diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 9ad1e9b66d..7694a417dc 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -24,7 +24,7 @@ jobs:
     timeout-minutes: 10
 
     steps:
-      - uses: actions/checkout@v5.0.0
+      - uses: actions/checkout@v6.0.0
       - uses: actions/setup-python@v6
         with:
           python-version: 3.14
@@ -39,7 +39,7 @@ jobs:
     timeout-minutes: 10
 
     steps:
-      - uses: actions/checkout@v5.0.0
+      - uses: actions/checkout@v6.0.0
       - uses: actions/setup-python@v6
         with:
           python-version: 3.12
@@ -70,7 +70,7 @@ jobs:
     timeout-minutes: 10
 
     steps:
-      - uses: actions/checkout@v5.0.0
+      - uses: actions/checkout@v6.0.0
       - uses: actions/setup-python@v6
         with:
           python-version: 3.12
diff --git a/.github/workflows/codeql-analysis.yml b/.github/workflows/codeql-analysis.yml
index de0b8217da..1771fff811 100644
--- a/.github/workflows/codeql-analysis.yml
+++ b/.github/workflows/codeql-analysis.yml
@@ -48,7 +48,7 @@ jobs:
 
     steps:
     - name: Checkout repository
-      uses: actions/checkout@v5.0.0
+      uses: actions/checkout@v6.0.0
 
     # Initializes the CodeQL tools for scanning.
     - name: Initialize CodeQL
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index 68aeebf2b7..00465c16c9 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -20,11 +20,11 @@ jobs:
     steps:
       - name: Get auth token
         id: token
-        uses: actions/create-github-app-token@67018539274d69449ef7c02e8e71183d1719ab42 # v2.1.4
+        uses: actions/create-github-app-token@7e473efe3cb98aa54f8d4bac15400b15fad77d94 # v2.2.0
         with:
           app-id: ${{ vars.SENTRY_RELEASE_BOT_CLIENT_ID }}
           private-key: ${{ secrets.SENTRY_RELEASE_BOT_PRIVATE_KEY }}
-      - uses: actions/checkout@v5.0.0
+      - uses: actions/checkout@v6.0.0
         with:
           token: ${{ steps.token.outputs.token }}
           fetch-depth: 0
diff --git a/.github/workflows/test-integrations-ai.yml b/.github/workflows/test-integrations-ai.yml
index b5a09634db..de25fb3e84 100644
--- a/.github/workflows/test-integrations-ai.yml
+++ b/.github/workflows/test-integrations-ai.yml
@@ -29,7 +29,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.8","3.9","3.10","3.11","3.12","3.13","3.14"]
+        python-version: ["3.8","3.9","3.10","3.11","3.12","3.13","3.14","3.14t"]
         # python3.6 reached EOL and is no longer being supported on
         # new versions of hosted runners on Github Actions
         # ubuntu-20.04 is the last version that supported python3.6
@@ -38,7 +38,7 @@ jobs:
     # Use Docker container only for Python 3.6
     container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }}
     steps:
-      - uses: actions/checkout@v5.0.0
+      - uses: actions/checkout@v6.0.0
       - uses: actions/setup-python@v6
         if: ${{ matrix.python-version != '3.6' }}
         with:
@@ -86,6 +86,10 @@ jobs:
         run: |
           set -x # print commands that are executed
           ./scripts/runtox.sh "py${{ matrix.python-version }}-mcp"
+      - name: Test fastmcp
+        run: |
+          set -x # print commands that are executed
+          ./scripts/runtox.sh "py${{ matrix.python-version }}-fastmcp"
       - name: Test openai-base
         run: |
           set -x # print commands that are executed
diff --git a/.github/workflows/test-integrations-cloud.yml b/.github/workflows/test-integrations-cloud.yml
index 67d5da7a55..6d95aef350 100644
--- a/.github/workflows/test-integrations-cloud.yml
+++ b/.github/workflows/test-integrations-cloud.yml
@@ -29,7 +29,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.6","3.7","3.8","3.9","3.10","3.11","3.12","3.13","3.14"]
+        python-version: ["3.6","3.7","3.8","3.9","3.10","3.11","3.12","3.13","3.14","3.14t"]
         # python3.6 reached EOL and is no longer being supported on
         # new versions of hosted runners on Github Actions
         # ubuntu-20.04 is the last version that supported python3.6
@@ -42,7 +42,7 @@ jobs:
     # Use Docker container only for Python 3.6
     container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }}
     steps:
-      - uses: actions/checkout@v5.0.0
+      - uses: actions/checkout@v6.0.0
       - uses: actions/setup-python@v6
         if: ${{ matrix.python-version != '3.6' }}
         with:
diff --git a/.github/workflows/test-integrations-common.yml b/.github/workflows/test-integrations-common.yml
index 5ac65c327f..716d21c695 100644
--- a/.github/workflows/test-integrations-common.yml
+++ b/.github/workflows/test-integrations-common.yml
@@ -38,7 +38,7 @@ jobs:
     # Use Docker container only for Python 3.6
     container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }}
     steps:
-      - uses: actions/checkout@v5.0.0
+      - uses: actions/checkout@v6.0.0
       - uses: actions/setup-python@v6
         if: ${{ matrix.python-version != '3.6' }}
         with:
diff --git a/.github/workflows/test-integrations-dbs.yml b/.github/workflows/test-integrations-dbs.yml
index 7d55c10230..cdea7916bf 100644
--- a/.github/workflows/test-integrations-dbs.yml
+++ b/.github/workflows/test-integrations-dbs.yml
@@ -29,7 +29,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.6","3.7","3.8","3.9","3.10","3.11","3.12","3.13"]
+        python-version: ["3.6","3.7","3.8","3.9","3.10","3.11","3.12","3.13","3.14","3.14t"]
         # python3.6 reached EOL and is no longer being supported on
         # new versions of hosted runners on Github Actions
         # ubuntu-20.04 is the last version that supported python3.6
@@ -56,7 +56,7 @@ jobs:
     # Use Docker container only for Python 3.6
     container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }}
     steps:
-      - uses: actions/checkout@v5.0.0
+      - uses: actions/checkout@v6.0.0
       - uses: actions/setup-python@v6
         if: ${{ matrix.python-version != '3.6' }}
         with:
diff --git a/.github/workflows/test-integrations-flags.yml b/.github/workflows/test-integrations-flags.yml
index 4b3b6278ef..b13ac20d6f 100644
--- a/.github/workflows/test-integrations-flags.yml
+++ b/.github/workflows/test-integrations-flags.yml
@@ -29,7 +29,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.7","3.8","3.9","3.12","3.13","3.14"]
+        python-version: ["3.7","3.8","3.9","3.12","3.13","3.14","3.14t"]
         # python3.6 reached EOL and is no longer being supported on
         # new versions of hosted runners on Github Actions
         # ubuntu-20.04 is the last version that supported python3.6
@@ -38,7 +38,7 @@ jobs:
     # Use Docker container only for Python 3.6
     container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }}
     steps:
-      - uses: actions/checkout@v5.0.0
+      - uses: actions/checkout@v6.0.0
       - uses: actions/setup-python@v6
         if: ${{ matrix.python-version != '3.6' }}
         with:
diff --git a/.github/workflows/test-integrations-gevent.yml b/.github/workflows/test-integrations-gevent.yml
index 998a3c0974..5a607a700c 100644
--- a/.github/workflows/test-integrations-gevent.yml
+++ b/.github/workflows/test-integrations-gevent.yml
@@ -38,7 +38,7 @@ jobs:
     # Use Docker container only for Python 3.6
     container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }}
     steps:
-      - uses: actions/checkout@v5.0.0
+      - uses: actions/checkout@v6.0.0
       - uses: actions/setup-python@v6
         if: ${{ matrix.python-version != '3.6' }}
         with:
diff --git a/.github/workflows/test-integrations-graphql.yml b/.github/workflows/test-integrations-graphql.yml
index d11bbf4aaa..6bfb57209f 100644
--- a/.github/workflows/test-integrations-graphql.yml
+++ b/.github/workflows/test-integrations-graphql.yml
@@ -29,7 +29,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.6","3.8","3.9","3.10","3.11","3.12","3.13","3.14"]
+        python-version: ["3.6","3.8","3.9","3.10","3.11","3.12","3.13","3.14","3.14t"]
         # python3.6 reached EOL and is no longer being supported on
         # new versions of hosted runners on Github Actions
         # ubuntu-20.04 is the last version that supported python3.6
@@ -38,7 +38,7 @@ jobs:
     # Use Docker container only for Python 3.6
     container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }}
     steps:
-      - uses: actions/checkout@v5.0.0
+      - uses: actions/checkout@v6.0.0
       - uses: actions/setup-python@v6
         if: ${{ matrix.python-version != '3.6' }}
         with:
diff --git a/.github/workflows/test-integrations-misc.yml b/.github/workflows/test-integrations-misc.yml
index 5e10dc8b6c..606429dcfd 100644
--- a/.github/workflows/test-integrations-misc.yml
+++ b/.github/workflows/test-integrations-misc.yml
@@ -38,7 +38,7 @@ jobs:
     # Use Docker container only for Python 3.6
     container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }}
     steps:
-      - uses: actions/checkout@v5.0.0
+      - uses: actions/checkout@v6.0.0
       - uses: actions/setup-python@v6
         if: ${{ matrix.python-version != '3.6' }}
         with:
@@ -58,6 +58,10 @@ jobs:
         run: |
           set -x # print commands that are executed
           ./scripts/runtox.sh "py${{ matrix.python-version }}-opentelemetry"
+      - name: Test otlp
+        run: |
+          set -x # print commands that are executed
+          ./scripts/runtox.sh "py${{ matrix.python-version }}-otlp"
       - name: Test potel
         run: |
           set -x # print commands that are executed
@@ -74,6 +78,10 @@ jobs:
         run: |
           set -x # print commands that are executed
           ./scripts/runtox.sh "py${{ matrix.python-version }}-typer"
+      - name: Test integration_deactivation
+        run: |
+          set -x # print commands that are executed
+          ./scripts/runtox.sh "py${{ matrix.python-version }}-integration_deactivation"
       - name: Generate coverage XML (Python 3.6)
         if: ${{ !cancelled() && matrix.python-version == '3.6' }}
         run: |
diff --git a/.github/workflows/test-integrations-network.yml b/.github/workflows/test-integrations-network.yml
index 2e5d0024d2..78a8600ad6 100644
--- a/.github/workflows/test-integrations-network.yml
+++ b/.github/workflows/test-integrations-network.yml
@@ -29,7 +29,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.6","3.7","3.8","3.9","3.10","3.11","3.12","3.13","3.14"]
+        python-version: ["3.6","3.7","3.8","3.9","3.10","3.11","3.12","3.13","3.14","3.14t"]
         # python3.6 reached EOL and is no longer being supported on
         # new versions of hosted runners on Github Actions
         # ubuntu-20.04 is the last version that supported python3.6
@@ -38,7 +38,7 @@ jobs:
     # Use Docker container only for Python 3.6
     container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }}
     steps:
-      - uses: actions/checkout@v5.0.0
+      - uses: actions/checkout@v6.0.0
       - uses: actions/setup-python@v6
         if: ${{ matrix.python-version != '3.6' }}
         with:
diff --git a/.github/workflows/test-integrations-tasks.yml b/.github/workflows/test-integrations-tasks.yml
index d9f713177a..edc1bc4868 100644
--- a/.github/workflows/test-integrations-tasks.yml
+++ b/.github/workflows/test-integrations-tasks.yml
@@ -38,14 +38,14 @@ jobs:
     # Use Docker container only for Python 3.6
     container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }}
     steps:
-      - uses: actions/checkout@v5.0.0
+      - uses: actions/checkout@v6.0.0
       - uses: actions/setup-python@v6
         if: ${{ matrix.python-version != '3.6' }}
         with:
           python-version: ${{ matrix.python-version }}
           allow-prereleases: true
       - name: Start Redis
-        uses: supercharge/redis-github-action@1.8.0
+        uses: supercharge/redis-github-action@1.8.1
       - name: Install Java
         uses: actions/setup-java@v5
         with:
diff --git a/.github/workflows/test-integrations-web-1.yml b/.github/workflows/test-integrations-web-1.yml
index f0d79d7fa8..dca0278535 100644
--- a/.github/workflows/test-integrations-web-1.yml
+++ b/.github/workflows/test-integrations-web-1.yml
@@ -29,7 +29,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.6","3.7","3.8","3.9","3.10","3.11","3.12","3.13","3.14"]
+        python-version: ["3.6","3.7","3.8","3.9","3.10","3.11","3.12","3.13","3.14","3.14t"]
         # python3.6 reached EOL and is no longer being supported on
         # new versions of hosted runners on Github Actions
         # ubuntu-20.04 is the last version that supported python3.6
@@ -56,7 +56,7 @@ jobs:
     # Use Docker container only for Python 3.6
     container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }}
     steps:
-      - uses: actions/checkout@v5.0.0
+      - uses: actions/checkout@v6.0.0
       - uses: actions/setup-python@v6
         if: ${{ matrix.python-version != '3.6' }}
         with:
diff --git a/.github/workflows/test-integrations-web-2.yml b/.github/workflows/test-integrations-web-2.yml
index 8907c9a29d..cfe3f86a9e 100644
--- a/.github/workflows/test-integrations-web-2.yml
+++ b/.github/workflows/test-integrations-web-2.yml
@@ -38,7 +38,7 @@ jobs:
     # Use Docker container only for Python 3.6
     container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }}
     steps:
-      - uses: actions/checkout@v5.0.0
+      - uses: actions/checkout@v6.0.0
       - uses: actions/setup-python@v6
         if: ${{ matrix.python-version != '3.6' }}
         with:
diff --git a/.github/workflows/update-tox.yml b/.github/workflows/update-tox.yml
index 0d2640bb47..7d1565271a 100644
--- a/.github/workflows/update-tox.yml
+++ b/.github/workflows/update-tox.yml
@@ -20,10 +20,10 @@ jobs:
       - name: Setup Python
         uses: actions/setup-python@v6
         with:
-          python-version: 3.13
+          python-version: 3.14t
 
       - name: Checkout repo
-        uses: actions/checkout@v5.0.0
+        uses: actions/checkout@v6.0.0
         with:
           token: ${{ secrets.GITHUB_TOKEN }}
 
diff --git a/.gitignore b/.gitignore
index 3b1e93c41a..a37ad4a60f 100644
--- a/.gitignore
+++ b/.gitignore
@@ -29,6 +29,7 @@ pip-wheel-metadata
 .mypy_cache
 .vscode/
 .claude/
+.tool-versions
 
 # for running AWS Lambda tests using AWS SAM
 sam.template.yaml
diff --git a/CHANGELOG.md b/CHANGELOG.md
index a5f78e7fb6..80497ccd04 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,11 +1,94 @@
 # Changelog
 
+## 2.46.0
+
+### Various fixes & improvements
+
+- Preserve metadata on wrapped coroutines (#5105) by @alexander-alderman-webb
+- Make imports defensive to avoid `ModuleNotFoundError` in Pydantic AI integration (#5135) by @alexander-alderman-webb
+- Fix OpenAI agents integration mistakenly enabling itself (#5132) by @sentrivana
+- Add instrumentation to embedding functions for various backends (#5120) by @constantinius
+- Improve embeddings support for OpenAI (#5121) by @constantinius
+- Enhance input handling for embeddings in LiteLLM integration (#5127) by @constantinius
+- Expect exceptions when re-raised (#5125) by @alexander-alderman-webb
+- Remove `MagicMock` from mocked `ModelResponse` (#5126) by @alexander-alderman-webb
+
+## 2.45.0
+
+### Various fixes & improvements
+
+- OTLPIntegration (#4877) by @sl0thentr0py
+
+  Enable the new OTLP integration with the code snippet below, and your OpenTelemetry instrumentation will be automatically sent to Sentry's OTLP ingestion endpoint.
+
+  ```python
+    import sentry_sdk
+    from sentry_sdk.integrations.otlp import OTLPIntegration
+
+    sentry_sdk.init(
+        dsn="<your-dsn>",
+        # Add data like inputs and responses;
+        # see https://docs.sentry.io/platforms/python/data-management/data-collected/ for more info
+        send_default_pii=True,
+        integrations=[
+            OTLPIntegration(),
+        ],
+    )
+  ```
+
+  Under the hood, this will setup:
+  - A `SpanExporter` that will automatically set up the OTLP ingestion endpoint from your DSN
+  - A `Propagator` that ensures Distributed Tracing works
+  - Trace/Span linking for all other Sentry events such as Errors, Logs, Crons and Metrics
+
+  If you were using the `SentrySpanProcessor` before, we recommend migrating over to `OTLPIntegration` since it's a much simpler setup.
+
+- feat(integrations): implement context management for invoke_agent spans (#5089) by @constantinius
+- feat(loguru): Capture extra (#5096) by @sentrivana
+- feat: Attach `server.address` to metrics (#5113) by @alexander-alderman-webb
+- fix: Cast message and detail attributes before appending exception notes (#5114) by @alexander-alderman-webb
+- fix(integrations): ensure that GEN_AI_AGENT_NAME is properly set for GEN_AI spans under an invoke_agent span (#5030) by @constantinius
+- fix(logs): Update `sentry.origin` (#5112) by @sentrivana
+- chore: Deprecate description truncation option for Redis spans (#5073) by @alexander-alderman-webb
+- chore: Deprecate `max_spans` LangChain parameter (#5074) by @alexander-alderman-webb
+- chore(toxgen): Check availability of pip and add detail to exceptions (#5076) by @alexander-alderman-webb
+- chore: add MCP SDK Pydantic AI and OpenAI Agents to the list of auto enabled integrations (#5111) by @constantinius
+- test: add tests for either FastMCP implementation (#5075) by @constantinius
+- fix(ci): Re-enable skipped tests (#5104) by @sentrivana
+- ci: 🤖 Update test matrix with new releases (11/17) (#5110) by @github-actions
+- ci: Force coverage core ctrace for 3.14 (#5108) by @sl0thentr0py
+
+## 2.44.0
+
+### Various fixes & improvements
+
+- fix(openai): Check response text is present to avoid AttributeError (#5081) by @alexander-alderman-webb
+- fix(pydantic-ai): Do not fail on new `ToolManager._call_tool()` parameters (#5084) by @alexander-alderman-webb
+- tests(huggingface): Avoid `None` version (#5083) by @alexander-alderman-webb
+- ci: Pin `coverage` version for 3.14 Django tests (#5088) by @alexander-alderman-webb
+- chore: X handle update (#5078) by @cleptric
+- fix(openai-agents): add input messages to errored spans as well (#5077) by @shellmayr
+- fix: Add hard limit to log batcher (#5069) by @alexander-alderman-webb
+- fix: Add hard limit to metrics batcher (#5068) by @alexander-alderman-webb
+- fix(integrations): properly handle exceptions in tool calls (#5065) by @constantinius
+- feat: non-experimental `before_send_metric` option (#5064) by @alexander-alderman-webb
+- feat: non-experimental `enable_metrics` option (#5056) by @alexander-alderman-webb
+- fix(integrations): properly distinguish between network.transport and mcp.transport (#5063) by @constantinius
+- feat(integrations): add ability to auto-deactivate lower-level integrations based on map (#5052) by @shellmayr
+- Fix NOT_GIVEN check in anthropic (#5058) by @sl0thentr0py
+- ci: 🤖 Update test matrix with new releases (11/03) (#5054) by @github-actions
+- Add external_propagation_context support (#5051) by @sl0thentr0py
+- chore: Remove `enable_metrics` option (#5046) by @alexander-alderman-webb
+- Allow new integration setup on the instance with config options (#5047) by @sl0thentr0py
+- ci: Run integration tests on Python 3.14t (#4995) by @alexander-alderman-webb
+- docs: Elaborate on Strawberry autodetection in changelog (#5039) by @sentrivana
+
 ## 2.43.0
 
 ### Various fixes & improvements
 
 - Pydantic AI integration (#4906) by @constantinius
-  
+
   Enable the new Pydantic AI integration with the code snippet below, and you can use the Sentry AI dashboards to observe your AI calls:
 
   ```python
@@ -25,7 +108,7 @@
   )
   ```
 - MCP Python SDK (#4964) by @constantinius
-  
+
   Enable the new Python MCP integration with the code snippet below:
 
   ```python
@@ -44,13 +127,26 @@
       ],
   )
   ```
+- fix(strawberry): Remove autodetection, always use sync extension (#4984) by @sentrivana
+
+  Previously, `StrawberryIntegration` would try to guess whether it should install the sync or async version of itself. This auto-detection was very brittle and could lead to us auto-enabling async code in a sync context. With this change, `StrawberryIntegration` remains an auto-enabling integration, but it'll enable the sync version by default. If you want to enable the async version, pass the option explicitly:
+
+  ```python
+  sentry_sdk.init(
+      # ...
+      integrations=[
+          StrawberryIntegration(
+              async_execution=True
+          ),
+      ],
+  )
+  ```
 - fix(google-genai): Set agent name (#5038) by @constantinius
 - fix(integrations): hooking into error tracing function to find out if an execute tool span should be set to error (#4986) by @constantinius
 - fix(django): Improve logic for classifying cache hits and misses (#5029) by @alexander-alderman-webb
 - chore(metrics): Rename \_metrics to metrics (#5035) by @alexander-alderman-webb
 - fix(tracemetrics): Bump metric buffer size to 1k (#5031) by @k-fish
 - fix startlette deprecation warning (#5034) by @DeoLeung
-- fix(strawberry): Remove autodetection, always use sync extension (#4984) by @sentrivana
 - build(deps): bump actions/upload-artifact from 4 to 5 (#5032) by @dependabot
 - fix(ai): truncate messages for google genai (#4992) by @shellmayr
 - fix(ai): add message truncation to litellm (#4973) by @shellmayr
@@ -113,7 +209,7 @@
 ### Various fixes & improvements
 
 - feat: Add `concurrent.futures` patch to threading integration (#4770) by @alexander-alderman-webb
-  
+
   The SDK now makes sure to automatically preserve span relationships when using `ThreadPoolExecutor`.
 - chore: Remove old metrics code (#4899) by @sentrivana
 
@@ -128,7 +224,7 @@
 
 - Add LiteLLM integration (#4864) by @constantinius
   Once you've enabled the [new LiteLLM integration](https://docs.sentry.io/platforms/python/integrations/litellm/), you can use the Sentry AI Agents Monitoring, a Sentry dashboard that helps you understand what's going on with your AI requests:
-  
+
   ```python
   import sentry_sdk
   from sentry_sdk.integrations.litellm import LiteLLMIntegration
@@ -151,10 +247,10 @@
 - Also emit spans for MCP tool calls done by the LLM (#4875) by @constantinius
 - Option to not trace HTTP requests based on status codes (#4869) by @alexander-alderman-webb
   You can now disable transactions for incoming requests with specific HTTP status codes. The [new `trace_ignore_status_codes` option](https://docs.sentry.io/platforms/python/configuration/options/#trace_ignore_status_codes) accepts a `set` of status codes as integers. If a transaction wraps a request that results in one of the provided status codes, the transaction will be unsampled.
-    
+
   ```python
   import sentry_sdk
-  
+
   sentry_sdk.init(
       trace_ignore_status_codes={301, 302, 303, *range(305, 400), 404},
   )
diff --git a/README.md b/README.md
index a3afdc6e72..6c1db3b25f 100644
--- a/README.md
+++ b/README.md
@@ -7,7 +7,7 @@ _Bad software is everywhere, and we're tired of it. Sentry is on a mission to he
 [<kbd>**Check out our open positions**</kbd>](https://sentry.io/careers/)_.
 
 [![Discord](https://img.shields.io/discord/621778831602221064?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.com/invite/Ww9hbqr)
-[![Twitter Follow](https://img.shields.io/twitter/follow/getsentry?label=@getsentry&style=social)](https://twitter.com/intent/follow?screen_name=getsentry)
+[![X Follow](https://img.shields.io/twitter/follow/sentry?label=sentry&style=social)](https://x.com/intent/follow?screen_name=sentry)
 [![PyPi page link -- version](https://img.shields.io/pypi/v/sentry-sdk.svg)](https://pypi.python.org/pypi/sentry-sdk)
 <img src="https://img.shields.io/badge/python-3.7 | 3.8 | 3.9 | 3.10 | 3.11 | 3.12 | 3.13-blue.svg" alt="python">
 [![Build Status](https://github.com/getsentry/sentry-python/actions/workflows/ci.yml/badge.svg)](https://github.com/getsentry/sentry-python/actions/workflows/ci.yml)
@@ -107,7 +107,7 @@ Here are all resources to help you make the most of Sentry:
 
 - [Documentation](https://docs.sentry.io/platforms/python/) - Official documentation to get started.
 - [Discord](https://discord.com/invite/Ww9hbqr) - Join our Discord community.
-- [X/Twitter](https://twitter.com/intent/follow?screen_name=getsentry) -  Follow us on X (Twitter) for updates.
+- [X/Twitter](https://x.com/intent/follow?screen_name=sentry) -  Follow us on X (Twitter) for updates.
 - [Stack Overflow](https://stackoverflow.com/questions/tagged/sentry) - Questions and answers related to Sentry.
 
 <a name="license"></a>
diff --git a/docs/conf.py b/docs/conf.py
index 565af1a51c..c2f17285c2 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 = "2.43.0"
+release = "2.46.0"
 version = ".".join(release.split(".")[:2])  # The short X.Y version.
 
 
diff --git a/pyproject.toml b/pyproject.toml
index 4441660c50..2038ccd81f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,6 +4,7 @@
 
 [tool.coverage.run]
 branch = true
+core = "ctrace"
 omit = [
     "/tmp/*",
     "*/tests/*",
diff --git a/requirements-linting.txt b/requirements-linting.txt
index 1cc8274795..56c26df8de 100644
--- a/requirements-linting.txt
+++ b/requirements-linting.txt
@@ -7,7 +7,7 @@ types-greenlet
 types-redis
 types-setuptools
 types-webob
-opentelemetry-distro
+opentelemetry-distro[otlp]
 pymongo # There is no separate types module.
 loguru # There is no separate types module.
 pre-commit # local linting
diff --git a/scripts/populate_tox/README.md b/scripts/populate_tox/README.md
index d6c4e52147..e483ed78cb 100644
--- a/scripts/populate_tox/README.md
+++ b/scripts/populate_tox/README.md
@@ -7,6 +7,20 @@ sure we support everything we claim to.
 This `populate_tox.py` script is responsible for picking reasonable versions to
 test automatically and generating parts of `tox.ini` to capture this.
 
+## Running the script
+
+You require a free-threaded interpreter with pip installed to run the script. With
+a recent version of `uv` you can directly run the script with the following
+command:
+
+```
+uv run --python 3.14t \
+  --with pip \
+  --with-requirements scripts/populate_tox/requirements.txt \
+  --with-editable . \
+  python scripts/populate_tox/populate_tox.py
+```
+
 ## How it works
 
 There is a template in this directory called `tox.jinja` which contains a
diff --git a/scripts/populate_tox/config.py b/scripts/populate_tox/config.py
index 69263f92a3..b8b497b01b 100644
--- a/scripts/populate_tox/config.py
+++ b/scripts/populate_tox/config.py
@@ -103,6 +103,7 @@
                 "Werkzeug<2.1.0",
             ],
             "<3.1": ["pytest-django<4.0"],
+            "py3.14,py3.14t": ["coverage==7.11.0"],
         },
     },
     "dramatiq": {
@@ -199,7 +200,7 @@
         "package": "langchain",
         "integration_name": "langchain",
         "deps": {
-            "*": ["openai", "tiktoken", "langchain-openai"],
+            "*": ["pytest-asyncio", "openai", "tiktoken", "langchain-openai"],
             "<=0.1": ["httpx<0.28.0"],
             ">=0.3": ["langchain-community"],
             ">=1.0": ["langchain-classic"],
@@ -212,7 +213,7 @@
         "package": "langchain",
         "integration_name": "langchain",
         "deps": {
-            "*": ["openai", "langchain-openai"],
+            "*": ["pytest-asyncio", "openai", "langchain-openai"],
             "<=0.1": ["httpx<0.28.0"],
             ">=0.3": ["langchain-community"],
             ">=1.0": ["langchain-classic"],
@@ -248,6 +249,12 @@
             "*": ["pytest-asyncio"],
         },
     },
+    "fastmcp": {
+        "package": "fastmcp",
+        "deps": {
+            "*": ["pytest-asyncio"],
+        },
+    },
     "openai-base": {
         "package": "openai",
         "integration_name": "openai",
diff --git a/scripts/populate_tox/package_dependencies.jsonl b/scripts/populate_tox/package_dependencies.jsonl
new file mode 100644
index 0000000000..da29caea2a
--- /dev/null
+++ b/scripts/populate_tox/package_dependencies.jsonl
@@ -0,0 +1,26 @@
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diff --git a/scripts/populate_tox/populate_tox.py b/scripts/populate_tox/populate_tox.py
index 453823f39d..6a6700ed28 100644
--- a/scripts/populate_tox/populate_tox.py
+++ b/scripts/populate_tox/populate_tox.py
@@ -11,6 +11,7 @@
 import subprocess
 import sys
 import time
+from dataclasses import dataclass
 from bisect import bisect_left
 from collections import defaultdict
 from datetime import datetime, timedelta, timezone  # noqa: F401
@@ -39,6 +40,7 @@
 
 TOX_FILE = Path(__file__).resolve().parent.parent.parent / "tox.ini"
 RELEASES_CACHE_FILE = Path(__file__).resolve().parent / "releases.jsonl"
+DEPENDENCIES_CACHE_FILE = Path(__file__).resolve().parent / "package_dependencies.jsonl"
 ENV = Environment(
     loader=FileSystemLoader(Path(__file__).resolve().parent),
     trim_blocks=True,
@@ -52,6 +54,7 @@
 CLASSIFIER_PREFIX = "Programming Language :: Python :: "
 
 CACHE = defaultdict(dict)
+DEPENDENCIES_CACHE = defaultdict(dict)
 
 IGNORE = {
     # Do not try auto-generating the tox entries for these. They will be
@@ -61,12 +64,34 @@
     "aws_lambda",
     "cloud_resource_context",
     "common",
+    "integration_deactivation",
     "gcp",
     "gevent",
     "opentelemetry",
+    "otlp",
     "potel",
 }
 
+# Free-threading is experimentally supported in 3.13, and officially supported in 3.14.
+MIN_FREE_THREADING_SUPPORT = Version("3.14")
+
+
+@dataclass(order=True)
+class ThreadedVersion:
+    version: Version
+    no_gil: bool
+
+    def __init__(self, version: str | Version, no_gil=False):
+        self.version = Version(version) if isinstance(version, str) else version
+        self.no_gil = no_gil
+
+    def __str__(self):
+        version = f"py{self.version.major}.{self.version.minor}"
+        if self.no_gil:
+            version += "t"
+
+        return version
+
 
 def _fetch_sdk_metadata() -> PackageMetadata:
     (dist,) = distributions(
@@ -112,6 +137,38 @@ def fetch_release(package: str, version: Version) -> Optional[dict]:
     return release
 
 
+@functools.cache
+def fetch_package_dependencies(package: str, version: Version) -> dict:
+    """Fetch package dependencies metadata from cache or, failing that, PyPI."""
+    package_dependencies = _fetch_package_dependencies_from_cache(package, version)
+    if package_dependencies is not None:
+        return package_dependencies
+
+    # Removing non-report output with -qqq may be brittle, but avoids file I/O.
+    # Currently -qqq supresses all non-report output that would break json.loads().
+    pip_report = subprocess.run(
+        [
+            sys.executable,
+            "-m",
+            "pip",
+            "install",
+            f"{package}=={str(version)}",
+            "--dry-run",
+            "--ignore-installed",
+            "--report",
+            "-",
+            "-qqq",
+        ],
+        capture_output=True,
+        text=True,
+    ).stdout.strip()
+
+    dependencies_info = json.loads(pip_report)["install"]
+    _save_to_package_dependencies_cache(package, version, dependencies_info)
+
+    return dependencies_info
+
+
 def _fetch_from_cache(package: str, version: Version) -> Optional[dict]:
     package = _normalize_name(package)
     if package in CACHE and str(version) in CACHE[package]:
@@ -121,6 +178,17 @@ def _fetch_from_cache(package: str, version: Version) -> Optional[dict]:
     return None
 
 
+def _fetch_package_dependencies_from_cache(
+    package: str, version: Version
+) -> Optional[dict]:
+    package = _normalize_name(package)
+    if package in DEPENDENCIES_CACHE and str(version) in DEPENDENCIES_CACHE[package]:
+        DEPENDENCIES_CACHE[package][str(version)]["_accessed"] = True
+        return DEPENDENCIES_CACHE[package][str(version)]["dependencies"]
+
+    return None
+
+
 def _save_to_cache(package: str, version: Version, release: Optional[dict]) -> None:
     with open(RELEASES_CACHE_FILE, "a") as releases_cache:
         releases_cache.write(json.dumps(_normalize_release(release)) + "\n")
@@ -129,6 +197,23 @@ def _save_to_cache(package: str, version: Version, release: Optional[dict]) -> N
     CACHE[_normalize_name(package)][str(version)]["_accessed"] = True
 
 
+def _save_to_package_dependencies_cache(
+    package: str, version: Version, release: Optional[dict]
+) -> None:
+    with open(DEPENDENCIES_CACHE_FILE, "a") as releases_cache:
+        line = {
+            "name": package,
+            "version": str(version),
+            "dependencies": _normalize_package_dependencies(release),
+        }
+        releases_cache.write(json.dumps(line) + "\n")
+
+    DEPENDENCIES_CACHE[_normalize_name(package)][str(version)] = {
+        "info": release,
+        "_accessed": True,
+    }
+
+
 def _prefilter_releases(
     integration: str,
     releases: dict[str, dict],
@@ -404,12 +489,19 @@ def supported_python_versions(
     return supported
 
 
-def pick_python_versions_to_test(python_versions: list[Version]) -> list[Version]:
+def pick_python_versions_to_test(
+    python_versions: list[Version],
+    python_versions_with_supported_free_threaded_wheel: set[Version],
+) -> list[ThreadedVersion]:
     """
     Given a list of Python versions, pick those that make sense to test on.
 
     Currently, this is the oldest, the newest, and the second newest Python
     version.
+
+    A free-threaded variant is also chosen for the newest Python version for which
+    - a free-threaded wheel is distributed; and
+    - the SDK supports free-threading.
     """
     filtered_python_versions = {
         python_versions[0],
@@ -421,7 +513,21 @@ def pick_python_versions_to_test(python_versions: list[Version]) -> list[Version
     except IndexError:
         pass
 
-    return sorted(filtered_python_versions)
+    versions_to_test = sorted(
+        ThreadedVersion(version) for version in filtered_python_versions
+    )
+
+    for python_version in reversed(python_versions):
+        if python_version < MIN_FREE_THREADING_SUPPORT:
+            break
+
+        if python_version in python_versions_with_supported_free_threaded_wheel:
+            versions_to_test.append(
+                ThreadedVersion(versions_to_test[-1].version, no_gil=True)
+            )
+            break
+
+    return versions_to_test
 
 
 def _parse_python_versions_from_classifiers(classifiers: list[str]) -> list[Version]:
@@ -475,12 +581,103 @@ def determine_python_versions(pypi_data: dict) -> Union[SpecifierSet, list[Versi
     return []
 
 
-def _render_python_versions(python_versions: list[Version]) -> str:
-    return (
-        "{"
-        + ",".join(f"py{version.major}.{version.minor}" for version in python_versions)
-        + "}"
-    )
+def _get_abi_tag(wheel_filename: str) -> str:
+    return wheel_filename.removesuffix(".whl").split("-")[-2]
+
+
+def _get_abi_tag_version(python_version: Version):
+    return f"{python_version.major}{python_version.minor}"
+
+
+@functools.cache
+def _has_free_threading_dependencies(
+    package_name: str, release: Version, python_version: Version
+) -> bool:
+    """
+    Checks if all dependencies of a version of a package support free-threading.
+
+    A dependency supports free-threading if
+    - the dependency is pure Python, indicated by a "none" abi tag in its wheel name; or
+    - the abi tag of one of its wheels has a "t" suffix to indicate a free-threaded build; or
+    - no wheel targets the platform on which the script is run, but PyPI distributes a wheel
+      satisfying one of the above conditions.
+    """
+    dependencies_info = fetch_package_dependencies(package_name, release)
+
+    for dependency_info in dependencies_info:
+        wheel_filename = dependency_info["download_info"]["url"].split("/")[-1]
+
+        if wheel_filename.endswith(".tar.gz"):
+            package_release = wheel_filename.rstrip(".tar.gz")
+            dependency_name, dependency_version = package_release.split("-")
+
+            pypi_data = fetch_release(dependency_name, Version(dependency_version))
+            supports_free_threading = False
+
+            for download in pypi_data["urls"]:
+                abi_tag = _get_abi_tag(download["filename"])
+                abi_tag_version = _get_abi_tag_version(python_version)
+
+                if download["packagetype"] == "bdist_wheel" and (
+                    (
+                        abi_tag.endswith("t")
+                        and abi_tag.startswith(f"cp{abi_tag_version}")
+                    )
+                    or abi_tag == "none"
+                ):
+                    supports_free_threading = True
+
+            if not supports_free_threading:
+                return False
+
+        elif wheel_filename.endswith(".whl"):
+            abi_tag = _get_abi_tag(wheel_filename)
+            if abi_tag != "none" and not abi_tag.endswith("t"):
+                return False
+
+        else:
+            raise Exception(
+                f"Wheel filename with unhandled extension: {wheel_filename}"
+            )
+
+    return True
+
+
+def _supports_free_threading(
+    package_name: str, release: Version, python_version: Version, pypi_data: dict
+) -> bool:
+    """
+    Check if the package version supports free-threading on the given Python minor
+    version.
+
+    There are two cases in which we assume a package has free-threading
+    support:
+    - The package is pure Python, indicated by a "none" abi tag in its wheel name,
+      and has dependencies supporting free-threading; or
+    - the abi tag of one of its wheels has a "t" suffix to indicate a free-threaded build.
+
+    See https://peps.python.org/pep-0427/#file-name-convention
+    """
+    for download in pypi_data["urls"]:
+        if download["packagetype"] == "bdist_wheel":
+            abi_tag = _get_abi_tag(download["filename"])
+
+            abi_tag_version = _get_abi_tag_version(python_version)
+            if (
+                abi_tag.endswith("t") and abi_tag.startswith(f"cp{abi_tag_version}")
+            ) or (
+                abi_tag == "none"
+                and _has_free_threading_dependencies(
+                    package_name, release, python_version
+                )
+            ):
+                return True
+
+    return False
+
+
+def _render_python_versions(python_versions: list[ThreadedVersion]) -> str:
+    return "{" + ",".join(str(version) for version in python_versions) + "}"
 
 
 def _render_dependencies(integration: str, releases: list[Version]) -> list[str]:
@@ -585,12 +782,22 @@ def _add_python_versions_to_release(
         TEST_SUITE_CONFIG[integration].get("python")
     )
 
+    supported_py_versions = supported_python_versions(
+        determine_python_versions(release_pypi_data),
+        target_python_versions,
+        release,
+    )
+
+    py_versions_with_supported_free_threaded_wheel = set(
+        version
+        for version in supported_py_versions
+        if version >= MIN_FREE_THREADING_SUPPORT
+        and _supports_free_threading(package, release, version, release_pypi_data)
+    )
+
     release.python_versions = pick_python_versions_to_test(
-        supported_python_versions(
-            determine_python_versions(release_pypi_data),
-            target_python_versions,
-            release,
-        )
+        supported_py_versions,
+        py_versions_with_supported_free_threaded_wheel,
     )
 
     release.rendered_python_versions = _render_python_versions(release.python_versions)
@@ -647,8 +854,16 @@ def _normalize_name(package: str) -> str:
     return package.lower().replace("-", "_")
 
 
+def _extract_wheel_info_to_cache(wheel: dict):
+    return {
+        "packagetype": wheel["packagetype"],
+        "filename": wheel["filename"],
+    }
+
+
 def _normalize_release(release: dict) -> dict:
     """Filter out unneeded parts of the release JSON."""
+    urls = [_extract_wheel_info_to_cache(wheel) for wheel in release["urls"]]
     normalized = {
         "info": {
             "classifiers": release["info"]["classifiers"],
@@ -657,15 +872,61 @@ def _normalize_release(release: dict) -> dict:
             "version": release["info"]["version"],
             "yanked": release["info"]["yanked"],
         },
+        "urls": urls,
     }
     return normalized
 
 
+def _normalize_package_dependencies(package_dependencies: list[dict]) -> list[dict]:
+    """Filter out unneeded parts of the package dependencies JSON."""
+    normalized = [
+        {
+            "download_info": {"url": depedency["download_info"]["url"]},
+        }
+        for depedency in package_dependencies
+    ]
+
+    return normalized
+
+
+def _exit_if_not_free_threaded_interpreter():
+    if "free-threading build" not in sys.version:
+        exc = Exception("Running with a free-threaded interpreter is required.")
+        exc.add_note(
+            "A dry run of pip is used to determine free-threading support of packages."
+        )
+        raise exc
+
+
+def _exit_if_pip_unavailable():
+    pip_help_return_code = subprocess.run(
+        [
+            sys.executable,
+            "-m",
+            "pip",
+            "--help",
+        ],
+        stdout=subprocess.DEVNULL,
+        stderr=subprocess.DEVNULL,
+    ).returncode
+
+    if pip_help_return_code != 0:
+        exc = Exception("pip must be available.")
+        exc.add_note(
+            "A dry run of pip is used to determine free-threading support of packages."
+        )
+        raise exc
+
+
 def main() -> dict[str, list]:
     """
     Generate tox.ini from the tox.jinja template.
     """
     global MIN_PYTHON_VERSION, MAX_PYTHON_VERSION
+
+    _exit_if_not_free_threaded_interpreter()
+    _exit_if_pip_unavailable()
+
     meta = _fetch_sdk_metadata()
     sdk_python_versions = _parse_python_versions_from_classifiers(
         meta.get_all("Classifier")
@@ -676,6 +937,20 @@ def main() -> dict[str, list]:
         f"The SDK supports Python versions {MIN_PYTHON_VERSION} - {MAX_PYTHON_VERSION}."
     )
 
+    if not RELEASES_CACHE_FILE.exists():
+        print(
+            f"Creating {RELEASES_CACHE_FILE.name}."
+            "You should only see this message if you cleared the cache by removing the file."
+        )
+        RELEASES_CACHE_FILE.write_text("")
+
+    if not DEPENDENCIES_CACHE_FILE.exists():
+        print(
+            f"Creating {DEPENDENCIES_CACHE_FILE.name}."
+            "You should only see this message if you cleared the cache by removing the file."
+        )
+        DEPENDENCIES_CACHE_FILE.write_text("")
+
     # Load file cache
     global CACHE
 
@@ -689,6 +964,19 @@ def main() -> dict[str, list]:
                 False  # for cleaning up unused cache entries
             )
 
+    # Load package dependencies cache
+    global DEPENDENCIES_CACHE
+
+    with open(DEPENDENCIES_CACHE_FILE) as dependencies_cache:
+        for line in dependencies_cache:
+            release = json.loads(line)
+            name = _normalize_name(release["name"])
+            version = release["version"]
+            DEPENDENCIES_CACHE[name][version] = {
+                "dependencies": release["dependencies"],
+                "_accessed": False,
+            }
+
     # Process packages
     packages = defaultdict(list)
 
@@ -764,9 +1052,24 @@ def main() -> dict[str, list]:
             ):
                 releases_cache.write(json.dumps(release) + "\n")
 
+    # Sort the dependencies file
+    releases = []
+    with open(DEPENDENCIES_CACHE_FILE) as releases_cache:
+        releases = [json.loads(line) for line in releases_cache]
+    releases.sort(key=lambda r: (r["name"], r["version"]))
+    with open(DEPENDENCIES_CACHE_FILE, "w") as releases_cache:
+        for release in releases:
+            if (
+                DEPENDENCIES_CACHE[_normalize_name(release["name"])][
+                    release["version"]
+                ]["_accessed"]
+                is True
+            ):
+                releases_cache.write(json.dumps(release) + "\n")
+
     print(
         "Done generating tox.ini. Make sure to also update the CI YAML "
-        "files to reflect the new test targets."
+        "files by executing split_tox_gh_actions.py."
     )
 
     return packages
diff --git a/scripts/populate_tox/releases.jsonl b/scripts/populate_tox/releases.jsonl
index c639a53d1f..753ef36614 100644
--- a/scripts/populate_tox/releases.jsonl
+++ b/scripts/populate_tox/releases.jsonl
@@ -1,227 +1,232 @@
-{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: Web Environment", "Framework :: Django", "Intended Audience :: Developers", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Topic :: Internet :: WWW/HTTP", "Topic :: Internet :: WWW/HTTP :: Dynamic Content", "Topic :: Internet :: WWW/HTTP :: WSGI", "Topic :: Software Development :: Libraries :: Application Frameworks", "Topic :: Software Development :: Libraries :: Python Modules"], "name": "Django", "requires_python": "", "version": "1.10.8", "yanked": false}}
-{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: Web Environment", "Framework :: Django", "Intended Audience :: Developers", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Internet :: WWW/HTTP", "Topic :: Internet :: WWW/HTTP :: Dynamic Content", "Topic :: Internet :: WWW/HTTP :: WSGI", "Topic :: Software Development :: Libraries :: Application Frameworks", "Topic :: Software Development :: Libraries :: Python Modules"], "name": "Django", "requires_python": "", "version": "1.11.29", "yanked": false}}
-{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: Web Environment", "Framework :: Django", "Intended Audience :: Developers", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.2", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Topic :: Internet :: WWW/HTTP", "Topic :: Internet :: WWW/HTTP :: Dynamic Content", "Topic :: Internet :: WWW/HTTP :: WSGI", "Topic :: Software Development :: Libraries :: Application Frameworks", "Topic :: Software Development :: Libraries :: Python Modules"], "name": "Django", "requires_python": "", "version": "1.8.19", "yanked": false}}
-{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: Web Environment", "Framework :: Django", "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 :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Internet :: WWW/HTTP", "Topic :: Internet :: WWW/HTTP :: Dynamic Content", "Topic :: Internet :: WWW/HTTP :: WSGI", "Topic :: Software Development :: Libraries :: Application Frameworks", "Topic :: Software Development :: Libraries :: Python Modules"], "name": "Django", "requires_python": ">=3.4", "version": "2.0.13", "yanked": false}}
-{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: Web Environment", "Framework :: Django", "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 :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Topic :: Internet :: WWW/HTTP", "Topic :: Internet :: WWW/HTTP :: Dynamic Content", "Topic :: Internet :: WWW/HTTP :: WSGI", "Topic :: Software Development :: Libraries :: Application Frameworks", "Topic :: Software Development :: Libraries :: Python Modules"], "name": "Django", "requires_python": ">=3.5", "version": "2.2.28", "yanked": false}}
-{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: Web Environment", "Framework :: Django", "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 :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Topic :: Internet :: WWW/HTTP", "Topic :: Internet :: WWW/HTTP :: Dynamic Content", "Topic :: Internet :: WWW/HTTP :: WSGI", "Topic :: Software Development :: Libraries :: Application Frameworks", "Topic :: Software Development :: Libraries :: Python Modules"], "name": "Django", "requires_python": ">=3.6", "version": "3.1.14", "yanked": false}}
-{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: Web Environment", "Framework :: Django", "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 :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Topic :: Internet :: WWW/HTTP", "Topic :: Internet :: WWW/HTTP :: Dynamic Content", "Topic :: Internet :: WWW/HTTP :: WSGI", "Topic :: Software Development :: Libraries :: Application Frameworks", "Topic :: Software Development :: Libraries :: Python Modules"], "name": "Django", "requires_python": ">=3.6", "version": "3.2.25", "yanked": false}}
-{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: Web Environment", "Framework :: Django", "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 :: 3.8", "Programming Language :: Python :: 3.9", "Topic :: Internet :: WWW/HTTP", "Topic :: Internet :: WWW/HTTP :: Dynamic Content", "Topic :: Internet :: WWW/HTTP :: WSGI", "Topic :: Software Development :: Libraries :: Application Frameworks", "Topic :: Software Development :: Libraries :: Python Modules"], "name": "Django", "requires_python": ">=3.8", "version": "4.2.25", "yanked": false}}
-{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: Web Environment", "Framework :: Django", "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", "Topic :: Internet :: WWW/HTTP", "Topic :: Internet :: WWW/HTTP :: Dynamic Content", "Topic :: Internet :: WWW/HTTP :: WSGI", "Topic :: Software Development :: Libraries :: Application Frameworks", "Topic :: Software Development :: Libraries :: Python Modules"], "name": "Django", "requires_python": ">=3.10", "version": "5.2.7", "yanked": false}}
-{"info": {"classifiers": ["Development Status :: 4 - Beta", "Environment :: Web Environment", "Framework :: Django", "Intended Audience :: Developers", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.14", "Topic :: Internet :: WWW/HTTP", "Topic :: Internet :: WWW/HTTP :: Dynamic Content", "Topic :: Internet :: WWW/HTTP :: WSGI", "Topic :: Software Development :: Libraries :: Application Frameworks", "Topic :: Software Development :: Libraries :: Python Modules"], "name": "Django", "requires_python": ">=3.12", "version": "6.0b1", "yanked": false}}
-{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: Web Environment", "Framework :: Flask", "Intended Audience :: Developers", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy", "Topic :: Internet :: WWW/HTTP :: Dynamic Content", "Topic :: Internet :: WWW/HTTP :: WSGI :: Application", "Topic :: Software Development :: Libraries :: Application Frameworks", "Topic :: Software Development :: Libraries :: Python Modules"], "name": "Flask", "requires_python": ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*", "version": "1.1.4", "yanked": false}}
-{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: Web Environment", "Framework :: Flask", "Intended Audience :: Developers", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python", "Topic :: Internet :: WWW/HTTP :: Dynamic Content", "Topic :: Internet :: WWW/HTTP :: WSGI", "Topic :: Internet :: WWW/HTTP :: WSGI :: Application", "Topic :: Software Development :: Libraries :: Application Frameworks"], "name": "Flask", "requires_python": ">=3.8", "version": "2.3.3", "yanked": false}}
-{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: Web Environment", "Framework :: Flask", "Intended Audience :: Developers", "Operating System :: OS Independent", "Programming Language :: Python", "Topic :: Internet :: WWW/HTTP :: Dynamic Content", "Topic :: Internet :: WWW/HTTP :: WSGI", "Topic :: Internet :: WWW/HTTP :: WSGI :: Application", "Topic :: Software Development :: Libraries :: Application Frameworks", "Typing :: Typed"], "name": "Flask", "requires_python": ">=3.9", "version": "3.1.2", "yanked": false}}
-{"info": {"classifiers": ["Development Status :: 4 - Beta", "Environment :: Web Environment", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Topic :: Internet :: WWW/HTTP :: Dynamic Content", "Topic :: Software Development :: Libraries :: Python Modules"], "name": "Quart", "requires_python": ">=3.7", "version": "0.16.3", "yanked": false}}
-{"info": {"classifiers": ["Development Status :: 4 - Beta", "Environment :: Web Environment", "Framework :: Flask", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python", "Topic :: Internet :: WWW/HTTP :: Dynamic Content", "Topic :: Software Development :: Libraries :: Application Frameworks", "Typing :: Typed"], "name": "Quart", "requires_python": ">=3.9", "version": "0.20.0", "yanked": false}}
-{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy", "Topic :: Database :: Front-Ends"], "name": "SQLAlchemy", "requires_python": "", "version": "1.2.19", "yanked": false}}
-{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy", "Topic :: Database :: Front-Ends"], "name": "SQLAlchemy", "requires_python": ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*", "version": "1.3.24", "yanked": false}}
-{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy", "Topic :: Database :: Front-Ends"], "name": "SQLAlchemy", "requires_python": "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7", "version": "1.4.54", "yanked": false}}
-{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.10", "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", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy", "Topic :: Database :: Front-Ends"], "name": "SQLAlchemy", "requires_python": ">=3.7", "version": "2.0.44", "yanked": false}}
-{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Typing :: Typed"], "name": "UnleashClient", "requires_python": ">=3.8", "version": "6.0.1", "yanked": false}}
-{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Typing :: Typed"], "name": "UnleashClient", "requires_python": ">=3.8", "version": "6.3.0", "yanked": false}}
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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 v3 or later (GPLv3+)", "Natural Language :: Bulgarian", "Natural Language :: Catalan", "Natural Language :: Chinese (Simplified)", "Natural Language :: Czech", "Natural Language :: Dutch", "Natural Language :: English", "Natural Language :: French", "Natural Language :: German", "Natural Language :: Hungarian", "Natural Language :: Italian", "Natural Language :: Persian", "Natural Language :: Polish", "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 :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy", "Topic :: Software Development :: Libraries :: Application Frameworks"], "name": "trytond", "requires_python": "", "version": "4.8.18", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "trytond-4.8.18-py2-none-any.whl"}, {"packagetype": "bdist_wheel", "filename": "trytond-4.8.18-py3-none-any.whl"}, {"packagetype": "sdist", "filename": "trytond-4.8.18.tar.gz"}]}
+{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: No Input/Output (Daemon)", "Framework :: Tryton", "Intended Audience :: Developers", "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)", "Natural Language :: Bulgarian", "Natural Language :: Catalan", "Natural Language :: Chinese (Simplified)", "Natural Language :: Czech", "Natural Language :: Dutch", "Natural Language :: English", "Natural Language :: French", "Natural Language :: German", "Natural Language :: Hungarian", "Natural Language :: Italian", "Natural Language :: Persian", "Natural Language :: Polish", "Natural Language :: Portuguese (Brazilian)", "Natural Language :: Russian", "Natural Language :: Slovenian", "Natural Language :: Spanish", "Operating System :: OS Independent", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy", "Topic :: Software Development :: Libraries :: Application Frameworks"], "name": "trytond", "requires_python": ">=3.4", "version": "5.0.63", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "trytond-5.0.63-py3-none-any.whl"}, {"packagetype": "sdist", "filename": "trytond-5.0.63.tar.gz"}]}
+{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: Console", "Environment :: No Input/Output (Daemon)", "Framework :: Tryton", "Intended Audience :: Developers", "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)", "Natural Language :: Bulgarian", "Natural Language :: Catalan", "Natural Language :: Chinese (Simplified)", "Natural Language :: Czech", "Natural Language :: Dutch", "Natural Language :: English", "Natural Language :: Finnish", "Natural Language :: French", "Natural Language :: German", "Natural Language :: Hungarian", "Natural Language :: Indonesian", "Natural Language :: Italian", "Natural Language :: Persian", "Natural Language :: Polish", "Natural Language :: Portuguese (Brazilian)", "Natural Language :: Russian", "Natural Language :: Slovenian", "Natural Language :: Spanish", "Natural Language :: Turkish", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy", "Topic :: Software Development :: Libraries :: Application Frameworks"], "name": "trytond", "requires_python": ">=3.5", "version": "5.4.20", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "trytond-5.4.20-py3-none-any.whl"}, {"packagetype": "sdist", "filename": "trytond-5.4.20.tar.gz"}]}
+{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: Console", "Environment :: No Input/Output (Daemon)", "Framework :: Tryton", "Intended Audience :: Developers", "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)", "Natural Language :: Bulgarian", "Natural Language :: Catalan", "Natural Language :: Chinese (Simplified)", "Natural Language :: Czech", "Natural Language :: Dutch", "Natural Language :: English", "Natural Language :: Finnish", "Natural Language :: French", "Natural Language :: German", "Natural Language :: Hungarian", "Natural Language :: Indonesian", "Natural Language :: Italian", "Natural Language :: Persian", "Natural Language :: Polish", "Natural Language :: Portuguese (Brazilian)", "Natural Language :: Russian", "Natural Language :: Slovenian", "Natural Language :: Spanish", "Natural Language :: Turkish", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy", "Topic :: Software Development :: Libraries :: Application Frameworks"], "name": "trytond", "requires_python": ">=3.6", "version": "5.8.16", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "trytond-5.8.16-py3-none-any.whl"}, {"packagetype": "sdist", "filename": "trytond-5.8.16.tar.gz"}]}
+{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: Console", "Environment :: No Input/Output (Daemon)", "Framework :: Tryton", "Intended Audience :: Developers", "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)", "Natural Language :: Bulgarian", "Natural Language :: Catalan", "Natural Language :: Chinese (Simplified)", "Natural Language :: Czech", "Natural Language :: Dutch", "Natural Language :: English", "Natural Language :: Finnish", "Natural Language :: French", "Natural Language :: German", "Natural Language :: Hungarian", "Natural Language :: Indonesian", "Natural Language :: Italian", "Natural Language :: Persian", "Natural Language :: Polish", "Natural Language :: Portuguese (Brazilian)", "Natural Language :: Romanian", "Natural Language :: Russian", "Natural Language :: Slovenian", "Natural Language :: Spanish", "Natural Language :: Turkish", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy", "Topic :: Software Development :: Libraries :: Application Frameworks"], "name": "trytond", "requires_python": ">=3.6", "version": "6.2.14", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "trytond-6.2.14-py3-none-any.whl"}, {"packagetype": "sdist", "filename": "trytond-6.2.14.tar.gz"}]}
+{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: Console", "Environment :: No Input/Output (Daemon)", "Framework :: Tryton", "Intended Audience :: Developers", "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)", "Natural Language :: Bulgarian", "Natural Language :: Catalan", "Natural Language :: Chinese (Simplified)", "Natural Language :: Czech", "Natural Language :: Dutch", "Natural Language :: English", "Natural Language :: Finnish", "Natural Language :: French", "Natural Language :: German", "Natural Language :: Hungarian", "Natural Language :: Indonesian", "Natural Language :: Italian", "Natural Language :: Persian", "Natural Language :: Polish", "Natural Language :: Portuguese (Brazilian)", "Natural Language :: Romanian", "Natural Language :: Russian", "Natural Language :: Slovenian", "Natural Language :: Spanish", "Natural Language :: Turkish", "Natural Language :: Ukrainian", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: Implementation :: CPython", "Topic :: Software Development :: Libraries :: Application Frameworks"], "name": "trytond", "requires_python": ">=3.8", "version": "6.8.17", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "trytond-6.8.17-py3-none-any.whl"}, {"packagetype": "sdist", "filename": "trytond-6.8.17.tar.gz"}]}
+{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: Console", "Environment :: No Input/Output (Daemon)", "Framework :: Tryton", "Intended Audience :: Developers", "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)", "Natural Language :: Bulgarian", "Natural Language :: Catalan", "Natural Language :: Chinese (Simplified)", "Natural Language :: Czech", "Natural Language :: Dutch", "Natural Language :: English", "Natural Language :: Finnish", "Natural Language :: French", "Natural Language :: German", "Natural Language :: Hungarian", "Natural Language :: Indonesian", "Natural Language :: Italian", "Natural Language :: Persian", "Natural Language :: Polish", "Natural Language :: Portuguese (Brazilian)", "Natural Language :: Romanian", "Natural Language :: Russian", "Natural Language :: Slovenian", "Natural Language :: Spanish", "Natural Language :: Turkish", "Natural Language :: Ukrainian", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: Implementation :: CPython", "Topic :: Software Development :: Libraries :: Application Frameworks"], "name": "trytond", "requires_python": ">=3.9", "version": "7.6.10", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "trytond-7.6.10-py3-none-any.whl"}, {"packagetype": "sdist", "filename": "trytond-7.6.10.tar.gz"}]}
+{"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", "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 :: 3.14", "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": ">=3.8", "version": "0.20.0", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "typer-0.20.0-py3-none-any.whl"}, {"packagetype": "sdist", "filename": "typer-0.20.0.tar.gz"}]}
diff --git a/scripts/populate_tox/tox.jinja b/scripts/populate_tox/tox.jinja
index 4de4d94b5f..e4c2bcd2a5 100755
--- a/scripts/populate_tox/tox.jinja
+++ b/scripts/populate_tox/tox.jinja
@@ -23,6 +23,9 @@ envlist =
     # === Gevent ===
     {py3.6,py3.8,py3.10,py3.11,py3.12}-gevent
 
+    # === Integration Deactivation ===
+    {py3.9,py3.10,py3.11,py3.12,py3.13,py3.14}-integration_deactivation
+
     # === Integrations ===
 
     # Asgi
@@ -40,6 +43,9 @@ envlist =
     # OpenTelemetry (OTel)
     {py3.7,py3.9,py3.12,py3.13,py3.14,py3.14t}-opentelemetry
 
+    # OpenTelemetry with OTLP
+    {py3.7,py3.9,py3.12,py3.13,py3.14}-otlp
+
     # OpenTelemetry Experimental (POTel)
     {py3.8,py3.9,py3.10,py3.11,py3.12,py3.13}-potel
 
@@ -75,6 +81,8 @@ deps =
     # for justification of the upper bound on pytest
     {py3.6,py3.7}-common: pytest<7.0.0
     {py3.8,py3.9,py3.10,py3.11,py3.12,py3.13,py3.14,py3.14t}-common: pytest
+    # coverage 7.11.1-7.11.3 makes some of our tests flake
+    {py3.14,py3.14t}-common: coverage==7.11.0
 
     # === Gevent ===
     {py3.6,py3.7,py3.8,py3.9,py3.10,py3.11}-gevent: gevent>=22.10.0, <22.11.0
@@ -88,6 +96,11 @@ deps =
     {py3.10,py3.11}-gevent: zope.event<5.0.0
     {py3.10,py3.11}-gevent: zope.interface<8.0
 
+    # === Integration Deactivation ===
+    integration_deactivation: openai
+    integration_deactivation: anthropic
+    integration_deactivation: langchain
+
     # === Integrations ===
 
     # Asgi
@@ -105,6 +118,9 @@ deps =
     # OpenTelemetry (OTel)
     opentelemetry: opentelemetry-distro
 
+    # OpenTelemetry with OTLP
+    otlp: opentelemetry-distro[otlp]
+
     # OpenTelemetry Experimental (POTel)
     potel: -e .[opentelemetry-experimental]
 
@@ -144,11 +160,13 @@ setenv =
     # TESTPATH definitions for test suites not managed by toxgen
     common: TESTPATH=tests
     gevent: TESTPATH=tests
+    integration_deactivation: TESTPATH=tests/test_ai_integration_deactivation.py
     asgi: TESTPATH=tests/integrations/asgi
     aws_lambda: TESTPATH=tests/integrations/aws_lambda
     cloud_resource_context: TESTPATH=tests/integrations/cloud_resource_context
     gcp: TESTPATH=tests/integrations/gcp
     opentelemetry: TESTPATH=tests/integrations/opentelemetry
+    otlp: TESTPATH=tests/integrations/otlp
     potel: TESTPATH=tests/integrations/opentelemetry
     socket: TESTPATH=tests/integrations/socket
 
diff --git a/scripts/split_tox_gh_actions/split_tox_gh_actions.py b/scripts/split_tox_gh_actions/split_tox_gh_actions.py
index 9f9369d4ab..291452dea0 100755
--- a/scripts/split_tox_gh_actions/split_tox_gh_actions.py
+++ b/scripts/split_tox_gh_actions/split_tox_gh_actions.py
@@ -79,6 +79,7 @@
         "langgraph",
         "litellm",
         "mcp",
+        "fastmcp",
         "openai-base",
         "openai-notiktoken",
         "openai_agents",
@@ -150,10 +151,12 @@
     "Misc": [
         "loguru",
         "opentelemetry",
+        "otlp",
         "potel",
         "pure_eval",
         "trytond",
         "typer",
+        "integration_deactivation",
     ],
 }
 
diff --git a/sentry_sdk/_log_batcher.py b/sentry_sdk/_log_batcher.py
index 87bebdb226..f7f6c80565 100644
--- a/sentry_sdk/_log_batcher.py
+++ b/sentry_sdk/_log_batcher.py
@@ -13,15 +13,18 @@
 
 class LogBatcher:
     MAX_LOGS_BEFORE_FLUSH = 100
+    MAX_LOGS_BEFORE_DROP = 1_000
     FLUSH_WAIT_TIME = 5.0
 
     def __init__(
         self,
         capture_func,  # type: Callable[[Envelope], None]
+        record_lost_func,  # type: Callable[..., None]
     ):
         # type: (...) -> None
         self._log_buffer = []  # type: List[Log]
         self._capture_func = capture_func
+        self._record_lost_func = record_lost_func
         self._running = True
         self._lock = threading.Lock()
 
@@ -79,6 +82,14 @@ def add(
             return None
 
         with self._lock:
+            if len(self._log_buffer) >= self.MAX_LOGS_BEFORE_DROP:
+                self._record_lost_func(
+                    reason="queue_overflow",
+                    data_category="log_item",
+                    quantity=1,
+                )
+                return None
+
             self._log_buffer.append(log)
             if len(self._log_buffer) >= self.MAX_LOGS_BEFORE_FLUSH:
                 self._flush_event.set()
diff --git a/sentry_sdk/_metrics_batcher.py b/sentry_sdk/_metrics_batcher.py
index 27d27f2c72..0db424cfcb 100644
--- a/sentry_sdk/_metrics_batcher.py
+++ b/sentry_sdk/_metrics_batcher.py
@@ -13,15 +13,18 @@
 
 class MetricsBatcher:
     MAX_METRICS_BEFORE_FLUSH = 1000
+    MAX_METRICS_BEFORE_DROP = 10_000
     FLUSH_WAIT_TIME = 5.0
 
     def __init__(
         self,
         capture_func,  # type: Callable[[Envelope], None]
+        record_lost_func,  # type: Callable[..., None]
     ):
         # type: (...) -> None
         self._metric_buffer = []  # type: List[Metric]
         self._capture_func = capture_func
+        self._record_lost_func = record_lost_func
         self._running = True
         self._lock = threading.Lock()
 
@@ -72,6 +75,14 @@ def add(
             return None
 
         with self._lock:
+            if len(self._metric_buffer) >= self.MAX_METRICS_BEFORE_DROP:
+                self._record_lost_func(
+                    reason="queue_overflow",
+                    data_category="trace_metric",
+                    quantity=1,
+                )
+                return None
+
             self._metric_buffer.append(metric)
             if len(self._metric_buffer) >= self.MAX_METRICS_BEFORE_FLUSH:
                 self._flush_event.set()
diff --git a/sentry_sdk/client.py b/sentry_sdk/client.py
index 91096c6b4f..928fc3ea8b 100644
--- a/sentry_sdk/client.py
+++ b/sentry_sdk/client.py
@@ -10,6 +10,7 @@
 
 import sentry_sdk
 from sentry_sdk._compat import PY37, check_uwsgi_thread_support
+from sentry_sdk._metrics_batcher import MetricsBatcher
 from sentry_sdk.utils import (
     AnnotatedValue,
     ContextVar,
@@ -61,7 +62,7 @@
     from typing import Union
     from typing import TypeVar
 
-    from sentry_sdk._types import Event, Hint, SDKInfo, Log, Metric
+    from sentry_sdk._types import Event, Hint, SDKInfo, Log, Metric, EventDataCategory
     from sentry_sdk.integrations import Integration
     from sentry_sdk.scope import Scope
     from sentry_sdk.session import Session
@@ -356,6 +357,19 @@ def _capture_envelope(envelope):
             if self.transport is not None:
                 self.transport.capture_envelope(envelope)
 
+        def _record_lost_event(
+            reason,  # type: str
+            data_category,  # type: EventDataCategory
+            quantity=1,  # type: int
+        ):
+            # type: (...) -> None
+            if self.transport is not None:
+                self.transport.record_lost_event(
+                    reason=reason,
+                    data_category=data_category,
+                    quantity=quantity,
+                )
+
         try:
             _client_init_debug.set(self.options["debug"])
             self.transport = make_transport(self.options)
@@ -372,14 +386,17 @@ def _capture_envelope(envelope):
             if has_logs_enabled(self.options):
                 from sentry_sdk._log_batcher import LogBatcher
 
-                self.log_batcher = LogBatcher(capture_func=_capture_envelope)
+                self.log_batcher = LogBatcher(
+                    capture_func=_capture_envelope,
+                    record_lost_func=_record_lost_event,
+                )
 
             self.metrics_batcher = None
-
             if has_metrics_enabled(self.options):
-                from sentry_sdk._metrics_batcher import MetricsBatcher
-
-                self.metrics_batcher = MetricsBatcher(capture_func=_capture_envelope)
+                self.metrics_batcher = MetricsBatcher(
+                    capture_func=_capture_envelope,
+                    record_lost_func=_record_lost_event,
+                )
 
             max_request_body_size = ("always", "never", "small", "medium")
             if self.options["max_request_body_size"] not in max_request_body_size:
@@ -409,6 +426,7 @@ def _capture_envelope(envelope):
                     "auto_enabling_integrations"
                 ],
                 disabled_integrations=self.options["disabled_integrations"],
+                options=self.options,
             )
 
             spotlight_config = self.options.get("spotlight")
@@ -932,17 +950,18 @@ def _capture_log(self, log):
         if release is not None and "sentry.release" not in log["attributes"]:
             log["attributes"]["sentry.release"] = release
 
-        span = current_scope.span
-        if span is not None and "sentry.trace.parent_span_id" not in log["attributes"]:
-            log["attributes"]["sentry.trace.parent_span_id"] = span.span_id
+        trace_context = current_scope.get_trace_context()
+        trace_id = trace_context.get("trace_id")
+        span_id = trace_context.get("span_id")
 
-        if log.get("trace_id") is None:
-            transaction = current_scope.transaction
-            propagation_context = isolation_scope.get_active_propagation_context()
-            if transaction is not None:
-                log["trace_id"] = transaction.trace_id
-            elif propagation_context is not None:
-                log["trace_id"] = propagation_context.trace_id
+        if trace_id is not None and log.get("trace_id") is None:
+            log["trace_id"] = trace_id
+
+        if (
+            span_id is not None
+            and "sentry.trace.parent_span_id" not in log["attributes"]
+        ):
+            log["attributes"]["sentry.trace.parent_span_id"] = span_id
 
         # The user, if present, is always set on the isolation scope.
         if isolation_scope._user is not None:
@@ -981,11 +1000,19 @@ def _capture_metric(self, metric):
         if not has_metrics_enabled(self.options) or metric is None:
             return
 
+        current_scope = sentry_sdk.get_current_scope()
         isolation_scope = sentry_sdk.get_isolation_scope()
 
         metric["attributes"]["sentry.sdk.name"] = SDK_INFO["name"]
         metric["attributes"]["sentry.sdk.version"] = SDK_INFO["version"]
 
+        server_name = self.options.get("server_name")
+        if (
+            server_name is not None
+            and SPANDATA.SERVER_ADDRESS not in metric["attributes"]
+        ):
+            metric["attributes"][SPANDATA.SERVER_ADDRESS] = server_name
+
         environment = self.options.get("environment")
         if environment is not None and "sentry.environment" not in metric["attributes"]:
             metric["attributes"]["sentry.environment"] = environment
@@ -994,16 +1021,13 @@ def _capture_metric(self, metric):
         if release is not None and "sentry.release" not in metric["attributes"]:
             metric["attributes"]["sentry.release"] = release
 
-        span = sentry_sdk.get_current_span()
-        metric["trace_id"] = "00000000-0000-0000-0000-000000000000"
+        trace_context = current_scope.get_trace_context()
+        trace_id = trace_context.get("trace_id")
+        span_id = trace_context.get("span_id")
 
-        if span:
-            metric["trace_id"] = span.trace_id
-            metric["span_id"] = span.span_id
-        else:
-            propagation_context = isolation_scope.get_active_propagation_context()
-            if propagation_context and propagation_context.trace_id:
-                metric["trace_id"] = propagation_context.trace_id
+        metric["trace_id"] = trace_id or "00000000-0000-0000-0000-000000000000"
+        if span_id is not None:
+            metric["span_id"] = span_id
 
         if isolation_scope._user is not None:
             for metric_attribute, user_attribute in (
diff --git a/sentry_sdk/consts.py b/sentry_sdk/consts.py
index 33900acd50..ebc46b92b1 100644
--- a/sentry_sdk/consts.py
+++ b/sentry_sdk/consts.py
@@ -21,6 +21,7 @@ class EndpointType(Enum):
     """
 
     ENVELOPE = "envelope"
+    OTLP_TRACES = "integration/otlp/v1/traces"
 
 
 class CompressionAlgo(Enum):
@@ -464,6 +465,12 @@ class SPANDATA:
     Example: "The weather in Paris is rainy and overcast, with temperatures around 57°F"
     """
 
+    GEN_AI_EMBEDDINGS_INPUT = "gen_ai.embeddings.input"
+    """
+    The input to the embeddings operation.
+    Example: "Hello!"
+    """
+
     GEN_AI_OPERATION_NAME = "gen_ai.operation.name"
     """
     The name of the operation being performed.
@@ -706,6 +713,12 @@ class SPANDATA:
     Example: 6379
     """
 
+    NETWORK_TRANSPORT = "network.transport"
+    """
+    The transport protocol used for the network connection.
+    Example: "tcp", "udp", "unix"
+    """
+
     PROFILER_ID = "profiler_id"
     """
     Label identifying the profiler id that the span occurred in. This should be a string.
@@ -824,7 +837,7 @@ class SPANDATA:
     MCP_TRANSPORT = "mcp.transport"
     """
     The transport method used for MCP communication.
-    Example: "pipe" (stdio), "tcp" (HTTP/WebSocket/SSE)
+    Example: "http", "sse", "stdio"
     """
 
     MCP_SESSION_ID = "mcp.session.id"
@@ -1005,6 +1018,8 @@ def __init__(
         enable_logs=False,  # type: bool
         before_send_log=None,  # type: Optional[Callable[[Log, Hint], Optional[Log]]]
         trace_ignore_status_codes=frozenset(),  # type: AbstractSet[int]
+        enable_metrics=True,  # type: bool
+        before_send_metric=None,  # type: Optional[Callable[[Metric, Hint], Optional[Metric]]]
     ):
         # type: (...) -> None
         """Initialize the Sentry SDK with the given parameters. All parameters described here can be used in a call to `sentry_sdk.init()`.
@@ -1433,4 +1448,4 @@ def _get_default_options():
 del _get_default_options
 
 
-VERSION = "2.43.0"
+VERSION = "2.46.0"
diff --git a/sentry_sdk/integrations/__init__.py b/sentry_sdk/integrations/__init__.py
index 2d3d621ef7..4c286c87fe 100644
--- a/sentry_sdk/integrations/__init__.py
+++ b/sentry_sdk/integrations/__init__.py
@@ -15,6 +15,7 @@
     from typing import Set
     from typing import Type
     from typing import Union
+    from typing import Any
 
 
 _DEFAULT_FAILED_REQUEST_STATUS_CODES = frozenset(range(500, 600))
@@ -98,7 +99,10 @@ def iter_default_integrations(with_auto_enabling_integrations):
     "sentry_sdk.integrations.langgraph.LanggraphIntegration",
     "sentry_sdk.integrations.litestar.LitestarIntegration",
     "sentry_sdk.integrations.loguru.LoguruIntegration",
+    "sentry_sdk.integrations.mcp.MCPIntegration",
     "sentry_sdk.integrations.openai.OpenAIIntegration",
+    "sentry_sdk.integrations.openai_agents.OpenAIAgentsIntegration",
+    "sentry_sdk.integrations.pydantic_ai.PydanticAIIntegration",
     "sentry_sdk.integrations.pymongo.PyMongoIntegration",
     "sentry_sdk.integrations.pyramid.PyramidIntegration",
     "sentry_sdk.integrations.quart.QuartIntegration",
@@ -170,13 +174,19 @@ def iter_default_integrations(with_auto_enabling_integrations):
 }
 
 
+_INTEGRATION_DEACTIVATES = {
+    "langchain": {"openai", "anthropic"},
+}
+
+
 def setup_integrations(
-    integrations,
-    with_defaults=True,
-    with_auto_enabling_integrations=False,
-    disabled_integrations=None,
+    integrations,  # type: Sequence[Integration]
+    with_defaults=True,  # type: bool
+    with_auto_enabling_integrations=False,  # type: bool
+    disabled_integrations=None,  #  type: Optional[Sequence[Union[type[Integration], Integration]]]
+    options=None,  # type: Optional[Dict[str, Any]]
 ):
-    # type: (Sequence[Integration], bool, bool, Optional[Sequence[Union[type[Integration], Integration]]]) -> Dict[str, Integration]
+    # type: (...) -> Dict[str, Integration]
     """
     Given a list of integration instances, this installs them all.
 
@@ -185,6 +195,15 @@ def setup_integrations(
 
     `disabled_integrations` takes precedence over `with_defaults` and
     `with_auto_enabling_integrations`.
+
+    Some integrations are designed to automatically deactivate other integrations
+    in order to avoid conflicts and prevent duplicate telemetry from being collected.
+    For example, enabling the `langchain` integration will auto-deactivate both the
+    `openai` and `anthropic` integrations.
+
+    Users can override this behavior by:
+      - Explicitly providing an integration in the `integrations=[]` list, or
+      - Disabling the higher-level integration via the `disabled_integrations` option.
     """
     integrations = dict(
         (integration.identifier, integration) for integration in integrations or ()
@@ -192,6 +211,8 @@ def setup_integrations(
 
     logger.debug("Setting up integrations (with default = %s)", with_defaults)
 
+    user_provided_integrations = set(integrations.keys())
+
     # Integrations that will not be enabled
     disabled_integrations = [
         integration if isinstance(integration, type) else type(integration)
@@ -210,6 +231,27 @@ def setup_integrations(
                 integrations[instance.identifier] = instance
                 used_as_default_integration.add(instance.identifier)
 
+    disabled_integration_identifiers = {
+        integration.identifier for integration in disabled_integrations
+    }
+
+    for integration, targets_to_deactivate in _INTEGRATION_DEACTIVATES.items():
+        if (
+            integration in integrations
+            and integration not in disabled_integration_identifiers
+        ):
+            for target in targets_to_deactivate:
+                if target not in user_provided_integrations:
+                    for cls in iter_default_integrations(True):
+                        if cls.identifier == target:
+                            if cls not in disabled_integrations:
+                                disabled_integrations.append(cls)
+                                logger.debug(
+                                    "Auto-deactivating %s integration because %s integration is active",
+                                    target,
+                                    integration,
+                                )
+
     for identifier, integration in integrations.items():
         with _installer_lock:
             if identifier not in _processed_integrations:
@@ -221,6 +263,7 @@ def setup_integrations(
                     )
                     try:
                         type(integration).setup_once()
+                        integration.setup_once_with_options(options)
                     except DidNotEnable as e:
                         if identifier not in used_as_default_integration:
                             raise
@@ -300,3 +343,10 @@ def setup_once():
         instance again.
         """
         pass
+
+    def setup_once_with_options(self, options=None):
+        # type: (Optional[Dict[str, Any]]) -> None
+        """
+        Called after setup_once in rare cases on the instance and with options since we don't have those available above.
+        """
+        pass
diff --git a/sentry_sdk/integrations/anthropic.py b/sentry_sdk/integrations/anthropic.py
index e61a3556e1..e252ab2424 100644
--- a/sentry_sdk/integrations/anthropic.py
+++ b/sentry_sdk/integrations/anthropic.py
@@ -22,9 +22,14 @@
 
 try:
     try:
-        from anthropic import NOT_GIVEN
+        from anthropic import NotGiven
     except ImportError:
-        NOT_GIVEN = None
+        NotGiven = None
+
+    try:
+        from anthropic import Omit
+    except ImportError:
+        Omit = None
 
     from anthropic.resources import AsyncMessages, Messages
 
@@ -168,12 +173,13 @@ def _set_input_data(span, kwargs, integration):
     }
     for key, attribute in kwargs_keys_to_attributes.items():
         value = kwargs.get(key)
-        if value is not NOT_GIVEN and value is not None:
+
+        if value is not None and _is_given(value):
             set_data_normalized(span, attribute, value)
 
     # Input attributes: Tools
     tools = kwargs.get("tools")
-    if tools is not NOT_GIVEN and tools is not None and len(tools) > 0:
+    if tools is not None and _is_given(tools) and len(tools) > 0:
         set_data_normalized(
             span, SPANDATA.GEN_AI_REQUEST_AVAILABLE_TOOLS, safe_serialize(tools)
         )
@@ -419,3 +425,15 @@ async def _sentry_patched_create_async(*args, **kwargs):
                     span.__exit__(None, None, None)
 
     return _sentry_patched_create_async
+
+
+def _is_given(obj):
+    # type: (Any) -> bool
+    """
+    Check for givenness safely across different anthropic versions.
+    """
+    if NotGiven is not None and isinstance(obj, NotGiven):
+        return False
+    if Omit is not None and isinstance(obj, Omit):
+        return False
+    return True
diff --git a/sentry_sdk/integrations/asyncio.py b/sentry_sdk/integrations/asyncio.py
index 66742fe6e4..a652edc280 100644
--- a/sentry_sdk/integrations/asyncio.py
+++ b/sentry_sdk/integrations/asyncio.py
@@ -1,4 +1,5 @@
 import sys
+import functools
 
 import sentry_sdk
 from sentry_sdk.consts import OP
@@ -14,11 +15,13 @@
 from typing import cast, TYPE_CHECKING
 
 if TYPE_CHECKING:
-    from typing import Any
+    from typing import Any, Callable, TypeVar
     from collections.abc import Coroutine
 
     from sentry_sdk._types import ExcInfo
 
+    T = TypeVar("T", bound=Callable[..., Any])
+
 
 def get_name(coro):
     # type: (Any) -> str
@@ -29,6 +32,17 @@ def get_name(coro):
     )
 
 
+def _wrap_coroutine(wrapped):
+    # type: (Coroutine[Any, Any, Any]) -> Callable[[T], T]
+    # Only __name__ and __qualname__ are copied from function to coroutine in CPython
+    return functools.partial(
+        functools.update_wrapper,
+        wrapped=wrapped,  # type: ignore
+        assigned=("__name__", "__qualname__"),
+        updated=(),
+    )
+
+
 def patch_asyncio():
     # type: () -> None
     orig_task_factory = None
@@ -39,6 +53,7 @@ def patch_asyncio():
         def _sentry_task_factory(loop, coro, **kwargs):
             # type: (asyncio.AbstractEventLoop, Coroutine[Any, Any, Any], Any) -> asyncio.Future[Any]
 
+            @_wrap_coroutine(coro)
             async def _task_with_sentry_span_creation():
                 # type: () -> Any
                 result = None
diff --git a/sentry_sdk/integrations/langchain.py b/sentry_sdk/integrations/langchain.py
index 1f5b41bd43..1d3646f1c3 100644
--- a/sentry_sdk/integrations/langchain.py
+++ b/sentry_sdk/integrations/langchain.py
@@ -1,6 +1,9 @@
+import contextvars
 import itertools
+import warnings
 from collections import OrderedDict
 from functools import wraps
+import sys
 
 import sentry_sdk
 from sentry_sdk.ai.monitoring import set_ai_pipeline_name
@@ -60,6 +63,48 @@
         AgentExecutor = None
 
 
+# Conditional imports for embeddings providers
+try:
+    from langchain_openai import OpenAIEmbeddings  # type: ignore[import-not-found]
+except ImportError:
+    OpenAIEmbeddings = None
+
+try:
+    from langchain_openai import AzureOpenAIEmbeddings
+except ImportError:
+    AzureOpenAIEmbeddings = None
+
+try:
+    from langchain_google_vertexai import VertexAIEmbeddings  # type: ignore[import-not-found]
+except ImportError:
+    VertexAIEmbeddings = None
+
+try:
+    from langchain_aws import BedrockEmbeddings  # type: ignore[import-not-found]
+except ImportError:
+    BedrockEmbeddings = None
+
+try:
+    from langchain_cohere import CohereEmbeddings  # type: ignore[import-not-found]
+except ImportError:
+    CohereEmbeddings = None
+
+try:
+    from langchain_mistralai import MistralAIEmbeddings  # type: ignore[import-not-found]
+except ImportError:
+    MistralAIEmbeddings = None
+
+try:
+    from langchain_huggingface import HuggingFaceEmbeddings  # type: ignore[import-not-found]
+except ImportError:
+    HuggingFaceEmbeddings = None
+
+try:
+    from langchain_ollama import OllamaEmbeddings  # type: ignore[import-not-found]
+except ImportError:
+    OllamaEmbeddings = None
+
+
 DATA_FIELDS = {
     "frequency_penalty": SPANDATA.GEN_AI_REQUEST_FREQUENCY_PENALTY,
     "function_call": SPANDATA.GEN_AI_RESPONSE_TOOL_CALLS,
@@ -72,18 +117,62 @@
 }
 
 
+# Contextvar to track agent names in a stack for re-entrant agent support
+_agent_stack = contextvars.ContextVar("langchain_agent_stack", default=None)  # type: contextvars.ContextVar[Optional[List[Optional[str]]]]
+
+
+def _push_agent(agent_name):
+    # type: (Optional[str]) -> None
+    """Push an agent name onto the stack."""
+    stack = _agent_stack.get()
+    if stack is None:
+        stack = []
+    else:
+        # Copy the list to maintain contextvar isolation across async contexts
+        stack = stack.copy()
+    stack.append(agent_name)
+    _agent_stack.set(stack)
+
+
+def _pop_agent():
+    # type: () -> Optional[str]
+    """Pop an agent name from the stack and return it."""
+    stack = _agent_stack.get()
+    if stack:
+        # Copy the list to maintain contextvar isolation across async contexts
+        stack = stack.copy()
+        agent_name = stack.pop()
+        _agent_stack.set(stack)
+        return agent_name
+    return None
+
+
+def _get_current_agent():
+    # type: () -> Optional[str]
+    """Get the current agent name (top of stack) without removing it."""
+    stack = _agent_stack.get()
+    if stack:
+        return stack[-1]
+    return None
+
+
 class LangchainIntegration(Integration):
     identifier = "langchain"
     origin = f"auto.ai.{identifier}"
 
-    # The most number of spans (e.g., LLM calls) that can be processed at the same time.
-    max_spans = 1024
-
-    def __init__(self, include_prompts=True, max_spans=1024):
-        # type: (LangchainIntegration, bool, int) -> None
+    def __init__(self, include_prompts=True, max_spans=None):
+        # type: (LangchainIntegration, bool, Optional[int]) -> None
         self.include_prompts = include_prompts
         self.max_spans = max_spans
 
+        if max_spans is not None:
+            warnings.warn(
+                "The `max_spans` parameter of `LangchainIntegration` is "
+                "deprecated and will be removed in version 3.0 of sentry-sdk.",
+                DeprecationWarning,
+                stacklevel=2,
+            )
+
     @staticmethod
     def setup_once():
         # type: () -> None
@@ -93,6 +182,16 @@ def setup_once():
             AgentExecutor.invoke = _wrap_agent_executor_invoke(AgentExecutor.invoke)
             AgentExecutor.stream = _wrap_agent_executor_stream(AgentExecutor.stream)
 
+        # Patch embeddings providers
+        _patch_embeddings_provider(OpenAIEmbeddings)
+        _patch_embeddings_provider(AzureOpenAIEmbeddings)
+        _patch_embeddings_provider(VertexAIEmbeddings)
+        _patch_embeddings_provider(BedrockEmbeddings)
+        _patch_embeddings_provider(CohereEmbeddings)
+        _patch_embeddings_provider(MistralAIEmbeddings)
+        _patch_embeddings_provider(HuggingFaceEmbeddings)
+        _patch_embeddings_provider(OllamaEmbeddings)
+
 
 class WatchedSpan:
     span = None  # type: Span
@@ -108,7 +207,7 @@ class SentryLangchainCallback(BaseCallbackHandler):  # type: ignore[misc]
     """Callback handler that creates Sentry spans."""
 
     def __init__(self, max_span_map_size, include_prompts):
-        # type: (int, bool) -> None
+        # type: (Optional[int], bool) -> None
         self.span_map = OrderedDict()  # type: OrderedDict[UUID, WatchedSpan]
         self.max_span_map_size = max_span_map_size
         self.include_prompts = include_prompts
@@ -116,9 +215,10 @@ def __init__(self, max_span_map_size, include_prompts):
     def gc_span_map(self):
         # type: () -> None
 
-        while len(self.span_map) > self.max_span_map_size:
-            run_id, watched_span = self.span_map.popitem(last=False)
-            self._exit_span(watched_span, run_id)
+        if self.max_span_map_size is not None:
+            while len(self.span_map) > self.max_span_map_size:
+                run_id, watched_span = self.span_map.popitem(last=False)
+                self._exit_span(watched_span, run_id)
 
     def _handle_error(self, run_id, error):
         # type: (UUID, Any) -> None
@@ -276,6 +376,10 @@ def on_chat_model_start(self, serialized, messages, *, run_id, **kwargs):
             elif "openai" in ai_type:
                 span.set_data(SPANDATA.GEN_AI_SYSTEM, "openai")
 
+            agent_name = _get_current_agent()
+            if agent_name:
+                span.set_data(SPANDATA.GEN_AI_AGENT_NAME, agent_name)
+
             for key, attribute in DATA_FIELDS.items():
                 if key in all_params and all_params[key] is not None:
                     set_data_normalized(span, attribute, all_params[key], unpack=False)
@@ -428,6 +532,10 @@ def on_tool_start(self, serialized, input_str, *, run_id, **kwargs):
             if tool_description is not None:
                 span.set_data(SPANDATA.GEN_AI_TOOL_DESCRIPTION, tool_description)
 
+            agent_name = _get_current_agent()
+            if agent_name:
+                span.set_data(SPANDATA.GEN_AI_AGENT_NAME, agent_name)
+
             if should_send_default_pii() and self.include_prompts:
                 set_data_normalized(
                     span,
@@ -756,45 +864,50 @@ def new_invoke(self, *args, **kwargs):
             name=f"invoke_agent {agent_name}" if agent_name else "invoke_agent",
             origin=LangchainIntegration.origin,
         ) as span:
-            if agent_name:
-                span.set_data(SPANDATA.GEN_AI_AGENT_NAME, agent_name)
-
-            span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "invoke_agent")
-            span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, False)
-
-            _set_tools_on_span(span, tools)
-
-            # Run the agent
-            result = f(self, *args, **kwargs)
-
-            input = result.get("input")
-            if (
-                input is not None
-                and should_send_default_pii()
-                and integration.include_prompts
-            ):
-                normalized_messages = normalize_message_roles([input])
-                scope = sentry_sdk.get_current_scope()
-                messages_data = truncate_and_annotate_messages(
-                    normalized_messages, span, scope
-                )
-                if messages_data is not None:
-                    set_data_normalized(
-                        span,
-                        SPANDATA.GEN_AI_REQUEST_MESSAGES,
-                        messages_data,
-                        unpack=False,
+            _push_agent(agent_name)
+            try:
+                if agent_name:
+                    span.set_data(SPANDATA.GEN_AI_AGENT_NAME, agent_name)
+
+                span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "invoke_agent")
+                span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, False)
+
+                _set_tools_on_span(span, tools)
+
+                # Run the agent
+                result = f(self, *args, **kwargs)
+
+                input = result.get("input")
+                if (
+                    input is not None
+                    and should_send_default_pii()
+                    and integration.include_prompts
+                ):
+                    normalized_messages = normalize_message_roles([input])
+                    scope = sentry_sdk.get_current_scope()
+                    messages_data = truncate_and_annotate_messages(
+                        normalized_messages, span, scope
                     )
+                    if messages_data is not None:
+                        set_data_normalized(
+                            span,
+                            SPANDATA.GEN_AI_REQUEST_MESSAGES,
+                            messages_data,
+                            unpack=False,
+                        )
 
-            output = result.get("output")
-            if (
-                output is not None
-                and should_send_default_pii()
-                and integration.include_prompts
-            ):
-                set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, output)
+                output = result.get("output")
+                if (
+                    output is not None
+                    and should_send_default_pii()
+                    and integration.include_prompts
+                ):
+                    set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, output)
 
-            return result
+                return result
+            finally:
+                # Ensure agent is popped even if an exception occurs
+                _pop_agent()
 
     return new_invoke
 
@@ -814,11 +927,13 @@ def new_stream(self, *args, **kwargs):
 
         span = start_span_function(
             op=OP.GEN_AI_INVOKE_AGENT,
-            name=f"invoke_agent {agent_name}".strip(),
+            name=f"invoke_agent {agent_name}" if agent_name else "invoke_agent",
             origin=LangchainIntegration.origin,
         )
         span.__enter__()
 
+        _push_agent(agent_name)
+
         if agent_name:
             span.set_data(SPANDATA.GEN_AI_AGENT_NAME, agent_name)
 
@@ -853,41 +968,57 @@ def new_stream(self, *args, **kwargs):
 
         def new_iterator():
             # type: () -> Iterator[Any]
-            for event in old_iterator:
-                yield event
-
+            exc_info = (None, None, None)  # type: tuple[Any, Any, Any]
             try:
-                output = event.get("output")
-            except Exception:
-                output = None
-
-            if (
-                output is not None
-                and should_send_default_pii()
-                and integration.include_prompts
-            ):
-                set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, output)
+                for event in old_iterator:
+                    yield event
 
-            span.__exit__(None, None, None)
+                try:
+                    output = event.get("output")
+                except Exception:
+                    output = None
+
+                if (
+                    output is not None
+                    and should_send_default_pii()
+                    and integration.include_prompts
+                ):
+                    set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, output)
+            except Exception:
+                exc_info = sys.exc_info()
+                set_span_errored(span)
+                raise
+            finally:
+                # Ensure cleanup happens even if iterator is abandoned or fails
+                _pop_agent()
+                span.__exit__(*exc_info)
 
         async def new_iterator_async():
             # type: () -> AsyncIterator[Any]
-            async for event in old_iterator:
-                yield event
-
+            exc_info = (None, None, None)  # type: tuple[Any, Any, Any]
             try:
-                output = event.get("output")
-            except Exception:
-                output = None
-
-            if (
-                output is not None
-                and should_send_default_pii()
-                and integration.include_prompts
-            ):
-                set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, output)
+                async for event in old_iterator:
+                    yield event
 
-            span.__exit__(None, None, None)
+                try:
+                    output = event.get("output")
+                except Exception:
+                    output = None
+
+                if (
+                    output is not None
+                    and should_send_default_pii()
+                    and integration.include_prompts
+                ):
+                    set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, output)
+            except Exception:
+                exc_info = sys.exc_info()
+                set_span_errored(span)
+                raise
+            finally:
+                # Ensure cleanup happens even if iterator is abandoned or fails
+                _pop_agent()
+                span.__exit__(*exc_info)
 
         if str(type(result)) == "<class 'async_generator'>":
             result = new_iterator_async()
@@ -897,3 +1028,105 @@ async def new_iterator_async():
         return result
 
     return new_stream
+
+
+def _patch_embeddings_provider(provider_class):
+    # type: (Any) -> None
+    """Patch an embeddings provider class with monitoring wrappers."""
+    if provider_class is None:
+        return
+
+    if hasattr(provider_class, "embed_documents"):
+        provider_class.embed_documents = _wrap_embedding_method(
+            provider_class.embed_documents
+        )
+    if hasattr(provider_class, "embed_query"):
+        provider_class.embed_query = _wrap_embedding_method(provider_class.embed_query)
+    if hasattr(provider_class, "aembed_documents"):
+        provider_class.aembed_documents = _wrap_async_embedding_method(
+            provider_class.aembed_documents
+        )
+    if hasattr(provider_class, "aembed_query"):
+        provider_class.aembed_query = _wrap_async_embedding_method(
+            provider_class.aembed_query
+        )
+
+
+def _wrap_embedding_method(f):
+    # type: (Callable[..., Any]) -> Callable[..., Any]
+    """Wrap sync embedding methods (embed_documents and embed_query)."""
+
+    @wraps(f)
+    def new_embedding_method(self, *args, **kwargs):
+        # type: (Any, Any, Any) -> Any
+        integration = sentry_sdk.get_client().get_integration(LangchainIntegration)
+        if integration is None:
+            return f(self, *args, **kwargs)
+
+        model_name = getattr(self, "model", None) or getattr(self, "model_name", None)
+        with sentry_sdk.start_span(
+            op=OP.GEN_AI_EMBEDDINGS,
+            name=f"embeddings {model_name}" if model_name else "embeddings",
+            origin=LangchainIntegration.origin,
+        ) as span:
+            span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "embeddings")
+            if model_name:
+                span.set_data(SPANDATA.GEN_AI_REQUEST_MODEL, model_name)
+
+            # Capture input if PII is allowed
+            if (
+                should_send_default_pii()
+                and integration.include_prompts
+                and len(args) > 0
+            ):
+                input_data = args[0]
+                # Normalize to list format
+                texts = input_data if isinstance(input_data, list) else [input_data]
+                set_data_normalized(
+                    span, SPANDATA.GEN_AI_EMBEDDINGS_INPUT, texts, unpack=False
+                )
+
+            result = f(self, *args, **kwargs)
+            return result
+
+    return new_embedding_method
+
+
+def _wrap_async_embedding_method(f):
+    # type: (Callable[..., Any]) -> Callable[..., Any]
+    """Wrap async embedding methods (aembed_documents and aembed_query)."""
+
+    @wraps(f)
+    async def new_async_embedding_method(self, *args, **kwargs):
+        # type: (Any, Any, Any) -> Any
+        integration = sentry_sdk.get_client().get_integration(LangchainIntegration)
+        if integration is None:
+            return await f(self, *args, **kwargs)
+
+        model_name = getattr(self, "model", None) or getattr(self, "model_name", None)
+        with sentry_sdk.start_span(
+            op=OP.GEN_AI_EMBEDDINGS,
+            name=f"embeddings {model_name}" if model_name else "embeddings",
+            origin=LangchainIntegration.origin,
+        ) as span:
+            span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "embeddings")
+            if model_name:
+                span.set_data(SPANDATA.GEN_AI_REQUEST_MODEL, model_name)
+
+            # Capture input if PII is allowed
+            if (
+                should_send_default_pii()
+                and integration.include_prompts
+                and len(args) > 0
+            ):
+                input_data = args[0]
+                # Normalize to list format
+                texts = input_data if isinstance(input_data, list) else [input_data]
+                set_data_normalized(
+                    span, SPANDATA.GEN_AI_EMBEDDINGS_INPUT, texts, unpack=False
+                )
+
+            result = await f(self, *args, **kwargs)
+            return result
+
+    return new_async_embedding_method
diff --git a/sentry_sdk/integrations/litellm.py b/sentry_sdk/integrations/litellm.py
index 43661e2432..35fb1b1048 100644
--- a/sentry_sdk/integrations/litellm.py
+++ b/sentry_sdk/integrations/litellm.py
@@ -77,15 +77,40 @@ def _input_callback(kwargs):
     set_data_normalized(span, SPANDATA.GEN_AI_SYSTEM, provider)
     set_data_normalized(span, SPANDATA.GEN_AI_OPERATION_NAME, operation)
 
-    # Record messages if allowed
-    messages = kwargs.get("messages", [])
-    if messages and should_send_default_pii() and integration.include_prompts:
-        scope = sentry_sdk.get_current_scope()
-        messages_data = truncate_and_annotate_messages(messages, span, scope)
-        if messages_data is not None:
-            set_data_normalized(
-                span, SPANDATA.GEN_AI_REQUEST_MESSAGES, messages_data, unpack=False
-            )
+    # Record input/messages if allowed
+    if should_send_default_pii() and integration.include_prompts:
+        if operation == "embeddings":
+            # For embeddings, look for the 'input' parameter
+            embedding_input = kwargs.get("input")
+            if embedding_input:
+                scope = sentry_sdk.get_current_scope()
+                # Normalize to list format
+                input_list = (
+                    embedding_input
+                    if isinstance(embedding_input, list)
+                    else [embedding_input]
+                )
+                messages_data = truncate_and_annotate_messages(input_list, span, scope)
+                if messages_data is not None:
+                    set_data_normalized(
+                        span,
+                        SPANDATA.GEN_AI_EMBEDDINGS_INPUT,
+                        messages_data,
+                        unpack=False,
+                    )
+        else:
+            # For chat, look for the 'messages' parameter
+            messages = kwargs.get("messages", [])
+            if messages:
+                scope = sentry_sdk.get_current_scope()
+                messages_data = truncate_and_annotate_messages(messages, span, scope)
+                if messages_data is not None:
+                    set_data_normalized(
+                        span,
+                        SPANDATA.GEN_AI_REQUEST_MESSAGES,
+                        messages_data,
+                        unpack=False,
+                    )
 
     # Record other parameters
     params = {
diff --git a/sentry_sdk/integrations/logging.py b/sentry_sdk/integrations/logging.py
index 7e16943b28..9c68596be8 100644
--- a/sentry_sdk/integrations/logging.py
+++ b/sentry_sdk/integrations/logging.py
@@ -358,7 +358,7 @@ def _capture_log_from_record(self, client, record):
         project_root = client.options["project_root"]
 
         attrs = self._extra_from_record(record)  # type: Any
-        attrs["sentry.origin"] = "auto.logger.log"
+        attrs["sentry.origin"] = "auto.log.stdlib"
 
         parameters_set = False
         if record.args is not None:
diff --git a/sentry_sdk/integrations/loguru.py b/sentry_sdk/integrations/loguru.py
index 2c0279d0ce..96d2b6a7ae 100644
--- a/sentry_sdk/integrations/loguru.py
+++ b/sentry_sdk/integrations/loguru.py
@@ -8,7 +8,7 @@
     _BaseHandler,
 )
 from sentry_sdk.logger import _log_level_to_otel
-from sentry_sdk.utils import has_logs_enabled
+from sentry_sdk.utils import has_logs_enabled, safe_repr
 
 from typing import TYPE_CHECKING
 
@@ -167,7 +167,7 @@ def loguru_sentry_logs_handler(message):
         record["level"].no, SEVERITY_TO_OTEL_SEVERITY
     )
 
-    attrs = {"sentry.origin": "auto.logger.loguru"}  # type: dict[str, Any]
+    attrs = {"sentry.origin": "auto.log.loguru"}  # type: dict[str, Any]
 
     project_root = client.options["project_root"]
     if record.get("file"):
@@ -193,6 +193,14 @@ def loguru_sentry_logs_handler(message):
     if record.get("name"):
         attrs["logger.name"] = record["name"]
 
+    extra = record.get("extra")
+    if isinstance(extra, dict):
+        for key, value in extra.items():
+            if isinstance(value, (str, int, float, bool)):
+                attrs[f"sentry.message.parameter.{key}"] = value
+            else:
+                attrs[f"sentry.message.parameter.{key}"] = safe_repr(value)
+
     client._capture_log(
         {
             "severity_text": otel_severity_text,
diff --git a/sentry_sdk/integrations/mcp.py b/sentry_sdk/integrations/mcp.py
index 2a2d440616..7b72aa4763 100644
--- a/sentry_sdk/integrations/mcp.py
+++ b/sentry_sdk/integrations/mcp.py
@@ -56,17 +56,17 @@ def setup_once():
 def _get_request_context_data():
     # type: () -> tuple[Optional[str], Optional[str], str]
     """
-    Extract request ID, session ID, and transport type from the MCP request context.
+    Extract request ID, session ID, and MCP transport type from the request context.
 
     Returns:
-        Tuple of (request_id, session_id, transport).
+        Tuple of (request_id, session_id, mcp_transport).
         - request_id: May be None if not available
         - session_id: May be None if not available
-        - transport: "tcp" for HTTP-based, "pipe" for stdio
+        - mcp_transport: "http", "sse", "stdio"
     """
     request_id = None  # type: Optional[str]
     session_id = None  # type: Optional[str]
-    transport = "pipe"  # type: str
+    mcp_transport = "stdio"  # type: str
 
     try:
         ctx = request_ctx.get()
@@ -74,16 +74,26 @@ def _get_request_context_data():
         if ctx is not None:
             request_id = ctx.request_id
             if hasattr(ctx, "request") and ctx.request is not None:
-                transport = "tcp"
                 request = ctx.request
-                if hasattr(request, "headers"):
+                # Detect transport type by checking request characteristics
+                if hasattr(request, "query_params") and request.query_params.get(
+                    "session_id"
+                ):
+                    # SSE transport uses query parameter
+                    mcp_transport = "sse"
+                    session_id = request.query_params.get("session_id")
+                elif hasattr(request, "headers") and request.headers.get(
+                    "mcp-session-id"
+                ):
+                    # StreamableHTTP transport uses header
+                    mcp_transport = "http"
                     session_id = request.headers.get("mcp-session-id")
 
     except LookupError:
-        # No request context available - default to pipe
+        # No request context available - default to stdio
         pass
 
-    return request_id, session_id, transport
+    return request_id, session_id, mcp_transport
 
 
 def _get_span_config(handler_type, item_name):
@@ -120,16 +130,20 @@ def _set_span_input_data(
     arguments,
     request_id,
     session_id,
-    transport,
+    mcp_transport,
 ):
     # type: (Any, str, str, str, dict[str, Any], Optional[str], Optional[str], str) -> None
     """Set input span data for MCP handlers."""
+
     # Set handler identifier
     span.set_data(span_data_key, handler_name)
     span.set_data(SPANDATA.MCP_METHOD_NAME, mcp_method_name)
 
-    # Set transport type
-    span.set_data(SPANDATA.MCP_TRANSPORT, transport)
+    # Set transport/MCP transport type
+    span.set_data(
+        SPANDATA.NETWORK_TRANSPORT, "pipe" if mcp_transport == "stdio" else "tcp"
+    )
+    span.set_data(SPANDATA.MCP_TRANSPORT, mcp_transport)
 
     # Set request_id if provided
     if request_id:
@@ -331,7 +345,7 @@ async def _async_handler_wrapper(handler_type, func, original_args):
         origin=MCPIntegration.origin,
     ) as span:
         # Get request ID, session ID, and transport from context
-        request_id, session_id, transport = _get_request_context_data()
+        request_id, session_id, mcp_transport = _get_request_context_data()
 
         # Set input span data
         _set_span_input_data(
@@ -342,7 +356,7 @@ async def _async_handler_wrapper(handler_type, func, original_args):
             arguments,
             request_id,
             session_id,
-            transport,
+            mcp_transport,
         )
 
         # For resources, extract and set protocol
@@ -396,7 +410,7 @@ def _sync_handler_wrapper(handler_type, func, original_args):
         origin=MCPIntegration.origin,
     ) as span:
         # Get request ID, session ID, and transport from context
-        request_id, session_id, transport = _get_request_context_data()
+        request_id, session_id, mcp_transport = _get_request_context_data()
 
         # Set input span data
         _set_span_input_data(
@@ -407,7 +421,7 @@ def _sync_handler_wrapper(handler_type, func, original_args):
             arguments,
             request_id,
             session_id,
-            transport,
+            mcp_transport,
         )
 
         # For resources, extract and set protocol
diff --git a/sentry_sdk/integrations/openai.py b/sentry_sdk/integrations/openai.py
index bb93341f35..40064e5c72 100644
--- a/sentry_sdk/integrations/openai.py
+++ b/sentry_sdk/integrations/openai.py
@@ -195,9 +195,15 @@ def _set_input_data(span, kwargs, operation, integration):
         scope = sentry_sdk.get_current_scope()
         messages_data = truncate_and_annotate_messages(normalized_messages, span, scope)
         if messages_data is not None:
-            set_data_normalized(
-                span, SPANDATA.GEN_AI_REQUEST_MESSAGES, messages_data, unpack=False
-            )
+            # Use appropriate field based on operation type
+            if operation == "embeddings":
+                set_data_normalized(
+                    span, SPANDATA.GEN_AI_EMBEDDINGS_INPUT, messages_data, unpack=False
+                )
+            else:
+                set_data_normalized(
+                    span, SPANDATA.GEN_AI_REQUEST_MESSAGES, messages_data, unpack=False
+                )
 
     # Input attributes: Common
     set_data_normalized(span, SPANDATA.GEN_AI_SYSTEM, "openai")
@@ -243,7 +249,11 @@ def _set_output_data(span, response, kwargs, integration, finish_span=True):
 
     if hasattr(response, "choices"):
         if should_send_default_pii() and integration.include_prompts:
-            response_text = [choice.message.model_dump() for choice in response.choices]
+            response_text = [
+                choice.message.model_dump()
+                for choice in response.choices
+                if choice.message is not None
+            ]
             if len(response_text) > 0:
                 set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, response_text)
 
diff --git a/sentry_sdk/integrations/openai_agents/__init__.py b/sentry_sdk/integrations/openai_agents/__init__.py
index 7e2dee0f66..1f138b5e65 100644
--- a/sentry_sdk/integrations/openai_agents/__init__.py
+++ b/sentry_sdk/integrations/openai_agents/__init__.py
@@ -9,7 +9,13 @@
 )
 
 try:
+    # "agents" is too generic. If someone has an agents.py file in their project
+    # or another package that's importable via "agents", no ImportError would not
+    # be thrown and the integration would enable itself even if openai-agents is
+    # 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
 
 except ImportError:
     raise DidNotEnable("OpenAI Agents not installed")
diff --git a/sentry_sdk/integrations/openai_agents/spans/ai_client.py b/sentry_sdk/integrations/openai_agents/spans/ai_client.py
index 88b403ba85..e424e93888 100644
--- a/sentry_sdk/integrations/openai_agents/spans/ai_client.py
+++ b/sentry_sdk/integrations/openai_agents/spans/ai_client.py
@@ -30,6 +30,7 @@ def ai_client_span(agent, get_response_kwargs):
     span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "chat")
 
     _set_agent_data(span, agent)
+    _set_input_data(span, get_response_kwargs)
 
     return span
 
@@ -37,6 +38,5 @@ def ai_client_span(agent, get_response_kwargs):
 def update_ai_client_span(span, agent, get_response_kwargs, result):
     # type: (sentry_sdk.tracing.Span, Agent, dict[str, Any], Any) -> None
     _set_usage_data(span, result.usage)
-    _set_input_data(span, get_response_kwargs)
     _set_output_data(span, result)
     _create_mcp_execute_tool_spans(span, result)
diff --git a/sentry_sdk/integrations/otlp.py b/sentry_sdk/integrations/otlp.py
new file mode 100644
index 0000000000..7fa705b832
--- /dev/null
+++ b/sentry_sdk/integrations/otlp.py
@@ -0,0 +1,82 @@
+from sentry_sdk.integrations import Integration, DidNotEnable
+from sentry_sdk.scope import register_external_propagation_context
+from sentry_sdk.utils import logger, Dsn
+from sentry_sdk.consts import VERSION, EndpointType
+
+try:
+    from opentelemetry import trace
+    from opentelemetry.propagate import set_global_textmap
+    from opentelemetry.sdk.trace import TracerProvider
+    from opentelemetry.sdk.trace.export import BatchSpanProcessor
+    from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
+
+    from sentry_sdk.integrations.opentelemetry.propagator import SentryPropagator
+except ImportError:
+    raise DidNotEnable("opentelemetry-distro[otlp] is not installed")
+
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from typing import Optional, Dict, Any, Tuple
+
+
+def otel_propagation_context():
+    # type: () -> Optional[Tuple[str, str]]
+    """
+    Get the (trace_id, span_id) from opentelemetry if exists.
+    """
+    ctx = trace.get_current_span().get_span_context()
+
+    if ctx.trace_id == trace.INVALID_TRACE_ID or ctx.span_id == trace.INVALID_SPAN_ID:
+        return None
+
+    return (trace.format_trace_id(ctx.trace_id), trace.format_span_id(ctx.span_id))
+
+
+def setup_otlp_exporter(dsn=None):
+    # type: (Optional[str]) -> None
+    tracer_provider = trace.get_tracer_provider()
+
+    if not isinstance(tracer_provider, TracerProvider):
+        logger.debug("[OTLP] No TracerProvider configured by user, creating a new one")
+        tracer_provider = TracerProvider()
+        trace.set_tracer_provider(tracer_provider)
+
+    endpoint = None
+    headers = None
+    if dsn:
+        auth = Dsn(dsn).to_auth(f"sentry.python/{VERSION}")
+        endpoint = auth.get_api_url(EndpointType.OTLP_TRACES)
+        headers = {"X-Sentry-Auth": auth.to_header()}
+        logger.debug(f"[OTLP] Sending traces to {endpoint}")
+
+    otlp_exporter = OTLPSpanExporter(endpoint=endpoint, headers=headers)
+    span_processor = BatchSpanProcessor(otlp_exporter)
+    tracer_provider.add_span_processor(span_processor)
+
+
+class OTLPIntegration(Integration):
+    identifier = "otlp"
+
+    def __init__(self, setup_otlp_exporter=True, setup_propagator=True):
+        # type: (bool, bool) -> None
+        self.setup_otlp_exporter = setup_otlp_exporter
+        self.setup_propagator = setup_propagator
+
+    @staticmethod
+    def setup_once():
+        # type: () -> None
+        logger.debug("[OTLP] Setting up trace linking for all events")
+        register_external_propagation_context(otel_propagation_context)
+
+    def setup_once_with_options(self, options=None):
+        # type: (Optional[Dict[str, Any]]) -> None
+        if self.setup_otlp_exporter:
+            logger.debug("[OTLP] Setting up OTLP exporter")
+            dsn = options.get("dsn") if options else None  # type: Optional[str]
+            setup_otlp_exporter(dsn)
+
+        if self.setup_propagator:
+            logger.debug("[OTLP] Setting up propagator for distributed tracing")
+            # TODO-neel better propagator support, chain with existing ones if possible instead of replacing
+            set_global_textmap(SentryPropagator())
diff --git a/sentry_sdk/integrations/pydantic_ai/patches/agent_run.py b/sentry_sdk/integrations/pydantic_ai/patches/agent_run.py
index 7c403c7ba3..daa2da112c 100644
--- a/sentry_sdk/integrations/pydantic_ai/patches/agent_run.py
+++ b/sentry_sdk/integrations/pydantic_ai/patches/agent_run.py
@@ -1,30 +1,22 @@
 from functools import wraps
 
 import sentry_sdk
-from sentry_sdk.tracing_utils import set_span_errored
-from sentry_sdk.utils import event_from_exception
+from sentry_sdk.integrations import DidNotEnable
 
 from ..spans import invoke_agent_span, update_invoke_agent_span
+from ..utils import _capture_exception, pop_agent, push_agent
 
 from typing import TYPE_CHECKING
-from pydantic_ai.agent import Agent  # type: ignore
+
+try:
+    from pydantic_ai.agent import Agent  # type: ignore
+except ImportError:
+    raise DidNotEnable("pydantic-ai not installed")
 
 if TYPE_CHECKING:
     from typing import Any, Callable, Optional
 
 
-def _capture_exception(exc):
-    # type: (Any) -> None
-    set_span_errored()
-
-    event, hint = event_from_exception(
-        exc,
-        client_options=sentry_sdk.get_client().options,
-        mechanism={"type": "pydantic_ai", "handled": False},
-    )
-    sentry_sdk.capture_event(event, hint=hint)
-
-
 class _StreamingContextManagerWrapper:
     """Wrapper for streaming methods that return async context managers."""
 
@@ -54,17 +46,20 @@ async def __aenter__(self):
         self._isolation_scope = sentry_sdk.isolation_scope()
         self._isolation_scope.__enter__()
 
-        # Store agent reference and streaming flag
-        sentry_sdk.get_current_scope().set_context(
-            "pydantic_ai_agent", {"_agent": self.agent, "_streaming": self.is_streaming}
-        )
-
         # Create invoke_agent span (will be closed in __aexit__)
         self._span = invoke_agent_span(
-            self.user_prompt, self.agent, self.model, self.model_settings
+            self.user_prompt,
+            self.agent,
+            self.model,
+            self.model_settings,
+            self.is_streaming,
         )
         self._span.__enter__()
 
+        # Push agent to contextvar stack after span is successfully created and entered
+        # This ensures proper pairing with pop_agent() in __aexit__ even if exceptions occur
+        push_agent(self.agent, self.is_streaming)
+
         # Enter the original context manager
         result = await self.original_ctx_manager.__aenter__()
         self._result = result
@@ -84,7 +79,9 @@ async def __aexit__(self, exc_type, exc_val, exc_tb):
                 if self._span is not None:
                     update_invoke_agent_span(self._span, output)
         finally:
-            sentry_sdk.get_current_scope().remove_context("pydantic_ai_agent")
+            # Pop agent from contextvar stack
+            pop_agent()
+
             # Clean up invoke span
             if self._span:
                 self._span.__exit__(exc_type, exc_val, exc_tb)
@@ -110,19 +107,19 @@ async def wrapper(self, *args, **kwargs):
         # Isolate each workflow so that when agents are run in asyncio tasks they
         # don't touch each other's scopes
         with sentry_sdk.isolation_scope():
-            # Store agent reference and streaming flag in Sentry scope for access in nested spans
-            # We store the full agent to allow access to tools and system prompts
-            sentry_sdk.get_current_scope().set_context(
-                "pydantic_ai_agent", {"_agent": self, "_streaming": is_streaming}
-            )
-
             # Extract parameters for the span
             user_prompt = kwargs.get("user_prompt") or (args[0] if args else None)
             model = kwargs.get("model")
             model_settings = kwargs.get("model_settings")
 
             # Create invoke_agent span
-            with invoke_agent_span(user_prompt, self, model, model_settings) as span:
+            with invoke_agent_span(
+                user_prompt, self, model, model_settings, is_streaming
+            ) as span:
+                # Push agent to contextvar stack after span is successfully created and entered
+                # This ensures proper pairing with pop_agent() in finally even if exceptions occur
+                push_agent(self, is_streaming)
+
                 try:
                     result = await original_func(self, *args, **kwargs)
 
@@ -135,7 +132,8 @@ async def wrapper(self, *args, **kwargs):
                     _capture_exception(exc)
                     raise exc from None
                 finally:
-                    sentry_sdk.get_current_scope().remove_context("pydantic_ai_agent")
+                    # Pop agent from contextvar stack
+                    pop_agent()
 
     return wrapper
 
diff --git a/sentry_sdk/integrations/pydantic_ai/patches/graph_nodes.py b/sentry_sdk/integrations/pydantic_ai/patches/graph_nodes.py
index e10770d357..6de4c3e80a 100644
--- a/sentry_sdk/integrations/pydantic_ai/patches/graph_nodes.py
+++ b/sentry_sdk/integrations/pydantic_ai/patches/graph_nodes.py
@@ -2,12 +2,17 @@
 from functools import wraps
 
 import sentry_sdk
+from sentry_sdk.integrations import DidNotEnable
 
 from ..spans import (
     ai_client_span,
     update_ai_client_span,
 )
-from pydantic_ai._agent_graph import ModelRequestNode  # type: ignore
+
+try:
+    from pydantic_ai._agent_graph import ModelRequestNode  # type: ignore
+except ImportError:
+    raise DidNotEnable("pydantic-ai not installed")
 
 from typing import TYPE_CHECKING
 
diff --git a/sentry_sdk/integrations/pydantic_ai/patches/model_request.py b/sentry_sdk/integrations/pydantic_ai/patches/model_request.py
index f4676654cd..f33a031b07 100644
--- a/sentry_sdk/integrations/pydantic_ai/patches/model_request.py
+++ b/sentry_sdk/integrations/pydantic_ai/patches/model_request.py
@@ -1,7 +1,12 @@
 from functools import wraps
 from typing import TYPE_CHECKING
 
-from pydantic_ai import models  # type: ignore
+from sentry_sdk.integrations import DidNotEnable
+
+try:
+    from pydantic_ai import models  # type: ignore
+except ImportError:
+    raise DidNotEnable("pydantic-ai not installed")
 
 from ..spans import ai_client_span, update_ai_client_span
 
diff --git a/sentry_sdk/integrations/pydantic_ai/patches/tools.py b/sentry_sdk/integrations/pydantic_ai/patches/tools.py
index 41708c1be9..e3872a5bbc 100644
--- a/sentry_sdk/integrations/pydantic_ai/patches/tools.py
+++ b/sentry_sdk/integrations/pydantic_ai/patches/tools.py
@@ -1,10 +1,13 @@
 from functools import wraps
 
-from pydantic_ai._tool_manager import ToolManager  # type: ignore
-
+from sentry_sdk.integrations import DidNotEnable
 import sentry_sdk
 
 from ..spans import execute_tool_span, update_execute_tool_span
+from ..utils import (
+    _capture_exception,
+    get_current_agent,
+)
 
 from typing import TYPE_CHECKING
 
@@ -18,6 +21,11 @@
 except ImportError:
     HAS_MCP = False
 
+try:
+    from pydantic_ai._tool_manager import ToolManager  # type: ignore
+except ImportError:
+    raise DidNotEnable("pydantic-ai not installed")
+
 
 def _patch_tool_execution():
     # type: () -> None
@@ -36,8 +44,8 @@ def _patch_tool_execution():
     original_call_tool = ToolManager._call_tool
 
     @wraps(original_call_tool)
-    async def wrapped_call_tool(self, call, allow_partial, wrap_validation_errors):
-        # type: (Any, Any, bool, bool) -> Any
+    async def wrapped_call_tool(self, call, *args, **kwargs):
+        # type: (Any, Any, *Any, **Any) -> Any
 
         # Extract tool info before calling original
         name = call.tool_name
@@ -48,28 +56,43 @@ async def wrapped_call_tool(self, call, allow_partial, wrap_validation_errors):
         if tool and HAS_MCP and isinstance(tool.toolset, MCPServer):
             tool_type = "mcp"
 
-        # Get agent from Sentry scope
-        current_span = sentry_sdk.get_current_span()
-        if current_span and tool:
-            agent_data = (
-                sentry_sdk.get_current_scope()._contexts.get("pydantic_ai_agent") or {}
-            )
-            agent = agent_data.get("_agent")
-
-            # Get args for span (before validation)
-            # call.args can be a string (JSON) or dict
-            args_dict = call.args if isinstance(call.args, dict) else {}
-
-            with execute_tool_span(name, args_dict, agent, tool_type=tool_type) as span:
-                result = await original_call_tool(
-                    self, call, allow_partial, wrap_validation_errors
-                )
-                update_execute_tool_span(span, result)
-                return result
+        # Get agent from contextvar
+        agent = get_current_agent()
+
+        if agent and tool:
+            try:
+                args_dict = call.args_as_dict()
+            except Exception:
+                args_dict = call.args if isinstance(call.args, dict) else {}
+
+            # Create execute_tool span
+            # Nesting is handled by isolation_scope() to ensure proper parent-child relationships
+            with sentry_sdk.isolation_scope():
+                with execute_tool_span(
+                    name,
+                    args_dict,
+                    agent,
+                    tool_type=tool_type,
+                ) as span:
+                    try:
+                        result = await original_call_tool(
+                            self,
+                            call,
+                            *args,
+                            **kwargs,
+                        )
+                        update_execute_tool_span(span, result)
+                        return result
+                    except Exception as exc:
+                        _capture_exception(exc)
+                        raise exc from None
 
         # No span context - just call original
         return await original_call_tool(
-            self, call, allow_partial, wrap_validation_errors
+            self,
+            call,
+            *args,
+            **kwargs,
         )
 
     ToolManager._call_tool = wrapped_call_tool
diff --git a/sentry_sdk/integrations/pydantic_ai/spans/ai_client.py b/sentry_sdk/integrations/pydantic_ai/spans/ai_client.py
index 735e814acd..a2bd0272d4 100644
--- a/sentry_sdk/integrations/pydantic_ai/spans/ai_client.py
+++ b/sentry_sdk/integrations/pydantic_ai/spans/ai_client.py
@@ -10,6 +10,8 @@
     _set_model_data,
     _should_send_prompts,
     _get_model_name,
+    get_current_agent,
+    get_is_streaming,
 )
 
 from typing import TYPE_CHECKING
@@ -216,20 +218,11 @@ def ai_client_span(messages, agent, model, model_settings):
     _set_agent_data(span, agent)
     _set_model_data(span, model, model_settings)
 
-    # Set streaming flag
-    agent_data = sentry_sdk.get_current_scope()._contexts.get("pydantic_ai_agent") or {}
-    is_streaming = agent_data.get("_streaming", False)
-    span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, is_streaming)
+    # Set streaming flag from contextvar
+    span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, get_is_streaming())
 
     # Add available tools if agent is available
-    agent_obj = agent
-    if not agent_obj:
-        # Try to get from Sentry scope
-        agent_data = (
-            sentry_sdk.get_current_scope()._contexts.get("pydantic_ai_agent") or {}
-        )
-        agent_obj = agent_data.get("_agent")
-
+    agent_obj = agent or get_current_agent()
     _set_available_tools(span, agent_obj)
 
     # Set input messages (full conversation history)
diff --git a/sentry_sdk/integrations/pydantic_ai/spans/execute_tool.py b/sentry_sdk/integrations/pydantic_ai/spans/execute_tool.py
index 2094c53a40..329895778d 100644
--- a/sentry_sdk/integrations/pydantic_ai/spans/execute_tool.py
+++ b/sentry_sdk/integrations/pydantic_ai/spans/execute_tool.py
@@ -8,7 +8,7 @@
 from typing import TYPE_CHECKING
 
 if TYPE_CHECKING:
-    from typing import Any
+    from typing import Any, Optional
 
 
 def execute_tool_span(tool_name, tool_args, agent, tool_type="function"):
diff --git a/sentry_sdk/integrations/pydantic_ai/spans/invoke_agent.py b/sentry_sdk/integrations/pydantic_ai/spans/invoke_agent.py
index d6fb86918c..f5e22fb346 100644
--- a/sentry_sdk/integrations/pydantic_ai/spans/invoke_agent.py
+++ b/sentry_sdk/integrations/pydantic_ai/spans/invoke_agent.py
@@ -16,8 +16,8 @@
     from typing import Any
 
 
-def invoke_agent_span(user_prompt, agent, model, model_settings):
-    # type: (Any, Any, Any, Any) -> sentry_sdk.tracing.Span
+def invoke_agent_span(user_prompt, agent, model, model_settings, is_streaming=False):
+    # type: (Any, Any, Any, Any, bool) -> sentry_sdk.tracing.Span
     """Create a span for invoking the agent."""
     # Determine agent name for span
     name = "agent"
diff --git a/sentry_sdk/integrations/pydantic_ai/utils.py b/sentry_sdk/integrations/pydantic_ai/utils.py
index 3f58869857..532fb7ddb6 100644
--- a/sentry_sdk/integrations/pydantic_ai/utils.py
+++ b/sentry_sdk/integrations/pydantic_ai/utils.py
@@ -1,14 +1,54 @@
 import sentry_sdk
-from sentry_sdk.ai.utils import set_data_normalized
+from contextvars import ContextVar
 from sentry_sdk.consts import SPANDATA
 from sentry_sdk.scope import should_send_default_pii
-from sentry_sdk.utils import safe_serialize
+from sentry_sdk.tracing_utils import set_span_errored
+from sentry_sdk.utils import event_from_exception, safe_serialize
 
 from typing import TYPE_CHECKING
 
 if TYPE_CHECKING:
-    from typing import Any, List, Dict
-    from pydantic_ai.usage import RequestUsage  # type: ignore
+    from typing import Any, Optional
+
+
+# Store the current agent context in a contextvar for re-entrant safety
+# Using a list as a stack to support nested agent calls
+_agent_context_stack = ContextVar("pydantic_ai_agent_context_stack", default=[])  # type: ContextVar[list[dict[str, Any]]]
+
+
+def push_agent(agent, is_streaming=False):
+    # type: (Any, bool) -> None
+    """Push an agent context onto the stack along with its streaming flag."""
+    stack = _agent_context_stack.get().copy()
+    stack.append({"agent": agent, "is_streaming": is_streaming})
+    _agent_context_stack.set(stack)
+
+
+def pop_agent():
+    # type: () -> None
+    """Pop an agent context from the stack."""
+    stack = _agent_context_stack.get().copy()
+    if stack:
+        stack.pop()
+    _agent_context_stack.set(stack)
+
+
+def get_current_agent():
+    # type: () -> Any
+    """Get the current agent from the contextvar stack."""
+    stack = _agent_context_stack.get()
+    if stack:
+        return stack[-1]["agent"]
+    return None
+
+
+def get_is_streaming():
+    # type: () -> bool
+    """Get the streaming flag from the contextvar stack."""
+    stack = _agent_context_stack.get()
+    if stack:
+        return stack[-1].get("is_streaming", False)
+    return False
 
 
 def _should_send_prompts():
@@ -38,23 +78,20 @@ def _set_agent_data(span, agent):
 
     Args:
         span: The span to set data on
-        agent: Agent object (can be None, will try to get from Sentry scope if not provided)
+        agent: Agent object (can be None, will try to get from contextvar if not provided)
     """
-    # Extract agent name from agent object or Sentry scope
+    # Extract agent name from agent object or contextvar
     agent_obj = agent
     if not agent_obj:
-        # Try to get from Sentry scope
-        agent_data = (
-            sentry_sdk.get_current_scope()._contexts.get("pydantic_ai_agent") or {}
-        )
-        agent_obj = agent_data.get("_agent")
+        # Try to get from contextvar
+        agent_obj = get_current_agent()
 
     if agent_obj and hasattr(agent_obj, "name") and agent_obj.name:
         span.set_data(SPANDATA.GEN_AI_AGENT_NAME, agent_obj.name)
 
 
 def _get_model_name(model_obj):
-    # type: (Any) -> str | None
+    # type: (Any) -> Optional[str]
     """Extract model name from a model object.
 
     Args:
@@ -88,9 +125,8 @@ def _set_model_data(span, model, model_settings):
         model: Model object (can be None, will try to get from agent if not provided)
         model_settings: Model settings (can be None, will try to get from agent if not provided)
     """
-    # Try to get agent from Sentry scope if we need it
-    agent_data = sentry_sdk.get_current_scope()._contexts.get("pydantic_ai_agent") or {}
-    agent_obj = agent_data.get("_agent")
+    # Try to get agent from contextvar if we need it
+    agent_obj = get_current_agent()
 
     # Extract model information
     model_obj = model
@@ -173,3 +209,15 @@ def _set_available_tools(span, agent):
     except Exception:
         # If we can't extract tools, just skip it
         pass
+
+
+def _capture_exception(exc):
+    # type: (Any) -> None
+    set_span_errored()
+
+    event, hint = event_from_exception(
+        exc,
+        client_options=sentry_sdk.get_client().options,
+        mechanism={"type": "pydantic_ai", "handled": False},
+    )
+    sentry_sdk.capture_event(event, hint=hint)
diff --git a/sentry_sdk/integrations/redis/__init__.py b/sentry_sdk/integrations/redis/__init__.py
index f443138295..9595794e74 100644
--- a/sentry_sdk/integrations/redis/__init__.py
+++ b/sentry_sdk/integrations/redis/__init__.py
@@ -1,3 +1,5 @@
+import warnings
+
 from sentry_sdk.integrations import Integration, DidNotEnable
 from sentry_sdk.integrations.redis.consts import _DEFAULT_MAX_DATA_SIZE
 from sentry_sdk.integrations.redis.rb import _patch_rb
@@ -16,10 +18,18 @@ class RedisIntegration(Integration):
     identifier = "redis"
 
     def __init__(self, max_data_size=_DEFAULT_MAX_DATA_SIZE, cache_prefixes=None):
-        # type: (int, Optional[list[str]]) -> None
+        # type: (Optional[int], Optional[list[str]]) -> None
         self.max_data_size = max_data_size
         self.cache_prefixes = cache_prefixes if cache_prefixes is not None else []
 
+        if max_data_size is not None:
+            warnings.warn(
+                "The `max_data_size` parameter of `RedisIntegration` is "
+                "deprecated and will be removed in version 3.0 of sentry-sdk.",
+                DeprecationWarning,
+                stacklevel=2,
+            )
+
     @staticmethod
     def setup_once():
         # type: () -> None
diff --git a/sentry_sdk/integrations/redis/consts.py b/sentry_sdk/integrations/redis/consts.py
index 737e829735..0822c2c930 100644
--- a/sentry_sdk/integrations/redis/consts.py
+++ b/sentry_sdk/integrations/redis/consts.py
@@ -16,4 +16,4 @@
 ]
 _MAX_NUM_ARGS = 10  # Trim argument lists to this many values
 _MAX_NUM_COMMANDS = 10  # Trim command lists to this many values
-_DEFAULT_MAX_DATA_SIZE = 1024
+_DEFAULT_MAX_DATA_SIZE = None
diff --git a/sentry_sdk/integrations/redis/modules/caches.py b/sentry_sdk/integrations/redis/modules/caches.py
index c6fc19f5b2..07b418ad0d 100644
--- a/sentry_sdk/integrations/redis/modules/caches.py
+++ b/sentry_sdk/integrations/redis/modules/caches.py
@@ -66,10 +66,7 @@ def _get_cache_span_description(redis_command, args, kwargs, integration):
     # type: (str, tuple[Any, ...], dict[str, Any], RedisIntegration) -> str
     description = _key_as_string(_get_safe_key(redis_command, args, kwargs))
 
-    data_should_be_truncated = (
-        integration.max_data_size and len(description) > integration.max_data_size
-    )
-    if data_should_be_truncated:
+    if integration.max_data_size and len(description) > integration.max_data_size:
         description = description[: integration.max_data_size - len("...")] + "..."
 
     return description
diff --git a/sentry_sdk/integrations/redis/modules/queries.py b/sentry_sdk/integrations/redis/modules/queries.py
index e0d85a4ef7..a4229a4d5d 100644
--- a/sentry_sdk/integrations/redis/modules/queries.py
+++ b/sentry_sdk/integrations/redis/modules/queries.py
@@ -34,10 +34,7 @@ def _get_db_span_description(integration, command_name, args):
     with capture_internal_exceptions():
         description = _get_safe_command(command_name, args)
 
-    data_should_be_truncated = (
-        integration.max_data_size and len(description) > integration.max_data_size
-    )
-    if data_should_be_truncated:
+    if integration.max_data_size and len(description) > integration.max_data_size:
         description = description[: integration.max_data_size - len("...")] + "..."
 
     return description
diff --git a/sentry_sdk/scope.py b/sentry_sdk/scope.py
index ecb8f370c5..8e55add770 100644
--- a/sentry_sdk/scope.py
+++ b/sentry_sdk/scope.py
@@ -107,6 +107,10 @@
 
 global_event_processors = []  # type: List[EventProcessor]
 
+# A function returning a (trace_id, span_id) tuple
+# from an external tracing source (such as otel)
+_external_propagation_context_fn = None  # type: Optional[Callable[[], Optional[Tuple[str, str]]]]
+
 
 class ScopeType(Enum):
     CURRENT = "current"
@@ -142,6 +146,25 @@ def add_global_event_processor(processor):
     global_event_processors.append(processor)
 
 
+def register_external_propagation_context(fn):
+    # type: (Callable[[], Optional[Tuple[str, str]]]) -> None
+    global _external_propagation_context_fn
+    _external_propagation_context_fn = fn
+
+
+def remove_external_propagation_context():
+    # type: () -> None
+    global _external_propagation_context_fn
+    _external_propagation_context_fn = None
+
+
+def get_external_propagation_context():
+    # type: () -> Optional[Tuple[str, str]]
+    return (
+        _external_propagation_context_fn() if _external_propagation_context_fn else None
+    )
+
+
 def _attr_setter(fn):
     # type: (Any) -> Any
     return property(fset=fn, doc=fn.__doc__)
@@ -562,21 +585,29 @@ def get_baggage(self, *args, **kwargs):
         return self.get_isolation_scope().get_baggage()
 
     def get_trace_context(self):
-        # type: () -> Any
+        # type: () -> Dict[str, Any]
         """
         Returns the Sentry "trace" context from the Propagation Context.
         """
-        if self._propagation_context is None:
-            return None
+        if has_tracing_enabled(self.get_client().options) and self._span is not None:
+            return self._span.get_trace_context()
 
-        trace_context = {
-            "trace_id": self._propagation_context.trace_id,
-            "span_id": self._propagation_context.span_id,
-            "parent_span_id": self._propagation_context.parent_span_id,
-            "dynamic_sampling_context": self.get_dynamic_sampling_context(),
-        }  # type: Dict[str, Any]
+        # if we are tracing externally (otel), those values take precedence
+        external_propagation_context = get_external_propagation_context()
+        if external_propagation_context:
+            trace_id, span_id = external_propagation_context
+            return {"trace_id": trace_id, "span_id": span_id}
 
-        return trace_context
+        propagation_context = self.get_active_propagation_context()
+        if propagation_context is None:
+            return {}
+
+        return {
+            "trace_id": propagation_context.trace_id,
+            "span_id": propagation_context.span_id,
+            "parent_span_id": propagation_context.parent_span_id,
+            "dynamic_sampling_context": self.get_dynamic_sampling_context(),
+        }
 
     def trace_propagation_meta(self, *args, **kwargs):
         # type: (*Any, **Any) -> str
@@ -1438,10 +1469,7 @@ def _apply_contexts_to_event(self, event, hint, options):
 
         # Add "trace" context
         if contexts.get("trace") is None:
-            if has_tracing_enabled(options) and self._span is not None:
-                contexts["trace"] = self._span.get_trace_context()
-            else:
-                contexts["trace"] = self.get_trace_context()
+            contexts["trace"] = self.get_trace_context()
 
     def _apply_flags_to_event(self, event, hint, options):
         # type: (Event, Hint, Optional[Dict[str, Any]]) -> None
diff --git a/sentry_sdk/utils.py b/sentry_sdk/utils.py
index 3496178228..d6dd5c29b2 100644
--- a/sentry_sdk/utils.py
+++ b/sentry_sdk/utils.py
@@ -654,7 +654,7 @@ def get_errno(exc_value):
 
 def get_error_message(exc_value):
     # type: (Optional[BaseException]) -> str
-    message = (
+    message = safe_str(
         getattr(exc_value, "message", "")
         or getattr(exc_value, "detail", "")
         or safe_str(exc_value)
@@ -1760,6 +1760,12 @@ def _normalize_module_name(name):
     return name.lower()
 
 
+def _replace_hyphens_dots_and_underscores_with_dashes(name):
+    # type: (str) -> str
+    # https://peps.python.org/pep-0503/#normalized-names
+    return re.sub(r"[-_.]+", "-", name)
+
+
 def _get_installed_modules():
     # type: () -> Dict[str, str]
     global _installed_modules
@@ -1770,8 +1776,15 @@ def _get_installed_modules():
 
 def package_version(package):
     # type: (str) -> Optional[Tuple[int, ...]]
-    installed_packages = _get_installed_modules()
-    version = installed_packages.get(package)
+    normalized_package = _normalize_module_name(
+        _replace_hyphens_dots_and_underscores_with_dashes(package)
+    )
+
+    installed_packages = {
+        _replace_hyphens_dots_and_underscores_with_dashes(module): v
+        for module, v in _get_installed_modules().items()
+    }
+    version = installed_packages.get(normalized_package)
     if version is None:
         return None
 
@@ -2052,7 +2065,7 @@ def has_metrics_enabled(options):
     if options is None:
         return False
 
-    return bool(options["_experiments"].get("enable_metrics", False))
+    return bool(options.get("enable_metrics", True))
 
 
 def get_before_send_metric(options):
@@ -2060,4 +2073,6 @@ def get_before_send_metric(options):
     if options is None:
         return None
 
-    return options["_experiments"].get("before_send_metric")
+    return options.get("before_send_metric") or options["_experiments"].get(
+        "before_send_metric"
+    )
diff --git a/setup.py b/setup.py
index b3b7ebb737..6711e676f1 100644
--- a/setup.py
+++ b/setup.py
@@ -21,7 +21,7 @@ def get_file_text(file_name):
 
 setup(
     name="sentry-sdk",
-    version="2.43.0",
+    version="2.46.0",
     author="Sentry Team and Contributors",
     author_email="hello@sentry.io",
     url="https://github.com/getsentry/sentry-python",
@@ -73,6 +73,7 @@ def get_file_text(file_name):
         "openfeature": ["openfeature-sdk>=0.7.1"],
         "opentelemetry": ["opentelemetry-distro>=0.35b0"],
         "opentelemetry-experimental": ["opentelemetry-distro"],
+        "opentelemetry-otlp": ["opentelemetry-distro[otlp]>=0.35b0"],
         "pure-eval": ["pure_eval", "executing", "asttokens"],
         "pydantic_ai": ["pydantic-ai>=1.0.0"],
         "pymongo": ["pymongo>=3.1"],
diff --git a/tests/integrations/asyncio/test_asyncio.py b/tests/integrations/asyncio/test_asyncio.py
index 66113746bf..11b60fb0e1 100644
--- a/tests/integrations/asyncio/test_asyncio.py
+++ b/tests/integrations/asyncio/test_asyncio.py
@@ -67,7 +67,16 @@ async def test_create_task(
 
     with sentry_sdk.start_transaction(name="test_transaction_for_create_task"):
         with sentry_sdk.start_span(op="root", name="not so important"):
-            tasks = [asyncio.create_task(foo()), asyncio.create_task(bar())]
+            foo_task = asyncio.create_task(foo())
+            bar_task = asyncio.create_task(bar())
+
+            if hasattr(foo_task.get_coro(), "__name__"):
+                assert foo_task.get_coro().__name__ == "foo"
+            if hasattr(bar_task.get_coro(), "__name__"):
+                assert bar_task.get_coro().__name__ == "bar"
+
+            tasks = [foo_task, bar_task]
+
             await asyncio.wait(tasks, return_when=asyncio.FIRST_EXCEPTION)
 
     sentry_sdk.flush()
diff --git a/tests/integrations/dramatiq/test_dramatiq.py b/tests/integrations/dramatiq/test_dramatiq.py
index 53c36b640c..3860ee61d9 100644
--- a/tests/integrations/dramatiq/test_dramatiq.py
+++ b/tests/integrations/dramatiq/test_dramatiq.py
@@ -36,7 +36,14 @@ def worker(broker):
     worker.stop()
 
 
-def test_that_a_single_error_is_captured(broker, worker, capture_events):
+@pytest.mark.parametrize(
+    "fail_fast",
+    [
+        False,
+        True,
+    ],
+)
+def test_that_a_single_error_is_captured(broker, worker, capture_events, fail_fast):
     events = capture_events()
 
     @dramatiq.actor(max_retries=0)
@@ -45,7 +52,11 @@ def dummy_actor(x, y):
 
     dummy_actor.send(1, 2)
     dummy_actor.send(1, 0)
-    broker.join(dummy_actor.queue_name)
+    if fail_fast:
+        with pytest.raises(ZeroDivisionError):
+            broker.join(dummy_actor.queue_name, fail_fast=fail_fast)
+    else:
+        broker.join(dummy_actor.queue_name, fail_fast=fail_fast)
     worker.join()
 
     (event,) = events
@@ -54,15 +65,19 @@ def dummy_actor(x, y):
 
 
 @pytest.mark.parametrize(
-    "broker,expected_span_status",
+    "broker,expected_span_status,fail_fast",
     [
-        (1.0, SPANSTATUS.INTERNAL_ERROR),
-        (1.0, SPANSTATUS.OK),
+        (1.0, SPANSTATUS.INTERNAL_ERROR, False),
+        (1.0, SPANSTATUS.OK, False),
+        (1.0, SPANSTATUS.INTERNAL_ERROR, True),
+        (1.0, SPANSTATUS.OK, True),
     ],
-    ids=["error", "success"],
+    ids=["error", "success", "error_fail_fast", "success_fail_fast"],
     indirect=["broker"],
 )
-def test_task_transaction(broker, worker, capture_events, expected_span_status):
+def test_task_transaction(
+    broker, worker, capture_events, expected_span_status, fail_fast
+):
     events = capture_events()
     task_fails = expected_span_status == SPANSTATUS.INTERNAL_ERROR
 
@@ -71,7 +86,13 @@ def dummy_actor(x, y):
         return x / y
 
     dummy_actor.send(1, int(not task_fails))
-    broker.join(dummy_actor.queue_name)
+
+    if expected_span_status == SPANSTATUS.INTERNAL_ERROR and fail_fast:
+        with pytest.raises(ZeroDivisionError):
+            broker.join(dummy_actor.queue_name, fail_fast=fail_fast)
+    else:
+        broker.join(dummy_actor.queue_name, fail_fast=fail_fast)
+
     worker.join()
 
     if task_fails:
@@ -106,7 +127,16 @@ def propagated_trace_task():
     assert events[0]["contexts"]["trace"]["trace_id"] == outer_transaction.trace_id
 
 
-def test_that_dramatiq_message_id_is_set_as_extra(broker, worker, capture_events):
+@pytest.mark.parametrize(
+    "fail_fast",
+    [
+        False,
+        True,
+    ],
+)
+def test_that_dramatiq_message_id_is_set_as_extra(
+    broker, worker, capture_events, fail_fast
+):
     events = capture_events()
 
     @dramatiq.actor(max_retries=0)
@@ -115,7 +145,11 @@ def dummy_actor(x, y):
         return x / y
 
     dummy_actor.send(1, 0)
-    broker.join(dummy_actor.queue_name)
+    if fail_fast:
+        with pytest.raises(ZeroDivisionError):
+            broker.join(dummy_actor.queue_name, fail_fast=fail_fast)
+    else:
+        broker.join(dummy_actor.queue_name, fail_fast=fail_fast)
     worker.join()
 
     event_message, event_error = events
@@ -129,7 +163,14 @@ def dummy_actor(x, y):
     assert all(uuid.UUID(msg_id) and isinstance(msg_id, str) for msg_id in msg_ids)
 
 
-def test_that_local_variables_are_captured(broker, worker, capture_events):
+@pytest.mark.parametrize(
+    "fail_fast",
+    [
+        False,
+        True,
+    ],
+)
+def test_that_local_variables_are_captured(broker, worker, capture_events, fail_fast):
     events = capture_events()
 
     @dramatiq.actor(max_retries=0)
@@ -139,7 +180,11 @@ def dummy_actor(x, y):
 
     dummy_actor.send(1, 2)
     dummy_actor.send(1, 0)
-    broker.join(dummy_actor.queue_name)
+    if fail_fast:
+        with pytest.raises(ZeroDivisionError):
+            broker.join(dummy_actor.queue_name, fail_fast=fail_fast)
+    else:
+        broker.join(dummy_actor.queue_name, fail_fast=fail_fast)
     worker.join()
 
     (event,) = events
@@ -168,7 +213,14 @@ def dummy_actor():
     assert event["transaction"] == "dummy_actor"
 
 
-def test_that_sub_actor_errors_are_captured(broker, worker, capture_events):
+@pytest.mark.parametrize(
+    "fail_fast",
+    [
+        False,
+        True,
+    ],
+)
+def test_that_sub_actor_errors_are_captured(broker, worker, capture_events, fail_fast):
     events = capture_events()
 
     @dramatiq.actor(max_retries=0)
@@ -181,7 +233,11 @@ def sub_actor(x, y):
 
     dummy_actor.send(1, 2)
     dummy_actor.send(1, 0)
-    broker.join(dummy_actor.queue_name)
+    if fail_fast:
+        with pytest.raises(ZeroDivisionError):
+            broker.join(dummy_actor.queue_name, fail_fast=fail_fast)
+    else:
+        broker.join(dummy_actor.queue_name, fail_fast=fail_fast)
     worker.join()
 
     (event,) = events
@@ -191,7 +247,14 @@ def sub_actor(x, y):
     assert exception["type"] == "ZeroDivisionError"
 
 
-def test_that_multiple_errors_are_captured(broker, worker, capture_events):
+@pytest.mark.parametrize(
+    "fail_fast",
+    [
+        False,
+        True,
+    ],
+)
+def test_that_multiple_errors_are_captured(broker, worker, capture_events, fail_fast):
     events = capture_events()
 
     @dramatiq.actor(max_retries=0)
@@ -199,11 +262,19 @@ def dummy_actor(x, y):
         return x / y
 
     dummy_actor.send(1, 0)
-    broker.join(dummy_actor.queue_name)
+    if fail_fast:
+        with pytest.raises(ZeroDivisionError):
+            broker.join(dummy_actor.queue_name, fail_fast=fail_fast)
+    else:
+        broker.join(dummy_actor.queue_name, fail_fast=fail_fast)
     worker.join()
 
     dummy_actor.send(1, None)
-    broker.join(dummy_actor.queue_name)
+    if fail_fast:
+        with pytest.raises(ZeroDivisionError):
+            broker.join(dummy_actor.queue_name, fail_fast=fail_fast)
+    else:
+        broker.join(dummy_actor.queue_name, fail_fast=fail_fast)
     worker.join()
 
     event1, event2 = events
@@ -217,7 +288,16 @@ def dummy_actor(x, y):
     assert exception["type"] == "TypeError"
 
 
-def test_that_message_data_is_added_as_request(broker, worker, capture_events):
+@pytest.mark.parametrize(
+    "fail_fast",
+    [
+        False,
+        True,
+    ],
+)
+def test_that_message_data_is_added_as_request(
+    broker, worker, capture_events, fail_fast
+):
     events = capture_events()
 
     @dramatiq.actor(max_retries=0)
@@ -231,7 +311,11 @@ def dummy_actor(x, y):
         ),
         max_retries=0,
     )
-    broker.join(dummy_actor.queue_name)
+    if fail_fast:
+        with pytest.raises(ZeroDivisionError):
+            broker.join(dummy_actor.queue_name, fail_fast=fail_fast)
+    else:
+        broker.join(dummy_actor.queue_name, fail_fast=fail_fast)
     worker.join()
 
     (event,) = events
@@ -247,7 +331,16 @@ def dummy_actor(x, y):
     assert isinstance(request_data["message_timestamp"], int)
 
 
-def test_that_expected_exceptions_are_not_captured(broker, worker, capture_events):
+@pytest.mark.parametrize(
+    "fail_fast",
+    [
+        False,
+        True,
+    ],
+)
+def test_that_expected_exceptions_are_not_captured(
+    broker, worker, capture_events, fail_fast
+):
     events = capture_events()
 
     class ExpectedException(Exception):
@@ -258,13 +351,26 @@ def dummy_actor():
         raise ExpectedException
 
     dummy_actor.send()
-    broker.join(dummy_actor.queue_name)
+    if fail_fast:
+        with pytest.raises(ExpectedException):
+            broker.join(dummy_actor.queue_name, fail_fast=fail_fast)
+    else:
+        broker.join(dummy_actor.queue_name, fail_fast=fail_fast)
     worker.join()
 
     assert events == []
 
 
-def test_that_retry_exceptions_are_not_captured(broker, worker, capture_events):
+@pytest.mark.parametrize(
+    "fail_fast",
+    [
+        False,
+        True,
+    ],
+)
+def test_that_retry_exceptions_are_not_captured(
+    broker, worker, capture_events, fail_fast
+):
     events = capture_events()
 
     @dramatiq.actor(max_retries=2)
@@ -272,7 +378,11 @@ def dummy_actor():
         raise dramatiq.errors.Retry("Retrying", delay=100)
 
     dummy_actor.send()
-    broker.join(dummy_actor.queue_name)
+    if fail_fast:
+        with pytest.raises(dramatiq.errors.Retry):
+            broker.join(dummy_actor.queue_name, fail_fast=fail_fast)
+    else:
+        broker.join(dummy_actor.queue_name, fail_fast=fail_fast)
     worker.join()
 
     assert events == []
diff --git a/tests/integrations/fastmcp/__init__.py b/tests/integrations/fastmcp/__init__.py
new file mode 100644
index 0000000000..01ef442500
--- /dev/null
+++ b/tests/integrations/fastmcp/__init__.py
@@ -0,0 +1,3 @@
+import pytest
+
+pytest.importorskip("mcp")
diff --git a/tests/integrations/fastmcp/test_fastmcp.py b/tests/integrations/fastmcp/test_fastmcp.py
new file mode 100644
index 0000000000..ef2a1f9cb7
--- /dev/null
+++ b/tests/integrations/fastmcp/test_fastmcp.py
@@ -0,0 +1,1135 @@
+"""
+Unit tests for the Sentry MCP integration with FastMCP.
+
+This test suite verifies that Sentry's MCPIntegration properly instruments
+both FastMCP implementations:
+- mcp.server.fastmcp.FastMCP (FastMCP from the mcp package)
+- fastmcp.FastMCP (standalone fastmcp package)
+
+Tests focus on verifying Sentry integration behavior:
+- Integration doesn't break FastMCP functionality
+- Span creation when tools/prompts/resources are called through MCP protocol
+- Span data accuracy (operation, description, origin, etc.)
+- Error capture and instrumentation
+- PII and include_prompts flag behavior
+- Request context data extraction
+- Transport detection (stdio, http, sse)
+
+All tests invoke tools/prompts/resources through the MCP Server's low-level
+request handlers (via CallToolRequest, GetPromptRequest, ReadResourceRequest)
+to properly trigger Sentry instrumentation and span creation. This ensures
+accurate testing of the integration's behavior in real MCP Server scenarios.
+"""
+
+import asyncio
+import json
+import pytest
+from unittest import mock
+
+try:
+    from unittest.mock import AsyncMock
+except ImportError:
+
+    class AsyncMock(mock.MagicMock):
+        async def __call__(self, *args, **kwargs):
+            return super(AsyncMock, self).__call__(*args, **kwargs)
+
+
+from sentry_sdk import start_transaction
+from sentry_sdk.consts import SPANDATA, OP
+from sentry_sdk.integrations.mcp import MCPIntegration
+
+# Try to import both FastMCP implementations
+try:
+    from mcp.server.fastmcp import FastMCP as MCPFastMCP
+
+    HAS_MCP_FASTMCP = True
+except ImportError:
+    HAS_MCP_FASTMCP = False
+    MCPFastMCP = None
+
+try:
+    from fastmcp import FastMCP as StandaloneFastMCP
+
+    HAS_STANDALONE_FASTMCP = True
+except ImportError:
+    HAS_STANDALONE_FASTMCP = False
+    StandaloneFastMCP = None
+
+# Try to import request_ctx for context testing
+try:
+    from mcp.server.lowlevel.server import request_ctx
+except ImportError:
+    request_ctx = None
+
+# Try to import MCP types for helper functions
+try:
+    from mcp.types import CallToolRequest, GetPromptRequest, ReadResourceRequest
+except ImportError:
+    # If mcp.types not available, tests will be skipped anyway
+    CallToolRequest = None
+    GetPromptRequest = None
+    ReadResourceRequest = None
+
+
+# Collect available FastMCP implementations for parametrization
+fastmcp_implementations = []
+fastmcp_ids = []
+
+if HAS_MCP_FASTMCP:
+    fastmcp_implementations.append(MCPFastMCP)
+    fastmcp_ids.append("mcp.server.fastmcp")
+
+if HAS_STANDALONE_FASTMCP:
+    fastmcp_implementations.append(StandaloneFastMCP)
+    fastmcp_ids.append("fastmcp")
+
+
+# Helper functions to call tools through MCP Server protocol
+def call_tool_through_mcp(mcp_instance, tool_name, arguments):
+    """
+    Call a tool through MCP Server's low-level handler.
+    This properly triggers Sentry instrumentation.
+
+    Args:
+        mcp_instance: The FastMCP instance
+        tool_name: Name of the tool to call
+        arguments: Dictionary of arguments to pass to the tool
+
+    Returns:
+        The tool result normalized to {"result": value} format
+    """
+    handler = mcp_instance._mcp_server.request_handlers[CallToolRequest]
+    request = CallToolRequest(
+        method="tools/call", params={"name": tool_name, "arguments": arguments}
+    )
+
+    result = asyncio.run(handler(request))
+
+    if hasattr(result, "root"):
+        result = result.root
+    if hasattr(result, "structuredContent") and result.structuredContent:
+        result = result.structuredContent
+    elif hasattr(result, "content"):
+        if result.content:
+            text = result.content[0].text
+            try:
+                result = json.loads(text)
+            except (json.JSONDecodeError, TypeError):
+                result = text
+        else:
+            # Empty content means None return
+            result = None
+
+    # Normalize return value to consistent format
+    # If already a dict, return as-is (tool functions return dicts directly)
+    if isinstance(result, dict):
+        return result
+
+    # Handle string "None" or "null" as actual None
+    if isinstance(result, str) and result in ("None", "null"):
+        result = None
+
+    # Wrap primitive values (int, str, bool, None) in dict format for consistency
+    return {"result": result}
+
+
+async def call_tool_through_mcp_async(mcp_instance, tool_name, arguments):
+    """Async version of call_tool_through_mcp."""
+    handler = mcp_instance._mcp_server.request_handlers[CallToolRequest]
+    request = CallToolRequest(
+        method="tools/call", params={"name": tool_name, "arguments": arguments}
+    )
+
+    result = await handler(request)
+
+    if hasattr(result, "root"):
+        result = result.root
+    if hasattr(result, "structuredContent") and result.structuredContent:
+        result = result.structuredContent
+    elif hasattr(result, "content"):
+        if result.content:
+            text = result.content[0].text
+            try:
+                result = json.loads(text)
+            except (json.JSONDecodeError, TypeError):
+                result = text
+        else:
+            # Empty content means None return
+            result = None
+
+    # Normalize return value to consistent format
+    # If already a dict, return as-is (tool functions return dicts directly)
+    if isinstance(result, dict):
+        return result
+
+    # Handle string "None" or "null" as actual None
+    if isinstance(result, str) and result in ("None", "null"):
+        result = None
+
+    # Wrap primitive values (int, str, bool, None) in dict format for consistency
+    return {"result": result}
+
+
+def call_prompt_through_mcp(mcp_instance, prompt_name, arguments=None):
+    """Call a prompt through MCP Server's low-level handler."""
+    handler = mcp_instance._mcp_server.request_handlers[GetPromptRequest]
+    request = GetPromptRequest(
+        method="prompts/get", params={"name": prompt_name, "arguments": arguments or {}}
+    )
+
+    result = asyncio.run(handler(request))
+    if hasattr(result, "root"):
+        result = result.root
+    return result
+
+
+async def call_prompt_through_mcp_async(mcp_instance, prompt_name, arguments=None):
+    """Async version of call_prompt_through_mcp."""
+    handler = mcp_instance._mcp_server.request_handlers[GetPromptRequest]
+    request = GetPromptRequest(
+        method="prompts/get", params={"name": prompt_name, "arguments": arguments or {}}
+    )
+
+    result = await handler(request)
+    if hasattr(result, "root"):
+        result = result.root
+    return result
+
+
+def call_resource_through_mcp(mcp_instance, uri):
+    """Call a resource through MCP Server's low-level handler."""
+    handler = mcp_instance._mcp_server.request_handlers[ReadResourceRequest]
+    request = ReadResourceRequest(method="resources/read", params={"uri": str(uri)})
+
+    result = asyncio.run(handler(request))
+    if hasattr(result, "root"):
+        result = result.root
+    return result
+
+
+async def call_resource_through_mcp_async(mcp_instance, uri):
+    """Async version of call_resource_through_mcp."""
+    handler = mcp_instance._mcp_server.request_handlers[ReadResourceRequest]
+    request = ReadResourceRequest(method="resources/read", params={"uri": str(uri)})
+
+    result = await handler(request)
+    if hasattr(result, "root"):
+        result = result.root
+    return result
+
+
+# Skip all tests if neither implementation is available
+pytestmark = pytest.mark.skipif(
+    not (HAS_MCP_FASTMCP or HAS_STANDALONE_FASTMCP),
+    reason="Neither mcp.fastmcp nor standalone fastmcp is installed",
+)
+
+
+@pytest.fixture(autouse=True)
+def reset_request_ctx():
+    """Reset request context before and after each test"""
+    if request_ctx is not None:
+        try:
+            if request_ctx.get() is not None:
+                request_ctx.set(None)
+        except LookupError:
+            pass
+
+    yield
+
+    if request_ctx is not None:
+        try:
+            request_ctx.set(None)
+        except LookupError:
+            pass
+
+
+class MockRequestContext:
+    """Mock MCP request context"""
+
+    def __init__(self, request_id=None, session_id=None, transport="stdio"):
+        self.request_id = request_id
+        if transport in ("http", "sse"):
+            self.request = MockHTTPRequest(session_id, transport)
+        else:
+            self.request = None
+
+
+class MockHTTPRequest:
+    """Mock HTTP request for SSE/StreamableHTTP transport"""
+
+    def __init__(self, session_id=None, transport="http"):
+        self.headers = {}
+        self.query_params = {}
+
+        if transport == "sse":
+            # SSE transport uses query parameter
+            if session_id:
+                self.query_params["session_id"] = session_id
+        else:
+            # StreamableHTTP transport uses header
+            if session_id:
+                self.headers["mcp-session-id"] = session_id
+
+
+# =============================================================================
+# Tool Handler Tests - Verifying Sentry Integration
+# =============================================================================
+
+
+@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids)
+@pytest.mark.parametrize(
+    "send_default_pii, include_prompts",
+    [(True, True), (True, False), (False, True), (False, False)],
+)
+def test_fastmcp_tool_sync(
+    sentry_init, capture_events, FastMCP, send_default_pii, include_prompts
+):
+    """Test that FastMCP synchronous tool handlers create proper spans"""
+    sentry_init(
+        integrations=[MCPIntegration(include_prompts=include_prompts)],
+        traces_sample_rate=1.0,
+        send_default_pii=send_default_pii,
+    )
+    events = capture_events()
+
+    mcp = FastMCP("Test Server")
+
+    # Set up mock request context
+    if request_ctx is not None:
+        mock_ctx = MockRequestContext(request_id="req-123", transport="stdio")
+        request_ctx.set(mock_ctx)
+
+    @mcp.tool()
+    def add_numbers(a: int, b: int) -> dict:
+        """Add two numbers together"""
+        return {"result": a + b, "operation": "addition"}
+
+    with start_transaction(name="fastmcp tx"):
+        # Call through MCP protocol to trigger instrumentation
+        result = call_tool_through_mcp(mcp, "add_numbers", {"a": 10, "b": 5})
+
+    assert result == {"result": 15, "operation": "addition"}
+
+    (tx,) = events
+    assert tx["type"] == "transaction"
+    assert len(tx["spans"]) == 1
+
+    # Verify span structure
+    span = tx["spans"][0]
+    assert span["op"] == OP.MCP_SERVER
+    assert span["origin"] == "auto.ai.mcp"
+    assert span["description"] == "tools/call add_numbers"
+    assert span["data"][SPANDATA.MCP_TOOL_NAME] == "add_numbers"
+    assert span["data"][SPANDATA.MCP_METHOD_NAME] == "tools/call"
+    assert span["data"][SPANDATA.MCP_TRANSPORT] == "stdio"
+    assert span["data"][SPANDATA.MCP_REQUEST_ID] == "req-123"
+
+    # Check PII-sensitive data
+    if send_default_pii and include_prompts:
+        assert SPANDATA.MCP_TOOL_RESULT_CONTENT in span["data"]
+    else:
+        assert SPANDATA.MCP_TOOL_RESULT_CONTENT not in span["data"]
+
+
+@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids)
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "send_default_pii, include_prompts",
+    [(True, True), (True, False), (False, True), (False, False)],
+)
+async def test_fastmcp_tool_async(
+    sentry_init, capture_events, FastMCP, send_default_pii, include_prompts
+):
+    """Test that FastMCP async tool handlers create proper spans"""
+    sentry_init(
+        integrations=[MCPIntegration(include_prompts=include_prompts)],
+        traces_sample_rate=1.0,
+        send_default_pii=send_default_pii,
+    )
+    events = capture_events()
+
+    mcp = FastMCP("Test Server")
+
+    # Set up mock request context
+    if request_ctx is not None:
+        mock_ctx = MockRequestContext(
+            request_id="req-456", session_id="session-789", transport="http"
+        )
+        request_ctx.set(mock_ctx)
+
+    @mcp.tool()
+    async def multiply_numbers(x: int, y: int) -> dict:
+        """Multiply two numbers together"""
+        return {"result": x * y, "operation": "multiplication"}
+
+    with start_transaction(name="fastmcp tx"):
+        result = await call_tool_through_mcp_async(
+            mcp, "multiply_numbers", {"x": 7, "y": 6}
+        )
+
+    assert result == {"result": 42, "operation": "multiplication"}
+
+    (tx,) = events
+    assert tx["type"] == "transaction"
+    assert len(tx["spans"]) == 1
+
+    # Verify span structure
+    span = tx["spans"][0]
+    assert span["op"] == OP.MCP_SERVER
+    assert span["origin"] == "auto.ai.mcp"
+    assert span["description"] == "tools/call multiply_numbers"
+    assert span["data"][SPANDATA.MCP_TOOL_NAME] == "multiply_numbers"
+    assert span["data"][SPANDATA.MCP_METHOD_NAME] == "tools/call"
+    assert span["data"][SPANDATA.MCP_TRANSPORT] == "http"
+    assert span["data"][SPANDATA.MCP_REQUEST_ID] == "req-456"
+    assert span["data"][SPANDATA.MCP_SESSION_ID] == "session-789"
+
+    # Check PII-sensitive data
+    if send_default_pii and include_prompts:
+        assert SPANDATA.MCP_TOOL_RESULT_CONTENT in span["data"]
+    else:
+        assert SPANDATA.MCP_TOOL_RESULT_CONTENT not in span["data"]
+
+
+@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids)
+def test_fastmcp_tool_with_error(sentry_init, capture_events, FastMCP):
+    """Test that FastMCP tool handler errors are captured properly"""
+    sentry_init(
+        integrations=[MCPIntegration()],
+        traces_sample_rate=1.0,
+    )
+    events = capture_events()
+
+    mcp = FastMCP("Test Server")
+
+    # Set up mock request context
+    if request_ctx is not None:
+        mock_ctx = MockRequestContext(request_id="req-error", transport="stdio")
+        request_ctx.set(mock_ctx)
+
+    @mcp.tool()
+    def failing_tool(value: int) -> int:
+        """A tool that always fails"""
+        raise ValueError("Tool execution failed")
+
+    with start_transaction(name="fastmcp tx"):
+        # MCP protocol may raise the error or return it as an error result
+        try:
+            result = call_tool_through_mcp(mcp, "failing_tool", {"value": 42})
+            # If no exception raised, check if result indicates error
+            if hasattr(result, "isError"):
+                assert result.isError is True
+        except ValueError:
+            # Error was raised as expected
+            pass
+
+    # Should have transaction and error events
+    assert len(events) >= 1
+
+    # Check span was created
+    tx = [e for e in events if e.get("type") == "transaction"][0]
+    tool_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER]
+    assert len(tool_spans) == 1
+
+    # Check error event was captured
+    error_events = [e for e in events if e.get("level") == "error"]
+    assert len(error_events) >= 1
+    error_event = error_events[0]
+    assert error_event["exception"]["values"][0]["type"] == "ValueError"
+    assert error_event["exception"]["values"][0]["value"] == "Tool execution failed"
+    # Verify span is marked with error
+    assert tool_spans[0]["data"][SPANDATA.MCP_TOOL_RESULT_IS_ERROR] is True
+
+
+@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids)
+def test_fastmcp_multiple_tools(sentry_init, capture_events, FastMCP):
+    """Test that multiple FastMCP tool calls create multiple spans"""
+    sentry_init(
+        integrations=[MCPIntegration()],
+        traces_sample_rate=1.0,
+    )
+    events = capture_events()
+
+    mcp = FastMCP("Test Server")
+
+    # Set up mock request context
+    if request_ctx is not None:
+        mock_ctx = MockRequestContext(request_id="req-multi", transport="stdio")
+        request_ctx.set(mock_ctx)
+
+    @mcp.tool()
+    def tool_one(x: int) -> int:
+        """First tool"""
+        return x * 2
+
+    @mcp.tool()
+    def tool_two(y: int) -> int:
+        """Second tool"""
+        return y + 10
+
+    @mcp.tool()
+    def tool_three(z: int) -> int:
+        """Third tool"""
+        return z - 5
+
+    with start_transaction(name="fastmcp tx"):
+        result1 = call_tool_through_mcp(mcp, "tool_one", {"x": 5})
+        result2 = call_tool_through_mcp(mcp, "tool_two", {"y": result1["result"]})
+        result3 = call_tool_through_mcp(mcp, "tool_three", {"z": result2["result"]})
+
+    assert result1["result"] == 10
+    assert result2["result"] == 20
+    assert result3["result"] == 15
+
+    (tx,) = events
+    assert tx["type"] == "transaction"
+
+    # Verify three spans were created
+    tool_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER]
+    assert len(tool_spans) == 3
+    assert tool_spans[0]["data"][SPANDATA.MCP_TOOL_NAME] == "tool_one"
+    assert tool_spans[1]["data"][SPANDATA.MCP_TOOL_NAME] == "tool_two"
+    assert tool_spans[2]["data"][SPANDATA.MCP_TOOL_NAME] == "tool_three"
+
+
+@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids)
+def test_fastmcp_tool_with_complex_return(sentry_init, capture_events, FastMCP):
+    """Test FastMCP tool with complex nested return value"""
+    sentry_init(
+        integrations=[MCPIntegration(include_prompts=True)],
+        traces_sample_rate=1.0,
+        send_default_pii=True,
+    )
+    events = capture_events()
+
+    mcp = FastMCP("Test Server")
+
+    # Set up mock request context
+    if request_ctx is not None:
+        mock_ctx = MockRequestContext(request_id="req-complex", transport="stdio")
+        request_ctx.set(mock_ctx)
+
+    @mcp.tool()
+    def get_user_data(user_id: int) -> dict:
+        """Get complex user data"""
+        return {
+            "id": user_id,
+            "name": "Alice",
+            "nested": {"preferences": {"theme": "dark", "notifications": True}},
+            "tags": ["admin", "verified"],
+        }
+
+    with start_transaction(name="fastmcp tx"):
+        result = call_tool_through_mcp(mcp, "get_user_data", {"user_id": 123})
+
+    assert result["id"] == 123
+    assert result["name"] == "Alice"
+    assert result["nested"]["preferences"]["theme"] == "dark"
+
+    (tx,) = events
+    assert tx["type"] == "transaction"
+
+    # Verify span was created with complex data
+    tool_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER]
+    assert len(tool_spans) == 1
+    assert tool_spans[0]["op"] == OP.MCP_SERVER
+    assert tool_spans[0]["data"][SPANDATA.MCP_TOOL_NAME] == "get_user_data"
+    # Complex return value should be captured since include_prompts=True and send_default_pii=True
+    assert SPANDATA.MCP_TOOL_RESULT_CONTENT in tool_spans[0]["data"]
+
+
+# =============================================================================
+# Prompt Handler Tests (if supported)
+# =============================================================================
+
+
+@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids)
+@pytest.mark.parametrize(
+    "send_default_pii, include_prompts",
+    [(True, True), (False, False)],
+)
+def test_fastmcp_prompt_sync(
+    sentry_init, capture_events, FastMCP, send_default_pii, include_prompts
+):
+    """Test that FastMCP synchronous prompt handlers create proper spans"""
+    sentry_init(
+        integrations=[MCPIntegration(include_prompts=include_prompts)],
+        traces_sample_rate=1.0,
+        send_default_pii=send_default_pii,
+    )
+    events = capture_events()
+
+    mcp = FastMCP("Test Server")
+
+    # Set up mock request context
+    if request_ctx is not None:
+        mock_ctx = MockRequestContext(request_id="req-prompt", transport="stdio")
+        request_ctx.set(mock_ctx)
+
+    # Try to register a prompt handler (may not be supported in all versions)
+    try:
+        if hasattr(mcp, "prompt"):
+
+            @mcp.prompt()
+            def code_help_prompt(language: str):
+                """Get help for a programming language"""
+                return [
+                    {
+                        "role": "user",
+                        "content": {
+                            "type": "text",
+                            "text": f"Tell me about {language}",
+                        },
+                    }
+                ]
+
+            with start_transaction(name="fastmcp tx"):
+                result = call_prompt_through_mcp(
+                    mcp, "code_help_prompt", {"language": "python"}
+                )
+
+            assert result.messages[0].role == "user"
+            assert "python" in result.messages[0].content.text.lower()
+
+            (tx,) = events
+            assert tx["type"] == "transaction"
+
+            # Verify prompt span was created
+            prompt_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER]
+            assert len(prompt_spans) == 1
+            span = prompt_spans[0]
+            assert span["origin"] == "auto.ai.mcp"
+            assert span["description"] == "prompts/get code_help_prompt"
+            assert span["data"][SPANDATA.MCP_PROMPT_NAME] == "code_help_prompt"
+
+            # Check PII-sensitive data
+            if send_default_pii and include_prompts:
+                assert SPANDATA.MCP_PROMPT_CONTENT in span["data"]
+            else:
+                assert SPANDATA.MCP_PROMPT_CONTENT not in span["data"]
+    except AttributeError:
+        # Prompt handler not supported in this version
+        pytest.skip("Prompt handlers not supported in this FastMCP version")
+
+
+@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids)
+@pytest.mark.asyncio
+async def test_fastmcp_prompt_async(sentry_init, capture_events, FastMCP):
+    """Test that FastMCP async prompt handlers create proper spans"""
+    sentry_init(
+        integrations=[MCPIntegration()],
+        traces_sample_rate=1.0,
+    )
+    events = capture_events()
+
+    mcp = FastMCP("Test Server")
+
+    # Set up mock request context
+    if request_ctx is not None:
+        mock_ctx = MockRequestContext(
+            request_id="req-async-prompt", session_id="session-abc", transport="http"
+        )
+        request_ctx.set(mock_ctx)
+
+    # Try to register an async prompt handler
+    try:
+        if hasattr(mcp, "prompt"):
+
+            @mcp.prompt()
+            async def async_prompt(topic: str):
+                """Get async prompt for a topic"""
+                return [
+                    {
+                        "role": "user",
+                        "content": {"type": "text", "text": f"What is {topic}?"},
+                    },
+                    {
+                        "role": "assistant",
+                        "content": {
+                            "type": "text",
+                            "text": "Let me explain that",
+                        },
+                    },
+                ]
+
+            with start_transaction(name="fastmcp tx"):
+                result = await call_prompt_through_mcp_async(
+                    mcp, "async_prompt", {"topic": "MCP"}
+                )
+
+            assert len(result.messages) == 2
+
+            (tx,) = events
+            assert tx["type"] == "transaction"
+    except AttributeError:
+        # Prompt handler not supported in this version
+        pytest.skip("Prompt handlers not supported in this FastMCP version")
+
+
+# =============================================================================
+# Resource Handler Tests (if supported)
+# =============================================================================
+
+
+@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids)
+def test_fastmcp_resource_sync(sentry_init, capture_events, FastMCP):
+    """Test that FastMCP synchronous resource handlers create proper spans"""
+    sentry_init(
+        integrations=[MCPIntegration()],
+        traces_sample_rate=1.0,
+    )
+    events = capture_events()
+
+    mcp = FastMCP("Test Server")
+
+    # Set up mock request context
+    if request_ctx is not None:
+        mock_ctx = MockRequestContext(request_id="req-resource", transport="stdio")
+        request_ctx.set(mock_ctx)
+
+    # Try to register a resource handler
+    try:
+        if hasattr(mcp, "resource"):
+
+            @mcp.resource("file:///{path}")
+            def read_file(path: str):
+                """Read a file resource"""
+                return "file contents"
+
+            with start_transaction(name="fastmcp tx"):
+                try:
+                    result = call_resource_through_mcp(mcp, "file:///test.txt")
+                except ValueError as e:
+                    # Older FastMCP versions may not support this URI pattern
+                    if "Unknown resource" in str(e):
+                        pytest.skip(
+                            f"Resource URI not supported in this FastMCP version: {e}"
+                        )
+                    raise
+
+            # Resource content is returned as-is
+            assert "file contents" in result.contents[0].text
+
+            (tx,) = events
+            assert tx["type"] == "transaction"
+
+            # Verify resource span was created
+            resource_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER]
+            assert len(resource_spans) == 1
+            span = resource_spans[0]
+            assert span["origin"] == "auto.ai.mcp"
+            assert span["description"] == "resources/read file:///test.txt"
+            assert span["data"][SPANDATA.MCP_RESOURCE_PROTOCOL] == "file"
+    except (AttributeError, TypeError):
+        # Resource handler not supported in this version
+        pytest.skip("Resource handlers not supported in this FastMCP version")
+
+
+@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids)
+@pytest.mark.asyncio
+async def test_fastmcp_resource_async(sentry_init, capture_events, FastMCP):
+    """Test that FastMCP async resource handlers create proper spans"""
+    sentry_init(
+        integrations=[MCPIntegration()],
+        traces_sample_rate=1.0,
+    )
+    events = capture_events()
+
+    mcp = FastMCP("Test Server")
+
+    # Set up mock request context
+    if request_ctx is not None:
+        mock_ctx = MockRequestContext(
+            request_id="req-async-resource", session_id="session-res", transport="http"
+        )
+        request_ctx.set(mock_ctx)
+
+    # Try to register an async resource handler
+    try:
+        if hasattr(mcp, "resource"):
+
+            @mcp.resource("https://example.com/{resource}")
+            async def read_url(resource: str):
+                """Read a URL resource"""
+                return "resource data"
+
+            with start_transaction(name="fastmcp tx"):
+                try:
+                    result = await call_resource_through_mcp_async(
+                        mcp, "https://example.com/resource"
+                    )
+                except ValueError as e:
+                    # Older FastMCP versions may not support this URI pattern
+                    if "Unknown resource" in str(e):
+                        pytest.skip(
+                            f"Resource URI not supported in this FastMCP version: {e}"
+                        )
+                    raise
+
+            assert "resource data" in result.contents[0].text
+
+            (tx,) = events
+            assert tx["type"] == "transaction"
+
+            # Verify span was created
+            resource_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER]
+            assert len(resource_spans) == 1
+            assert resource_spans[0]["data"][SPANDATA.MCP_RESOURCE_PROTOCOL] == "https"
+    except (AttributeError, TypeError):
+        # Resource handler not supported in this version
+        pytest.skip("Resource handlers not supported in this FastMCP version")
+
+
+# =============================================================================
+# Span Origin and Metadata Tests
+# =============================================================================
+
+
+@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids)
+def test_fastmcp_span_origin(sentry_init, capture_events, FastMCP):
+    """Test that FastMCP span origin is set correctly"""
+    sentry_init(
+        integrations=[MCPIntegration()],
+        traces_sample_rate=1.0,
+    )
+    events = capture_events()
+
+    mcp = FastMCP("Test Server")
+
+    # Set up mock request context
+    if request_ctx is not None:
+        mock_ctx = MockRequestContext(request_id="req-origin", transport="stdio")
+        request_ctx.set(mock_ctx)
+
+    @mcp.tool()
+    def test_tool(value: int) -> int:
+        """Test tool for origin checking"""
+        return value * 2
+
+    with start_transaction(name="fastmcp tx"):
+        call_tool_through_mcp(mcp, "test_tool", {"value": 21})
+
+    (tx,) = events
+
+    assert tx["contexts"]["trace"]["origin"] == "manual"
+
+    # Verify MCP span has correct origin
+    mcp_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER]
+    assert len(mcp_spans) == 1
+    assert mcp_spans[0]["origin"] == "auto.ai.mcp"
+
+
+@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids)
+def test_fastmcp_without_request_context(sentry_init, capture_events, FastMCP):
+    """Test FastMCP handling when no request context is available"""
+    sentry_init(
+        integrations=[MCPIntegration()],
+        traces_sample_rate=1.0,
+    )
+    events = capture_events()
+
+    mcp = FastMCP("Test Server")
+
+    # Clear request context
+    if request_ctx is not None:
+        request_ctx.set(None)
+
+    @mcp.tool()
+    def test_tool_no_ctx(x: int) -> dict:
+        """Test tool without context"""
+        return {"result": x + 1}
+
+    with start_transaction(name="fastmcp tx"):
+        result = call_tool_through_mcp(mcp, "test_tool_no_ctx", {"x": 99})
+
+    assert result == {"result": 100}
+
+    # Should still create transaction even if context is missing
+    (tx,) = events
+    assert tx["type"] == "transaction"
+
+
+# =============================================================================
+# Transport Detection Tests
+# =============================================================================
+
+
+@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids)
+def test_fastmcp_sse_transport(sentry_init, capture_events, FastMCP):
+    """Test that FastMCP correctly detects SSE transport"""
+    sentry_init(
+        integrations=[MCPIntegration()],
+        traces_sample_rate=1.0,
+    )
+    events = capture_events()
+
+    mcp = FastMCP("Test Server")
+
+    # Set up mock request context with SSE transport
+    if request_ctx is not None:
+        mock_ctx = MockRequestContext(
+            request_id="req-sse", session_id="session-sse-123", transport="sse"
+        )
+        request_ctx.set(mock_ctx)
+
+    @mcp.tool()
+    def sse_tool(value: str) -> dict:
+        """Tool for SSE transport test"""
+        return {"message": f"Received: {value}"}
+
+    with start_transaction(name="fastmcp tx"):
+        result = call_tool_through_mcp(mcp, "sse_tool", {"value": "hello"})
+
+    assert result == {"message": "Received: hello"}
+
+    (tx,) = events
+
+    # Find MCP spans
+    mcp_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER]
+    assert len(mcp_spans) >= 1
+    span = mcp_spans[0]
+    # Check that SSE transport is detected
+    assert span["data"].get(SPANDATA.MCP_TRANSPORT) == "sse"
+
+
+@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids)
+def test_fastmcp_http_transport(sentry_init, capture_events, FastMCP):
+    """Test that FastMCP correctly detects HTTP transport"""
+    sentry_init(
+        integrations=[MCPIntegration()],
+        traces_sample_rate=1.0,
+    )
+    events = capture_events()
+
+    mcp = FastMCP("Test Server")
+
+    # Set up mock request context with HTTP transport
+    if request_ctx is not None:
+        mock_ctx = MockRequestContext(
+            request_id="req-http", session_id="session-http-456", transport="http"
+        )
+        request_ctx.set(mock_ctx)
+
+    @mcp.tool()
+    def http_tool(data: str) -> dict:
+        """Tool for HTTP transport test"""
+        return {"processed": data.upper()}
+
+    with start_transaction(name="fastmcp tx"):
+        result = call_tool_through_mcp(mcp, "http_tool", {"data": "test"})
+
+    assert result == {"processed": "TEST"}
+
+    (tx,) = events
+
+    # Find MCP spans
+    mcp_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER]
+    assert len(mcp_spans) >= 1
+    span = mcp_spans[0]
+    # Check that HTTP transport is detected
+    assert span["data"].get(SPANDATA.MCP_TRANSPORT) == "http"
+
+
+@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids)
+def test_fastmcp_stdio_transport(sentry_init, capture_events, FastMCP):
+    """Test that FastMCP correctly detects stdio transport"""
+    sentry_init(
+        integrations=[MCPIntegration()],
+        traces_sample_rate=1.0,
+    )
+    events = capture_events()
+
+    mcp = FastMCP("Test Server")
+
+    # Set up mock request context with stdio transport
+    if request_ctx is not None:
+        mock_ctx = MockRequestContext(request_id="req-stdio", transport="stdio")
+        request_ctx.set(mock_ctx)
+
+    @mcp.tool()
+    def stdio_tool(n: int) -> dict:
+        """Tool for stdio transport test"""
+        return {"squared": n * n}
+
+    with start_transaction(name="fastmcp tx"):
+        result = call_tool_through_mcp(mcp, "stdio_tool", {"n": 7})
+
+    assert result == {"squared": 49}
+
+    (tx,) = events
+
+    # Find MCP spans
+    mcp_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER]
+    assert len(mcp_spans) >= 1
+    span = mcp_spans[0]
+    # Check that stdio transport is detected
+    assert span["data"].get(SPANDATA.MCP_TRANSPORT) == "stdio"
+
+
+# =============================================================================
+# Integration-specific Tests
+# =============================================================================
+
+
+@pytest.mark.skipif(not HAS_MCP_FASTMCP, reason="mcp.server.fastmcp not installed")
+def test_mcp_fastmcp_specific_features(sentry_init, capture_events):
+    """Test features specific to mcp.server.fastmcp (from mcp package)"""
+    sentry_init(
+        integrations=[MCPIntegration()],
+        traces_sample_rate=1.0,
+    )
+    events = capture_events()
+
+    from mcp.server.fastmcp import FastMCP
+
+    mcp = FastMCP("MCP Package Server")
+
+    @mcp.tool()
+    def package_specific_tool(x: int) -> int:
+        """Tool for mcp.server.fastmcp package"""
+        return x + 100
+
+    with start_transaction(name="mcp.server.fastmcp tx"):
+        result = call_tool_through_mcp(mcp, "package_specific_tool", {"x": 50})
+
+    assert result["result"] == 150
+
+    (tx,) = events
+    assert tx["type"] == "transaction"
+
+
+@pytest.mark.skipif(
+    not HAS_STANDALONE_FASTMCP, reason="standalone fastmcp not installed"
+)
+def test_standalone_fastmcp_specific_features(sentry_init, capture_events):
+    """Test features specific to standalone fastmcp package"""
+    sentry_init(
+        integrations=[MCPIntegration()],
+        traces_sample_rate=1.0,
+    )
+    events = capture_events()
+
+    from fastmcp import FastMCP
+
+    mcp = FastMCP("Standalone FastMCP Server")
+
+    @mcp.tool()
+    def standalone_specific_tool(message: str) -> dict:
+        """Tool for standalone fastmcp package"""
+        return {"echo": message, "length": len(message)}
+
+    with start_transaction(name="standalone fastmcp tx"):
+        result = call_tool_through_mcp(
+            mcp, "standalone_specific_tool", {"message": "Hello FastMCP"}
+        )
+
+    assert result["echo"] == "Hello FastMCP"
+    assert result["length"] == 13
+
+    (tx,) = events
+    assert tx["type"] == "transaction"
+
+
+# =============================================================================
+# Edge Cases and Robustness Tests
+# =============================================================================
+
+
+@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids)
+def test_fastmcp_tool_with_no_arguments(sentry_init, capture_events, FastMCP):
+    """Test FastMCP tool with no arguments"""
+    sentry_init(
+        integrations=[MCPIntegration()],
+        traces_sample_rate=1.0,
+    )
+    events = capture_events()
+
+    mcp = FastMCP("Test Server")
+
+    @mcp.tool()
+    def no_args_tool() -> str:
+        """Tool that takes no arguments"""
+        return "success"
+
+    with start_transaction(name="fastmcp tx"):
+        result = call_tool_through_mcp(mcp, "no_args_tool", {})
+
+    assert result["result"] == "success"
+
+    (tx,) = events
+    assert tx["type"] == "transaction"
+
+
+@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids)
+def test_fastmcp_tool_with_none_return(sentry_init, capture_events, FastMCP):
+    """Test FastMCP tool that returns None"""
+    sentry_init(
+        integrations=[MCPIntegration()],
+        traces_sample_rate=1.0,
+    )
+    events = capture_events()
+
+    mcp = FastMCP("Test Server")
+
+    @mcp.tool()
+    def none_return_tool(action: str) -> None:
+        """Tool that returns None"""
+        pass
+
+    with start_transaction(name="fastmcp tx"):
+        result = call_tool_through_mcp(mcp, "none_return_tool", {"action": "log"})
+
+    # Helper function normalizes to {"result": value} format
+    assert result["result"] is None
+
+    (tx,) = events
+    assert tx["type"] == "transaction"
+
+
+@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids)
+@pytest.mark.asyncio
+async def test_fastmcp_mixed_sync_async_tools(sentry_init, capture_events, FastMCP):
+    """Test mixing sync and async tools in FastMCP"""
+    sentry_init(
+        integrations=[MCPIntegration()],
+        traces_sample_rate=1.0,
+    )
+    events = capture_events()
+
+    mcp = FastMCP("Test Server")
+
+    # Set up mock request context
+    if request_ctx is not None:
+        mock_ctx = MockRequestContext(request_id="req-mixed", transport="stdio")
+        request_ctx.set(mock_ctx)
+
+    @mcp.tool()
+    def sync_add(a: int, b: int) -> int:
+        """Sync addition"""
+        return a + b
+
+    @mcp.tool()
+    async def async_multiply(x: int, y: int) -> int:
+        """Async multiplication"""
+        return x * y
+
+    with start_transaction(name="fastmcp tx"):
+        # Use async version for both since we're in an async context
+        result1 = await call_tool_through_mcp_async(mcp, "sync_add", {"a": 3, "b": 4})
+        result2 = await call_tool_through_mcp_async(
+            mcp, "async_multiply", {"x": 5, "y": 6}
+        )
+
+    assert result1["result"] == 7
+    assert result2["result"] == 30
+
+    (tx,) = events
+    assert tx["type"] == "transaction"
+
+    # Verify both sync and async tool spans were created
+    mcp_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER]
+    assert len(mcp_spans) == 2
+    assert mcp_spans[0]["data"][SPANDATA.MCP_TOOL_NAME] == "sync_add"
+    assert mcp_spans[1]["data"][SPANDATA.MCP_TOOL_NAME] == "async_multiply"
diff --git a/tests/integrations/langchain/test_langchain.py b/tests/integrations/langchain/test_langchain.py
index 34f671abf9..59e9d719e4 100644
--- a/tests/integrations/langchain/test_langchain.py
+++ b/tests/integrations/langchain/test_langchain.py
@@ -20,6 +20,7 @@
 from langchain_core.runnables import RunnableConfig
 from langchain_core.language_models.chat_models import BaseChatModel
 
+import sentry_sdk
 from sentry_sdk import start_transaction
 from sentry_sdk.integrations.langchain import (
     LangchainIntegration,
@@ -63,7 +64,6 @@ def _llm_type(self) -> str:
         return llm_type
 
 
-@pytest.mark.xfail
 @pytest.mark.parametrize(
     "send_default_pii, include_prompts, use_unknown_llm_type",
     [
@@ -202,20 +202,17 @@ def test_langchain_agent(
     # We can't guarantee anything about the "shape" of the langchain execution graph
     assert len(list(x for x in tx["spans"] if x["op"] == "gen_ai.chat")) > 0
 
-    assert "gen_ai.usage.input_tokens" in chat_spans[0]["data"]
-    assert "gen_ai.usage.output_tokens" in chat_spans[0]["data"]
-    assert "gen_ai.usage.total_tokens" in chat_spans[0]["data"]
+    # Token usage is only available in newer versions of langchain (v0.2+)
+    # where usage_metadata is supported on AIMessageChunk
+    if "gen_ai.usage.input_tokens" in chat_spans[0]["data"]:
+        assert chat_spans[0]["data"]["gen_ai.usage.input_tokens"] == 142
+        assert chat_spans[0]["data"]["gen_ai.usage.output_tokens"] == 50
+        assert chat_spans[0]["data"]["gen_ai.usage.total_tokens"] == 192
 
-    assert chat_spans[0]["data"]["gen_ai.usage.input_tokens"] == 142
-    assert chat_spans[0]["data"]["gen_ai.usage.output_tokens"] == 50
-    assert chat_spans[0]["data"]["gen_ai.usage.total_tokens"] == 192
-
-    assert "gen_ai.usage.input_tokens" in chat_spans[1]["data"]
-    assert "gen_ai.usage.output_tokens" in chat_spans[1]["data"]
-    assert "gen_ai.usage.total_tokens" in chat_spans[1]["data"]
-    assert chat_spans[1]["data"]["gen_ai.usage.input_tokens"] == 89
-    assert chat_spans[1]["data"]["gen_ai.usage.output_tokens"] == 28
-    assert chat_spans[1]["data"]["gen_ai.usage.total_tokens"] == 117
+    if "gen_ai.usage.input_tokens" in chat_spans[1]["data"]:
+        assert chat_spans[1]["data"]["gen_ai.usage.input_tokens"] == 89
+        assert chat_spans[1]["data"]["gen_ai.usage.output_tokens"] == 28
+        assert chat_spans[1]["data"]["gen_ai.usage.total_tokens"] == 117
 
     if send_default_pii and include_prompts:
         assert (
@@ -223,8 +220,8 @@ def test_langchain_agent(
             in chat_spans[0]["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES]
         )
         assert "5" in chat_spans[0]["data"][SPANDATA.GEN_AI_RESPONSE_TEXT]
-        assert "word" in tool_exec_span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES]
-        assert 5 == int(tool_exec_span["data"][SPANDATA.GEN_AI_RESPONSE_TEXT])
+        assert "word" in tool_exec_span["data"][SPANDATA.GEN_AI_TOOL_INPUT]
+        assert 5 == int(tool_exec_span["data"][SPANDATA.GEN_AI_TOOL_OUTPUT])
         assert (
             "You are very powerful"
             in chat_spans[1]["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES]
@@ -248,8 +245,8 @@ def test_langchain_agent(
         assert SPANDATA.GEN_AI_RESPONSE_TEXT not in chat_spans[0].get("data", {})
         assert SPANDATA.GEN_AI_REQUEST_MESSAGES not in chat_spans[1].get("data", {})
         assert SPANDATA.GEN_AI_RESPONSE_TEXT not in chat_spans[1].get("data", {})
-        assert SPANDATA.GEN_AI_REQUEST_MESSAGES not in tool_exec_span.get("data", {})
-        assert SPANDATA.GEN_AI_RESPONSE_TEXT not in tool_exec_span.get("data", {})
+        assert SPANDATA.GEN_AI_TOOL_INPUT not in tool_exec_span.get("data", {})
+        assert SPANDATA.GEN_AI_TOOL_OUTPUT not in tool_exec_span.get("data", {})
 
         # Verify tool calls are NOT recorded when PII is disabled
         assert SPANDATA.GEN_AI_RESPONSE_TOOL_CALLS not in chat_spans[0].get(
@@ -1039,3 +1036,652 @@ def test_langchain_message_truncation(sentry_init, capture_events):
     assert "small message 4" in str(parsed_messages[0])
     assert "small message 5" in str(parsed_messages[1])
     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_langchain_embeddings_sync(
+    sentry_init, capture_events, send_default_pii, include_prompts
+):
+    """Test that sync embedding methods (embed_documents, embed_query) are properly traced."""
+    try:
+        from langchain_openai import OpenAIEmbeddings
+    except ImportError:
+        pytest.skip("langchain_openai not installed")
+
+    sentry_init(
+        integrations=[LangchainIntegration(include_prompts=include_prompts)],
+        traces_sample_rate=1.0,
+        send_default_pii=send_default_pii,
+    )
+    events = capture_events()
+
+    # Mock the actual API call
+    with mock.patch.object(
+        OpenAIEmbeddings,
+        "embed_documents",
+        wraps=lambda self, texts: [[0.1, 0.2, 0.3] for _ in texts],
+    ) as mock_embed_documents:
+        embeddings = OpenAIEmbeddings(
+            model="text-embedding-ada-002", openai_api_key="test-key"
+        )
+
+        # Force setup to re-run to ensure our mock is wrapped
+        LangchainIntegration.setup_once()
+
+        with start_transaction(name="test_embeddings"):
+            # Test embed_documents
+            result = embeddings.embed_documents(["Hello world", "Test document"])
+
+        assert len(result) == 2
+        mock_embed_documents.assert_called_once()
+
+    # Check captured events
+    assert len(events) >= 1
+    tx = events[0]
+    assert tx["type"] == "transaction"
+
+    # Find embeddings span
+    embeddings_spans = [
+        span for span in tx.get("spans", []) if span.get("op") == "gen_ai.embeddings"
+    ]
+    assert len(embeddings_spans) == 1
+
+    embeddings_span = embeddings_spans[0]
+    assert embeddings_span["description"] == "embeddings text-embedding-ada-002"
+    assert embeddings_span["origin"] == "auto.ai.langchain"
+    assert embeddings_span["data"]["gen_ai.operation.name"] == "embeddings"
+    assert embeddings_span["data"]["gen_ai.request.model"] == "text-embedding-ada-002"
+
+    # Check if input is captured based on PII settings
+    if send_default_pii and include_prompts:
+        assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT in embeddings_span["data"]
+        input_data = embeddings_span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT]
+        # Could be serialized as string
+        if isinstance(input_data, str):
+            assert "Hello world" in input_data
+            assert "Test document" in input_data
+        else:
+            assert "Hello world" in input_data
+            assert "Test document" in input_data
+    else:
+        assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT not in embeddings_span.get("data", {})
+
+
+@pytest.mark.parametrize(
+    "send_default_pii, include_prompts",
+    [
+        (True, True),
+        (False, False),
+    ],
+)
+def test_langchain_embeddings_embed_query(
+    sentry_init, capture_events, send_default_pii, include_prompts
+):
+    """Test that embed_query method is properly traced."""
+    try:
+        from langchain_openai import OpenAIEmbeddings
+    except ImportError:
+        pytest.skip("langchain_openai not installed")
+
+    sentry_init(
+        integrations=[LangchainIntegration(include_prompts=include_prompts)],
+        traces_sample_rate=1.0,
+        send_default_pii=send_default_pii,
+    )
+    events = capture_events()
+
+    # Mock the actual API call
+    with mock.patch.object(
+        OpenAIEmbeddings,
+        "embed_query",
+        wraps=lambda self, text: [0.1, 0.2, 0.3],
+    ) as mock_embed_query:
+        embeddings = OpenAIEmbeddings(
+            model="text-embedding-ada-002", openai_api_key="test-key"
+        )
+
+        # Force setup to re-run to ensure our mock is wrapped
+        LangchainIntegration.setup_once()
+
+        with start_transaction(name="test_embeddings_query"):
+            result = embeddings.embed_query("What is the capital of France?")
+
+        assert len(result) == 3
+        mock_embed_query.assert_called_once()
+
+    # Check captured events
+    assert len(events) >= 1
+    tx = events[0]
+    assert tx["type"] == "transaction"
+
+    # Find embeddings span
+    embeddings_spans = [
+        span for span in tx.get("spans", []) if span.get("op") == "gen_ai.embeddings"
+    ]
+    assert len(embeddings_spans) == 1
+
+    embeddings_span = embeddings_spans[0]
+    assert embeddings_span["data"]["gen_ai.operation.name"] == "embeddings"
+    assert embeddings_span["data"]["gen_ai.request.model"] == "text-embedding-ada-002"
+
+    # Check if input is captured based on PII settings
+    if send_default_pii and include_prompts:
+        assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT in embeddings_span["data"]
+        input_data = embeddings_span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT]
+        # Could be serialized as string
+        if isinstance(input_data, str):
+            assert "What is the capital of France?" in input_data
+        else:
+            assert "What is the capital of France?" in input_data
+    else:
+        assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT not in embeddings_span.get("data", {})
+
+
+@pytest.mark.parametrize(
+    "send_default_pii, include_prompts",
+    [
+        (True, True),
+        (False, False),
+    ],
+)
+@pytest.mark.asyncio
+async def test_langchain_embeddings_async(
+    sentry_init, capture_events, send_default_pii, include_prompts
+):
+    """Test that async embedding methods (aembed_documents, aembed_query) are properly traced."""
+    try:
+        from langchain_openai import OpenAIEmbeddings
+    except ImportError:
+        pytest.skip("langchain_openai not installed")
+
+    sentry_init(
+        integrations=[LangchainIntegration(include_prompts=include_prompts)],
+        traces_sample_rate=1.0,
+        send_default_pii=send_default_pii,
+    )
+    events = capture_events()
+
+    async def mock_aembed_documents(self, texts):
+        return [[0.1, 0.2, 0.3] for _ in texts]
+
+    # Mock the actual API call
+    with mock.patch.object(
+        OpenAIEmbeddings,
+        "aembed_documents",
+        wraps=mock_aembed_documents,
+    ) as mock_aembed:
+        embeddings = OpenAIEmbeddings(
+            model="text-embedding-ada-002", openai_api_key="test-key"
+        )
+
+        # Force setup to re-run to ensure our mock is wrapped
+        LangchainIntegration.setup_once()
+
+        with start_transaction(name="test_async_embeddings"):
+            result = await embeddings.aembed_documents(
+                ["Async hello", "Async test document"]
+            )
+
+        assert len(result) == 2
+        mock_aembed.assert_called_once()
+
+    # Check captured events
+    assert len(events) >= 1
+    tx = events[0]
+    assert tx["type"] == "transaction"
+
+    # Find embeddings span
+    embeddings_spans = [
+        span for span in tx.get("spans", []) if span.get("op") == "gen_ai.embeddings"
+    ]
+    assert len(embeddings_spans) == 1
+
+    embeddings_span = embeddings_spans[0]
+    assert embeddings_span["description"] == "embeddings text-embedding-ada-002"
+    assert embeddings_span["origin"] == "auto.ai.langchain"
+    assert embeddings_span["data"]["gen_ai.operation.name"] == "embeddings"
+    assert embeddings_span["data"]["gen_ai.request.model"] == "text-embedding-ada-002"
+
+    # Check if input is captured based on PII settings
+    if send_default_pii and include_prompts:
+        assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT in embeddings_span["data"]
+        input_data = embeddings_span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT]
+        # Could be serialized as string
+        if isinstance(input_data, str):
+            assert "Async hello" in input_data or "Async test document" in input_data
+        else:
+            assert "Async hello" in input_data or "Async test document" in input_data
+    else:
+        assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT not in embeddings_span.get("data", {})
+
+
+@pytest.mark.asyncio
+async def test_langchain_embeddings_aembed_query(sentry_init, capture_events):
+    """Test that aembed_query method is properly traced."""
+    try:
+        from langchain_openai import OpenAIEmbeddings
+    except ImportError:
+        pytest.skip("langchain_openai not installed")
+
+    sentry_init(
+        integrations=[LangchainIntegration(include_prompts=True)],
+        traces_sample_rate=1.0,
+        send_default_pii=True,
+    )
+    events = capture_events()
+
+    async def mock_aembed_query(self, text):
+        return [0.1, 0.2, 0.3]
+
+    # Mock the actual API call
+    with mock.patch.object(
+        OpenAIEmbeddings,
+        "aembed_query",
+        wraps=mock_aembed_query,
+    ) as mock_aembed:
+        embeddings = OpenAIEmbeddings(
+            model="text-embedding-ada-002", openai_api_key="test-key"
+        )
+
+        # Force setup to re-run to ensure our mock is wrapped
+        LangchainIntegration.setup_once()
+
+        with start_transaction(name="test_async_embeddings_query"):
+            result = await embeddings.aembed_query("Async query test")
+
+        assert len(result) == 3
+        mock_aembed.assert_called_once()
+
+    # Check captured events
+    assert len(events) >= 1
+    tx = events[0]
+    assert tx["type"] == "transaction"
+
+    # Find embeddings span
+    embeddings_spans = [
+        span for span in tx.get("spans", []) if span.get("op") == "gen_ai.embeddings"
+    ]
+    assert len(embeddings_spans) == 1
+
+    embeddings_span = embeddings_spans[0]
+    assert embeddings_span["data"]["gen_ai.operation.name"] == "embeddings"
+    assert embeddings_span["data"]["gen_ai.request.model"] == "text-embedding-ada-002"
+
+    # Check if input is captured
+    assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT in embeddings_span["data"]
+    input_data = embeddings_span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT]
+    # Could be serialized as string
+    if isinstance(input_data, str):
+        assert "Async query test" in input_data
+    else:
+        assert "Async query test" in input_data
+
+
+def test_langchain_embeddings_no_model_name(sentry_init, capture_events):
+    """Test embeddings when model name is not available."""
+    try:
+        from langchain_openai import OpenAIEmbeddings
+    except ImportError:
+        pytest.skip("langchain_openai not installed")
+
+    sentry_init(
+        integrations=[LangchainIntegration(include_prompts=False)],
+        traces_sample_rate=1.0,
+    )
+    events = capture_events()
+
+    # Mock the actual API call and remove model attribute
+    with mock.patch.object(
+        OpenAIEmbeddings,
+        "embed_documents",
+        wraps=lambda self, texts: [[0.1, 0.2, 0.3] for _ in texts],
+    ):
+        embeddings = OpenAIEmbeddings(openai_api_key="test-key")
+        # Remove model attribute to test fallback
+        delattr(embeddings, "model")
+        if hasattr(embeddings, "model_name"):
+            delattr(embeddings, "model_name")
+
+        # Force setup to re-run to ensure our mock is wrapped
+        LangchainIntegration.setup_once()
+
+        with start_transaction(name="test_embeddings_no_model"):
+            embeddings.embed_documents(["Test"])
+
+    # Check captured events
+    assert len(events) >= 1
+    tx = events[0]
+    assert tx["type"] == "transaction"
+
+    # Find embeddings span
+    embeddings_spans = [
+        span for span in tx.get("spans", []) if span.get("op") == "gen_ai.embeddings"
+    ]
+    assert len(embeddings_spans) == 1
+
+    embeddings_span = embeddings_spans[0]
+    assert embeddings_span["description"] == "embeddings"
+    assert embeddings_span["data"]["gen_ai.operation.name"] == "embeddings"
+    # Model name should not be set if not available
+    assert (
+        "gen_ai.request.model" not in embeddings_span["data"]
+        or embeddings_span["data"]["gen_ai.request.model"] is None
+    )
+
+
+def test_langchain_embeddings_integration_disabled(sentry_init, capture_events):
+    """Test that embeddings are not traced when integration is disabled."""
+    try:
+        from langchain_openai import OpenAIEmbeddings
+    except ImportError:
+        pytest.skip("langchain_openai not installed")
+
+    # Initialize without LangchainIntegration
+    sentry_init(traces_sample_rate=1.0)
+    events = capture_events()
+
+    with mock.patch.object(
+        OpenAIEmbeddings,
+        "embed_documents",
+        return_value=[[0.1, 0.2, 0.3]],
+    ):
+        embeddings = OpenAIEmbeddings(
+            model="text-embedding-ada-002", openai_api_key="test-key"
+        )
+
+        with start_transaction(name="test_embeddings_disabled"):
+            embeddings.embed_documents(["Test"])
+
+    # Check that no embeddings spans were created
+    if events:
+        tx = events[0]
+        embeddings_spans = [
+            span
+            for span in tx.get("spans", [])
+            if span.get("op") == "gen_ai.embeddings"
+        ]
+        # Should be empty since integration is disabled
+        assert len(embeddings_spans) == 0
+
+
+def test_langchain_embeddings_multiple_providers(sentry_init, capture_events):
+    """Test that embeddings work with different providers."""
+    try:
+        from langchain_openai import OpenAIEmbeddings, AzureOpenAIEmbeddings
+    except ImportError:
+        pytest.skip("langchain_openai not installed")
+
+    sentry_init(
+        integrations=[LangchainIntegration(include_prompts=True)],
+        traces_sample_rate=1.0,
+        send_default_pii=True,
+    )
+    events = capture_events()
+
+    # Mock both providers
+    with mock.patch.object(
+        OpenAIEmbeddings,
+        "embed_documents",
+        wraps=lambda self, texts: [[0.1, 0.2, 0.3] for _ in texts],
+    ), mock.patch.object(
+        AzureOpenAIEmbeddings,
+        "embed_documents",
+        wraps=lambda self, texts: [[0.4, 0.5, 0.6] for _ in texts],
+    ):
+        openai_embeddings = OpenAIEmbeddings(
+            model="text-embedding-ada-002", openai_api_key="test-key"
+        )
+        azure_embeddings = AzureOpenAIEmbeddings(
+            model="text-embedding-ada-002",
+            azure_endpoint="https://test.openai.azure.com/",
+            openai_api_key="test-key",
+        )
+
+        # Force setup to re-run
+        LangchainIntegration.setup_once()
+
+        with start_transaction(name="test_multiple_providers"):
+            openai_embeddings.embed_documents(["OpenAI test"])
+            azure_embeddings.embed_documents(["Azure test"])
+
+    # Check captured events
+    assert len(events) >= 1
+    tx = events[0]
+    assert tx["type"] == "transaction"
+
+    # Find embeddings spans
+    embeddings_spans = [
+        span for span in tx.get("spans", []) if span.get("op") == "gen_ai.embeddings"
+    ]
+    # Should have 2 spans, one for each provider
+    assert len(embeddings_spans) == 2
+
+    # Verify both spans have proper data
+    for span in embeddings_spans:
+        assert span["data"]["gen_ai.operation.name"] == "embeddings"
+        assert span["data"]["gen_ai.request.model"] == "text-embedding-ada-002"
+        assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT in span["data"]
+
+
+def test_langchain_embeddings_error_handling(sentry_init, capture_events):
+    """Test that errors in embeddings are properly captured."""
+    try:
+        from langchain_openai import OpenAIEmbeddings
+    except ImportError:
+        pytest.skip("langchain_openai not installed")
+
+    sentry_init(
+        integrations=[LangchainIntegration(include_prompts=True)],
+        traces_sample_rate=1.0,
+        send_default_pii=True,
+    )
+    events = capture_events()
+
+    # Mock the API call to raise an error
+    with mock.patch.object(
+        OpenAIEmbeddings,
+        "embed_documents",
+        side_effect=ValueError("API error"),
+    ):
+        embeddings = OpenAIEmbeddings(
+            model="text-embedding-ada-002", openai_api_key="test-key"
+        )
+
+        # Force setup to re-run
+        LangchainIntegration.setup_once()
+
+        with start_transaction(name="test_embeddings_error"):
+            with pytest.raises(ValueError):
+                embeddings.embed_documents(["Test"])
+
+    # The error should be captured
+    assert len(events) >= 1
+    # We should have both the transaction and potentially an error event
+    [e for e in events if e.get("level") == "error"]
+    # Note: errors might not be auto-captured depending on SDK settings,
+    # but the span should still be created
+
+
+def test_langchain_embeddings_multiple_calls(sentry_init, capture_events):
+    """Test that multiple embeddings calls within a transaction are all traced."""
+    try:
+        from langchain_openai import OpenAIEmbeddings
+    except ImportError:
+        pytest.skip("langchain_openai not installed")
+
+    sentry_init(
+        integrations=[LangchainIntegration(include_prompts=True)],
+        traces_sample_rate=1.0,
+        send_default_pii=True,
+    )
+    events = capture_events()
+
+    # Mock the actual API calls
+    with mock.patch.object(
+        OpenAIEmbeddings,
+        "embed_documents",
+        wraps=lambda self, texts: [[0.1, 0.2, 0.3] for _ in texts],
+    ), mock.patch.object(
+        OpenAIEmbeddings,
+        "embed_query",
+        wraps=lambda self, text: [0.4, 0.5, 0.6],
+    ):
+        embeddings = OpenAIEmbeddings(
+            model="text-embedding-ada-002", openai_api_key="test-key"
+        )
+
+        # Force setup to re-run
+        LangchainIntegration.setup_once()
+
+        with start_transaction(name="test_multiple_embeddings"):
+            # Call embed_documents
+            embeddings.embed_documents(["First batch", "Second batch"])
+            # Call embed_query
+            embeddings.embed_query("Single query")
+            # Call embed_documents again
+            embeddings.embed_documents(["Third batch"])
+
+    # Check captured events
+    assert len(events) >= 1
+    tx = events[0]
+    assert tx["type"] == "transaction"
+
+    # Find embeddings spans - should have 3 (2 embed_documents + 1 embed_query)
+    embeddings_spans = [
+        span for span in tx.get("spans", []) if span.get("op") == "gen_ai.embeddings"
+    ]
+    assert len(embeddings_spans) == 3
+
+    # Verify all spans have proper data
+    for span in embeddings_spans:
+        assert span["data"]["gen_ai.operation.name"] == "embeddings"
+        assert span["data"]["gen_ai.request.model"] == "text-embedding-ada-002"
+        assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT in span["data"]
+
+    # Verify the input data is different for each span
+    input_data_list = [
+        span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT] for span in embeddings_spans
+    ]
+    # They should all be different (different inputs)
+    assert len(set(str(data) for data in input_data_list)) == 3
+
+
+def test_langchain_embeddings_span_hierarchy(sentry_init, capture_events):
+    """Test that embeddings spans are properly nested within parent spans."""
+    try:
+        from langchain_openai import OpenAIEmbeddings
+    except ImportError:
+        pytest.skip("langchain_openai not installed")
+
+    sentry_init(
+        integrations=[LangchainIntegration(include_prompts=True)],
+        traces_sample_rate=1.0,
+        send_default_pii=True,
+    )
+    events = capture_events()
+
+    # Mock the actual API call
+    with mock.patch.object(
+        OpenAIEmbeddings,
+        "embed_documents",
+        wraps=lambda self, texts: [[0.1, 0.2, 0.3] for _ in texts],
+    ):
+        embeddings = OpenAIEmbeddings(
+            model="text-embedding-ada-002", openai_api_key="test-key"
+        )
+
+        # Force setup to re-run
+        LangchainIntegration.setup_once()
+
+        with start_transaction(name="test_span_hierarchy"):
+            with sentry_sdk.start_span(op="custom", name="custom operation"):
+                embeddings.embed_documents(["Test within custom span"])
+
+    # Check captured events
+    assert len(events) >= 1
+    tx = events[0]
+    assert tx["type"] == "transaction"
+
+    # Find all spans
+    embeddings_spans = [
+        span for span in tx.get("spans", []) if span.get("op") == "gen_ai.embeddings"
+    ]
+    custom_spans = [span for span in tx.get("spans", []) if span.get("op") == "custom"]
+
+    assert len(embeddings_spans) == 1
+    assert len(custom_spans) == 1
+
+    # Both spans should exist
+    embeddings_span = embeddings_spans[0]
+    custom_span = custom_spans[0]
+
+    assert embeddings_span["data"]["gen_ai.operation.name"] == "embeddings"
+    assert custom_span["description"] == "custom operation"
+
+
+def test_langchain_embeddings_with_list_and_string_inputs(sentry_init, capture_events):
+    """Test that embeddings correctly handle both list and string inputs."""
+    try:
+        from langchain_openai import OpenAIEmbeddings
+    except ImportError:
+        pytest.skip("langchain_openai not installed")
+
+    sentry_init(
+        integrations=[LangchainIntegration(include_prompts=True)],
+        traces_sample_rate=1.0,
+        send_default_pii=True,
+    )
+    events = capture_events()
+
+    # Mock the actual API calls
+    with mock.patch.object(
+        OpenAIEmbeddings,
+        "embed_documents",
+        wraps=lambda self, texts: [[0.1, 0.2, 0.3] for _ in texts],
+    ), mock.patch.object(
+        OpenAIEmbeddings,
+        "embed_query",
+        wraps=lambda self, text: [0.4, 0.5, 0.6],
+    ):
+        embeddings = OpenAIEmbeddings(
+            model="text-embedding-ada-002", openai_api_key="test-key"
+        )
+
+        # Force setup to re-run
+        LangchainIntegration.setup_once()
+
+        with start_transaction(name="test_input_types"):
+            # embed_documents takes a list
+            embeddings.embed_documents(["List item 1", "List item 2", "List item 3"])
+            # embed_query takes a string
+            embeddings.embed_query("Single string query")
+
+    # Check captured events
+    assert len(events) >= 1
+    tx = events[0]
+    assert tx["type"] == "transaction"
+
+    # Find embeddings spans
+    embeddings_spans = [
+        span for span in tx.get("spans", []) if span.get("op") == "gen_ai.embeddings"
+    ]
+    assert len(embeddings_spans) == 2
+
+    # Both should have input data captured as lists
+    for span in embeddings_spans:
+        assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT in span["data"]
+        input_data = span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT]
+        # Input should be normalized to list format
+        if isinstance(input_data, str):
+            # If serialized, should contain the input text
+            assert "List item" in input_data or "Single string query" in input_data, (
+                f"Expected input text in serialized data: {input_data}"
+            )
diff --git a/tests/integrations/launchdarkly/test_launchdarkly.py b/tests/integrations/launchdarkly/test_launchdarkly.py
index 20bb4d031f..e588b596d3 100644
--- a/tests/integrations/launchdarkly/test_launchdarkly.py
+++ b/tests/integrations/launchdarkly/test_launchdarkly.py
@@ -199,8 +199,14 @@ def test_launchdarkly_integration_did_not_enable(monkeypatch):
     with pytest.raises(DidNotEnable):
         LaunchDarklyIntegration()
 
+    td = TestData.data_source()
+    # Disable background requests as we aren't using a server.
+    # Required because we corrupt the internal state above.
+    config = Config(
+        "sdk-key", update_processor_class=td, diagnostic_opt_out=True, send_events=False
+    )
     # Client not initialized.
-    client = LDClient(config=Config("sdk-key"))
+    client = LDClient(config=config)
     monkeypatch.setattr(client, "is_initialized", lambda: False)
     with pytest.raises(DidNotEnable):
         LaunchDarklyIntegration(ld_client=client)
diff --git a/tests/integrations/litellm/test_litellm.py b/tests/integrations/litellm/test_litellm.py
index 8e1ad21254..1b925fb61f 100644
--- a/tests/integrations/litellm/test_litellm.py
+++ b/tests/integrations/litellm/test_litellm.py
@@ -1,5 +1,6 @@
 import json
 import pytest
+import time
 from unittest import mock
 from datetime import datetime
 
@@ -17,6 +18,7 @@ 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.integrations.litellm import (
@@ -31,6 +33,36 @@ async def __call__(self, *args, **kwargs):
 LITELLM_VERSION = package_version("litellm")
 
 
+@pytest.fixture
+def clear_litellm_cache():
+    """
+    Clear litellm's client cache and reset integration state to ensure test isolation.
+
+    The LiteLLM integration uses setup_once() which only runs once per Python process.
+    This fixture ensures the integration is properly re-initialized for each test.
+    """
+
+    # Stop all existing mocks
+    mock.patch.stopall()
+
+    # Clear client cache
+    if (
+        hasattr(litellm, "in_memory_llm_clients_cache")
+        and litellm.in_memory_llm_clients_cache
+    ):
+        litellm.in_memory_llm_clients_cache.flush_cache()
+
+    yield
+
+    # Clean up after test as well
+    mock.patch.stopall()
+    if (
+        hasattr(litellm, "in_memory_llm_clients_cache")
+        and litellm.in_memory_llm_clients_cache
+    ):
+        litellm.in_memory_llm_clients_cache.flush_cache()
+
+
 # Mock response objects
 class MockMessage:
     def __init__(self, role="assistant", content="Test response"):
@@ -87,6 +119,21 @@ def __init__(self, model="text-embedding-ada-002", data=None, usage=None):
         )
         self.object = "list"
 
+    def model_dump(self):
+        return {
+            "model": self.model,
+            "data": [
+                {"embedding": d.embedding, "index": d.index, "object": d.object}
+                for d in self.data
+            ],
+            "usage": {
+                "prompt_tokens": self.usage.prompt_tokens,
+                "completion_tokens": self.usage.completion_tokens,
+                "total_tokens": self.usage.total_tokens,
+            },
+            "object": self.object,
+        }
+
 
 @pytest.mark.parametrize(
     "send_default_pii, include_prompts",
@@ -201,7 +248,13 @@ def test_streaming_chat_completion(
     assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True
 
 
-def test_embeddings_create(sentry_init, capture_events):
+def test_embeddings_create(sentry_init, capture_events, clear_litellm_cache):
+    """
+    Test that litellm.embedding() calls are properly instrumented.
+
+    This test calls the actual litellm.embedding() function (not just callbacks)
+    to ensure proper integration testing.
+    """
     sentry_init(
         integrations=[LiteLLMIntegration(include_prompts=True)],
         traces_sample_rate=1.0,
@@ -209,36 +262,131 @@ def test_embeddings_create(sentry_init, capture_events):
     )
     events = capture_events()
 
-    messages = [{"role": "user", "content": "Some text to test embeddings"}]
     mock_response = MockEmbeddingResponse()
 
-    with start_transaction(name="litellm test"):
-        kwargs = {
-            "model": "text-embedding-ada-002",
-            "input": "Hello!",
-            "messages": messages,
-            "call_type": "embedding",
-        }
+    # Mock within the test to ensure proper ordering with cache clearing
+    with mock.patch(
+        "litellm.openai_chat_completions.make_sync_openai_embedding_request"
+    ) as mock_http:
+        # The function returns (headers, response)
+        mock_http.return_value = ({}, mock_response)
+
+        with start_transaction(name="litellm test"):
+            response = litellm.embedding(
+                model="text-embedding-ada-002",
+                input="Hello, world!",
+                api_key="test-key",  # Provide a fake API key to avoid authentication errors
+            )
+            # Allow time for callbacks to complete (they may run in separate threads)
+            time.sleep(0.1)
+
+        # Response is processed by litellm, so just check it exists
+        assert response is not None
+        assert len(events) == 1
+        (event,) = events
+
+        assert event["type"] == "transaction"
+        assert len(event["spans"]) == 1
+        (span,) = event["spans"]
+
+        assert span["op"] == OP.GEN_AI_EMBEDDINGS
+        assert span["description"] == "embeddings text-embedding-ada-002"
+        assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "embeddings"
+        assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 5
+        assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "text-embedding-ada-002"
+        # Check that embeddings input is captured (it's JSON serialized)
+        embeddings_input = span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT]
+        assert json.loads(embeddings_input) == ["Hello, world!"]
+
+
+def test_embeddings_create_with_list_input(
+    sentry_init, capture_events, clear_litellm_cache
+):
+    """Test embedding with list input."""
+    sentry_init(
+        integrations=[LiteLLMIntegration(include_prompts=True)],
+        traces_sample_rate=1.0,
+        send_default_pii=True,
+    )
+    events = capture_events()
 
-        _input_callback(kwargs)
-        _success_callback(
-            kwargs,
-            mock_response,
-            datetime.now(),
-            datetime.now(),
-        )
+    mock_response = MockEmbeddingResponse()
 
-    assert len(events) == 1
-    (event,) = events
+    # Mock within the test to ensure proper ordering with cache clearing
+    with mock.patch(
+        "litellm.openai_chat_completions.make_sync_openai_embedding_request"
+    ) as mock_http:
+        # The function returns (headers, response)
+        mock_http.return_value = ({}, mock_response)
+
+        with start_transaction(name="litellm test"):
+            response = litellm.embedding(
+                model="text-embedding-ada-002",
+                input=["First text", "Second text", "Third text"],
+                api_key="test-key",  # Provide a fake API key to avoid authentication errors
+            )
+            # Allow time for callbacks to complete (they may run in separate threads)
+            time.sleep(0.1)
+
+        # Response is processed by litellm, so just check it exists
+        assert response is not None
+        assert len(events) == 1
+        (event,) = events
+
+        assert event["type"] == "transaction"
+        assert len(event["spans"]) == 1
+        (span,) = event["spans"]
+
+        assert span["op"] == OP.GEN_AI_EMBEDDINGS
+        assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "embeddings"
+        # Check that list of embeddings input is captured (it's JSON serialized)
+        embeddings_input = span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT]
+        assert json.loads(embeddings_input) == [
+            "First text",
+            "Second text",
+            "Third text",
+        ]
+
+
+def test_embeddings_no_pii(sentry_init, capture_events, clear_litellm_cache):
+    """Test that PII is not captured when disabled."""
+    sentry_init(
+        integrations=[LiteLLMIntegration(include_prompts=True)],
+        traces_sample_rate=1.0,
+        send_default_pii=False,  # PII disabled
+    )
+    events = capture_events()
 
-    assert event["type"] == "transaction"
-    assert len(event["spans"]) == 1
-    (span,) = event["spans"]
+    mock_response = MockEmbeddingResponse()
+
+    # Mock within the test to ensure proper ordering with cache clearing
+    with mock.patch(
+        "litellm.openai_chat_completions.make_sync_openai_embedding_request"
+    ) as mock_http:
+        # The function returns (headers, response)
+        mock_http.return_value = ({}, mock_response)
+
+        with start_transaction(name="litellm test"):
+            response = litellm.embedding(
+                model="text-embedding-ada-002",
+                input="Hello, world!",
+                api_key="test-key",  # Provide a fake API key to avoid authentication errors
+            )
+            # Allow time for callbacks to complete (they may run in separate threads)
+            time.sleep(0.1)
+
+        # Response is processed by litellm, so just check it exists
+        assert response is not None
+        assert len(events) == 1
+        (event,) = events
+
+        assert event["type"] == "transaction"
+        assert len(event["spans"]) == 1
+        (span,) = event["spans"]
 
-    assert span["op"] == OP.GEN_AI_EMBEDDINGS
-    assert span["description"] == "embeddings text-embedding-ada-002"
-    assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "embeddings"
-    assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 5
+        assert span["op"] == OP.GEN_AI_EMBEDDINGS
+        # Check that embeddings input is NOT captured when PII is disabled
+        assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT not in span["data"]
 
 
 def test_exception_handling(sentry_init, capture_events):
diff --git a/tests/integrations/logging/test_logging.py b/tests/integrations/logging/test_logging.py
index 7a00ceadd2..e7849253d6 100644
--- a/tests/integrations/logging/test_logging.py
+++ b/tests/integrations/logging/test_logging.py
@@ -320,7 +320,7 @@ def test_sentry_logs_warning(sentry_init, capture_envelopes):
     assert attrs["sentry.environment"] == "production"
     assert attrs["sentry.message.parameter.0"] == "1"
     assert attrs["sentry.message.parameter.1"] == "2"
-    assert attrs["sentry.origin"] == "auto.logger.log"
+    assert attrs["sentry.origin"] == "auto.log.stdlib"
     assert logs[0]["severity_number"] == 13
     assert logs[0]["severity_text"] == "warn"
 
@@ -478,13 +478,17 @@ def test_logger_with_all_attributes(sentry_init, capture_envelopes):
 
     assert attributes.pop("sentry.sdk.name").startswith("sentry.python")
 
+    assert "sentry.trace.parent_span_id" in attributes
+    assert isinstance(attributes["sentry.trace.parent_span_id"], str)
+    del attributes["sentry.trace.parent_span_id"]
+
     # Assert on the remaining non-dynamic attributes.
     assert attributes == {
         "foo": "bar",
         "numeric": 42,
         "more_complex": "{'nested': 'data'}",
         "logger.name": "test-logger",
-        "sentry.origin": "auto.logger.log",
+        "sentry.origin": "auto.log.stdlib",
         "sentry.message.template": "log #%d",
         "sentry.message.parameter.0": 1,
         "sentry.environment": "production",
@@ -534,7 +538,7 @@ def test_sentry_logs_named_parameters(sentry_init, capture_envelopes):
 
     # Check other standard attributes
     assert attrs["logger.name"] == "test-logger"
-    assert attrs["sentry.origin"] == "auto.logger.log"
+    assert attrs["sentry.origin"] == "auto.log.stdlib"
     assert logs[0]["severity_number"] == 9  # info level
     assert logs[0]["severity_text"] == "info"
 
diff --git a/tests/integrations/loguru/test_loguru.py b/tests/integrations/loguru/test_loguru.py
index 3d04d7d1ea..ed7650700f 100644
--- a/tests/integrations/loguru/test_loguru.py
+++ b/tests/integrations/loguru/test_loguru.py
@@ -154,7 +154,7 @@ def test_sentry_logs_warning(
     assert "code.line.number" in attrs
     assert attrs["logger.name"] == "tests.integrations.loguru.test_loguru"
     assert attrs["sentry.environment"] == "production"
-    assert attrs["sentry.origin"] == "auto.logger.loguru"
+    assert attrs["sentry.origin"] == "auto.log.loguru"
     assert logs[0]["severity_number"] == 13
     assert logs[0]["severity_text"] == "warn"
 
@@ -458,10 +458,14 @@ def test_logger_with_all_attributes(
 
     assert attributes.pop("sentry.sdk.name").startswith("sentry.python")
 
+    assert "sentry.trace.parent_span_id" in attributes
+    assert isinstance(attributes["sentry.trace.parent_span_id"], str)
+    del attributes["sentry.trace.parent_span_id"]
+
     # Assert on the remaining non-dynamic attributes.
     assert attributes == {
         "logger.name": "tests.integrations.loguru.test_loguru",
-        "sentry.origin": "auto.logger.loguru",
+        "sentry.origin": "auto.log.loguru",
         "sentry.environment": "production",
         "sentry.sdk.version": VERSION,
         "sentry.severity_number": 13,
@@ -469,6 +473,103 @@ def test_logger_with_all_attributes(
     }
 
 
+def test_logger_capture_parameters_from_args(
+    sentry_init, capture_envelopes, uninstall_integration, request
+):
+    # This is currently not supported as regular args don't get added to extra
+    # (which we use for populating parameters). Adding this test to make that
+    # explicit and so that it's easy to change later.
+    uninstall_integration("loguru")
+    request.addfinalizer(logger.remove)
+
+    sentry_init(enable_logs=True)
+    envelopes = capture_envelopes()
+
+    logger.warning("Task ID: {}", 123)
+
+    sentry_sdk.get_client().flush()
+
+    logs = envelopes_to_logs(envelopes)
+
+    attributes = logs[0]["attributes"]
+    assert "sentry.message.parameter.0" not in attributes
+
+
+def test_logger_capture_parameters_from_kwargs(
+    sentry_init, capture_envelopes, uninstall_integration, request
+):
+    uninstall_integration("loguru")
+    request.addfinalizer(logger.remove)
+
+    sentry_init(enable_logs=True)
+    envelopes = capture_envelopes()
+
+    logger.warning("Task ID: {task_id}", task_id=123)
+
+    sentry_sdk.get_client().flush()
+
+    logs = envelopes_to_logs(envelopes)
+
+    attributes = logs[0]["attributes"]
+    assert attributes["sentry.message.parameter.task_id"] == 123
+
+
+def test_logger_capture_parameters_from_contextualize(
+    sentry_init, capture_envelopes, uninstall_integration, request
+):
+    uninstall_integration("loguru")
+    request.addfinalizer(logger.remove)
+
+    sentry_init(enable_logs=True)
+    envelopes = capture_envelopes()
+
+    with logger.contextualize(task_id=123):
+        logger.warning("Log")
+
+    sentry_sdk.get_client().flush()
+
+    logs = envelopes_to_logs(envelopes)
+
+    attributes = logs[0]["attributes"]
+    assert attributes["sentry.message.parameter.task_id"] == 123
+
+
+def test_logger_capture_parameters_from_bind(
+    sentry_init, capture_envelopes, uninstall_integration, request
+):
+    uninstall_integration("loguru")
+    request.addfinalizer(logger.remove)
+
+    sentry_init(enable_logs=True)
+    envelopes = capture_envelopes()
+
+    logger.bind(task_id=123).warning("Log")
+    sentry_sdk.get_client().flush()
+
+    logs = envelopes_to_logs(envelopes)
+
+    attributes = logs[0]["attributes"]
+    assert attributes["sentry.message.parameter.task_id"] == 123
+
+
+def test_logger_capture_parameters_from_patch(
+    sentry_init, capture_envelopes, uninstall_integration, request
+):
+    uninstall_integration("loguru")
+    request.addfinalizer(logger.remove)
+
+    sentry_init(enable_logs=True)
+    envelopes = capture_envelopes()
+
+    logger.patch(lambda record: record["extra"].update(task_id=123)).warning("Log")
+    sentry_sdk.get_client().flush()
+
+    logs = envelopes_to_logs(envelopes)
+
+    attributes = logs[0]["attributes"]
+    assert attributes["sentry.message.parameter.task_id"] == 123
+
+
 def test_no_parameters_no_template(
     sentry_init, capture_envelopes, uninstall_integration, request
 ):
diff --git a/tests/integrations/mcp/test_mcp.py b/tests/integrations/mcp/test_mcp.py
index 738fdedf48..508aea5a3a 100644
--- a/tests/integrations/mcp/test_mcp.py
+++ b/tests/integrations/mcp/test_mcp.py
@@ -76,21 +76,29 @@ def __str__(self):
 class MockRequestContext:
     """Mock MCP request context"""
 
-    def __init__(self, request_id=None, session_id=None, transport="pipe"):
+    def __init__(self, request_id=None, session_id=None, transport="stdio"):
         self.request_id = request_id
-        if transport == "tcp":
-            self.request = MockHTTPRequest(session_id)
+        if transport in ("http", "sse"):
+            self.request = MockHTTPRequest(session_id, transport)
         else:
             self.request = None
 
 
 class MockHTTPRequest:
-    """Mock HTTP request for SSE/WebSocket transport"""
+    """Mock HTTP request for SSE/StreamableHTTP transport"""
 
-    def __init__(self, session_id=None):
+    def __init__(self, session_id=None, transport="http"):
         self.headers = {}
-        if session_id:
-            self.headers["mcp-session-id"] = session_id
+        self.query_params = {}
+
+        if transport == "sse":
+            # SSE transport uses query parameter
+            if session_id:
+                self.query_params["session_id"] = session_id
+        else:
+            # StreamableHTTP transport uses header
+            if session_id:
+                self.headers["mcp-session-id"] = session_id
 
 
 class MockTextContent:
@@ -151,7 +159,7 @@ def test_tool_handler_sync(
     server = Server("test-server")
 
     # Set up mock request context
-    mock_ctx = MockRequestContext(request_id="req-123", transport="pipe")
+    mock_ctx = MockRequestContext(request_id="req-123", transport="stdio")
     request_ctx.set(mock_ctx)
 
     @server.call_tool()
@@ -176,7 +184,7 @@ def test_tool(tool_name, arguments):
     # Check span data
     assert span["data"][SPANDATA.MCP_TOOL_NAME] == "calculate"
     assert span["data"][SPANDATA.MCP_METHOD_NAME] == "tools/call"
-    assert span["data"][SPANDATA.MCP_TRANSPORT] == "pipe"
+    assert span["data"][SPANDATA.MCP_TRANSPORT] == "stdio"
     assert span["data"][SPANDATA.MCP_REQUEST_ID] == "req-123"
     assert span["data"]["mcp.request.argument.x"] == "10"
     assert span["data"]["mcp.request.argument.y"] == "5"
@@ -215,7 +223,7 @@ async def test_tool_handler_async(
 
     # Set up mock request context
     mock_ctx = MockRequestContext(
-        request_id="req-456", session_id="session-789", transport="tcp"
+        request_id="req-456", session_id="session-789", transport="http"
     )
     request_ctx.set(mock_ctx)
 
@@ -240,7 +248,7 @@ async def test_tool_async(tool_name, arguments):
     # Check span data
     assert span["data"][SPANDATA.MCP_TOOL_NAME] == "process"
     assert span["data"][SPANDATA.MCP_METHOD_NAME] == "tools/call"
-    assert span["data"][SPANDATA.MCP_TRANSPORT] == "tcp"
+    assert span["data"][SPANDATA.MCP_TRANSPORT] == "http"
     assert span["data"][SPANDATA.MCP_REQUEST_ID] == "req-456"
     assert span["data"][SPANDATA.MCP_SESSION_ID] == "session-789"
     assert span["data"]["mcp.request.argument.data"] == '"test"'
@@ -265,7 +273,7 @@ def test_tool_handler_with_error(sentry_init, capture_events):
     server = Server("test-server")
 
     # Set up mock request context
-    mock_ctx = MockRequestContext(request_id="req-error", transport="pipe")
+    mock_ctx = MockRequestContext(request_id="req-error", transport="stdio")
     request_ctx.set(mock_ctx)
 
     @server.call_tool()
@@ -313,7 +321,7 @@ def test_prompt_handler_sync(
     server = Server("test-server")
 
     # Set up mock request context
-    mock_ctx = MockRequestContext(request_id="req-prompt", transport="pipe")
+    mock_ctx = MockRequestContext(request_id="req-prompt", transport="stdio")
     request_ctx.set(mock_ctx)
 
     @server.get_prompt()
@@ -338,7 +346,7 @@ def test_prompt(name, arguments):
     # Check span data
     assert span["data"][SPANDATA.MCP_PROMPT_NAME] == "code_help"
     assert span["data"][SPANDATA.MCP_METHOD_NAME] == "prompts/get"
-    assert span["data"][SPANDATA.MCP_TRANSPORT] == "pipe"
+    assert span["data"][SPANDATA.MCP_TRANSPORT] == "stdio"
     assert span["data"][SPANDATA.MCP_REQUEST_ID] == "req-prompt"
     assert span["data"]["mcp.request.argument.name"] == '"code_help"'
     assert span["data"]["mcp.request.argument.language"] == '"python"'
@@ -378,7 +386,7 @@ async def test_prompt_handler_async(
 
     # Set up mock request context
     mock_ctx = MockRequestContext(
-        request_id="req-async-prompt", session_id="session-abc", transport="tcp"
+        request_id="req-async-prompt", session_id="session-abc", transport="http"
     )
     request_ctx.set(mock_ctx)
 
@@ -422,7 +430,7 @@ def test_prompt_handler_with_error(sentry_init, capture_events):
     server = Server("test-server")
 
     # Set up mock request context
-    mock_ctx = MockRequestContext(request_id="req-error-prompt", transport="pipe")
+    mock_ctx = MockRequestContext(request_id="req-error-prompt", transport="stdio")
     request_ctx.set(mock_ctx)
 
     @server.get_prompt()
@@ -452,7 +460,7 @@ def test_resource_handler_sync(sentry_init, capture_events):
     server = Server("test-server")
 
     # Set up mock request context
-    mock_ctx = MockRequestContext(request_id="req-resource", transport="pipe")
+    mock_ctx = MockRequestContext(request_id="req-resource", transport="stdio")
     request_ctx.set(mock_ctx)
 
     @server.read_resource()
@@ -477,7 +485,7 @@ def test_resource(uri):
     # Check span data
     assert span["data"][SPANDATA.MCP_RESOURCE_URI] == "file:///path/to/file.txt"
     assert span["data"][SPANDATA.MCP_METHOD_NAME] == "resources/read"
-    assert span["data"][SPANDATA.MCP_TRANSPORT] == "pipe"
+    assert span["data"][SPANDATA.MCP_TRANSPORT] == "stdio"
     assert span["data"][SPANDATA.MCP_REQUEST_ID] == "req-resource"
     assert span["data"][SPANDATA.MCP_RESOURCE_PROTOCOL] == "file"
     # Resources don't capture result content
@@ -497,7 +505,7 @@ async def test_resource_handler_async(sentry_init, capture_events):
 
     # Set up mock request context
     mock_ctx = MockRequestContext(
-        request_id="req-async-resource", session_id="session-res", transport="tcp"
+        request_id="req-async-resource", session_id="session-res", transport="http"
     )
     request_ctx.set(mock_ctx)
 
@@ -535,7 +543,7 @@ def test_resource_handler_with_error(sentry_init, capture_events):
     server = Server("test-server")
 
     # Set up mock request context
-    mock_ctx = MockRequestContext(request_id="req-error-resource", transport="pipe")
+    mock_ctx = MockRequestContext(request_id="req-error-resource", transport="stdio")
     request_ctx.set(mock_ctx)
 
     @server.read_resource()
@@ -573,7 +581,7 @@ def test_tool_result_extraction_tuple(
     server = Server("test-server")
 
     # Set up mock request context
-    mock_ctx = MockRequestContext(request_id="req-tuple", transport="pipe")
+    mock_ctx = MockRequestContext(request_id="req-tuple", transport="stdio")
     request_ctx.set(mock_ctx)
 
     @server.call_tool()
@@ -621,7 +629,7 @@ def test_tool_result_extraction_unstructured(
     server = Server("test-server")
 
     # Set up mock request context
-    mock_ctx = MockRequestContext(request_id="req-unstructured", transport="pipe")
+    mock_ctx = MockRequestContext(request_id="req-unstructured", transport="stdio")
     request_ctx.set(mock_ctx)
 
     @server.call_tool()
@@ -678,7 +686,7 @@ def test_tool_no_ctx(tool_name, arguments):
     span = tx["spans"][0]
 
     # Transport defaults to "pipe" when no context
-    assert span["data"][SPANDATA.MCP_TRANSPORT] == "pipe"
+    assert span["data"][SPANDATA.MCP_TRANSPORT] == "stdio"
     # Request ID and Session ID should not be present
     assert SPANDATA.MCP_REQUEST_ID not in span["data"]
     assert SPANDATA.MCP_SESSION_ID not in span["data"]
@@ -695,7 +703,7 @@ def test_span_origin(sentry_init, capture_events):
     server = Server("test-server")
 
     # Set up mock request context
-    mock_ctx = MockRequestContext(request_id="req-origin", transport="pipe")
+    mock_ctx = MockRequestContext(request_id="req-origin", transport="stdio")
     request_ctx.set(mock_ctx)
 
     @server.call_tool()
@@ -722,7 +730,7 @@ def test_multiple_handlers(sentry_init, capture_events):
     server = Server("test-server")
 
     # Set up mock request context
-    mock_ctx = MockRequestContext(request_id="req-multi", transport="pipe")
+    mock_ctx = MockRequestContext(request_id="req-multi", transport="stdio")
     request_ctx.set(mock_ctx)
 
     @server.call_tool()
@@ -774,7 +782,7 @@ def test_prompt_with_dict_result(
     server = Server("test-server")
 
     # Set up mock request context
-    mock_ctx = MockRequestContext(request_id="req-dict-prompt", transport="pipe")
+    mock_ctx = MockRequestContext(request_id="req-dict-prompt", transport="stdio")
     request_ctx.set(mock_ctx)
 
     @server.get_prompt()
@@ -818,7 +826,7 @@ def test_resource_without_protocol(sentry_init, capture_events):
     server = Server("test-server")
 
     # Set up mock request context
-    mock_ctx = MockRequestContext(request_id="req-no-proto", transport="pipe")
+    mock_ctx = MockRequestContext(request_id="req-no-proto", transport="stdio")
     request_ctx.set(mock_ctx)
 
     @server.read_resource()
@@ -848,7 +856,7 @@ def test_tool_with_complex_arguments(sentry_init, capture_events):
     server = Server("test-server")
 
     # Set up mock request context
-    mock_ctx = MockRequestContext(request_id="req-complex", transport="pipe")
+    mock_ctx = MockRequestContext(request_id="req-complex", transport="stdio")
     request_ctx.set(mock_ctx)
 
     @server.call_tool()
@@ -886,7 +894,7 @@ async def test_async_handlers_mixed(sentry_init, capture_events):
     server = Server("test-server")
 
     # Set up mock request context
-    mock_ctx = MockRequestContext(request_id="req-mixed", transport="pipe")
+    mock_ctx = MockRequestContext(request_id="req-mixed", transport="stdio")
     request_ctx.set(mock_ctx)
 
     @server.call_tool()
@@ -909,3 +917,104 @@ async def async_tool(tool_name, arguments):
 
     # Both should be instrumented correctly
     assert all(span["op"] == OP.MCP_SERVER for span in tx["spans"])
+
+
+def test_sse_transport_detection(sentry_init, capture_events):
+    """Test that SSE transport is correctly detected via query parameter"""
+    sentry_init(
+        integrations=[MCPIntegration()],
+        traces_sample_rate=1.0,
+    )
+    events = capture_events()
+
+    server = Server("test-server")
+
+    # Set up mock request context with SSE transport
+    mock_ctx = MockRequestContext(
+        request_id="req-sse", session_id="session-sse-123", transport="sse"
+    )
+    request_ctx.set(mock_ctx)
+
+    @server.call_tool()
+    def test_tool(tool_name, arguments):
+        return {"result": "success"}
+
+    with start_transaction(name="mcp tx"):
+        result = test_tool("sse_tool", {})
+
+    assert result == {"result": "success"}
+
+    (tx,) = events
+    span = tx["spans"][0]
+
+    # Check that SSE transport is detected
+    assert span["data"][SPANDATA.MCP_TRANSPORT] == "sse"
+    assert span["data"][SPANDATA.NETWORK_TRANSPORT] == "tcp"
+    assert span["data"][SPANDATA.MCP_SESSION_ID] == "session-sse-123"
+
+
+def test_streamable_http_transport_detection(sentry_init, capture_events):
+    """Test that StreamableHTTP transport is correctly detected via header"""
+    sentry_init(
+        integrations=[MCPIntegration()],
+        traces_sample_rate=1.0,
+    )
+    events = capture_events()
+
+    server = Server("test-server")
+
+    # Set up mock request context with StreamableHTTP transport
+    mock_ctx = MockRequestContext(
+        request_id="req-http", session_id="session-http-456", transport="http"
+    )
+    request_ctx.set(mock_ctx)
+
+    @server.call_tool()
+    def test_tool(tool_name, arguments):
+        return {"result": "success"}
+
+    with start_transaction(name="mcp tx"):
+        result = test_tool("http_tool", {})
+
+    assert result == {"result": "success"}
+
+    (tx,) = events
+    span = tx["spans"][0]
+
+    # Check that HTTP transport is detected
+    assert span["data"][SPANDATA.MCP_TRANSPORT] == "http"
+    assert span["data"][SPANDATA.NETWORK_TRANSPORT] == "tcp"
+    assert span["data"][SPANDATA.MCP_SESSION_ID] == "session-http-456"
+
+
+def test_stdio_transport_detection(sentry_init, capture_events):
+    """Test that stdio transport is correctly detected when no HTTP request"""
+    sentry_init(
+        integrations=[MCPIntegration()],
+        traces_sample_rate=1.0,
+    )
+    events = capture_events()
+
+    server = Server("test-server")
+
+    # Set up mock request context with stdio transport (no HTTP request)
+    mock_ctx = MockRequestContext(request_id="req-stdio", transport="stdio")
+    request_ctx.set(mock_ctx)
+
+    @server.call_tool()
+    def test_tool(tool_name, arguments):
+        return {"result": "success"}
+
+    with start_transaction(name="mcp tx"):
+        result = test_tool("stdio_tool", {})
+
+    assert result == {"result": "success"}
+
+    (tx,) = events
+    span = tx["spans"][0]
+
+    # Check that stdio transport is detected
+    assert span["data"][SPANDATA.MCP_TRANSPORT] == "stdio"
+    assert span["data"][SPANDATA.NETWORK_TRANSPORT] == "pipe"
+    # No session ID for stdio transport
+    assert SPANDATA.MCP_SESSION_ID not in span["data"]
diff --git a/tests/integrations/openai/test_openai.py b/tests/integrations/openai/test_openai.py
index ccef4f336e..febec5a80d 100644
--- a/tests/integrations/openai/test_openai.py
+++ b/tests/integrations/openai/test_openai.py
@@ -501,9 +501,9 @@ def test_embeddings_create(
     span = tx["spans"][0]
     assert span["op"] == "gen_ai.embeddings"
     if send_default_pii and include_prompts:
-        assert "hello" in span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES]
+        assert "hello" in span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT]
     else:
-        assert SPANDATA.GEN_AI_REQUEST_MESSAGES not in span["data"]
+        assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT not in span["data"]
 
     assert span["data"]["gen_ai.usage.input_tokens"] == 20
     assert span["data"]["gen_ai.usage.total_tokens"] == 30
@@ -549,9 +549,9 @@ async def test_embeddings_create_async(
     span = tx["spans"][0]
     assert span["op"] == "gen_ai.embeddings"
     if send_default_pii and include_prompts:
-        assert "hello" in span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES]
+        assert "hello" in span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT]
     else:
-        assert SPANDATA.GEN_AI_REQUEST_MESSAGES not in span["data"]
+        assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT not in span["data"]
 
     assert span["data"]["gen_ai.usage.input_tokens"] == 20
     assert span["data"]["gen_ai.usage.total_tokens"] == 30
diff --git a/tests/integrations/openai_agents/test_openai_agents.py b/tests/integrations/openai_agents/test_openai_agents.py
index bc1de4e95b..6ff29271c3 100644
--- a/tests/integrations/openai_agents/test_openai_agents.py
+++ b/tests/integrations/openai_agents/test_openai_agents.py
@@ -294,9 +294,6 @@ async def test_handoff_span(sentry_init, capture_events, mock_usage):
                         name="transfer_to_secondary_agent",
                         type="function_call",
                         arguments="{}",
-                        function=MagicMock(
-                            name="transfer_to_secondary_agent", arguments="{}"
-                        ),
                     )
                 ],
                 usage=mock_usage,
@@ -377,9 +374,6 @@ def simple_test_tool(message: str) -> str:
                 name="simple_test_tool",
                 type="function_call",
                 arguments='{"message": "hello"}',
-                function=MagicMock(
-                    name="simple_test_tool", arguments='{"message": "hello"}'
-                ),
             )
 
             # First response with tool call
@@ -507,11 +501,7 @@ def simple_test_tool(message: str) -> str:
     assert ai_client_span1["data"]["gen_ai.usage.output_tokens"] == 5
     assert ai_client_span1["data"]["gen_ai.usage.output_tokens.reasoning"] == 0
     assert ai_client_span1["data"]["gen_ai.usage.total_tokens"] == 15
-    assert re.sub(
-        r"SerializationIterator\(.*\)",
-        "NOT_CHECKED",
-        ai_client_span1["data"]["gen_ai.response.tool_calls"],
-    ) == safe_serialize(
+    assert ai_client_span1["data"]["gen_ai.response.tool_calls"] == safe_serialize(
         [
             {
                 "arguments": '{"message": "hello"}',
@@ -520,7 +510,6 @@ def simple_test_tool(message: str) -> str:
                 "type": "function_call",
                 "id": "call_123",
                 "status": None,
-                "function": "NOT_CHECKED",
             }
         ]
     )
@@ -559,11 +548,7 @@ def simple_test_tool(message: str) -> str:
         == available_tools
     )
     assert ai_client_span2["data"]["gen_ai.request.max_tokens"] == 100
-    assert re.sub(
-        r"SerializationIterator\(.*\)",
-        "NOT_CHECKED",
-        ai_client_span2["data"]["gen_ai.request.messages"],
-    ) == safe_serialize(
+    assert ai_client_span2["data"]["gen_ai.request.messages"] == safe_serialize(
         [
             {
                 "role": "system",
@@ -586,7 +571,6 @@ def simple_test_tool(message: str) -> str:
                         "name": "simple_test_tool",
                         "type": "function_call",
                         "id": "call_123",
-                        "function": "NOT_CHECKED",
                     }
                 ],
             },
@@ -664,6 +648,60 @@ async def test_error_handling(sentry_init, capture_events, test_agent):
     assert ai_client_span["tags"]["status"] == "internal_error"
 
 
+@pytest.mark.asyncio
+async def test_error_captures_input_data(sentry_init, capture_events, test_agent):
+    """
+    Test that input data is captured even when the API call raises an exception.
+    This verifies that _set_input_data is called before the API call.
+    """
+    with patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"}):
+        with patch(
+            "agents.models.openai_responses.OpenAIResponsesModel.get_response"
+        ) as mock_get_response:
+            mock_get_response.side_effect = Exception("API Error")
+
+            sentry_init(
+                integrations=[OpenAIAgentsIntegration()],
+                traces_sample_rate=1.0,
+                send_default_pii=True,
+            )
+
+            events = capture_events()
+
+            with pytest.raises(Exception, match="API Error"):
+                await agents.Runner.run(
+                    test_agent, "Test input", run_config=test_run_config
+                )
+
+    (
+        error_event,
+        transaction,
+    ) = events
+
+    assert error_event["exception"]["values"][0]["type"] == "Exception"
+    assert error_event["exception"]["values"][0]["value"] == "API Error"
+
+    spans = transaction["spans"]
+    ai_client_span = [s for s in spans if s["op"] == "gen_ai.chat"][0]
+
+    assert ai_client_span["description"] == "chat gpt-4"
+    assert ai_client_span["tags"]["status"] == "internal_error"
+
+    assert "gen_ai.request.messages" in ai_client_span["data"]
+    request_messages = safe_serialize(
+        [
+            {
+                "role": "system",
+                "content": [
+                    {"type": "text", "text": "You are a helpful test assistant."}
+                ],
+            },
+            {"role": "user", "content": [{"type": "text", "text": "Test input"}]},
+        ]
+    )
+    assert ai_client_span["data"]["gen_ai.request.messages"] == request_messages
+
+
 @pytest.mark.asyncio
 async def test_span_status_error(sentry_init, capture_events, test_agent):
     with patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"}):
@@ -1111,9 +1149,6 @@ def failing_tool(message: str) -> str:
                 name="failing_tool",
                 type="function_call",
                 arguments='{"message": "test"}',
-                function=MagicMock(
-                    name="failing_tool", arguments='{"message": "test"}'
-                ),
             )
 
             # First response with tool call
diff --git a/tests/integrations/otlp/__init__.py b/tests/integrations/otlp/__init__.py
new file mode 100644
index 0000000000..75763c2fee
--- /dev/null
+++ b/tests/integrations/otlp/__init__.py
@@ -0,0 +1,3 @@
+import pytest
+
+pytest.importorskip("opentelemetry")
diff --git a/tests/integrations/otlp/test_otlp.py b/tests/integrations/otlp/test_otlp.py
new file mode 100644
index 0000000000..8806080be7
--- /dev/null
+++ b/tests/integrations/otlp/test_otlp.py
@@ -0,0 +1,154 @@
+import pytest
+import responses
+
+from opentelemetry import trace
+from opentelemetry.trace import (
+    get_tracer_provider,
+    set_tracer_provider,
+    ProxyTracerProvider,
+    format_span_id,
+    format_trace_id,
+)
+from opentelemetry.propagate import get_global_textmap, set_global_textmap
+from opentelemetry.util._once import Once
+from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.sdk.trace.export import BatchSpanProcessor
+from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
+
+from sentry_sdk.integrations.otlp import OTLPIntegration
+from sentry_sdk.integrations.opentelemetry import SentryPropagator
+from sentry_sdk.scope import get_external_propagation_context
+
+
+original_propagator = get_global_textmap()
+
+
+@pytest.fixture(autouse=True)
+def reset_otlp(uninstall_integration):
+    trace._TRACER_PROVIDER_SET_ONCE = Once()
+    trace._TRACER_PROVIDER = None
+
+    set_global_textmap(original_propagator)
+
+    uninstall_integration("otlp")
+
+
+def test_sets_new_tracer_provider_with_otlp_exporter(sentry_init):
+    existing_tracer_provider = get_tracer_provider()
+    assert isinstance(existing_tracer_provider, ProxyTracerProvider)
+
+    sentry_init(
+        dsn="https://mysecret@bla.ingest.sentry.io/12312012",
+        integrations=[OTLPIntegration()],
+    )
+
+    tracer_provider = get_tracer_provider()
+    assert tracer_provider is not existing_tracer_provider
+    assert isinstance(tracer_provider, TracerProvider)
+
+    (span_processor,) = tracer_provider._active_span_processor._span_processors
+    assert isinstance(span_processor, BatchSpanProcessor)
+
+    exporter = span_processor.span_exporter
+    assert isinstance(exporter, OTLPSpanExporter)
+    assert (
+        exporter._endpoint
+        == "https://bla.ingest.sentry.io/api/12312012/integration/otlp/v1/traces/"
+    )
+    assert "X-Sentry-Auth" in exporter._headers
+    assert (
+        "Sentry sentry_key=mysecret, sentry_version=7, sentry_client=sentry.python/"
+        in exporter._headers["X-Sentry-Auth"]
+    )
+
+
+def test_uses_existing_tracer_provider_with_otlp_exporter(sentry_init):
+    existing_tracer_provider = TracerProvider()
+    set_tracer_provider(existing_tracer_provider)
+
+    sentry_init(
+        dsn="https://mysecret@bla.ingest.sentry.io/12312012",
+        integrations=[OTLPIntegration()],
+    )
+
+    tracer_provider = get_tracer_provider()
+    assert tracer_provider == existing_tracer_provider
+    assert isinstance(tracer_provider, TracerProvider)
+
+    (span_processor,) = tracer_provider._active_span_processor._span_processors
+    assert isinstance(span_processor, BatchSpanProcessor)
+
+    exporter = span_processor.span_exporter
+    assert isinstance(exporter, OTLPSpanExporter)
+    assert (
+        exporter._endpoint
+        == "https://bla.ingest.sentry.io/api/12312012/integration/otlp/v1/traces/"
+    )
+    assert "X-Sentry-Auth" in exporter._headers
+    assert (
+        "Sentry sentry_key=mysecret, sentry_version=7, sentry_client=sentry.python/"
+        in exporter._headers["X-Sentry-Auth"]
+    )
+
+
+def test_does_not_setup_exporter_when_disabled(sentry_init):
+    existing_tracer_provider = get_tracer_provider()
+    assert isinstance(existing_tracer_provider, ProxyTracerProvider)
+
+    sentry_init(
+        dsn="https://mysecret@bla.ingest.sentry.io/12312012",
+        integrations=[OTLPIntegration(setup_otlp_exporter=False)],
+    )
+
+    tracer_provider = get_tracer_provider()
+    assert tracer_provider is existing_tracer_provider
+
+
+def test_sets_propagator(sentry_init):
+    sentry_init(
+        dsn="https://mysecret@bla.ingest.sentry.io/12312012",
+        integrations=[OTLPIntegration()],
+    )
+
+    propagator = get_global_textmap()
+    assert isinstance(get_global_textmap(), SentryPropagator)
+    assert propagator is not original_propagator
+
+
+def test_does_not_set_propagator_if_disabled(sentry_init):
+    sentry_init(
+        dsn="https://mysecret@bla.ingest.sentry.io/12312012",
+        integrations=[OTLPIntegration(setup_propagator=False)],
+    )
+
+    propagator = get_global_textmap()
+    assert not isinstance(propagator, SentryPropagator)
+    assert propagator is original_propagator
+
+
+@responses.activate
+def test_otel_propagation_context(sentry_init):
+    responses.add(
+        responses.POST,
+        url="https://bla.ingest.sentry.io/api/12312012/integration/otlp/v1/traces/",
+        status=200,
+    )
+
+    sentry_init(
+        dsn="https://mysecret@bla.ingest.sentry.io/12312012",
+        integrations=[OTLPIntegration()],
+    )
+
+    tracer = trace.get_tracer(__name__)
+    with tracer.start_as_current_span("foo") as root_span:
+        with tracer.start_as_current_span("bar") as span:
+            external_propagation_context = get_external_propagation_context()
+
+    # Force flush to ensure spans are exported while mock is active
+    get_tracer_provider().force_flush()
+
+    assert external_propagation_context is not None
+    (trace_id, span_id) = external_propagation_context
+    assert trace_id == format_trace_id(root_span.get_span_context().trace_id)
+    assert trace_id == format_trace_id(span.get_span_context().trace_id)
+    assert span_id == format_span_id(span.get_span_context().span_id)
diff --git a/tests/integrations/pydantic_ai/test_pydantic_ai.py b/tests/integrations/pydantic_ai/test_pydantic_ai.py
index 578eca2bf6..394979bb5e 100644
--- a/tests/integrations/pydantic_ai/test_pydantic_ai.py
+++ b/tests/integrations/pydantic_ai/test_pydantic_ai.py
@@ -1936,25 +1936,6 @@ async def test_set_model_data_with_none_settings_values(sentry_init, capture_eve
     assert transaction is not None
 
 
-@pytest.mark.asyncio
-async def test_should_send_prompts_with_no_integration(sentry_init, capture_events):
-    """
-    Test that _should_send_prompts returns False when integration not found.
-    """
-    from sentry_sdk.integrations.pydantic_ai.utils import _should_send_prompts
-
-    # Initialize without PydanticAIIntegration
-    sentry_init(
-        integrations=[],
-        traces_sample_rate=1.0,
-        send_default_pii=True,
-    )
-
-    # Should return False
-    result = _should_send_prompts()
-    assert result is False
-
-
 @pytest.mark.asyncio
 async def test_should_send_prompts_without_pii(sentry_init, capture_events):
     """
diff --git a/tests/integrations/redis/test_redis.py b/tests/integrations/redis/test_redis.py
index 5173885f33..1861e7116f 100644
--- a/tests/integrations/redis/test_redis.py
+++ b/tests/integrations/redis/test_redis.py
@@ -154,7 +154,7 @@ def test_pii_data_sent(sentry_init, capture_events):
     assert spans[3]["description"] == "DEL 'somekey1' 'somekey2'"
 
 
-def test_data_truncation(sentry_init, capture_events):
+def test_no_data_truncation_by_default(sentry_init, capture_events):
     sentry_init(
         integrations=[RedisIntegration()],
         traces_sample_rate=1.0,
@@ -172,10 +172,8 @@ def test_data_truncation(sentry_init, capture_events):
     (event,) = events
     spans = event["spans"]
     assert spans[0]["op"] == "db.redis"
-    assert spans[0]["description"] == "SET 'somekey1' '%s..." % (
-        long_string[: 1024 - len("...") - len("SET 'somekey1' '")],
-    )
-    assert spans[1]["description"] == "SET 'somekey2' '%s'" % (short_string,)
+    assert spans[0]["description"] == f"SET 'somekey1' '{long_string}'"
+    assert spans[1]["description"] == f"SET 'somekey2' '{short_string}'"
 
 
 def test_data_truncation_custom(sentry_init, capture_events):
diff --git a/tests/test_ai_integration_deactivation.py b/tests/test_ai_integration_deactivation.py
new file mode 100644
index 0000000000..71ac4f70a9
--- /dev/null
+++ b/tests/test_ai_integration_deactivation.py
@@ -0,0 +1,222 @@
+import pytest
+
+from sentry_sdk import get_client
+from sentry_sdk.integrations import _INTEGRATION_DEACTIVATES
+
+
+try:
+    from sentry_sdk.integrations.langchain import LangchainIntegration
+
+    has_langchain = True
+except Exception:
+    has_langchain = False
+
+try:
+    from sentry_sdk.integrations.openai import OpenAIIntegration
+
+    has_openai = True
+except Exception:
+    has_openai = False
+
+try:
+    from sentry_sdk.integrations.anthropic import AnthropicIntegration
+
+    has_anthropic = True
+except Exception:
+    has_anthropic = False
+
+
+pytestmark = pytest.mark.skipif(
+    not (has_langchain and has_openai and has_anthropic),
+    reason="Requires langchain, openai, and anthropic packages to be installed",
+)
+
+
+def test_integration_deactivates_map_exists():
+    assert "langchain" in _INTEGRATION_DEACTIVATES
+    assert "openai" in _INTEGRATION_DEACTIVATES["langchain"]
+    assert "anthropic" in _INTEGRATION_DEACTIVATES["langchain"]
+
+
+def test_langchain_auto_deactivates_openai_and_anthropic(
+    sentry_init, reset_integrations
+):
+    sentry_init(
+        default_integrations=False,
+        auto_enabling_integrations=True,
+    )
+
+    client = get_client()
+    integration_types = {
+        type(integration) for integration in client.integrations.values()
+    }
+
+    if LangchainIntegration in integration_types:
+        assert OpenAIIntegration not in integration_types
+        assert AnthropicIntegration not in integration_types
+
+
+def test_user_can_override_with_explicit_openai(sentry_init, reset_integrations):
+    sentry_init(
+        default_integrations=False,
+        auto_enabling_integrations=True,
+        integrations=[OpenAIIntegration()],
+    )
+
+    client = get_client()
+    integration_types = {
+        type(integration) for integration in client.integrations.values()
+    }
+
+    assert OpenAIIntegration in integration_types
+
+
+def test_user_can_override_with_explicit_anthropic(sentry_init, reset_integrations):
+    sentry_init(
+        default_integrations=False,
+        auto_enabling_integrations=True,
+        integrations=[AnthropicIntegration()],
+    )
+
+    client = get_client()
+    integration_types = {
+        type(integration) for integration in client.integrations.values()
+    }
+
+    assert AnthropicIntegration in integration_types
+
+
+def test_user_can_override_with_both_explicit_integrations(
+    sentry_init, reset_integrations
+):
+    sentry_init(
+        default_integrations=False,
+        auto_enabling_integrations=True,
+        integrations=[OpenAIIntegration(), AnthropicIntegration()],
+    )
+
+    client = get_client()
+    integration_types = {
+        type(integration) for integration in client.integrations.values()
+    }
+
+    assert OpenAIIntegration in integration_types
+    assert AnthropicIntegration in integration_types
+
+
+def test_disabling_langchain_allows_openai_and_anthropic(
+    sentry_init, reset_integrations
+):
+    sentry_init(
+        default_integrations=False,
+        auto_enabling_integrations=True,
+        disabled_integrations=[LangchainIntegration],
+    )
+
+    client = get_client()
+    integration_types = {
+        type(integration) for integration in client.integrations.values()
+    }
+
+    assert LangchainIntegration not in integration_types
+
+
+def test_explicit_langchain_still_deactivates_others(sentry_init, reset_integrations):
+    sentry_init(
+        default_integrations=False,
+        auto_enabling_integrations=False,
+        integrations=[LangchainIntegration()],
+    )
+
+    client = get_client()
+    integration_types = {
+        type(integration) for integration in client.integrations.values()
+    }
+
+    if LangchainIntegration in integration_types:
+        assert OpenAIIntegration not in integration_types
+        assert AnthropicIntegration not in integration_types
+
+
+def test_langchain_and_openai_both_explicit_both_active(
+    sentry_init, reset_integrations
+):
+    sentry_init(
+        default_integrations=False,
+        auto_enabling_integrations=False,
+        integrations=[LangchainIntegration(), OpenAIIntegration()],
+    )
+
+    client = get_client()
+    integration_types = {
+        type(integration) for integration in client.integrations.values()
+    }
+
+    assert LangchainIntegration in integration_types
+    assert OpenAIIntegration in integration_types
+
+
+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
+
+    def filtered_iter(with_auto_enabling):
+        for cls in old_iter(with_auto_enabling):
+            if cls.identifier != "langchain":
+                yield cls
+
+    monkeypatch.setattr(
+        sentry_sdk.integrations, "iter_default_integrations", filtered_iter
+    )
+
+    sentry_init(
+        default_integrations=False,
+        auto_enabling_integrations=True,
+    )
+
+    client = get_client()
+    integration_types = {
+        type(integration) for integration in client.integrations.values()
+    }
+
+    assert LangchainIntegration not in integration_types
+
+
+def test_deactivation_with_default_integrations_enabled(
+    sentry_init, reset_integrations
+):
+    sentry_init(
+        default_integrations=True,
+        auto_enabling_integrations=True,
+    )
+
+    client = get_client()
+    integration_types = {
+        type(integration) for integration in client.integrations.values()
+    }
+
+    if LangchainIntegration in integration_types:
+        assert OpenAIIntegration not in integration_types
+        assert AnthropicIntegration not in integration_types
+
+
+def test_only_auto_enabling_integrations_without_defaults(
+    sentry_init, reset_integrations
+):
+    sentry_init(
+        default_integrations=False,
+        auto_enabling_integrations=True,
+    )
+
+    client = get_client()
+    integration_types = {
+        type(integration) for integration in client.integrations.values()
+    }
+
+    if LangchainIntegration in integration_types:
+        assert OpenAIIntegration not in integration_types
+        assert AnthropicIntegration not in integration_types
diff --git a/tests/test_logs.py b/tests/test_logs.py
index 7494aa01c8..6c0a9b14f9 100644
--- a/tests/test_logs.py
+++ b/tests/test_logs.py
@@ -310,7 +310,7 @@ def test_logs_tied_to_transactions(sentry_init, capture_envelopes):
     """
     Log messages are also tied to transactions.
     """
-    sentry_init(enable_logs=True)
+    sentry_init(enable_logs=True, traces_sample_rate=1.0)
     envelopes = capture_envelopes()
 
     with sentry_sdk.start_transaction(name="test-transaction") as trx:
@@ -326,7 +326,7 @@ def test_logs_tied_to_spans(sentry_init, capture_envelopes):
     """
     Log messages are also tied to spans.
     """
-    sentry_init(enable_logs=True)
+    sentry_init(enable_logs=True, traces_sample_rate=1.0)
     envelopes = capture_envelopes()
 
     with sentry_sdk.start_transaction(name="test-transaction"):
@@ -446,3 +446,28 @@ def test_logs_with_literal_braces(
         assert logs[0]["attributes"]["sentry.message.template"] == message
     else:
         assert "sentry.message.template" not in logs[0]["attributes"]
+
+
+@minimum_python_37
+def test_batcher_drops_logs(sentry_init, monkeypatch):
+    sentry_init(enable_logs=True)
+    client = sentry_sdk.get_client()
+
+    def no_op_flush():
+        pass
+
+    monkeypatch.setattr(client.log_batcher, "_flush", no_op_flush)
+
+    lost_event_calls = []
+
+    def record_lost_event(reason, data_category=None, item=None, *, quantity=1):
+        lost_event_calls.append((reason, data_category, item, quantity))
+
+    monkeypatch.setattr(client.log_batcher, "_record_lost_func", record_lost_event)
+
+    for i in range(1_005):  # 5 logs over the hard limit
+        sentry_sdk.logger.info("This is a 'info' log...")
+
+    assert len(lost_event_calls) == 5
+    for lost_event_call in lost_event_calls:
+        assert lost_event_call == ("queue_overflow", "log_item", None, 1)
diff --git a/tests/test_metrics.py b/tests/test_metrics.py
index d5ca8ec572..0a1736a537 100644
--- a/tests/test_metrics.py
+++ b/tests/test_metrics.py
@@ -7,6 +7,7 @@
 from sentry_sdk import get_client
 from sentry_sdk.envelope import Envelope
 from sentry_sdk.types import Metric
+from sentry_sdk.consts import SPANDATA, VERSION
 
 
 def envelopes_to_metrics(envelopes):
@@ -33,8 +34,8 @@ def envelopes_to_metrics(envelopes):
     return res
 
 
-def test_metrics_disabled_by_default(sentry_init, capture_envelopes):
-    sentry_init()
+def test_metrics_disabled(sentry_init, capture_envelopes):
+    sentry_init(enable_metrics=False)
 
     envelopes = capture_envelopes()
 
@@ -46,7 +47,7 @@ def test_metrics_disabled_by_default(sentry_init, capture_envelopes):
 
 
 def test_metrics_basics(sentry_init, capture_envelopes):
-    sentry_init(_experiments={"enable_metrics": True})
+    sentry_init()
     envelopes = capture_envelopes()
 
     sentry_sdk.metrics.count("test.counter", 1)
@@ -77,7 +78,7 @@ def test_metrics_basics(sentry_init, capture_envelopes):
 
 
 def test_metrics_experimental_option(sentry_init, capture_envelopes):
-    sentry_init(_experiments={"enable_metrics": True})
+    sentry_init()
     envelopes = capture_envelopes()
 
     sentry_sdk.metrics.count("test.counter", 5)
@@ -93,9 +94,7 @@ def test_metrics_experimental_option(sentry_init, capture_envelopes):
 
 
 def test_metrics_with_attributes(sentry_init, capture_envelopes):
-    sentry_init(
-        _experiments={"enable_metrics": True}, release="1.0.0", environment="test"
-    )
+    sentry_init(release="1.0.0", environment="test", server_name="test-server")
     envelopes = capture_envelopes()
 
     sentry_sdk.metrics.count(
@@ -112,9 +111,13 @@ def test_metrics_with_attributes(sentry_init, capture_envelopes):
     assert metrics[0]["attributes"]["sentry.release"] == "1.0.0"
     assert metrics[0]["attributes"]["sentry.environment"] == "test"
 
+    assert metrics[0]["attributes"][SPANDATA.SERVER_ADDRESS] == "test-server"
+    assert metrics[0]["attributes"]["sentry.sdk.name"].startswith("sentry.python")
+    assert metrics[0]["attributes"]["sentry.sdk.version"] == VERSION
+
 
 def test_metrics_with_user(sentry_init, capture_envelopes):
-    sentry_init(_experiments={"enable_metrics": True})
+    sentry_init()
     envelopes = capture_envelopes()
 
     sentry_sdk.set_user(
@@ -133,10 +136,10 @@ def test_metrics_with_user(sentry_init, capture_envelopes):
 
 
 def test_metrics_with_span(sentry_init, capture_envelopes):
-    sentry_init(_experiments={"enable_metrics": True}, traces_sample_rate=1.0)
+    sentry_init(traces_sample_rate=1.0)
     envelopes = capture_envelopes()
 
-    with sentry_sdk.start_transaction(op="test", name="test-span"):
+    with sentry_sdk.start_transaction(op="test", name="test-span") as transaction:
         sentry_sdk.metrics.count("test.span.counter", 1)
 
     get_client().flush()
@@ -145,29 +148,70 @@ def test_metrics_with_span(sentry_init, capture_envelopes):
     assert len(metrics) == 1
 
     assert metrics[0]["trace_id"] is not None
-    assert metrics[0]["trace_id"] != "00000000-0000-0000-0000-000000000000"
-    assert metrics[0]["span_id"] is not None
+    assert metrics[0]["trace_id"] == transaction.trace_id
+    assert metrics[0]["span_id"] == transaction.span_id
 
 
 def test_metrics_tracing_without_performance(sentry_init, capture_envelopes):
-    sentry_init(_experiments={"enable_metrics": True})
+    sentry_init()
     envelopes = capture_envelopes()
 
-    sentry_sdk.metrics.count("test.span.counter", 1)
+    with sentry_sdk.isolation_scope() as isolation_scope:
+        sentry_sdk.metrics.count("test.span.counter", 1)
 
     get_client().flush()
 
     metrics = envelopes_to_metrics(envelopes)
     assert len(metrics) == 1
 
-    assert metrics[0]["trace_id"] is not None
-    assert metrics[0]["trace_id"] != "00000000-0000-0000-0000-000000000000"
-    assert metrics[0]["span_id"] is None
+    propagation_context = isolation_scope._propagation_context
+    assert propagation_context is not None
+    assert metrics[0]["trace_id"] == propagation_context.trace_id
+    assert metrics[0]["span_id"] == propagation_context.span_id
 
 
 def test_metrics_before_send(sentry_init, capture_envelopes):
     before_metric_called = False
 
+    def _before_metric(record, hint):
+        nonlocal before_metric_called
+
+        assert set(record.keys()) == {
+            "timestamp",
+            "trace_id",
+            "span_id",
+            "name",
+            "type",
+            "value",
+            "unit",
+            "attributes",
+        }
+
+        if record["name"] == "test.skip":
+            return None
+
+        before_metric_called = True
+        return record
+
+    sentry_init(
+        before_send_metric=_before_metric,
+    )
+    envelopes = capture_envelopes()
+
+    sentry_sdk.metrics.count("test.skip", 1)
+    sentry_sdk.metrics.count("test.keep", 1)
+
+    get_client().flush()
+
+    metrics = envelopes_to_metrics(envelopes)
+    assert len(metrics) == 1
+    assert metrics[0]["name"] == "test.keep"
+    assert before_metric_called
+
+
+def test_metrics_experimental_before_send(sentry_init, capture_envelopes):
+    before_metric_called = False
+
     def _before_metric(record, hint):
         nonlocal before_metric_called
 
@@ -190,7 +234,6 @@ def _before_metric(record, hint):
 
     sentry_init(
         _experiments={
-            "enable_metrics": True,
             "before_send_metric": _before_metric,
         },
     )
@@ -205,3 +248,27 @@ def _before_metric(record, hint):
     assert len(metrics) == 1
     assert metrics[0]["name"] == "test.keep"
     assert before_metric_called
+
+
+def test_batcher_drops_metrics(sentry_init, monkeypatch):
+    sentry_init()
+    client = sentry_sdk.get_client()
+
+    def no_op_flush():
+        pass
+
+    monkeypatch.setattr(client.metrics_batcher, "_flush", no_op_flush)
+
+    lost_event_calls = []
+
+    def record_lost_event(reason, data_category, quantity):
+        lost_event_calls.append((reason, data_category, quantity))
+
+    monkeypatch.setattr(client.metrics_batcher, "_record_lost_func", record_lost_event)
+
+    for i in range(10_005):  # 5 metrics over the hard limit
+        sentry_sdk.metrics.count("test.counter", 1)
+
+    assert len(lost_event_calls) == 5
+    for lost_event_call in lost_event_calls:
+        assert lost_event_call == ("queue_overflow", "trace_metric", 1)
diff --git a/tests/test_scope.py b/tests/test_scope.py
index 68c93f3036..1ace1cc73c 100644
--- a/tests/test_scope.py
+++ b/tests/test_scope.py
@@ -16,6 +16,8 @@
     use_isolation_scope,
     use_scope,
     should_send_default_pii,
+    register_external_propagation_context,
+    remove_external_propagation_context,
 )
 
 
@@ -971,3 +973,47 @@ def test_handle_error_on_token_reset_isolation_scope(error_cls, scope_manager):
 
                 mock_capture.assert_called_once()
                 mock_current_scope.reset.assert_called_once_with(mock_current_token)
+
+
+def test_trace_context_tracing(sentry_init):
+    sentry_init(traces_sample_rate=1.0)
+
+    with sentry_sdk.start_transaction(name="trx") as transaction:
+        with sentry_sdk.start_span(op="span1"):
+            with sentry_sdk.start_span(op="span2") as span:
+                trace_context = sentry_sdk.get_current_scope().get_trace_context()
+
+    assert trace_context["trace_id"] == transaction.trace_id
+    assert trace_context["span_id"] == span.span_id
+    assert trace_context["parent_span_id"] == span.parent_span_id
+    assert "dynamic_sampling_context" in trace_context
+
+
+def test_trace_context_external_tracing(sentry_init):
+    sentry_init()
+
+    def external_propagation_context():
+        return ("trace_id_foo", "span_id_bar")
+
+    register_external_propagation_context(external_propagation_context)
+
+    trace_context = sentry_sdk.get_current_scope().get_trace_context()
+
+    assert trace_context["trace_id"] == "trace_id_foo"
+    assert trace_context["span_id"] == "span_id_bar"
+
+    remove_external_propagation_context()
+
+
+def test_trace_context_without_performance(sentry_init):
+    sentry_init()
+
+    with sentry_sdk.isolation_scope() as isolation_scope:
+        trace_context = sentry_sdk.get_current_scope().get_trace_context()
+
+    propagation_context = isolation_scope._propagation_context
+    assert propagation_context is not None
+    assert trace_context["trace_id"] == propagation_context.trace_id
+    assert trace_context["span_id"] == propagation_context.span_id
+    assert trace_context["parent_span_id"] == propagation_context.parent_span_id
+    assert "dynamic_sampling_context" in trace_context
diff --git a/tests/tracing/test_decorator.py b/tests/tracing/test_decorator.py
index 15432f5862..70dc186ba0 100644
--- a/tests/tracing/test_decorator.py
+++ b/tests/tracing/test_decorator.py
@@ -1,4 +1,5 @@
 import inspect
+import sys
 from unittest import mock
 
 import pytest
diff --git a/tox.ini b/tox.ini
index 7e5e60f39a..12ca0bde63 100644
--- a/tox.ini
+++ b/tox.ini
@@ -23,6 +23,9 @@ envlist =
     # === Gevent ===
     {py3.6,py3.8,py3.10,py3.11,py3.12}-gevent
 
+    # === Integration Deactivation ===
+    {py3.9,py3.10,py3.11,py3.12,py3.13,py3.14}-integration_deactivation
+
     # === Integrations ===
 
     # Asgi
@@ -40,6 +43,9 @@ envlist =
     # OpenTelemetry (OTel)
     {py3.7,py3.9,py3.12,py3.13,py3.14,py3.14t}-opentelemetry
 
+    # OpenTelemetry with OTLP
+    {py3.7,py3.9,py3.12,py3.13,py3.14}-otlp
+
     # OpenTelemetry Experimental (POTel)
     {py3.8,py3.9,py3.10,py3.11,py3.12,py3.13}-potel
 
@@ -48,9 +54,9 @@ envlist =
 
     # ~~~ AI ~~~
     {py3.8,py3.11,py3.12}-anthropic-v0.16.0
-    {py3.8,py3.11,py3.12}-anthropic-v0.34.2
-    {py3.8,py3.11,py3.12}-anthropic-v0.52.2
-    {py3.8,py3.12,py3.13}-anthropic-v0.71.0
+    {py3.8,py3.11,py3.12}-anthropic-v0.35.0
+    {py3.8,py3.11,py3.12}-anthropic-v0.54.0
+    {py3.9,py3.12,py3.13}-anthropic-v0.74.1
 
     {py3.9,py3.10,py3.11}-cohere-v5.4.0
     {py3.9,py3.11,py3.12}-cohere-v5.10.0
@@ -58,60 +64,64 @@ envlist =
     {py3.9,py3.11,py3.12}-cohere-v5.20.0
 
     {py3.9,py3.12,py3.13}-google_genai-v1.29.0
-    {py3.9,py3.12,py3.13}-google_genai-v1.35.0
-    {py3.9,py3.12,py3.13}-google_genai-v1.41.0
-    {py3.9,py3.13,py3.14}-google_genai-v1.46.0
+    {py3.9,py3.12,py3.13}-google_genai-v1.36.0
+    {py3.9,py3.12,py3.13}-google_genai-v1.43.0
+    {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.51.0
 
     {py3.8,py3.10,py3.11}-huggingface_hub-v0.24.7
-    {py3.8,py3.12,py3.13}-huggingface_hub-v0.28.1
-    {py3.8,py3.12,py3.13}-huggingface_hub-v0.32.6
     {py3.8,py3.12,py3.13}-huggingface_hub-v0.36.0
-    {py3.9,py3.12,py3.13}-huggingface_hub-v1.0.0rc7
+    {py3.9,py3.13,py3.14,py3.14t}-huggingface_hub-v1.1.4
 
     {py3.9,py3.11,py3.12}-langchain-base-v0.1.20
     {py3.9,py3.12,py3.13}-langchain-base-v0.3.27
-    {py3.10,py3.13,py3.14}-langchain-base-v1.0.2
+    {py3.10,py3.13,py3.14}-langchain-base-v1.0.8
 
     {py3.9,py3.11,py3.12}-langchain-notiktoken-v0.1.20
     {py3.9,py3.12,py3.13}-langchain-notiktoken-v0.3.27
-    {py3.10,py3.13,py3.14}-langchain-notiktoken-v1.0.2
+    {py3.10,py3.13,py3.14}-langchain-notiktoken-v1.0.8
 
     {py3.9,py3.13,py3.14}-langgraph-v0.6.11
-    {py3.10,py3.12,py3.13}-langgraph-v1.0.1
+    {py3.10,py3.12,py3.13}-langgraph-v1.0.3
 
     {py3.9,py3.12,py3.13}-litellm-v1.77.7
     {py3.9,py3.12,py3.13}-litellm-v1.78.7
-    {py3.9,py3.12,py3.13}-litellm-v1.79.0
+    {py3.9,py3.12,py3.13}-litellm-v1.79.3
+    {py3.9,py3.12,py3.13}-litellm-v1.80.0
 
     {py3.10,py3.12,py3.13}-mcp-v1.15.0
-    {py3.10,py3.12,py3.13}-mcp-v1.16.0
     {py3.10,py3.12,py3.13}-mcp-v1.17.0
     {py3.10,py3.12,py3.13}-mcp-v1.19.0
+    {py3.10,py3.12,py3.13}-mcp-v1.21.2
+
+    {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.1.0
+    {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-v2.13.1
 
     {py3.8,py3.11,py3.12}-openai-base-v1.0.1
     {py3.8,py3.12,py3.13}-openai-base-v1.109.1
-    {py3.9,py3.12,py3.13}-openai-base-v2.6.1
+    {py3.9,py3.12,py3.13}-openai-base-v2.8.1
 
     {py3.8,py3.11,py3.12}-openai-notiktoken-v1.0.1
     {py3.8,py3.12,py3.13}-openai-notiktoken-v1.109.1
-    {py3.9,py3.12,py3.13}-openai-notiktoken-v2.6.1
+    {py3.9,py3.12,py3.13}-openai-notiktoken-v2.8.1
 
     {py3.10,py3.11,py3.12}-openai_agents-v0.0.19
-    {py3.10,py3.12,py3.13}-openai_agents-v0.1.0
     {py3.10,py3.12,py3.13}-openai_agents-v0.2.11
     {py3.10,py3.12,py3.13}-openai_agents-v0.4.2
+    {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.6.1
 
     {py3.10,py3.12,py3.13}-pydantic_ai-v1.0.18
-    {py3.10,py3.12,py3.13}-pydantic_ai-v1.2.1
-    {py3.10,py3.12,py3.13}-pydantic_ai-v1.4.0
-    {py3.10,py3.12,py3.13}-pydantic_ai-v1.6.0
+    {py3.10,py3.12,py3.13}-pydantic_ai-v1.7.0
+    {py3.10,py3.12,py3.13}-pydantic_ai-v1.14.1
+    {py3.10,py3.12,py3.13}-pydantic_ai-v1.20.0
 
 
     # ~~~ Cloud ~~~
     {py3.6,py3.7}-boto3-v1.12.49
-    {py3.6,py3.9,py3.10}-boto3-v1.20.54
-    {py3.7,py3.11,py3.12}-boto3-v1.28.85
-    {py3.9,py3.13,py3.14}-boto3-v1.40.59
+    {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-v1.41.0
 
     {py3.6,py3.7,py3.8}-chalice-v1.16.0
     {py3.9,py3.12,py3.13}-chalice-v1.32.0
@@ -123,18 +133,18 @@ envlist =
     {py3.7,py3.9,py3.10}-asyncpg-v0.27.0
     {py3.8,py3.11,py3.12}-asyncpg-v0.30.0
 
-    {py3.7,py3.11,py3.12}-clickhouse_driver-v0.2.9
+    {py3.9,py3.13,py3.14}-clickhouse_driver-v0.2.10
 
     {py3.6}-pymongo-v3.5.1
     {py3.6,py3.10,py3.11}-pymongo-v3.13.0
-    {py3.9,py3.12,py3.13}-pymongo-v4.15.3
+    {py3.9,py3.13,py3.14,py3.14t}-pymongo-v4.15.4
 
     {py3.6}-redis-v2.10.6
     {py3.6,py3.7,py3.8}-redis-v3.5.3
     {py3.7,py3.10,py3.11}-redis-v4.6.0
     {py3.8,py3.11,py3.12}-redis-v5.3.1
     {py3.9,py3.12,py3.13}-redis-v6.4.0
-    {py3.9,py3.12,py3.13}-redis-v7.0.0
+    {py3.10,py3.13,py3.14,py3.14t}-redis-v7.1.0
 
     {py3.6}-redis_py_cluster_legacy-v1.3.6
     {py3.6,py3.7,py3.8}-redis_py_cluster_legacy-v2.1.3
@@ -146,16 +156,16 @@ envlist =
 
     # ~~~ Flags ~~~
     {py3.8,py3.12,py3.13}-launchdarkly-v9.8.1
-    {py3.9,py3.13,py3.14}-launchdarkly-v9.12.1
+    {py3.9,py3.13,py3.14,py3.14t}-launchdarkly-v9.13.1
 
-    {py3.8,py3.13,py3.14}-openfeature-v0.7.5
-    {py3.9,py3.13,py3.14}-openfeature-v0.8.3
+    {py3.8,py3.13,py3.14,py3.14t}-openfeature-v0.7.5
+    {py3.9,py3.13,py3.14,py3.14t}-openfeature-v0.8.3
 
     {py3.7,py3.13,py3.14}-statsig-v0.55.3
-    {py3.7,py3.13,py3.14}-statsig-v0.66.0
+    {py3.7,py3.13,py3.14}-statsig-v0.66.1
 
     {py3.8,py3.12,py3.13}-unleash-v6.0.1
-    {py3.8,py3.12,py3.13}-unleash-v6.3.0
+    {py3.8,py3.12,py3.13}-unleash-v6.4.0
 
 
     # ~~~ GraphQL ~~~
@@ -170,7 +180,7 @@ 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}-strawberry-v0.284.1
+    {py3.10,py3.13,py3.14,py3.14t}-strawberry-v0.286.0
 
 
     # ~~~ Network ~~~
@@ -185,7 +195,7 @@ envlist =
     {py3.9,py3.11,py3.12}-httpx-v0.28.1
 
     {py3.6}-requests-v2.12.5
-    {py3.9,py3.13,py3.14}-requests-v2.32.5
+    {py3.9,py3.13,py3.14,py3.14t}-requests-v2.32.5
 
 
     # ~~~ Tasks ~~~
@@ -193,21 +203,20 @@ envlist =
     {py3.8,py3.11,py3.12}-arq-v0.26.3
 
     {py3.7}-beam-v2.14.0
-    {py3.9,py3.12,py3.13}-beam-v2.68.0
-    {py3.9,py3.12,py3.13}-beam-v2.69.0rc3
+    {py3.9,py3.12,py3.13}-beam-v2.69.0
 
     {py3.6,py3.7,py3.8}-celery-v4.4.7
     {py3.8,py3.12,py3.13}-celery-v5.5.3
-    {py3.9,py3.12,py3.13}-celery-v5.6.0b2
+    {py3.9,py3.12,py3.13}-celery-v5.6.0rc1
 
     {py3.6,py3.7}-dramatiq-v1.9.0
-    {py3.9,py3.12,py3.13}-dramatiq-v1.18.0
+    {py3.10,py3.13,py3.14,py3.14t}-dramatiq-v2.0.0
 
     {py3.6,py3.7}-huey-v2.1.3
     {py3.6,py3.11,py3.12}-huey-v2.5.4
 
     {py3.9,py3.10}-ray-v2.7.2
-    {py3.9,py3.12,py3.13}-ray-v2.50.1
+    {py3.9,py3.12,py3.13}-ray-v2.51.1
 
     {py3.6}-rq-v0.8.2
     {py3.6,py3.7}-rq-v0.13.0
@@ -223,30 +232,30 @@ envlist =
     {py3.6,py3.7}-django-v1.11.29
     {py3.6,py3.8,py3.9}-django-v2.2.28
     {py3.6,py3.9,py3.10}-django-v3.2.25
-    {py3.8,py3.11,py3.12}-django-v4.2.25
-    {py3.10,py3.12,py3.13}-django-v5.2.7
-    {py3.12,py3.13,py3.14}-django-v6.0b1
+    {py3.8,py3.11,py3.12}-django-v4.2.26
+    {py3.10,py3.13,py3.14,py3.14t}-django-v5.2.8
+    {py3.12,py3.13,py3.14,py3.14t}-django-v6.0rc1
 
     {py3.6,py3.7,py3.8}-flask-v1.1.4
-    {py3.8,py3.13,py3.14}-flask-v2.3.3
-    {py3.9,py3.13,py3.14}-flask-v3.1.2
+    {py3.8,py3.13,py3.14,py3.14t}-flask-v2.3.3
+    {py3.9,py3.13,py3.14,py3.14t}-flask-v3.1.2
 
     {py3.6,py3.9,py3.10}-starlette-v0.16.0
     {py3.7,py3.10,py3.11}-starlette-v0.27.0
     {py3.8,py3.12,py3.13}-starlette-v0.38.6
-    {py3.9,py3.13,py3.14}-starlette-v0.48.0
+    {py3.10,py3.13,py3.14,py3.14t}-starlette-v0.50.0
 
     {py3.6,py3.9,py3.10}-fastapi-v0.79.1
     {py3.7,py3.10,py3.11}-fastapi-v0.93.0
     {py3.8,py3.10,py3.11}-fastapi-v0.107.0
-    {py3.8,py3.13,py3.14}-fastapi-v0.120.0
+    {py3.8,py3.13,py3.14,py3.14t}-fastapi-v0.121.3
 
 
     # ~~~ Web 2 ~~~
     {py3.7}-aiohttp-v3.4.4
     {py3.7,py3.8,py3.9}-aiohttp-v3.7.4
     {py3.8,py3.12,py3.13}-aiohttp-v3.10.11
-    {py3.9,py3.13,py3.14}-aiohttp-v3.13.1
+    {py3.9,py3.13,py3.14,py3.14t}-aiohttp-v3.13.2
 
     {py3.6,py3.7}-bottle-v0.12.25
     {py3.8,py3.12,py3.13}-bottle-v0.13.4
@@ -254,7 +263,7 @@ envlist =
     {py3.6}-falcon-v1.4.1
     {py3.6,py3.7}-falcon-v2.0.0
     {py3.6,py3.11,py3.12}-falcon-v3.1.3
-    {py3.8,py3.11,py3.12}-falcon-v4.1.0
+    {py3.9,py3.11,py3.12}-falcon-v4.2.0
 
     {py3.8,py3.10,py3.11}-litestar-v2.0.1
     {py3.8,py3.11,py3.12}-litestar-v2.6.4
@@ -266,7 +275,7 @@ envlist =
     {py3.6,py3.10,py3.11}-pyramid-v2.0.2
 
     {py3.7,py3.9,py3.10}-quart-v0.16.3
-    {py3.9,py3.13,py3.14}-quart-v0.20.0
+    {py3.9,py3.13,py3.14,py3.14t}-quart-v0.20.0
 
     {py3.6}-sanic-v0.8.3
     {py3.6,py3.8,py3.9}-sanic-v20.12.7
@@ -290,10 +299,10 @@ envlist =
     {py3.6}-trytond-v4.8.18
     {py3.6,py3.7,py3.8}-trytond-v5.8.16
     {py3.8,py3.10,py3.11}-trytond-v6.8.17
-    {py3.9,py3.12,py3.13}-trytond-v7.6.9
+    {py3.9,py3.12,py3.13}-trytond-v7.6.10
 
     {py3.7,py3.12,py3.13}-typer-v0.15.4
-    {py3.8,py3.13,py3.14}-typer-v0.20.0
+    {py3.8,py3.13,py3.14,py3.14t}-typer-v0.20.0
 
 
 
@@ -315,6 +324,8 @@ deps =
     # for justification of the upper bound on pytest
     {py3.6,py3.7}-common: pytest<7.0.0
     {py3.8,py3.9,py3.10,py3.11,py3.12,py3.13,py3.14,py3.14t}-common: pytest
+    # coverage 7.11.1-7.11.3 makes some of our tests flake
+    {py3.14,py3.14t}-common: coverage==7.11.0
 
     # === Gevent ===
     {py3.6,py3.7,py3.8,py3.9,py3.10,py3.11}-gevent: gevent>=22.10.0, <22.11.0
@@ -328,6 +339,11 @@ deps =
     {py3.10,py3.11}-gevent: zope.event<5.0.0
     {py3.10,py3.11}-gevent: zope.interface<8.0
 
+    # === Integration Deactivation ===
+    integration_deactivation: openai
+    integration_deactivation: anthropic
+    integration_deactivation: langchain
+
     # === Integrations ===
 
     # Asgi
@@ -345,6 +361,9 @@ deps =
     # OpenTelemetry (OTel)
     opentelemetry: opentelemetry-distro
 
+    # OpenTelemetry with OTLP
+    otlp: opentelemetry-distro[otlp]
+
     # OpenTelemetry Experimental (POTel)
     potel: -e .[opentelemetry-experimental]
 
@@ -353,12 +372,12 @@ deps =
 
     # ~~~ AI ~~~
     anthropic-v0.16.0: anthropic==0.16.0
-    anthropic-v0.34.2: anthropic==0.34.2
-    anthropic-v0.52.2: anthropic==0.52.2
-    anthropic-v0.71.0: anthropic==0.71.0
+    anthropic-v0.35.0: anthropic==0.35.0
+    anthropic-v0.54.0: anthropic==0.54.0
+    anthropic-v0.74.1: anthropic==0.74.1
     anthropic: pytest-asyncio
     anthropic-v0.16.0: httpx<0.28.0
-    anthropic-v0.34.2: httpx<0.28.0
+    anthropic-v0.35.0: httpx<0.28.0
 
     cohere-v5.4.0: cohere==5.4.0
     cohere-v5.10.0: cohere==5.10.0
@@ -366,82 +385,89 @@ deps =
     cohere-v5.20.0: cohere==5.20.0
 
     google_genai-v1.29.0: google-genai==1.29.0
-    google_genai-v1.35.0: google-genai==1.35.0
-    google_genai-v1.41.0: google-genai==1.41.0
-    google_genai-v1.46.0: google-genai==1.46.0
+    google_genai-v1.36.0: google-genai==1.36.0
+    google_genai-v1.43.0: google-genai==1.43.0
+    google_genai-v1.51.0: google-genai==1.51.0
     google_genai: pytest-asyncio
 
     huggingface_hub-v0.24.7: huggingface_hub==0.24.7
-    huggingface_hub-v0.28.1: huggingface_hub==0.28.1
-    huggingface_hub-v0.32.6: huggingface_hub==0.32.6
     huggingface_hub-v0.36.0: huggingface_hub==0.36.0
-    huggingface_hub-v1.0.0rc7: huggingface_hub==1.0.0rc7
+    huggingface_hub-v1.1.4: huggingface_hub==1.1.4
     huggingface_hub: responses
     huggingface_hub: pytest-httpx
 
     langchain-base-v0.1.20: langchain==0.1.20
     langchain-base-v0.3.27: langchain==0.3.27
-    langchain-base-v1.0.2: langchain==1.0.2
+    langchain-base-v1.0.8: langchain==1.0.8
+    langchain-base: pytest-asyncio
     langchain-base: openai
     langchain-base: tiktoken
     langchain-base: langchain-openai
     langchain-base-v0.3.27: langchain-community
-    langchain-base-v1.0.2: langchain-community
-    langchain-base-v1.0.2: langchain-classic
+    langchain-base-v1.0.8: langchain-community
+    langchain-base-v1.0.8: langchain-classic
 
     langchain-notiktoken-v0.1.20: langchain==0.1.20
     langchain-notiktoken-v0.3.27: langchain==0.3.27
-    langchain-notiktoken-v1.0.2: langchain==1.0.2
+    langchain-notiktoken-v1.0.8: langchain==1.0.8
+    langchain-notiktoken: pytest-asyncio
     langchain-notiktoken: openai
     langchain-notiktoken: langchain-openai
     langchain-notiktoken-v0.3.27: langchain-community
-    langchain-notiktoken-v1.0.2: langchain-community
-    langchain-notiktoken-v1.0.2: langchain-classic
+    langchain-notiktoken-v1.0.8: langchain-community
+    langchain-notiktoken-v1.0.8: langchain-classic
 
     langgraph-v0.6.11: langgraph==0.6.11
-    langgraph-v1.0.1: langgraph==1.0.1
+    langgraph-v1.0.3: langgraph==1.0.3
 
     litellm-v1.77.7: litellm==1.77.7
     litellm-v1.78.7: litellm==1.78.7
-    litellm-v1.79.0: litellm==1.79.0
+    litellm-v1.79.3: litellm==1.79.3
+    litellm-v1.80.0: litellm==1.80.0
 
     mcp-v1.15.0: mcp==1.15.0
-    mcp-v1.16.0: mcp==1.16.0
     mcp-v1.17.0: mcp==1.17.0
     mcp-v1.19.0: mcp==1.19.0
+    mcp-v1.21.2: mcp==1.21.2
     mcp: pytest-asyncio
 
+    fastmcp-v0.1.0: fastmcp==0.1.0
+    fastmcp-v0.4.1: fastmcp==0.4.1
+    fastmcp-v1.0: fastmcp==1.0
+    fastmcp-v2.13.1: fastmcp==2.13.1
+    fastmcp: pytest-asyncio
+
     openai-base-v1.0.1: openai==1.0.1
     openai-base-v1.109.1: openai==1.109.1
-    openai-base-v2.6.1: openai==2.6.1
+    openai-base-v2.8.1: openai==2.8.1
     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-v2.6.1: openai==2.6.1
+    openai-notiktoken-v2.8.1: openai==2.8.1
     openai-notiktoken: pytest-asyncio
     openai-notiktoken-v1.0.1: httpx<0.28
 
     openai_agents-v0.0.19: openai-agents==0.0.19
-    openai_agents-v0.1.0: openai-agents==0.1.0
     openai_agents-v0.2.11: openai-agents==0.2.11
     openai_agents-v0.4.2: openai-agents==0.4.2
+    openai_agents-v0.6.1: openai-agents==0.6.1
     openai_agents: pytest-asyncio
 
     pydantic_ai-v1.0.18: pydantic-ai==1.0.18
-    pydantic_ai-v1.2.1: pydantic-ai==1.2.1
-    pydantic_ai-v1.4.0: pydantic-ai==1.4.0
-    pydantic_ai-v1.6.0: pydantic-ai==1.6.0
+    pydantic_ai-v1.7.0: pydantic-ai==1.7.0
+    pydantic_ai-v1.14.1: pydantic-ai==1.14.1
+    pydantic_ai-v1.20.0: pydantic-ai==1.20.0
     pydantic_ai: pytest-asyncio
 
 
     # ~~~ Cloud ~~~
     boto3-v1.12.49: boto3==1.12.49
-    boto3-v1.20.54: boto3==1.20.54
-    boto3-v1.28.85: boto3==1.28.85
-    boto3-v1.40.59: boto3==1.40.59
+    boto3-v1.21.46: boto3==1.21.46
+    boto3-v1.33.13: boto3==1.33.13
+    boto3-v1.41.0: boto3==1.41.0
     {py3.7,py3.8}-boto3: urllib3<2.0.0
 
     chalice-v1.16.0: chalice==1.16.0
@@ -456,11 +482,11 @@ deps =
     asyncpg-v0.30.0: asyncpg==0.30.0
     asyncpg: pytest-asyncio
 
-    clickhouse_driver-v0.2.9: clickhouse-driver==0.2.9
+    clickhouse_driver-v0.2.10: clickhouse-driver==0.2.10
 
     pymongo-v3.5.1: pymongo==3.5.1
     pymongo-v3.13.0: pymongo==3.13.0
-    pymongo-v4.15.3: pymongo==4.15.3
+    pymongo-v4.15.4: pymongo==4.15.4
     pymongo: mockupdb
 
     redis-v2.10.6: redis==2.10.6
@@ -468,7 +494,7 @@ deps =
     redis-v4.6.0: redis==4.6.0
     redis-v5.3.1: redis==5.3.1
     redis-v6.4.0: redis==6.4.0
-    redis-v7.0.0: redis==7.0.0
+    redis-v7.1.0: redis==7.1.0
     redis: fakeredis!=1.7.4
     redis: pytest<8.0.0
     redis-v4.6.0: fakeredis<2.31.0
@@ -485,17 +511,17 @@ deps =
 
     # ~~~ Flags ~~~
     launchdarkly-v9.8.1: launchdarkly-server-sdk==9.8.1
-    launchdarkly-v9.12.1: launchdarkly-server-sdk==9.12.1
+    launchdarkly-v9.13.1: launchdarkly-server-sdk==9.13.1
 
     openfeature-v0.7.5: openfeature-sdk==0.7.5
     openfeature-v0.8.3: openfeature-sdk==0.8.3
 
     statsig-v0.55.3: statsig==0.55.3
-    statsig-v0.66.0: statsig==0.66.0
+    statsig-v0.66.1: statsig==0.66.1
     statsig: typing_extensions
 
     unleash-v6.0.1: UnleashClient==6.0.1
-    unleash-v6.3.0: UnleashClient==6.3.0
+    unleash-v6.4.0: UnleashClient==6.4.0
 
 
     # ~~~ GraphQL ~~~
@@ -518,7 +544,7 @@ deps =
     {py3.6}-graphene: aiocontextvars
 
     strawberry-v0.209.8: strawberry-graphql[fastapi,flask]==0.209.8
-    strawberry-v0.284.1: strawberry-graphql[fastapi,flask]==0.284.1
+    strawberry-v0.286.0: strawberry-graphql[fastapi,flask]==0.286.0
     strawberry: httpx
     strawberry-v0.209.8: pydantic<2.11
 
@@ -556,25 +582,24 @@ deps =
     arq-v0.23: pydantic<2
 
     beam-v2.14.0: apache-beam==2.14.0
-    beam-v2.68.0: apache-beam==2.68.0
-    beam-v2.69.0rc3: apache-beam==2.69.0rc3
+    beam-v2.69.0: apache-beam==2.69.0
     beam: dill
 
     celery-v4.4.7: celery==4.4.7
     celery-v5.5.3: celery==5.5.3
-    celery-v5.6.0b2: celery==5.6.0b2
+    celery-v5.6.0rc1: celery==5.6.0rc1
     celery: newrelic<10.17.0
     celery: redis
     {py3.7}-celery: importlib-metadata<5.0
 
     dramatiq-v1.9.0: dramatiq==1.9.0
-    dramatiq-v1.18.0: dramatiq==1.18.0
+    dramatiq-v2.0.0: dramatiq==2.0.0
 
     huey-v2.1.3: huey==2.1.3
     huey-v2.5.4: huey==2.5.4
 
     ray-v2.7.2: ray==2.7.2
-    ray-v2.50.1: ray==2.50.1
+    ray-v2.51.1: ray==2.51.1
 
     rq-v0.8.2: rq==0.8.2
     rq-v0.13.0: rq==0.13.0
@@ -595,23 +620,23 @@ deps =
     django-v1.11.29: django==1.11.29
     django-v2.2.28: django==2.2.28
     django-v3.2.25: django==3.2.25
-    django-v4.2.25: django==4.2.25
-    django-v5.2.7: django==5.2.7
-    django-v6.0b1: django==6.0b1
+    django-v4.2.26: django==4.2.26
+    django-v5.2.8: django==5.2.8
+    django-v6.0rc1: django==6.0rc1
     django: psycopg2-binary
     django: djangorestframework
     django: pytest-django
     django: Werkzeug
     django-v2.2.28: channels[daphne]
     django-v3.2.25: channels[daphne]
-    django-v4.2.25: channels[daphne]
-    django-v5.2.7: channels[daphne]
-    django-v6.0b1: channels[daphne]
+    django-v4.2.26: channels[daphne]
+    django-v5.2.8: channels[daphne]
+    django-v6.0rc1: channels[daphne]
     django-v2.2.28: six
     django-v3.2.25: pytest-asyncio
-    django-v4.2.25: pytest-asyncio
-    django-v5.2.7: pytest-asyncio
-    django-v6.0b1: pytest-asyncio
+    django-v4.2.26: pytest-asyncio
+    django-v5.2.8: pytest-asyncio
+    django-v6.0rc1: pytest-asyncio
     django-v1.11.29: djangorestframework>=3.0,<4.0
     django-v1.11.29: Werkzeug<2.1.0
     django-v2.2.28: djangorestframework>=3.0,<4.0
@@ -620,6 +645,7 @@ deps =
     django-v3.2.25: Werkzeug<2.1.0
     django-v1.11.29: pytest-django<4.0
     django-v2.2.28: pytest-django<4.0
+    {py3.14,py3.14t}-django: coverage==7.11.0
 
     flask-v1.1.4: flask==1.1.4
     flask-v2.3.3: flask==2.3.3
@@ -632,7 +658,7 @@ deps =
     starlette-v0.16.0: starlette==0.16.0
     starlette-v0.27.0: starlette==0.27.0
     starlette-v0.38.6: starlette==0.38.6
-    starlette-v0.48.0: starlette==0.48.0
+    starlette-v0.50.0: starlette==0.50.0
     starlette: pytest-asyncio
     starlette: python-multipart
     starlette: requests
@@ -646,7 +672,7 @@ deps =
     fastapi-v0.79.1: fastapi==0.79.1
     fastapi-v0.93.0: fastapi==0.93.0
     fastapi-v0.107.0: fastapi==0.107.0
-    fastapi-v0.120.0: fastapi==0.120.0
+    fastapi-v0.121.3: fastapi==0.121.3
     fastapi: httpx
     fastapi: pytest-asyncio
     fastapi: python-multipart
@@ -662,10 +688,10 @@ deps =
     aiohttp-v3.4.4: aiohttp==3.4.4
     aiohttp-v3.7.4: aiohttp==3.7.4
     aiohttp-v3.10.11: aiohttp==3.10.11
-    aiohttp-v3.13.1: aiohttp==3.13.1
+    aiohttp-v3.13.2: aiohttp==3.13.2
     aiohttp: pytest-aiohttp
     aiohttp-v3.10.11: pytest-asyncio
-    aiohttp-v3.13.1: pytest-asyncio
+    aiohttp-v3.13.2: pytest-asyncio
 
     bottle-v0.12.25: bottle==0.12.25
     bottle-v0.13.4: bottle==0.13.4
@@ -674,7 +700,7 @@ deps =
     falcon-v1.4.1: falcon==1.4.1
     falcon-v2.0.0: falcon==2.0.0
     falcon-v3.1.3: falcon==3.1.3
-    falcon-v4.1.0: falcon==4.1.0
+    falcon-v4.2.0: falcon==4.2.0
 
     litestar-v2.0.1: litestar==2.0.1
     litestar-v2.6.4: litestar==2.6.4
@@ -741,7 +767,7 @@ deps =
     trytond-v4.8.18: trytond==4.8.18
     trytond-v5.8.16: trytond==5.8.16
     trytond-v6.8.17: trytond==6.8.17
-    trytond-v7.6.9: trytond==7.6.9
+    trytond-v7.6.10: trytond==7.6.10
     trytond: werkzeug
     trytond-v4.6.22: werkzeug<1.0
     trytond-v4.8.18: werkzeug<1.0
@@ -766,11 +792,13 @@ setenv =
     # TESTPATH definitions for test suites not managed by toxgen
     common: TESTPATH=tests
     gevent: TESTPATH=tests
+    integration_deactivation: TESTPATH=tests/test_ai_integration_deactivation.py
     asgi: TESTPATH=tests/integrations/asgi
     aws_lambda: TESTPATH=tests/integrations/aws_lambda
     cloud_resource_context: TESTPATH=tests/integrations/cloud_resource_context
     gcp: TESTPATH=tests/integrations/gcp
     opentelemetry: TESTPATH=tests/integrations/opentelemetry
+    otlp: TESTPATH=tests/integrations/otlp
     potel: TESTPATH=tests/integrations/opentelemetry
     socket: TESTPATH=tests/integrations/socket
 
@@ -791,6 +819,7 @@ setenv =
     dramatiq: TESTPATH=tests/integrations/dramatiq
     falcon: TESTPATH=tests/integrations/falcon
     fastapi: TESTPATH=tests/integrations/fastapi
+    fastmcp: TESTPATH=tests/integrations/fastmcp
     flask: TESTPATH=tests/integrations/flask
     google_genai: TESTPATH=tests/integrations/google_genai
     gql: TESTPATH=tests/integrations/gql