allow_list = AllowList(
-        includes=["abc", "xyz", "xyz.*"], excludes=["xyz.foo", "xyz.foo.*"]
-    )
-    assert allow_list.allowed("abc")
-    assert allow_list.allowed("xyz")
-    assert not allow_list.allowed("xyz.foo")
-    assert not allow_list.allowed("xyz.foo.bar")
-    assert not allow_list.allowed("xyz.foo.baz")
-    assert allow_list.allowed("xyz.not_foo")
-    assert allow_list.allowed("xyz.blah")
-    assert not allow_list.allowed("blah")
-    assert not allow_list.allowed("other value not in includes")
-
-
-def test_default_include_with_excludes():
-    allow_list = AllowList(includes=["*"], excludes=["foo", "bar"])
-    assert not allow_list.allowed("foo")
-    assert not allow_list.allowed("bar")
-    assert allow_list.allowed("abc")
-    assert allow_list.allowed("xyz")
-    assert allow_list.allowed("blah")
-    assert allow_list.allowed("other value not in includes")
-
-
-def test_default_exclude_with_includes():
-    allow_list = AllowList(includes=["foo", "bar"], excludes=["*"])
-    assert allow_list.allowed("foo")
-    assert allow_list.allowed("bar")
-    assert not allow_list.allowed("abc")
-    assert not allow_list.allowed("xyz")
-    assert not allow_list.allowed("blah")
-    assert not allow_list.allowed("other value not in includes")
-
-
-@mock.patch.dict(os.environ, {"TEST_ALLOW_LIST_INCLUDE_KEYS": "abc,xyz"})
-def test_can_load_from_env_with_just_include_list():
-    allow_list = AllowList.from_env("TEST_ALLOW_LIST_INCLUDE_KEYS")
-    assert allow_list.allowed("abc")
-    assert allow_list.allowed("xyz")
-    assert not allow_list.allowed("blah")
-    assert not allow_list.allowed("other value not in includes")
-
-
-@mock.patch.dict(
-    os.environ, {"TEST_ALLOW_LIST_INCLUDE_KEYS": " abc , , xyz ,"}
-)
-def test_can_handle_spaces_and_empty_entries():
-    allow_list = AllowList.from_env("TEST_ALLOW_LIST_INCLUDE_KEYS")
-    assert allow_list.allowed("abc")
-    assert allow_list.allowed("xyz")
-    assert not allow_list.allowed("")
-    assert not allow_list.allowed(",")
-    assert not allow_list.allowed("blah")
-    assert not allow_list.allowed("other value not in includes")
-
-
-@mock.patch.dict(
-    os.environ,
-    {
-        "TEST_ALLOW_LIST_INCLUDE_KEYS": "abc,xyz",
-        "TEST_ALLOW_LIST_EXCLUDE_KEYS": "xyz, foo, bar",
-    },
-)
-def test_can_load_from_env_with_includes_and_excludes():
-    allow_list = AllowList.from_env(
-        "TEST_ALLOW_LIST_INCLUDE_KEYS",
-        excludes_env_var="TEST_ALLOW_LIST_EXCLUDE_KEYS",
-    )
-    assert allow_list.allowed("abc")
-    assert not allow_list.allowed("xyz")
-    assert not allow_list.allowed("foo")
-    assert not allow_list.allowed("bar")
-    assert not allow_list.allowed("not in the list")
-
-
-@mock.patch.dict(
-    os.environ,
-    {
-        "TEST_ALLOW_LIST_INCLUDE_KEYS": "*",
-        "TEST_ALLOW_LIST_EXCLUDE_KEYS": "xyz, foo, bar",
-    },
-)
-def test_supports_wildcards_in_loading_from_env():
-    allow_list = AllowList.from_env(
-        "TEST_ALLOW_LIST_INCLUDE_KEYS",
-        excludes_env_var="TEST_ALLOW_LIST_EXCLUDE_KEYS",
-    )
-    assert allow_list.allowed("abc")
-    assert not allow_list.allowed("xyz")
-    assert not allow_list.allowed("foo")
-    assert not allow_list.allowed("bar")
-    assert allow_list.allowed("blah")
-    assert allow_list.allowed("not in the list")

instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/utils/test_dict_util.py

@@ -1,357 +0,0 @@
-# Copyright The OpenTelemetry Authors
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from pydantic import BaseModel
-
-from opentelemetry.instrumentation.google_genai import dict_util
-
-
-class PydanticModel(BaseModel):
-    """Used to verify handling of pydantic models in the flattener."""
-
-    str_value: str = ""
-    int_value: int = 0
-
-
-class ModelDumpableNotPydantic:
-    """Used to verify general handling of 'model_dump'."""
-
-    def __init__(self, dump_output):
-        self._dump_output = dump_output
-
-    def model_dump(self):
-        return self._dump_output
-
-
-class NotJsonSerializable:
-    def __init__(self):
-        pass
-
-
-def test_flatten_empty_dict():
-    input_dict = {}
-    output_dict = dict_util.flatten_dict(input_dict)
-    assert output_dict is not None
-    assert isinstance(output_dict, dict)
-    assert not output_dict
-
-
-def test_flatten_simple_dict():
-    input_dict = {
-        "int_key": 1,
-        "string_key": "somevalue",
-        "float_key": 3.14,
-        "bool_key": True,
-    }
-    assert dict_util.flatten_dict(input_dict) == input_dict
-
-
-def test_flatten_nested_dict():
-    input_dict = {
-        "int_key": 1,
-        "string_key": "somevalue",
-        "float_key": 3.14,
-        "bool_key": True,
-        "object_key": {
-            "nested": {
-                "foo": 1,
-                "bar": "baz",
-            },
-            "qux": 54321,
-        },
-    }
-    assert dict_util.flatten_dict(input_dict) == {
-        "int_key": 1,
-        "string_key": "somevalue",
-        "float_key": 3.14,
-        "bool_key": True,
-        "object_key.nested.foo": 1,
-        "object_key.nested.bar": "baz",
-        "object_key.qux": 54321,
-    }
-
-
-def test_flatten_with_key_exclusion():
-    input_dict = {
-        "int_key": 1,
-        "string_key": "somevalue",
-        "float_key": 3.14,
-        "bool_key": True,
-    }
-    output = dict_util.flatten_dict(input_dict, exclude_keys=["int_key"])
-    assert "int_key" not in output
-    assert output == {
-        "string_key": "somevalue",
-        "float_key": 3.14,
-        "bool_key": True,
-    }
-
-
-def test_flatten_with_renaming():
-    input_dict = {
-        "int_key": 1,
-        "string_key": "somevalue",
-        "float_key": 3.14,
-        "bool_key": True,
-    }
-    output = dict_util.flatten_dict(
-        input_dict, rename_keys={"float_key": "math_key"}
-    )
-    assert "float_key" not in output
-    assert "math_key" in output
-    assert output == {
-        "int_key": 1,
-        "string_key": "somevalue",
-        "math_key": 3.14,
-        "bool_key": True,
-    }
-
-
-def test_flatten_with_prefixing():
-    input_dict = {
-        "int_key": 1,
-        "string_key": "somevalue",
-        "float_key": 3.14,
-        "bool_key": True,
-    }
-    output = dict_util.flatten_dict(input_dict, key_prefix="someprefix")
-    assert output == {
-        "someprefix.int_key": 1,
-        "someprefix.string_key": "somevalue",
-        "someprefix.float_key": 3.14,
-        "someprefix.bool_key": True,
-    }
-
-
-def test_flatten_with_custom_flatten_func():
-    def summarize_int_list(key, value, **kwargs):
-        total = 0
-        for item in value:
-            total += item
-        avg = total / len(value)
-        return f"{len(value)} items (total: {total}, average: {avg})"
-
-    flatten_functions = {"some.deeply.nested.key": summarize_int_list}
-    input_dict = {
-        "some": {
-            "deeply": {
-                "nested": {
-                    "key": [1, 2, 3, 4, 5, 6, 7, 8, 9],
-                },
-            },
-        },
-        "other": [1, 2, 3, 4, 5, 6, 7, 8, 9],
-    }
-    output = dict_util.flatten_dict(
-        input_dict, flatten_functions=flatten_functions
-    )
-    assert output == {
-        "some.deeply.nested.key": "9 items (total: 45, average: 5.0)",
-        "other": [1, 2, 3, 4, 5, 6, 7, 8, 9],
-    }
-
-
-def test_flatten_with_pydantic_model_value():
-    input_dict = {
-        "foo": PydanticModel(str_value="bar", int_value=123),
-    }
-
-    output = dict_util.flatten_dict(input_dict)
-    assert output == {
-        "foo.str_value": "bar",
-        "foo.int_value": 123,
-    }
-
-
-def test_flatten_with_model_dumpable_value():
-    input_dict = {
-        "foo": ModelDumpableNotPydantic(
-            {
-                "str_value": "bar",
-                "int_value": 123,
-            }
-        ),
-    }
-
-    output = dict_util.flatten_dict(input_dict)
-    assert output == {
-        "foo.str_value": "bar",
-        "foo.int_value": 123,
-    }
-
-
-def test_flatten_with_mixed_structures():
-    input_dict = {
-        "foo": ModelDumpableNotPydantic(
-            {
-                "pydantic": PydanticModel(str_value="bar", int_value=123),
-            }
-        ),
-    }
-
-    output = dict_util.flatten_dict(input_dict)
-    assert output == {
-        "foo.pydantic.str_value": "bar",
-        "foo.pydantic.int_value": 123,
-    }
-
-
-def test_converts_tuple_with_json_fallback():
-    input_dict = {
-        "foo": ("abc", 123),
-    }
-    output = dict_util.flatten_dict(input_dict)
-    assert output == {
-        "foo.length": 2,
-        "foo[0]": "abc",
-        "foo[1]": 123,
-    }
-
-
-def test_json_conversion_handles_unicode():
-    input_dict = {
-        "foo": ("❤️", 123),
-    }
-    output = dict_util.flatten_dict(input_dict)
-    assert output == {
-        "foo.length": 2,
-        "foo[0]": "❤️",
-        "foo[1]": 123,
-    }
-
-
-def test_flatten_with_complex_object_not_json_serializable():
-    result = dict_util.flatten_dict(
-        {
-            "cannot_serialize_directly": NotJsonSerializable(),
-        }
-    )
-    assert result is not None
-    assert isinstance(result, dict)
-    assert len(result) == 0
-
-
-def test_flatten_good_with_non_serializable_complex_object():
-    result = dict_util.flatten_dict(
-        {
-            "foo": {
-                "bar": "blah",
-                "baz": 5,
-            },
-            "cannot_serialize_directly": NotJsonSerializable(),
-        }
-    )
-    assert result == {
-        "foo.bar": "blah",
-        "foo.baz": 5,
-    }
-
-
-def test_flatten_with_complex_object_not_json_serializable_and_custom_flatten_func():
-    def flatten_not_json_serializable(key, value, **kwargs):
-        assert isinstance(value, NotJsonSerializable)
-        return "blah"
-
-    output = dict_util.flatten_dict(
-        {
-            "cannot_serialize_directly": NotJsonSerializable(),
-        },
-        flatten_functions={
-            "cannot_serialize_directly": flatten_not_json_serializable,
-        },
-    )
-    assert output == {
-        "cannot_serialize_directly": "blah",
-    }
-
-
-def test_flatten_simple_homogenous_primitive_string_list():
-    input_dict = {"list_value": ["abc", "def"]}
-    assert dict_util.flatten_dict(input_dict) == input_dict
-
-
-def test_flatten_simple_homogenous_primitive_int_list():
-    input_dict = {"list_value": [123, 456]}
-    assert dict_util.flatten_dict(input_dict) == input_dict
-
-
-def test_flatten_simple_homogenous_primitive_bool_list():
-    input_dict = {"list_value": [True, False]}
-    assert dict_util.flatten_dict(input_dict) == input_dict
-
-
-def test_flatten_simple_heterogenous_primitive_list():
-    input_dict = {"list_value": ["abc", 123]}
-    assert dict_util.flatten_dict(input_dict) == {
-        "list_value.length": 2,
-        "list_value[0]": "abc",
-        "list_value[1]": 123,
-    }
-
-
-def test_flatten_list_of_compound_types():
-    input_dict = {
-        "list_value": [
-            {"a": 1, "b": 2},
-            {"x": 100, "y": 123, "z": 321},
-            "blah",
-            [
-                "abc",
-                123,
-            ],
-        ]
-    }
-    assert dict_util.flatten_dict(input_dict) == {
-        "list_value.length": 4,
-        "list_value[0].a": 1,
-        "list_value[0].b": 2,
-        "list_value[1].x": 100,
-        "list_value[1].y": 123,
-        "list_value[1].z": 321,
-        "list_value[2]": "blah",
-        "list_value[3].length": 2,
-        "list_value[3][0]": "abc",
-        "list_value[3][1]": 123,
-    }
-
-
-def test_handles_simple_output_from_flatten_func():
-    def f(*args, **kwargs):
-        return "baz"
-
-    input_dict = {
-        "foo": PydanticModel(),
-    }
-
-    output = dict_util.flatten_dict(input_dict, flatten_functions={"foo": f})
-
-    assert output == {
-        "foo": "baz",
-    }
-
-
-def test_handles_compound_output_from_flatten_func():
-    def f(*args, **kwargs):
-        return {"baz": 123, "qux": 456}
-
-    input_dict = {
-        "foo": PydanticModel(),
-    }
-
-    output = dict_util.flatten_dict(input_dict, flatten_functions={"foo": f})
-
-    assert output == {
-        "foo.baz": 123,
-        "foo.qux": 456,
-    }

instrumentation-genai/opentelemetry-instrumentation-google-genai/tests/utils/test_tool_call_wrapper.py

@@ -1,280 +0,0 @@
-# Copyright The OpenTelemetry Authors
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import asyncio
-import unittest
-from unittest.mock import patch
-
-from google.genai import types as genai_types
-
-from opentelemetry._events import get_event_logger_provider
-from opentelemetry.instrumentation.google_genai import (
-    otel_wrapper,
-    tool_call_wrapper,
-)
-from opentelemetry.metrics import get_meter_provider
-from opentelemetry.trace import get_tracer_provider
-
-from ..common import otel_mocker
-
-
-class TestCase(unittest.TestCase):
-    def setUp(self):
-        self._otel = otel_mocker.OTelMocker()
-        self._otel.install()
-        self._otel_wrapper = otel_wrapper.OTelWrapper.from_providers(
-            get_tracer_provider(),
-            get_event_logger_provider(),
-            get_meter_provider(),
-        )
-
-    @property
-    def otel(self):
-        return self._otel
-
-    @property
-    def otel_wrapper(self):
-        return self._otel_wrapper
-
-    def wrap(self, tool_or_tools, **kwargs):
-        return tool_call_wrapper.wrapped(
-            tool_or_tools, self.otel_wrapper, **kwargs
-        )
-
-    def test_wraps_none(self):
-        result = self.wrap(None)
-        self.assertIsNone(result)
-
-    def test_wraps_single_tool_function(self):
-        def somefunction():
-            pass
-
-        wrapped_somefunction = self.wrap(somefunction)
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        somefunction()
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        wrapped_somefunction()
-        self.otel.assert_has_span_named("execute_tool somefunction")
-        span = self.otel.get_span_named("execute_tool somefunction")
-        self.assertEqual(
-            span.attributes["gen_ai.operation.name"], "execute_tool"
-        )
-        self.assertEqual(span.attributes["gen_ai.tool.name"], "somefunction")
-
-    def test_wraps_multiple_tool_functions_as_list(self):
-        def somefunction():
-            pass
-
-        def otherfunction():
-            pass
-
-        wrapped_functions = self.wrap([somefunction, otherfunction])
-        wrapped_somefunction = wrapped_functions[0]
-        wrapped_otherfunction = wrapped_functions[1]
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        self.otel.assert_does_not_have_span_named("execute_tool otherfunction")
-        somefunction()
-        otherfunction()
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        self.otel.assert_does_not_have_span_named("execute_tool otherfunction")
-        wrapped_somefunction()
-        self.otel.assert_has_span_named("execute_tool somefunction")
-        self.otel.assert_does_not_have_span_named("execute_tool otherfunction")
-        wrapped_otherfunction()
-        self.otel.assert_has_span_named("execute_tool otherfunction")
-
-    def test_wraps_multiple_tool_functions_as_dict(self):
-        def somefunction():
-            pass
-
-        def otherfunction():
-            pass
-
-        wrapped_functions = self.wrap(
-            {"somefunction": somefunction, "otherfunction": otherfunction}
-        )
-        wrapped_somefunction = wrapped_functions["somefunction"]
-        wrapped_otherfunction = wrapped_functions["otherfunction"]
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        self.otel.assert_does_not_have_span_named("execute_tool otherfunction")
-        somefunction()
-        otherfunction()
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        self.otel.assert_does_not_have_span_named("execute_tool otherfunction")
-        wrapped_somefunction()
-        self.otel.assert_has_span_named("execute_tool somefunction")
-        self.otel.assert_does_not_have_span_named("execute_tool otherfunction")
-        wrapped_otherfunction()
-        self.otel.assert_has_span_named("execute_tool otherfunction")
-
-    def test_wraps_async_tool_function(self):
-        async def somefunction():
-            pass
-
-        wrapped_somefunction = self.wrap(somefunction)
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        asyncio.run(somefunction())
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        asyncio.run(wrapped_somefunction())
-        self.otel.assert_has_span_named("execute_tool somefunction")
-
-    def test_preserves_tool_dict(self):
-        tool_dict = genai_types.ToolDict()
-        wrapped_tool_dict = self.wrap(tool_dict)
-        self.assertEqual(tool_dict, wrapped_tool_dict)
-
-    def test_does_not_have_description_if_no_doc_string(self):
-        def somefunction():
-            pass
-
-        wrapped_somefunction = self.wrap(somefunction)
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        somefunction()
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        wrapped_somefunction()
-        self.otel.assert_has_span_named("execute_tool somefunction")
-        span = self.otel.get_span_named("execute_tool somefunction")
-        self.assertNotIn("gen_ai.tool.description", span.attributes)
-
-    def test_has_description_if_doc_string_present(self):
-        def somefunction():
-            """An example tool call function."""
-
-        wrapped_somefunction = self.wrap(somefunction)
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        somefunction()
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        wrapped_somefunction()
-        self.otel.assert_has_span_named("execute_tool somefunction")
-        span = self.otel.get_span_named("execute_tool somefunction")
-        self.assertEqual(
-            span.attributes["gen_ai.tool.description"],
-            "An example tool call function.",
-        )
-
-    @patch.dict(
-        "os.environ",
-        {"OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "true"},
-    )
-    def test_handles_primitive_int_arg(self):
-        def somefunction(arg=None):
-            pass
-
-        wrapped_somefunction = self.wrap(somefunction)
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        somefunction(12345)
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        wrapped_somefunction(12345)
-        self.otel.assert_has_span_named("execute_tool somefunction")
-        span = self.otel.get_span_named("execute_tool somefunction")
-        self.assertEqual(
-            span.attributes["code.function.parameters.arg.type"], "int"
-        )
-        self.assertEqual(
-            span.attributes["code.function.parameters.arg.value"], 12345
-        )
-
-    @patch.dict(
-        "os.environ",
-        {"OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "true"},
-    )
-    def test_handles_primitive_string_arg(self):
-        def somefunction(arg=None):
-            pass
-
-        wrapped_somefunction = self.wrap(somefunction)
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        somefunction("a string value")
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        wrapped_somefunction("a string value")
-        self.otel.assert_has_span_named("execute_tool somefunction")
-        span = self.otel.get_span_named("execute_tool somefunction")
-        self.assertEqual(
-            span.attributes["code.function.parameters.arg.type"], "str"
-        )
-        self.assertEqual(
-            span.attributes["code.function.parameters.arg.value"],
-            "a string value",
-        )
-
-    @patch.dict(
-        "os.environ",
-        {"OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "true"},
-    )
-    def test_handles_dict_arg(self):
-        def somefunction(arg=None):
-            pass
-
-        wrapped_somefunction = self.wrap(somefunction)
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        somefunction({"key": "value"})
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        wrapped_somefunction({"key": "value"})
-        self.otel.assert_has_span_named("execute_tool somefunction")
-        span = self.otel.get_span_named("execute_tool somefunction")
-        self.assertEqual(
-            span.attributes["code.function.parameters.arg.type"], "dict"
-        )
-        self.assertEqual(
-            span.attributes["code.function.parameters.arg.value"],
-            '{"key": "value"}',
-        )
-
-    @patch.dict(
-        "os.environ",
-        {"OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "true"},
-    )
-    def test_handles_primitive_list_arg(self):
-        def somefunction(arg=None):
-            pass
-
-        wrapped_somefunction = self.wrap(somefunction)
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        somefunction([1, 2, 3])
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        wrapped_somefunction([1, 2, 3])
-        self.otel.assert_has_span_named("execute_tool somefunction")
-        span = self.otel.get_span_named("execute_tool somefunction")
-        self.assertEqual(
-            span.attributes["code.function.parameters.arg.type"], "list"
-        )
-        # A conversion is required here, because the Open Telemetry code converts the
-        # list into a tuple. (But this conversion isn't happening in "tool_call_wrapper.py").
-        self.assertEqual(
-            list(span.attributes["code.function.parameters.arg.value"]),
-            [1, 2, 3],
-        )
-
-    @patch.dict(
-        "os.environ",
-        {"OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "true"},
-    )
-    def test_handles_heterogenous_list_arg(self):
-        def somefunction(arg=None):
-            pass
-
-        wrapped_somefunction = self.wrap(somefunction)
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        somefunction([123, "abc"])
-        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
-        wrapped_somefunction([123, "abc"])
-        self.otel.assert_has_span_named("execute_tool somefunction")
-        span = self.otel.get_span_named("execute_tool somefunction")
-        self.assertEqual(
-            span.attributes["code.function.parameters.arg.type"], "list"
-        )
-        self.assertEqual(
-            span.attributes["code.function.parameters.arg.value"],
-            '[123, "abc"]',
-        )

instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/manual/requirements.txt

@@ -2,4 +2,4 @@ openai~=1.57.3
 
 opentelemetry-sdk~=1.30.0
 opentelemetry-exporter-otlp-proto-grpc~=1.30.0
-opentelemetry-instrumentation-openai-v2~=2.1b0
+opentelemetry-instrumentation-openai-v2~=2.2b0

instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/zero-code/requirements.txt

@@ -3,4 +3,4 @@ openai~=1.57.3
 opentelemetry-sdk~=1.30.0
 opentelemetry-exporter-otlp-proto-grpc~=1.30.0
 opentelemetry-distro~=0.51b0
-opentelemetry-instrumentation-openai-v2~=2.1b0
+opentelemetry-instrumentation-openai-v2~=2.2b0

instrumentation-genai/opentelemetry-instrumentation-openai-v2/pyproject.toml

@@ -8,7 +8,7 @@ dynamic = ["version"]
 description = "OpenTelemetry Official OpenAI instrumentation"
 readme = "README.rst"
 license = "Apache-2.0"
-requires-python = ">=3.9"
+requires-python = ">=3.8"
 authors = [
   { name = "OpenTelemetry Authors", email = "cncf-opentelemetry-contributors@lists.cncf.io" },
 ]
@@ -18,6 +18,7 @@ classifiers = [
   "License :: OSI Approved :: Apache Software License",
   "Programming Language :: Python",
   "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3.8",
   "Programming Language :: Python :: 3.9",
   "Programming Language :: Python :: 3.10",
   "Programming Language :: Python :: 3.11",

instrumentation-genai/opentelemetry-instrumentation-openai-v2/src/opentelemetry/instrumentation/openai_v2/package.py

@@ -14,5 +14,3 @@
 
 
 _instruments = ("openai >= 1.26.0",)
-
-_supports_metrics = True

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

@@ -7,11 +7,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## Unreleased
 
-- Implement uninstrument for `opentelemetry-instrumentation-vertexai`
-  ([#3328](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3328))
-- VertexAI support for async calling
-  ([#3386](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3386))
-
 ## Version 2.0b0 (2025-02-24)
 
 - Added Vertex AI spans for request parameters

instrumentation-genai/opentelemetry-instrumentation-vertexai/pyproject.toml

@@ -8,7 +8,7 @@ dynamic = ["version"]
 description = "OpenTelemetry Official VertexAI instrumentation"
 readme = "README.rst"
 license = "Apache-2.0"
-requires-python = ">=3.9"
+requires-python = ">=3.8"
 authors = [
   { name = "OpenTelemetry Authors", email = "cncf-opentelemetry-contributors@lists.cncf.io" },
 ]
@@ -18,6 +18,7 @@ classifiers = [
   "License :: OSI Approved :: Apache Software License",
   "Programming Language :: Python",
   "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3.8",
   "Programming Language :: Python :: 3.9",
   "Programming Language :: Python :: 3.10",
   "Programming Language :: Python :: 3.11",

instrumentation-genai/opentelemetry-instrumentation-vertexai/src/opentelemetry/instrumentation/vertexai/__init__.py

@@ -39,8 +39,6 @@ API
 ---
 """
 
-from __future__ import annotations
-
 from typing import Any, Collection
 
 from wrapt import (
@@ -49,56 +47,16 @@ from wrapt import (
 
 from opentelemetry._events import get_event_logger
 from opentelemetry.instrumentation.instrumentor import BaseInstrumentor
-from opentelemetry.instrumentation.utils import unwrap
 from opentelemetry.instrumentation.vertexai.package import _instruments
-from opentelemetry.instrumentation.vertexai.patch import MethodWrappers
+from opentelemetry.instrumentation.vertexai.patch import (
+    generate_content_create,
+)
 from opentelemetry.instrumentation.vertexai.utils import is_content_enabled
 from opentelemetry.semconv.schemas import Schemas
 from opentelemetry.trace import get_tracer
 
 
-def _methods_to_wrap(
-    method_wrappers: MethodWrappers,
-):
-    # This import is very slow, do it lazily in case instrument() is not called
-    # pylint: disable=import-outside-toplevel
-    from google.cloud.aiplatform_v1.services.prediction_service import (
-        async_client,
-        client,
-    )
-    from google.cloud.aiplatform_v1beta1.services.prediction_service import (
-        async_client as async_client_v1beta1,
-    )
-    from google.cloud.aiplatform_v1beta1.services.prediction_service import (
-        client as client_v1beta1,
-    )
-
-    for client_class in (
-        client.PredictionServiceClient,
-        client_v1beta1.PredictionServiceClient,
-    ):
-        yield (
-            client_class,
-            client_class.generate_content.__name__,  # type: ignore[reportUnknownMemberType]
-            method_wrappers.generate_content,
-        )
-
-    for client_class in (
-        async_client.PredictionServiceAsyncClient,
-        async_client_v1beta1.PredictionServiceAsyncClient,
-    ):
-        yield (
-            client_class,
-            client_class.generate_content.__name__,  # type: ignore[reportUnknownMemberType]
-            method_wrappers.agenerate_content,
-        )
-
-
 class VertexAIInstrumentor(BaseInstrumentor):
-    def __init__(self) -> None:
-        super().__init__()
-        self._methods_to_unwrap: list[tuple[Any, str]] = []
-
     def instrumentation_dependencies(self) -> Collection[str]:
         return _instruments
 
@@ -119,19 +77,20 @@ class VertexAIInstrumentor(BaseInstrumentor):
             event_logger_provider=event_logger_provider,
         )
 
-        method_wrappers = MethodWrappers(
-            tracer, event_logger, is_content_enabled()
+        wrap_function_wrapper(
+            module="google.cloud.aiplatform_v1beta1.services.prediction_service.client",
+            name="PredictionServiceClient.generate_content",
+            wrapper=generate_content_create(
+                tracer, event_logger, is_content_enabled()
+            ),
+        )
+        wrap_function_wrapper(
+            module="google.cloud.aiplatform_v1.services.prediction_service.client",
+            name="PredictionServiceClient.generate_content",
+            wrapper=generate_content_create(
+                tracer, event_logger, is_content_enabled()
+            ),
         )
-        for client_class, method_name, wrapper in _methods_to_wrap(
-            method_wrappers
-        ):
-            wrap_function_wrapper(
-                client_class,
-                name=method_name,
-                wrapper=wrapper,
-            )
-            self._methods_to_unwrap.append((client_class, method_name))
 
     def _uninstrument(self, **kwargs: Any) -> None:
-        for client_class, method_name in self._methods_to_unwrap:
-            unwrap(client_class, method_name)
+        """TODO: implemented in later PR"""

instrumentation-genai/opentelemetry-instrumentation-vertexai/src/opentelemetry/instrumentation/vertexai/patch.py

@@ -14,11 +14,9 @@
 
 from __future__ import annotations
 
-from contextlib import contextmanager
 from typing import (
     TYPE_CHECKING,
     Any,
-    Awaitable,
     Callable,
     MutableSequence,
 )
@@ -89,17 +87,17 @@ def _extract_params(
     )
 
 
-class MethodWrappers:
-    def __init__(
-        self, tracer: Tracer, event_logger: EventLogger, capture_content: bool
-    ) -> None:
-        self.tracer = tracer
-        self.event_logger = event_logger
-        self.capture_content = capture_content
+def generate_content_create(
+    tracer: Tracer, event_logger: EventLogger, capture_content: bool
+):
+    """Wrap the `generate_content` method of the `GenerativeModel` class to trace it."""
 
-    @contextmanager
-    def _with_instrumentation(
-        self,
+    def traced_method(
+        wrapped: Callable[
+            ...,
+            prediction_service.GenerateContentResponse
+            | prediction_service_v1beta1.GenerateContentResponse,
+        ],
         instance: client.PredictionServiceClient
         | client_v1beta1.PredictionServiceClient,
         args: Any,
@@ -113,82 +111,32 @@ class MethodWrappers:
         }
 
         span_name = get_span_name(span_attributes)
-
-        with self.tracer.start_as_current_span(
+        with tracer.start_as_current_span(
             name=span_name,
             kind=SpanKind.CLIENT,
             attributes=span_attributes,
         ) as span:
             for event in request_to_events(
-                params=params, capture_content=self.capture_content
+                params=params, capture_content=capture_content
             ):
-                self.event_logger.emit(event)
+                event_logger.emit(event)
 
             # TODO: set error.type attribute
             # https://github.com/open-telemetry/semantic-conventions/blob/main/docs/gen-ai/gen-ai-spans.md
-
-            def handle_response(
-                response: prediction_service.GenerateContentResponse
-                | prediction_service_v1beta1.GenerateContentResponse,
-            ) -> None:
-                if span.is_recording():
-                    # When streaming, this is called multiple times so attributes would be
-                    # overwritten. In practice, it looks the API only returns the interesting
-                    # attributes on the last streamed response. However, I couldn't find
-                    # documentation for this and setting attributes shouldn't be too expensive.
-                    span.set_attributes(
-                        get_genai_response_attributes(response)
-                    )
-
-                for event in response_to_events(
-                    response=response, capture_content=self.capture_content
-                ):
-                    self.event_logger.emit(event)
-
-            yield handle_response
-
-    def generate_content(
-        self,
-        wrapped: Callable[
-            ...,
-            prediction_service.GenerateContentResponse
-            | prediction_service_v1beta1.GenerateContentResponse,
-        ],
-        instance: client.PredictionServiceClient
-        | client_v1beta1.PredictionServiceClient,
-        args: Any,
-        kwargs: Any,
-    ) -> (
-        prediction_service.GenerateContentResponse
-        | prediction_service_v1beta1.GenerateContentResponse
-    ):
-        with self._with_instrumentation(
-            instance, args, kwargs
-        ) as handle_response:
             response = wrapped(*args, **kwargs)
-            handle_response(response)
+            # TODO: handle streaming
+            # if is_streaming(kwargs):
+            #     return StreamWrapper(
+            #         result, span, event_logger, capture_content
+            #     )
+
+            if span.is_recording():
+                span.set_attributes(get_genai_response_attributes(response))
+            for event in response_to_events(
+                response=response, capture_content=capture_content
+            ):
+                event_logger.emit(event)
+
             return response
 
-    async def agenerate_content(
-        self,
-        wrapped: Callable[
-            ...,
-            Awaitable[
-                prediction_service.GenerateContentResponse
-                | prediction_service_v1beta1.GenerateContentResponse
-            ],
-        ],
-        instance: client.PredictionServiceClient
-        | client_v1beta1.PredictionServiceClient,
-        args: Any,
-        kwargs: Any,
-    ) -> (
-        prediction_service.GenerateContentResponse
-        | prediction_service_v1beta1.GenerateContentResponse
-    ):
-        with self._with_instrumentation(
-            instance, args, kwargs
-        ) as handle_response:
-            response = await wrapped(*args, **kwargs)
-            handle_response(response)
-            return response
+    return traced_method

instrumentation-genai/opentelemetry-instrumentation-vertexai/src/opentelemetry/instrumentation/vertexai/utils.py

@@ -240,7 +240,7 @@ def request_to_events(
                 id_=f"{function_response.name}_{idx}",
                 role=content.role,
                 content=json_format.MessageToDict(
-                    function_response._pb.response
+                    function_response._pb.response  # type: ignore[reportUnknownMemberType]
                 )
                 if capture_content
                 else None,
@@ -300,7 +300,7 @@ def _extract_tool_calls(
             function=ChoiceToolCall.Function(
                 name=part.function_call.name,
                 arguments=json_format.MessageToDict(
-                    part.function_call._pb.args
+                    part.function_call._pb.args  # type: ignore[reportUnknownMemberType]
                 )
                 if capture_content
                 else None,

instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/conftest.py

@@ -111,8 +111,7 @@ def instrument_no_content(
 
     yield instrumentor
     os.environ.pop(OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT, None)
-    if instrumentor.is_instrumented_by_opentelemetry:
-        instrumentor.uninstrument()
+    instrumentor.uninstrument()
 
 
 @pytest.fixture
@@ -131,8 +130,7 @@ def instrument_with_content(
 
     yield instrumentor
     os.environ.pop(OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT, None)
-    if instrumentor.is_instrumented_by_opentelemetry:
-        instrumentor.uninstrument()
+    instrumentor.uninstrument()
 
 
 @pytest.fixture(scope="module")

instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/requirements.latest.txt

@@ -44,8 +44,8 @@ charset-normalizer==3.4.0
 Deprecated==1.2.15
 docstring_parser==0.16
 exceptiongroup==1.2.2
-google-api-core[grpc, async_rest]==2.23.0
-google-auth[aiohttp]==2.36.0
+google-api-core==2.23.0
+google-auth==2.36.0
 google-cloud-aiplatform==1.79.0
 google-cloud-bigquery==3.27.0
 google-cloud-core==2.4.1

instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/requirements.oldest.txt

@@ -22,8 +22,8 @@ charset-normalizer==3.4.0
 Deprecated==1.2.14
 docstring_parser==0.16
 exceptiongroup==1.2.2
-google-api-core[grpc, async_rest]==2.23.0
-google-auth[aiohttp]==2.36.0
+google-api-core==2.23.0
+google-auth==2.36.0
 google-cloud-aiplatform==1.79.0
 google-cloud-bigquery==3.27.0
 google-cloud-core==2.4.1

instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/test_chat_completions.py

@@ -1,22 +1,7 @@
 from __future__ import annotations
 
-import asyncio
-from typing import (
-    Any,
-    Callable,
-    Generator,
-    Protocol,
-    TypeVar,
-)
-
 import pytest
 from google.api_core.exceptions import BadRequest, NotFound
-from google.auth.aio.credentials import (
-    AnonymousCredentials as AsyncAnonymousCredentials,
-)
-from google.cloud.aiplatform.initializer import _set_async_rest_credentials
-from typing_extensions import Concatenate, ParamSpec
-from vcr import VCR
 from vertexai.generative_models import (
     Content,
     GenerationConfig,
@@ -42,15 +27,13 @@ from opentelemetry.trace import StatusCode
 def test_generate_content(
     span_exporter: InMemorySpanExporter,
     log_exporter: InMemoryLogExporter,
-    generate_content: GenerateContentFixture,
     instrument_with_content: VertexAIInstrumentor,
 ):
     model = GenerativeModel("gemini-1.5-flash-002")
-    generate_content(
-        model,
+    model.generate_content(
         [
             Content(role="user", parts=[Part.from_text("Say this is a test")]),
-        ],
+        ]
     )
 
     # Emits span
@@ -112,15 +95,13 @@ def test_generate_content(
 def test_generate_content_without_events(
     span_exporter: InMemorySpanExporter,
     log_exporter: InMemoryLogExporter,
-    generate_content: GenerateContentFixture,
     instrument_no_content: VertexAIInstrumentor,
 ):
     model = GenerativeModel("gemini-1.5-flash-002")
-    generate_content(
-        model,
+    model.generate_content(
         [
             Content(role="user", parts=[Part.from_text("Say this is a test")]),
-        ],
+        ]
     )
 
     # Emits span
@@ -163,13 +144,11 @@ def test_generate_content_without_events(
 @pytest.mark.vcr
 def test_generate_content_empty_model(
     span_exporter: InMemorySpanExporter,
-    generate_content: GenerateContentFixture,
     instrument_with_content: VertexAIInstrumentor,
 ):
     model = GenerativeModel("")
     try:
-        generate_content(
-            model,
+        model.generate_content(
             [
                 Content(
                     role="user", parts=[Part.from_text("Say this is a test")]
@@ -196,13 +175,11 @@ def test_generate_content_empty_model(
 @pytest.mark.vcr
 def test_generate_content_missing_model(
     span_exporter: InMemorySpanExporter,
-    generate_content: GenerateContentFixture,
     instrument_with_content: VertexAIInstrumentor,
 ):
     model = GenerativeModel("gemini-does-not-exist")
     try:
-        generate_content(
-            model,
+        model.generate_content(
             [
                 Content(
                     role="user", parts=[Part.from_text("Say this is a test")]
@@ -229,14 +206,12 @@ def test_generate_content_missing_model(
 @pytest.mark.vcr
 def test_generate_content_invalid_temperature(
     span_exporter: InMemorySpanExporter,
-    generate_content: GenerateContentFixture,
     instrument_with_content: VertexAIInstrumentor,
 ):
     model = GenerativeModel("gemini-1.5-flash-002")
     try:
         # Temperature out of range causes error
-        generate_content(
-            model,
+        model.generate_content(
             [
                 Content(
                     role="user", parts=[Part.from_text("Say this is a test")]
@@ -264,20 +239,18 @@ def test_generate_content_invalid_temperature(
 @pytest.mark.vcr
 def test_generate_content_invalid_role(
     log_exporter: InMemoryLogExporter,
-    generate_content: GenerateContentFixture,
     instrument_with_content: VertexAIInstrumentor,
 ):
     model = GenerativeModel("gemini-1.5-flash-002")
     try:
         # Fails because role must be "user" or "model"
-        generate_content(
-            model,
+        model.generate_content(
             [
                 Content(
                     role="invalid_role",
                     parts=[Part.from_text("Say this is a test")],
                 )
-            ],
+            ]
         )
     except BadRequest:
         pass
@@ -296,11 +269,7 @@ def test_generate_content_invalid_role(
 
 
 @pytest.mark.vcr()
-def test_generate_content_extra_params(
-    span_exporter,
-    instrument_no_content,
-    generate_content: GenerateContentFixture,
-):
+def test_generate_content_extra_params(span_exporter, instrument_no_content):
     generation_config = GenerationConfig(
         top_k=2,
         top_p=0.95,
@@ -312,8 +281,7 @@ def test_generate_content_extra_params(
         seed=12345,
     )
     model = GenerativeModel("gemini-1.5-flash-002")
-    generate_content(
-        model,
+    model.generate_content(
         [
             Content(role="user", parts=[Part.from_text("Say this is a test")]),
         ],
@@ -356,7 +324,6 @@ def assert_span_error(span: ReadableSpan) -> None:
 @pytest.mark.vcr
 def test_generate_content_all_events(
     log_exporter: InMemoryLogExporter,
-    generate_content: GenerateContentFixture,
     instrument_with_content: VertexAIInstrumentor,
 ):
     generate_content_all_input_events(
@@ -366,7 +333,6 @@ def test_generate_content_all_events(
                 "You are a clever language model"
             ),
         ),
-        generate_content,
         log_exporter,
     )
 
@@ -374,7 +340,6 @@ def test_generate_content_all_events(
 @pytest.mark.vcr
 def test_preview_generate_content_all_input_events(
     log_exporter: InMemoryLogExporter,
-    generate_content: GenerateContentFixture,
     instrument_with_content: VertexAIInstrumentor,
 ):
     generate_content_all_input_events(
@@ -384,14 +349,12 @@ def test_preview_generate_content_all_input_events(
                 "You are a clever language model"
             ),
         ),
-        generate_content,
         log_exporter,
     )
 
 
 def generate_content_all_input_events(
     model: GenerativeModel | PreviewGenerativeModel,
-    generate_content: GenerateContentFixture,
     log_exporter: InMemoryLogExporter,
 ):
     model.generate_content(
@@ -467,53 +430,3 @@ def generate_content_all_input_events(
             "role": "model",
         },
     }
-
-
-_P = ParamSpec("_P")
-_R = TypeVar("_R")
-
-
-def _copy_signature(
-    func_type: Callable[_P, _R],
-) -> Callable[
-    [Callable[..., Any]], Callable[Concatenate[GenerativeModel, _P], _R]
-]:
-    return lambda func: func
-
-
-# Type annotation for fixture to make LSP work properly
-class GenerateContentFixture(Protocol):
-    @_copy_signature(GenerativeModel.generate_content)
-    def __call__(self): ...
-
-
-@pytest.fixture(
-    name="generate_content",
-    params=(
-        pytest.param(False, id="sync"),
-        pytest.param(True, id="async"),
-    ),
-)
-def fixture_generate_content(
-    request: pytest.FixtureRequest,
-    vcr: VCR,
-) -> Generator[GenerateContentFixture, None, None]:
-    """This fixture parameterizes tests that use it to test calling both
-    GenerativeModel.generate_content() and GenerativeModel.generate_content_async().
-    """
-    is_async: bool = request.param
-
-    if is_async:
-        # See
-        # https://github.com/googleapis/python-aiplatform/blob/cb0e5fedbf45cb0531c0b8611fb7fabdd1f57e56/google/cloud/aiplatform/initializer.py#L717-L729
-        _set_async_rest_credentials(credentials=AsyncAnonymousCredentials())
-
-    def wrapper(model: GenerativeModel, *args, **kwargs) -> None:
-        if is_async:
-            return asyncio.run(model.generate_content_async(*args, **kwargs))
-        return model.generate_content(*args, **kwargs)
-
-    with vcr.use_cassette(
-        request.node.originalname, allow_playback_repeats=True
-    ):
-        yield wrapper

instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/test_instrumentor.py

@@ -1,47 +0,0 @@
-# Copyright The OpenTelemetry Authors
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from __future__ import annotations
-
-import pytest
-from google.cloud.aiplatform_v1.services.prediction_service import client
-from google.cloud.aiplatform_v1beta1.services.prediction_service import (
-    client as client_v1beta1,
-)
-
-from opentelemetry.instrumentation.vertexai import VertexAIInstrumentor
-
-
-@pytest.fixture(
-    name="client_class",
-    params=[
-        pytest.param(client.PredictionServiceClient, id="v1"),
-        pytest.param(client_v1beta1.PredictionServiceClient, id="v1beta1"),
-    ],
-)
-def fixture_client_class(request: pytest.FixtureRequest):
-    return request.param
-
-
-def test_instruments(
-    instrument_with_content: VertexAIInstrumentor, client_class
-):
-    assert hasattr(client_class.generate_content, "__wrapped__")
-
-
-def test_uninstruments(
-    instrument_with_content: VertexAIInstrumentor, client_class
-):
-    instrument_with_content.uninstrument()
-    assert not hasattr(client_class.generate_content, "__wrapped__")

instrumentation/README.md

@@ -1,54 +1,53 @@
 
 | Instrumentation | Supported Packages | Metrics support | Semconv status |
 | --------------- | ------------------ | --------------- | -------------- |
-| [opentelemetry-instrumentation-aio-pika](./opentelemetry-instrumentation-aio-pika) | aio_pika >= 7.2.0, < 10.0.0 | No | development
-| [opentelemetry-instrumentation-aiohttp-client](./opentelemetry-instrumentation-aiohttp-client) | aiohttp ~= 3.0 | Yes | migration
-| [opentelemetry-instrumentation-aiohttp-server](./opentelemetry-instrumentation-aiohttp-server) | aiohttp ~= 3.0 | Yes | development
-| [opentelemetry-instrumentation-aiokafka](./opentelemetry-instrumentation-aiokafka) | aiokafka >= 0.8, < 1.0 | No | development
-| [opentelemetry-instrumentation-aiopg](./opentelemetry-instrumentation-aiopg) | aiopg >= 0.13.0, < 2.0.0 | No | development
+| [opentelemetry-instrumentation-aio-pika](./opentelemetry-instrumentation-aio-pika) | aio_pika >= 7.2.0, < 10.0.0 | No | experimental
+| [opentelemetry-instrumentation-aiohttp-client](./opentelemetry-instrumentation-aiohttp-client) | aiohttp ~= 3.0 | No | migration
+| [opentelemetry-instrumentation-aiohttp-server](./opentelemetry-instrumentation-aiohttp-server) | aiohttp ~= 3.0 | No | experimental
+| [opentelemetry-instrumentation-aiokafka](./opentelemetry-instrumentation-aiokafka) | aiokafka >= 0.8, < 1.0 | No | experimental
+| [opentelemetry-instrumentation-aiopg](./opentelemetry-instrumentation-aiopg) | aiopg >= 0.13.0, < 2.0.0 | No | experimental
 | [opentelemetry-instrumentation-asgi](./opentelemetry-instrumentation-asgi) | asgiref ~= 3.0 | Yes | migration
-| [opentelemetry-instrumentation-asyncclick](./opentelemetry-instrumentation-asyncclick) | asyncclick ~= 8.0 | No | development
-| [opentelemetry-instrumentation-asyncio](./opentelemetry-instrumentation-asyncio) | asyncio | No | development
-| [opentelemetry-instrumentation-asyncpg](./opentelemetry-instrumentation-asyncpg) | asyncpg >= 0.12.0 | No | development
-| [opentelemetry-instrumentation-aws-lambda](./opentelemetry-instrumentation-aws-lambda) | aws_lambda | No | development
-| [opentelemetry-instrumentation-boto](./opentelemetry-instrumentation-boto) | boto~=2.0 | No | development
-| [opentelemetry-instrumentation-boto3sqs](./opentelemetry-instrumentation-boto3sqs) | boto3 ~= 1.0 | No | development
-| [opentelemetry-instrumentation-botocore](./opentelemetry-instrumentation-botocore) | botocore ~= 1.0 | No | development
-| [opentelemetry-instrumentation-cassandra](./opentelemetry-instrumentation-cassandra) | cassandra-driver ~= 3.25,scylla-driver ~= 3.25 | No | development
-| [opentelemetry-instrumentation-celery](./opentelemetry-instrumentation-celery) | celery >= 4.0, < 6.0 | No | development
-| [opentelemetry-instrumentation-click](./opentelemetry-instrumentation-click) | click >= 8.1.3, < 9.0.0 | No | development
-| [opentelemetry-instrumentation-confluent-kafka](./opentelemetry-instrumentation-confluent-kafka) | confluent-kafka >= 1.8.2, <= 2.7.0 | No | development
-| [opentelemetry-instrumentation-dbapi](./opentelemetry-instrumentation-dbapi) | dbapi | No | development
-| [opentelemetry-instrumentation-django](./opentelemetry-instrumentation-django) | django >= 1.10 | Yes | development
-| [opentelemetry-instrumentation-elasticsearch](./opentelemetry-instrumentation-elasticsearch) | elasticsearch >= 6.0 | No | development
+| [opentelemetry-instrumentation-asyncio](./opentelemetry-instrumentation-asyncio) | asyncio | No | experimental
+| [opentelemetry-instrumentation-asyncpg](./opentelemetry-instrumentation-asyncpg) | asyncpg >= 0.12.0 | No | experimental
+| [opentelemetry-instrumentation-aws-lambda](./opentelemetry-instrumentation-aws-lambda) | aws_lambda | No | experimental
+| [opentelemetry-instrumentation-boto](./opentelemetry-instrumentation-boto) | boto~=2.0 | No | experimental
+| [opentelemetry-instrumentation-boto3sqs](./opentelemetry-instrumentation-boto3sqs) | boto3 ~= 1.0 | No | experimental
+| [opentelemetry-instrumentation-botocore](./opentelemetry-instrumentation-botocore) | botocore ~= 1.0 | No | experimental
+| [opentelemetry-instrumentation-cassandra](./opentelemetry-instrumentation-cassandra) | cassandra-driver ~= 3.25,scylla-driver ~= 3.25 | No | experimental
+| [opentelemetry-instrumentation-celery](./opentelemetry-instrumentation-celery) | celery >= 4.0, < 6.0 | No | experimental
+| [opentelemetry-instrumentation-click](./opentelemetry-instrumentation-click) | click >= 8.1.3, < 9.0.0 | No | experimental
+| [opentelemetry-instrumentation-confluent-kafka](./opentelemetry-instrumentation-confluent-kafka) | confluent-kafka >= 1.8.2, <= 2.7.0 | No | experimental
+| [opentelemetry-instrumentation-dbapi](./opentelemetry-instrumentation-dbapi) | dbapi | No | experimental
+| [opentelemetry-instrumentation-django](./opentelemetry-instrumentation-django) | django >= 1.10 | Yes | experimental
+| [opentelemetry-instrumentation-elasticsearch](./opentelemetry-instrumentation-elasticsearch) | elasticsearch >= 6.0 | No | experimental
 | [opentelemetry-instrumentation-falcon](./opentelemetry-instrumentation-falcon) | falcon >= 1.4.1, < 5.0.0 | Yes | migration
-| [opentelemetry-instrumentation-fastapi](./opentelemetry-instrumentation-fastapi) | fastapi ~= 0.92 | Yes | migration
+| [opentelemetry-instrumentation-fastapi](./opentelemetry-instrumentation-fastapi) | fastapi ~= 0.58 | Yes | migration
 | [opentelemetry-instrumentation-flask](./opentelemetry-instrumentation-flask) | flask >= 1.0 | Yes | migration
-| [opentelemetry-instrumentation-grpc](./opentelemetry-instrumentation-grpc) | grpcio >= 1.42.0 | No | development
-| [opentelemetry-instrumentation-httpx](./opentelemetry-instrumentation-httpx) | httpx >= 0.18.0 | Yes | migration
-| [opentelemetry-instrumentation-jinja2](./opentelemetry-instrumentation-jinja2) | jinja2 >= 2.7, < 4.0 | No | development
-| [opentelemetry-instrumentation-kafka-python](./opentelemetry-instrumentation-kafka-python) | kafka-python >= 2.0, < 3.0,kafka-python-ng >= 2.0, < 3.0 | No | development
-| [opentelemetry-instrumentation-logging](./opentelemetry-instrumentation-logging) | logging | No | development
-| [opentelemetry-instrumentation-mysql](./opentelemetry-instrumentation-mysql) | mysql-connector-python >= 8.0, < 10.0 | No | development
-| [opentelemetry-instrumentation-mysqlclient](./opentelemetry-instrumentation-mysqlclient) | mysqlclient < 3 | No | development
-| [opentelemetry-instrumentation-pika](./opentelemetry-instrumentation-pika) | pika >= 0.12.0 | No | development
-| [opentelemetry-instrumentation-psycopg](./opentelemetry-instrumentation-psycopg) | psycopg >= 3.1.0 | No | development
-| [opentelemetry-instrumentation-psycopg2](./opentelemetry-instrumentation-psycopg2) | psycopg2 >= 2.7.3.1,psycopg2-binary >= 2.7.3.1 | No | development
-| [opentelemetry-instrumentation-pymemcache](./opentelemetry-instrumentation-pymemcache) | pymemcache >= 1.3.5, < 5 | No | development
-| [opentelemetry-instrumentation-pymongo](./opentelemetry-instrumentation-pymongo) | pymongo >= 3.1, < 5.0 | No | development
-| [opentelemetry-instrumentation-pymssql](./opentelemetry-instrumentation-pymssql) | pymssql >= 2.1.5, < 3 | No | development
-| [opentelemetry-instrumentation-pymysql](./opentelemetry-instrumentation-pymysql) | PyMySQL < 2 | No | development
-| [opentelemetry-instrumentation-pyramid](./opentelemetry-instrumentation-pyramid) | pyramid >= 1.7 | Yes | development
-| [opentelemetry-instrumentation-redis](./opentelemetry-instrumentation-redis) | redis >= 2.6 | No | development
-| [opentelemetry-instrumentation-remoulade](./opentelemetry-instrumentation-remoulade) | remoulade >= 0.50 | No | development
+| [opentelemetry-instrumentation-grpc](./opentelemetry-instrumentation-grpc) | grpcio >= 1.42.0 | No | experimental
+| [opentelemetry-instrumentation-httpx](./opentelemetry-instrumentation-httpx) | httpx >= 0.18.0 | No | migration
+| [opentelemetry-instrumentation-jinja2](./opentelemetry-instrumentation-jinja2) | jinja2 >= 2.7, < 4.0 | No | experimental
+| [opentelemetry-instrumentation-kafka-python](./opentelemetry-instrumentation-kafka-python) | kafka-python >= 2.0, < 3.0,kafka-python-ng >= 2.0, < 3.0 | No | experimental
+| [opentelemetry-instrumentation-logging](./opentelemetry-instrumentation-logging) | logging | No | experimental
+| [opentelemetry-instrumentation-mysql](./opentelemetry-instrumentation-mysql) | mysql-connector-python >= 8.0, < 10.0 | No | experimental
+| [opentelemetry-instrumentation-mysqlclient](./opentelemetry-instrumentation-mysqlclient) | mysqlclient < 3 | No | experimental
+| [opentelemetry-instrumentation-pika](./opentelemetry-instrumentation-pika) | pika >= 0.12.0 | No | experimental
+| [opentelemetry-instrumentation-psycopg](./opentelemetry-instrumentation-psycopg) | psycopg >= 3.1.0 | No | experimental
+| [opentelemetry-instrumentation-psycopg2](./opentelemetry-instrumentation-psycopg2) | psycopg2 >= 2.7.3.1,psycopg2-binary >= 2.7.3.1 | No | experimental
+| [opentelemetry-instrumentation-pymemcache](./opentelemetry-instrumentation-pymemcache) | pymemcache >= 1.3.5, < 5 | No | experimental
+| [opentelemetry-instrumentation-pymongo](./opentelemetry-instrumentation-pymongo) | pymongo >= 3.1, < 5.0 | No | experimental
+| [opentelemetry-instrumentation-pymssql](./opentelemetry-instrumentation-pymssql) | pymssql >= 2.1.5, < 3 | No | experimental
+| [opentelemetry-instrumentation-pymysql](./opentelemetry-instrumentation-pymysql) | PyMySQL < 2 | No | experimental
+| [opentelemetry-instrumentation-pyramid](./opentelemetry-instrumentation-pyramid) | pyramid >= 1.7 | Yes | experimental
+| [opentelemetry-instrumentation-redis](./opentelemetry-instrumentation-redis) | redis >= 2.6 | No | experimental
+| [opentelemetry-instrumentation-remoulade](./opentelemetry-instrumentation-remoulade) | remoulade >= 0.50 | No | experimental
 | [opentelemetry-instrumentation-requests](./opentelemetry-instrumentation-requests) | requests ~= 2.0 | Yes | migration
-| [opentelemetry-instrumentation-sqlalchemy](./opentelemetry-instrumentation-sqlalchemy) | sqlalchemy >= 1.0.0, < 2.1.0 | Yes | development
-| [opentelemetry-instrumentation-sqlite3](./opentelemetry-instrumentation-sqlite3) | sqlite3 | No | development
-| [opentelemetry-instrumentation-starlette](./opentelemetry-instrumentation-starlette) | starlette >= 0.13 | Yes | development
-| [opentelemetry-instrumentation-system-metrics](./opentelemetry-instrumentation-system-metrics) | psutil >= 5 | No | development
-| [opentelemetry-instrumentation-threading](./opentelemetry-instrumentation-threading) | threading | No | development
-| [opentelemetry-instrumentation-tornado](./opentelemetry-instrumentation-tornado) | tornado >= 5.1.1 | Yes | development
-| [opentelemetry-instrumentation-tortoiseorm](./opentelemetry-instrumentation-tortoiseorm) | tortoise-orm >= 0.17.0 | No | development
+| [opentelemetry-instrumentation-sqlalchemy](./opentelemetry-instrumentation-sqlalchemy) | sqlalchemy >= 1.0.0, < 2.1.0 | Yes | experimental
+| [opentelemetry-instrumentation-sqlite3](./opentelemetry-instrumentation-sqlite3) | sqlite3 | No | experimental
+| [opentelemetry-instrumentation-starlette](./opentelemetry-instrumentation-starlette) | starlette >= 0.13, <0.15 | Yes | experimental
+| [opentelemetry-instrumentation-system-metrics](./opentelemetry-instrumentation-system-metrics) | psutil >= 5 | No | experimental
+| [opentelemetry-instrumentation-threading](./opentelemetry-instrumentation-threading) | threading | No | experimental
+| [opentelemetry-instrumentation-tornado](./opentelemetry-instrumentation-tornado) | tornado >= 5.1.1 | Yes | experimental
+| [opentelemetry-instrumentation-tortoiseorm](./opentelemetry-instrumentation-tortoiseorm) | tortoise-orm >= 0.17.0 | No | experimental
 | [opentelemetry-instrumentation-urllib](./opentelemetry-instrumentation-urllib) | urllib | Yes | migration
 | [opentelemetry-instrumentation-urllib3](./opentelemetry-instrumentation-urllib3) | urllib3 >= 1.0.0, < 3.0.0 | Yes | migration
 | [opentelemetry-instrumentation-wsgi](./opentelemetry-instrumentation-wsgi) | wsgi | Yes | migration

instrumentation/opentelemetry-instrumentation-aio-pika/pyproject.toml

@@ -8,7 +8,7 @@ dynamic = ["version"]
 description = "OpenTelemetry Aio-pika instrumentation"
 readme = "README.rst"
 license = "Apache-2.0"
-requires-python = ">=3.9"
+requires-python = ">=3.8"
 authors = [
   { name = "OpenTelemetry Authors", email = "cncf-opentelemetry-contributors@lists.cncf.io" },
 ]
@@ -18,6 +18,7 @@ classifiers = [
   "License :: OSI Approved :: Apache Software License",
   "Programming Language :: Python",
   "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3.8",
   "Programming Language :: Python :: 3.9",
   "Programming Language :: Python :: 3.10",
   "Programming Language :: Python :: 3.11",
@@ -26,7 +27,7 @@ classifiers = [
 ]
 dependencies = [
   "opentelemetry-api ~= 1.5",
-  "opentelemetry-instrumentation == 0.57b0.dev",
+  "opentelemetry-instrumentation == 0.52b0.dev",
   "wrapt >= 1.0.0, < 2.0.0",
 ]
 

instrumentation/opentelemetry-instrumentation-aio-pika/src/opentelemetry/instrumentation/aio_pika/version.py

@@ -12,4 +12,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__ = "0.57b0.dev"
+__version__ = "0.52b0.dev"

instrumentation/opentelemetry-instrumentation-aiohttp-client/pyproject.toml

@@ -8,7 +8,7 @@ dynamic = ["version"]
 description = "OpenTelemetry aiohttp client instrumentation"
 readme = "README.rst"
 license = "Apache-2.0"
-requires-python = ">=3.9"
+requires-python = ">=3.8"
 authors = [
   { name = "OpenTelemetry Authors", email = "cncf-opentelemetry-contributors@lists.cncf.io" },
 ]
@@ -18,6 +18,7 @@ classifiers = [
   "License :: OSI Approved :: Apache Software License",
   "Programming Language :: Python",
   "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3.8",
   "Programming Language :: Python :: 3.9",
   "Programming Language :: Python :: 3.10",
   "Programming Language :: Python :: 3.11",
@@ -26,9 +27,9 @@ classifiers = [
 ]
 dependencies = [
   "opentelemetry-api ~= 1.12",
-  "opentelemetry-instrumentation == 0.57b0.dev",
-  "opentelemetry-semantic-conventions == 0.57b0.dev",
-  "opentelemetry-util-http == 0.57b0.dev",
+  "opentelemetry-instrumentation == 0.52b0.dev",
+  "opentelemetry-semantic-conventions == 0.52b0.dev",
+  "opentelemetry-util-http == 0.52b0.dev",
   "wrapt >= 1.0.0, < 2.0.0",
 ]
 

instrumentation/opentelemetry-instrumentation-aiohttp-client/src/opentelemetry/instrumentation/aiohttp_client/__init__.py

@@ -90,9 +90,7 @@ API
 
 import types
 import typing
-from timeit import default_timer
 from typing import Collection
-from urllib.parse import urlparse
 
 import aiohttp
 import wrapt
@@ -101,20 +99,11 @@ import yarl
 from opentelemetry import context as context_api
 from opentelemetry import trace
 from opentelemetry.instrumentation._semconv import (
-    HTTP_DURATION_HISTOGRAM_BUCKETS_NEW,
-    HTTP_DURATION_HISTOGRAM_BUCKETS_OLD,
-    _client_duration_attrs_new,
-    _client_duration_attrs_old,
-    _filter_semconv_duration_attrs,
     _get_schema_url,
     _OpenTelemetrySemanticConventionStability,
     _OpenTelemetryStabilitySignalType,
     _report_new,
-    _report_old,
-    _set_http_host_client,
     _set_http_method,
-    _set_http_net_peer_name_client,
-    _set_http_peer_port_client,
     _set_http_url,
     _set_status,
     _StabilityMode,
@@ -126,16 +115,11 @@ from opentelemetry.instrumentation.utils import (
     is_instrumentation_enabled,
     unwrap,
 )
-from opentelemetry.metrics import MeterProvider, get_meter
 from opentelemetry.propagate import inject
 from opentelemetry.semconv.attributes.error_attributes import ERROR_TYPE
-from opentelemetry.semconv.metrics import MetricInstruments
-from opentelemetry.semconv.metrics.http_metrics import (
-    HTTP_CLIENT_REQUEST_DURATION,
-)
 from opentelemetry.trace import Span, SpanKind, TracerProvider, get_tracer
 from opentelemetry.trace.status import Status, StatusCode
-from opentelemetry.util.http import redact_url, sanitize_method
+from opentelemetry.util.http import remove_url_credentials, sanitize_method
 
 _UrlFilterT = typing.Optional[typing.Callable[[yarl.URL], str]]
 _RequestHookT = typing.Optional[
@@ -188,14 +172,11 @@ def _set_http_status_code_attribute(
     )
 
 
-# pylint: disable=too-many-locals
-# pylint: disable=too-many-statements
 def create_trace_config(
     url_filter: _UrlFilterT = None,
     request_hook: _RequestHookT = None,
     response_hook: _ResponseHookT = None,
     tracer_provider: TracerProvider = None,
-    meter_provider: MeterProvider = None,
     sem_conv_opt_in_mode: _StabilityMode = _StabilityMode.DEFAULT,
 ) -> aiohttp.TraceConfig:
     """Create an aiohttp-compatible trace configuration.
@@ -224,7 +205,6 @@ def create_trace_config(
     :param Callable request_hook: Optional callback that can modify span name and request params.
     :param Callable response_hook: Optional callback that can modify span name and response params.
     :param tracer_provider: optional TracerProvider from which to get a Tracer
-    :param meter_provider: optional Meter provider to use
 
     :return: An object suitable for use with :py:class:`aiohttp.ClientSession`.
     :rtype: :py:class:`aiohttp.TraceConfig`
@@ -234,70 +214,20 @@ def create_trace_config(
     # Explicitly specify the type for the `request_hook` and `response_hook` param and rtype to work
     # around this issue.
 
-    schema_url = _get_schema_url(sem_conv_opt_in_mode)
-
     tracer = get_tracer(
         __name__,
         __version__,
         tracer_provider,
-        schema_url=schema_url,
+        schema_url=_get_schema_url(sem_conv_opt_in_mode),
     )
 
-    meter = get_meter(
-        __name__,
-        __version__,
-        meter_provider,
-        schema_url,
-    )
-
-    start_time = 0
-
-    duration_histogram_old = None
-    if _report_old(sem_conv_opt_in_mode):
-        duration_histogram_old = meter.create_histogram(
-            name=MetricInstruments.HTTP_CLIENT_DURATION,
-            unit="ms",
-            description="measures the duration of the outbound HTTP request",
-            explicit_bucket_boundaries_advisory=HTTP_DURATION_HISTOGRAM_BUCKETS_OLD,
-        )
-    duration_histogram_new = None
-    if _report_new(sem_conv_opt_in_mode):
-        duration_histogram_new = meter.create_histogram(
-            name=HTTP_CLIENT_REQUEST_DURATION,
-            unit="s",
-            description="Duration of HTTP client requests.",
-            explicit_bucket_boundaries_advisory=HTTP_DURATION_HISTOGRAM_BUCKETS_NEW,
-        )
-
+    # TODO: Use this when we have durations for aiohttp-client
     metric_attributes = {}
 
     def _end_trace(trace_config_ctx: types.SimpleNamespace):
-        elapsed_time = max(default_timer() - trace_config_ctx.start_time, 0)
         context_api.detach(trace_config_ctx.token)
         trace_config_ctx.span.end()
 
-        if trace_config_ctx.duration_histogram_old is not None:
-            duration_attrs_old = _filter_semconv_duration_attrs(
-                metric_attributes,
-                _client_duration_attrs_old,
-                _client_duration_attrs_new,
-                _StabilityMode.DEFAULT,
-            )
-            trace_config_ctx.duration_histogram_old.record(
-                max(round(elapsed_time * 1000), 0),
-                attributes=duration_attrs_old,
-            )
-        if trace_config_ctx.duration_histogram_new is not None:
-            duration_attrs_new = _filter_semconv_duration_attrs(
-                metric_attributes,
-                _client_duration_attrs_old,
-                _client_duration_attrs_new,
-                _StabilityMode.HTTP,
-            )
-            trace_config_ctx.duration_histogram_new.record(
-                elapsed_time, attributes=duration_attrs_new
-            )
-
     async def on_request_start(
         unused_session: aiohttp.ClientSession,
         trace_config_ctx: types.SimpleNamespace,
@@ -307,13 +237,12 @@ def create_trace_config(
             trace_config_ctx.span = None
             return
 
-        trace_config_ctx.start_time = default_timer()
         method = params.method
         request_span_name = _get_span_name(method)
         request_url = (
-            redact_url(trace_config_ctx.url_filter(params.url))
+            remove_url_credentials(trace_config_ctx.url_filter(params.url))
             if callable(trace_config_ctx.url_filter)
-            else redact_url(str(params.url))
+            else remove_url_credentials(str(params.url))
         )
 
         span_attributes = {}
@@ -323,44 +252,8 @@ def create_trace_config(
             sanitize_method(method),
             sem_conv_opt_in_mode,
         )
-        _set_http_method(
-            metric_attributes,
-            method,
-            sanitize_method(method),
-            sem_conv_opt_in_mode,
-        )
         _set_http_url(span_attributes, request_url, sem_conv_opt_in_mode)
 
-        try:
-            parsed_url = urlparse(request_url)
-            if parsed_url.hostname:
-                _set_http_host_client(
-                    metric_attributes,
-                    parsed_url.hostname,
-                    sem_conv_opt_in_mode,
-                )
-                _set_http_net_peer_name_client(
-                    metric_attributes,
-                    parsed_url.hostname,
-                    sem_conv_opt_in_mode,
-                )
-                if _report_new(sem_conv_opt_in_mode):
-                    _set_http_host_client(
-                        span_attributes,
-                        parsed_url.hostname,
-                        sem_conv_opt_in_mode,
-                    )
-            if parsed_url.port:
-                _set_http_peer_port_client(
-                    metric_attributes, parsed_url.port, sem_conv_opt_in_mode
-                )
-                if _report_new(sem_conv_opt_in_mode):
-                    _set_http_peer_port_client(
-                        span_attributes, parsed_url.port, sem_conv_opt_in_mode
-                    )
-        except ValueError:
-            pass
-
         trace_config_ctx.span = trace_config_ctx.tracer.start_span(
             request_span_name, kind=SpanKind.CLIENT, attributes=span_attributes
         )
@@ -405,7 +298,6 @@ def create_trace_config(
             exc_type = type(params.exception).__qualname__
             if _report_new(sem_conv_opt_in_mode):
                 trace_config_ctx.span.set_attribute(ERROR_TYPE, exc_type)
-                metric_attributes[ERROR_TYPE] = exc_type
 
             trace_config_ctx.span.set_status(
                 Status(StatusCode.ERROR, exc_type)
@@ -420,12 +312,7 @@ def create_trace_config(
     def _trace_config_ctx_factory(**kwargs):
         kwargs.setdefault("trace_request_ctx", {})
         return types.SimpleNamespace(
-            tracer=tracer,
-            url_filter=url_filter,
-            start_time=start_time,
-            duration_histogram_old=duration_histogram_old,
-            duration_histogram_new=duration_histogram_new,
-            **kwargs,
+            tracer=tracer, url_filter=url_filter, **kwargs
         )
 
     trace_config = aiohttp.TraceConfig(
@@ -441,7 +328,6 @@ def create_trace_config(
 
 def _instrument(
     tracer_provider: TracerProvider = None,
-    meter_provider: MeterProvider = None,
     url_filter: _UrlFilterT = None,
     request_hook: _RequestHookT = None,
     response_hook: _ResponseHookT = None,
@@ -471,7 +357,6 @@ def _instrument(
             request_hook=request_hook,
             response_hook=response_hook,
             tracer_provider=tracer_provider,
-            meter_provider=meter_provider,
             sem_conv_opt_in_mode=sem_conv_opt_in_mode,
         )
         trace_config._is_instrumented_by_opentelemetry = True
@@ -516,7 +401,6 @@ class AioHttpClientInstrumentor(BaseInstrumentor):
         Args:
             **kwargs: Optional arguments
                 ``tracer_provider``: a TracerProvider, defaults to global
-                ``meter_provider``: a MeterProvider, defaults to global
                 ``url_filter``: A callback to process the requested URL prior to adding
                     it as a span attribute. This can be useful to remove sensitive data
                     such as API keys or user personal information.
@@ -531,7 +415,6 @@ class AioHttpClientInstrumentor(BaseInstrumentor):
         )
         _instrument(
             tracer_provider=kwargs.get("tracer_provider"),
-            meter_provider=kwargs.get("meter_provider"),
             url_filter=kwargs.get("url_filter"),
             request_hook=kwargs.get("request_hook"),
             response_hook=kwargs.get("response_hook"),

instrumentation/opentelemetry-instrumentation-aiohttp-client/src/opentelemetry/instrumentation/aiohttp_client/package.py

@@ -15,6 +15,6 @@
 
 _instruments = ("aiohttp ~= 3.0",)
 
-_supports_metrics = True
+_supports_metrics = False
 
 _semconv_status = "migration"

instrumentation/opentelemetry-instrumentation-aiohttp-client/src/opentelemetry/instrumentation/aiohttp_client/version.py

@@ -12,4 +12,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__ = "0.57b0.dev"
+__version__ = "0.52b0.dev"