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

CHANGELOG.md

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- `opentelemetry-instrumentation-dbapi`, `opentelemetry-instrumentation-django`,
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`opentelemetry-instrumentation-sqlalchemy`: Fix sqlcomment for non string query and composable object.
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([#3113](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3113))
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- `opentelemetry-instrumentation-grpc` Fix error when using gprc versions <= 1.50.0 with unix sockets.
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([[#3393](https://github.com/open-telemetry/opentelemetry-python-contrib/issues/3393)])
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## Version 1.31.0/0.52b0 (2025-03-12)
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instrumentation/opentelemetry-instrumentation-botocore/README.rst

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This library allows tracing requests made by the Botocore library.
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Extensions
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----------
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The instrumentation supports creating extensions for AWS services for enriching what is collected. We have extensions
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for the following AWS services:
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- Bedrock Runtime
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- DynamoDB
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- Lambda
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- SNS
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- SQS
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Bedrock Runtime
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***************
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This extension implements the GenAI semantic conventions for the following API calls:
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- Converse
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- ConverseStream
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- InvokeModel
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- InvokeModelWithResponseStream
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For the Converse and ConverseStream APIs tracing, events and metrics are implemented.
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For the InvokeModel and InvokeModelWithResponseStream APIs tracing, events and metrics implemented only for a subset of
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the available models, namely:
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- Amazon Titan models
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- Amazon Nova models
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- Anthropic Claude
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Tool calls with InvokeModel and InvokeModelWithResponseStream APIs are supported with:
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- Amazon Nova models
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- Anthropic Claude 3+
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If you don't have an application using Bedrock APIs yet, try our `zero-code examples <examples/bedrock-runtime/zero-code>`_.
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Installation
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------------
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instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/__init__.py

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)
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ec2 = session.create_client("ec2", region_name="us-west-2")
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ec2.describe_instances()
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Extensions
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----------
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The instrumentation supports creating extensions for AWS services for enriching what is collected. We have extensions
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for the following AWS services:
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- Bedrock Runtime
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- DynamoDB
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- Lambda
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- SNS
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- SQS
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Bedrock Runtime
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***************
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This extension implements the GenAI semantic conventions for the following API calls:
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- Converse
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- ConverseStream
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- InvokeModel
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- InvokeModelWithResponseStream
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For the Converse and ConverseStream APIs tracing, events and metrics are implemented.
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For the InvokeModel and InvokeModelWithResponseStream APIs tracing, events and metrics implemented only for a subset of
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the available models, namely:
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- Amazon Titan models
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- Amazon Nova models
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- Anthropic Claude
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Tool calls with InvokeModel and InvokeModelWithResponseStream APIs are supported with:
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- Amazon Nova models
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- Anthropic Claude 3+
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"""
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import logging

instrumentation/opentelemetry-instrumentation-grpc/src/opentelemetry/instrumentation/grpc/_server.py

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# * ipv4:127.0.0.1:57284
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# * ipv4:10.2.1.1:57284,127.0.0.1:57284
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#
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if context.peer() != "unix:":
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if not context.peer().startswith("unix:"):
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try:
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ip, port = (
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context.peer()

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