From 7c55a5e8d805b87ded1252f0bd65dd3a28ef5770 Mon Sep 17 00:00:00 2001
From: Dylan Russell <dylanrus@gmail.com>
Date: Mon, 11 May 2026 20:13:47 +0000
Subject: [PATCH 1/6] Minor changes to utils lib

---
 .../src/opentelemetry/util/genai/utils.py                  | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/utils.py b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/utils.py
index 67efc22783..4881fbad91 100644
--- a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/utils.py
+++ b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/utils.py
@@ -7,6 +7,7 @@
 from base64 import b64encode
 from functools import partial
 from typing import Any
+from collections.abc import Sequence
 
 from opentelemetry.instrumentation._semconv import (
     _OpenTelemetrySemanticConventionStability,
@@ -111,6 +112,12 @@ def should_capture_content_on_spans_in_experimental_mode() -> bool:
         return False
     return True
 
+# Use this to serialize an Any type to something that can be put in a span attribute.
+# Span attributes must be one of str, bytes, int, float or bool.
+def serialize_any_to_span_attribute(item: Any) -> str | bytes | int | float | bool:
+    if isinstance(item, (str, bytes, int, float, bool)):
+        return item
+    return gen_ai_json_dumps(item)
 
 class _GenAiJsonEncoder(json.JSONEncoder):
     def default(self, o: Any) -> Any:

From 83d4ed8f9e26de2f8d74bcb3bfaa974f8c80f440 Mon Sep 17 00:00:00 2001
From: Dylan Russell <dylanrus@gmail.com>
Date: Tue, 12 May 2026 17:11:42 +0000
Subject: [PATCH 2/6] Make changes

---
 .../util/genai/_tool_invocation.py              | 17 +++++++++++++++--
 .../src/opentelemetry/util/genai/handler.py     |  4 ++++
 .../src/opentelemetry/util/genai/utils.py       |  7 -------
 3 files changed, 19 insertions(+), 9 deletions(-)

diff --git a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/_tool_invocation.py b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/_tool_invocation.py
index 2aa651408e..b8eea643b4 100644
--- a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/_tool_invocation.py
+++ b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/_tool_invocation.py
@@ -13,6 +13,7 @@
 from opentelemetry.util.genai._invocation import Error, GenAIInvocation
 from opentelemetry.util.genai.completion_hook import CompletionHook
 from opentelemetry.util.genai.metrics import InvocationMetricsRecorder
+from opentelemetry.util.genai.utils import gen_ai_json_dumps
 
 
 class ToolInvocation(GenAIInvocation):
@@ -47,6 +48,7 @@ def __init__(
         tool_call_id: str | None = None,
         tool_type: str | None = None,
         tool_description: str | None = None,
+        tool_result: Any = None,
     ) -> None:
         """Use handler.start_tool(name) or handler.tool(name) instead of calling this directly."""
         _operation_name = GenAI.GenAiOperationNameValues.EXECUTE_TOOL.value
@@ -63,7 +65,7 @@ def __init__(
         self.tool_call_id = tool_call_id
         self.tool_type = tool_type
         self.tool_description = tool_description
-        self.tool_result: Any = None
+        self.tool_result: Any = tool_result
         self._start(self._get_base_attributes())
 
     def _get_base_attributes(self) -> dict[str, Any]:
@@ -94,7 +96,18 @@ def _apply_finish(self, error: Error | None = None) -> None:
             (GenAI.GEN_AI_TOOL_CALL_ID, self.tool_call_id),
             (GenAI.GEN_AI_TOOL_TYPE, self.tool_type),
             (GenAI.GEN_AI_TOOL_DESCRIPTION, self.tool_description),
-            (GenAI.GEN_AI_TOOL_CALL_ARGUMENTS, self.arguments),
+            (
+                GenAI.GEN_AI_TOOL_CALL_ARGUMENTS,
+                gen_ai_json_dumps(self.arguments)
+                if self.arguments is not None
+                else None,
+            ),
+            (
+                GenAI.GEN_AI_TOOL_CALL_RESULT,
+                gen_ai_json_dumps(self.tool_result)
+                if self.tool_result is not None
+                else None,
+            ),
         )
         attributes: dict[str, Any] = {
             GenAI.GEN_AI_OPERATION_NAME: self._operation_name,
diff --git a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/handler.py b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/handler.py
index 9839e041b9..ad13412437 100644
--- a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/handler.py
+++ b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/handler.py
@@ -134,6 +134,8 @@ def should_capture_content(self) -> bool:
 
     # New-style factory methods: construct + start in one call, handler stored on invocation
 
+    # When updating this function signature, make sure to modify the `inference`
+    # function signature in the exact same way..
     def start_inference(
         self,
         provider: str,
@@ -275,6 +277,7 @@ def inference(
         request_model: str | None = None,
         server_address: str | None = None,
         server_port: int | None = None,
+        operation_name: str | None = None,
     ) -> AbstractContextManager[InferenceInvocation]:
         """Context manager for LLM inference invocations.
 
@@ -289,6 +292,7 @@ def inference(
             request_model=request_model,
             server_address=server_address,
             server_port=server_port,
+            operation_name=operation_name,
         )._managed()
 
     def embedding(
diff --git a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/utils.py b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/utils.py
index 4881fbad91..67efc22783 100644
--- a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/utils.py
+++ b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/utils.py
@@ -7,7 +7,6 @@
 from base64 import b64encode
 from functools import partial
 from typing import Any
-from collections.abc import Sequence
 
 from opentelemetry.instrumentation._semconv import (
     _OpenTelemetrySemanticConventionStability,
@@ -112,12 +111,6 @@ def should_capture_content_on_spans_in_experimental_mode() -> bool:
         return False
     return True
 
-# Use this to serialize an Any type to something that can be put in a span attribute.
-# Span attributes must be one of str, bytes, int, float or bool.
-def serialize_any_to_span_attribute(item: Any) -> str | bytes | int | float | bool:
-    if isinstance(item, (str, bytes, int, float, bool)):
-        return item
-    return gen_ai_json_dumps(item)
 
 class _GenAiJsonEncoder(json.JSONEncoder):
     def default(self, o: Any) -> Any:

From d371065c471cef92dd8e4015583a315c84974f81 Mon Sep 17 00:00:00 2001
From: Dylan Russell <dylanrus@gmail.com>
Date: Tue, 12 May 2026 18:42:45 +0000
Subject: [PATCH 3/6] Simplify ContextManager stuff

---
 .../instrumentation/anthropic/patch.py        |    2 +-
 util/opentelemetry-util-genai/CHANGELOG.md    |    2 +-
 .../opentelemetry/util/genai/_invocation.py   |   30 +-
 .../src/opentelemetry/util/genai/handler.py   |  228 +-
 uv.lock                                       | 6182 +++++++++--------
 5 files changed, 3166 insertions(+), 3278 deletions(-)

diff --git a/instrumentation-genai/opentelemetry-instrumentation-anthropic/src/opentelemetry/instrumentation/anthropic/patch.py b/instrumentation-genai/opentelemetry-instrumentation-anthropic/src/opentelemetry/instrumentation/anthropic/patch.py
index 5dd0132e10..b10d5de130 100644
--- a/instrumentation-genai/opentelemetry-instrumentation-anthropic/src/opentelemetry/instrumentation/anthropic/patch.py
+++ b/instrumentation-genai/opentelemetry-instrumentation-anthropic/src/opentelemetry/instrumentation/anthropic/patch.py
@@ -114,7 +114,7 @@ def _create_invocation(
     )
 
     server_address, server_port = get_server_address_and_port(instance)
-    invocation = handler.start_inference(
+    invocation = handler.inference(
         provider=ANTHROPIC,
         request_model=request_model,
         server_address=server_address,
diff --git a/util/opentelemetry-util-genai/CHANGELOG.md b/util/opentelemetry-util-genai/CHANGELOG.md
index 97dcb93090..c21640b4de 100644
--- a/util/opentelemetry-util-genai/CHANGELOG.md
+++ b/util/opentelemetry-util-genai/CHANGELOG.md
@@ -13,7 +13,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Apply attribute for sampling on instantiation of all invocation types.
   ([#4553](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/4553))
 - Minor code cleanup and changes in preparation of moving google's GenAI instrumentation
-  library to use this util library ([#4556](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/4556))
+  library to use this util library ([#4556](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/4556), [#4570](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/4570))
 
 ## Version 0.4b0 (2026-05-01)
 
diff --git a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/_invocation.py b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/_invocation.py
index f5f6973111..464297350f 100644
--- a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/_invocation.py
+++ b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/_invocation.py
@@ -5,12 +5,12 @@
 
 import timeit
 from abc import ABC, abstractmethod
-from contextlib import contextmanager
 from contextvars import Token
 from dataclasses import asdict
-from typing import TYPE_CHECKING, Any, Iterator, Sequence
+from types import TracebackType
+from typing import TYPE_CHECKING, Any, Sequence
 
-from typing_extensions import Self, TypeAlias
+from typing_extensions import TypeAlias
 
 from opentelemetry._logs import Logger, LogRecord
 from opentelemetry.context import Context, attach, detach
@@ -138,6 +138,20 @@ def _call_completion_hook(
             log_record=log_record,
         )
 
+    def __enter__(self):
+        return self
+
+    def __exit__(
+        self,
+        type_: type[BaseException] | None,
+        value: BaseException | None,
+        traceback: TracebackType | None,
+    ) -> None:
+        if value:
+            self.fail(value)
+            raise
+        self.stop()
+
     @abstractmethod
     def _apply_finish(self, error: Error | None = None) -> None:
         """Apply finish telemetry (attributes, metrics, events)."""
@@ -165,16 +179,6 @@ def fail(self, error: Error | BaseException) -> None:
             error = Error(type=type(error), message=str(error))
         self._finish(error)
 
-    @contextmanager
-    def _managed(self) -> Iterator[Self]:
-        """Context manager that calls stop() on success or fail() on exception."""
-        try:
-            yield self
-        except Exception as exc:
-            self.fail(exc)
-            raise
-        self.stop()
-
 
 def get_content_attributes(
     *,
diff --git a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/handler.py b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/handler.py
index ad13412437..2d5973039b 100644
--- a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/handler.py
+++ b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/handler.py
@@ -17,7 +17,7 @@
     handler = get_telemetry_handler()
 
     # Factory method: construct and start in one call, then stop or fail.
-    invocation = handler.start_inference("my-provider", request_model="my-model")
+    invocation = handler.inference("my-provider", request_model="my-model")
     invocation.input_messages = [...]
     invocation.temperature = 0.7
     try:
@@ -38,7 +38,6 @@
 from __future__ import annotations
 
 import os
-from contextlib import AbstractContextManager
 
 from opentelemetry._logs import (
     LoggerProvider,
@@ -132,41 +131,13 @@ def should_capture_content(self) -> bool:
         """
         return self._capture_content
 
-    # New-style factory methods: construct + start in one call, handler stored on invocation
-
-    # When updating this function signature, make sure to modify the `inference`
-    # function signature in the exact same way..
-    def start_inference(
-        self,
-        provider: str,
-        *,
-        request_model: str | None = None,
-        server_address: str | None = None,
-        server_port: int | None = None,
-        operation_name: str | None = None,
-    ) -> InferenceInvocation:
-        """Create and start an LLM inference invocation.
-
-        Set remaining attributes (input_messages, temperature, etc.) on the
-        returned invocation, then call invocation.stop() or invocation.fail().
-        """
-        return InferenceInvocation(
-            self._tracer,
-            self._metrics_recorder,
-            self._logger,
-            self._completion_hook,
-            provider,
-            request_model=request_model,
-            server_address=server_address,
-            server_port=server_port,
-            operation_name=operation_name,
-        )
+    # New-style factory methods: optionally construct + start in one call, handler stored on invocation
 
     def start_llm(self, invocation: LLMInvocation) -> LLMInvocation:
         """Start an LLM invocation.
 
         .. deprecated::
-            Use ``handler.start_inference()`` instead.
+            Use ``handler.inference()`` instead.
         """
         invocation._start_with_handler(
             self._tracer,
@@ -176,79 +147,11 @@ def start_llm(self, invocation: LLMInvocation) -> LLMInvocation:
         )
         return invocation
 
-    def start_embedding(
-        self,
-        provider: str,
-        *,
-        request_model: str | None = None,
-        server_address: str | None = None,
-        server_port: int | None = None,
-    ) -> EmbeddingInvocation:
-        """Create and start an Embedding invocation.
-
-        Set remaining attributes (encoding_formats, etc.) on the returned
-        invocation, then call invocation.stop() or invocation.fail().
-        """
-        return EmbeddingInvocation(
-            self._tracer,
-            self._metrics_recorder,
-            self._logger,
-            self._completion_hook,
-            provider,
-            request_model=request_model,
-            server_address=server_address,
-            server_port=server_port,
-        )
-
-    def start_tool(
-        self,
-        name: str,
-        *,
-        arguments: object = None,
-        tool_call_id: str | None = None,
-        tool_type: str | None = None,
-        tool_description: str | None = None,
-    ) -> ToolInvocation:
-        """Create and start a tool invocation.
-
-        Set tool_result on the returned invocation when done, then call
-        invocation.stop() or invocation.fail().
-        """
-        return ToolInvocation(
-            self._tracer,
-            self._metrics_recorder,
-            self._logger,
-            self._completion_hook,
-            name,
-            arguments=arguments,
-            tool_call_id=tool_call_id,
-            tool_type=tool_type,
-            tool_description=tool_description,
-        )
-
-    def start_workflow(
-        self,
-        *,
-        name: str | None = None,
-    ) -> WorkflowInvocation:
-        """Create and start a workflow invocation.
-
-        Set remaining attributes on the returned invocation, then call
-        invocation.stop() or invocation.fail().
-        """
-        return WorkflowInvocation(
-            self._tracer,
-            self._metrics_recorder,
-            self._logger,
-            self._completion_hook,
-            name,
-        )
-
     def stop_llm(self, invocation: LLMInvocation) -> LLMInvocation:  # pylint: disable=no-self-use
         """Finalize an LLM invocation successfully and end its span.
 
         .. deprecated::
-            Use ``handler.start_inference()``  and then ``inference.stop()`` instead.
+            Use ``handler.inference()``  and then ``inference.stop()`` instead.
         """
         invocation._sync_to_invocation()
         if invocation._inference_invocation is not None:
@@ -263,7 +166,7 @@ def fail_llm(  # pylint: disable=no-self-use
         """Fail an LLM invocation and end its span with error status.
 
         .. deprecated::
-            Use ``handler.start_inference()``  and then ``inference.fail()`` instead.
+            Use ``handler.inference()``  and then ``inference.fail()`` instead.
         """
         invocation._sync_to_invocation()
         if invocation._inference_invocation is not None:
@@ -278,22 +181,27 @@ def inference(
         server_address: str | None = None,
         server_port: int | None = None,
         operation_name: str | None = None,
-    ) -> AbstractContextManager[InferenceInvocation]:
-        """Context manager for LLM inference invocations.
+    ) -> InferenceInvocation:
+        """This function can be used as a ContextManager
 
         Only set data attributes on the invocation object, do not modify the span or context.
 
-        Starts the span on entry. On normal exit, finalizes the invocation and ends the span.
+
+        Starts the span when called. If you used as a ContextManager, on exit it finalizes the invocation and ends the span.
         If an exception occurs inside the context, marks the span as error, ends it, and
         re-raises the original exception.
         """
-        return self.start_inference(
-            provider=provider,
+        return InferenceInvocation(
+            self._tracer,
+            self._metrics_recorder,
+            self._logger,
+            self._completion_hook,
+            provider,
             request_model=request_model,
             server_address=server_address,
             server_port=server_port,
             operation_name=operation_name,
-        )._managed()
+        )
 
     def embedding(
         self,
@@ -302,7 +210,7 @@ def embedding(
         request_model: str | None = None,
         server_address: str | None = None,
         server_port: int | None = None,
-    ) -> AbstractContextManager[EmbeddingInvocation]:
+    ) -> EmbeddingInvocation:
         """Context manager for Embedding invocations.
 
         Only set data attributes on the invocation object, do not modify the span or context.
@@ -311,12 +219,16 @@ def embedding(
         If an exception occurs inside the context, marks the span as error, ends it, and
         re-raises the original exception.
         """
-        return self.start_embedding(
-            provider=provider,
+        return EmbeddingInvocation(
+            self._tracer,
+            self._metrics_recorder,
+            self._logger,
+            self._completion_hook,
+            provider,
             request_model=request_model,
             server_address=server_address,
             server_port=server_port,
-        )._managed()
+        )
 
     def tool(
         self,
@@ -326,7 +238,7 @@ def tool(
         tool_call_id: str | None = None,
         tool_type: str | None = None,
         tool_description: str | None = None,
-    ) -> AbstractContextManager[ToolInvocation]:
+    ) -> ToolInvocation:
         """Context manager for Tool invocations.
 
         Only set data attributes on the invocation object, do not modify the span or context.
@@ -335,27 +247,34 @@ def tool(
         If an exception occurs inside the context, marks the span as error, ends it, and
         re-raises the original exception.
         """
-        return self.start_tool(
+        return ToolInvocation(
+            self._tracer,
+            self._metrics_recorder,
+            self._logger,
+            self._completion_hook,
             name,
             arguments=arguments,
             tool_call_id=tool_call_id,
             tool_type=tool_type,
             tool_description=tool_description,
-        )._managed()
+        )
 
-    def start_invoke_local_agent(
+    def invoke_local_agent(
         self,
         provider: str,
         *,
         request_model: str | None = None,
         agent_name: str | None = None,
     ) -> AgentInvocation:
-        """Create and start a local agent invocation (INTERNAL span kind).
+        """Context manager for local agent invocations (INTERNAL span kind).
 
         Use for agents running within the same process (e.g. LangChain, CrewAI).
 
-        Set remaining attributes (agent_name, etc.) on the returned invocation,
-        then call invocation.stop() or invocation.fail().
+        Only set data attributes on the invocation object, do not modify the span or context.
+
+        Starts the span on entry. On normal exit, finalizes the invocation and ends the span.
+        If an exception occurs inside the context, marks the span as error, ends it, and
+        re-raises the original exception.
         """
         return AgentInvocation(
             self._tracer,
@@ -368,7 +287,7 @@ def start_invoke_local_agent(
             agent_name=agent_name,
         )
 
-    def start_invoke_remote_agent(
+    def invoke_remote_agent(
         self,
         provider: str,
         *,
@@ -377,12 +296,15 @@ def start_invoke_remote_agent(
         server_port: int | None = None,
         agent_name: str | None = None,
     ) -> AgentInvocation:
-        """Create and start a remote agent invocation (CLIENT span kind).
+        """Context manager for remote agent invocations (CLIENT span kind).
 
         Use for agents invoked over a remote service (e.g. OpenAI Assistants, AWS Bedrock).
 
-        Set remaining attributes (agent_name, etc.) on the returned invocation,
-        then call invocation.stop() or invocation.fail().
+        Only set data attributes on the invocation object, do not modify the span or context.
+
+        Starts the span on entry. On normal exit, finalizes the invocation and ends the span.
+        If an exception occurs inside the context, marks the span as error, ends it, and
+        re-raises the original exception.
         """
         return AgentInvocation(
             self._tracer,
@@ -397,60 +319,10 @@ def start_invoke_remote_agent(
             server_port=server_port,
         )
 
-    def invoke_local_agent(
-        self,
-        provider: str,
-        *,
-        request_model: str | None = None,
-        agent_name: str | None = None,
-    ) -> AbstractContextManager[AgentInvocation]:
-        """Context manager for local agent invocations (INTERNAL span kind).
-
-        Use for agents running within the same process (e.g. LangChain, CrewAI).
-
-        Only set data attributes on the invocation object, do not modify the span or context.
-
-        Starts the span on entry. On normal exit, finalizes the invocation and ends the span.
-        If an exception occurs inside the context, marks the span as error, ends it, and
-        re-raises the original exception.
-        """
-        return self.start_invoke_local_agent(
-            provider,
-            request_model=request_model,
-            agent_name=agent_name,
-        )._managed()
-
-    def invoke_remote_agent(
-        self,
-        provider: str,
-        *,
-        request_model: str | None = None,
-        server_address: str | None = None,
-        server_port: int | None = None,
-        agent_name: str | None = None,
-    ) -> AbstractContextManager[AgentInvocation]:
-        """Context manager for remote agent invocations (CLIENT span kind).
-
-        Use for agents invoked over a remote service (e.g. OpenAI Assistants, AWS Bedrock).
-
-        Only set data attributes on the invocation object, do not modify the span or context.
-
-        Starts the span on entry. On normal exit, finalizes the invocation and ends the span.
-        If an exception occurs inside the context, marks the span as error, ends it, and
-        re-raises the original exception.
-        """
-        return self.start_invoke_remote_agent(
-            provider,
-            request_model=request_model,
-            agent_name=agent_name,
-            server_address=server_address,
-            server_port=server_port,
-        )._managed()
-
     def workflow(
         self,
         name: str | None = None,
-    ) -> AbstractContextManager[WorkflowInvocation]:
+    ) -> WorkflowInvocation:
         """Context manager for Workflow invocations.
 
         Only set data attributes on the invocation object, do not modify the span or context.
@@ -459,7 +331,13 @@ def workflow(
         If an exception occurs inside the context, marks the span as error, ends it, and
         re-raises the original exception.
         """
-        return self.start_workflow(name=name)._managed()
+        return WorkflowInvocation(
+            self._tracer,
+            self._metrics_recorder,
+            self._logger,
+            self._completion_hook,
+            name,
+        )
 
 
 def get_telemetry_handler(
diff --git a/uv.lock b/uv.lock
index e015600132..9d5610511b 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,5 +1,5 @@
 version = 1
-revision = 3
+revision = 2
 requires-python = ">=3.10"
 resolution-markers = [
     "python_full_version >= '3.14'",
@@ -84,21 +84,21 @@ members = [
 [[package]]
 name = "aio-pika"
 version = "9.5.8"
-source = { registry = "https://pypi.org/simple/" }
+source = { registry = "https://us-python.pkg.dev/artifact-foundry-prod/ah-3p-staging-python/simple/" }
 dependencies = [
     { name = "aiormq" },
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 ]

From 180cfb27474acb87146639381875301584f34a20 Mon Sep 17 00:00:00 2001
From: Dylan Russell <dylanrus@gmail.com>
Date: Tue, 12 May 2026 18:55:21 +0000
Subject: [PATCH 4/6] Fix tests

---
 .../tests/test_handler_agent.py               | 64 +++++++++----------
 .../tests/test_handler_completion_hook.py     | 34 +++++-----
 .../tests/test_handler_metrics.py             | 18 +++---
 .../tests/test_handler_workflow.py            | 28 ++++----
 .../tests/test_toolcall.py                    |  8 +--
 .../tests/test_utils.py                       | 30 ++++-----
 .../tests/test_utils_events.py                | 16 ++---
 .../tests/test_workflow_invocation.py         | 20 +++---
 8 files changed, 109 insertions(+), 109 deletions(-)

diff --git a/util/opentelemetry-util-genai/tests/test_handler_agent.py b/util/opentelemetry-util-genai/tests/test_handler_agent.py
index 9f1179e1b5..aa4812d304 100644
--- a/util/opentelemetry-util-genai/tests/test_handler_agent.py
+++ b/util/opentelemetry-util-genai/tests/test_handler_agent.py
@@ -39,7 +39,7 @@ def setUp(self):
         self.handler = TelemetryHandler(tracer_provider=tracer_provider)
 
     def test_start_stop_creates_span(self):
-        invocation = self.handler.start_invoke_local_agent(
+        invocation = self.handler.invoke_local_agent(
             "openai",
             request_model="gpt-4",
             agent_name="Math Tutor",
@@ -56,7 +56,7 @@ def test_start_stop_creates_span(self):
         assert span.attributes[GenAI.GEN_AI_REQUEST_MODEL] == "gpt-4"
 
     def test_span_kind_internal(self):
-        invocation = self.handler.start_invoke_local_agent("openai")
+        invocation = self.handler.invoke_local_agent("openai")
         invocation.stop()
         assert (
             self.span_exporter.get_finished_spans()[0].kind
@@ -64,14 +64,14 @@ def test_span_kind_internal(self):
         )
 
     def test_no_server_attributes(self):
-        invocation = self.handler.start_invoke_local_agent("openai")
+        invocation = self.handler.invoke_local_agent("openai")
         invocation.stop()
         attrs = self.span_exporter.get_finished_spans()[0].attributes
         assert server_attributes.SERVER_ADDRESS not in attrs
         assert server_attributes.SERVER_PORT not in attrs
 
     def test_all_attributes(self):
-        invocation = self.handler.start_invoke_local_agent(
+        invocation = self.handler.invoke_local_agent(
             "openai",
             request_model="gpt-4",
         )
@@ -116,7 +116,7 @@ def test_all_attributes(self):
         assert attrs[GenAI.GEN_AI_RESPONSE_FINISH_REASONS] == ("stop",)
 
     def test_finish_reasons_multiple(self):
-        invocation = self.handler.start_invoke_local_agent("openai")
+        invocation = self.handler.invoke_local_agent("openai")
         invocation.finish_reasons = ["stop", "length"]
         invocation.stop()
         attrs = self.span_exporter.get_finished_spans()[0].attributes
@@ -126,7 +126,7 @@ def test_finish_reasons_multiple(self):
         )
 
     def test_finish_reasons_empty_list_omitted(self):
-        invocation = self.handler.start_invoke_local_agent("openai")
+        invocation = self.handler.invoke_local_agent("openai")
         invocation.finish_reasons = []
         invocation.stop()
         attrs = self.span_exporter.get_finished_spans()[0].attributes
@@ -134,7 +134,7 @@ def test_finish_reasons_empty_list_omitted(self):
         assert GenAI.GEN_AI_RESPONSE_FINISH_REASONS not in attrs
 
     def test_cache_token_attributes(self):
-        invocation = self.handler.start_invoke_local_agent("openai")
+        invocation = self.handler.invoke_local_agent("openai")
         invocation.input_tokens = 100
         invocation.cache_creation_input_tokens = 25
         invocation.cache_read_input_tokens = 50
@@ -146,7 +146,7 @@ def test_cache_token_attributes(self):
         assert attrs[GenAI.GEN_AI_USAGE_CACHE_READ_INPUT_TOKENS] == 50
 
     def test_fail_sets_error_status(self):
-        invocation = self.handler.start_invoke_local_agent("openai")
+        invocation = self.handler.invoke_local_agent("openai")
         invocation.fail(RuntimeError("agent crashed"))
 
         span = self.span_exporter.get_finished_spans()[0]
@@ -183,7 +183,7 @@ def test_context_manager_default_invocation(self):
         assert len(self.span_exporter.get_finished_spans()) == 1
 
     def test_default_values(self):
-        invocation = self.handler.start_invoke_local_agent("openai")
+        invocation = self.handler.invoke_local_agent("openai")
         invocation.stop()
         assert invocation._operation_name == "invoke_agent"
         assert invocation.agent_name is None
@@ -198,7 +198,7 @@ def test_default_values(self):
         assert not invocation.attributes
 
     def test_with_messages(self):
-        invocation = self.handler.start_invoke_local_agent("openai")
+        invocation = self.handler.invoke_local_agent("openai")
         invocation.input_messages = [
             InputMessage(role="user", parts=[Text(content="Hello")])
         ]
@@ -214,7 +214,7 @@ def test_with_messages(self):
         assert invocation.input_messages[0].role == "user"
 
     def test_custom_attributes(self):
-        invocation = self.handler.start_invoke_local_agent("openai")
+        invocation = self.handler.invoke_local_agent("openai")
         invocation.attributes["custom.key"] = "custom_value"
         invocation.stop()
         spans = self.span_exporter.get_finished_spans()
@@ -226,7 +226,7 @@ def test_tool_definitions_type(self):
             description="Get the weather",
             parameters={"type": "object", "properties": {}},
         )
-        invocation = self.handler.start_invoke_local_agent("openai")
+        invocation = self.handler.invoke_local_agent("openai")
         invocation.tool_definitions = [tool]
         invocation.stop()
         assert len(invocation.tool_definitions) == 1
@@ -234,23 +234,23 @@ def test_tool_definitions_type(self):
         assert invocation.tool_definitions[0].type == "function"
 
     def test_default_lists_are_independent(self):
-        inv1 = self.handler.start_invoke_local_agent("openai")
-        inv2 = self.handler.start_invoke_local_agent("openai")
+        inv1 = self.handler.invoke_local_agent("openai")
+        inv2 = self.handler.invoke_local_agent("openai")
         inv1.input_messages.append(InputMessage(role="user", parts=[]))
         assert len(inv2.input_messages) == 0
         inv2.stop()
         inv1.stop()
 
     def test_default_attributes_are_independent(self):
-        inv1 = self.handler.start_invoke_local_agent("openai")
-        inv2 = self.handler.start_invoke_local_agent("openai")
+        inv1 = self.handler.invoke_local_agent("openai")
+        inv2 = self.handler.invoke_local_agent("openai")
         inv1.attributes["foo"] = "bar"
         assert "foo" not in inv2.attributes
         inv2.stop()
         inv1.stop()
 
     def test_agent_name_set_after_construction(self):
-        invocation = self.handler.start_invoke_local_agent("openai")
+        invocation = self.handler.invoke_local_agent("openai")
         invocation.agent_name = "Named Agent"
         invocation.stop()
         span = self.span_exporter.get_finished_spans()[0]
@@ -260,7 +260,7 @@ def test_agent_name_set_after_construction(self):
         assert span.attributes[GenAI.GEN_AI_AGENT_NAME] == "Named Agent"
 
     def test_agent_name_passed_at_construction(self):
-        invocation = self.handler.start_invoke_local_agent(
+        invocation = self.handler.invoke_local_agent(
             "openai", agent_name="Constructor Agent"
         )
         invocation.stop()
@@ -293,7 +293,7 @@ def get_description(self):
         )
         handler = TelemetryHandler(tracer_provider=sampler_provider)
 
-        invocation = handler.start_invoke_local_agent(
+        invocation = handler.invoke_local_agent(
             "openai", agent_name="Sampler Agent"
         )
         invocation.stop()
@@ -325,7 +325,7 @@ def get_description(self):
         )
         handler = TelemetryHandler(tracer_provider=sampler_provider)
 
-        invocation = handler.start_invoke_local_agent("openai")
+        invocation = handler.invoke_local_agent("openai")
         invocation.stop()
 
         assert GenAI.GEN_AI_AGENT_NAME not in captured_attributes
@@ -349,7 +349,7 @@ def setUp(self):
         return_value=True,
     )
     def test_system_instruction_on_span(self, _mock_exp, _mock_cap):
-        invocation = self.handler.start_invoke_local_agent("openai")
+        invocation = self.handler.invoke_local_agent("openai")
         invocation.system_instruction = [
             Text(content="You are a helpful assistant."),
         ]
@@ -372,7 +372,7 @@ def test_tool_definitions_on_span(self, _mock_exp, _mock_cap):
             description="Get the weather",
             parameters={"type": "object", "properties": {}},
         )
-        invocation = self.handler.start_invoke_local_agent("openai")
+        invocation = self.handler.invoke_local_agent("openai")
         invocation.tool_definitions = [tool]
         invocation.stop()
 
@@ -388,7 +388,7 @@ def test_tool_definitions_on_span(self, _mock_exp, _mock_cap):
         return_value=True,
     )
     def test_messages_on_span(self, _mock_exp, _mock_cap):
-        invocation = self.handler.start_invoke_local_agent("openai")
+        invocation = self.handler.invoke_local_agent("openai")
         invocation.input_messages = [
             InputMessage(role="user", parts=[Text(content="Hello")])
         ]
@@ -406,7 +406,7 @@ def test_messages_on_span(self, _mock_exp, _mock_cap):
         assert GenAI.GEN_AI_OUTPUT_MESSAGES in attrs
 
     def test_content_not_on_span_by_default(self):
-        invocation = self.handler.start_invoke_local_agent("openai")
+        invocation = self.handler.invoke_local_agent("openai")
         invocation.system_instruction = [
             Text(content="You are a helpful assistant."),
         ]
@@ -430,14 +430,14 @@ def setUp(self):
         self.handler = TelemetryHandler(tracer_provider=tracer_provider)
 
     def test_span_kind_client(self):
-        invocation = self.handler.start_invoke_remote_agent("openai")
+        invocation = self.handler.invoke_remote_agent("openai")
         invocation.stop()
         assert (
             self.span_exporter.get_finished_spans()[0].kind == SpanKind.CLIENT
         )
 
     def test_server_attributes(self):
-        invocation = self.handler.start_invoke_remote_agent(
+        invocation = self.handler.invoke_remote_agent(
             "openai",
             server_address="api.openai.com",
             server_port=443,
@@ -448,7 +448,7 @@ def test_server_attributes(self):
         assert attrs[server_attributes.SERVER_PORT] == 443
 
     def test_all_attributes(self):
-        invocation = self.handler.start_invoke_remote_agent(
+        invocation = self.handler.invoke_remote_agent(
             "openai",
             request_model="gpt-4",
             server_address="api.openai.com",
@@ -472,7 +472,7 @@ def test_all_attributes(self):
         assert attrs[GenAI.GEN_AI_REQUEST_MODEL] == "gpt-4"
 
     def test_fail_sets_error_status(self):
-        invocation = self.handler.start_invoke_remote_agent("openai")
+        invocation = self.handler.invoke_remote_agent("openai")
         invocation.fail(RuntimeError("remote agent crashed"))
 
         span = self.span_exporter.get_finished_spans()[0]
@@ -532,7 +532,7 @@ def get_description(self):
         )
         handler = TelemetryHandler(tracer_provider=sampler_provider)
 
-        invocation = handler.start_invoke_remote_agent(
+        invocation = handler.invoke_remote_agent(
             "test-provider",
             request_model="agent-model",
             agent_name="Math Tutor",
@@ -563,7 +563,7 @@ def test_local_agent_records_duration_and_tokens(self) -> None:
             meter_provider=self.meter_provider,
         )
         with patch("timeit.default_timer", return_value=1000.0):
-            invocation = handler.start_invoke_local_agent(
+            invocation = handler.invoke_local_agent(
                 "prov", request_model="model"
             )
         invocation.input_tokens = 5
@@ -612,7 +612,7 @@ def test_remote_agent_records_duration_with_server_attrs(self) -> None:
             tracer_provider=self.tracer_provider,
             meter_provider=self.meter_provider,
         )
-        invocation = handler.start_invoke_remote_agent(
+        invocation = handler.invoke_remote_agent(
             "prov",
             request_model="model",
             server_address="agent.example.com",
@@ -635,7 +635,7 @@ def test_fail_agent_records_error_metric(self) -> None:
             meter_provider=self.meter_provider,
         )
         with patch("timeit.default_timer", return_value=2000.0):
-            invocation = handler.start_invoke_local_agent(
+            invocation = handler.invoke_local_agent(
                 "", request_model="err-model"
             )
         invocation.input_tokens = 11
diff --git a/util/opentelemetry-util-genai/tests/test_handler_completion_hook.py b/util/opentelemetry-util-genai/tests/test_handler_completion_hook.py
index 8ed714b04f..19bd874a6d 100644
--- a/util/opentelemetry-util-genai/tests/test_handler_completion_hook.py
+++ b/util/opentelemetry-util-genai/tests/test_handler_completion_hook.py
@@ -79,7 +79,7 @@ def test_hook_called_on_stop(self):
             )
         ]
 
-        invocation = handler.start_inference("openai", request_model="gpt-4o")
+        invocation = handler.inference("openai", request_model="gpt-4o")
         invocation.input_messages = input_messages
         invocation.output_messages = output_messages
         invocation.system_instruction = system_instruction
@@ -102,7 +102,7 @@ def test_hook_called_on_fail(self):
             InputMessage(role="user", parts=[Text(content="hello")])
         ]
 
-        invocation = handler.start_inference("openai", request_model="gpt-4o")
+        invocation = handler.inference("openai", request_model="gpt-4o")
         invocation.input_messages = input_messages
         invocation.fail(ValueError("boom"))
 
@@ -114,7 +114,7 @@ def test_hook_called_on_fail(self):
     def test_hook_not_called_when_not_set(self):
         # No hook — stop should not raise
         handler = self._make_handler()
-        handler.start_inference("openai", request_model="gpt-4o").stop()
+        handler.inference("openai", request_model="gpt-4o").stop()
 
     def test_log_record_is_none_when_events_disabled(self):
         # Default env: no experimental mode, so log_record should be None.
@@ -123,7 +123,7 @@ def test_log_record_is_none_when_events_disabled(self):
         hook = MagicMock()
         handler = self._make_handler(hook)
 
-        handler.start_inference("openai", request_model="gpt-4o").stop()
+        handler.inference("openai", request_model="gpt-4o").stop()
 
         kwargs = hook.on_completion.call_args.kwargs
         self.assertIsNone(kwargs["log_record"])
@@ -137,7 +137,7 @@ def test_log_record_passed_when_events_enabled(self):
         hook = MagicMock()
         handler = self._make_handler(hook)
 
-        handler.start_inference("openai", request_model="gpt-4o").stop()
+        handler.inference("openai", request_model="gpt-4o").stop()
 
         kwargs = hook.on_completion.call_args.kwargs
         self.assertIsNotNone(kwargs["log_record"])
@@ -162,7 +162,7 @@ def stamp_ref(*, log_record, **kwargs):
         hook = MagicMock(on_completion=stamp_ref)
         handler = self._make_handler(hook)
 
-        handler.start_inference("openai", request_model="gpt-4o").stop()
+        handler.inference("openai", request_model="gpt-4o").stop()
 
         # The record the hook stamped is the same one that would be emitted
         self.assertIsNotNone(stamped_record)
@@ -281,7 +281,7 @@ def test_workflow_hook_called_on_stop_with_messages(self):
             )
         ]
 
-        invocation = handler.start_workflow(name="my-workflow")
+        invocation = handler.workflow(name="my-workflow")
         invocation.input_messages = input_messages
         invocation.output_messages = output_messages
         invocation.stop()
@@ -300,7 +300,7 @@ def test_workflow_hook_called_on_fail(self):
         hook = MagicMock()
         handler = self._make_handler(hook)
 
-        invocation = handler.start_workflow(name="my-workflow")
+        invocation = handler.workflow(name="my-workflow")
         invocation.input_messages = [
             InputMessage(role="user", parts=[Text(content="hello")])
         ]
@@ -314,7 +314,7 @@ def test_workflow_hook_called_with_empty_messages_when_none_set(self):
         hook = MagicMock()
         handler = self._make_handler(hook)
 
-        handler.start_workflow(name="my-workflow").stop()
+        handler.workflow(name="my-workflow").stop()
 
         hook.on_completion.assert_called_once()
         kwargs = hook.on_completion.call_args.kwargs
@@ -344,7 +344,7 @@ def test_local_agent_hook_called_on_stop_with_messages(self):
             )
         ]
 
-        invocation = handler.start_invoke_local_agent(
+        invocation = handler.invoke_local_agent(
             "openai", request_model="gpt-4"
         )
         invocation.agent_name = "Math Tutor"
@@ -367,7 +367,7 @@ def test_local_agent_hook_called_on_fail(self):
         hook = MagicMock()
         handler = self._make_handler(hook)
 
-        invocation = handler.start_invoke_local_agent(
+        invocation = handler.invoke_local_agent(
             "openai", request_model="gpt-4"
         )
         invocation.input_messages = [
@@ -402,7 +402,7 @@ def test_remote_agent_hook_called_on_stop_with_messages(self):
             )
         ]
 
-        invocation = handler.start_invoke_remote_agent(
+        invocation = handler.invoke_remote_agent(
             "openai",
             request_model="gpt-4",
             server_address="api.openai.com",
@@ -425,7 +425,7 @@ def test_remote_agent_hook_called_on_fail(self):
         hook = MagicMock()
         handler = self._make_handler(hook)
 
-        invocation = handler.start_invoke_remote_agent("openai")
+        invocation = handler.invoke_remote_agent("openai")
         invocation.fail(RuntimeError("remote agent crashed"))
 
         hook.on_completion.assert_called_once()
@@ -436,8 +436,8 @@ def test_agent_hook_called_with_empty_messages_when_none_set(self):
         hook = MagicMock()
         handler = self._make_handler(hook)
 
-        handler.start_invoke_local_agent("openai").stop()
-        handler.start_invoke_remote_agent("openai").stop()
+        handler.invoke_local_agent("openai").stop()
+        handler.invoke_remote_agent("openai").stop()
 
         for call in hook.on_completion.call_args_list:
             self.assertEqual(call.kwargs["inputs"], [])
@@ -448,5 +448,5 @@ def test_agent_hook_called_with_empty_messages_when_none_set(self):
     def test_agent_hook_not_called_when_not_set(self):
         # No hook — stop should not raise
         handler = self._make_handler()
-        handler.start_invoke_local_agent("openai").stop()
-        handler.start_invoke_remote_agent("openai").stop()
+        handler.invoke_local_agent("openai").stop()
+        handler.invoke_remote_agent("openai").stop()
diff --git a/util/opentelemetry-util-genai/tests/test_handler_metrics.py b/util/opentelemetry-util-genai/tests/test_handler_metrics.py
index 5e2a58fd3c..37a13cdd34 100644
--- a/util/opentelemetry-util-genai/tests/test_handler_metrics.py
+++ b/util/opentelemetry-util-genai/tests/test_handler_metrics.py
@@ -27,7 +27,7 @@ def test_stop_llm_records_duration_and_tokens(self) -> None:
         )
         # Patch default_timer during start to ensure monotonic_start_s
         with patch("timeit.default_timer", return_value=1000.0):
-            invocation = handler.start_inference("prov", request_model="model")
+            invocation = handler.inference("prov", request_model="model")
         invocation.input_tokens = 5
         invocation.output_tokens = 7
 
@@ -82,7 +82,7 @@ def test_stop_llm_records_duration_and_tokens_with_additional_attributes(
             meter_provider=self.meter_provider,
         )
 
-        invocation = handler.start_inference(
+        invocation = handler.inference(
             "prov",
             request_model="model",
             server_address="custom.server.com",
@@ -121,7 +121,7 @@ def test_fail_llm_records_error_and_available_tokens(self) -> None:
         )
         # Patch default_timer during start to ensure monotonic_start_s
         with patch("timeit.default_timer", return_value=2000.0):
-            invocation = handler.start_inference("", request_model="err-model")
+            invocation = handler.inference("", request_model="err-model")
         invocation.input_tokens = 11
 
         error = Error(message="boom", type=ValueError)
@@ -193,7 +193,7 @@ def test_stop_embedding_records_duration_and_tokens(self) -> None:
         )
         # Patch default_timer during start to ensure monotonic_start_s
         with patch("timeit.default_timer", return_value=1000.0):
-            invocation = handler.start_embedding(
+            invocation = handler.embedding(
                 "embed-prov", request_model="embed-model"
             )
         invocation.input_tokens = 100
@@ -242,7 +242,7 @@ def test_stop_embedding_records_duration_with_additional_attributes(
             tracer_provider=self.tracer_provider,
             meter_provider=self.meter_provider,
         )
-        invocation = handler.start_embedding(
+        invocation = handler.embedding(
             "embed-prov",
             request_model="embed-model",
             server_address="embed.server.com",
@@ -279,7 +279,7 @@ def test_fail_embedding_records_error_and_duration(self) -> None:
             meter_provider=self.meter_provider,
         )
         with patch("timeit.default_timer", return_value=3000.0):
-            invocation = handler.start_embedding(
+            invocation = handler.embedding(
                 "embed-prov", request_model="embed-err-model"
             )
 
@@ -313,7 +313,7 @@ def test_stop_embedding_without_tokens(self) -> None:
             tracer_provider=self.tracer_provider,
             meter_provider=self.meter_provider,
         )
-        invocation = handler.start_embedding(
+        invocation = handler.embedding(
             "embed-prov", request_model="embed-model"
         )
         # input_tokens is not set
@@ -343,7 +343,7 @@ def test_stop_tool_records_duration(self) -> None:
             meter_provider=self.meter_provider,
         )
         with patch("timeit.default_timer", return_value=1000.0):
-            invocation = handler.start_tool("get_weather")
+            invocation = handler.tool("get_weather")
         invocation.metric_attributes = {"custom.key": "custom_value"}
 
         with patch("timeit.default_timer", return_value=1002.5):
@@ -371,7 +371,7 @@ def test_fail_tool_records_duration_with_error(self) -> None:
             meter_provider=self.meter_provider,
         )
         with patch("timeit.default_timer", return_value=500.0):
-            invocation = handler.start_tool("failing_tool")
+            invocation = handler.tool("failing_tool")
 
         error = Error(message="Tool execution failed", type=RuntimeError)
         with patch("timeit.default_timer", return_value=501.5):
diff --git a/util/opentelemetry-util-genai/tests/test_handler_workflow.py b/util/opentelemetry-util-genai/tests/test_handler_workflow.py
index f7fbb863a5..a304f5b820 100644
--- a/util/opentelemetry-util-genai/tests/test_handler_workflow.py
+++ b/util/opentelemetry-util-genai/tests/test_handler_workflow.py
@@ -52,12 +52,12 @@ class TelemetryHandlerWorkflowTest(_WorkflowTestBase):
     # ------------------------------------------------------------------
 
     def test_start_workflow_creates_span(self) -> None:
-        invocation = self.handler.start_workflow(name="my_workflow")
+        invocation = self.handler.workflow(name="my_workflow")
         self.assertIsNot(invocation.span, INVALID_SPAN)
         invocation.stop()
 
     def test_start_workflow_span_name(self) -> None:
-        invocation = self.handler.start_workflow(name="my_pipeline")
+        invocation = self.handler.workflow(name="my_pipeline")
         invocation.stop()
 
         spans = self._get_finished_spans()
@@ -65,7 +65,7 @@ def test_start_workflow_span_name(self) -> None:
         self.assertEqual(spans[0].name, "invoke_workflow my_pipeline")
 
     def test_start_workflow_span_name_without_name(self) -> None:
-        invocation = self.handler.start_workflow(name=None)
+        invocation = self.handler.workflow(name=None)
         invocation.stop()
 
         spans = self._get_finished_spans()
@@ -73,7 +73,7 @@ def test_start_workflow_span_name_without_name(self) -> None:
         self.assertEqual(spans[0].name, "invoke_workflow")
 
     def test_start_workflow_span_kind_is_internal(self) -> None:
-        invocation = self.handler.start_workflow(name="wf")
+        invocation = self.handler.workflow(name="wf")
         invocation.stop()
 
         spans = self._get_finished_spans()
@@ -82,7 +82,7 @@ def test_start_workflow_span_kind_is_internal(self) -> None:
 
     def test_start_workflow_records_monotonic_start(self) -> None:
         with patch("timeit.default_timer", return_value=500.0):
-            invocation = self.handler.start_workflow(name="wf")
+            invocation = self.handler.workflow(name="wf")
         self.assertEqual(invocation._monotonic_start_s, 500.0)
         invocation.stop()
 
@@ -91,14 +91,14 @@ def test_start_workflow_records_monotonic_start(self) -> None:
     # ------------------------------------------------------------------
 
     def test_stop_workflow_ends_span(self) -> None:
-        invocation = self.handler.start_workflow(name="wf")
+        invocation = self.handler.workflow(name="wf")
         invocation.stop()
 
         spans = self._get_finished_spans()
         self.assertEqual(len(spans), 1)
 
     def test_stop_workflow_sets_operation_name_attribute(self) -> None:
-        invocation = self.handler.start_workflow(name="wf")
+        invocation = self.handler.workflow(name="wf")
         invocation.stop()
 
         spans = self._get_finished_spans()
@@ -108,7 +108,7 @@ def test_stop_workflow_sets_operation_name_attribute(self) -> None:
         )
 
     def test_stop_workflow_sets_custom_attributes(self) -> None:
-        invocation = self.handler.start_workflow(name="wf")
+        invocation = self.handler.workflow(name="wf")
         invocation.attributes["custom.key"] = "custom_value"
         invocation.stop()
 
@@ -116,7 +116,7 @@ def test_stop_workflow_sets_custom_attributes(self) -> None:
         self.assertEqual(spans[0].attributes["custom.key"], "custom_value")
 
     def test_stop_workflow_returns_invocation(self) -> None:
-        invocation = self.handler.start_workflow(name="wf")
+        invocation = self.handler.workflow(name="wf")
         invocation.stop()
         spans = self._get_finished_spans()
         self.assertEqual(len(spans), 1)
@@ -126,7 +126,7 @@ def test_stop_workflow_returns_invocation(self) -> None:
     # ------------------------------------------------------------------
 
     def test_fail_workflow_sets_error_status(self) -> None:
-        invocation = self.handler.start_workflow(name="wf")
+        invocation = self.handler.workflow(name="wf")
         error = Error(message="something broke", type=RuntimeError)
         invocation.fail(error)
 
@@ -136,7 +136,7 @@ def test_fail_workflow_sets_error_status(self) -> None:
         self.assertEqual(spans[0].status.description, "something broke")
 
     def test_fail_workflow_sets_error_type_attribute(self) -> None:
-        invocation = self.handler.start_workflow(name="wf")
+        invocation = self.handler.workflow(name="wf")
         error = Error(message="bad", type=ValueError)
         invocation.fail(error)
 
@@ -144,7 +144,7 @@ def test_fail_workflow_sets_error_type_attribute(self) -> None:
         self.assertEqual(spans[0].attributes["error.type"], "ValueError")
 
     def test_fail_workflow_sets_operation_name_attribute(self) -> None:
-        invocation = self.handler.start_workflow(name="wf")
+        invocation = self.handler.workflow(name="wf")
         error = Error(message="fail", type=TypeError)
         invocation.fail(error)
 
@@ -155,7 +155,7 @@ def test_fail_workflow_sets_operation_name_attribute(self) -> None:
         )
 
     def test_fail_workflow_ends_span(self) -> None:
-        invocation = self.handler.start_workflow(name="wf")
+        invocation = self.handler.workflow(name="wf")
         invocation.fail(Error(message="err", type=RuntimeError))
         spans = self._get_finished_spans()
         self.assertEqual(len(spans), 1)
@@ -211,7 +211,7 @@ def get_description(self):
         )
         handler = TelemetryHandler(tracer_provider=sampler_provider)
 
-        invocation = handler.start_workflow(name="my-workflow")
+        invocation = handler.workflow(name="my-workflow")
         invocation.stop()
 
         self.assertEqual(
diff --git a/util/opentelemetry-util-genai/tests/test_toolcall.py b/util/opentelemetry-util-genai/tests/test_toolcall.py
index 54648f061a..0f65e4411d 100644
--- a/util/opentelemetry-util-genai/tests/test_toolcall.py
+++ b/util/opentelemetry-util-genai/tests/test_toolcall.py
@@ -40,7 +40,7 @@ def test_toolcallrequest_is_message_part():
 def test_toolcall_inherits_from_genaiinvocation():
     """ToolInvocation inherits from GenAIInvocation for lifecycle management"""
     handler = _make_handler()
-    tc = handler.start_tool("get_weather", arguments={"city": "Paris"})
+    tc = handler.tool("get_weather", arguments={"city": "Paris"})
     assert isinstance(tc, GenAIInvocation)
     assert not isinstance(tc, ToolCallRequest)
     tc.stop()
@@ -49,7 +49,7 @@ def test_toolcall_inherits_from_genaiinvocation():
 def test_toolcall_has_attributes_dict():
     """ToolInvocation inherits attributes dict from GenAIInvocation"""
     handler = _make_handler()
-    tc = handler.start_tool("test")
+    tc = handler.tool("test")
     tc.attributes["custom.key"] = "value"
     assert tc.attributes["custom.key"] == "value"
     tc.stop()
@@ -69,7 +69,7 @@ def test_toolcallrequest_in_message_part_union():
 def test_toolcall_operation_name():
     """ToolInvocation operation_name is fixed to execute_tool"""
     handler = _make_handler()
-    tc = handler.start_tool("my_tool")
+    tc = handler.tool("my_tool")
     assert tc._operation_name == "execute_tool"
     tc.stop()
 
@@ -160,7 +160,7 @@ def get_description(self):
     sampler_provider.add_span_processor(SimpleSpanProcessor(span_exporter))
     handler = TelemetryHandler(tracer_provider=sampler_provider)
 
-    invocation = handler.start_tool(
+    invocation = handler.tool(
         "get_weather",
         tool_call_id="call_123",
         tool_type="function",
diff --git a/util/opentelemetry-util-genai/tests/test_utils.py b/util/opentelemetry-util-genai/tests/test_utils.py
index 969dc96504..4059bc0cf3 100644
--- a/util/opentelemetry-util-genai/tests/test_utils.py
+++ b/util/opentelemetry-util-genai/tests/test_utils.py
@@ -320,7 +320,7 @@ def test_llm_manual_start_and_stop_creates_span(self):
         message = _create_input_message("hi")
         chat_generation = _create_output_message("ok")
 
-        invocation = self.telemetry_handler.start_inference(
+        invocation = self.telemetry_handler.inference(
             "test-provider", request_model="manual-model"
         )
         invocation.input_messages = [message]
@@ -380,7 +380,7 @@ def get_description(self):
 
         handler = TelemetryHandler(tracer_provider=sampler_provider)
 
-        invocation = handler.start_inference(
+        invocation = handler.inference(
             "test-provider",
             request_model="sampler-model",
             server_address="api.example.com",
@@ -437,13 +437,13 @@ def get_description(self):
         handler = TelemetryHandler(tracer_provider=sampler_provider)
 
         # This invocation should be dropped
-        invocation = handler.start_inference(
+        invocation = handler.inference(
             "test-provider", request_model="rejected-model"
         )
         invocation.stop()
 
         # This invocation should be recorded
-        invocation = handler.start_inference(
+        invocation = handler.inference(
             "test-provider", request_model="accepted-model"
         )
         invocation.stop()
@@ -478,7 +478,7 @@ def get_description(self):
         )
         handler = TelemetryHandler(tracer_provider=sampler_provider)
 
-        invocation = handler.start_embedding(
+        invocation = handler.embedding(
             "test-provider",
             request_model="embed-model",
             server_address="embed.example.com",
@@ -498,7 +498,7 @@ def get_description(self):
         assert captured_attributes[server_attributes.SERVER_PORT] == 443
 
     def test_llm_span_finish_reasons_without_output_messages(self):
-        invocation = self.telemetry_handler.start_inference(
+        invocation = self.telemetry_handler.inference(
             "test-provider", request_model="model-without-output"
         )
         invocation.finish_reasons = ["length"]
@@ -527,7 +527,7 @@ def test_llm_span_finish_reasons_without_output_messages(self):
         )
 
     def test_llm_span_finish_reasons_from_invocation(self):
-        invocation = self.telemetry_handler.start_inference(
+        invocation = self.telemetry_handler.inference(
             "test-provider", request_model="model-reasons"
         )
         invocation.finish_reasons = ["stop", "length", "stop"]
@@ -542,7 +542,7 @@ def test_llm_span_finish_reasons_from_invocation(self):
         )
 
     def test_llm_span_finish_reasons_from_output_messages(self):
-        invocation = self.telemetry_handler.start_inference(
+        invocation = self.telemetry_handler.inference(
             "test-provider", request_model="model-output-reasons"
         )
         assert invocation.span is not None
@@ -561,7 +561,7 @@ def test_llm_span_finish_reasons_from_output_messages(self):
         )
 
     def test_llm_span_uses_expected_schema_url(self):
-        invocation = self.telemetry_handler.start_inference(
+        invocation = self.telemetry_handler.inference(
             "schema-provider", request_model="schema-model"
         )
         assert invocation.span is not None
@@ -584,7 +584,7 @@ def test_llm_span_uses_expected_schema_url(self):
         emit_event="true",
     )
     def test_llm_log_uses_expected_schema_url(self):
-        invocation = self.telemetry_handler.start_inference(
+        invocation = self.telemetry_handler.inference(
             "schema-provider", request_model="schema-model"
         )
         invocation.output_messages = [_create_output_message()]
@@ -639,12 +639,12 @@ def test_parent_child_span_relationship(self):
         emit_event="",
     )
     def test_embedding_parent_child_span_relationship(self):
-        parent_invocation = self.telemetry_handler.start_embedding(
+        parent_invocation = self.telemetry_handler.embedding(
             "test-provider", request_model="embed-parent-model"
         )
         parent_invocation.input_tokens = 10
         assert parent_invocation.span is not None
-        child_invocation = self.telemetry_handler.start_embedding(
+        child_invocation = self.telemetry_handler.embedding(
             "test-provider", request_model="embed-child-model"
         )
         child_invocation.input_tokens = 5
@@ -679,7 +679,7 @@ def test_llm_parent_embedding_child_span_relationship(self):
             "test-provider", request_model="parent-model"
         ) as parent_invocation:
             parent_invocation.input_messages = [message]
-            child_invocation = self.telemetry_handler.start_embedding(
+            child_invocation = self.telemetry_handler.embedding(
                 "test-provider", request_model="embed-child-model"
             )
             child_invocation.input_tokens = 3
@@ -790,7 +790,7 @@ class BoomError(RuntimeError):
         emit_event="",
     )
     def test_embedding_manual_start_and_stop_creates_span(self):
-        invocation = self.telemetry_handler.start_embedding(
+        invocation = self.telemetry_handler.embedding(
             "test-provider",
             request_model="embed-model",
             server_address="custom.server.com",
@@ -831,7 +831,7 @@ def test_fail_with_exception_sets_error_status_and_type(self):
         class BoomError(RuntimeError):
             pass
 
-        invocation = self.telemetry_handler.start_inference(
+        invocation = self.telemetry_handler.inference(
             "test-provider", request_model="test-model"
         )
         invocation.fail(BoomError("boom"))
diff --git a/util/opentelemetry-util-genai/tests/test_utils_events.py b/util/opentelemetry-util-genai/tests/test_utils_events.py
index bbdd342a0d..6c5686d08b 100644
--- a/util/opentelemetry-util-genai/tests/test_utils_events.py
+++ b/util/opentelemetry-util-genai/tests/test_utils_events.py
@@ -61,7 +61,7 @@ def tearDown(self):
         emit_event="true",
     )
     def test_emits_llm_event(self):
-        invocation = self.telemetry_handler.start_inference(
+        invocation = self.telemetry_handler.inference(
             "test-provider", request_model="event-model"
         )
         invocation.input_messages = [_create_input_message("test query")]
@@ -143,7 +143,7 @@ def test_emits_llm_event_and_span(self):
         chat_generation = _create_output_message("combined response")
         system_instruction = _create_system_instruction("System prompt here")
 
-        invocation = self.telemetry_handler.start_inference(
+        invocation = self.telemetry_handler.inference(
             "test-provider", request_model="combined-model"
         )
         invocation.input_messages = [message]
@@ -200,7 +200,7 @@ class TestError(RuntimeError):
             pass
 
         message = _create_input_message("error test")
-        invocation = self.telemetry_handler.start_inference(
+        invocation = self.telemetry_handler.inference(
             "test-provider", request_model="error-model"
         )
         invocation.input_messages = [message]
@@ -236,7 +236,7 @@ def test_does_not_emit_llm_event_when_emit_event_false(self):
         message = _create_input_message("emit false test")
         chat_generation = _create_output_message("emit false response")
 
-        invocation = self.telemetry_handler.start_inference(
+        invocation = self.telemetry_handler.inference(
             "test-provider", request_model="emit-false-model"
         )
         invocation.input_messages = [message]
@@ -254,7 +254,7 @@ def test_does_not_emit_llm_event_when_emit_event_false(self):
     )
     def test_does_not_emit_llm_event_by_default_for_no_content(self):
         """Test that event is not emitted by default when content_capturing is NO_CONTENT and OTEL_INSTRUMENTATION_GENAI_EMIT_EVENT is not set."""
-        invocation = self.telemetry_handler.start_inference(
+        invocation = self.telemetry_handler.inference(
             "test-provider", request_model="default-model"
         )
         invocation.input_messages = [_create_input_message("default test")]
@@ -274,7 +274,7 @@ def test_does_not_emit_llm_event_by_default_for_no_content(self):
     )
     def test_does_not_emit_llm_event_by_default_for_span_only(self):
         """Test that event is not emitted by default when content_capturing is SPAN_ONLY and OTEL_INSTRUMENTATION_GENAI_EMIT_EVENT is not set."""
-        invocation = self.telemetry_handler.start_inference(
+        invocation = self.telemetry_handler.inference(
             "test-provider", request_model="default-model"
         )
         invocation.input_messages = [_create_input_message("default test")]
@@ -294,7 +294,7 @@ def test_does_not_emit_llm_event_by_default_for_span_only(self):
     )
     def test_emits_llm_event_by_default_for_event_only(self):
         """Test that event is emitted by default when content_capturing is EVENT_ONLY and OTEL_INSTRUMENTATION_GENAI_EMIT_EVENT is not set."""
-        invocation = self.telemetry_handler.start_inference(
+        invocation = self.telemetry_handler.inference(
             "test-provider", request_model="default-model"
         )
         invocation.input_messages = [_create_input_message("default test")]
@@ -322,7 +322,7 @@ def test_emits_llm_event_by_default_for_span_and_event(self):
         chat_generation = _create_output_message("span and event response")
         system_instruction = _create_system_instruction("System prompt")
 
-        invocation = self.telemetry_handler.start_inference(
+        invocation = self.telemetry_handler.inference(
             "test-provider", request_model="span-and-event-model"
         )
         invocation.input_messages = [message]
diff --git a/util/opentelemetry-util-genai/tests/test_workflow_invocation.py b/util/opentelemetry-util-genai/tests/test_workflow_invocation.py
index e6959ed561..b8c86b299d 100644
--- a/util/opentelemetry-util-genai/tests/test_workflow_invocation.py
+++ b/util/opentelemetry-util-genai/tests/test_workflow_invocation.py
@@ -27,7 +27,7 @@ def setUp(self):
         self.handler = TelemetryHandler(tracer_provider=tracer_provider)
 
     def test_default_values(self):
-        invocation = self.handler.start_workflow(name=None)
+        invocation = self.handler.workflow(name=None)
         invocation.stop()
         assert invocation.name is None
         assert invocation._operation_name == "invoke_workflow"
@@ -37,7 +37,7 @@ def test_default_values(self):
         assert not invocation.attributes
 
     def test_custom_name(self):
-        invocation = self.handler.start_workflow(
+        invocation = self.handler.workflow(
             name="customer_support_pipeline"
         )
         invocation.stop()
@@ -45,7 +45,7 @@ def test_custom_name(self):
 
     def test_with_input_messages(self):
         msg = InputMessage(role="user", parts=[Text(content="hello")])
-        invocation = self.handler.start_workflow(name="test")
+        invocation = self.handler.workflow(name="test")
         invocation.input_messages = [msg]
         invocation.stop()
         assert len(invocation.input_messages) == 1
@@ -55,14 +55,14 @@ def test_with_output_messages(self):
         msg = OutputMessage(
             role="assistant", parts=[Text(content="hi")], finish_reason="stop"
         )
-        invocation = self.handler.start_workflow(name="test")
+        invocation = self.handler.workflow(name="test")
         invocation.output_messages = [msg]
         invocation.stop()
         assert len(invocation.output_messages) == 1
         assert invocation.output_messages[0].finish_reason == "stop"
 
     def test_inherits_genai_invocation(self):
-        invocation = self.handler.start_workflow(name="test")
+        invocation = self.handler.workflow(name="test")
         invocation.attributes["key"] = "value"
         invocation.stop()
         spans = self.span_exporter.get_finished_spans()
@@ -71,16 +71,16 @@ def test_inherits_genai_invocation(self):
 
     def test_default_lists_are_independent(self):
         """Ensure separate invocations get separate list instances."""
-        inv1 = self.handler.start_workflow(name=None)
-        inv2 = self.handler.start_workflow(name=None)
+        inv1 = self.handler.workflow(name=None)
+        inv2 = self.handler.workflow(name=None)
         inv1.input_messages.append(InputMessage(role="user", parts=[]))
         assert len(inv2.input_messages) == 0
         inv1.stop()
         inv2.stop()
 
     def test_default_attributes_are_independent(self):
-        inv1 = self.handler.start_workflow(name=None)
-        inv2 = self.handler.start_workflow(name=None)
+        inv1 = self.handler.workflow(name=None)
+        inv2 = self.handler.workflow(name=None)
         inv1.attributes["foo"] = "bar"
         assert "foo" not in inv2.attributes
         inv1.stop()
@@ -93,7 +93,7 @@ def test_full_construction(self):
             parts=[Text(content="answer")],
             finish_reason="stop",
         )
-        invocation = self.handler.start_workflow(name="my_workflow")
+        invocation = self.handler.workflow(name="my_workflow")
         invocation.input_messages = [inp]
         invocation.output_messages = [out]
         invocation.stop()

From 2265d62fb6a4f5298e74fa68bbb55b50d8a92b49 Mon Sep 17 00:00:00 2001
From: Dylan Russell <dylanrus@gmail.com>
Date: Tue, 12 May 2026 18:59:12 +0000
Subject: [PATCH 5/6] Revert changes to lock file

---
 uv.lock | 6184 +++++++++++++++++++++++++++----------------------------
 1 file changed, 3089 insertions(+), 3095 deletions(-)

diff --git a/uv.lock b/uv.lock
index 9d5610511b..14d5ea35b6 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,5 +1,5 @@
 version = 1
-revision = 2
+revision = 3
 requires-python = ">=3.10"
 resolution-markers = [
     "python_full_version >= '3.14'",
@@ -84,21 +84,21 @@ members = [
 [[package]]
 name = "aio-pika"
 version = "9.5.8"
-source = { registry = "https://us-python.pkg.dev/artifact-foundry-prod/ah-3p-staging-python/simple/" }
+source = { registry = "https://pypi.org/simple/" }
 dependencies = [
     { name = "aiormq" },
     { name = "exceptiongroup", marker = "python_full_version < '3.11'" },
     { name = "yarl" },
 ]
-sdist = { url = "https://us-python.pkg.dev/artifact-foundry-prod/ah-3p-staging-python/aio-pika/aio_pika-9.5.8.tar.gz", hash = "sha256:7c36874115f522bbe7486c46d8dd711a4dbedd67c4e8a8c47efe593d01862c62" }
+sdist = { url = "https://files.pythonhosted.org/packages/c5/73/8d1020683970de5532b3b01732d75c8bf922a6505fcdad1a9c7c6405242a/aio_pika-9.5.8.tar.gz", hash = "sha256:7c36874115f522bbe7486c46d8dd711a4dbedd67c4e8a8c47efe593d01862c62", size = 47408, upload-time = "2025-11-12T10:37:10.215Z" }
 wheels = [
-    { url = "https://us-python.pkg.dev/artifact-foundry-prod/ah-3p-staging-python/aio-pika/aio_pika-9.5.8-py3-none-any.whl", hash = "sha256:f4c6cb8a6c5176d00f39fd7431e9702e638449bc6e86d1769ad7548b2a506a8d" },
+    { url = "https://files.pythonhosted.org/packages/7c/91/513971861d845d28160ecb205ae2cfaf618b16918a9cd4e0b832b5360ce7/aio_pika-9.5.8-py3-none-any.whl", hash = "sha256:f4c6cb8a6c5176d00f39fd7431e9702e638449bc6e86d1769ad7548b2a506a8d", size = 54397, upload-time = "2025-11-12T10:37:08.374Z" },
 ]
 
 [[package]]
 name = "aiobotocore"
 version = "2.26.0"
-source = { registry = "https://us-python.pkg.dev/artifact-foundry-prod/ah-3p-staging-python/simple/" }
+source = { registry = "https://pypi.org/simple/" }
 dependencies = [
     { name = "aiohttp" },
     { name = "aioitertools" },
@@ -108,24 +108,24 @@ dependencies = [
     { name = "python-dateutil" },
     { name = "wrapt" },
 ]
-sdist = { url = "https://us-python.pkg.dev/artifact-foundry-prod/ah-3p-staging-python/aiobotocore/aiobotocore-2.26.0.tar.gz", hash = "sha256:50567feaf8dfe2b653570b4491f5bc8c6e7fb9622479d66442462c021db4fadc" }
+sdist = { url = "https://files.pythonhosted.org/packages/4d/f8/99fa90d9c25b78292899fd4946fce97b6353838b5ecc139ad8ba1436e70c/aiobotocore-2.26.0.tar.gz", hash = "sha256:50567feaf8dfe2b653570b4491f5bc8c6e7fb9622479d66442462c021db4fadc", size = 122026, upload-time = "2025-11-28T07:54:59.956Z" }
 wheels = [
-    { url = "https://us-python.pkg.dev/artifact-foundry-prod/ah-3p-staging-python/aiobotocore/aiobotocore-2.26.0-py3-none-any.whl", hash = "sha256:a793db51c07930513b74ea7a95bd79aaa42f545bdb0f011779646eafa216abec" },
+    { url = "https://files.pythonhosted.org/packages/b7/58/3bf0b7d474607dc7fd67dd1365c4e0f392c8177eaf4054e5ddee3ebd53b5/aiobotocore-2.26.0-py3-none-any.whl", hash = "sha256:a793db51c07930513b74ea7a95bd79aaa42f545bdb0f011779646eafa216abec", size = 87333, upload-time = "2025-11-28T07:54:58.457Z" },
 ]
 
 [[package]]
 name = "aiohappyeyeballs"
 version = "2.6.1"
-source = { registry = "https://us-python.pkg.dev/artifact-foundry-prod/ah-3p-staging-python/simple/" }
-sdist = { url = "https://us-python.pkg.dev/artifact-foundry-prod/ah-3p-staging-python/aiohappyeyeballs/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558" }
+source = { registry = "https://pypi.org/simple/" }
+sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = "2025-03-12T01:42:48.764Z" }
 wheels = [
-    { url = "https://us-python.pkg.dev/artifact-foundry-prod/ah-3p-staging-python/aiohappyeyeballs/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8" },
+    { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265, upload-time = "2025-03-12T01:42:47.083Z" },
 ]
 
 [[package]]
 name = "aiohttp"
 version = "3.13.3"
-source = { registry = "https://us-python.pkg.dev/artifact-foundry-prod/ah-3p-staging-python/simple/" }
+source = { registry = "https://pypi.org/simple/" }
 dependencies = [
     { name = "aiohappyeyeballs" },
     { name = "aiosignal" },
@@ -136,246 +136,246 @@ dependencies = [
     { name = "propcache" },
     { name = "yarl" },
 ]
-sdist = { url = "https://us-python.pkg.dev/artifact-foundry-prod/ah-3p-staging-python/aiohttp/aiohttp-3.13.3.tar.gz", hash = "sha256:a949eee43d3782f2daae4f4a2819b2cb9b0c5d3b7f7a927067cc84dafdbb9f88" }
-wheels = [
-    { url = "https://us-python.pkg.dev/artifact-foundry-prod/ah-3p-staging-python/aiohttp/aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7" },
-    { url = "https://us-python.pkg.dev/artifact-foundry-prod/ah-3p-staging-python/aiohttp/aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821" },
-    { url = "https://us-python.pkg.dev/artifact-foundry-prod/ah-3p-staging-python/aiohttp/aiohttp-3.13.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:859bd3f2156e81dd01432f5849fc73e2243d4a487c4fd26609b1299534ee1845" },
-    { url = "https://us-python.pkg.dev/artifact-foundry-prod/ah-3p-staging-python/aiohttp/aiohttp-3.13.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:dca68018bf48c251ba17c72ed479f4dafe9dbd5a73707ad8d28a38d11f3d42af" },
-    { url = "https://us-python.pkg.dev/artifact-foundry-prod/ah-3p-staging-python/aiohttp/aiohttp-3.13.3-cp310-cp310-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:fee0c6bc7db1de362252affec009707a17478a00ec69f797d23ca256e36d5940" },
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From 75a4f9dd77119d3bea48ed7a4cb3224757ee2765 Mon Sep 17 00:00:00 2001
From: Dylan Russell <dylanrus@gmail.com>
Date: Tue, 12 May 2026 19:01:17 +0000
Subject: [PATCH 6/6] Revert uv lock file changes

---
 uv.lock | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/uv.lock b/uv.lock
index 14d5ea35b6..e015600132 100644
--- a/uv.lock
+++ b/uv.lock
@@ -5544,7 +5544,7 @@ wheels = [
 
 [[package]]
 name = "requests"
-version = "2.32.5"
+version = "2.33.1"
 source = { registry = "https://pypi.org/simple/" }
 dependencies = [
     { name = "certifi" },
@@ -5552,9 +5552,9 @@ dependencies = [
     { name = "idna" },
     { name = "urllib3" },
 ]
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 [[package]]