diff --git a/.github/workflows/ai-integration-test.yml b/.github/workflows/ai-integration-test.yml
index 63478440d4..65d57caba7 100644
--- a/.github/workflows/ai-integration-test.yml
+++ b/.github/workflows/ai-integration-test.yml
@@ -34,7 +34,7 @@ jobs:
           token: ${{ secrets.GITHUB_TOKEN }}
 
       - name: Run Python SDK Tests
-        uses: getsentry/testing-ai-sdk-integrations@285c012e522f241581534dfc89bd99ec3b1da4f6
+        uses: getsentry/testing-ai-sdk-integrations@6b1f51ec8af03e19087df452b426aa7e46d2b20a
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
         with:
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index 1d8fdb1000..b2a935fcea 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -22,7 +22,7 @@ jobs:
     steps:
     - name: Get auth token
       id: token
-      uses: actions/create-github-app-token@29824e69f54612133e76f7eaac726eef6c875baf # v2
+      uses: actions/create-github-app-token@f8d387b68d61c58ab83c6c016672934102569859 # v2
       with:
         app-id: ${{ vars.SENTRY_RELEASE_BOT_CLIENT_ID }}
         private-key: ${{ secrets.SENTRY_RELEASE_BOT_PRIVATE_KEY }}
@@ -31,7 +31,7 @@ jobs:
         token: ${{ steps.token.outputs.token }}
         fetch-depth: 0
     - name: Prepare release
-      uses: getsentry/craft@d4cfac9d25d1fc72c9241e5d22aff559a114e4e9 # v2
+      uses: getsentry/craft@013a7b2113c2cac0ff32d5180cfeaefc7c9ce5b6 # v2
       env:
         GITHUB_TOKEN: ${{ steps.token.outputs.token }}
       with:
diff --git a/.github/workflows/warden.yml b/.github/workflows/warden.yml
deleted file mode 100644
index f2ff05325a..0000000000
--- a/.github/workflows/warden.yml
+++ /dev/null
@@ -1,24 +0,0 @@
-name: Warden
-
-on:
-  pull_request:
-    types: [opened, synchronize, reopened]
-
-# contents: write required for resolving review threads via GraphQL
-# See: https://github.com/orgs/community/discussions/44650
-permissions:
-  contents: write
-  pull-requests: write
-  checks: write
-
-jobs:
-  review:
-    runs-on: ubuntu-latest
-    env:
-      WARDEN_MODEL: ${{ secrets.WARDEN_MODEL }}
-      WARDEN_SENTRY_DSN: ${{ secrets.WARDEN_SENTRY_DSN }}
-    steps:
-      - uses: actions/checkout@v4
-      - uses: getsentry/warden@v0
-        with:
-          anthropic-api-key: ${{ secrets.WARDEN_ANTHROPIC_API_KEY }}
diff --git a/CHANGELOG.md b/CHANGELOG.md
index f21da70dda..9abbbc4225 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,82 @@
 # Changelog
 
+## 2.55.0
+
+### New Features ✨
+
+#### Anthropic
+
+- Record finish reasons in AI monitoring spans by @ericapisani in [#5678](https://github.com/getsentry/sentry-python/pull/5678)
+- Emit `gen_ai.chat` spans for asynchronous `messages.stream()` by @alexander-alderman-webb in [#5572](https://github.com/getsentry/sentry-python/pull/5572)
+- Emit AI Client Spans for synchronous `messages.stream()` by @alexander-alderman-webb in [#5565](https://github.com/getsentry/sentry-python/pull/5565)
+- Set gen_ai.response.id span attribute by @ericapisani in [#5662](https://github.com/getsentry/sentry-python/pull/5662)
+- Add `gen_ai.system` attribute to spans by @ericapisani in [#5661](https://github.com/getsentry/sentry-python/pull/5661)
+
+#### Pydantic Ai
+
+- Support ImageUrl content type in span instrumentation by @ericapisani in [#5629](https://github.com/getsentry/sentry-python/pull/5629)
+- Add tool description to execute_tool spans by @ericapisani in [#5596](https://github.com/getsentry/sentry-python/pull/5596)
+
+#### Other
+
+- (crons) Add owner field to MonitorConfig by @julwhitney13 in [#5610](https://github.com/getsentry/sentry-python/pull/5610)
+- (otlp) Add collector_url option to OTLPIntegration by @sl0thentr0py in [#5603](https://github.com/getsentry/sentry-python/pull/5603)
+
+### Bug Fixes 🐛
+
+- (ai) Truncate list-based message content in AI monitoring by @ericapisani in [#5631](https://github.com/getsentry/sentry-python/pull/5631)
+- (anthropic) Close span on `GeneratorExit` by @alexander-alderman-webb in [#5643](https://github.com/getsentry/sentry-python/pull/5643)
+- (celery) Propagate user-set headers by @sentrivana in [#5581](https://github.com/getsentry/sentry-python/pull/5581)
+- (langchain) Wrap finish_reason in array for gen_ai span attribute by @ericapisani in [#5666](https://github.com/getsentry/sentry-python/pull/5666)
+- (logging) Fix deadlock in log batcher by @sentrivana in [#5684](https://github.com/getsentry/sentry-python/pull/5684)
+- (profiler) Prevent buffer race condition during rapid start/stop cycles by @ericapisani in [#5622](https://github.com/getsentry/sentry-python/pull/5622)
+- (utils) Avoid double serialization of strings in safe_serialize by @ericapisani in [#5587](https://github.com/getsentry/sentry-python/pull/5587)
+- Enable unused import ruff check and fix unused imports by @sentrivana in [#5652](https://github.com/getsentry/sentry-python/pull/5652)
+
+### Documentation 📚
+
+- (openai-agents) Remove inapplicable comment by @alexander-alderman-webb in [#5495](https://github.com/getsentry/sentry-python/pull/5495)
+- Add AGENTS.md by @sentrivana in [#5579](https://github.com/getsentry/sentry-python/pull/5579)
+- Add `set_attribute` example to changelog by @sentrivana in [#5578](https://github.com/getsentry/sentry-python/pull/5578)
+
+### Internal Changes 🔧
+
+#### Anthropic
+
+- Check system and response ID attributes on spans created by `stream()` by @alexander-alderman-webb in [#5665](https://github.com/getsentry/sentry-python/pull/5665)
+- Skip accumulation logic for unexpected types in streamed response by @alexander-alderman-webb in [#5564](https://github.com/getsentry/sentry-python/pull/5564)
+- Factor out streamed result handling by @alexander-alderman-webb in [#5563](https://github.com/getsentry/sentry-python/pull/5563)
+- Stream valid JSON by @alexander-alderman-webb in [#5641](https://github.com/getsentry/sentry-python/pull/5641)
+- Stop mocking response iterator by @alexander-alderman-webb in [#5573](https://github.com/getsentry/sentry-python/pull/5573)
+
+#### Openai Agents
+
+- Do not fail on new tool fields by @alexander-alderman-webb in [#5625](https://github.com/getsentry/sentry-python/pull/5625)
+- Stop expecting a specific function name by @alexander-alderman-webb in [#5623](https://github.com/getsentry/sentry-python/pull/5623)
+- Set streaming header when library uses `with_streaming_response()` by @alexander-alderman-webb in [#5583](https://github.com/getsentry/sentry-python/pull/5583)
+- Replace mocks with `httpx` for streamed responses by @alexander-alderman-webb in [#5580](https://github.com/getsentry/sentry-python/pull/5580)
+- Replace mocks with `httpx` in non-MCP tool tests by @alexander-alderman-webb in [#5602](https://github.com/getsentry/sentry-python/pull/5602)
+- Replace mocks with `httpx` in MCP tool tests by @alexander-alderman-webb in [#5605](https://github.com/getsentry/sentry-python/pull/5605)
+- Replace mocks with `httpx` in handoff tests by @alexander-alderman-webb in [#5604](https://github.com/getsentry/sentry-python/pull/5604)
+- Replace mocks with `httpx` in API error test by @alexander-alderman-webb in [#5601](https://github.com/getsentry/sentry-python/pull/5601)
+- Replace mocks with `httpx` in non-error single-response tests by @alexander-alderman-webb in [#5600](https://github.com/getsentry/sentry-python/pull/5600)
+- Remove test for unreachable state by @alexander-alderman-webb in [#5584](https://github.com/getsentry/sentry-python/pull/5584)
+- Expect `namespace` tool field for new `openai` versions by @alexander-alderman-webb in [#5599](https://github.com/getsentry/sentry-python/pull/5599)
+
+#### Other
+
+- (graphene) Simplify span creation by @sentrivana in [#5648](https://github.com/getsentry/sentry-python/pull/5648)
+- (httpx) Resolve type checking failures by @alexander-alderman-webb in [#5626](https://github.com/getsentry/sentry-python/pull/5626)
+- (pyramid) Support alpha suffixes in version parsing by @alexander-alderman-webb in [#5618](https://github.com/getsentry/sentry-python/pull/5618)
+- (rust) Don't implement separate scope management by @sentrivana in [#5639](https://github.com/getsentry/sentry-python/pull/5639)
+- (strawberry) Simplify span creation by @sentrivana in [#5647](https://github.com/getsentry/sentry-python/pull/5647)
+- 🤖 Update test matrix with new releases (03/16) by @github-actions in [#5671](https://github.com/getsentry/sentry-python/pull/5671)
+- Remove custom warden action by @sentrivana in [#5653](https://github.com/getsentry/sentry-python/pull/5653)
+- Add `httpx` to linting requirements by @alexander-alderman-webb in [#5644](https://github.com/getsentry/sentry-python/pull/5644)
+- Remove CodeQL action by @sentrivana in [#5616](https://github.com/getsentry/sentry-python/pull/5616)
+- Normalize dots in package names in `populate_tox.py` by @alexander-alderman-webb in [#5574](https://github.com/getsentry/sentry-python/pull/5574)
+- Do not run actions on `potel-base` by @sentrivana in [#5614](https://github.com/getsentry/sentry-python/pull/5614)
+
 ## 2.54.0
 
 ### New Features ✨
diff --git a/docs/conf.py b/docs/conf.py
index a3ecc64b9b..da8917f86d 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -31,7 +31,7 @@
 copyright = "2019-{}, Sentry Team and Contributors".format(datetime.now().year)
 author = "Sentry Team and Contributors"
 
-release = "2.54.0"
+release = "2.55.0"
 version = ".".join(release.split(".")[:2])  # The short X.Y version.
 
 
diff --git a/pyproject.toml b/pyproject.toml
index 4b3d72ea09..b090d9bd4d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -227,7 +227,6 @@ ignore = [
     "N804", # First argument of classmethod should be named cls
 
     # Additional ignores for codebase compatibility
-    "F401", # Unused imports - many in TYPE_CHECKING blocks used for type comments
     "E721", # Use isinstance instead of type() == - existing pattern in this codebase
 ]
 
diff --git a/requirements-testing.txt b/requirements-testing.txt
index 5cd669af9a..a6041972cd 100644
--- a/requirements-testing.txt
+++ b/requirements-testing.txt
@@ -4,6 +4,7 @@ tomli;python_version<"3.11"  # Only needed for pytest on Python < 3.11
 pytest-cov
 pytest-forked
 pytest-localserver
+pytest-timeout
 pytest-watch
 jsonschema
 executing
diff --git a/scripts/populate_tox/package_dependencies.jsonl b/scripts/populate_tox/package_dependencies.jsonl
index b46a00ab90..89f36e77d0 100644
--- a/scripts/populate_tox/package_dependencies.jsonl
+++ b/scripts/populate_tox/package_dependencies.jsonl
@@ -1,6 +1,6 @@
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diff --git a/scripts/populate_tox/populate_tox.py b/scripts/populate_tox/populate_tox.py
index 7f1065378e..fb404b0921 100644
--- a/scripts/populate_tox/populate_tox.py
+++ b/scripts/populate_tox/populate_tox.py
@@ -20,7 +20,6 @@
 from packaging.specifiers import SpecifierSet
 from packaging.version import Version
 from pathlib import Path
-from textwrap import dedent
 from typing import Optional, Union
 
 # Adding the scripts directory to PATH. This is necessary in order to be able
diff --git a/scripts/populate_tox/releases.jsonl b/scripts/populate_tox/releases.jsonl
index 835d769ec1..caf61056d1 100644
--- a/scripts/populate_tox/releases.jsonl
+++ b/scripts/populate_tox/releases.jsonl
@@ -46,7 +46,7 @@
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 {"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: No Input/Output (Daemon)", "Framework :: Tryton", "Intended Audience :: Developers", "License :: OSI Approved :: GNU General Public License (GPL)", "Natural Language :: Bulgarian", "Natural Language :: Catalan", "Natural Language :: Czech", "Natural Language :: Dutch", "Natural Language :: English", "Natural Language :: French", "Natural Language :: German", "Natural Language :: Hungarian", "Natural Language :: Italian", "Natural Language :: Portuguese (Brazilian)", "Natural Language :: Russian", "Natural Language :: Slovenian", "Natural Language :: Spanish", "Operating System :: OS Independent", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy", "Topic :: Software Development :: Libraries :: Application Frameworks"], "name": "trytond", "requires_python": "", "version": "3.8.18", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "trytond-3.8.18-py2-none-any.whl"}, {"packagetype": "sdist", "filename": "trytond-3.8.18.tar.gz"}]}
@@ -237,4 +235,5 @@
 {"info": {"classifiers": ["Development Status :: 4 - Beta", "Intended Audience :: Developers", "Intended Audience :: Information Technology", "Intended Audience :: System Administrators", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Topic :: Software Development", "Topic :: Software Development :: Libraries", "Topic :: Software Development :: Libraries :: Application Frameworks", "Topic :: Software Development :: Libraries :: Python Modules", "Typing :: Typed"], "name": "typer", "requires_python": ">=3.7", "version": "0.15.4", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "typer-0.15.4-py3-none-any.whl"}, {"packagetype": "sdist", "filename": "typer-0.15.4.tar.gz"}]}
 {"info": {"classifiers": ["Development Status :: 4 - Beta", "Intended Audience :: Developers", "Intended Audience :: Information Technology", "Intended Audience :: System Administrators", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.14", "Topic :: Software Development", "Topic :: Software Development :: Libraries", "Topic :: Software Development :: Libraries :: Application Frameworks", "Topic :: Software Development :: Libraries :: Python Modules", "Typing :: Typed"], "name": "typer", "requires_python": ">=3.10", "version": "0.24.1", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "typer-0.24.1-py3-none-any.whl"}, {"packagetype": "sdist", "filename": "typer-0.24.1.tar.gz"}]}
 {"info": {"classifiers": ["Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.14", "Programming Language :: Python :: 3.9", "Programming Language :: Rust"], "name": "uuid_utils", "requires_python": ">=3.9", "version": "0.14.0", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-cp39-abi3-macosx_10_12_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-cp39-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-cp39-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-cp39-abi3-manylinux_2_5_i686.manylinux1_i686.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-cp39-abi3-musllinux_1_2_aarch64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-cp39-abi3-musllinux_1_2_armv7l.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-cp39-abi3-musllinux_1_2_i686.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-cp39-abi3-musllinux_1_2_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-cp39-abi3-win32.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-cp39-abi3-win_amd64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-cp39-abi3-win_arm64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-pp311-pypy311_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-pp311-pypy311_pp73-macosx_10_12_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-pp311-pypy311_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-pp311-pypy311_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl"}, {"packagetype": "sdist", "filename": "uuid_utils-0.14.0.tar.gz"}]}
+{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.14", "Programming Language :: Python :: 3.9", "Programming Language :: Rust"], "name": "uuid_utils", "requires_python": ">=3.9", "version": "0.14.1", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-cp39-abi3-macosx_10_12_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-cp39-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-cp39-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-cp39-abi3-manylinux_2_5_i686.manylinux1_i686.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-cp39-abi3-musllinux_1_2_aarch64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-cp39-abi3-musllinux_1_2_armv7l.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-cp39-abi3-musllinux_1_2_i686.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-cp39-abi3-musllinux_1_2_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-cp39-abi3-win32.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-cp39-abi3-win_amd64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-cp39-abi3-win_arm64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-pp311-pypy311_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-pp311-pypy311_pp73-macosx_10_12_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-pp311-pypy311_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-pp311-pypy311_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.1-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl"}, {"packagetype": "sdist", "filename": "uuid_utils-0.14.1.tar.gz"}]}
 {"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.14", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy"], "name": "zope.interface", "requires_python": ">=3.10", "version": "8.2", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp310-cp310-macosx_10_9_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp310-cp310-macosx_11_0_arm64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp310-cp310-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp310-cp310-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp310-cp310-win_amd64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp311-cp311-macosx_10_9_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp311-cp311-macosx_11_0_arm64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp311-cp311-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp311-cp311-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp311-cp311-win_amd64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp312-cp312-macosx_10_9_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp312-cp312-macosx_11_0_arm64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp312-cp312-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp312-cp312-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp312-cp312-win_amd64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp313-cp313-macosx_10_9_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp313-cp313-macosx_11_0_arm64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp313-cp313-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp313-cp313-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp313-cp313-win_amd64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp314-cp314-macosx_10_9_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp314-cp314-macosx_11_0_arm64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp314-cp314-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp314-cp314-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl"}, {"packagetype": "bdist_wheel", "filename": "zope_interface-8.2-cp314-cp314-win_amd64.whl"}, {"packagetype": "sdist", "filename": "zope_interface-8.2.tar.gz"}]}
diff --git a/sentry_sdk/_batcher.py b/sentry_sdk/_batcher.py
index 4a6ee07e67..4ba8046814 100644
--- a/sentry_sdk/_batcher.py
+++ b/sentry_sdk/_batcher.py
@@ -4,7 +4,7 @@
 from datetime import datetime, timezone
 from typing import TYPE_CHECKING, TypeVar, Generic
 
-from sentry_sdk.utils import format_timestamp, safe_repr, serialize_attribute
+from sentry_sdk.utils import format_timestamp
 from sentry_sdk.envelope import Envelope, Item, PayloadRef
 
 if TYPE_CHECKING:
@@ -31,6 +31,7 @@ def __init__(
         self._record_lost_func = record_lost_func
         self._running = True
         self._lock = threading.Lock()
+        self._active: "threading.local" = threading.local()
 
         self._flush_event: "threading.Event" = threading.Event()
 
@@ -70,23 +71,40 @@ def _ensure_thread(self) -> bool:
         return True
 
     def _flush_loop(self) -> None:
+        # Mark the flush-loop thread as active for its entire lifetime so
+        # that any re-entrant add() triggered by GC warnings during wait(),
+        # flush(), or Event operations is silently dropped instead of
+        # deadlocking on internal locks.
+        self._active.flag = True
         while self._running:
             self._flush_event.wait(self.FLUSH_WAIT_TIME + random.random())
             self._flush_event.clear()
             self._flush()
 
     def add(self, item: "T") -> None:
-        if not self._ensure_thread() or self._flusher is None:
+        # Bail out if the current thread is already executing batcher code.
+        # This prevents deadlocks when code running inside the batcher (e.g.
+        # _add_to_envelope during flush, or _flush_event.wait/set) triggers
+        # a GC-emitted warning that routes back through the logging
+        # integration into add().
+        if getattr(self._active, "flag", False):
             return None
 
-        with self._lock:
-            if len(self._buffer) >= self.MAX_BEFORE_DROP:
-                self._record_lost(item)
+        self._active.flag = True
+        try:
+            if not self._ensure_thread() or self._flusher is None:
                 return None
 
-            self._buffer.append(item)
-            if len(self._buffer) >= self.MAX_BEFORE_FLUSH:
-                self._flush_event.set()
+            with self._lock:
+                if len(self._buffer) >= self.MAX_BEFORE_DROP:
+                    self._record_lost(item)
+                    return None
+
+                self._buffer.append(item)
+                if len(self._buffer) >= self.MAX_BEFORE_FLUSH:
+                    self._flush_event.set()
+        finally:
+            self._active.flag = False
 
     def kill(self) -> None:
         if self._flusher is None:
@@ -97,7 +115,12 @@ def kill(self) -> None:
         self._flusher = None
 
     def flush(self) -> None:
-        self._flush()
+        was_active = getattr(self._active, "flag", False)
+        self._active.flag = True
+        try:
+            self._flush()
+        finally:
+            self._active.flag = was_active
 
     def _add_to_envelope(self, envelope: "Envelope") -> None:
         envelope.add_item(
diff --git a/sentry_sdk/_log_batcher.py b/sentry_sdk/_log_batcher.py
index 1c59f7379c..d765236846 100644
--- a/sentry_sdk/_log_batcher.py
+++ b/sentry_sdk/_log_batcher.py
@@ -2,7 +2,7 @@
 
 from sentry_sdk._batcher import Batcher
 from sentry_sdk.utils import serialize_attribute
-from sentry_sdk.envelope import Envelope, Item, PayloadRef
+from sentry_sdk.envelope import Item, PayloadRef
 
 if TYPE_CHECKING:
     from typing import Any
diff --git a/sentry_sdk/_metrics_batcher.py b/sentry_sdk/_metrics_batcher.py
index e60a4c86ec..92cece209b 100644
--- a/sentry_sdk/_metrics_batcher.py
+++ b/sentry_sdk/_metrics_batcher.py
@@ -2,7 +2,6 @@
 
 from sentry_sdk._batcher import Batcher
 from sentry_sdk.utils import serialize_attribute
-from sentry_sdk.envelope import Item
 
 if TYPE_CHECKING:
     from typing import Any
diff --git a/sentry_sdk/_span_batcher.py b/sentry_sdk/_span_batcher.py
index df3598b282..967011c083 100644
--- a/sentry_sdk/_span_batcher.py
+++ b/sentry_sdk/_span_batcher.py
@@ -4,14 +4,12 @@
 from typing import TYPE_CHECKING
 
 from sentry_sdk._batcher import Batcher
-from sentry_sdk.consts import SPANSTATUS
 from sentry_sdk.envelope import Envelope, Item, PayloadRef
-from sentry_sdk.utils import format_timestamp, serialize_attribute, safe_repr
+from sentry_sdk.utils import format_timestamp, serialize_attribute
 
 if TYPE_CHECKING:
     from typing import Any, Callable, Optional
     from sentry_sdk.traces import StreamedSpan
-    from sentry_sdk._types import SerializedAttributeValue
 
 
 class SpanBatcher(Batcher["StreamedSpan"]):
@@ -45,6 +43,7 @@ def __init__(
         self._record_lost_func = record_lost_func
         self._running = True
         self._lock = threading.Lock()
+        self._active: "threading.local" = threading.local()
 
         self._flush_event: "threading.Event" = threading.Event()
 
@@ -52,29 +51,42 @@ def __init__(
         self._flusher_pid: "Optional[int]" = None
 
     def add(self, span: "StreamedSpan") -> None:
-        if not self._ensure_thread() or self._flusher is None:
+        # Bail out if the current thread is already executing batcher code.
+        # This prevents deadlocks when code running inside the batcher (e.g.
+        # _add_to_envelope during flush, or _flush_event.wait/set) triggers
+        # a GC-emitted warning that routes back through the logging
+        # integration into add().
+        if getattr(self._active, "flag", False):
             return None
 
-        with self._lock:
-            size = len(self._span_buffer[span.trace_id])
-            if size >= self.MAX_BEFORE_DROP:
-                self._record_lost_func(
-                    reason="queue_overflow",
-                    data_category="span",
-                    quantity=1,
-                )
-                return None
-
-            self._span_buffer[span.trace_id].append(span)
-            self._running_size[span.trace_id] += self._estimate_size(span)
+        self._active.flag = True
 
-            if size + 1 >= self.MAX_BEFORE_FLUSH:
-                self._flush_event.set()
-                return
+        try:
+            if not self._ensure_thread() or self._flusher is None:
+                return None
 
-            if self._running_size[span.trace_id] >= self.MAX_BYTES_BEFORE_FLUSH:
-                self._flush_event.set()
-                return
+            with self._lock:
+                size = len(self._span_buffer[span.trace_id])
+                if size >= self.MAX_BEFORE_DROP:
+                    self._record_lost_func(
+                        reason="queue_overflow",
+                        data_category="span",
+                        quantity=1,
+                    )
+                    return None
+
+                self._span_buffer[span.trace_id].append(span)
+                self._running_size[span.trace_id] += self._estimate_size(span)
+
+                if size + 1 >= self.MAX_BEFORE_FLUSH:
+                    self._flush_event.set()
+                    return
+
+                if self._running_size[span.trace_id] >= self.MAX_BYTES_BEFORE_FLUSH:
+                    self._flush_event.set()
+                    return
+        finally:
+            self._active.flag = False
 
     @staticmethod
     def _estimate_size(item: "StreamedSpan") -> int:
@@ -116,9 +128,7 @@ def _flush(self) -> None:
             envelopes = []
             for trace_id, spans in self._span_buffer.items():
                 if spans:
-                    # TODO[span-first]
-                    # dsc = spans[0].dynamic_sampling_context()
-                    dsc = None
+                    dsc = spans[0]._dynamic_sampling_context()
 
                     # Max per envelope is 1000, so if we happen to have more than
                     # 1000 spans in one bucket, we'll need to separate them.
diff --git a/sentry_sdk/_types.py b/sentry_sdk/_types.py
index e3e8c16f90..baf5f6a2fd 100644
--- a/sentry_sdk/_types.py
+++ b/sentry_sdk/_types.py
@@ -109,7 +109,6 @@ def substituted_because_contains_sensitive_data(cls) -> "AnnotatedValue":
     from typing import Mapping
     from typing import NotRequired
     from typing import Optional
-    from typing import Tuple
     from typing import Type
     from typing_extensions import Literal, TypedDict
 
diff --git a/sentry_sdk/ai/__init__.py b/sentry_sdk/ai/__init__.py
index 7f0d9f92f7..3e5f13727b 100644
--- a/sentry_sdk/ai/__init__.py
+++ b/sentry_sdk/ai/__init__.py
@@ -1,8 +1,8 @@
 from .utils import (
-    set_data_normalized,
-    GEN_AI_MESSAGE_ROLE_MAPPING,
-    GEN_AI_MESSAGE_ROLE_REVERSE_MAPPING,
-    normalize_message_role,
-    normalize_message_roles,
-    set_conversation_id,
-)  # noqa: F401
+    set_data_normalized,  # noqa: F401
+    GEN_AI_MESSAGE_ROLE_MAPPING,  # noqa: F401
+    GEN_AI_MESSAGE_ROLE_REVERSE_MAPPING,  # noqa: F401
+    normalize_message_role,  # noqa: F401
+    normalize_message_roles,  # noqa: F401
+    set_conversation_id,  # noqa: F401
+)
diff --git a/sentry_sdk/ai/utils.py b/sentry_sdk/ai/utils.py
index 5acc501172..3cfae61546 100644
--- a/sentry_sdk/ai/utils.py
+++ b/sentry_sdk/ai/utils.py
@@ -1,8 +1,6 @@
 import inspect
 import json
-from collections import deque
 from copy import deepcopy
-from sys import getsizeof
 from typing import TYPE_CHECKING
 
 from sentry_sdk._types import BLOB_DATA_SUBSTITUTE
@@ -14,6 +12,8 @@
 
 import sentry_sdk
 from sentry_sdk.utils import logger
+from sentry_sdk.traces import StreamedSpan
+from sentry_sdk.tracing_utils import has_span_streaming_enabled
 
 MAX_GEN_AI_MESSAGE_BYTES = 20_000  # 20KB
 # Maximum characters when only a single message is left after bytes truncation
@@ -525,7 +525,14 @@ def normalize_message_roles(messages: "list[dict[str, Any]]") -> "list[dict[str,
 
 
 def get_start_span_function() -> "Callable[..., Any]":
+    if has_span_streaming_enabled(sentry_sdk.get_client().options):
+        return sentry_sdk.traces.start_span
+
     current_span = sentry_sdk.get_current_span()
+    if isinstance(current_span, StreamedSpan):
+        # mypy
+        return sentry_sdk.traces.start_span
+
     transaction_exists = (
         current_span is not None and current_span.containing_transaction is not None
     )
@@ -543,10 +550,25 @@ def _truncate_single_message_content_if_present(
         return message
     content = message["content"]
 
-    if not isinstance(content, str) or len(content) <= max_chars:
+    if isinstance(content, str):
+        if len(content) <= max_chars:
+            return message
+        message["content"] = content[:max_chars] + "..."
+        return message
+
+    if isinstance(content, list):
+        remaining = max_chars
+        for item in content:
+            if isinstance(item, dict) and "text" in item:
+                text = item["text"]
+                if isinstance(text, str):
+                    if len(text) > remaining:
+                        item["text"] = text[:remaining] + "..."
+                        remaining = 0
+                    else:
+                        remaining -= len(text)
         return message
 
-    message["content"] = content[:max_chars] + "..."
     return message
 
 
diff --git a/sentry_sdk/api.py b/sentry_sdk/api.py
index bea22d8be7..a9936230ad 100644
--- a/sentry_sdk/api.py
+++ b/sentry_sdk/api.py
@@ -6,6 +6,7 @@
 from sentry_sdk._init_implementation import init
 from sentry_sdk.consts import INSTRUMENTER
 from sentry_sdk.scope import Scope, _ScopeManager, new_scope, isolation_scope
+from sentry_sdk.traces import StreamedSpan
 from sentry_sdk.tracing import NoOpSpan, Transaction, trace
 from sentry_sdk.crons import monitor
 
@@ -37,6 +38,7 @@
         LogLevelStr,
         SamplingContext,
     )
+    from sentry_sdk.traces import StreamedSpan
     from sentry_sdk.tracing import Span, TransactionKwargs
 
     T = TypeVar("T")
@@ -409,7 +411,9 @@ def set_measurement(name: str, value: float, unit: "MeasurementUnit" = "") -> No
         transaction.set_measurement(name, value, unit)
 
 
-def get_current_span(scope: "Optional[Scope]" = None) -> "Optional[Span]":
+def get_current_span(
+    scope: "Optional[Scope]" = None,
+) -> "Optional[Union[Span, StreamedSpan]]":
     """
     Returns the currently active span if there is one running, otherwise `None`
     """
@@ -525,6 +529,16 @@ def update_current_span(
     if current_span is None:
         return
 
+    if isinstance(current_span, StreamedSpan):
+        warnings.warn(
+            "The `update_current_span` API isn't available in streaming mode. "
+            "Retrieve the current span with get_current_span() and use its API "
+            "directly.",
+            DeprecationWarning,
+            stacklevel=2,
+        )
+        return
+
     if op is not None:
         current_span.op = op
 
diff --git a/sentry_sdk/client.py b/sentry_sdk/client.py
index f540a49f35..9aa26a4f30 100644
--- a/sentry_sdk/client.py
+++ b/sentry_sdk/client.py
@@ -8,8 +8,7 @@
 from typing import TYPE_CHECKING, List, Dict, cast, overload
 import warnings
 
-import sentry_sdk
-from sentry_sdk._compat import PY37, check_uwsgi_thread_support
+from sentry_sdk._compat import check_uwsgi_thread_support
 from sentry_sdk._metrics_batcher import MetricsBatcher
 from sentry_sdk._span_batcher import SpanBatcher
 from sentry_sdk.utils import (
@@ -23,7 +22,6 @@
     get_type_name,
     get_default_release,
     handle_in_app,
-    is_gevent,
     logger,
     get_before_send_log,
     get_before_send_metric,
diff --git a/sentry_sdk/consts.py b/sentry_sdk/consts.py
index eb077ef62f..6e63b9a549 100644
--- a/sentry_sdk/consts.py
+++ b/sentry_sdk/consts.py
@@ -54,7 +54,6 @@ class CompressionAlgo(Enum):
         Hint,
         IgnoreSpansConfig,
         Log,
-        MeasurementUnit,
         Metric,
         ProfilerMode,
         TracesSampler,
@@ -1492,4 +1491,4 @@ def _get_default_options() -> "dict[str, Any]":
 del _get_default_options
 
 
-VERSION = "2.54.0"
+VERSION = "2.55.0"
diff --git a/sentry_sdk/feature_flags.py b/sentry_sdk/feature_flags.py
index c9f3f303f9..de0cefbcad 100644
--- a/sentry_sdk/feature_flags.py
+++ b/sentry_sdk/feature_flags.py
@@ -1,6 +1,7 @@
 import copy
 import sentry_sdk
 from sentry_sdk._lru_cache import LRUCache
+from sentry_sdk.tracing import Span
 from threading import Lock
 
 from typing import TYPE_CHECKING, Any
@@ -61,5 +62,5 @@ def add_feature_flag(flag: str, result: bool) -> None:
     flags.set(flag, result)
 
     span = sentry_sdk.get_current_span()
-    if span:
+    if span and isinstance(span, Span):
         span.set_flag(f"flag.evaluation.{flag}", result)
diff --git a/sentry_sdk/integrations/anthropic.py b/sentry_sdk/integrations/anthropic.py
index eca9e8bd3e..32522a7234 100644
--- a/sentry_sdk/integrations/anthropic.py
+++ b/sentry_sdk/integrations/anthropic.py
@@ -37,7 +37,18 @@
     except ImportError:
         Omit = None
 
+    from anthropic import Stream, AsyncStream
     from anthropic.resources import AsyncMessages, Messages
+    from anthropic.lib.streaming import MessageStreamManager, AsyncMessageStreamManager
+
+    from anthropic.types import (
+        MessageStartEvent,
+        MessageDeltaEvent,
+        MessageStopEvent,
+        ContentBlockStartEvent,
+        ContentBlockDeltaEvent,
+        ContentBlockStopEvent,
+    )
 
     if TYPE_CHECKING:
         from anthropic.types import MessageStreamEvent, TextBlockParam
@@ -45,10 +56,19 @@
     raise DidNotEnable("Anthropic not installed")
 
 if TYPE_CHECKING:
-    from typing import Any, AsyncIterator, Iterator, List, Optional, Union
+    from typing import Any, AsyncIterator, Iterator, Optional, Union
     from sentry_sdk.tracing import Span
     from sentry_sdk._types import TextPart
 
+    from anthropic.types import (
+        RawMessageStreamEvent,
+        MessageParam,
+        ModelParam,
+        TextBlockParam,
+        ToolUnionParam,
+    )
+    from anthropic.lib.streaming import MessageStream, AsyncMessageStream
+
 
 class _RecordedUsage:
     output_tokens: int = 0
@@ -72,6 +92,18 @@ def setup_once() -> None:
         Messages.create = _wrap_message_create(Messages.create)
         AsyncMessages.create = _wrap_message_create_async(AsyncMessages.create)
 
+        Messages.stream = _wrap_message_stream(Messages.stream)
+        MessageStreamManager.__enter__ = _wrap_message_stream_manager_enter(
+            MessageStreamManager.__enter__
+        )
+
+        AsyncMessages.stream = _wrap_async_message_stream(AsyncMessages.stream)
+        AsyncMessageStreamManager.__aenter__ = (
+            _wrap_async_message_stream_manager_aenter(
+                AsyncMessageStreamManager.__aenter__
+            )
+        )
+
 
 def _capture_exception(exc: "Any") -> None:
     set_span_errored()
@@ -126,7 +158,9 @@ def _collect_ai_data(
     model: "str | None",
     usage: "_RecordedUsage",
     content_blocks: "list[str]",
-) -> "tuple[str | None, _RecordedUsage, list[str]]":
+    response_id: "str | None" = None,
+    finish_reason: "str | None" = None,
+) -> "tuple[str | None, _RecordedUsage, list[str], str | None, str | None]":
     """
     Collect model information, token usage, and collect content blocks from the AI streaming response.
     """
@@ -146,6 +180,7 @@ def _collect_ai_data(
             # https://github.com/anthropics/anthropic-sdk-python/blob/9c485f6966e10ae0ea9eabb3a921d2ea8145a25b/src/anthropic/lib/streaming/_messages.py#L433-L518
             if event.type == "message_start":
                 model = event.message.model or model
+                response_id = event.message.id
 
                 incoming_usage = event.message.usage
                 usage.output_tokens = incoming_usage.output_tokens
@@ -162,6 +197,8 @@ def _collect_ai_data(
                     model,
                     usage,
                     content_blocks,
+                    response_id,
+                    finish_reason,
                 )
 
             # Counterintuitive, but message_delta contains cumulative token counts :)
@@ -186,16 +223,17 @@ def _collect_ai_data(
                     usage.cache_read_input_tokens = cache_read_input_tokens
                 # TODO: Record event.usage.server_tool_use
 
-                return (
-                    model,
-                    usage,
-                    content_blocks,
-                )
+                if event.delta.stop_reason is not None:
+                    finish_reason = event.delta.stop_reason
+
+                return (model, usage, content_blocks, response_id, finish_reason)
 
     return (
         model,
         usage,
         content_blocks,
+        response_id,
+        finish_reason,
     )
 
 
@@ -241,27 +279,33 @@ def _transform_system_instructions(
     ]
 
 
-def _set_input_data(
-    span: "Span", kwargs: "dict[str, Any]", integration: "AnthropicIntegration"
+def _set_common_input_data(
+    span: "Span",
+    integration: "AnthropicIntegration",
+    max_tokens: "int",
+    messages: "Iterable[MessageParam]",
+    model: "ModelParam",
+    system: "Optional[Union[str, Iterable[TextBlockParam]]]",
+    temperature: "Optional[float]",
+    top_k: "Optional[int]",
+    top_p: "Optional[float]",
+    tools: "Optional[Iterable[ToolUnionParam]]",
 ) -> None:
     """
     Set input data for the span based on the provided keyword arguments for the anthropic message creation.
     """
+    span.set_data(SPANDATA.GEN_AI_SYSTEM, "anthropic")
     span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "chat")
-    system_instructions: "Union[str, Iterable[TextBlockParam]]" = kwargs.get("system")  # type: ignore
-    messages = kwargs.get("messages")
     if (
         messages is not None
-        and len(messages) > 0
+        and len(messages) > 0  # type: ignore
         and should_send_default_pii()
         and integration.include_prompts
     ):
-        if isinstance(system_instructions, str) or isinstance(
-            system_instructions, Iterable
-        ):
+        if isinstance(system, str) or isinstance(system, Iterable):
             span.set_data(
                 SPANDATA.GEN_AI_SYSTEM_INSTRUCTIONS,
-                json.dumps(_transform_system_instructions(system_instructions)),
+                json.dumps(_transform_system_instructions(system)),
             )
 
         normalized_messages = []
@@ -317,25 +361,184 @@ def _set_input_data(
                 span, SPANDATA.GEN_AI_REQUEST_MESSAGES, messages_data, unpack=False
             )
 
+    if max_tokens is not None and _is_given(max_tokens):
+        span.set_data(SPANDATA.GEN_AI_REQUEST_MAX_TOKENS, max_tokens)
+    if model is not None and _is_given(model):
+        span.set_data(SPANDATA.GEN_AI_REQUEST_MODEL, model)
+    if temperature is not None and _is_given(temperature):
+        span.set_data(SPANDATA.GEN_AI_REQUEST_TEMPERATURE, temperature)
+    if top_k is not None and _is_given(top_k):
+        span.set_data(SPANDATA.GEN_AI_REQUEST_TOP_K, top_k)
+    if top_p is not None and _is_given(top_p):
+        span.set_data(SPANDATA.GEN_AI_REQUEST_TOP_P, top_p)
+
+    if tools is not None and _is_given(tools) and len(tools) > 0:  # type: ignore
+        span.set_data(SPANDATA.GEN_AI_REQUEST_AVAILABLE_TOOLS, safe_serialize(tools))
+
+
+def _set_create_input_data(
+    span: "Span", kwargs: "dict[str, Any]", integration: "AnthropicIntegration"
+) -> None:
+    """
+    Set input data for the span based on the provided keyword arguments for the anthropic message creation.
+    """
     span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, kwargs.get("stream", False))
 
-    kwargs_keys_to_attributes = {
-        "max_tokens": SPANDATA.GEN_AI_REQUEST_MAX_TOKENS,
-        "model": SPANDATA.GEN_AI_REQUEST_MODEL,
-        "temperature": SPANDATA.GEN_AI_REQUEST_TEMPERATURE,
-        "top_k": SPANDATA.GEN_AI_REQUEST_TOP_K,
-        "top_p": SPANDATA.GEN_AI_REQUEST_TOP_P,
-    }
-    for key, attribute in kwargs_keys_to_attributes.items():
-        value = kwargs.get(key)
-
-        if value is not None and _is_given(value):
-            span.set_data(attribute, value)
-
-    # Input attributes: Tools
-    tools = kwargs.get("tools")
-    if tools is not None and _is_given(tools) and len(tools) > 0:
-        span.set_data(SPANDATA.GEN_AI_REQUEST_AVAILABLE_TOOLS, safe_serialize(tools))
+    _set_common_input_data(
+        span=span,
+        integration=integration,
+        max_tokens=kwargs.get("max_tokens"),  # type: ignore
+        messages=kwargs.get("messages"),  # type: ignore
+        model=kwargs.get("model"),
+        system=kwargs.get("system"),
+        temperature=kwargs.get("temperature"),
+        top_k=kwargs.get("top_k"),
+        top_p=kwargs.get("top_p"),
+        tools=kwargs.get("tools"),
+    )
+
+
+def _wrap_synchronous_message_iterator(
+    iterator: "Iterator[Union[RawMessageStreamEvent, MessageStreamEvent]]",
+    span: "Span",
+    integration: "AnthropicIntegration",
+) -> "Iterator[Union[RawMessageStreamEvent, MessageStreamEvent]]":
+    """
+    Sets information received while iterating the response stream on the AI Client Span.
+    Responsible for closing the AI Client Span.
+    """
+
+    model = None
+    usage = _RecordedUsage()
+    content_blocks: "list[str]" = []
+    response_id = None
+    finish_reason = None
+
+    try:
+        for event in iterator:
+            # Message and content types are aliases for corresponding Raw* types, introduced in
+            # https://github.com/anthropics/anthropic-sdk-python/commit/bc9d11cd2addec6976c46db10b7c89a8c276101a
+            if not isinstance(
+                event,
+                (
+                    MessageStartEvent,
+                    MessageDeltaEvent,
+                    MessageStopEvent,
+                    ContentBlockStartEvent,
+                    ContentBlockDeltaEvent,
+                    ContentBlockStopEvent,
+                ),
+            ):
+                yield event
+                continue
+
+            (model, usage, content_blocks, response_id, finish_reason) = (
+                _collect_ai_data(
+                    event,
+                    model,
+                    usage,
+                    content_blocks,
+                    response_id,
+                    finish_reason,
+                )
+            )
+            yield event
+    finally:
+        with capture_internal_exceptions():
+            # Anthropic's input_tokens excludes cached/cache_write tokens.
+            # Normalize to total input tokens for correct cost calculations.
+            total_input = (
+                usage.input_tokens
+                + (usage.cache_read_input_tokens or 0)
+                + (usage.cache_write_input_tokens or 0)
+            )
+
+            _set_output_data(
+                span=span,
+                integration=integration,
+                model=model,
+                input_tokens=total_input,
+                output_tokens=usage.output_tokens,
+                cache_read_input_tokens=usage.cache_read_input_tokens,
+                cache_write_input_tokens=usage.cache_write_input_tokens,
+                content_blocks=[{"text": "".join(content_blocks), "type": "text"}],
+                finish_span=True,
+                response_id=response_id,
+                finish_reason=finish_reason,
+            )
+
+
+async def _wrap_asynchronous_message_iterator(
+    iterator: "AsyncIterator[Union[RawMessageStreamEvent, MessageStreamEvent]]",
+    span: "Span",
+    integration: "AnthropicIntegration",
+) -> "AsyncIterator[Union[RawMessageStreamEvent, MessageStreamEvent]]":
+    """
+    Sets information received while iterating the response stream on the AI Client Span.
+    Responsible for closing the AI Client Span.
+    """
+    model = None
+    usage = _RecordedUsage()
+    content_blocks: "list[str]" = []
+    response_id = None
+    finish_reason = None
+
+    try:
+        async for event in iterator:
+            # Message and content types are aliases for corresponding Raw* types, introduced in
+            # https://github.com/anthropics/anthropic-sdk-python/commit/bc9d11cd2addec6976c46db10b7c89a8c276101a
+            if not isinstance(
+                event,
+                (
+                    MessageStartEvent,
+                    MessageDeltaEvent,
+                    MessageStopEvent,
+                    ContentBlockStartEvent,
+                    ContentBlockDeltaEvent,
+                    ContentBlockStopEvent,
+                ),
+            ):
+                yield event
+                continue
+
+            (
+                model,
+                usage,
+                content_blocks,
+                response_id,
+                finish_reason,
+            ) = _collect_ai_data(
+                event,
+                model,
+                usage,
+                content_blocks,
+                response_id,
+                finish_reason,
+            )
+            yield event
+    finally:
+        with capture_internal_exceptions():
+            # Anthropic's input_tokens excludes cached/cache_write tokens.
+            # Normalize to total input tokens for correct cost calculations.
+            total_input = (
+                usage.input_tokens
+                + (usage.cache_read_input_tokens or 0)
+                + (usage.cache_write_input_tokens or 0)
+            )
+
+            _set_output_data(
+                span=span,
+                integration=integration,
+                model=model,
+                input_tokens=total_input,
+                output_tokens=usage.output_tokens,
+                cache_read_input_tokens=usage.cache_read_input_tokens,
+                cache_write_input_tokens=usage.cache_write_input_tokens,
+                content_blocks=[{"text": "".join(content_blocks), "type": "text"}],
+                finish_span=True,
+                response_id=response_id,
+                finish_reason=finish_reason,
+            )
 
 
 def _set_output_data(
@@ -348,10 +551,16 @@ def _set_output_data(
     cache_write_input_tokens: "int | None",
     content_blocks: "list[Any]",
     finish_span: bool = False,
+    response_id: "str | None" = None,
+    finish_reason: "str | None" = None,
 ) -> None:
     """
     Set output data for the span based on the AI response."""
     span.set_data(SPANDATA.GEN_AI_RESPONSE_MODEL, model)
+    if response_id is not None:
+        span.set_data(SPANDATA.GEN_AI_RESPONSE_ID, response_id)
+    if finish_reason is not None:
+        span.set_data(SPANDATA.GEN_AI_RESPONSE_FINISH_REASONS, [finish_reason])
     if should_send_default_pii() and integration.include_prompts:
         output_messages: "dict[str, list[Any]]" = {
             "response": [],
@@ -411,10 +620,22 @@ def _sentry_patched_create_common(f: "Any", *args: "Any", **kwargs: "Any") -> "A
     )
     span.__enter__()
 
-    _set_input_data(span, kwargs, integration)
+    _set_create_input_data(span, kwargs, integration)
 
     result = yield f, args, kwargs
 
+    if isinstance(result, Stream):
+        result._iterator = _wrap_synchronous_message_iterator(
+            result._iterator, span, integration
+        )
+        return result
+
+    if isinstance(result, AsyncStream):
+        result._iterator = _wrap_asynchronous_message_iterator(
+            result._iterator, span, integration
+        )
+        return result
+
     with capture_internal_exceptions():
         if hasattr(result, "content"):
             (
@@ -443,93 +664,9 @@ def _sentry_patched_create_common(f: "Any", *args: "Any", **kwargs: "Any") -> "A
                 cache_write_input_tokens=cache_write_input_tokens,
                 content_blocks=content_blocks,
                 finish_span=True,
+                response_id=getattr(result, "id", None),
+                finish_reason=getattr(result, "stop_reason", None),
             )
-
-        # Streaming response
-        elif hasattr(result, "_iterator"):
-            old_iterator = result._iterator
-
-            def new_iterator() -> "Iterator[MessageStreamEvent]":
-                model = None
-                usage = _RecordedUsage()
-                content_blocks: "list[str]" = []
-
-                for event in old_iterator:
-                    (
-                        model,
-                        usage,
-                        content_blocks,
-                    ) = _collect_ai_data(
-                        event,
-                        model,
-                        usage,
-                        content_blocks,
-                    )
-                    yield event
-
-                # Anthropic's input_tokens excludes cached/cache_write tokens.
-                # Normalize to total input tokens for correct cost calculations.
-                total_input = (
-                    usage.input_tokens
-                    + (usage.cache_read_input_tokens or 0)
-                    + (usage.cache_write_input_tokens or 0)
-                )
-
-                _set_output_data(
-                    span=span,
-                    integration=integration,
-                    model=model,
-                    input_tokens=total_input,
-                    output_tokens=usage.output_tokens,
-                    cache_read_input_tokens=usage.cache_read_input_tokens,
-                    cache_write_input_tokens=usage.cache_write_input_tokens,
-                    content_blocks=[{"text": "".join(content_blocks), "type": "text"}],
-                    finish_span=True,
-                )
-
-            async def new_iterator_async() -> "AsyncIterator[MessageStreamEvent]":
-                model = None
-                usage = _RecordedUsage()
-                content_blocks: "list[str]" = []
-
-                async for event in old_iterator:
-                    (
-                        model,
-                        usage,
-                        content_blocks,
-                    ) = _collect_ai_data(
-                        event,
-                        model,
-                        usage,
-                        content_blocks,
-                    )
-                    yield event
-
-                # Anthropic's input_tokens excludes cached/cache_write tokens.
-                # Normalize to total input tokens for correct cost calculations.
-                total_input = (
-                    usage.input_tokens
-                    + (usage.cache_read_input_tokens or 0)
-                    + (usage.cache_write_input_tokens or 0)
-                )
-
-                _set_output_data(
-                    span=span,
-                    integration=integration,
-                    model=model,
-                    input_tokens=total_input,
-                    output_tokens=usage.output_tokens,
-                    cache_read_input_tokens=usage.cache_read_input_tokens,
-                    cache_write_input_tokens=usage.cache_write_input_tokens,
-                    content_blocks=[{"text": "".join(content_blocks), "type": "text"}],
-                    finish_span=True,
-                )
-
-            if str(type(result._iterator)) == "<class 'async_generator'>":
-                result._iterator = new_iterator_async()
-            else:
-                result._iterator = new_iterator()
-
         else:
             span.set_data("unknown_response", True)
             span.__exit__(None, None, None)
@@ -613,6 +750,170 @@ async def _sentry_patched_create_async(*args: "Any", **kwargs: "Any") -> "Any":
     return _sentry_patched_create_async
 
 
+def _wrap_message_stream(f: "Any") -> "Any":
+    """
+    Attaches user-provided arguments to the returned context manager.
+    The attributes are set on AI Client Spans in the patch for the context manager.
+    """
+
+    @wraps(f)
+    def _sentry_patched_stream(*args: "Any", **kwargs: "Any") -> "MessageStreamManager":
+        stream_manager = f(*args, **kwargs)
+
+        stream_manager._max_tokens = kwargs.get("max_tokens")
+        stream_manager._messages = kwargs.get("messages")
+        stream_manager._model = kwargs.get("model")
+        stream_manager._system = kwargs.get("system")
+        stream_manager._temperature = kwargs.get("temperature")
+        stream_manager._top_k = kwargs.get("top_k")
+        stream_manager._top_p = kwargs.get("top_p")
+        stream_manager._tools = kwargs.get("tools")
+
+        return stream_manager
+
+    return _sentry_patched_stream
+
+
+def _wrap_message_stream_manager_enter(f: "Any") -> "Any":
+    """
+    Creates and manages AI Client Spans.
+    """
+
+    @wraps(f)
+    def _sentry_patched_enter(self: "MessageStreamManager") -> "MessageStream":
+        stream = f(self)
+        if not hasattr(self, "_max_tokens"):
+            return stream
+
+        integration = sentry_sdk.get_client().get_integration(AnthropicIntegration)
+
+        if integration is None:
+            return stream
+
+        if self._messages is None:
+            return stream
+
+        try:
+            iter(self._messages)
+        except TypeError:
+            return stream
+
+        span = get_start_span_function()(
+            op=OP.GEN_AI_CHAT,
+            name="chat" if self._model is None else f"chat {self._model}".strip(),
+            origin=AnthropicIntegration.origin,
+        )
+        span.__enter__()
+
+        span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, True)
+        _set_common_input_data(
+            span=span,
+            integration=integration,
+            max_tokens=self._max_tokens,
+            messages=self._messages,
+            model=self._model,
+            system=self._system,
+            temperature=self._temperature,
+            top_k=self._top_k,
+            top_p=self._top_p,
+            tools=self._tools,
+        )
+
+        stream._iterator = _wrap_synchronous_message_iterator(
+            iterator=stream._iterator,
+            span=span,
+            integration=integration,
+        )
+
+        return stream
+
+    return _sentry_patched_enter
+
+
+def _wrap_async_message_stream(f: "Any") -> "Any":
+    """
+    Attaches user-provided arguments to the returned context manager.
+    The attributes are set on AI Client Spans in the patch for the context manager.
+    """
+
+    @wraps(f)
+    def _sentry_patched_stream(
+        *args: "Any", **kwargs: "Any"
+    ) -> "AsyncMessageStreamManager":
+        stream_manager = f(*args, **kwargs)
+
+        stream_manager._max_tokens = kwargs.get("max_tokens")
+        stream_manager._messages = kwargs.get("messages")
+        stream_manager._model = kwargs.get("model")
+        stream_manager._system = kwargs.get("system")
+        stream_manager._temperature = kwargs.get("temperature")
+        stream_manager._top_k = kwargs.get("top_k")
+        stream_manager._top_p = kwargs.get("top_p")
+        stream_manager._tools = kwargs.get("tools")
+
+        return stream_manager
+
+    return _sentry_patched_stream
+
+
+def _wrap_async_message_stream_manager_aenter(f: "Any") -> "Any":
+    """
+    Creates and manages AI Client Spans.
+    """
+
+    @wraps(f)
+    async def _sentry_patched_aenter(
+        self: "AsyncMessageStreamManager",
+    ) -> "AsyncMessageStream":
+        stream = await f(self)
+        if not hasattr(self, "_max_tokens"):
+            return stream
+
+        integration = sentry_sdk.get_client().get_integration(AnthropicIntegration)
+
+        if integration is None:
+            return stream
+
+        if self._messages is None:
+            return stream
+
+        try:
+            iter(self._messages)
+        except TypeError:
+            return stream
+
+        span = get_start_span_function()(
+            op=OP.GEN_AI_CHAT,
+            name="chat" if self._model is None else f"chat {self._model}".strip(),
+            origin=AnthropicIntegration.origin,
+        )
+        span.__enter__()
+
+        span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, True)
+        _set_common_input_data(
+            span=span,
+            integration=integration,
+            max_tokens=self._max_tokens,
+            messages=self._messages,
+            model=self._model,
+            system=self._system,
+            temperature=self._temperature,
+            top_k=self._top_k,
+            top_p=self._top_p,
+            tools=self._tools,
+        )
+
+        stream._iterator = _wrap_asynchronous_message_iterator(
+            iterator=stream._iterator,
+            span=span,
+            integration=integration,
+        )
+
+        return stream
+
+    return _sentry_patched_aenter
+
+
 def _is_given(obj: "Any") -> bool:
     """
     Check for givenness safely across different anthropic versions.
diff --git a/sentry_sdk/integrations/celery/__init__.py b/sentry_sdk/integrations/celery/__init__.py
index fe832f159e..b8b1691979 100644
--- a/sentry_sdk/integrations/celery/__init__.py
+++ b/sentry_sdk/integrations/celery/__init__.py
@@ -14,7 +14,7 @@
 )
 from sentry_sdk.integrations.celery.utils import _now_seconds_since_epoch
 from sentry_sdk.integrations.logging import ignore_logger
-from sentry_sdk.tracing import BAGGAGE_HEADER_NAME, TransactionSource
+from sentry_sdk.tracing import BAGGAGE_HEADER_NAME, Span, TransactionSource
 from sentry_sdk.tracing_utils import Baggage
 from sentry_sdk.utils import (
     capture_internal_exceptions,
@@ -34,7 +34,6 @@
     from typing import Union
 
     from sentry_sdk._types import EventProcessor, Event, Hint, ExcInfo
-    from sentry_sdk.tracing import Span
 
     F = TypeVar("F", bound=Callable[..., Any])
 
@@ -100,7 +99,10 @@ def _set_status(status: str) -> None:
     with capture_internal_exceptions():
         scope = sentry_sdk.get_current_scope()
         if scope.span is not None:
-            scope.span.set_status(status)
+            if isinstance(scope.span, Span):
+                scope.span.set_status(status)
+            else:
+                scope.span.status = "ok" if status == "ok" else "error"
 
 
 def _capture_exception(task: "Any", exc_info: "ExcInfo") -> None:
diff --git a/sentry_sdk/integrations/django/tasks.py b/sentry_sdk/integrations/django/tasks.py
index 84bc4d2396..e6adb914e8 100644
--- a/sentry_sdk/integrations/django/tasks.py
+++ b/sentry_sdk/integrations/django/tasks.py
@@ -2,12 +2,11 @@
 
 import sentry_sdk
 from sentry_sdk.consts import OP
-from sentry_sdk.tracing import SPANSTATUS
 from sentry_sdk.utils import qualname_from_function
 
 try:
     # django.tasks were added in Django 6.0
-    from django.tasks.base import Task, TaskResultStatus
+    from django.tasks.base import Task
 except ImportError:
     Task = None
 
diff --git a/sentry_sdk/integrations/google_genai/streaming.py b/sentry_sdk/integrations/google_genai/streaming.py
index 8649ce2ac0..3405fe2b2a 100644
--- a/sentry_sdk/integrations/google_genai/streaming.py
+++ b/sentry_sdk/integrations/google_genai/streaming.py
@@ -1,4 +1,4 @@
-from typing import TYPE_CHECKING, Any, List, TypedDict, Optional, Union
+from typing import TYPE_CHECKING, Any, List, TypedDict, Optional
 
 from sentry_sdk.ai.utils import set_data_normalized
 from sentry_sdk.consts import SPANDATA
diff --git a/sentry_sdk/integrations/google_genai/utils.py b/sentry_sdk/integrations/google_genai/utils.py
index b2d6499843..28b54a8bcd 100644
--- a/sentry_sdk/integrations/google_genai/utils.py
+++ b/sentry_sdk/integrations/google_genai/utils.py
@@ -5,7 +5,6 @@
 from .consts import ORIGIN, TOOL_ATTRIBUTES_MAP, GEN_AI_SYSTEM
 from sentry_sdk._types import BLOB_DATA_SUBSTITUTE
 from typing import (
-    cast,
     TYPE_CHECKING,
     Iterable,
     Any,
@@ -22,7 +21,6 @@
     set_data_normalized,
     truncate_and_annotate_messages,
     normalize_message_roles,
-    redact_blob_message_parts,
     transform_google_content_part,
     get_modality_from_mime_type,
 )
diff --git a/sentry_sdk/integrations/grpc/aio/server.py b/sentry_sdk/integrations/grpc/aio/server.py
index 3ed15c2de6..1e9eac8920 100644
--- a/sentry_sdk/integrations/grpc/aio/server.py
+++ b/sentry_sdk/integrations/grpc/aio/server.py
@@ -2,7 +2,7 @@
 from sentry_sdk.consts import OP
 from sentry_sdk.integrations import DidNotEnable
 from sentry_sdk.integrations.grpc.consts import SPAN_ORIGIN
-from sentry_sdk.tracing import Transaction, TransactionSource
+from sentry_sdk.tracing import TransactionSource
 from sentry_sdk.utils import event_from_exception
 
 from typing import TYPE_CHECKING
diff --git a/sentry_sdk/integrations/grpc/server.py b/sentry_sdk/integrations/grpc/server.py
index 7c06fd405a..af01f37fb2 100644
--- a/sentry_sdk/integrations/grpc/server.py
+++ b/sentry_sdk/integrations/grpc/server.py
@@ -2,7 +2,7 @@
 from sentry_sdk.consts import OP
 from sentry_sdk.integrations import DidNotEnable
 from sentry_sdk.integrations.grpc.consts import SPAN_ORIGIN
-from sentry_sdk.tracing import Transaction, TransactionSource
+from sentry_sdk.tracing import TransactionSource
 
 from typing import TYPE_CHECKING
 
diff --git a/sentry_sdk/integrations/langchain.py b/sentry_sdk/integrations/langchain.py
index 7a5e863e4d..d19d9bbdd5 100644
--- a/sentry_sdk/integrations/langchain.py
+++ b/sentry_sdk/integrations/langchain.py
@@ -554,7 +554,8 @@ def on_llm_end(
                     finish_reason = generation.generation_info.get("finish_reason")
                     if finish_reason is not None:
                         span.set_data(
-                            SPANDATA.GEN_AI_RESPONSE_FINISH_REASONS, finish_reason
+                            SPANDATA.GEN_AI_RESPONSE_FINISH_REASONS,
+                            [finish_reason],
                         )
                 except AttributeError:
                     pass
diff --git a/sentry_sdk/integrations/openai.py b/sentry_sdk/integrations/openai.py
index b1995a6287..a5556b8776 100644
--- a/sentry_sdk/integrations/openai.py
+++ b/sentry_sdk/integrations/openai.py
@@ -71,7 +71,6 @@
         from openai.types.chat import (
             ChatCompletionMessageParam,
             ChatCompletionChunk,
-            ChatCompletionSystemMessageParam,
         )
 except ImportError:
     raise DidNotEnable("OpenAI not installed")
diff --git a/sentry_sdk/integrations/openai_agents/__init__.py b/sentry_sdk/integrations/openai_agents/__init__.py
index 4d778676ac..1268ef3755 100644
--- a/sentry_sdk/integrations/openai_agents/__init__.py
+++ b/sentry_sdk/integrations/openai_agents/__init__.py
@@ -22,7 +22,6 @@
     # not installed. That's why we're adding the second, more specific import
     # after it, even if we don't use it.
     import agents
-    from agents.run import DEFAULT_AGENT_RUNNER
     from agents.run import AgentRunner
     from agents.version import __version__ as OPENAI_AGENTS_VERSION
 
diff --git a/sentry_sdk/integrations/openai_agents/patches/__init__.py b/sentry_sdk/integrations/openai_agents/patches/__init__.py
index e3be2776b3..9ab9e7fab6 100644
--- a/sentry_sdk/integrations/openai_agents/patches/__init__.py
+++ b/sentry_sdk/integrations/openai_agents/patches/__init__.py
@@ -2,9 +2,9 @@
 from .tools import _get_all_tools  # noqa: F401
 from .runner import _create_run_wrapper, _create_run_streamed_wrapper  # noqa: F401
 from .agent_run import (
-    _run_single_turn,
-    _run_single_turn_streamed,
-    _execute_handoffs,
-    _execute_final_output,
-)  # noqa: F401
+    _run_single_turn,  # noqa: F401
+    _run_single_turn_streamed,  # noqa: F401
+    _execute_handoffs,  # noqa: F401
+    _execute_final_output,  # noqa: F401
+)
 from .error_tracing import _patch_error_tracing  # noqa: F401
diff --git a/sentry_sdk/integrations/openai_agents/patches/agent_run.py b/sentry_sdk/integrations/openai_agents/patches/agent_run.py
index a828532ab3..040b10b668 100644
--- a/sentry_sdk/integrations/openai_agents/patches/agent_run.py
+++ b/sentry_sdk/integrations/openai_agents/patches/agent_run.py
@@ -1,5 +1,4 @@
 import sys
-from functools import wraps
 
 from sentry_sdk.consts import SPANDATA
 from sentry_sdk.integrations import DidNotEnable
diff --git a/sentry_sdk/integrations/openai_agents/patches/error_tracing.py b/sentry_sdk/integrations/openai_agents/patches/error_tracing.py
index 8598d9c4fd..9d6fd59e0f 100644
--- a/sentry_sdk/integrations/openai_agents/patches/error_tracing.py
+++ b/sentry_sdk/integrations/openai_agents/patches/error_tracing.py
@@ -1,14 +1,12 @@
 from functools import wraps
 
 import sentry_sdk
-from sentry_sdk.consts import SPANSTATUS
-from sentry_sdk.tracing_utils import set_span_errored
 from ..utils import _record_exception_on_span
 
 from typing import TYPE_CHECKING
 
 if TYPE_CHECKING:
-    from typing import Any, Callable, Optional
+    from typing import Any
 
 
 def _patch_error_tracing() -> None:
diff --git a/sentry_sdk/integrations/openai_agents/spans/__init__.py b/sentry_sdk/integrations/openai_agents/spans/__init__.py
index 64b979fc25..2187c4ee51 100644
--- a/sentry_sdk/integrations/openai_agents/spans/__init__.py
+++ b/sentry_sdk/integrations/openai_agents/spans/__init__.py
@@ -3,7 +3,7 @@
 from .execute_tool import execute_tool_span, update_execute_tool_span  # noqa: F401
 from .handoff import handoff_span  # noqa: F401
 from .invoke_agent import (
-    invoke_agent_span,
-    update_invoke_agent_span,
-    end_invoke_agent_span,
-)  # noqa: F401
+    invoke_agent_span,  # noqa: F401
+    update_invoke_agent_span,  # noqa: F401
+    end_invoke_agent_span,  # noqa: F401
+)
diff --git a/sentry_sdk/integrations/openai_agents/utils.py b/sentry_sdk/integrations/openai_agents/utils.py
index 15119a393c..e496ed7fb5 100644
--- a/sentry_sdk/integrations/openai_agents/utils.py
+++ b/sentry_sdk/integrations/openai_agents/utils.py
@@ -11,6 +11,7 @@
 from sentry_sdk.consts import SPANDATA, SPANSTATUS, OP
 from sentry_sdk.integrations import DidNotEnable
 from sentry_sdk.scope import should_send_default_pii
+from sentry_sdk.tracing import Span
 from sentry_sdk.tracing_utils import set_span_errored
 from sentry_sdk.utils import event_from_exception, safe_serialize
 from sentry_sdk.ai._openai_completions_api import _transform_system_instructions
@@ -22,10 +23,10 @@
 from typing import TYPE_CHECKING
 
 if TYPE_CHECKING:
-    from typing import Any
+    from typing import Any, Union
     from agents import Usage, TResponseInputItem
 
-    from sentry_sdk.tracing import Span
+    from sentry_sdk.traces import StreamedSpan
     from sentry_sdk._types import TextPart
 
 try:
@@ -46,8 +47,15 @@ def _capture_exception(exc: "Any") -> None:
     sentry_sdk.capture_event(event, hint=hint)
 
 
-def _record_exception_on_span(span: "Span", error: Exception) -> "Any":
+def _record_exception_on_span(
+    span: "Union[Span, StreamedSpan]", error: Exception
+) -> "Any":
     set_span_errored(span)
+
+    if not isinstance(span, Span):
+        # TODO[span-first]: make this work with streamedspans
+        return
+
     span.set_data("span.status", "error")
 
     # Optionally capture the error details if we have them
diff --git a/sentry_sdk/integrations/pydantic_ai/__init__.py b/sentry_sdk/integrations/pydantic_ai/__init__.py
index 2f1808d14f..0f0de53fa5 100644
--- a/sentry_sdk/integrations/pydantic_ai/__init__.py
+++ b/sentry_sdk/integrations/pydantic_ai/__init__.py
@@ -2,7 +2,7 @@
 
 
 try:
-    import pydantic_ai  # type: ignore
+    import pydantic_ai  # type: ignore # noqa: F401
 except ImportError:
     raise DidNotEnable("pydantic-ai not installed")
 
diff --git a/sentry_sdk/integrations/pydantic_ai/patches/graph_nodes.py b/sentry_sdk/integrations/pydantic_ai/patches/graph_nodes.py
index 56e46d869f..afb10395f4 100644
--- a/sentry_sdk/integrations/pydantic_ai/patches/graph_nodes.py
+++ b/sentry_sdk/integrations/pydantic_ai/patches/graph_nodes.py
@@ -1,7 +1,6 @@
 from contextlib import asynccontextmanager
 from functools import wraps
 
-import sentry_sdk
 from sentry_sdk.integrations import DidNotEnable
 
 from ..spans import (
diff --git a/sentry_sdk/integrations/pydantic_ai/spans/ai_client.py b/sentry_sdk/integrations/pydantic_ai/spans/ai_client.py
index 8e0b6b9f35..dc95acad45 100644
--- a/sentry_sdk/integrations/pydantic_ai/spans/ai_client.py
+++ b/sentry_sdk/integrations/pydantic_ai/spans/ai_client.py
@@ -29,7 +29,6 @@
 
 if TYPE_CHECKING:
     from typing import Any, List, Dict
-    from pydantic_ai.usage import RequestUsage  # type: ignore
     from pydantic_ai.messages import ModelMessage, SystemPromptPart  # type: ignore
     from sentry_sdk._types import TextPart as SentryTextPart
 
diff --git a/sentry_sdk/integrations/strawberry.py b/sentry_sdk/integrations/strawberry.py
index 12676b53eb..a12ee63e2a 100644
--- a/sentry_sdk/integrations/strawberry.py
+++ b/sentry_sdk/integrations/strawberry.py
@@ -13,9 +13,7 @@
     capture_internal_exceptions,
     ensure_integration_enabled,
     event_from_exception,
-    logger,
     package_version,
-    _get_installed_modules,
 )
 
 try:
diff --git a/sentry_sdk/logger.py b/sentry_sdk/logger.py
index 4a90fef70b..ee6184105a 100644
--- a/sentry_sdk/logger.py
+++ b/sentry_sdk/logger.py
@@ -4,10 +4,10 @@
 from typing import Any, TYPE_CHECKING
 
 import sentry_sdk
-from sentry_sdk.utils import format_attribute, safe_repr, capture_internal_exceptions
+from sentry_sdk.utils import format_attribute, capture_internal_exceptions
 
 if TYPE_CHECKING:
-    from sentry_sdk._types import Attributes, Log
+    from sentry_sdk._types import Attributes
 
 
 OTEL_RANGES = [
diff --git a/sentry_sdk/metrics.py b/sentry_sdk/metrics.py
index 167e49da05..fb5f21ec4e 100644
--- a/sentry_sdk/metrics.py
+++ b/sentry_sdk/metrics.py
@@ -1,8 +1,8 @@
 import time
-from typing import Any, Optional, TYPE_CHECKING, Union
+from typing import Any, Optional, TYPE_CHECKING
 
 import sentry_sdk
-from sentry_sdk.utils import format_attribute, safe_repr
+from sentry_sdk.utils import format_attribute
 
 if TYPE_CHECKING:
     from sentry_sdk._types import Attributes, Metric, MetricType
diff --git a/sentry_sdk/profiler/continuous_profiler.py b/sentry_sdk/profiler/continuous_profiler.py
index a4c16a63d5..aeeae3fb1d 100644
--- a/sentry_sdk/profiler/continuous_profiler.py
+++ b/sentry_sdk/profiler/continuous_profiler.py
@@ -308,7 +308,7 @@ def reset_buffer(self) -> None:
 
     @property
     def profiler_id(self) -> "Union[str, None]":
-        if self.buffer is None:
+        if not self.running or self.buffer is None:
             return None
         return self.buffer.profiler_id
 
@@ -436,9 +436,9 @@ def run(self) -> None:
             # timestamp so we can use it next iteration
             last = time.perf_counter()
 
-        if self.buffer is not None:
-            self.buffer.flush()
-            self.buffer = None
+        buffer = self.buffer
+        if buffer is not None:
+            buffer.flush()
 
 
 class ThreadContinuousScheduler(ContinuousScheduler):
diff --git a/sentry_sdk/scope.py b/sentry_sdk/scope.py
index a3477cb200..e92c0bf7fc 100644
--- a/sentry_sdk/scope.py
+++ b/sentry_sdk/scope.py
@@ -32,7 +32,6 @@
     has_span_streaming_enabled,
     is_ignored_span,
     _make_sampling_decision,
-    normalize_incoming_data,
     PropagationContext,
 )
 from sentry_sdk.traces import _DEFAULT_PARENT_SPAN, StreamedSpan, NoOpStreamedSpan
@@ -57,7 +56,6 @@
     has_metrics_enabled,
 )
 
-import typing
 from typing import TYPE_CHECKING, cast
 
 if TYPE_CHECKING:
@@ -583,8 +581,12 @@ def get_traceparent(self, *args: "Any", **kwargs: "Any") -> "Optional[str]":
         client = self.get_client()
 
         # If we have an active span, return traceparent from there
-        if has_tracing_enabled(client.options) and self.span is not None:
-            return self.span.to_traceparent()
+        if (
+            has_tracing_enabled(client.options)
+            and self.span is not None
+            and not isinstance(self.span, NoOpStreamedSpan)
+        ):
+            return self.span._to_traceparent()
 
         # else return traceparent from the propagation context
         return self.get_active_propagation_context().to_traceparent()
@@ -597,8 +599,12 @@ def get_baggage(self, *args: "Any", **kwargs: "Any") -> "Optional[Baggage]":
         client = self.get_client()
 
         # If we have an active span, return baggage from there
-        if has_tracing_enabled(client.options) and self.span is not None:
-            return self.span.to_baggage()
+        if (
+            has_tracing_enabled(client.options)
+            and self.span is not None
+            and not isinstance(self.span, NoOpStreamedSpan)
+        ):
+            return self.span._to_baggage()
 
         # else return baggage from the propagation context
         return self.get_active_propagation_context().get_baggage()
@@ -607,8 +613,12 @@ def get_trace_context(self) -> "Dict[str, Any]":
         """
         Returns the Sentry "trace" context from the Propagation Context.
         """
-        if has_tracing_enabled(self.get_client().options) and self._span is not None:
-            return self._span.get_trace_context()
+        if (
+            has_tracing_enabled(self.get_client().options)
+            and self._span is not None
+            and not isinstance(self._span, NoOpStreamedSpan)
+        ):
+            return self._span._get_trace_context()
 
         # if we are tracing externally (otel), those values take precedence
         external_propagation_context = get_external_propagation_context()
@@ -672,8 +682,12 @@ def iter_trace_propagation_headers(
         span = kwargs.pop("span", None)
         span = span or self.span
 
-        if has_tracing_enabled(client.options) and span is not None:
-            for header in span.iter_headers():
+        if (
+            has_tracing_enabled(client.options)
+            and span is not None
+            and not isinstance(span, NoOpStreamedSpan)
+        ):
+            for header in span._iter_headers():
                 yield header
         elif has_external_propagation_context():
             # when we have an external_propagation_context (otlp)
@@ -720,7 +734,7 @@ def clear(self) -> None:
         self.clear_breadcrumbs()
         self._should_capture: bool = True
 
-        self._span: "Optional[Span]" = None
+        self._span: "Optional[Union[Span, StreamedSpan]]" = None
         self._session: "Optional[Session]" = None
         self._force_auto_session_tracking: "Optional[bool]" = None
 
@@ -774,6 +788,14 @@ def transaction(self) -> "Any":
         if self._span is None:
             return None
 
+        if isinstance(self._span, StreamedSpan):
+            warnings.warn(
+                "Scope.transaction is not available in streaming mode.",
+                DeprecationWarning,
+                stacklevel=2,
+            )
+            return None
+
         # there is an orphan span on the scope
         if self._span.containing_transaction is None:
             return None
@@ -803,17 +825,36 @@ def transaction(self, value: "Any") -> None:
             "Assigning to scope.transaction directly is deprecated: use scope.set_transaction_name() instead."
         )
         self._transaction = value
-        if self._span and self._span.containing_transaction:
-            self._span.containing_transaction.name = value
+        if self._span:
+            if isinstance(self._span, StreamedSpan):
+                warnings.warn(
+                    "Scope.transaction is not available in streaming mode.",
+                    DeprecationWarning,
+                    stacklevel=2,
+                )
+                return None
+
+            if self._span.containing_transaction:
+                self._span.containing_transaction.name = value
 
     def set_transaction_name(self, name: str, source: "Optional[str]" = None) -> None:
         """Set the transaction name and optionally the transaction source."""
         self._transaction = name
-
-        if self._span and self._span.containing_transaction:
-            self._span.containing_transaction.name = name
-            if source:
-                self._span.containing_transaction.source = source
+        if self._span:
+            if isinstance(self._span, NoOpStreamedSpan):
+                return
+
+            elif isinstance(self._span, StreamedSpan):
+                self._span._segment.name = name
+                if source:
+                    self._span._segment.set_attribute(
+                        "sentry.span.source", getattr(source, "value", source)
+                    )
+
+            elif self._span.containing_transaction:
+                self._span.containing_transaction.name = name
+                if source:
+                    self._span.containing_transaction.source = source
 
         if source:
             self._transaction_info["source"] = source
@@ -836,12 +877,12 @@ def set_user(self, value: "Optional[Dict[str, Any]]") -> None:
             session.update(user=value)
 
     @property
-    def span(self) -> "Optional[Span]":
+    def span(self) -> "Optional[Union[Span, StreamedSpan]]":
         """Get/set current tracing span or transaction."""
         return self._span
 
     @span.setter
-    def span(self, span: "Optional[Span]") -> None:
+    def span(self, span: "Optional[Union[Span, StreamedSpan]]") -> None:
         self._span = span
         # XXX: this differs from the implementation in JS, there Scope.setSpan
         # does not set Scope._transactionName.
@@ -1150,6 +1191,15 @@ def start_span(
         be removed in the next major version. Going forward, it should only
         be used by the SDK itself.
         """
+        client = sentry_sdk.get_client()
+        if has_span_streaming_enabled(client.options):
+            warnings.warn(
+                "Scope.start_span is not available in streaming mode.",
+                DeprecationWarning,
+                stacklevel=2,
+            )
+            return NoOpSpan()
+
         if kwargs.get("description") is not None:
             warnings.warn(
                 "The `description` parameter is deprecated. Please use `name` instead.",
@@ -1169,6 +1219,9 @@ def start_span(
 
             # get current span or transaction
             span = self.span or self.get_isolation_scope().span
+            if isinstance(span, StreamedSpan):
+                # make mypy happy
+                return NoOpSpan()
 
             if span is None:
                 # New spans get the `trace_id` from the scope
diff --git a/sentry_sdk/traces.py b/sentry_sdk/traces.py
index adf77a4ca8..944e17e5d7 100644
--- a/sentry_sdk/traces.py
+++ b/sentry_sdk/traces.py
@@ -15,6 +15,11 @@
 
 import sentry_sdk
 from sentry_sdk.consts import SPANDATA
+from sentry_sdk.profiler.continuous_profiler import (
+    get_profiler_id,
+    try_autostart_continuous_profiler,
+    try_profile_lifecycle_trace_start,
+)
 from sentry_sdk.tracing_utils import Baggage
 from sentry_sdk.utils import (
     capture_internal_exceptions,
@@ -26,13 +31,18 @@
 )
 
 if TYPE_CHECKING:
-    from typing import Any, Callable, Optional, ParamSpec, TypeVar, Union
+    from typing import Any, Callable, Iterator, Optional, ParamSpec, TypeVar, Union
     from sentry_sdk._types import Attributes, AttributeValue
+    from sentry_sdk.profiler.continuous_profiler import ContinuousProfile
 
     P = ParamSpec("P")
     R = TypeVar("R")
 
 
+BAGGAGE_HEADER_NAME = "baggage"
+SENTRY_TRACE_HEADER_NAME = "sentry-trace"
+
+
 class SpanStatus(str, Enum):
     OK = "ok"
     ERROR = "error"
@@ -228,6 +238,7 @@ class StreamedSpan:
         "_baggage",
         "_sample_rand",
         "_sample_rate",
+        "_continuous_profile",
     )
 
     def __init__(
@@ -280,6 +291,10 @@ def __init__(
 
         self._update_active_thread()
 
+        self._continuous_profile: "Optional[ContinuousProfile]" = None
+        self._start_profile()
+        self._set_profile_id(get_profiler_id())
+
         self._start()
 
     def __repr__(self) -> str:
@@ -328,7 +343,7 @@ def finish(self, end_timestamp: "Optional[Union[float, datetime]]" = None) -> No
     def _start(self) -> None:
         if self._active:
             old_span = self._scope.span
-            self._scope.span = self  # type: ignore
+            self._scope.span = self
             self._previous_span_on_scope = old_span
 
     def _end(self, end_timestamp: "Optional[Union[float, datetime]]" = None) -> None:
@@ -336,6 +351,11 @@ def _end(self, end_timestamp: "Optional[Union[float, datetime]]" = None) -> None
             # This span is already finished, ignore.
             return
 
+        # Stop the profiler
+        if self._is_segment() and self._continuous_profile is not None:
+            with capture_internal_exceptions():
+                self._continuous_profile.stop()
+
         # Detach from scope
         if self._active:
             with capture_internal_exceptions():
@@ -463,6 +483,79 @@ def _update_active_thread(self) -> None:
             if thread_name is not None:
                 self.set_attribute(SPANDATA.THREAD_NAME, thread_name)
 
+    def _dynamic_sampling_context(self) -> "dict[str, str]":
+        return self._segment._get_baggage().dynamic_sampling_context()
+
+    def _to_traceparent(self) -> str:
+        if self.sampled is True:
+            sampled = "1"
+        elif self.sampled is False:
+            sampled = "0"
+        else:
+            sampled = None
+
+        traceparent = "%s-%s" % (self.trace_id, self.span_id)
+        if sampled is not None:
+            traceparent += "-%s" % (sampled,)
+
+        return traceparent
+
+    def _to_baggage(self) -> "Optional[Baggage]":
+        if self._segment:
+            return self._segment._get_baggage()
+        return None
+
+    def _get_baggage(self) -> "Baggage":
+        """
+        Return the :py:class:`~sentry_sdk.tracing_utils.Baggage` associated with
+        the segment.
+
+        The first time a new baggage with Sentry items is made, it will be frozen.
+        """
+        if not self._baggage or self._baggage.mutable:
+            self._baggage = Baggage.populate_from_segment(self)
+
+        return self._baggage
+
+    def _iter_headers(self) -> "Iterator[tuple[str, str]]":
+        if not self._segment:
+            return
+
+        yield SENTRY_TRACE_HEADER_NAME, self._to_traceparent()
+
+        baggage = self._segment._get_baggage().serialize()
+        if baggage:
+            yield BAGGAGE_HEADER_NAME, baggage
+
+    def _get_trace_context(self) -> "dict[str, Any]":
+        # Even if spans themselves are not event-based anymore, we need this
+        # to populate trace context on events
+        context: "dict[str, Any]" = {
+            "trace_id": self.trace_id,
+            "span_id": self.span_id,
+            "parent_span_id": self._parent_span_id,
+            "dynamic_sampling_context": self._dynamic_sampling_context(),
+        }
+
+        if "sentry.op" in self._attributes:
+            context["op"] = self._attributes["sentry.op"]
+        if "sentry.origin" in self._attributes:
+            context["origin"] = self._attributes["sentry.origin"]
+
+        return context
+
+    def _set_profile_id(self, profiler_id: "Optional[str]") -> None:
+        if profiler_id is not None:
+            self.set_attribute("sentry.profiler_id", profiler_id)
+
+    def _start_profile(self) -> None:
+        if not self._is_segment():
+            return
+
+        try_autostart_continuous_profiler()
+
+        self._continuous_profile = try_profile_lifecycle_trace_start()
+
 
 class NoOpStreamedSpan(StreamedSpan):
     __slots__ = (
@@ -498,7 +591,7 @@ def _start(self) -> None:
             return
 
         old_span = self._scope.span
-        self._scope.span = self  # type: ignore
+        self._scope.span = self
         self._previous_span_on_scope = old_span
 
     def _end(self, end_timestamp: "Optional[Union[float, datetime]]" = None) -> None:
diff --git a/sentry_sdk/tracing.py b/sentry_sdk/tracing.py
index a778da7361..7f2baba0c9 100644
--- a/sentry_sdk/tracing.py
+++ b/sentry_sdk/tracing.py
@@ -25,7 +25,6 @@
         List,
         Optional,
         ParamSpec,
-        Set,
         Tuple,
         TypeVar,
         Union,
@@ -771,6 +770,12 @@ def update_active_thread(self) -> None:
         thread_id, thread_name = get_current_thread_meta()
         self.set_thread(thread_id, thread_name)
 
+    # Private aliases matching StreamedSpan's private API
+    _to_traceparent = to_traceparent
+    _to_baggage = to_baggage
+    _iter_headers = iter_headers
+    _get_trace_context = get_trace_context
+
 
 class Transaction(Span):
     """The Transaction is the root element that holds all the spans
@@ -1243,6 +1248,10 @@ def _set_initial_sampling_decision(
                 )
             )
 
+    # Private aliases matching StreamedSpan's private API
+    _get_baggage = get_baggage
+    _get_trace_context = get_trace_context
+
 
 class NoOpSpan(Span):
     def __repr__(self) -> str:
@@ -1324,6 +1333,13 @@ def _set_initial_sampling_decision(
     ) -> None:
         pass
 
+    # Private aliases matching StreamedSpan's private API
+    _to_traceparent = to_traceparent
+    _to_baggage = to_baggage
+    _get_baggage = get_baggage
+    _iter_headers = iter_headers
+    _get_trace_context = get_trace_context
+
 
 if TYPE_CHECKING:
 
diff --git a/sentry_sdk/tracing_utils.py b/sentry_sdk/tracing_utils.py
index d8d1d3d712..9efb01000c 100644
--- a/sentry_sdk/tracing_utils.py
+++ b/sentry_sdk/tracing_utils.py
@@ -767,6 +767,55 @@ def populate_from_transaction(
 
         return Baggage(sentry_items, mutable=False)
 
+    @classmethod
+    def populate_from_segment(cls, segment: "StreamedSpan") -> "Baggage":
+        """
+        Populate fresh baggage entry with sentry_items and make it immutable
+        if this is the head SDK which originates traces.
+        """
+        client = sentry_sdk.get_client()
+        sentry_items: "Dict[str, str]" = {}
+
+        if not client.is_active():
+            return Baggage(sentry_items)
+
+        options = client.options or {}
+
+        sentry_items["trace_id"] = segment.trace_id
+        sentry_items["sample_rand"] = f"{segment._sample_rand:.6f}"  # noqa: E231
+
+        if options.get("environment"):
+            sentry_items["environment"] = options["environment"]
+
+        if options.get("release"):
+            sentry_items["release"] = options["release"]
+
+        if client.parsed_dsn:
+            sentry_items["public_key"] = client.parsed_dsn.public_key
+            if client.parsed_dsn.org_id:
+                sentry_items["org_id"] = client.parsed_dsn.org_id
+
+        if (
+            segment.get_attributes().get("sentry.span.source")
+            not in LOW_QUALITY_SEGMENT_SOURCES
+        ) and segment._name:
+            sentry_items["transaction"] = segment._name
+
+        if segment._sample_rate is not None:
+            sentry_items["sample_rate"] = str(segment._sample_rate)
+
+        if segment.sampled is not None:
+            sentry_items["sampled"] = "true" if segment.sampled else "false"
+
+        # There's an existing baggage but it was mutable, which is why we are
+        # creating this new baggage.
+        # However, if by chance the user put some sentry items in there, give
+        # them precedence.
+        if segment._baggage and segment._baggage.sentry_items:
+            sentry_items.update(segment._baggage.sentry_items)
+
+        return Baggage(sentry_items, mutable=False)
+
     def freeze(self) -> None:
         self.mutable = False
 
@@ -890,6 +939,14 @@ async def async_wrapper(*args: "Any", **kwargs: "Any") -> "Any":
                 )
                 return await f(*args, **kwargs)
 
+            if isinstance(current_span, StreamedSpan):
+                warnings.warn(
+                    "Use the @sentry_sdk.traces.trace decorator in span streaming mode.",
+                    DeprecationWarning,
+                    stacklevel=2,
+                )
+                return await f(*args, **kwargs)
+
             span_op = op or _get_span_op(template)
             function_name = name or qualname_from_function(f) or ""
             span_name = _get_span_name(template, function_name, kwargs)
@@ -927,6 +984,14 @@ def sync_wrapper(*args: "Any", **kwargs: "Any") -> "Any":
                 )
                 return f(*args, **kwargs)
 
+            if isinstance(current_span, StreamedSpan):
+                warnings.warn(
+                    "Use the @sentry_sdk.traces.trace decorator in span streaming mode.",
+                    DeprecationWarning,
+                    stacklevel=2,
+                )
+                return f(*args, **kwargs)
+
             span_op = op or _get_span_op(template)
             function_name = name or qualname_from_function(f) or ""
             span_name = _get_span_name(template, function_name, kwargs)
@@ -1027,7 +1092,9 @@ def sync_wrapper(*args: "Any", **kwargs: "Any") -> "Any":
     return span_decorator
 
 
-def get_current_span(scope: "Optional[sentry_sdk.Scope]" = None) -> "Optional[Span]":
+def get_current_span(
+    scope: "Optional[sentry_sdk.Scope]" = None,
+) -> "Optional[Union[Span, StreamedSpan]]":
     """
     Returns the currently active span if there is one running, otherwise `None`
     """
@@ -1036,16 +1103,24 @@ def get_current_span(scope: "Optional[sentry_sdk.Scope]" = None) -> "Optional[Sp
     return current_span
 
 
-def set_span_errored(span: "Optional[Span]" = None) -> None:
+def set_span_errored(span: "Optional[Union[Span, StreamedSpan]]" = None) -> None:
     """
     Set the status of the current or given span to INTERNAL_ERROR.
     Also sets the status of the transaction (root span) to INTERNAL_ERROR.
     """
+    from sentry_sdk.traces import StreamedSpan, SpanStatus
+
     span = span or get_current_span()
+
     if span is not None:
-        span.set_status(SPANSTATUS.INTERNAL_ERROR)
-        if span.containing_transaction is not None:
-            span.containing_transaction.set_status(SPANSTATUS.INTERNAL_ERROR)
+        if isinstance(span, Span):
+            span.set_status(SPANSTATUS.INTERNAL_ERROR)
+            if span.containing_transaction is not None:
+                span.containing_transaction.set_status(SPANSTATUS.INTERNAL_ERROR)
+        elif isinstance(span, StreamedSpan):
+            span.status = SpanStatus.ERROR
+            if span._segment is not None:
+                span._segment.status = SpanStatus.ERROR
 
 
 def _generate_sample_rand(
@@ -1534,8 +1609,11 @@ def _matches(rule: "Any", value: "Any") -> bool:
     BAGGAGE_HEADER_NAME,
     LOW_QUALITY_TRANSACTION_SOURCES,
     SENTRY_TRACE_HEADER_NAME,
+    Span,
 )
 from sentry_sdk.traces import (
+    LOW_QUALITY_SEGMENT_SOURCES,
+    StreamedSpan,
     start_span as start_streaming_span,
 )
 
diff --git a/sentry_sdk/utils.py b/sentry_sdk/utils.py
index a333467ae9..4dfd36d17c 100644
--- a/sentry_sdk/utils.py
+++ b/sentry_sdk/utils.py
@@ -46,7 +46,6 @@
         Dict,
         Iterator,
         List,
-        Literal,
         NoReturn,
         Optional,
         ParamSpec,
diff --git a/setup.py b/setup.py
index eb8ee4bd4a..86070b34ba 100644
--- a/setup.py
+++ b/setup.py
@@ -21,7 +21,7 @@ def get_file_text(file_name):
 
 setup(
     name="sentry-sdk",
-    version="2.54.0",
+    version="2.55.0",
     author="Sentry Team and Contributors",
     author_email="hello@sentry.io",
     url="https://github.com/getsentry/sentry-python",
diff --git a/tests/conftest.py b/tests/conftest.py
index 0853013dfd..7f76fc2aee 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -57,13 +57,6 @@
     from collections.abc import Iterator
 
 try:
-    from anyio import create_memory_object_stream, create_task_group, EndOfStream
-    from mcp.types import (
-        JSONRPCMessage,
-        JSONRPCNotification,
-        JSONRPCRequest,
-    )
-    from mcp.shared.message import SessionMessage
     from httpx import (
         ASGITransport,
         Request as HttpxRequest,
@@ -71,6 +64,22 @@
         AsyncByteStream,
         AsyncClient,
     )
+except ImportError:
+    ASGITransport = None
+    HttpxRequest = None
+    HttpxResponse = None
+    AsyncByteStream = None
+    AsyncClient = None
+
+
+try:
+    from anyio import create_memory_object_stream, create_task_group, EndOfStream
+    from mcp.types import (
+        JSONRPCMessage,
+        JSONRPCNotification,
+        JSONRPCRequest,
+    )
+    from mcp.shared.message import SessionMessage
 except ImportError:
     create_memory_object_stream = None
     create_task_group = None
@@ -81,12 +90,6 @@
     JSONRPCRequest = None
     SessionMessage = None
 
-    ASGITransport = None
-    HttpxRequest = None
-    HttpxResponse = None
-    AsyncByteStream = None
-    AsyncClient = None
-
 
 SENTRY_EVENT_SCHEMA = "./checkouts/data-schemas/relay/event.schema.json"
 
@@ -1013,6 +1016,39 @@ async def inner(values):
     return inner
 
 
+@pytest.fixture
+def server_side_event_chunks():
+    def inner(events):
+        for event in events:
+            payload = event.model_dump()
+            chunk = f"event: {payload['type']}\ndata: {json.dumps(payload)}\n\n"
+            yield chunk.encode("utf-8")
+
+    return inner
+
+
+@pytest.fixture
+def get_model_response():
+    def inner(response_content, serialize_pydantic=False):
+        model_request = HttpxRequest(
+            "POST",
+            "/responses",
+        )
+
+        if serialize_pydantic:
+            response_content = json.dumps(response_content.model_dump()).encode("utf-8")
+
+        response = HttpxResponse(
+            200,
+            request=model_request,
+            content=response_content,
+        )
+
+        return response
+
+    return inner
+
+
 class MockServerRequestHandler(BaseHTTPRequestHandler):
     def do_GET(self):  # noqa: N802
         # Process an HTTP GET request and return a response.
diff --git a/tests/integrations/anthropic/test_anthropic.py b/tests/integrations/anthropic/test_anthropic.py
index ea48f5d4db..8b83d2d128 100644
--- a/tests/integrations/anthropic/test_anthropic.py
+++ b/tests/integrations/anthropic/test_anthropic.py
@@ -11,7 +11,7 @@ async def __call__(self, *args, **kwargs):
             return super(AsyncMock, self).__call__(*args, **kwargs)
 
 
-from anthropic import Anthropic, AnthropicError, AsyncAnthropic, AsyncStream, Stream
+from anthropic import Anthropic, AnthropicError, AsyncAnthropic
 from anthropic.types import MessageDeltaUsage, TextDelta, Usage
 from anthropic.types.content_block_delta_event import ContentBlockDeltaEvent
 from anthropic.types.content_block_start_event import ContentBlockStartEvent
@@ -58,11 +58,12 @@ async def __call__(self, *args, **kwargs):
 ANTHROPIC_VERSION = package_version("anthropic")
 
 EXAMPLE_MESSAGE = Message(
-    id="id",
+    id="msg_01XFDUDYJgAACzvnptvVoYEL",
     model="model",
     role="assistant",
     content=[TextBlock(type="text", text="Hi, I'm Claude.")],
     type="message",
+    stop_reason="end_turn",
     usage=Usage(input_tokens=10, output_tokens=20),
 )
 
@@ -117,6 +118,7 @@ def test_nonstreaming_create_message(
 
     assert span["op"] == OP.GEN_AI_CHAT
     assert span["description"] == "chat model"
+    assert span["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
     assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
     assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model"
 
@@ -134,6 +136,8 @@ def test_nonstreaming_create_message(
     assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 20
     assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 30
     assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is False
+    assert span["data"][SPANDATA.GEN_AI_RESPONSE_ID] == "msg_01XFDUDYJgAACzvnptvVoYEL"
+    assert span["data"][SPANDATA.GEN_AI_RESPONSE_FINISH_REASONS] == ["end_turn"]
 
 
 @pytest.mark.asyncio
@@ -187,6 +191,7 @@ async def test_nonstreaming_create_message_async(
 
     assert span["op"] == OP.GEN_AI_CHAT
     assert span["description"] == "chat model"
+    assert span["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
     assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
     assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model"
 
@@ -204,6 +209,7 @@ async def test_nonstreaming_create_message_async(
     assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 20
     assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 30
     assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is False
+    assert span["data"][SPANDATA.GEN_AI_RESPONSE_ID] == "msg_01XFDUDYJgAACzvnptvVoYEL"
 
 
 @pytest.mark.parametrize(
@@ -216,42 +222,51 @@ async def test_nonstreaming_create_message_async(
     ],
 )
 def test_streaming_create_message(
-    sentry_init, capture_events, send_default_pii, include_prompts
+    sentry_init,
+    capture_events,
+    send_default_pii,
+    include_prompts,
+    get_model_response,
+    server_side_event_chunks,
 ):
     client = Anthropic(api_key="z")
-    returned_stream = Stream(cast_to=None, response=None, client=client)
-    returned_stream._iterator = [
-        MessageStartEvent(
-            message=EXAMPLE_MESSAGE,
-            type="message_start",
-        ),
-        ContentBlockStartEvent(
-            type="content_block_start",
-            index=0,
-            content_block=TextBlock(type="text", text=""),
-        ),
-        ContentBlockDeltaEvent(
-            delta=TextDelta(text="Hi", type="text_delta"),
-            index=0,
-            type="content_block_delta",
-        ),
-        ContentBlockDeltaEvent(
-            delta=TextDelta(text="!", type="text_delta"),
-            index=0,
-            type="content_block_delta",
-        ),
-        ContentBlockDeltaEvent(
-            delta=TextDelta(text=" I'm Claude!", type="text_delta"),
-            index=0,
-            type="content_block_delta",
-        ),
-        ContentBlockStopEvent(type="content_block_stop", index=0),
-        MessageDeltaEvent(
-            delta=Delta(),
-            usage=MessageDeltaUsage(output_tokens=10),
-            type="message_delta",
-        ),
-    ]
+
+    response = get_model_response(
+        server_side_event_chunks(
+            [
+                MessageStartEvent(
+                    message=EXAMPLE_MESSAGE,
+                    type="message_start",
+                ),
+                ContentBlockStartEvent(
+                    type="content_block_start",
+                    index=0,
+                    content_block=TextBlock(type="text", text=""),
+                ),
+                ContentBlockDeltaEvent(
+                    delta=TextDelta(text="Hi", type="text_delta"),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockDeltaEvent(
+                    delta=TextDelta(text="!", type="text_delta"),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockDeltaEvent(
+                    delta=TextDelta(text=" I'm Claude!", type="text_delta"),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockStopEvent(type="content_block_stop", index=0),
+                MessageDeltaEvent(
+                    delta=Delta(stop_reason="max_tokens"),
+                    usage=MessageDeltaUsage(output_tokens=10),
+                    type="message_delta",
+                ),
+            ]
+        )
+    )
 
     sentry_init(
         integrations=[AnthropicIntegration(include_prompts=include_prompts)],
@@ -259,7 +274,6 @@ def test_streaming_create_message(
         send_default_pii=send_default_pii,
     )
     events = capture_events()
-    client.messages._post = mock.Mock(return_value=returned_stream)
 
     messages = [
         {
@@ -268,26 +282,147 @@ def test_streaming_create_message(
         }
     ]
 
-    with start_transaction(name="anthropic"):
-        message = client.messages.create(
-            max_tokens=1024, messages=messages, model="model", stream=True
+    with mock.patch.object(
+        client._client,
+        "send",
+        return_value=response,
+    ) as _:
+        with start_transaction(name="anthropic"):
+            message = client.messages.create(
+                max_tokens=1024, messages=messages, model="model", stream=True
+            )
+
+            for _ in message:
+                pass
+
+    assert len(events) == 1
+    (event,) = events
+
+    assert event["type"] == "transaction"
+    assert event["transaction"] == "anthropic"
+
+    span = next(span for span in event["spans"] if span["op"] == OP.GEN_AI_CHAT)
+
+    assert span["op"] == OP.GEN_AI_CHAT
+    assert span["description"] == "chat model"
+    assert span["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
+    assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
+    assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model"
+
+    if send_default_pii and include_prompts:
+        assert (
+            span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES]
+            == '[{"role": "user", "content": "Hello, Claude"}]'
+        )
+        assert span["data"][SPANDATA.GEN_AI_RESPONSE_TEXT] == "Hi! I'm Claude!"
+
+    else:
+        assert SPANDATA.GEN_AI_REQUEST_MESSAGES not in span["data"]
+        assert SPANDATA.GEN_AI_RESPONSE_TEXT not in span["data"]
+
+    assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 10
+    assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 10
+    assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 20
+    assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True
+    assert span["data"][SPANDATA.GEN_AI_RESPONSE_ID] == "msg_01XFDUDYJgAACzvnptvVoYEL"
+    assert span["data"][SPANDATA.GEN_AI_RESPONSE_FINISH_REASONS] == ["max_tokens"]
+
+
+@pytest.mark.parametrize(
+    "send_default_pii, include_prompts",
+    [
+        (True, True),
+        (True, False),
+        (False, True),
+        (False, False),
+    ],
+)
+def test_stream_messages(
+    sentry_init,
+    capture_events,
+    send_default_pii,
+    include_prompts,
+    get_model_response,
+    server_side_event_chunks,
+):
+    client = Anthropic(api_key="z")
+
+    response = get_model_response(
+        server_side_event_chunks(
+            [
+                MessageStartEvent(
+                    message=EXAMPLE_MESSAGE,
+                    type="message_start",
+                ),
+                ContentBlockStartEvent(
+                    type="content_block_start",
+                    index=0,
+                    content_block=TextBlock(type="text", text=""),
+                ),
+                ContentBlockDeltaEvent(
+                    delta=TextDelta(text="Hi", type="text_delta"),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockDeltaEvent(
+                    delta=TextDelta(text="!", type="text_delta"),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockDeltaEvent(
+                    delta=TextDelta(text=" I'm Claude!", type="text_delta"),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockStopEvent(type="content_block_stop", index=0),
+                MessageDeltaEvent(
+                    delta=Delta(stop_reason="max_tokens"),
+                    usage=MessageDeltaUsage(output_tokens=10),
+                    type="message_delta",
+                ),
+            ]
         )
+    )
 
-        for _ in message:
-            pass
+    sentry_init(
+        integrations=[AnthropicIntegration(include_prompts=include_prompts)],
+        traces_sample_rate=1.0,
+        send_default_pii=send_default_pii,
+    )
+    events = capture_events()
+
+    messages = [
+        {
+            "role": "user",
+            "content": "Hello, Claude",
+        }
+    ]
+
+    with mock.patch.object(
+        client._client,
+        "send",
+        return_value=response,
+    ) as _:
+        with start_transaction(name="anthropic"):
+            with client.messages.stream(
+                max_tokens=1024,
+                messages=messages,
+                model="model",
+            ) as stream:
+                for event in stream:
+                    pass
 
-    assert message == returned_stream
     assert len(events) == 1
     (event,) = events
 
     assert event["type"] == "transaction"
     assert event["transaction"] == "anthropic"
 
-    assert len(event["spans"]) == 1
-    (span,) = event["spans"]
+    span = next(span for span in event["spans"] if span["op"] == OP.GEN_AI_CHAT)
 
     assert span["op"] == OP.GEN_AI_CHAT
     assert span["description"] == "chat model"
+    assert span["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
     assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
     assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model"
 
@@ -306,6 +441,8 @@ def test_streaming_create_message(
     assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 10
     assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 20
     assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True
+    assert span["data"][SPANDATA.GEN_AI_RESPONSE_ID] == "msg_01XFDUDYJgAACzvnptvVoYEL"
+    assert span["data"][SPANDATA.GEN_AI_RESPONSE_FINISH_REASONS] == ["max_tokens"]
 
 
 @pytest.mark.asyncio
@@ -319,52 +456,62 @@ def test_streaming_create_message(
     ],
 )
 async def test_streaming_create_message_async(
-    sentry_init, capture_events, send_default_pii, include_prompts, async_iterator
+    sentry_init,
+    capture_events,
+    send_default_pii,
+    include_prompts,
+    get_model_response,
+    async_iterator,
+    server_side_event_chunks,
 ):
     client = AsyncAnthropic(api_key="z")
-    returned_stream = AsyncStream(cast_to=None, response=None, client=client)
-    returned_stream._iterator = async_iterator(
-        [
-            MessageStartEvent(
-                message=EXAMPLE_MESSAGE,
-                type="message_start",
-            ),
-            ContentBlockStartEvent(
-                type="content_block_start",
-                index=0,
-                content_block=TextBlock(type="text", text=""),
-            ),
-            ContentBlockDeltaEvent(
-                delta=TextDelta(text="Hi", type="text_delta"),
-                index=0,
-                type="content_block_delta",
-            ),
-            ContentBlockDeltaEvent(
-                delta=TextDelta(text="!", type="text_delta"),
-                index=0,
-                type="content_block_delta",
-            ),
-            ContentBlockDeltaEvent(
-                delta=TextDelta(text=" I'm Claude!", type="text_delta"),
-                index=0,
-                type="content_block_delta",
-            ),
-            ContentBlockStopEvent(type="content_block_stop", index=0),
-            MessageDeltaEvent(
-                delta=Delta(),
-                usage=MessageDeltaUsage(output_tokens=10),
-                type="message_delta",
-            ),
-        ]
+
+    response = get_model_response(
+        async_iterator(
+            server_side_event_chunks(
+                [
+                    MessageStartEvent(
+                        message=EXAMPLE_MESSAGE,
+                        type="message_start",
+                    ),
+                    ContentBlockStartEvent(
+                        type="content_block_start",
+                        index=0,
+                        content_block=TextBlock(type="text", text=""),
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=TextDelta(text="Hi", type="text_delta"),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=TextDelta(text="!", type="text_delta"),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=TextDelta(text=" I'm Claude!", type="text_delta"),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockStopEvent(type="content_block_stop", index=0),
+                    MessageDeltaEvent(
+                        delta=Delta(stop_reason="max_tokens"),
+                        usage=MessageDeltaUsage(output_tokens=10),
+                        type="message_delta",
+                    ),
+                ]
+            )
+        ),
     )
 
     sentry_init(
         integrations=[AnthropicIntegration(include_prompts=include_prompts)],
         traces_sample_rate=1.0,
+        default_integrations=False,
         send_default_pii=send_default_pii,
     )
     events = capture_events()
-    client.messages._post = AsyncMock(return_value=returned_stream)
 
     messages = [
         {
@@ -373,15 +520,141 @@ async def test_streaming_create_message_async(
         }
     ]
 
-    with start_transaction(name="anthropic"):
-        message = await client.messages.create(
-            max_tokens=1024, messages=messages, model="model", stream=True
+    with mock.patch.object(
+        client._client,
+        "send",
+        return_value=response,
+    ) as _:
+        with start_transaction(name="anthropic"):
+            message = await client.messages.create(
+                max_tokens=1024, messages=messages, model="model", stream=True
+            )
+
+            async for _ in message:
+                pass
+
+    assert len(events) == 1
+    (event,) = events
+
+    assert event["type"] == "transaction"
+    assert event["transaction"] == "anthropic"
+
+    assert len(event["spans"]) == 1
+    (span,) = event["spans"]
+
+    assert span["op"] == OP.GEN_AI_CHAT
+    assert span["description"] == "chat model"
+    assert span["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
+    assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
+    assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model"
+
+    if send_default_pii and include_prompts:
+        assert (
+            span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES]
+            == '[{"role": "user", "content": "Hello, Claude"}]'
         )
+        assert span["data"][SPANDATA.GEN_AI_RESPONSE_TEXT] == "Hi! I'm Claude!"
+
+    else:
+        assert SPANDATA.GEN_AI_REQUEST_MESSAGES not in span["data"]
+        assert SPANDATA.GEN_AI_RESPONSE_TEXT not in span["data"]
+
+    assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 10
+    assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 10
+    assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 20
+    assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True
+    assert span["data"][SPANDATA.GEN_AI_RESPONSE_ID] == "msg_01XFDUDYJgAACzvnptvVoYEL"
+    assert span["data"][SPANDATA.GEN_AI_RESPONSE_FINISH_REASONS] == ["max_tokens"]
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "send_default_pii, include_prompts",
+    [
+        (True, True),
+        (True, False),
+        (False, True),
+        (False, False),
+    ],
+)
+async def test_stream_message_async(
+    sentry_init,
+    capture_events,
+    send_default_pii,
+    include_prompts,
+    get_model_response,
+    async_iterator,
+    server_side_event_chunks,
+):
+    client = AsyncAnthropic(api_key="z")
+
+    response = get_model_response(
+        async_iterator(
+            server_side_event_chunks(
+                [
+                    MessageStartEvent(
+                        message=EXAMPLE_MESSAGE,
+                        type="message_start",
+                    ),
+                    ContentBlockStartEvent(
+                        type="content_block_start",
+                        index=0,
+                        content_block=TextBlock(type="text", text=""),
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=TextDelta(text="Hi", type="text_delta"),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=TextDelta(text="!", type="text_delta"),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=TextDelta(text=" I'm Claude!", type="text_delta"),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockStopEvent(type="content_block_stop", index=0),
+                    MessageDeltaEvent(
+                        delta=Delta(),
+                        usage=MessageDeltaUsage(output_tokens=10),
+                        type="message_delta",
+                    ),
+                ]
+            )
+        ),
+    )
+
+    sentry_init(
+        integrations=[AnthropicIntegration(include_prompts=include_prompts)],
+        traces_sample_rate=1.0,
+        send_default_pii=send_default_pii,
+    )
+    events = capture_events()
+
+    messages = [
+        {
+            "role": "user",
+            "content": "Hello, Claude",
+        }
+    ]
 
-        async for _ in message:
-            pass
+    with mock.patch.object(
+        client._client,
+        "send",
+        return_value=response,
+    ) as _:
+        with start_transaction(name="anthropic"):
+            async with client.messages.stream(
+                max_tokens=1024,
+                messages=messages,
+                model="model",
+            ) as stream:
+                async for event in stream:
+                    pass
 
-    assert message == returned_stream
     assert len(events) == 1
     (event,) = events
 
@@ -393,6 +666,7 @@ async def test_streaming_create_message_async(
 
     assert span["op"] == OP.GEN_AI_CHAT
     assert span["description"] == "chat model"
+    assert span["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
     assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
     assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model"
 
@@ -411,6 +685,7 @@ async def test_streaming_create_message_async(
     assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 10
     assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 20
     assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True
+    assert span["data"][SPANDATA.GEN_AI_RESPONSE_ID] == "msg_01XFDUDYJgAACzvnptvVoYEL"
 
 
 @pytest.mark.skipif(
@@ -427,68 +702,81 @@ async def test_streaming_create_message_async(
     ],
 )
 def test_streaming_create_message_with_input_json_delta(
-    sentry_init, capture_events, send_default_pii, include_prompts
+    sentry_init,
+    capture_events,
+    send_default_pii,
+    include_prompts,
+    get_model_response,
+    server_side_event_chunks,
 ):
     client = Anthropic(api_key="z")
-    returned_stream = Stream(cast_to=None, response=None, client=client)
-    returned_stream._iterator = [
-        MessageStartEvent(
-            message=Message(
-                id="msg_0",
-                content=[],
-                model="claude-3-5-sonnet-20240620",
-                role="assistant",
-                stop_reason=None,
-                stop_sequence=None,
-                type="message",
-                usage=Usage(input_tokens=366, output_tokens=10),
-            ),
-            type="message_start",
-        ),
-        ContentBlockStartEvent(
-            type="content_block_start",
-            index=0,
-            content_block=ToolUseBlock(
-                id="toolu_0", input={}, name="get_weather", type="tool_use"
-            ),
-        ),
-        ContentBlockDeltaEvent(
-            delta=InputJSONDelta(partial_json="", type="input_json_delta"),
-            index=0,
-            type="content_block_delta",
-        ),
-        ContentBlockDeltaEvent(
-            delta=InputJSONDelta(partial_json="{'location':", type="input_json_delta"),
-            index=0,
-            type="content_block_delta",
-        ),
-        ContentBlockDeltaEvent(
-            delta=InputJSONDelta(partial_json=" 'S", type="input_json_delta"),
-            index=0,
-            type="content_block_delta",
-        ),
-        ContentBlockDeltaEvent(
-            delta=InputJSONDelta(partial_json="an ", type="input_json_delta"),
-            index=0,
-            type="content_block_delta",
-        ),
-        ContentBlockDeltaEvent(
-            delta=InputJSONDelta(partial_json="Francisco, C", type="input_json_delta"),
-            index=0,
-            type="content_block_delta",
-        ),
-        ContentBlockDeltaEvent(
-            delta=InputJSONDelta(partial_json="A'}", type="input_json_delta"),
-            index=0,
-            type="content_block_delta",
-        ),
-        ContentBlockStopEvent(type="content_block_stop", index=0),
-        MessageDeltaEvent(
-            delta=Delta(stop_reason="tool_use", stop_sequence=None),
-            usage=MessageDeltaUsage(output_tokens=41),
-            type="message_delta",
-        ),
-    ]
+
+    response = get_model_response(
+        server_side_event_chunks(
+            [
+                MessageStartEvent(
+                    message=Message(
+                        id="msg_0",
+                        content=[],
+                        model="claude-3-5-sonnet-20240620",
+                        role="assistant",
+                        stop_reason=None,
+                        stop_sequence=None,
+                        type="message",
+                        usage=Usage(input_tokens=366, output_tokens=10),
+                    ),
+                    type="message_start",
+                ),
+                ContentBlockStartEvent(
+                    type="content_block_start",
+                    index=0,
+                    content_block=ToolUseBlock(
+                        id="toolu_0", input={}, name="get_weather", type="tool_use"
+                    ),
+                ),
+                ContentBlockDeltaEvent(
+                    delta=InputJSONDelta(partial_json="", type="input_json_delta"),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockDeltaEvent(
+                    delta=InputJSONDelta(
+                        partial_json='{"location": "', type="input_json_delta"
+                    ),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockDeltaEvent(
+                    delta=InputJSONDelta(partial_json="S", type="input_json_delta"),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockDeltaEvent(
+                    delta=InputJSONDelta(partial_json="an ", type="input_json_delta"),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockDeltaEvent(
+                    delta=InputJSONDelta(
+                        partial_json="Francisco, C", type="input_json_delta"
+                    ),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockDeltaEvent(
+                    delta=InputJSONDelta(partial_json='A"}', type="input_json_delta"),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockStopEvent(type="content_block_stop", index=0),
+                MessageDeltaEvent(
+                    delta=Delta(stop_reason="tool_use", stop_sequence=None),
+                    usage=MessageDeltaUsage(output_tokens=41),
+                    type="message_delta",
+                ),
+            ]
+        )
+    )
 
     sentry_init(
         integrations=[AnthropicIntegration(include_prompts=include_prompts)],
@@ -496,7 +784,6 @@ def test_streaming_create_message_with_input_json_delta(
         send_default_pii=send_default_pii,
     )
     events = capture_events()
-    client.messages._post = mock.Mock(return_value=returned_stream)
 
     messages = [
         {
@@ -505,15 +792,19 @@ def test_streaming_create_message_with_input_json_delta(
         }
     ]
 
-    with start_transaction(name="anthropic"):
-        message = client.messages.create(
-            max_tokens=1024, messages=messages, model="model", stream=True
-        )
+    with mock.patch.object(
+        client._client,
+        "send",
+        return_value=response,
+    ) as _:
+        with start_transaction(name="anthropic"):
+            message = client.messages.create(
+                max_tokens=1024, messages=messages, model="model", stream=True
+            )
 
-        for _ in message:
-            pass
+            for _ in message:
+                pass
 
-    assert message == returned_stream
     assert len(events) == 1
     (event,) = events
 
@@ -525,6 +816,7 @@ def test_streaming_create_message_with_input_json_delta(
 
     assert span["op"] == OP.GEN_AI_CHAT
     assert span["description"] == "chat model"
+    assert span["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
     assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
     assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model"
 
@@ -535,7 +827,7 @@ def test_streaming_create_message_with_input_json_delta(
         )
         assert (
             span["data"][SPANDATA.GEN_AI_RESPONSE_TEXT]
-            == "{'location': 'San Francisco, CA'}"
+            == '{"location": "San Francisco, CA"}'
         )
     else:
         assert SPANDATA.GEN_AI_REQUEST_MESSAGES not in span["data"]
@@ -547,7 +839,6 @@ def test_streaming_create_message_with_input_json_delta(
     assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True
 
 
-@pytest.mark.asyncio
 @pytest.mark.skipif(
     ANTHROPIC_VERSION < (0, 27),
     reason="Versions <0.27.0 do not include InputJSONDelta, which was introduced in >=0.27.0 along with a new message delta type for tool calling.",
@@ -561,74 +852,81 @@ def test_streaming_create_message_with_input_json_delta(
         (False, False),
     ],
 )
-async def test_streaming_create_message_with_input_json_delta_async(
-    sentry_init, capture_events, send_default_pii, include_prompts, async_iterator
+def test_stream_messages_with_input_json_delta(
+    sentry_init,
+    capture_events,
+    send_default_pii,
+    include_prompts,
+    get_model_response,
+    server_side_event_chunks,
 ):
-    client = AsyncAnthropic(api_key="z")
-    returned_stream = AsyncStream(cast_to=None, response=None, client=client)
-    returned_stream._iterator = async_iterator(
-        [
-            MessageStartEvent(
-                message=Message(
-                    id="msg_0",
-                    content=[],
-                    model="claude-3-5-sonnet-20240620",
-                    role="assistant",
-                    stop_reason=None,
-                    stop_sequence=None,
-                    type="message",
-                    usage=Usage(input_tokens=366, output_tokens=10),
+    client = Anthropic(api_key="z")
+
+    response = get_model_response(
+        server_side_event_chunks(
+            [
+                MessageStartEvent(
+                    message=Message(
+                        id="msg_0",
+                        content=[],
+                        model="claude-3-5-sonnet-20240620",
+                        role="assistant",
+                        stop_reason=None,
+                        stop_sequence=None,
+                        type="message",
+                        usage=Usage(input_tokens=366, output_tokens=10),
+                    ),
+                    type="message_start",
                 ),
-                type="message_start",
-            ),
-            ContentBlockStartEvent(
-                type="content_block_start",
-                index=0,
-                content_block=ToolUseBlock(
-                    id="toolu_0", input={}, name="get_weather", type="tool_use"
+                ContentBlockStartEvent(
+                    type="content_block_start",
+                    index=0,
+                    content_block=ToolUseBlock(
+                        id="toolu_0", input={}, name="get_weather", type="tool_use"
+                    ),
                 ),
-            ),
-            ContentBlockDeltaEvent(
-                delta=InputJSONDelta(partial_json="", type="input_json_delta"),
-                index=0,
-                type="content_block_delta",
-            ),
-            ContentBlockDeltaEvent(
-                delta=InputJSONDelta(
-                    partial_json="{'location':", type="input_json_delta"
+                ContentBlockDeltaEvent(
+                    delta=InputJSONDelta(partial_json="", type="input_json_delta"),
+                    index=0,
+                    type="content_block_delta",
                 ),
-                index=0,
-                type="content_block_delta",
-            ),
-            ContentBlockDeltaEvent(
-                delta=InputJSONDelta(partial_json=" 'S", type="input_json_delta"),
-                index=0,
-                type="content_block_delta",
-            ),
-            ContentBlockDeltaEvent(
-                delta=InputJSONDelta(partial_json="an ", type="input_json_delta"),
-                index=0,
-                type="content_block_delta",
-            ),
-            ContentBlockDeltaEvent(
-                delta=InputJSONDelta(
-                    partial_json="Francisco, C", type="input_json_delta"
+                ContentBlockDeltaEvent(
+                    delta=InputJSONDelta(
+                        partial_json='{"location": "', type="input_json_delta"
+                    ),
+                    index=0,
+                    type="content_block_delta",
                 ),
-                index=0,
-                type="content_block_delta",
-            ),
-            ContentBlockDeltaEvent(
-                delta=InputJSONDelta(partial_json="A'}", type="input_json_delta"),
-                index=0,
-                type="content_block_delta",
-            ),
-            ContentBlockStopEvent(type="content_block_stop", index=0),
-            MessageDeltaEvent(
-                delta=Delta(stop_reason="tool_use", stop_sequence=None),
-                usage=MessageDeltaUsage(output_tokens=41),
-                type="message_delta",
-            ),
-        ]
+                ContentBlockDeltaEvent(
+                    delta=InputJSONDelta(partial_json="S", type="input_json_delta"),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockDeltaEvent(
+                    delta=InputJSONDelta(partial_json="an ", type="input_json_delta"),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockDeltaEvent(
+                    delta=InputJSONDelta(
+                        partial_json="Francisco, C", type="input_json_delta"
+                    ),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockDeltaEvent(
+                    delta=InputJSONDelta(partial_json='A"}', type="input_json_delta"),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockStopEvent(type="content_block_stop", index=0),
+                MessageDeltaEvent(
+                    delta=Delta(stop_reason="tool_use", stop_sequence=None),
+                    usage=MessageDeltaUsage(output_tokens=41),
+                    type="message_delta",
+                ),
+            ]
+        )
     )
 
     sentry_init(
@@ -637,7 +935,6 @@ async def test_streaming_create_message_with_input_json_delta_async(
         send_default_pii=send_default_pii,
     )
     events = capture_events()
-    client.messages._post = AsyncMock(return_value=returned_stream)
 
     messages = [
         {
@@ -646,15 +943,338 @@ async def test_streaming_create_message_with_input_json_delta_async(
         }
     ]
 
-    with start_transaction(name="anthropic"):
-        message = await client.messages.create(
-            max_tokens=1024, messages=messages, model="model", stream=True
+    with mock.patch.object(
+        client._client,
+        "send",
+        return_value=response,
+    ) as _:
+        with start_transaction(name="anthropic"):
+            with client.messages.stream(
+                max_tokens=1024,
+                messages=messages,
+                model="model",
+            ) as stream:
+                for event in stream:
+                    pass
+
+    assert len(events) == 1
+    (event,) = events
+
+    assert event["type"] == "transaction"
+    assert event["transaction"] == "anthropic"
+
+    assert len(event["spans"]) == 1
+    (span,) = event["spans"]
+
+    assert span["op"] == OP.GEN_AI_CHAT
+    assert span["description"] == "chat model"
+    assert span["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
+    assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
+    assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model"
+
+    if send_default_pii and include_prompts:
+        assert (
+            span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES]
+            == '[{"role": "user", "content": "What is the weather like in San Francisco?"}]'
+        )
+        assert (
+            span["data"][SPANDATA.GEN_AI_RESPONSE_TEXT]
+            == '{"location": "San Francisco, CA"}'
+        )
+    else:
+        assert SPANDATA.GEN_AI_REQUEST_MESSAGES not in span["data"]
+        assert SPANDATA.GEN_AI_RESPONSE_TEXT not in span["data"]
+
+    assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 366
+    assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 41
+    assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 407
+    assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True
+
+
+@pytest.mark.asyncio
+@pytest.mark.skipif(
+    ANTHROPIC_VERSION < (0, 27),
+    reason="Versions <0.27.0 do not include InputJSONDelta, which was introduced in >=0.27.0 along with a new message delta type for tool calling.",
+)
+@pytest.mark.parametrize(
+    "send_default_pii, include_prompts",
+    [
+        (True, True),
+        (True, False),
+        (False, True),
+        (False, False),
+    ],
+)
+async def test_streaming_create_message_with_input_json_delta_async(
+    sentry_init,
+    capture_events,
+    send_default_pii,
+    include_prompts,
+    get_model_response,
+    async_iterator,
+    server_side_event_chunks,
+):
+    client = AsyncAnthropic(api_key="z")
+    response = get_model_response(
+        async_iterator(
+            server_side_event_chunks(
+                [
+                    MessageStartEvent(
+                        message=Message(
+                            id="msg_0",
+                            content=[],
+                            model="claude-3-5-sonnet-20240620",
+                            role="assistant",
+                            stop_reason=None,
+                            stop_sequence=None,
+                            type="message",
+                            usage=Usage(input_tokens=366, output_tokens=10),
+                        ),
+                        type="message_start",
+                    ),
+                    ContentBlockStartEvent(
+                        type="content_block_start",
+                        index=0,
+                        content_block=ToolUseBlock(
+                            id="toolu_0", input={}, name="get_weather", type="tool_use"
+                        ),
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=InputJSONDelta(partial_json="", type="input_json_delta"),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=InputJSONDelta(
+                            partial_json='{"location": "', type="input_json_delta"
+                        ),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=InputJSONDelta(partial_json="S", type="input_json_delta"),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=InputJSONDelta(
+                            partial_json="an ", type="input_json_delta"
+                        ),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=InputJSONDelta(
+                            partial_json="Francisco, C", type="input_json_delta"
+                        ),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=InputJSONDelta(
+                            partial_json='A"}', type="input_json_delta"
+                        ),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockStopEvent(type="content_block_stop", index=0),
+                    MessageDeltaEvent(
+                        delta=Delta(stop_reason="tool_use", stop_sequence=None),
+                        usage=MessageDeltaUsage(output_tokens=41),
+                        type="message_delta",
+                    ),
+                ]
+            )
+        )
+    )
+
+    sentry_init(
+        integrations=[AnthropicIntegration(include_prompts=include_prompts)],
+        traces_sample_rate=1.0,
+        send_default_pii=send_default_pii,
+    )
+    events = capture_events()
+
+    messages = [
+        {
+            "role": "user",
+            "content": "What is the weather like in San Francisco?",
+        }
+    ]
+
+    with mock.patch.object(
+        client._client,
+        "send",
+        return_value=response,
+    ) as _:
+        with start_transaction(name="anthropic"):
+            message = await client.messages.create(
+                max_tokens=1024, messages=messages, model="model", stream=True
+            )
+
+            async for _ in message:
+                pass
+
+    assert len(events) == 1
+    (event,) = events
+
+    assert event["type"] == "transaction"
+    assert event["transaction"] == "anthropic"
+
+    assert len(event["spans"]) == 1
+    (span,) = event["spans"]
+
+    assert span["op"] == OP.GEN_AI_CHAT
+    assert span["description"] == "chat model"
+    assert span["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
+    assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
+    assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model"
+
+    if send_default_pii and include_prompts:
+        assert (
+            span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES]
+            == '[{"role": "user", "content": "What is the weather like in San Francisco?"}]'
+        )
+        assert (
+            span["data"][SPANDATA.GEN_AI_RESPONSE_TEXT]
+            == '{"location": "San Francisco, CA"}'
+        )
+
+    else:
+        assert SPANDATA.GEN_AI_REQUEST_MESSAGES not in span["data"]
+        assert SPANDATA.GEN_AI_RESPONSE_TEXT not in span["data"]
+
+    assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 366
+    assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 41
+    assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 407
+    assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True
+
+
+@pytest.mark.asyncio
+@pytest.mark.skipif(
+    ANTHROPIC_VERSION < (0, 27),
+    reason="Versions <0.27.0 do not include InputJSONDelta, which was introduced in >=0.27.0 along with a new message delta type for tool calling.",
+)
+@pytest.mark.parametrize(
+    "send_default_pii, include_prompts",
+    [
+        (True, True),
+        (True, False),
+        (False, True),
+        (False, False),
+    ],
+)
+async def test_stream_message_with_input_json_delta_async(
+    sentry_init,
+    capture_events,
+    send_default_pii,
+    include_prompts,
+    get_model_response,
+    async_iterator,
+    server_side_event_chunks,
+):
+    client = AsyncAnthropic(api_key="z")
+    response = get_model_response(
+        async_iterator(
+            server_side_event_chunks(
+                [
+                    MessageStartEvent(
+                        message=Message(
+                            id="msg_0",
+                            content=[],
+                            model="claude-3-5-sonnet-20240620",
+                            role="assistant",
+                            stop_reason=None,
+                            stop_sequence=None,
+                            type="message",
+                            usage=Usage(input_tokens=366, output_tokens=10),
+                        ),
+                        type="message_start",
+                    ),
+                    ContentBlockStartEvent(
+                        type="content_block_start",
+                        index=0,
+                        content_block=ToolUseBlock(
+                            id="toolu_0", input={}, name="get_weather", type="tool_use"
+                        ),
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=InputJSONDelta(partial_json="", type="input_json_delta"),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=InputJSONDelta(
+                            partial_json='{"location": "', type="input_json_delta"
+                        ),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=InputJSONDelta(partial_json="S", type="input_json_delta"),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=InputJSONDelta(
+                            partial_json="an ", type="input_json_delta"
+                        ),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=InputJSONDelta(
+                            partial_json="Francisco, C", type="input_json_delta"
+                        ),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=InputJSONDelta(
+                            partial_json='A"}', type="input_json_delta"
+                        ),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockStopEvent(type="content_block_stop", index=0),
+                    MessageDeltaEvent(
+                        delta=Delta(stop_reason="tool_use", stop_sequence=None),
+                        usage=MessageDeltaUsage(output_tokens=41),
+                        type="message_delta",
+                    ),
+                ]
+            )
         )
+    )
 
-        async for _ in message:
-            pass
+    sentry_init(
+        integrations=[AnthropicIntegration(include_prompts=include_prompts)],
+        traces_sample_rate=1.0,
+        send_default_pii=send_default_pii,
+    )
+    events = capture_events()
+
+    messages = [
+        {
+            "role": "user",
+            "content": "What is the weather like in San Francisco?",
+        }
+    ]
+
+    with mock.patch.object(
+        client._client,
+        "send",
+        return_value=response,
+    ) as _:
+        with start_transaction(name="anthropic"):
+            async with client.messages.stream(
+                max_tokens=1024,
+                messages=messages,
+                model="model",
+            ) as stream:
+                async for event in stream:
+                    pass
 
-    assert message == returned_stream
     assert len(events) == 1
     (event,) = events
 
@@ -666,6 +1286,7 @@ async def test_streaming_create_message_with_input_json_delta_async(
 
     assert span["op"] == OP.GEN_AI_CHAT
     assert span["description"] == "chat model"
+    assert span["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
     assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
     assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model"
 
@@ -676,7 +1297,7 @@ async def test_streaming_create_message_with_input_json_delta_async(
         )
         assert (
             span["data"][SPANDATA.GEN_AI_RESPONSE_TEXT]
-            == "{'location': 'San Francisco, CA'}"
+            == '{"location": "San Francisco, CA"}'
         )
 
     else:
@@ -730,6 +1351,7 @@ def test_span_status_error(sentry_init, capture_events):
     assert transaction["spans"][0]["status"] == "internal_error"
     assert transaction["spans"][0]["tags"]["status"] == "internal_error"
     assert transaction["contexts"]["trace"]["status"] == "internal_error"
+    assert transaction["spans"][0]["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
     assert transaction["spans"][0]["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
 
 
@@ -755,6 +1377,7 @@ async def test_span_status_error_async(sentry_init, capture_events):
     assert transaction["spans"][0]["status"] == "internal_error"
     assert transaction["spans"][0]["tags"]["status"] == "internal_error"
     assert transaction["contexts"]["trace"]["status"] == "internal_error"
+    assert transaction["spans"][0]["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
     assert transaction["spans"][0]["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
 
 
@@ -803,6 +1426,7 @@ def test_span_origin(sentry_init, capture_events):
 
     assert event["contexts"]["trace"]["origin"] == "manual"
     assert event["spans"][0]["origin"] == "auto.ai.anthropic"
+    assert event["spans"][0]["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
     assert event["spans"][0]["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
 
 
@@ -831,6 +1455,7 @@ async def test_span_origin_async(sentry_init, capture_events):
 
     assert event["contexts"]["trace"]["origin"] == "manual"
     assert event["spans"][0]["origin"] == "auto.ai.anthropic"
+    assert event["spans"][0]["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
     assert event["spans"][0]["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
 
 
@@ -852,13 +1477,15 @@ def test_collect_ai_data_with_input_json_delta():
 
     content_blocks = []
 
-    model, new_usage, new_content_blocks = _collect_ai_data(
+    model, new_usage, new_content_blocks, response_id, finish_reason = _collect_ai_data(
         event, model, usage, content_blocks
     )
     assert model is None
     assert new_usage.input_tokens == usage.input_tokens
     assert new_usage.output_tokens == usage.output_tokens
     assert new_content_blocks == ["test"]
+    assert response_id is None
+    assert finish_reason is None
 
 
 @pytest.mark.skipif(
@@ -951,6 +1578,7 @@ def mock_messages_create(*args, **kwargs):
 
     # Verify that the span was created correctly
     assert span["op"] == "gen_ai.chat"
+    assert span["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
     assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
     assert SPANDATA.GEN_AI_REQUEST_MESSAGES in span["data"]
 
@@ -996,6 +1624,7 @@ def test_anthropic_message_truncation(sentry_init, capture_events):
     assert len(chat_spans) > 0
 
     chat_span = chat_spans[0]
+    assert chat_span["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
     assert chat_span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
     assert SPANDATA.GEN_AI_REQUEST_MESSAGES in chat_span["data"]
 
@@ -1047,6 +1676,7 @@ async def test_anthropic_message_truncation_async(sentry_init, capture_events):
     assert len(chat_spans) > 0
 
     chat_span = chat_spans[0]
+    assert chat_span["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
     assert chat_span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
     assert SPANDATA.GEN_AI_REQUEST_MESSAGES in chat_span["data"]
 
@@ -1058,9 +1688,95 @@ async def test_anthropic_message_truncation_async(sentry_init, capture_events):
     assert len(parsed_messages) == 1
     assert "small message 5" in str(parsed_messages[0])
 
-    assert tx["_meta"]["spans"]["0"]["data"]["gen_ai.request.messages"][""]["len"] == 5
+    assert tx["_meta"]["spans"]["0"]["data"]["gen_ai.request.messages"][""]["len"] == 5
+
+
+@pytest.mark.parametrize(
+    "send_default_pii, include_prompts",
+    [
+        (True, True),
+        (True, False),
+        (False, True),
+        (False, False),
+    ],
+)
+def test_nonstreaming_create_message_with_system_prompt(
+    sentry_init, capture_events, send_default_pii, include_prompts
+):
+    """Test that system prompts are properly captured in GEN_AI_REQUEST_MESSAGES."""
+    sentry_init(
+        integrations=[AnthropicIntegration(include_prompts=include_prompts)],
+        traces_sample_rate=1.0,
+        send_default_pii=send_default_pii,
+    )
+    events = capture_events()
+    client = Anthropic(api_key="z")
+    client.messages._post = mock.Mock(return_value=EXAMPLE_MESSAGE)
+
+    messages = [
+        {
+            "role": "user",
+            "content": "Hello, Claude",
+        }
+    ]
+
+    with start_transaction(name="anthropic"):
+        response = client.messages.create(
+            max_tokens=1024,
+            messages=messages,
+            model="model",
+            system="You are a helpful assistant.",
+        )
+
+    assert response == EXAMPLE_MESSAGE
+    usage = response.usage
+
+    assert usage.input_tokens == 10
+    assert usage.output_tokens == 20
+
+    assert len(events) == 1
+    (event,) = events
+
+    assert event["type"] == "transaction"
+    assert event["transaction"] == "anthropic"
+
+    assert len(event["spans"]) == 1
+    (span,) = event["spans"]
+
+    assert span["op"] == OP.GEN_AI_CHAT
+    assert span["description"] == "chat model"
+    assert span["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
+    assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
+    assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model"
+
+    if send_default_pii and include_prompts:
+        assert SPANDATA.GEN_AI_SYSTEM_INSTRUCTIONS in span["data"]
+        system_instructions = json.loads(
+            span["data"][SPANDATA.GEN_AI_SYSTEM_INSTRUCTIONS]
+        )
+        assert system_instructions == [
+            {"type": "text", "content": "You are a helpful assistant."}
+        ]
+
+        assert SPANDATA.GEN_AI_REQUEST_MESSAGES in span["data"]
+        stored_messages = json.loads(span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES])
+        assert len(stored_messages) == 1
+        assert stored_messages[0]["role"] == "user"
+        assert stored_messages[0]["content"] == "Hello, Claude"
+        assert span["data"][SPANDATA.GEN_AI_RESPONSE_TEXT] == "Hi, I'm Claude."
+    else:
+        assert SPANDATA.GEN_AI_SYSTEM_INSTRUCTIONS not in span["data"]
+        assert SPANDATA.GEN_AI_REQUEST_MESSAGES not in span["data"]
+        assert SPANDATA.GEN_AI_RESPONSE_TEXT not in span["data"]
+
+    assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 10
+    assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 20
+    assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 30
+    assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is False
+    assert span["data"][SPANDATA.GEN_AI_RESPONSE_FINISH_REASONS] == ["end_turn"]
 
 
+@pytest.mark.asyncio
 @pytest.mark.parametrize(
     "send_default_pii, include_prompts",
     [
@@ -1070,18 +1786,18 @@ async def test_anthropic_message_truncation_async(sentry_init, capture_events):
         (False, False),
     ],
 )
-def test_nonstreaming_create_message_with_system_prompt(
+async def test_nonstreaming_create_message_with_system_prompt_async(
     sentry_init, capture_events, send_default_pii, include_prompts
 ):
-    """Test that system prompts are properly captured in GEN_AI_REQUEST_MESSAGES."""
+    """Test that system prompts are properly captured in GEN_AI_REQUEST_MESSAGES (async)."""
     sentry_init(
         integrations=[AnthropicIntegration(include_prompts=include_prompts)],
         traces_sample_rate=1.0,
         send_default_pii=send_default_pii,
     )
     events = capture_events()
-    client = Anthropic(api_key="z")
-    client.messages._post = mock.Mock(return_value=EXAMPLE_MESSAGE)
+    client = AsyncAnthropic(api_key="z")
+    client.messages._post = AsyncMock(return_value=EXAMPLE_MESSAGE)
 
     messages = [
         {
@@ -1091,7 +1807,7 @@ def test_nonstreaming_create_message_with_system_prompt(
     ]
 
     with start_transaction(name="anthropic"):
-        response = client.messages.create(
+        response = await client.messages.create(
             max_tokens=1024,
             messages=messages,
             model="model",
@@ -1115,6 +1831,7 @@ def test_nonstreaming_create_message_with_system_prompt(
 
     assert span["op"] == OP.GEN_AI_CHAT
     assert span["description"] == "chat model"
+    assert span["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
     assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
     assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model"
 
@@ -1142,9 +1859,9 @@ def test_nonstreaming_create_message_with_system_prompt(
     assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 20
     assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 30
     assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is False
+    assert span["data"][SPANDATA.GEN_AI_RESPONSE_FINISH_REASONS] == ["end_turn"]
 
 
-@pytest.mark.asyncio
 @pytest.mark.parametrize(
     "send_default_pii, include_prompts",
     [
@@ -1154,18 +1871,60 @@ def test_nonstreaming_create_message_with_system_prompt(
         (False, False),
     ],
 )
-async def test_nonstreaming_create_message_with_system_prompt_async(
-    sentry_init, capture_events, send_default_pii, include_prompts
+def test_streaming_create_message_with_system_prompt(
+    sentry_init,
+    capture_events,
+    send_default_pii,
+    include_prompts,
+    get_model_response,
+    server_side_event_chunks,
 ):
-    """Test that system prompts are properly captured in GEN_AI_REQUEST_MESSAGES (async)."""
+    """Test that system prompts are properly captured in streaming mode."""
+    client = Anthropic(api_key="z")
+
+    response = get_model_response(
+        server_side_event_chunks(
+            [
+                MessageStartEvent(
+                    message=EXAMPLE_MESSAGE,
+                    type="message_start",
+                ),
+                ContentBlockStartEvent(
+                    type="content_block_start",
+                    index=0,
+                    content_block=TextBlock(type="text", text=""),
+                ),
+                ContentBlockDeltaEvent(
+                    delta=TextDelta(text="Hi", type="text_delta"),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockDeltaEvent(
+                    delta=TextDelta(text="!", type="text_delta"),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockDeltaEvent(
+                    delta=TextDelta(text=" I'm Claude!", type="text_delta"),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockStopEvent(type="content_block_stop", index=0),
+                MessageDeltaEvent(
+                    delta=Delta(),
+                    usage=MessageDeltaUsage(output_tokens=10),
+                    type="message_delta",
+                ),
+            ]
+        )
+    )
+
     sentry_init(
         integrations=[AnthropicIntegration(include_prompts=include_prompts)],
         traces_sample_rate=1.0,
         send_default_pii=send_default_pii,
     )
     events = capture_events()
-    client = AsyncAnthropic(api_key="z")
-    client.messages._post = AsyncMock(return_value=EXAMPLE_MESSAGE)
 
     messages = [
         {
@@ -1174,19 +1933,22 @@ async def test_nonstreaming_create_message_with_system_prompt_async(
         }
     ]
 
-    with start_transaction(name="anthropic"):
-        response = await client.messages.create(
-            max_tokens=1024,
-            messages=messages,
-            model="model",
-            system="You are a helpful assistant.",
-        )
-
-    assert response == EXAMPLE_MESSAGE
-    usage = response.usage
+    with mock.patch.object(
+        client._client,
+        "send",
+        return_value=response,
+    ) as _:
+        with start_transaction(name="anthropic"):
+            message = client.messages.create(
+                max_tokens=1024,
+                messages=messages,
+                model="model",
+                stream=True,
+                system="You are a helpful assistant.",
+            )
 
-    assert usage.input_tokens == 10
-    assert usage.output_tokens == 20
+            for _ in message:
+                pass
 
     assert len(events) == 1
     (event,) = events
@@ -1199,6 +1961,7 @@ async def test_nonstreaming_create_message_with_system_prompt_async(
 
     assert span["op"] == OP.GEN_AI_CHAT
     assert span["description"] == "chat model"
+    assert span["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
     assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
     assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model"
 
@@ -1216,16 +1979,17 @@ async def test_nonstreaming_create_message_with_system_prompt_async(
         assert len(stored_messages) == 1
         assert stored_messages[0]["role"] == "user"
         assert stored_messages[0]["content"] == "Hello, Claude"
-        assert span["data"][SPANDATA.GEN_AI_RESPONSE_TEXT] == "Hi, I'm Claude."
+        assert span["data"][SPANDATA.GEN_AI_RESPONSE_TEXT] == "Hi! I'm Claude!"
+
     else:
         assert SPANDATA.GEN_AI_SYSTEM_INSTRUCTIONS not in span["data"]
         assert SPANDATA.GEN_AI_REQUEST_MESSAGES not in span["data"]
         assert SPANDATA.GEN_AI_RESPONSE_TEXT not in span["data"]
 
     assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 10
-    assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 20
-    assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 30
-    assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is False
+    assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 10
+    assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 20
+    assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True
 
 
 @pytest.mark.parametrize(
@@ -1237,44 +2001,53 @@ async def test_nonstreaming_create_message_with_system_prompt_async(
         (False, False),
     ],
 )
-def test_streaming_create_message_with_system_prompt(
-    sentry_init, capture_events, send_default_pii, include_prompts
+def test_stream_messages_with_system_prompt(
+    sentry_init,
+    capture_events,
+    send_default_pii,
+    include_prompts,
+    get_model_response,
+    server_side_event_chunks,
 ):
     """Test that system prompts are properly captured in streaming mode."""
     client = Anthropic(api_key="z")
-    returned_stream = Stream(cast_to=None, response=None, client=client)
-    returned_stream._iterator = [
-        MessageStartEvent(
-            message=EXAMPLE_MESSAGE,
-            type="message_start",
-        ),
-        ContentBlockStartEvent(
-            type="content_block_start",
-            index=0,
-            content_block=TextBlock(type="text", text=""),
-        ),
-        ContentBlockDeltaEvent(
-            delta=TextDelta(text="Hi", type="text_delta"),
-            index=0,
-            type="content_block_delta",
-        ),
-        ContentBlockDeltaEvent(
-            delta=TextDelta(text="!", type="text_delta"),
-            index=0,
-            type="content_block_delta",
-        ),
-        ContentBlockDeltaEvent(
-            delta=TextDelta(text=" I'm Claude!", type="text_delta"),
-            index=0,
-            type="content_block_delta",
-        ),
-        ContentBlockStopEvent(type="content_block_stop", index=0),
-        MessageDeltaEvent(
-            delta=Delta(),
-            usage=MessageDeltaUsage(output_tokens=10),
-            type="message_delta",
-        ),
-    ]
+
+    response = get_model_response(
+        server_side_event_chunks(
+            [
+                MessageStartEvent(
+                    message=EXAMPLE_MESSAGE,
+                    type="message_start",
+                ),
+                ContentBlockStartEvent(
+                    type="content_block_start",
+                    index=0,
+                    content_block=TextBlock(type="text", text=""),
+                ),
+                ContentBlockDeltaEvent(
+                    delta=TextDelta(text="Hi", type="text_delta"),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockDeltaEvent(
+                    delta=TextDelta(text="!", type="text_delta"),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockDeltaEvent(
+                    delta=TextDelta(text=" I'm Claude!", type="text_delta"),
+                    index=0,
+                    type="content_block_delta",
+                ),
+                ContentBlockStopEvent(type="content_block_stop", index=0),
+                MessageDeltaEvent(
+                    delta=Delta(),
+                    usage=MessageDeltaUsage(output_tokens=10),
+                    type="message_delta",
+                ),
+            ]
+        )
+    )
 
     sentry_init(
         integrations=[AnthropicIntegration(include_prompts=include_prompts)],
@@ -1282,7 +2055,6 @@ def test_streaming_create_message_with_system_prompt(
         send_default_pii=send_default_pii,
     )
     events = capture_events()
-    client.messages._post = mock.Mock(return_value=returned_stream)
 
     messages = [
         {
@@ -1291,19 +2063,153 @@ def test_streaming_create_message_with_system_prompt(
         }
     ]
 
-    with start_transaction(name="anthropic"):
-        message = client.messages.create(
-            max_tokens=1024,
-            messages=messages,
-            model="model",
-            stream=True,
-            system="You are a helpful assistant.",
+    with mock.patch.object(
+        client._client,
+        "send",
+        return_value=response,
+    ) as _:
+        with start_transaction(name="anthropic"):
+            with client.messages.stream(
+                max_tokens=1024,
+                messages=messages,
+                model="model",
+                system="You are a helpful assistant.",
+            ) as stream:
+                for event in stream:
+                    pass
+
+    assert len(events) == 1
+    (event,) = events
+
+    assert event["type"] == "transaction"
+    assert event["transaction"] == "anthropic"
+
+    assert len(event["spans"]) == 1
+    (span,) = event["spans"]
+
+    assert span["op"] == OP.GEN_AI_CHAT
+    assert span["description"] == "chat model"
+    assert span["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
+    assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
+    assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model"
+
+    if send_default_pii and include_prompts:
+        assert SPANDATA.GEN_AI_SYSTEM_INSTRUCTIONS in span["data"]
+        system_instructions = json.loads(
+            span["data"][SPANDATA.GEN_AI_SYSTEM_INSTRUCTIONS]
+        )
+        assert system_instructions == [
+            {"type": "text", "content": "You are a helpful assistant."}
+        ]
+
+        assert SPANDATA.GEN_AI_REQUEST_MESSAGES in span["data"]
+        stored_messages = json.loads(span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES])
+        assert len(stored_messages) == 1
+        assert stored_messages[0]["role"] == "user"
+        assert stored_messages[0]["content"] == "Hello, Claude"
+        assert span["data"][SPANDATA.GEN_AI_RESPONSE_TEXT] == "Hi! I'm Claude!"
+
+    else:
+        assert SPANDATA.GEN_AI_SYSTEM_INSTRUCTIONS not in span["data"]
+        assert SPANDATA.GEN_AI_REQUEST_MESSAGES not in span["data"]
+        assert SPANDATA.GEN_AI_RESPONSE_TEXT not in span["data"]
+
+    assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 10
+    assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 10
+    assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 20
+    assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "send_default_pii, include_prompts",
+    [
+        (True, True),
+        (True, False),
+        (False, True),
+        (False, False),
+    ],
+)
+async def test_stream_message_with_system_prompt_async(
+    sentry_init,
+    capture_events,
+    send_default_pii,
+    include_prompts,
+    get_model_response,
+    async_iterator,
+    server_side_event_chunks,
+):
+    """Test that system prompts are properly captured in streaming mode (async)."""
+    client = AsyncAnthropic(api_key="z")
+
+    response = get_model_response(
+        async_iterator(
+            server_side_event_chunks(
+                [
+                    MessageStartEvent(
+                        message=EXAMPLE_MESSAGE,
+                        type="message_start",
+                    ),
+                    ContentBlockStartEvent(
+                        type="content_block_start",
+                        index=0,
+                        content_block=TextBlock(type="text", text=""),
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=TextDelta(text="Hi", type="text_delta"),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=TextDelta(text="!", type="text_delta"),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=TextDelta(text=" I'm Claude!", type="text_delta"),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockStopEvent(type="content_block_stop", index=0),
+                    MessageDeltaEvent(
+                        delta=Delta(),
+                        usage=MessageDeltaUsage(output_tokens=10),
+                        type="message_delta",
+                    ),
+                ]
+            )
         )
+    )
+
+    sentry_init(
+        integrations=[AnthropicIntegration(include_prompts=include_prompts)],
+        traces_sample_rate=1.0,
+        send_default_pii=send_default_pii,
+    )
+    events = capture_events()
 
-        for _ in message:
-            pass
+    messages = [
+        {
+            "role": "user",
+            "content": "Hello, Claude",
+        }
+    ]
+
+    with mock.patch.object(
+        client._client,
+        "send",
+        return_value=response,
+    ) as _:
+        with start_transaction(name="anthropic"):
+            async with client.messages.stream(
+                max_tokens=1024,
+                messages=messages,
+                model="model",
+                system="You are a helpful assistant.",
+            ) as stream:
+                async for event in stream:
+                    pass
 
-    assert message == returned_stream
     assert len(events) == 1
     (event,) = events
 
@@ -1315,6 +2221,7 @@ def test_streaming_create_message_with_system_prompt(
 
     assert span["op"] == OP.GEN_AI_CHAT
     assert span["description"] == "chat model"
+    assert span["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
     assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
     assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model"
 
@@ -1356,44 +2263,54 @@ def test_streaming_create_message_with_system_prompt(
     ],
 )
 async def test_streaming_create_message_with_system_prompt_async(
-    sentry_init, capture_events, send_default_pii, include_prompts, async_iterator
+    sentry_init,
+    capture_events,
+    send_default_pii,
+    include_prompts,
+    get_model_response,
+    async_iterator,
+    server_side_event_chunks,
 ):
     """Test that system prompts are properly captured in streaming mode (async)."""
     client = AsyncAnthropic(api_key="z")
-    returned_stream = AsyncStream(cast_to=None, response=None, client=client)
-    returned_stream._iterator = async_iterator(
-        [
-            MessageStartEvent(
-                message=EXAMPLE_MESSAGE,
-                type="message_start",
-            ),
-            ContentBlockStartEvent(
-                type="content_block_start",
-                index=0,
-                content_block=TextBlock(type="text", text=""),
-            ),
-            ContentBlockDeltaEvent(
-                delta=TextDelta(text="Hi", type="text_delta"),
-                index=0,
-                type="content_block_delta",
-            ),
-            ContentBlockDeltaEvent(
-                delta=TextDelta(text="!", type="text_delta"),
-                index=0,
-                type="content_block_delta",
-            ),
-            ContentBlockDeltaEvent(
-                delta=TextDelta(text=" I'm Claude!", type="text_delta"),
-                index=0,
-                type="content_block_delta",
-            ),
-            ContentBlockStopEvent(type="content_block_stop", index=0),
-            MessageDeltaEvent(
-                delta=Delta(),
-                usage=MessageDeltaUsage(output_tokens=10),
-                type="message_delta",
-            ),
-        ]
+
+    response = get_model_response(
+        async_iterator(
+            server_side_event_chunks(
+                [
+                    MessageStartEvent(
+                        message=EXAMPLE_MESSAGE,
+                        type="message_start",
+                    ),
+                    ContentBlockStartEvent(
+                        type="content_block_start",
+                        index=0,
+                        content_block=TextBlock(type="text", text=""),
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=TextDelta(text="Hi", type="text_delta"),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=TextDelta(text="!", type="text_delta"),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockDeltaEvent(
+                        delta=TextDelta(text=" I'm Claude!", type="text_delta"),
+                        index=0,
+                        type="content_block_delta",
+                    ),
+                    ContentBlockStopEvent(type="content_block_stop", index=0),
+                    MessageDeltaEvent(
+                        delta=Delta(),
+                        usage=MessageDeltaUsage(output_tokens=10),
+                        type="message_delta",
+                    ),
+                ]
+            )
+        )
     )
 
     sentry_init(
@@ -1402,7 +2319,6 @@ async def test_streaming_create_message_with_system_prompt_async(
         send_default_pii=send_default_pii,
     )
     events = capture_events()
-    client.messages._post = AsyncMock(return_value=returned_stream)
 
     messages = [
         {
@@ -1411,19 +2327,23 @@ async def test_streaming_create_message_with_system_prompt_async(
         }
     ]
 
-    with start_transaction(name="anthropic"):
-        message = await client.messages.create(
-            max_tokens=1024,
-            messages=messages,
-            model="model",
-            stream=True,
-            system="You are a helpful assistant.",
-        )
+    with mock.patch.object(
+        client._client,
+        "send",
+        return_value=response,
+    ) as _:
+        with start_transaction(name="anthropic"):
+            message = await client.messages.create(
+                max_tokens=1024,
+                messages=messages,
+                model="model",
+                stream=True,
+                system="You are a helpful assistant.",
+            )
 
-        async for _ in message:
-            pass
+            async for _ in message:
+                pass
 
-    assert message == returned_stream
     assert len(events) == 1
     (event,) = events
 
@@ -1435,6 +2355,7 @@ async def test_streaming_create_message_with_system_prompt_async(
 
     assert span["op"] == OP.GEN_AI_CHAT
     assert span["description"] == "chat model"
+    assert span["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
     assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
     assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model"
 
@@ -1501,6 +2422,7 @@ def test_system_prompt_with_complex_structure(sentry_init, capture_events):
     assert len(event["spans"]) == 1
     (span,) = event["spans"]
 
+    assert span["data"][SPANDATA.GEN_AI_SYSTEM] == "anthropic"
     assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat"
 
     assert SPANDATA.GEN_AI_SYSTEM_INSTRUCTIONS in span["data"]
@@ -2360,50 +3282,129 @@ def test_input_tokens_include_cache_read_nonstreaming(sentry_init, capture_event
     assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS_CACHE_WRITE] == 0
 
 
-def test_input_tokens_include_cache_read_streaming(sentry_init, capture_events):
+def test_input_tokens_include_cache_read_streaming(
+    sentry_init,
+    capture_events,
+    get_model_response,
+    server_side_event_chunks,
+):
     """
     Test that gen_ai.usage.input_tokens includes cache_read tokens (streaming).
 
     Same cache-hit scenario as non-streaming, using realistic streaming events.
     """
     client = Anthropic(api_key="z")
-    returned_stream = Stream(cast_to=None, response=None, client=client)
-    returned_stream._iterator = [
-        MessageStartEvent(
-            type="message_start",
-            message=Message(
-                id="id",
+
+    response = get_model_response(
+        server_side_event_chunks(
+            [
+                MessageStartEvent(
+                    type="message_start",
+                    message=Message(
+                        id="id",
+                        model="claude-sonnet-4-20250514",
+                        role="assistant",
+                        content=[],
+                        type="message",
+                        usage=Usage(
+                            input_tokens=19,
+                            output_tokens=0,
+                            cache_read_input_tokens=2846,
+                            cache_creation_input_tokens=0,
+                        ),
+                    ),
+                ),
+                MessageDeltaEvent(
+                    type="message_delta",
+                    delta=Delta(stop_reason="end_turn"),
+                    usage=MessageDeltaUsage(output_tokens=14),
+                ),
+            ]
+        )
+    )
+
+    sentry_init(integrations=[AnthropicIntegration()], traces_sample_rate=1.0)
+    events = capture_events()
+
+    with mock.patch.object(
+        client._client,
+        "send",
+        return_value=response,
+    ) as _:
+        with start_transaction(name="anthropic"):
+            for _ in client.messages.create(
+                max_tokens=1024,
+                messages=[{"role": "user", "content": "What is 5+5?"}],
                 model="claude-sonnet-4-20250514",
-                role="assistant",
-                content=[],
-                type="message",
-                usage=Usage(
-                    input_tokens=19,
-                    output_tokens=0,
-                    cache_read_input_tokens=2846,
-                    cache_creation_input_tokens=0,
+                stream=True,
+            ):
+                pass
+
+    (span,) = events[0]["spans"]
+
+    # input_tokens should be total: 19 + 2846 = test_stream_messages_input_tokens_include_cache_read_streaming
+    assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 2865
+    assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 2879  # 2865 + 14
+    assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS_CACHED] == 2846
+    assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS_CACHE_WRITE] == 0
+
+
+def test_stream_messages_input_tokens_include_cache_read_streaming(
+    sentry_init,
+    capture_events,
+    get_model_response,
+    server_side_event_chunks,
+):
+    """
+    Test that gen_ai.usage.input_tokens includes cache_read tokens (streaming).
+
+    Same cache-hit scenario as non-streaming, using realistic streaming events.
+    """
+    client = Anthropic(api_key="z")
+    response = get_model_response(
+        server_side_event_chunks(
+            [
+                MessageStartEvent(
+                    type="message_start",
+                    message=Message(
+                        id="id",
+                        model="claude-sonnet-4-20250514",
+                        role="assistant",
+                        content=[],
+                        type="message",
+                        usage=Usage(
+                            input_tokens=19,
+                            output_tokens=0,
+                            cache_read_input_tokens=2846,
+                            cache_creation_input_tokens=0,
+                        ),
+                    ),
                 ),
-            ),
-        ),
-        MessageDeltaEvent(
-            type="message_delta",
-            delta=Delta(stop_reason="end_turn"),
-            usage=MessageDeltaUsage(output_tokens=14),
-        ),
-    ]
+                MessageDeltaEvent(
+                    type="message_delta",
+                    delta=Delta(stop_reason="end_turn"),
+                    usage=MessageDeltaUsage(output_tokens=14),
+                ),
+            ]
+        )
+    )
 
     sentry_init(integrations=[AnthropicIntegration()], traces_sample_rate=1.0)
     events = capture_events()
-    client.messages._post = mock.Mock(return_value=returned_stream)
 
-    with start_transaction(name="anthropic"):
-        for _ in client.messages.create(
-            max_tokens=1024,
-            messages=[{"role": "user", "content": "What is 5+5?"}],
-            model="claude-sonnet-4-20250514",
-            stream=True,
-        ):
-            pass
+    with mock.patch.object(
+        client._client,
+        "send",
+        return_value=response,
+    ) as _:
+        with start_transaction(name="anthropic"):
+            with client.messages.stream(
+                max_tokens=1024,
+                messages=[{"role": "user", "content": "What is 5+5?"}],
+                model="claude-sonnet-4-20250514",
+            ) as stream:
+                for event in stream:
+                    pass
 
     (span,) = events[0]["spans"]
 
@@ -2452,46 +3453,119 @@ def test_input_tokens_unchanged_without_caching(sentry_init, capture_events):
     assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 32  # 20 + 12
 
 
-def test_cache_tokens_streaming(sentry_init, capture_events):
+def test_cache_tokens_streaming(
+    sentry_init,
+    capture_events,
+    get_model_response,
+    server_side_event_chunks,
+):
     """Test cache tokens are tracked for streaming responses."""
     client = Anthropic(api_key="z")
-    returned_stream = Stream(cast_to=None, response=None, client=client)
-    returned_stream._iterator = [
-        MessageStartEvent(
-            type="message_start",
-            message=Message(
-                id="id",
+
+    response = get_model_response(
+        server_side_event_chunks(
+            [
+                MessageStartEvent(
+                    type="message_start",
+                    message=Message(
+                        id="id",
+                        model="claude-3-5-sonnet-20241022",
+                        role="assistant",
+                        content=[],
+                        type="message",
+                        usage=Usage(
+                            input_tokens=100,
+                            output_tokens=0,
+                            cache_read_input_tokens=80,
+                            cache_creation_input_tokens=20,
+                        ),
+                    ),
+                ),
+                MessageDeltaEvent(
+                    type="message_delta",
+                    delta=Delta(stop_reason="end_turn"),
+                    usage=MessageDeltaUsage(output_tokens=10),
+                ),
+            ]
+        )
+    )
+
+    sentry_init(integrations=[AnthropicIntegration()], traces_sample_rate=1.0)
+    events = capture_events()
+
+    with mock.patch.object(
+        client._client,
+        "send",
+        return_value=response,
+    ) as _:
+        with start_transaction(name="anthropic"):
+            for _ in client.messages.create(
+                max_tokens=1024,
+                messages=[{"role": "user", "content": "Hello"}],
                 model="claude-3-5-sonnet-20241022",
-                role="assistant",
-                content=[],
-                type="message",
-                usage=Usage(
-                    input_tokens=100,
-                    output_tokens=0,
-                    cache_read_input_tokens=80,
-                    cache_creation_input_tokens=20,
+                stream=True,
+            ):
+                pass
+
+    (span,) = events[0]["spans"]
+    # input_tokens normalized: 100 + 80 (cache_read) + 20 (cache_write) = 200
+    assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 200
+    assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 10
+    assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 210
+    assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS_CACHED] == 80
+    assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS_CACHE_WRITE] == 20
+
+
+def test_stream_messages_cache_tokens(
+    sentry_init, capture_events, get_model_response, server_side_event_chunks
+):
+    """Test cache tokens are tracked for streaming responses."""
+    client = Anthropic(api_key="z")
+
+    response = get_model_response(
+        server_side_event_chunks(
+            [
+                MessageStartEvent(
+                    type="message_start",
+                    message=Message(
+                        id="id",
+                        model="claude-3-5-sonnet-20241022",
+                        role="assistant",
+                        content=[],
+                        type="message",
+                        usage=Usage(
+                            input_tokens=100,
+                            output_tokens=0,
+                            cache_read_input_tokens=80,
+                            cache_creation_input_tokens=20,
+                        ),
+                    ),
                 ),
-            ),
-        ),
-        MessageDeltaEvent(
-            type="message_delta",
-            delta=Delta(stop_reason="end_turn"),
-            usage=MessageDeltaUsage(output_tokens=10),
-        ),
-    ]
+                MessageDeltaEvent(
+                    type="message_delta",
+                    delta=Delta(stop_reason="end_turn"),
+                    usage=MessageDeltaUsage(output_tokens=10),
+                ),
+            ]
+        )
+    )
 
     sentry_init(integrations=[AnthropicIntegration()], traces_sample_rate=1.0)
     events = capture_events()
-    client.messages._post = mock.Mock(return_value=returned_stream)
 
-    with start_transaction(name="anthropic"):
-        for _ in client.messages.create(
-            max_tokens=1024,
-            messages=[{"role": "user", "content": "Hello"}],
-            model="claude-3-5-sonnet-20241022",
-            stream=True,
-        ):
-            pass
+    with mock.patch.object(
+        client._client,
+        "send",
+        return_value=response,
+    ) as _:
+        with start_transaction(name="anthropic"):
+            with client.messages.stream(
+                max_tokens=1024,
+                messages=[{"role": "user", "content": "Hello"}],
+                model="claude-3-5-sonnet-20241022",
+            ) as stream:
+                for event in stream:
+                    pass
 
     (span,) = events[0]["spans"]
     # input_tokens normalized: 100 + 80 (cache_read) + 20 (cache_write) = 200
diff --git a/tests/integrations/celery/test_breadcrumbs.py b/tests/integrations/celery/test_breadcrumbs.py
new file mode 100644
index 0000000000..2d82e2cecc
--- /dev/null
+++ b/tests/integrations/celery/test_breadcrumbs.py
@@ -0,0 +1,155 @@
+"""Test to reproduce breadcrumb issue with failed Celery tasks."""
+import pytest
+from celery import Celery, VERSION
+import sentry_sdk
+from sentry_sdk.integrations.celery import CeleryIntegration
+
+
+@pytest.fixture
+def init_celery(sentry_init, request):
+    def inner(
+        propagate_traces=True,
+        backend="always_eager",
+        monitor_beat_tasks=False,
+        **kwargs,
+    ):
+        sentry_init(
+            integrations=[
+                CeleryIntegration(
+                    propagate_traces=propagate_traces,
+                    monitor_beat_tasks=monitor_beat_tasks,
+                )
+            ],
+            **kwargs,
+        )
+        celery = Celery(__name__)
+
+        if backend == "always_eager":
+            if VERSION < (4,):
+                celery.conf.CELERY_ALWAYS_EAGER = True
+            else:
+                celery.conf.task_always_eager = True
+        else:
+            raise ValueError(backend)
+
+        return celery
+
+    return inner
+
+
+def test_breadcrumbs_preserved_for_failed_task(capture_events, init_celery):
+    """Test that breadcrumbs are preserved when a Celery task fails."""
+    celery = init_celery(enable_tracing=False)
+    events = capture_events()
+    
+    @celery.task(name="test_breadcrumb_task")
+    def failing_task():
+        # Add a breadcrumb before failing
+        sentry_sdk.add_breadcrumb(
+            category="test",
+            message="This is a test breadcrumb",
+            level="info",
+        )
+        raise ValueError("Task failed!")
+    
+    # Run the failing task
+    result = failing_task.delay()
+    
+    # The error is captured via Sentry's integration
+    # Check that we captured an error event
+    assert len(events) >= 1, f"Expected at least 1 event, got {len(events)}"
+    
+    # Find the error event
+    error_events = [e for e in events if "exception" in e]
+    assert len(error_events) >= 1, f"Expected at least 1 error event, got {len(error_events)}: {events}"
+    
+    error_event = error_events[0]
+    
+    # Check that breadcrumbs are present
+    breadcrumbs = error_event.get("breadcrumbs", {}).get("values", [])
+    print(f"Breadcrumbs: {breadcrumbs}")
+    
+    # Find our test breadcrumb
+    test_breadcrumbs = [b for b in breadcrumbs if b.get("message") == "This is a test breadcrumb"]
+    assert len(test_breadcrumbs) >= 1, f"Expected to find test breadcrumb, got {len(test_breadcrumbs)} breadcrumbs: {breadcrumbs}"
+
+
+def test_breadcrumbs_preserved_with_retry(capture_events, init_celery):
+    """Test that breadcrumbs are preserved across task retries."""
+    celery = init_celery(enable_tracing=False)
+    events = capture_events()
+    
+    failures = [True, True, False]
+    
+    @celery.task(name="test_retry_task", bind=True, max_retries=2)
+    def retry_task(self):
+        # Add a breadcrumb each time
+        sentry_sdk.add_breadcrumb(
+            category="test",
+            message=f"Retry attempt {self.request.retries}",
+            level="info",
+        )
+        
+        if failures.pop(0):
+            try:
+                1 / 0
+            except Exception as exc:
+                raise self.retry(exc=exc, countdown=0)
+        return "success"
+    
+    # Run the task
+    result = retry_task.delay()
+    
+    # Should succeed after retries
+    assert result.get() == "success"
+    
+    # There should be no error events (retries are handled)
+    error_events = [e for e in events if "exception" in e]
+    print(f"Error events: {len(error_events)}")
+    print(f"All events: {len(events)}")
+
+
+def test_breadcrumbs_isolated_between_tasks(capture_events, init_celery):
+    """Test that breadcrumbs from one task don't leak to another."""
+    celery = init_celery(enable_tracing=False)
+    events = capture_events()
+    
+    @celery.task(name="task_a")
+    def task_a():
+        sentry_sdk.add_breadcrumb(
+            category="test",
+            message="Breadcrumb from task A",
+            level="info",
+        )
+        return "a"
+    
+    @celery.task(name="task_b")
+    def task_b():
+        sentry_sdk.add_breadcrumb(
+            category="test",
+            message="Breadcrumb from task B",
+            level="info",
+        )
+        raise ValueError("Task B failed!")
+    
+    # Run task A first
+    result_a = task_a.delay()
+    assert result_a.get() == "a"
+    
+    # Then run task B which fails
+    result_b = task_b.delay()
+    
+    # Find the error event for task B
+    error_events = [e for e in events if "exception" in e]
+    assert len(error_events) >= 1, f"Expected at least 1 error event, got {len(error_events)}: {events}"
+    
+    error_event = error_events[-1]
+    
+    # Check breadcrumbs
+    breadcrumbs = error_event.get("breadcrumbs", {}).get("values", [])
+    print(f"Breadcrumbs in task B error: {breadcrumbs}")
+    
+    # Task B error should only have breadcrumb from task B, not task A
+    messages = [b.get("message") for b in breadcrumbs]
+    assert "Breadcrumb from task B" in messages, f"Expected task B breadcrumb in {messages}"
+    assert "Breadcrumb from task A" not in messages, f"Task A breadcrumb leaked into task B error: {messages}"
diff --git a/tests/integrations/django/test_tasks.py b/tests/integrations/django/test_tasks.py
index 220d64b111..56c68b807f 100644
--- a/tests/integrations/django/test_tasks.py
+++ b/tests/integrations/django/test_tasks.py
@@ -1,7 +1,6 @@
 import pytest
 
 import sentry_sdk
-from sentry_sdk import start_span
 from sentry_sdk.integrations.django import DjangoIntegration
 from sentry_sdk.consts import OP
 
diff --git a/tests/integrations/huggingface_hub/test_huggingface_hub.py b/tests/integrations/huggingface_hub/test_huggingface_hub.py
index 851c1f717a..d17a7a31ef 100644
--- a/tests/integrations/huggingface_hub/test_huggingface_hub.py
+++ b/tests/integrations/huggingface_hub/test_huggingface_hub.py
@@ -2,7 +2,6 @@
 import pytest
 import re
 import responses
-import httpx
 
 from huggingface_hub import InferenceClient
 
diff --git a/tests/integrations/langchain/test_langchain.py b/tests/integrations/langchain/test_langchain.py
index 8a8d646113..132da0a9a0 100644
--- a/tests/integrations/langchain/test_langchain.py
+++ b/tests/integrations/langchain/test_langchain.py
@@ -297,6 +297,12 @@ def test_langchain_agent(
             f"and include_prompts={include_prompts}"
         )
 
+    # Verify finish_reasons is always an array of strings
+    assert chat_spans[0]["data"][SPANDATA.GEN_AI_RESPONSE_FINISH_REASONS] == [
+        "function_call"
+    ]
+    assert chat_spans[1]["data"][SPANDATA.GEN_AI_RESPONSE_FINISH_REASONS] == ["stop"]
+
     # Verify that available tools are always recorded regardless of PII settings
     for chat_span in chat_spans:
         span_data = chat_span.get("data", {})
diff --git a/tests/integrations/litellm/test_litellm.py b/tests/integrations/litellm/test_litellm.py
index ef129c6cfd..9022093fa3 100644
--- a/tests/integrations/litellm/test_litellm.py
+++ b/tests/integrations/litellm/test_litellm.py
@@ -19,7 +19,6 @@ async def __call__(self, *args, **kwargs):
 except ImportError:
     pytest.skip("litellm not installed", allow_module_level=True)
 
-import sentry_sdk
 from sentry_sdk import start_transaction
 from sentry_sdk.consts import OP, SPANDATA
 from sentry_sdk._types import BLOB_DATA_SUBSTITUTE
diff --git a/tests/integrations/openai/test_openai.py b/tests/integrations/openai/test_openai.py
index 7f75bb977e..23fb0d9ad7 100644
--- a/tests/integrations/openai/test_openai.py
+++ b/tests/integrations/openai/test_openai.py
@@ -46,8 +46,6 @@
     OpenAIIntegration,
     _calculate_token_usage,
 )
-from sentry_sdk._types import AnnotatedValue
-from sentry_sdk.serializer import serialize
 from sentry_sdk.utils import safe_serialize
 
 from unittest import mock  # python 3.3 and above
diff --git a/tests/integrations/openai_agents/test_openai_agents.py b/tests/integrations/openai_agents/test_openai_agents.py
index 117755b963..9edaa8501a 100644
--- a/tests/integrations/openai_agents/test_openai_agents.py
+++ b/tests/integrations/openai_agents/test_openai_agents.py
@@ -1,5 +1,4 @@
 import asyncio
-import re
 import pytest
 from unittest.mock import MagicMock, patch
 import os
@@ -19,7 +18,6 @@
 from agents.models.openai_responses import OpenAIResponsesModel
 
 from unittest import mock
-from unittest.mock import AsyncMock
 
 import agents
 from agents import (
@@ -46,15 +44,12 @@
     ResponseCompletedEvent,
     Response,
     ResponseUsage,
-    ResponseStreamEvent,
 )
 from openai.types.responses.response_usage import (
     InputTokensDetails,
     OutputTokensDetails,
 )
 
-from openai._response import AsyncAPIResponse
-from openai._models import FinalRequestOptions
 
 test_run_config = agents.RunConfig(tracing_disabled=True)
 
@@ -201,25 +196,6 @@ def test_agent_custom_model():
     )
 
 
-@pytest.fixture
-def get_model_response():
-    def inner(response_content):
-        model_request = httpx.Request(
-            "POST",
-            "/responses",
-        )
-
-        response = httpx.Response(
-            200,
-            request=model_request,
-            content=json.dumps(response_content.model_dump()).encode("utf-8"),
-        )
-
-        return response
-
-    return inner
-
-
 @pytest.mark.asyncio
 async def test_agent_invocation_span_no_pii(
     sentry_init, capture_events, test_agent, mock_model_response, get_model_response
@@ -228,7 +204,7 @@ async def test_agent_invocation_span_no_pii(
     model = OpenAIResponsesModel(model="gpt-4", openai_client=client)
     agent = test_agent.clone(model=model)
 
-    response = get_model_response(mock_model_response)
+    response = get_model_response(mock_model_response, serialize_pydantic=True)
 
     with patch.object(
         agent.model._client._client,
@@ -377,7 +353,7 @@ async def test_agent_invocation_span(
     model = OpenAIResponsesModel(model="gpt-4", openai_client=client)
     agent = test_agent_with_instructions(instructions).clone(model=model)
 
-    response = get_model_response(mock_model_response)
+    response = get_model_response(mock_model_response, serialize_pydantic=True)
 
     with patch.object(
         agent.model._client._client,
@@ -538,7 +514,7 @@ async def test_client_span_custom_model(
     model = OpenAIResponsesModel(model="my-custom-model", openai_client=client)
     agent = test_agent_custom_model.clone(model=model)
 
-    response = get_model_response(mock_model_response)
+    response = get_model_response(mock_model_response, serialize_pydantic=True)
 
     with patch.object(
         agent.model._client._client,
@@ -581,7 +557,7 @@ def test_agent_invocation_span_sync_no_pii(
     model = OpenAIResponsesModel(model="gpt-4", openai_client=client)
     agent = test_agent.clone(model=model)
 
-    response = get_model_response(mock_model_response)
+    response = get_model_response(mock_model_response, serialize_pydantic=True)
 
     with patch.object(
         agent.model._client._client,
@@ -724,7 +700,7 @@ def test_agent_invocation_span_sync(
     model = OpenAIResponsesModel(model="gpt-4", openai_client=client)
     agent = test_agent_with_instructions(instructions).clone(model=model)
 
-    response = get_model_response(mock_model_response)
+    response = get_model_response(mock_model_response, serialize_pydantic=True)
 
     with patch.object(
         agent.model._client._client,
@@ -906,7 +882,8 @@ async def test_handoff_span(sentry_init, capture_events, get_model_response):
                 ),
                 total_tokens=30,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     final_response = get_model_response(
@@ -944,7 +921,8 @@ async def test_handoff_span(sentry_init, capture_events, get_model_response):
                 ),
                 total_tokens=30,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     with patch.object(
@@ -1032,7 +1010,8 @@ async def test_max_turns_before_handoff_span(
                 ),
                 total_tokens=30,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     final_response = get_model_response(
@@ -1070,7 +1049,8 @@ async def test_max_turns_before_handoff_span(
                 ),
                 total_tokens=30,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     with patch.object(
@@ -1152,7 +1132,8 @@ def simple_test_tool(message: str) -> str:
                 ),
                 total_tokens=15,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     final_response = get_model_response(
@@ -1190,7 +1171,8 @@ def simple_test_tool(message: str) -> str:
                 ),
                 total_tokens=25,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     with patch.object(
@@ -1386,16 +1368,9 @@ def simple_test_tool(message: str) -> str:
     assert ai_client_span2["data"]["gen_ai.usage.total_tokens"] == 25
 
 
-def server_side_event_chunks(events):
-    for event in events:
-        payload = event.model_dump()
-        chunk = f"event: {payload['type']}\ndata: {json.dumps(payload)}\n\n"
-        yield chunk.encode("utf-8")
-
-
 @pytest.mark.asyncio
 async def test_hosted_mcp_tool_propagation_header_streamed(
-    sentry_init, test_agent, async_iterator
+    sentry_init, test_agent, async_iterator, server_side_event_chunks
 ):
     """
     Test responses API is given trace propagation headers with HostedMCPTool.
@@ -1594,7 +1569,7 @@ async def test_hosted_mcp_tool_propagation_headers(
         release="d08ebdb9309e1b004c6f52202de58a09c2268e42",
     )
 
-    response = get_model_response(EXAMPLE_RESPONSE)
+    response = get_model_response(EXAMPLE_RESPONSE, serialize_pydantic=True)
 
     with patch.object(
         agent_with_tool.model._client._client,
@@ -1905,7 +1880,8 @@ async def test_mcp_tool_execution_spans(
                 ),
                 total_tokens=15,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     final_response = get_model_response(
@@ -1943,7 +1919,8 @@ async def test_mcp_tool_execution_spans(
                 ),
                 total_tokens=25,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     with patch.object(
@@ -2035,7 +2012,8 @@ async def test_mcp_tool_execution_with_error(
                 ),
                 total_tokens=15,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     final_response = get_model_response(
@@ -2073,7 +2051,8 @@ async def test_mcp_tool_execution_with_error(
                 ),
                 total_tokens=25,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     with patch.object(
@@ -2163,7 +2142,8 @@ async def test_mcp_tool_execution_without_pii(
                 ),
                 total_tokens=15,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     final_response = get_model_response(
@@ -2201,7 +2181,8 @@ async def test_mcp_tool_execution_without_pii(
                 ),
                 total_tokens=25,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     with patch.object(
@@ -2259,7 +2240,7 @@ async def test_multiple_agents_asyncio(
     model = OpenAIResponsesModel(model="gpt-4", openai_client=client)
     agent = test_agent.clone(model=model)
 
-    response = get_model_response(mock_model_response)
+    response = get_model_response(mock_model_response, serialize_pydantic=True)
 
     with patch.object(
         agent.model._client._client,
@@ -2389,7 +2370,8 @@ def failing_tool(message: str) -> str:
                 ),
                 total_tokens=15,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     final_response = get_model_response(
@@ -2427,7 +2409,8 @@ def failing_tool(message: str) -> str:
                 ),
                 total_tokens=25,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     with patch.object(
@@ -2522,7 +2505,8 @@ async def test_invoke_agent_span_includes_usage_data(
                 ),
                 total_tokens=30,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     with patch.object(
@@ -2613,7 +2597,8 @@ async def test_ai_client_span_includes_response_model(
                 ),
                 total_tokens=30,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     with patch.object(
@@ -2700,7 +2685,8 @@ async def test_ai_client_span_response_model_with_chat_completions(
                 ),
                 total_tokens=40,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     with patch.object(
@@ -2777,7 +2763,8 @@ def calculator(a: int, b: int) -> int:
                 ),
                 total_tokens=15,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     final_response = get_model_response(
@@ -2815,7 +2802,8 @@ def calculator(a: int, b: int) -> int:
                 ),
                 total_tokens=35,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     with patch.object(
@@ -2903,7 +2891,8 @@ async def test_invoke_agent_span_includes_response_model(
                 ),
                 total_tokens=30,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     with patch.object(
@@ -2992,7 +2981,8 @@ def calculator(a: int, b: int) -> int:
                 ),
                 total_tokens=15,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     second_response = get_model_response(
@@ -3030,7 +3020,8 @@ def calculator(a: int, b: int) -> int:
                 ),
                 total_tokens=35,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     with patch.object(
@@ -3162,7 +3153,9 @@ async def test_streaming_span_update_captures_response_data(
 
 
 @pytest.mark.asyncio
-async def test_streaming_ttft_on_chat_span(sentry_init, test_agent, async_iterator):
+async def test_streaming_ttft_on_chat_span(
+    sentry_init, test_agent, async_iterator, server_side_event_chunks
+):
     """
     Test that time-to-first-token (TTFT) is recorded on chat spans during streaming.
 
@@ -3330,7 +3323,7 @@ async def test_conversation_id_on_all_spans(
     model = OpenAIResponsesModel(model="gpt-4", openai_client=client)
     agent = test_agent.clone(model=model)
 
-    response = get_model_response(mock_model_response)
+    response = get_model_response(mock_model_response, serialize_pydantic=True)
 
     with patch.object(
         agent.model._client._client,
@@ -3423,7 +3416,8 @@ def simple_tool(message: str) -> str:
                 ),
                 total_tokens=15,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     final_response = get_model_response(
@@ -3461,7 +3455,8 @@ def simple_tool(message: str) -> str:
                 ),
                 total_tokens=30,
             ),
-        )
+        ),
+        serialize_pydantic=True,
     )
 
     with patch.object(
@@ -3524,7 +3519,7 @@ async def test_no_conversation_id_when_not_provided(
     model = OpenAIResponsesModel(model="gpt-4", openai_client=client)
     agent = test_agent.clone(model=model)
 
-    response = get_model_response(mock_model_response)
+    response = get_model_response(mock_model_response, serialize_pydantic=True)
 
     with patch.object(
         agent.model._client._client,
diff --git a/tests/integrations/pydantic_ai/test_pydantic_ai.py b/tests/integrations/pydantic_ai/test_pydantic_ai.py
index 52f724a4dc..f0ddc6c4ed 100644
--- a/tests/integrations/pydantic_ai/test_pydantic_ai.py
+++ b/tests/integrations/pydantic_ai/test_pydantic_ai.py
@@ -889,7 +889,7 @@ async def test_mcp_tool_execution_spans(sentry_init, capture_events):
     """
     pytest.importorskip("mcp")
 
-    from unittest.mock import AsyncMock, MagicMock
+    from unittest.mock import MagicMock
     from pydantic_ai.mcp import MCPServerStdio
     from pydantic_ai import Agent
     from pydantic_ai.toolsets.combined import CombinedToolset
@@ -1379,7 +1379,6 @@ async def test_agent_data_from_scope(sentry_init, capture_events):
     """
     Test that agent data can be retrieved from Sentry scope when not passed directly.
     """
-    import sentry_sdk
 
     agent = Agent(
         "test",
@@ -1753,7 +1752,7 @@ async def test_message_parts_with_tool_return(sentry_init, capture_events):
     """
     Test that ToolReturnPart messages are handled correctly.
     """
-    from pydantic_ai import Agent, messages
+    from pydantic_ai import Agent
 
     agent = Agent(
         "test",
@@ -2509,7 +2508,6 @@ async def test_tool_execution_without_span_context(sentry_init, capture_events):
     This tests the code path where current_span is None in _patch_tool_execution.
     """
     # Import the patching function
-    from unittest.mock import AsyncMock, MagicMock
 
     sentry_init(
         integrations=[PydanticAIIntegration()],
diff --git a/tests/integrations/stdlib/test_httplib.py b/tests/integrations/stdlib/test_httplib.py
index ad6b0688b9..cdbf6cd68c 100644
--- a/tests/integrations/stdlib/test_httplib.py
+++ b/tests/integrations/stdlib/test_httplib.py
@@ -1,6 +1,5 @@
 import os
 import datetime
-import socket
 from http.client import HTTPConnection, HTTPSConnection
 from http.server import BaseHTTPRequestHandler, HTTPServer
 from socket import SocketIO
diff --git a/tests/integrations/strawberry/test_strawberry.py b/tests/integrations/strawberry/test_strawberry.py
index ba645da257..d3174ed857 100644
--- a/tests/integrations/strawberry/test_strawberry.py
+++ b/tests/integrations/strawberry/test_strawberry.py
@@ -5,7 +5,6 @@
 pytest.importorskip("fastapi")
 pytest.importorskip("flask")
 
-from unittest import mock
 
 from fastapi import FastAPI
 from fastapi.testclient import TestClient
diff --git a/tests/profiler/test_continuous_profiler.py b/tests/profiler/test_continuous_profiler.py
index e4f5cb5e25..f0c3b5a27f 100644
--- a/tests/profiler/test_continuous_profiler.py
+++ b/tests/profiler/test_continuous_profiler.py
@@ -621,3 +621,67 @@ def test_continuous_profiler_manual_start_and_stop_noop_when_using_trace_lifecyl
     ) as mock_teardown:
         stop_profiler_func()
         mock_teardown.assert_not_called()
+
+
+@mock.patch("sentry_sdk.profiler.continuous_profiler.PROFILE_BUFFER_SECONDS", 0.01)
+def test_continuous_profiler_run_does_not_null_buffer(
+    sentry_init,
+    capture_envelopes,
+    teardown_profiling,
+):
+    """
+    Verifies that ContinuousScheduler.run() does not set self.buffer = None
+    after exiting its sampling loop.
+
+    Previously, run() would execute `self.buffer = None` after the while
+    loop exited. During rapid stop/start cycles, this could race with
+    ensure_running() which creates a new buffer: the old thread's cleanup
+    would destroy the newly-created buffer, causing the new profiler thread
+    to silently drop all samples (self.buffer is None in the sampler).
+
+    The fix uses a local buffer reference for flushing and never sets
+    self.buffer = None from run().
+    """
+    from sentry_sdk.profiler import continuous_profiler as cp
+
+    options = get_client_options(True)(
+        mode="thread", profile_session_sample_rate=1.0, lifecycle="manual"
+    )
+    sentry_init(traces_sample_rate=1.0, **options)
+    envelopes = capture_envelopes()
+    thread = threading.current_thread()
+
+    # Start and verify profiler works
+    start_profiler()
+    envelopes.clear()
+    with sentry_sdk.start_transaction(name="profiling"):
+        with sentry_sdk.start_span(op="op"):
+            time.sleep(0.1)
+    assert_single_transaction_with_profile_chunks(envelopes, thread)
+
+    # Get the scheduler and create a sentinel buffer.
+    # We'll call run() directly to verify it doesn't null out self.buffer.
+    scheduler = cp._scheduler
+    assert scheduler is not None
+
+    # Stop the profiler so the thread exits cleanly
+    stop_profiler()
+
+    # Now set up a fresh buffer and mark the scheduler as not running
+    # (simulating the state right after ensure_running() created a new buffer
+    # but the old thread hasn't done cleanup yet).
+    scheduler.reset_buffer()
+    buffer_before = scheduler.buffer
+    assert buffer_before is not None
+
+    # Simulate what happens when run() exits its while loop:
+    # self.running is already False, so the while loop exits immediately.
+    scheduler.running = False
+    scheduler.run()
+
+    # After the fix, run() should NOT have set self.buffer = None.
+    # It should only flush using a local reference.
+    assert scheduler.buffer is not None, (
+        "run() must not set self.buffer = None; "
+        "this would destroy buffers created by concurrent ensure_running() calls"
+    )
diff --git a/tests/test_ai_integration_deactivation.py b/tests/test_ai_integration_deactivation.py
index b02b64c6ee..683de2f0b2 100644
--- a/tests/test_ai_integration_deactivation.py
+++ b/tests/test_ai_integration_deactivation.py
@@ -190,7 +190,6 @@ def test_langchain_and_openai_both_explicit_both_active(
 def test_no_langchain_means_openai_and_anthropic_can_auto_enable(
     sentry_init, reset_integrations, monkeypatch
 ):
-    import sys
     import sentry_sdk.integrations
 
     old_iter = sentry_sdk.integrations.iter_default_integrations
diff --git a/tests/test_ai_monitoring.py b/tests/test_ai_monitoring.py
index 969d14658d..c9f5c5cdcd 100644
--- a/tests/test_ai_monitoring.py
+++ b/tests/test_ai_monitoring.py
@@ -1,19 +1,14 @@
-import json
-import uuid
-
 import pytest
 
 import sentry_sdk
 from sentry_sdk._types import (
     AnnotatedValue,
-    SENSITIVE_DATA_SUBSTITUTE,
     BLOB_DATA_SUBSTITUTE,
 )
 from sentry_sdk.ai.monitoring import ai_track
 from sentry_sdk.ai.utils import (
     MAX_GEN_AI_MESSAGE_BYTES,
     MAX_SINGLE_MESSAGE_CONTENT_CHARS,
-    set_data_normalized,
     truncate_and_annotate_messages,
     truncate_messages_by_size,
     _find_truncation_index,
@@ -27,7 +22,6 @@
     transform_content_part,
     transform_message_content,
 )
-from sentry_sdk.serializer import serialize
 from sentry_sdk.utils import safe_serialize
 
 
@@ -318,6 +312,105 @@ def test_single_message_truncation(self):
         assert user_msgs[0]["content"].endswith("...")
         assert len(user_msgs[0]["content"]) < len(large_content)
 
+    def test_single_message_truncation_list_content_exceeds_limit(self):
+        """Test that list-based content (e.g. pydantic-ai multimodal format) is truncated."""
+        large_text = "A" * 200_000
+
+        messages = [
+            {
+                "role": "user",
+                "content": [
+                    {"type": "text", "text": large_text},
+                ],
+            },
+        ]
+
+        result, _ = truncate_messages_by_size(messages)
+
+        text_part = result[0]["content"][0]
+        assert text_part["text"].endswith("...")
+        assert len(text_part["text"]) == MAX_SINGLE_MESSAGE_CONTENT_CHARS + 3
+
+    def test_single_message_truncation_list_content_under_limit(self):
+        """Test that small text parts are preserved when non-text parts push size over byte limit."""
+        short_text = "Hello world"
+        large_data_url = "data:image/png;base64," + "A" * 200_000
+
+        messages = [
+            {
+                "role": "user",
+                "content": [
+                    {"type": "text", "text": short_text},
+                    {"type": "image_url", "image_url": {"url": large_data_url}},
+                ],
+            },
+        ]
+
+        result, _ = truncate_messages_by_size(messages)
+
+        text_part = result[0]["content"][0]
+        assert text_part["text"] == short_text
+
+    def test_single_message_truncation_list_content_mixed_parts(self):
+        """Test truncation with mixed content types (text + non-text parts)."""
+        max_chars = 50
+        large_data_url = "data:image/png;base64," + "X" * 200_000
+
+        messages = [
+            {
+                "role": "user",
+                "content": [
+                    {"type": "text", "text": "A" * 30},
+                    {"type": "image_url", "image_url": {"url": large_data_url}},
+                    {"type": "text", "text": "B" * 30},
+                ],
+            },
+        ]
+
+        result, _ = truncate_messages_by_size(
+            messages, max_single_message_chars=max_chars
+        )
+
+        parts = result[0]["content"]
+        # First text part uses 30 chars of the 50 budget
+        assert parts[0]["text"] == "A" * 30
+        # Image part is unchanged
+        assert parts[1]["type"] == "image_url"
+        # Second text part is truncated to remaining 20 chars
+        assert parts[2]["text"] == "B" * 20 + "..."
+
+    def test_single_message_truncation_list_content_multiple_text_parts(self):
+        """Test that budget is distributed across multiple text parts."""
+        max_chars = 10
+        # Two large text parts that together exceed 128KB byte limit
+        messages = [
+            {
+                "role": "user",
+                "content": [
+                    {"type": "text", "text": "A" * 100_000},
+                    {"type": "text", "text": "B" * 100_000},
+                ],
+            },
+        ]
+
+        result, _ = truncate_messages_by_size(
+            messages, max_single_message_chars=max_chars
+        )
+
+        parts = result[0]["content"]
+        # First part is truncated to the full budget
+        assert parts[0]["text"] == "A" * 10 + "..."
+        # Second part gets truncated to 0 chars + ellipsis
+        assert parts[1]["text"] == "..."
+
+    @pytest.mark.parametrize("content", [None, 42, 3.14, True])
+    def test_single_message_truncation_non_str_non_list_content(self, content):
+        messages = [{"role": "user", "content": content}]
+
+        result, _ = truncate_messages_by_size(messages)
+
+        assert result[0]["content"] is content
+
 
 class TestTruncateAndAnnotateMessages:
     def test_only_keeps_last_message(self, sample_messages):
diff --git a/tests/test_logs.py b/tests/test_logs.py
index d9c8a79f8c..86861cfe90 100644
--- a/tests/test_logs.py
+++ b/tests/test_logs.py
@@ -9,7 +9,7 @@
 import sentry_sdk
 import sentry_sdk.logger
 from sentry_sdk import get_client
-from sentry_sdk.envelope import Envelope, Item, PayloadRef
+from sentry_sdk.envelope import Envelope
 from sentry_sdk.types import Log
 from sentry_sdk.consts import SPANDATA, VERSION
 
@@ -19,8 +19,7 @@
 
 
 def otel_attributes_to_dict(otel_attrs: "Mapping[str, Any]") -> "Mapping[str, Any]":
-    def _convert_attr(attr):
-        # type: (Mapping[str, Union[str, float, bool]]) -> Any
+    def _convert_attr(attr: "Mapping[str, Union[str, float, bool]]") -> "Any":
         if attr["type"] == "boolean":
             return attr["value"]
         if attr["type"] == "double":
@@ -784,3 +783,39 @@ def before_send_log(log, _):
     )
 
     get_client().flush()
+
+
+@minimum_python_37
+@pytest.mark.timeout(5)
+def test_reentrant_add_does_not_deadlock(sentry_init, capture_envelopes):
+    """Adding to the batcher from within a flush must not deadlock.
+
+    This covers the scenario where GC emits a ResourceWarning during
+    _add_to_envelope (or _flush_event.wait/set), and the warning is
+    routed through the logging integration back into batcher.add().
+    See https://github.com/getsentry/sentry-python/issues/5681
+    """
+    sentry_init(enable_logs=True)
+    capture_envelopes()
+
+    client = sentry_sdk.get_client()
+    batcher = client.log_batcher
+
+    reentrant_add_called = False
+    original_add_to_envelope = batcher._add_to_envelope
+
+    def add_to_envelope_with_reentrant_add(envelope):
+        nonlocal reentrant_add_called
+        # Simulate a GC warning routing back into add() during flush
+        batcher.add({"fake": "log"})
+        reentrant_add_called = True
+        original_add_to_envelope(envelope)
+
+    batcher._add_to_envelope = add_to_envelope_with_reentrant_add
+
+    sentry_sdk.logger.warning("test log")
+    client.flush()
+
+    assert reentrant_add_called
+    # If the re-entrancy guard didn't work, this test would hang and it'd
+    # eventually be timed out by pytest-timeout
diff --git a/tests/test_metrics.py b/tests/test_metrics.py
index ada50d645d..3ad3f6042d 100644
--- a/tests/test_metrics.py
+++ b/tests/test_metrics.py
@@ -1,9 +1,6 @@
-import json
-import sys
-from typing import List, Any, Mapping
+from typing import List
 from unittest import mock
 
-import pytest
 
 import sentry_sdk
 from sentry_sdk import get_client
diff --git a/tests/test_shadowed_module.py b/tests/test_shadowed_module.py
index 10d86f285b..8beb93dc36 100644
--- a/tests/test_shadowed_module.py
+++ b/tests/test_shadowed_module.py
@@ -7,7 +7,6 @@
 import pytest
 
 from sentry_sdk import integrations
-from sentry_sdk.integrations import _DEFAULT_INTEGRATIONS, Integration
 
 
 def pytest_generate_tests(metafunc):
diff --git a/tests/test_spotlight.py b/tests/test_spotlight.py
index f554ff7c5b..1e304e5e54 100644
--- a/tests/test_spotlight.py
+++ b/tests/test_spotlight.py
@@ -1,7 +1,6 @@
 import pytest
 
 import sentry_sdk
-from sentry_sdk.spotlight import DEFAULT_SPOTLIGHT_URL
 
 
 @pytest.fixture
diff --git a/tests/tracing/test_decorator.py b/tests/tracing/test_decorator.py
index 70dc186ba0..15432f5862 100644
--- a/tests/tracing/test_decorator.py
+++ b/tests/tracing/test_decorator.py
@@ -1,5 +1,4 @@
 import inspect
-import sys
 from unittest import mock
 
 import pytest
diff --git a/tests/tracing/test_deprecated.py b/tests/tracing/test_deprecated.py
index ac3b8d7463..f030a465ff 100644
--- a/tests/tracing/test_deprecated.py
+++ b/tests/tracing/test_deprecated.py
@@ -4,9 +4,6 @@
 
 import sentry_sdk
 import sentry_sdk.tracing
-from sentry_sdk import start_span
-
-from sentry_sdk.tracing import Span
 
 
 @pytest.mark.parametrize(
diff --git a/tests/tracing/test_sampling.py b/tests/tracing/test_sampling.py
index c0f307ecf7..93c1106c99 100644
--- a/tests/tracing/test_sampling.py
+++ b/tests/tracing/test_sampling.py
@@ -5,7 +5,7 @@
 import pytest
 
 import sentry_sdk
-from sentry_sdk import start_span, start_transaction, capture_exception, continue_trace
+from sentry_sdk import start_span, start_transaction, capture_exception
 from sentry_sdk.tracing_utils import Baggage
 from sentry_sdk.utils import logger
 
diff --git a/tests/tracing/test_span_streaming.py b/tests/tracing/test_span_streaming.py
index eb9446c1ee..21c3d26ea3 100644
--- a/tests/tracing/test_span_streaming.py
+++ b/tests/tracing/test_span_streaming.py
@@ -1,12 +1,14 @@
 import asyncio
 import re
 import sys
+import time
 from typing import Any
 from unittest import mock
 
 import pytest
 
 import sentry_sdk
+from sentry_sdk.profiler.continuous_profiler import get_profiler_id
 from sentry_sdk.traces import NoOpStreamedSpan, SpanStatus, StreamedSpan
 
 minimum_python_38 = pytest.mark.skipif(
@@ -639,6 +641,59 @@ def test_continue_trace_unsampled(sentry_init, capture_envelopes):
     assert len(spans) == 0
 
 
+def test_unsampled_spans_produce_client_report(
+    sentry_init, capture_envelopes, capture_record_lost_event_calls
+):
+    sentry_init(
+        traces_sample_rate=0.0,
+        _experiments={"trace_lifecycle": "stream"},
+    )
+
+    envelopes = capture_envelopes()
+    record_lost_event_calls = capture_record_lost_event_calls()
+
+    with sentry_sdk.traces.start_span(name="segment"):
+        with sentry_sdk.traces.start_span(name="child1"):
+            pass
+        with sentry_sdk.traces.start_span(name="child2"):
+            pass
+
+    sentry_sdk.get_client().flush()
+
+    spans = envelopes_to_spans(envelopes)
+    assert not spans
+
+    assert record_lost_event_calls == [
+        ("sample_rate", "span", None, 1),
+        ("sample_rate", "span", None, 1),
+        ("sample_rate", "span", None, 1),
+    ]
+
+
+def test_no_client_reports_if_tracing_is_off(
+    sentry_init, capture_envelopes, capture_record_lost_event_calls
+):
+    sentry_init(
+        traces_sample_rate=None,
+        _experiments={"trace_lifecycle": "stream"},
+    )
+
+    envelopes = capture_envelopes()
+    record_lost_event_calls = capture_record_lost_event_calls()
+
+    with sentry_sdk.traces.start_span(name="segment"):
+        with sentry_sdk.traces.start_span(name="child1"):
+            pass
+        with sentry_sdk.traces.start_span(name="child2"):
+            pass
+
+    sentry_sdk.get_client().flush()
+
+    spans = envelopes_to_spans(envelopes)
+    assert not spans
+    assert not record_lost_event_calls
+
+
 def test_continue_trace_no_sample_rand(sentry_init, capture_envelopes):
     sentry_init(
         # parent sampling decision takes precedence over traces_sample_rate
@@ -678,6 +733,67 @@ def test_continue_trace_no_sample_rand(sentry_init, capture_envelopes):
     assert segment["trace_id"] == trace_id
 
 
+def test_outgoing_traceparent_and_baggage(sentry_init, capture_envelopes):
+    sentry_init(
+        traces_sample_rate=1.0,
+        _experiments={"trace_lifecycle": "stream"},
+    )
+
+    sentry_sdk.traces.new_trace()
+
+    with sentry_sdk.traces.start_span(name="span") as span:
+        assert span.sampled is True
+
+        trace_id = span.trace_id
+        span_id = span.span_id
+
+        traceparent = sentry_sdk.get_traceparent()
+        assert traceparent == f"{trace_id}-{span_id}-1"
+
+        baggage = sentry_sdk.get_baggage()
+        baggage_items = dict(tuple(item.split("=")) for item in baggage.split(","))
+        assert "sentry-trace_id" in baggage_items
+        assert baggage_items["sentry-trace_id"] == trace_id
+        assert "sentry-sampled" in baggage_items
+        assert baggage_items["sentry-sampled"] == "true"
+
+
+def test_outgoing_traceparent_and_baggage_when_noop_span_is_active(
+    sentry_init, capture_envelopes
+):
+    sentry_init(
+        traces_sample_rate=1.0,
+        _experiments={
+            "trace_lifecycle": "stream",
+            "ignore_spans": ["ignored"],
+        },
+    )
+
+    sentry_sdk.traces.new_trace()
+
+    propagation_context = (
+        sentry_sdk.get_current_scope().get_active_propagation_context()
+    )
+    propagation_trace_id = propagation_context.trace_id
+    propagation_span_id = propagation_context.span_id
+
+    with sentry_sdk.traces.start_span(name="ignored") as span:
+        assert span.sampled is False
+
+        noop_trace_id = span.trace_id
+        noop_span_id = span.span_id
+
+        traceparent = sentry_sdk.get_traceparent()
+        assert traceparent != f"{noop_trace_id}-{noop_span_id}"
+        assert traceparent == f"{propagation_trace_id}-{propagation_span_id}"
+
+        baggage = sentry_sdk.get_baggage()
+        baggage_items = dict(tuple(item.split("=")) for item in baggage.split(","))
+        assert "sentry-trace_id" in baggage_items
+        assert baggage_items["sentry-trace_id"] != noop_trace_id
+        assert baggage_items["sentry-trace_id"] == propagation_trace_id
+
+
 def test_trace_decorator(sentry_init, capture_envelopes):
     sentry_init(
         traces_sample_rate=1.0,
@@ -880,6 +996,23 @@ def test_set_span_status_on_error(sentry_init, capture_envelopes):
     assert span["status"] == "error"
 
 
+def test_set_span_status_on_ignored_span(sentry_init, capture_envelopes):
+    sentry_init(
+        traces_sample_rate=1.0,
+        _experiments={"trace_lifecycle": "stream", "ignore_spans": ["ignored"]},
+    )
+
+    events = capture_envelopes()
+
+    with sentry_sdk.traces.start_span(name="ignored") as span:
+        span.status = "error"
+
+    sentry_sdk.get_client().flush()
+    spans = envelopes_to_spans(events)
+
+    assert len(spans) == 0
+
+
 @pytest.mark.parametrize(
     ("ignore_spans", "name", "attributes", "ignored"),
     [
@@ -1244,6 +1377,132 @@ def test_ignore_spans_reparenting(sentry_init, capture_envelopes):
     assert span5["parent_span_id"] == span3["span_id"]
 
 
+def test_ignored_spans_produce_client_report(
+    sentry_init, capture_envelopes, capture_record_lost_event_calls
+):
+    sentry_init(
+        traces_sample_rate=1.0,
+        _experiments={"trace_lifecycle": "stream", "ignore_spans": ["ignored"]},
+    )
+
+    envelopes = capture_envelopes()
+    record_lost_event_calls = capture_record_lost_event_calls()
+
+    with sentry_sdk.traces.start_span(name="ignored"):
+        with sentry_sdk.traces.start_span(name="span1"):
+            pass
+        with sentry_sdk.traces.start_span(name="span2"):
+            pass
+
+    sentry_sdk.get_client().flush()
+
+    spans = envelopes_to_spans(envelopes)
+    assert not spans
+
+    # All three spans will be ignored since the segment is ignored
+    assert record_lost_event_calls == [
+        ("ignored", "span", None, 1),
+        ("ignored", "span", None, 1),
+        ("ignored", "span", None, 1),
+    ]
+
+
+@mock.patch("sentry_sdk.profiler.continuous_profiler.DEFAULT_SAMPLING_FREQUENCY", 21)
+def test_segment_span_has_profiler_id(
+    sentry_init, capture_envelopes, teardown_profiling
+):
+    sentry_init(
+        traces_sample_rate=1.0,
+        profile_lifecycle="trace",
+        profiler_mode="thread",
+        profile_session_sample_rate=1.0,
+        _experiments={
+            "trace_lifecycle": "stream",
+            "continuous_profiling_auto_start": True,
+        },
+    )
+    envelopes = capture_envelopes()
+
+    with sentry_sdk.traces.start_span(name="profiled segment"):
+        time.sleep(0.1)
+
+    sentry_sdk.get_client().flush()
+    time.sleep(0.3)  # wait for profiler to flush
+
+    spans = envelopes_to_spans(envelopes)
+    assert len(spans) == 1
+    assert "sentry.profiler_id" in spans[0]["attributes"]
+
+    profile_chunks = [
+        item
+        for envelope in envelopes
+        for item in envelope.items
+        if item.type == "profile_chunk"
+    ]
+    assert len(profile_chunks) > 0
+
+
+def test_segment_span_no_profiler_id_when_unsampled(
+    sentry_init, capture_envelopes, teardown_profiling
+):
+    sentry_init(
+        traces_sample_rate=1.0,
+        profile_lifecycle="trace",
+        profiler_mode="thread",
+        profile_session_sample_rate=0.0,
+        _experiments={
+            "trace_lifecycle": "stream",
+            "continuous_profiling_auto_start": True,
+        },
+    )
+    envelopes = capture_envelopes()
+
+    with sentry_sdk.traces.start_span(name="segment"):
+        time.sleep(0.05)
+
+    sentry_sdk.get_client().flush()
+    time.sleep(0.2)
+
+    spans = envelopes_to_spans(envelopes)
+    assert len(spans) == 1
+    assert "sentry.profiler_id" not in spans[0]["attributes"]
+
+    profile_chunks = [
+        item
+        for envelope in envelopes
+        for item in envelope.items
+        if item.type == "profile_chunk"
+    ]
+    assert len(profile_chunks) == 0
+
+
+@mock.patch("sentry_sdk.profiler.continuous_profiler.DEFAULT_SAMPLING_FREQUENCY", 21)
+def test_profile_stops_when_segment_ends(
+    sentry_init, capture_envelopes, teardown_profiling
+):
+    sentry_init(
+        traces_sample_rate=1.0,
+        profile_lifecycle="trace",
+        profiler_mode="thread",
+        profile_session_sample_rate=1.0,
+        _experiments={
+            "trace_lifecycle": "stream",
+            "continuous_profiling_auto_start": True,
+        },
+    )
+    capture_envelopes()
+
+    with sentry_sdk.traces.start_span(name="segment") as span:
+        time.sleep(0.1)
+        assert span._continuous_profile is not None
+        assert span._continuous_profile.active is True
+
+    assert span._continuous_profile.active is False
+
+    time.sleep(0.3)
+    assert get_profiler_id() is None, "profiler should have stopped"
+
+
 def test_transport_format(sentry_init, capture_envelopes):
     sentry_init(
         server_name="test-server",
diff --git a/tox.ini b/tox.ini
index 3f8ae2b530..ec84cab117 100644
--- a/tox.ini
+++ b/tox.ini
@@ -65,32 +65,32 @@ envlist =
     {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.4.1
     {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v1.0
     {py3.10,py3.12,py3.13}-fastmcp-v2.14.5
-    {py3.10,py3.12,py3.13}-fastmcp-v3.1.0
+    {py3.10,py3.12,py3.13}-fastmcp-v3.1.1
 
 
     # ~~~ Agents ~~~
     {py3.10,py3.11,py3.12}-openai_agents-v0.0.19
     {py3.10,py3.12,py3.13}-openai_agents-v0.4.2
     {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.8.4
-    {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.11.1
+    {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.12.3
 
     {py3.10,py3.12,py3.13}-pydantic_ai-v1.0.18
     {py3.10,py3.12,py3.13}-pydantic_ai-v1.22.0
     {py3.10,py3.12,py3.13}-pydantic_ai-v1.44.0
-    {py3.10,py3.13,py3.14}-pydantic_ai-v1.67.0
+    {py3.10,py3.13,py3.14}-pydantic_ai-v1.68.0
 
 
     # ~~~ AI Workflow ~~~
     {py3.9,py3.11,py3.12}-langchain-base-v0.1.20
     {py3.9,py3.12,py3.13}-langchain-base-v0.3.28
-    {py3.10,py3.13,py3.14}-langchain-base-v1.2.10
+    {py3.10,py3.13,py3.14}-langchain-base-v1.2.12
 
     {py3.9,py3.11,py3.12}-langchain-notiktoken-v0.1.20
     {py3.9,py3.12,py3.13}-langchain-notiktoken-v0.3.28
-    {py3.10,py3.13,py3.14}-langchain-notiktoken-v1.2.10
+    {py3.10,py3.13,py3.14}-langchain-notiktoken-v1.2.12
 
     {py3.9,py3.13,py3.14}-langgraph-v0.6.11
-    {py3.10,py3.12,py3.13}-langgraph-v1.0.10
+    {py3.10,py3.12,py3.13}-langgraph-v1.1.2
 
 
     # ~~~ AI ~~~
@@ -105,33 +105,33 @@ envlist =
     {py3.9,py3.13,py3.14}-cohere-v5.20.7
 
     {py3.9,py3.12,py3.13}-google_genai-v1.29.0
-    {py3.9,py3.12,py3.13}-google_genai-v1.41.0
-    {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.53.0
-    {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.66.0
+    {py3.9,py3.12,py3.13}-google_genai-v1.42.0
+    {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.55.0
+    {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.67.0
 
     {py3.8,py3.10,py3.11}-huggingface_hub-v0.24.7
     {py3.8,py3.12,py3.13}-huggingface_hub-v0.36.2
-    {py3.9,py3.13,py3.14,py3.14t}-huggingface_hub-v1.6.0
+    {py3.9,py3.13,py3.14,py3.14t}-huggingface_hub-v1.7.1
 
     {py3.9,py3.12,py3.13}-litellm-v1.77.7
     {py3.9,py3.12,py3.13}-litellm-v1.79.3
     {py3.9,py3.12,py3.13}-litellm-v1.81.16
-    {py3.9,py3.12,py3.13}-litellm-v1.82.0
+    {py3.9,py3.12,py3.13}-litellm-v1.82.2
 
     {py3.8,py3.11,py3.12}-openai-base-v1.0.1
     {py3.8,py3.12,py3.13}-openai-base-v1.109.1
-    {py3.9,py3.13,py3.14,py3.14t}-openai-base-v2.26.0
+    {py3.9,py3.13,py3.14,py3.14t}-openai-base-v2.28.0
 
     {py3.8,py3.11,py3.12}-openai-notiktoken-v1.0.1
     {py3.8,py3.12,py3.13}-openai-notiktoken-v1.109.1
-    {py3.9,py3.13,py3.14,py3.14t}-openai-notiktoken-v2.26.0
+    {py3.9,py3.13,py3.14,py3.14t}-openai-notiktoken-v2.28.0
 
 
     # ~~~ Cloud ~~~
     {py3.6,py3.7}-boto3-v1.12.49
     {py3.6,py3.9,py3.10}-boto3-v1.21.46
     {py3.7,py3.11,py3.12}-boto3-v1.33.13
-    {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.42.63
+    {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.42.68
 
     {py3.6,py3.7,py3.8}-chalice-v1.16.0
     {py3.9,py3.12,py3.13}-chalice-v1.32.0
@@ -173,7 +173,7 @@ envlist =
     {py3.9,py3.13,py3.14,py3.14t}-openfeature-v0.8.4
 
     {py3.7,py3.13,py3.14}-statsig-v0.55.3
-    {py3.7,py3.13,py3.14}-statsig-v0.70.5
+    {py3.7,py3.13,py3.14}-statsig-v0.71.6
 
     {py3.8,py3.12,py3.13}-unleash-v6.0.1
     {py3.8,py3.12,py3.13}-unleash-v6.6.0
@@ -191,7 +191,7 @@ envlist =
     {py3.8,py3.12,py3.13}-graphene-v3.4.3
 
     {py3.8,py3.10,py3.11}-strawberry-v0.209.8
-    {py3.10,py3.13,py3.14,py3.14t}-strawberry-v0.311.0
+    {py3.10,py3.13,py3.14,py3.14t}-strawberry-v0.311.1
 
 
     # ~~~ Network ~~~
@@ -283,8 +283,7 @@ envlist =
 
     {py3.6}-pyramid-v1.8.6
     {py3.6,py3.8,py3.9}-pyramid-v1.10.8
-    {py3.6,py3.10,py3.11}-pyramid-v2.0.2
-    {py3.10,py3.13,py3.14}-pyramid-v2.1a1
+    {py3.10,py3.13,py3.14}-pyramid-v2.1
 
     {py3.7,py3.9,py3.10}-quart-v0.16.3
     {py3.9,py3.13,py3.14,py3.14t}-quart-v0.20.0
@@ -298,7 +297,7 @@ envlist =
     {py3.8,py3.10,py3.11}-starlite-v1.51.16
 
     {py3.6,py3.7,py3.8}-tornado-v6.0.4
-    {py3.9,py3.12,py3.13}-tornado-v6.5.4
+    {py3.9,py3.12,py3.13}-tornado-v6.5.5
 
 
     # ~~~ Misc ~~~
@@ -396,7 +395,7 @@ deps =
     fastmcp-v0.4.1: fastmcp==0.4.1
     fastmcp-v1.0: fastmcp==1.0
     fastmcp-v2.14.5: fastmcp==2.14.5
-    fastmcp-v3.1.0: fastmcp==3.1.0
+    fastmcp-v3.1.1: fastmcp==3.1.1
     fastmcp: pytest-asyncio
 
 
@@ -404,40 +403,40 @@ deps =
     openai_agents-v0.0.19: openai-agents==0.0.19
     openai_agents-v0.4.2: openai-agents==0.4.2
     openai_agents-v0.8.4: openai-agents==0.8.4
-    openai_agents-v0.11.1: openai-agents==0.11.1
+    openai_agents-v0.12.3: openai-agents==0.12.3
     openai_agents: pytest-asyncio
 
     pydantic_ai-v1.0.18: pydantic-ai==1.0.18
     pydantic_ai-v1.22.0: pydantic-ai==1.22.0
     pydantic_ai-v1.44.0: pydantic-ai==1.44.0
-    pydantic_ai-v1.67.0: pydantic-ai==1.67.0
+    pydantic_ai-v1.68.0: pydantic-ai==1.68.0
     pydantic_ai: pytest-asyncio
 
 
     # ~~~ AI Workflow ~~~
     langchain-base-v0.1.20: langchain==0.1.20
     langchain-base-v0.3.28: langchain==0.3.28
-    langchain-base-v1.2.10: langchain==1.2.10
+    langchain-base-v1.2.12: langchain==1.2.12
     langchain-base: pytest-asyncio
     langchain-base: openai
     langchain-base: tiktoken
     langchain-base: langchain-openai
     langchain-base-v0.3.28: langchain-community
-    langchain-base-v1.2.10: langchain-community
-    langchain-base-v1.2.10: langchain-classic
+    langchain-base-v1.2.12: langchain-community
+    langchain-base-v1.2.12: langchain-classic
 
     langchain-notiktoken-v0.1.20: langchain==0.1.20
     langchain-notiktoken-v0.3.28: langchain==0.3.28
-    langchain-notiktoken-v1.2.10: langchain==1.2.10
+    langchain-notiktoken-v1.2.12: langchain==1.2.12
     langchain-notiktoken: pytest-asyncio
     langchain-notiktoken: openai
     langchain-notiktoken: langchain-openai
     langchain-notiktoken-v0.3.28: langchain-community
-    langchain-notiktoken-v1.2.10: langchain-community
-    langchain-notiktoken-v1.2.10: langchain-classic
+    langchain-notiktoken-v1.2.12: langchain-community
+    langchain-notiktoken-v1.2.12: langchain-classic
 
     langgraph-v0.6.11: langgraph==0.6.11
-    langgraph-v1.0.10: langgraph==1.0.10
+    langgraph-v1.1.2: langgraph==1.1.2
 
 
     # ~~~ AI ~~~
@@ -455,32 +454,32 @@ deps =
     cohere-v5.20.7: cohere==5.20.7
 
     google_genai-v1.29.0: google-genai==1.29.0
-    google_genai-v1.41.0: google-genai==1.41.0
-    google_genai-v1.53.0: google-genai==1.53.0
-    google_genai-v1.66.0: google-genai==1.66.0
+    google_genai-v1.42.0: google-genai==1.42.0
+    google_genai-v1.55.0: google-genai==1.55.0
+    google_genai-v1.67.0: google-genai==1.67.0
     google_genai: pytest-asyncio
 
     huggingface_hub-v0.24.7: huggingface_hub==0.24.7
     huggingface_hub-v0.36.2: huggingface_hub==0.36.2
-    huggingface_hub-v1.6.0: huggingface_hub==1.6.0
+    huggingface_hub-v1.7.1: huggingface_hub==1.7.1
     huggingface_hub: responses
     huggingface_hub: pytest-httpx
 
     litellm-v1.77.7: litellm==1.77.7
     litellm-v1.79.3: litellm==1.79.3
     litellm-v1.81.16: litellm==1.81.16
-    litellm-v1.82.0: litellm==1.82.0
+    litellm-v1.82.2: litellm==1.82.2
 
     openai-base-v1.0.1: openai==1.0.1
     openai-base-v1.109.1: openai==1.109.1
-    openai-base-v2.26.0: openai==2.26.0
+    openai-base-v2.28.0: openai==2.28.0
     openai-base: pytest-asyncio
     openai-base: tiktoken
     openai-base-v1.0.1: httpx<0.28
 
     openai-notiktoken-v1.0.1: openai==1.0.1
     openai-notiktoken-v1.109.1: openai==1.109.1
-    openai-notiktoken-v2.26.0: openai==2.26.0
+    openai-notiktoken-v2.28.0: openai==2.28.0
     openai-notiktoken: pytest-asyncio
     openai-notiktoken-v1.0.1: httpx<0.28
 
@@ -489,7 +488,7 @@ deps =
     boto3-v1.12.49: boto3==1.12.49
     boto3-v1.21.46: boto3==1.21.46
     boto3-v1.33.13: boto3==1.33.13
-    boto3-v1.42.63: boto3==1.42.63
+    boto3-v1.42.68: boto3==1.42.68
     {py3.7,py3.8}-boto3: urllib3<2.0.0
 
     chalice-v1.16.0: chalice==1.16.0
@@ -541,7 +540,7 @@ deps =
     openfeature-v0.8.4: openfeature-sdk==0.8.4
 
     statsig-v0.55.3: statsig==0.55.3
-    statsig-v0.70.5: statsig==0.70.5
+    statsig-v0.71.6: statsig==0.71.6
     statsig: typing_extensions
 
     unleash-v6.0.1: UnleashClient==6.0.1
@@ -568,7 +567,7 @@ deps =
     {py3.6}-graphene: aiocontextvars
 
     strawberry-v0.209.8: strawberry-graphql[fastapi,flask]==0.209.8
-    strawberry-v0.311.0: strawberry-graphql[fastapi,flask]==0.311.0
+    strawberry-v0.311.1: strawberry-graphql[fastapi,flask]==0.311.1
     strawberry: httpx
     strawberry-v0.209.8: pydantic<2.11
 
@@ -738,8 +737,7 @@ deps =
 
     pyramid-v1.8.6: pyramid==1.8.6
     pyramid-v1.10.8: pyramid==1.10.8
-    pyramid-v2.0.2: pyramid==2.0.2
-    pyramid-v2.1a1: pyramid==2.1a1
+    pyramid-v2.1: pyramid==2.1
     pyramid: werkzeug<2.1.0
 
     quart-v0.16.3: quart==0.16.3
@@ -775,7 +773,7 @@ deps =
     starlite: httpx<0.28
 
     tornado-v6.0.4: tornado==6.0.4
-    tornado-v6.5.4: tornado==6.5.4
+    tornado-v6.5.5: tornado==6.5.5
     tornado: pytest
     tornado-v6.0.4: pytest<8.2
     {py3.6}-tornado: aiocontextvars