Repository: traceloop/openllmetry

Issue:
🐛 Bug Report: OPENAI Instrumentation won't record token usage metrics on auto-instrumentation or without tiktoken
### Which component is this bug for?

OpenAI Instrumentation

### 📜 Description

In the pr https://github.com/traceloop/openllmetry/pull/661, tiktoken is used to calculate the tokens for prompts and completions. However the `enrich_token_usage` config is `False` by default which means it will be `False` on auto-instrumentation, which means the token usages metrics won't be recorded even the token usage info has been included in response. 

Moreover, tiktoken isn't compatible for all models (e.g., our custom models), so the token usages metrics won't be record when using incompatible models.  

Given these issues, would it be better to token usage info provided in the response to record usage metrics if the response contains usage information?

### 👟 Reproduction steps

1. Create a streaming openai chat. The response contains usage information.
```
data: {
	"id": "0217465378907901e149xxxx",
	"choices": [],
	"created": 1746537891,
	"model": "custom_model",
	"object": "chat.completion.chunk",
	"service_tier": null,
	"system_fingerprint": null,
	"usage": {
		"completion_tokens": 42,
		"prompt_tokens": 14,
		"total_tokens": 56,
		"completion_tokens_details": {
			"accepted_prediction_tokens": null,
			"audio_tokens": null,
			"reasoning_tokens": 0,
			"rejected_prediction_tokens": null
		},
		"prompt_tokens_details": {
			"audio_tokens": null,
			"cached_tokens": 0
		}
	}
}
``` 

2. Check the token usage metrics

### 👍 Expected behavior

It can record token usages token metrics if the response include token usages info. 

### 👎 Actual Behavior with Screenshots

It won't record token usage metrics by default. 

### 🤖 Python Version

_No response_

### 📃 Provide any additional context for the Bug.

_No response_

### 👀 Have you spent some time to check if this bug has been raised before?

- [x] I checked and didn't find similar issue

### Are you willing to submit PR?

Yes I am willing to submit a PR!


Discussion:
Hey @feng-95 - interesting, are you talking about streaming or non-streaming?
Cause for non-streaming we're taking the values from the response here: https://github.com/traceloop/openllmetry/blob/116d86bd26790996e45d624c3bdc5d9bb08e0a59/packages/opentelemetry-instrumentation-anthropic/opentelemetry/instrumentation/anthropic/__init__.py#L376

Tiktoken is only used for streaming (where OpenAI doesn't return token usage data).
Hi @nirga , sorry that I didn't describe it clearly. I am talking about streaming mode. In streaming mode, the OpenAI server can also return token usage data if the client set the `include_usage` config in `stean_options` params to True. Such as
```
llm = openai.Client()
result =  llm.chat.completions.create(
            model="gpt-4o",
            messages=[{"role": "user", "content": prompt}],
            stream=True,
            stream_options={
            "include_usage": True,
        },
    )
```
Then the token usage data will be returned in the final return of the streaming. 
```
{
	"id": "0217465378907901e149xxxx",
	"choices": [],
	"created": 1746537891,
	"model": "custom_model",
	"object": "chat.completion.chunk",
	"service_tier": null,
	"system_fingerprint": null,
	"usage": {
		"completion_tokens": 42,
		"prompt_tokens": 14,
		"total_tokens": 56,
		"completion_tokens_details": {
			"accepted_prediction_tokens": null,
			"audio_tokens": null,
			"reasoning_tokens": 0,
			"rejected_prediction_tokens": null
		},
		"prompt_tokens_details": {
			"audio_tokens": null,
			"cached_tokens": 0
		}
	}
}
```
In this case, would it be better to use the returned usage token data instead of calculated by tiktoken? 





Patch:
diff --git a/packages/opentelemetry-instrumentation-groq/opentelemetry/instrumentation/groq/__init__.py b/packages/opentelemetry-instrumentation-groq/opentelemetry/instrumentation/groq/__init__.py
index 810e9ebd27..310d506b08 100644
--- a/packages/opentelemetry-instrumentation-groq/opentelemetry/instrumentation/groq/__init__.py
+++ b/packages/opentelemetry-instrumentation-groq/opentelemetry/instrumentation/groq/__init__.py
@@ -385,14 +385,12 @@ class GroqInstrumentor(BaseInstrumentor):
 
     def __init__(
         self,
-        enrich_token_usage: bool = False,
         exception_logger=None,
         use_legacy_attributes: bool = True,
         get_common_metrics_attributes: Callable[[], dict] = lambda: {},
     ):
         super().__init__()
         Config.exception_logger = exception_logger
-        Config.enrich_token_usage = enrich_token_usage
         Config.get_common_metrics_attributes = get_common_metrics_attributes
         Config.use_legacy_attributes = use_legacy_attributes
 
diff --git a/packages/opentelemetry-instrumentation-groq/opentelemetry/instrumentation/groq/config.py b/packages/opentelemetry-instrumentation-groq/opentelemetry/instrumentation/groq/config.py
index 4878077021..f78d2f0d60 100644
--- a/packages/opentelemetry-instrumentation-groq/opentelemetry/instrumentation/groq/config.py
+++ b/packages/opentelemetry-instrumentation-groq/opentelemetry/instrumentation/groq/config.py
@@ -2,7 +2,6 @@
 
 
 class Config:
-    enrich_token_usage = False
     exception_logger = None
     get_common_metrics_attributes: Callable[[], dict] = lambda: {}
     use_legacy_attributes = True
diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/__init__.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/__init__.py
index 3af9083756..31919e65b3 100644
--- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/__init__.py
+++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/__init__.py
@@ -14,7 +14,6 @@ class OpenAIInstrumentor(BaseInstrumentor):
     def __init__(
         self,
         enrich_assistant: bool = False,
-        enrich_token_usage: bool = False,
         exception_logger=None,
         get_common_metrics_attributes: Callable[[], dict] = lambda: {},
         upload_base64_image: Optional[
@@ -25,7 +24,6 @@ def __init__(
     ):
         super().__init__()
         Config.enrich_assistant = enrich_assistant
-        Config.enrich_token_usage = enrich_token_usage
         Config.exception_logger = exception_logger
         Config.get_common_metrics_attributes = get_common_metrics_attributes
         Config.upload_base64_image = upload_base64_image
diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py
index 1d88ada50e..904b0b38d2 100644
--- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py
+++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/__init__.py
@@ -7,7 +7,6 @@
 from opentelemetry.instrumentation.openai.utils import (
     dont_throw,
     is_openai_v1,
-    should_record_stream_token_usage,
 )
 from opentelemetry.semconv._incubating.attributes.gen_ai_attributes import (
     GEN_AI_RESPONSE_ID,
@@ -24,8 +23,6 @@
 
 _PYDANTIC_VERSION = version("pydantic")
 
-# tiktoken encodings map for different model, key is model_name, value is tiktoken encoding
-tiktoken_encodings = {}
 
 logger = logging.getLogger(__name__)
 
@@ -355,36 +352,6 @@ def model_as_dict(model):
         return model
 
 
-def get_token_count_from_string(string: str, model_name: str):
-    if not should_record_stream_token_usage():
-        return None
-
-    import tiktoken
-
-    if tiktoken_encodings.get(model_name) is None:
-        try:
-            encoding = tiktoken.encoding_for_model(model_name)
-        except KeyError as ex:
-            # no such model_name in tiktoken
-            logger.warning(
-                f"Failed to get tiktoken encoding for model_name {model_name}, error: {str(ex)}"
-            )
-            return None
-        except Exception as ex:
-            # Other exceptions in tiktok
-            logger.warning(
-                f"Failed to get tiktoken encoding for model_name {model_name}, error: {str(ex)}"
-            )
-            return None
-
-        tiktoken_encodings[model_name] = encoding
-    else:
-        encoding = tiktoken_encodings.get(model_name)
-
-    token_count = len(encoding.encode(string))
-    return token_count
-
-
 def _token_type(token_type: str):
     if token_type == "prompt_tokens":
         return "input"
diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/chat_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/chat_wrappers.py
index 4687832763..9ec3d2c4b8 100644
--- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/chat_wrappers.py
+++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/chat_wrappers.py
@@ -17,13 +17,11 @@
     _set_span_attribute,
     _set_span_stream_usage,
     _token_type,
-    get_token_count_from_string,
     is_streaming_response,
     metric_shared_attributes,
     model_as_dict,
     propagate_trace_context,
     set_tools_attributes,
-    should_record_stream_token_usage,
 )
 from opentelemetry.instrumentation.openai.shared.config import Config
 from opentelemetry.instrumentation.openai.shared.event_emitter import emit_event
@@ -529,13 +527,10 @@ def _set_completions(span, choices):
 def _set_streaming_token_metrics(
     request_kwargs, complete_response, span, token_counter, shared_attributes
 ):
-    if not should_record_stream_token_usage():
-        return
-
     prompt_usage = -1
     completion_usage = -1
 
-    # First, try to get usage from API response
+    # Use token usage from API response only
     if complete_response.get("usage"):
         usage = complete_response["usage"]
         if usage.get("prompt_tokens"):
@@ -543,34 +538,6 @@ def _set_streaming_token_metrics(
         if usage.get("completion_tokens"):
             completion_usage = usage["completion_tokens"]
 
-    # If API response doesn't have usage, fallback to tiktoken calculation
-    if prompt_usage == -1 or completion_usage == -1:
-        model_name = (
-            complete_response.get("model") or request_kwargs.get(
-                "model") or "gpt-4"
-        )
-
-        # Calculate prompt tokens if not available from API
-        if prompt_usage == -1 and request_kwargs and request_kwargs.get("messages"):
-            prompt_content = ""
-            for msg in request_kwargs.get("messages"):
-                if msg.get("content"):
-                    prompt_content += msg.get("content")
-            if model_name and should_record_stream_token_usage():
-                prompt_usage = get_token_count_from_string(
-                    prompt_content, model_name)
-
-        # Calculate completion tokens if not available from API
-        if completion_usage == -1 and complete_response.get("choices"):
-            completion_content = ""
-            for choice in complete_response.get("choices"):
-                if choice.get("message") and choice.get("message").get("content"):
-                    completion_content += choice["message"]["content"]
-            if model_name and should_record_stream_token_usage():
-                completion_usage = get_token_count_from_string(
-                    completion_content, model_name
-                )
-
     # span record
     _set_span_stream_usage(span, prompt_usage, completion_usage)
 
diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py
index d821fecb94..8d13add8b5 100644
--- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py
+++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/completion_wrappers.py
@@ -8,11 +8,9 @@
     _set_response_attributes,
     _set_span_attribute,
     _set_span_stream_usage,
-    get_token_count_from_string,
     is_streaming_response,
     model_as_dict,
     propagate_trace_context,
-    should_record_stream_token_usage,
 )
 from opentelemetry.instrumentation.openai.shared.config import Config
 from opentelemetry.semconv.attributes.error_attributes import ERROR_TYPE
@@ -231,35 +229,19 @@ def _emit_streaming_response_events(complete_response):
 
 @dont_throw
 def _set_token_usage(span, request_kwargs, complete_response):
-    # use tiktoken calculate token usage
-    if should_record_stream_token_usage():
-        prompt_usage = -1
-        completion_usage = -1
+    prompt_usage = -1
+    completion_usage = -1
 
-        # prompt_usage
-        if request_kwargs and request_kwargs.get("prompt"):
-            prompt_content = request_kwargs.get("prompt")
-            model_name = complete_response.get("model") or None
+    # Use token usage from API response only
+    if complete_response.get("usage"):
+        usage = complete_response["usage"]
+        if usage.get("prompt_tokens"):
+            prompt_usage = usage["prompt_tokens"]
+        if usage.get("completion_tokens"):
+            completion_usage = usage["completion_tokens"]
 
-            if model_name:
-                prompt_usage = get_token_count_from_string(prompt_content, model_name)
-
-        # completion_usage
-        if complete_response.get("choices"):
-            completion_content = ""
-            model_name = complete_response.get("model") or None
-
-            for choice in complete_response.get("choices"):
-                if choice.get("text"):
-                    completion_content += choice.get("text")
-
-            if model_name:
-                completion_usage = get_token_count_from_string(
-                    completion_content, model_name
-                )
-
-        # span record
-        _set_span_stream_usage(span, prompt_usage, completion_usage)
+    # span record
+    _set_span_stream_usage(span, prompt_usage, completion_usage)
 
 
 @dont_throw
@@ -269,6 +251,11 @@ def _accumulate_streaming_response(complete_response, item):
 
     complete_response["model"] = item.get("model")
     complete_response["id"] = item.get("id")
+
+    # capture usage information from the stream chunks
+    if item.get("usage"):
+        complete_response["usage"] = item.get("usage")
+
     for choice in item.get("choices"):
         index = choice.get("index")
         if len(complete_response.get("choices")) <= index:
diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/config.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/config.py
index 9a336195d8..65cd450d78 100644
--- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/config.py
+++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/config.py
@@ -4,7 +4,6 @@
 
 
 class Config:
-    enrich_token_usage = False
     enrich_assistant = False
     exception_logger = None
     get_common_metrics_attributes: Callable[[], dict] = lambda: {}
diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/utils.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/utils.py
index 08e0abc509..ed3029f005 100644
--- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/utils.py
+++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/utils.py
@@ -31,10 +31,6 @@ def is_metrics_enabled() -> bool:
     return (os.getenv("TRACELOOP_METRICS_ENABLED") or "true").lower() == "true"
 
 
-def should_record_stream_token_usage():
-    return Config.enrich_token_usage
-
-
 def _with_image_gen_metric_wrapper(func):
     def _with_metric(duration_histogram, exception_counter):
         def wrapper(wrapped, instance, args, kwargs):
diff --git a/packages/opentelemetry-instrumentation-openai/poetry.lock b/packages/opentelemetry-instrumentation-openai/poetry.lock
index 8c33b1110b..9591ac6b86 100644
--- a/packages/opentelemetry-instrumentation-openai/poetry.lock
+++ b/packages/opentelemetry-instrumentation-openai/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.0.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
 
 [[package]]
 name = "annotated-types"
@@ -7,7 +7,6 @@ description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
@@ -20,7 +19,6 @@ description = "High level compatibility layer for multiple asynchronous event lo
 optional = false
 python-versions = ">=3.9"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a"},
     {file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"},
@@ -34,7 +32,7 @@ typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\""]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -44,7 +42,6 @@ description = "A tool that automatically formats Python code to conform to the P
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "autopep8-2.2.0-py2.py3-none-any.whl", hash = "sha256:05418a981f038969d8bdcd5636bf15948db7555ae944b9f79b5a34b35f1370d4"},
     {file = "autopep8-2.2.0.tar.gz", hash = "sha256:d306a0581163ac29908280ad557773a95a9bede072c0fafed6f141f5311f43c1"},
@@ -60,8 +57,7 @@ version = "2024.8.30"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
-groups = ["main", "test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
+groups = ["test"]
 files = [
     {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
     {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
@@ -69,103 +65,104 @@ files = [
 
 [[package]]
 name = "charset-normalizer"
-version = "3.3.2"
+version = "3.4.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
-python-versions = ">=3.7.0"
-groups = ["main"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
+python-versions = ">=3.7"
+groups = ["test"]
 files = [
-    {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
-    {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"},
-    {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027"},
-    {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03"},
-    {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d"},
-    {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e"},
-    {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6"},
-    {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5"},
-    {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537"},
-    {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c"},
-    {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12"},
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 ]
 
 [[package]]
@@ -175,7 +172,7 @@ description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 groups = ["test"]
-markers = "(sys_platform == \"win32\" or platform_system == \"Windows\") and (python_version >= \"3.12\" or python_version <= \"3.11\")"
+markers = "sys_platform == \"win32\" or platform_system == \"Windows\""
 files = [
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@@ -188,7 +185,6 @@ description = "Python @deprecated decorator to deprecate old python classes, fun
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 groups = ["main", "test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
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     {file = "Deprecated-1.2.14.tar.gz", hash = "sha256:e5323eb936458dccc2582dc6f9c322c852a775a27065ff2b0c4970b9d53d01b3"},
@@ -207,7 +203,6 @@ description = "Distro - an OS platform information API"
 optional = false
 python-versions = ">=3.6"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
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@@ -236,7 +231,6 @@ description = "the modular source code checker: pep8 pyflakes and co"
 optional = false
 python-versions = ">=3.8.1"
 groups = ["dev"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "flake8-7.0.0-py2.py3-none-any.whl", hash = "sha256:a6dfbb75e03252917f2473ea9653f7cd799c3064e54d4c8140044c5c065f53c3"},
     {file = "flake8-7.0.0.tar.gz", hash = "sha256:33f96621059e65eec474169085dc92bf26e7b2d47366b70be2f67ab80dc25132"},
@@ -254,7 +248,6 @@ description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"},
     {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"},
@@ -267,7 +260,6 @@ description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"},
     {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"},
@@ -290,7 +282,6 @@ description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"},
     {file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
@@ -304,7 +295,7 @@ idna = "*"
 sniffio = "*"
 
 [package.extras]
-brotli = ["brotli", "brotlicffi"]
+brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
@@ -316,8 +307,7 @@ version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
-groups = ["main", "test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
+groups = ["test"]
 files = [
     {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
     {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
@@ -333,7 +323,6 @@ description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "importlib_metadata-8.4.0-py3-none-any.whl", hash = "sha256:66f342cc6ac9818fc6ff340576acd24d65ba0b3efabb2b4ac08b598965a4a2f1"},
     {file = "importlib_metadata-8.4.0.tar.gz", hash = "sha256:9a547d3bc3608b025f93d403fdd1aae741c24fbb8314df4b155675742ce303c5"},
@@ -345,7 +334,7 @@ zipp = ">=0.5"
 [package.extras]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
+test = ["flufl.flake8", "importlib-resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 
 [[package]]
 name = "iniconfig"
@@ -354,7 +343,6 @@ description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.7"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
@@ -367,7 +355,6 @@ description = "Fast iterable JSON parser."
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "jiter-0.6.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:d08510593cb57296851080018006dfc394070178d238b767b1879dc1013b106c"},
     {file = "jiter-0.6.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:adef59d5e2394ebbad13b7ed5e0306cceb1df92e2de688824232a91588e77aa7"},
@@ -451,7 +438,6 @@ description = "McCabe checker, plugin for flake8"
 optional = false
 python-versions = ">=3.6"
 groups = ["dev"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
     {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
@@ -464,7 +450,6 @@ description = "multidict implementation"
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3380252550e372e8511d49481bd836264c009adb826b23fefcc5dd3c69692f60"},
     {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:99f826cbf970077383d7de805c0681799491cb939c25450b9b5b3ced03ca99f1"},
@@ -570,7 +555,6 @@ description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "numpy-2.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:51129a29dbe56f9ca83438b706e2e69a39892b5eda6cedcb6b0c9fdc9b0d3ece"},
     {file = "numpy-2.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f15975dfec0cf2239224d80e32c3170b1d168335eaedee69da84fbe9f1f9cd04"},
@@ -626,7 +610,6 @@ description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "openai-1.93.0-py3-none-any.whl", hash = "sha256:3d746fe5498f0dd72e0d9ab706f26c91c0f646bf7459e5629af8ba7c9dbdf090"},
     {file = "openai-1.93.0.tar.gz", hash = "sha256:988f31ade95e1ff0585af11cc5a64510225e4f5cd392698c675d0a9265b8e337"},
@@ -658,7 +641,6 @@ description = "OpenTelemetry Python API"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "opentelemetry_api-1.29.0-py3-none-any.whl", hash = "sha256:5fcd94c4141cc49c736271f3e1efb777bebe9cc535759c54c936cca4f1b312b8"},
     {file = "opentelemetry_api-1.29.0.tar.gz", hash = "sha256:d04a6cf78aad09614f52964ecb38021e248f5714dc32c2e0d8fd99517b4d69cf"},
@@ -675,7 +657,6 @@ description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Py
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "opentelemetry_instrumentation-0.50b0-py3-none-any.whl", hash = "sha256:b8f9fc8812de36e1c6dffa5bfc6224df258841fb387b6dfe5df15099daa10630"},
     {file = "opentelemetry_instrumentation-0.50b0.tar.gz", hash = "sha256:7d98af72de8dec5323e5202e46122e5f908592b22c6d24733aad619f07d82979"},
@@ -694,7 +675,6 @@ description = "OpenTelemetry Python SDK"
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "opentelemetry_sdk-1.29.0-py3-none-any.whl", hash = "sha256:173be3b5d3f8f7d671f20ea37056710217959e774e2749d984355d1f9391a30a"},
     {file = "opentelemetry_sdk-1.29.0.tar.gz", hash = "sha256:b0787ce6aade6ab84315302e72bd7a7f2f014b0fb1b7c3295b88afe014ed0643"},
@@ -712,7 +692,6 @@ description = "OpenTelemetry Semantic Conventions"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "opentelemetry_semantic_conventions-0.50b0-py3-none-any.whl", hash = "sha256:e87efba8fdb67fb38113efea6a349531e75ed7ffc01562f65b802fcecb5e115e"},
     {file = "opentelemetry_semantic_conventions-0.50b0.tar.gz", hash = "sha256:02dc6dbcb62f082de9b877ff19a3f1ffaa3c306300fa53bfac761c4567c83d38"},
@@ -729,7 +708,6 @@ description = "OpenTelemetry Semantic Conventions Extension for Large Language M
 optional = false
 python-versions = "<4,>=3.9"
 groups = ["main"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "opentelemetry_semantic_conventions_ai-0.4.11-py3-none-any.whl", hash = "sha256:9b07da1e66bed1746b61bb5d49d8fba9ae693625ec4ea94ddab390760505bf4b"},
     {file = "opentelemetry_semantic_conventions_ai-0.4.11.tar.gz", hash = "sha256:bc84b71c66a01a5836a28104e691c5524f4f677fc90b40a4e6fbc2ec3e250610"},
@@ -742,7 +720,6 @@ description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "packaging-25.0-py3-none-any.whl", hash = "sha256:29572ef2b1f17581046b3a2227d5c611fb25ec70ca1ba8554b24b0e69331a484"},
     {file = "packaging-25.0.tar.gz", hash = "sha256:d443872c98d677bf60f6a1f2f8c1cb748e8fe762d2bf9d3148b5599295b0fc4f"},
@@ -755,7 +732,6 @@ description = "Powerful data structures for data analysis, time series, and stat
 optional = false
 python-versions = ">=3.9"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "pandas-2.2.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1948ddde24197a0f7add2bdc4ca83bf2b1ef84a1bc8ccffd95eda17fd836ecb5"},
     {file = "pandas-2.2.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:381175499d3802cde0eabbaf6324cce0c4f5d52ca6f8c377c29ad442f50f6348"},
@@ -843,7 +819,6 @@ description = "Type annotations for pandas"
 optional = false
 python-versions = ">=3.9"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "pandas_stubs-2.2.2.240807-py3-none-any.whl", hash = "sha256:893919ad82be4275f0d07bb47a95d08bae580d3fdea308a7acfcb3f02e76186e"},
     {file = "pandas_stubs-2.2.2.240807.tar.gz", hash = "sha256:64a559725a57a449f46225fbafc422520b7410bff9252b661a225b5559192a93"},
@@ -860,7 +835,6 @@ description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
     {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
@@ -877,7 +851,6 @@ description = "Accelerated property cache"
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "propcache-0.2.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c5869b8fd70b81835a6f187c5fdbe67917a04d7e52b6e7cc4e5fe39d55c39d58"},
     {file = "propcache-0.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:952e0d9d07609d9c5be361f33b0d6d650cd2bae393aabb11d9b719364521984b"},
@@ -986,7 +959,6 @@ description = "Python style guide checker"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "pycodestyle-2.11.1-py2.py3-none-any.whl", hash = "sha256:44fe31000b2d866f2e41841b18528a505fbd7fef9017b04eff4e2648a0fadc67"},
     {file = "pycodestyle-2.11.1.tar.gz", hash = "sha256:41ba0e7afc9752dfb53ced5489e89f8186be00e599e712660695b7a75ff2663f"},
@@ -999,7 +971,6 @@ description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "pydantic-2.9.2-py3-none-any.whl", hash = "sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12"},
     {file = "pydantic-2.9.2.tar.gz", hash = "sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f"},
@@ -1015,7 +986,7 @@ typing-extensions = [
 
 [package.extras]
 email = ["email-validator (>=2.0.0)"]
-timezone = ["tzdata"]
+timezone = ["tzdata ; python_version >= \"3.9\" and sys_platform == \"win32\""]
 
 [[package]]
 name = "pydantic-core"
@@ -1024,7 +995,6 @@ description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "pydantic_core-2.23.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:b10bd51f823d891193d4717448fab065733958bdb6a6b351967bd349d48d5c9b"},
     {file = "pydantic_core-2.23.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4fc714bdbfb534f94034efaa6eadd74e5b93c8fa6315565a222f7b6f42ca1166"},
@@ -1127,7 +1097,6 @@ description = "passive checker of Python programs"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "pyflakes-3.2.0-py2.py3-none-any.whl", hash = "sha256:84b5be138a2dfbb40689ca07e2152deb896a65c3a3e24c251c5c62489568074a"},
     {file = "pyflakes-3.2.0.tar.gz", hash = "sha256:1c61603ff154621fb2a9172037d84dca3500def8c8b630657d1701f026f8af3f"},
@@ -1140,7 +1109,6 @@ description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "pytest-8.3.3-py3-none-any.whl", hash = "sha256:a6853c7375b2663155079443d2e45de913a911a11d669df02a50814944db57b2"},
     {file = "pytest-8.3.3.tar.gz", hash = "sha256:70b98107bd648308a7952b06e6ca9a50bc660be218d53c257cc1fc94fda10181"},
@@ -1164,7 +1132,6 @@ description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "pytest_asyncio-0.23.8-py3-none-any.whl", hash = "sha256:50265d892689a5faefb84df80819d1ecef566eb3549cf915dfb33569359d1ce2"},
     {file = "pytest_asyncio-0.23.8.tar.gz", hash = "sha256:759b10b33a6dc61cce40a8bd5205e302978bbbcc00e279a8b61d9a6a3c82e4d3"},
@@ -1184,7 +1151,6 @@ description = "A pytest plugin that allows you recording of network interactions
 optional = false
 python-versions = ">=3.7"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "pytest_recording-0.13.2-py3-none-any.whl", hash = "sha256:3820fe5743d1ac46e807989e11d073cb776a60bdc544cf43ebca454051b22d13"},
     {file = "pytest_recording-0.13.2.tar.gz", hash = "sha256:000c3babbb466681457fd65b723427c1779a0c6c17d9e381c3142a701e124877"},
@@ -1205,7 +1171,6 @@ description = "pytest-sugar is a plugin for pytest that changes the default look
 optional = false
 python-versions = "*"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "pytest-sugar-1.0.0.tar.gz", hash = "sha256:6422e83258f5b0c04ce7c632176c7732cab5fdb909cb39cca5c9139f81276c0a"},
     {file = "pytest_sugar-1.0.0-py3-none-any.whl", hash = "sha256:70ebcd8fc5795dc457ff8b69d266a4e2e8a74ae0c3edc749381c64b5246c8dfd"},
@@ -1226,7 +1191,6 @@ description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
     {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
@@ -1242,7 +1206,6 @@ description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "pytz-2024.2-py2.py3-none-any.whl", hash = "sha256:31c7c1817eb7fae7ca4b8c7ee50c72f93aa2dd863de768e1ef4245d426aa0725"},
     {file = "pytz-2024.2.tar.gz", hash = "sha256:2aa355083c50a0f93fa581709deac0c9ad65cca8a9e9beac660adcbd493c798a"},
@@ -1255,7 +1218,6 @@ description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
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@@ -1312,127 +1274,21 @@ files = [
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-    {file = "regex-2024.9.11-cp39-cp39-win_amd64.whl", hash = "sha256:faa3c142464efec496967359ca99696c896c591c56c53506bac1ad465f66e919"},
-    {file = "regex-2024.9.11.tar.gz", hash = "sha256:6c188c307e8433bcb63dc1915022deb553b4203a70722fc542c363bf120a01fd"},
-]
-
 [[package]]
 name = "requests"
-version = "2.32.3"
+version = "2.32.4"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
+groups = ["test"]
 files = [
-    {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
-    {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
+    {file = "requests-2.32.4-py3-none-any.whl", hash = "sha256:27babd3cda2a6d50b30443204ee89830707d396671944c998b5975b031ac2b2c"},
+    {file = "requests-2.32.4.tar.gz", hash = "sha256:27d0316682c8a29834d3264820024b62a36942083d52caf2f14c0591336d3422"},
 ]
 
 [package.dependencies]
 certifi = ">=2017.4.17"
-charset-normalizer = ">=2,<4"
+charset_normalizer = ">=2,<4"
 idna = ">=2.5,<4"
 urllib3 = ">=1.21.1,<3"
 
@@ -1447,7 +1303,6 @@ description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
@@ -1460,7 +1315,6 @@ description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
@@ -1473,7 +1327,6 @@ description = "ANSI color formatting for output in terminal"
 optional = false
 python-versions = ">=3.9"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "termcolor-2.5.0-py3-none-any.whl", hash = "sha256:37b17b5fc1e604945c2642c872a3764b5d547a48009871aea3edd3afa180afb8"},
     {file = "termcolor-2.5.0.tar.gz", hash = "sha256:998d8d27da6d48442e8e1f016119076b690d962507531df4890fcd2db2ef8a6f"},
@@ -1482,55 +1335,6 @@ files = [
 [package.extras]
 tests = ["pytest", "pytest-cov"]
 
-[[package]]
-name = "tiktoken"
-version = "0.8.0"
-description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
-files = [
-    {file = "tiktoken-0.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b07e33283463089c81ef1467180e3e00ab00d46c2c4bbcef0acab5f771d6695e"},
-    {file = "tiktoken-0.8.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9269348cb650726f44dd3bbb3f9110ac19a8dcc8f54949ad3ef652ca22a38e21"},
-    {file = "tiktoken-0.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:25e13f37bc4ef2d012731e93e0fef21dc3b7aea5bb9009618de9a4026844e560"},
-    {file = "tiktoken-0.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f13d13c981511331eac0d01a59b5df7c0d4060a8be1e378672822213da51e0a2"},
-    {file = "tiktoken-0.8.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:6b2ddbc79a22621ce8b1166afa9f9a888a664a579350dc7c09346a3b5de837d9"},
-    {file = "tiktoken-0.8.0-cp310-cp310-win_amd64.whl", hash = "sha256:d8c2d0e5ba6453a290b86cd65fc51fedf247e1ba170191715b049dac1f628005"},
-    {file = "tiktoken-0.8.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:d622d8011e6d6f239297efa42a2657043aaed06c4f68833550cac9e9bc723ef1"},
-    {file = "tiktoken-0.8.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2efaf6199717b4485031b4d6edb94075e4d79177a172f38dd934d911b588d54a"},
-    {file = "tiktoken-0.8.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5637e425ce1fc49cf716d88df3092048359a4b3bbb7da762840426e937ada06d"},
-    {file = "tiktoken-0.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9fb0e352d1dbe15aba082883058b3cce9e48d33101bdaac1eccf66424feb5b47"},
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-    {file = "tiktoken-0.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:326624128590def898775b722ccc327e90b073714227175ea8febbc920ac0a99"},
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-    {file = "tiktoken-0.8.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2908c0d043a7d03ebd80347266b0e58440bdef5564f84f4d29fb235b5df3b04"},
-    {file = "tiktoken-0.8.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:294440d21a2a51e12d4238e68a5972095534fe9878be57d905c476017bff99fc"},
-    {file = "tiktoken-0.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:d8f3192733ac4d77977432947d563d7e1b310b96497acd3c196c9bddb36ed9db"},
-    {file = "tiktoken-0.8.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:02be1666096aff7da6cbd7cdaa8e7917bfed3467cd64b38b1f112e96d3b06a24"},
-    {file = "tiktoken-0.8.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:c94ff53c5c74b535b2cbf431d907fc13c678bbd009ee633a2aca269a04389f9a"},
-    {file = "tiktoken-0.8.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b231f5e8982c245ee3065cd84a4712d64692348bc609d84467c57b4b72dcbc5"},
-    {file = "tiktoken-0.8.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4177faa809bd55f699e88c96d9bb4635d22e3f59d635ba6fd9ffedf7150b9953"},
-    {file = "tiktoken-0.8.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:5376b6f8dc4753cd81ead935c5f518fa0fbe7e133d9e25f648d8c4dabdd4bad7"},
-    {file = "tiktoken-0.8.0-cp313-cp313-win_amd64.whl", hash = "sha256:18228d624807d66c87acd8f25fc135665617cab220671eb65b50f5d70fa51f69"},
-    {file = "tiktoken-0.8.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7e17807445f0cf1f25771c9d86496bd8b5c376f7419912519699f3cc4dc5c12e"},
-    {file = "tiktoken-0.8.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:886f80bd339578bbdba6ed6d0567a0d5c6cfe198d9e587ba6c447654c65b8edc"},
-    {file = "tiktoken-0.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6adc8323016d7758d6de7313527f755b0fc6c72985b7d9291be5d96d73ecd1e1"},
-    {file = "tiktoken-0.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b591fb2b30d6a72121a80be24ec7a0e9eb51c5500ddc7e4c2496516dd5e3816b"},
-    {file = "tiktoken-0.8.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:845287b9798e476b4d762c3ebda5102be87ca26e5d2c9854002825d60cdb815d"},
-    {file = "tiktoken-0.8.0-cp39-cp39-win_amd64.whl", hash = "sha256:1473cfe584252dc3fa62adceb5b1c763c1874e04511b197da4e6de51d6ce5a02"},
-    {file = "tiktoken-0.8.0.tar.gz", hash = "sha256:9ccbb2740f24542534369c5635cfd9b2b3c2490754a78ac8831d99f89f94eeb2"},
-]
-
-[package.dependencies]
-regex = ">=2022.1.18"
-requests = ">=2.26.0"
-
-[package.extras]
-blobfile = ["blobfile (>=2)"]
-
 [[package]]
 name = "tomli"
 version = "2.0.2"
@@ -1551,7 +1355,6 @@ description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "tqdm-4.66.5-py3-none-any.whl", hash = "sha256:90279a3770753eafc9194a0364852159802111925aa30eb3f9d85b0e805ac7cd"},
     {file = "tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad"},
@@ -1573,7 +1376,6 @@ description = "Typing stubs for pytz"
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "types-pytz-2024.2.0.20241003.tar.gz", hash = "sha256:575dc38f385a922a212bac00a7d6d2e16e141132a3c955078f4a4fd13ed6cb44"},
     {file = "types_pytz-2024.2.0.20241003-py3-none-any.whl", hash = "sha256:3e22df1336c0c6ad1d29163c8fda82736909eb977281cb823c57f8bae07118b7"},
@@ -1586,7 +1388,6 @@ description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
     {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
@@ -1599,7 +1400,6 @@ description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"},
     {file = "tzdata-2024.2.tar.gz", hash = "sha256:7d85cc416e9382e69095b7bdf4afd9e3880418a2413feec7069d533d6b4e31cc"},
@@ -1611,16 +1411,16 @@ version = "1.26.20"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
-groups = ["main", "test"]
-markers = "platform_python_implementation == \"PyPy\" and python_version >= \"3.12\" or platform_python_implementation == \"PyPy\" and python_version <= \"3.11\" or python_version < \"3.10\""
+groups = ["test"]
+markers = "platform_python_implementation == \"PyPy\" or python_version == \"3.9\""
 files = [
     {file = "urllib3-1.26.20-py2.py3-none-any.whl", hash = "sha256:0ed14ccfbf1c30a9072c7ca157e4319b70d65f623e91e7b32fadb2853431016e"},
     {file = "urllib3-1.26.20.tar.gz", hash = "sha256:40c2dc0c681e47eb8f90e7e27bf6ff7df2e677421fd46756da1161c39ca70d32"},
 ]
 
 [package.extras]
-brotli = ["brotli (==1.0.9)", "brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
-secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
+brotli = ["brotli (==1.0.9) ; os_name != \"nt\" and python_version < \"3\" and platform_python_implementation == \"CPython\"", "brotli (>=1.0.9) ; python_version >= \"3\" and platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; (os_name != \"nt\" or python_version >= \"3\") and platform_python_implementation != \"CPython\"", "brotlipy (>=0.6.0) ; os_name == \"nt\" and python_version < \"3\""]
+secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress ; python_version == \"2.7\"", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
 socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
 [[package]]
@@ -1629,15 +1429,15 @@ version = "2.2.3"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "test"]
-markers = "platform_python_implementation != \"PyPy\" and python_version >= \"3.12\" or platform_python_implementation != \"PyPy\" and python_version >= \"3.10\" and python_version <= \"3.11\""
+groups = ["test"]
+markers = "platform_python_implementation != \"PyPy\" and python_version >= \"3.10\""
 files = [
     {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
     {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
 h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
@@ -1649,7 +1449,6 @@ description = "Automatically mock your HTTP interactions to simplify and speed u
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "vcrpy-6.0.2-py2.py3-none-any.whl", hash = "sha256:40370223861181bc76a5e5d4b743a95058bb1ad516c3c08570316ab592f56cad"},
     {file = "vcrpy-6.0.2.tar.gz", hash = "sha256:88e13d9111846745898411dbc74a75ce85870af96dd320d75f1ee33158addc09"},
@@ -1674,7 +1473,6 @@ description = "Module for decorators, wrappers and monkey patching."
 optional = false
 python-versions = ">=3.6"
 groups = ["main", "test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "wrapt-1.16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ffa565331890b90056c01db69c0fe634a776f8019c143a5ae265f9c6bc4bd6d4"},
     {file = "wrapt-1.16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e4fdb9275308292e880dcbeb12546df7f3e0f96c6b41197e0cf37d2826359020"},
@@ -1755,7 +1553,6 @@ description = "Yet another URL library"
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "yarl-1.14.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:1bfc25aa6a7c99cf86564210f79a0b7d4484159c67e01232b116e445b3036547"},
     {file = "yarl-1.14.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0cf21f46a15d445417de8fc89f2568852cf57fe8ca1ab3d19ddb24d45c0383ae"},
@@ -1863,18 +1660,17 @@ description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "test"]
-markers = "python_version >= \"3.12\" or python_version <= \"3.11\""
 files = [
     {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
     {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
 type = ["pytest-mypy"]
 
 [extras]
@@ -1883,4 +1679,4 @@ instruments = []
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.9,<4"
-content-hash = "9a06496b8de776d9b13148b92bb77f15503cc518753f463d3aa662758b68f173"
+content-hash = "971019a7f5b8c4df6c626c4b1349b28308849938dfd9f23f44acc26a3d0f90ed"
diff --git a/packages/opentelemetry-instrumentation-openai/pyproject.toml b/packages/opentelemetry-instrumentation-openai/pyproject.toml
index 66f997c8cc..a7948a4b81 100644
--- a/packages/opentelemetry-instrumentation-openai/pyproject.toml
+++ b/packages/opentelemetry-instrumentation-openai/pyproject.toml
@@ -28,7 +28,6 @@ opentelemetry-api = "^1.28.0"
 opentelemetry-instrumentation = ">=0.50b0"
 opentelemetry-semantic-conventions = ">=0.50b0"
 opentelemetry-semantic-conventions-ai = "0.4.11"
-tiktoken = ">=0.6.0, <1"
 
 [tool.poetry.group.dev.dependencies]
 autopep8 = "^2.2.0"
@@ -42,6 +41,7 @@ pytest-recording = "^0.13.1"
 openai = { extras = ["datalib"], version = ">=1.66.0" }
 opentelemetry-sdk = "^1.27.0"
 pytest-asyncio = "^0.23.7"
+requests = "^2.31.0"
 
 [build-system]
 requires = ["poetry-core"]
diff --git a/packages/opentelemetry-instrumentation-sagemaker/opentelemetry/instrumentation/sagemaker/__init__.py b/packages/opentelemetry-instrumentation-sagemaker/opentelemetry/instrumentation/sagemaker/__init__.py
index b533da4af8..5eba1779d5 100644
--- a/packages/opentelemetry-instrumentation-sagemaker/opentelemetry/instrumentation/sagemaker/__init__.py
+++ b/packages/opentelemetry-instrumentation-sagemaker/opentelemetry/instrumentation/sagemaker/__init__.py
@@ -171,12 +171,10 @@ class SageMakerInstrumentor(BaseInstrumentor):
 
     def __init__(
         self,
-        enrich_token_usage: bool = False,
         exception_logger=None,
         use_legacy_attributes: bool = True,
     ):
         super().__init__()
-        Config.enrich_token_usage = enrich_token_usage
         Config.exception_logger = exception_logger
         Config.use_legacy_attributes = use_legacy_attributes
 
diff --git a/packages/opentelemetry-instrumentation-sagemaker/opentelemetry/instrumentation/sagemaker/config.py b/packages/opentelemetry-instrumentation-sagemaker/opentelemetry/instrumentation/sagemaker/config.py
index 5e93e0eae2..44199c038c 100644
--- a/packages/opentelemetry-instrumentation-sagemaker/opentelemetry/instrumentation/sagemaker/config.py
+++ b/packages/opentelemetry-instrumentation-sagemaker/opentelemetry/instrumentation/sagemaker/config.py
@@ -1,4 +1,3 @@
 class Config:
-    enrich_token_usage = False
     exception_logger = None
     use_legacy_attributes = True
diff --git a/packages/traceloop-sdk/traceloop/sdk/tracing/tracing.py b/packages/traceloop-sdk/traceloop/sdk/tracing/tracing.py
index be910e8734..5d96c82fa2 100644
--- a/packages/traceloop-sdk/traceloop/sdk/tracing/tracing.py
+++ b/packages/traceloop-sdk/traceloop/sdk/tracing/tracing.py
@@ -501,7 +501,6 @@ def init_openai_instrumentor(
             instrumentor = OpenAIInstrumentor(
                 exception_logger=lambda e: Telemetry().log_exception(e),
                 enrich_assistant=should_enrich_metrics,
-                enrich_token_usage=should_enrich_metrics,
                 get_common_metrics_attributes=metrics_common_attributes,
                 upload_base64_image=base64_image_uploader,
             )
@@ -846,7 +845,6 @@ def init_sagemaker_instrumentor(should_enrich_metrics: bool):
 
             instrumentor = SageMakerInstrumentor(
                 exception_logger=lambda e: Telemetry().log_exception(e),
-                enrich_token_usage=should_enrich_metrics,
             )
             if not instrumentor.is_instrumented_by_opentelemetry:
                 instrumentor.instrument()


Test patch:
diff --git a/packages/opentelemetry-instrumentation-groq/tests/traces/conftest.py b/packages/opentelemetry-instrumentation-groq/tests/traces/conftest.py
index 3633606ccc..cf683fdf9f 100644
--- a/packages/opentelemetry-instrumentation-groq/tests/traces/conftest.py
+++ b/packages/opentelemetry-instrumentation-groq/tests/traces/conftest.py
@@ -83,7 +83,7 @@ def async_groq_client():
 
 @pytest.fixture(scope="function")
 def instrument_legacy(reader, tracer_provider, meter_provider):
-    instrumentor = GroqInstrumentor(enrich_token_usage=True)
+    instrumentor = GroqInstrumentor()
     instrumentor.instrument(
         tracer_provider=tracer_provider,
         meter_provider=meter_provider,
@@ -102,7 +102,6 @@ def instrument_with_content(
 
     instrumentor = GroqInstrumentor(
         use_legacy_attributes=False,
-        enrich_token_usage=True,
     )
     instrumentor.instrument(
         tracer_provider=tracer_provider,
@@ -123,7 +122,7 @@ def instrument_with_no_content(
     os.environ.update({TRACELOOP_TRACE_CONTENT: "False"})
 
     instrumentor = GroqInstrumentor(
-        use_legacy_attributes=False, enrich_token_usage=True
+        use_legacy_attributes=False
     )
     instrumentor.instrument(
         tracer_provider=tracer_provider,
diff --git a/packages/opentelemetry-instrumentation-openai/tests/conftest.py b/packages/opentelemetry-instrumentation-openai/tests/conftest.py
index d88e2e9466..e630e3e190 100644
--- a/packages/opentelemetry-instrumentation-openai/tests/conftest.py
+++ b/packages/opentelemetry-instrumentation-openai/tests/conftest.py
@@ -43,6 +43,22 @@ def openai_client():
     return OpenAI()
 
 
+@pytest.fixture
+def mock_openai_client():
+    return OpenAI(
+        api_key="test-key",
+        base_url="http://localhost:5002/v1/"
+    )
+
+
+@pytest.fixture
+def deepseek_client():
+    return OpenAI(
+        api_key="test-key",
+        base_url="https://api.deepseek.com/v1"
+    )
+
+
 @pytest.fixture
 def vllm_openai_client():
     return OpenAI(base_url="http://localhost:8000/v1")
@@ -123,7 +139,6 @@ async def upload_base64_image(*args):
 
     instrumentor = OpenAIInstrumentor(
         enrich_assistant=True,
-        enrich_token_usage=True,
         upload_base64_image=upload_base64_image,
     )
     instrumentor.instrument(
diff --git a/packages/opentelemetry-instrumentation-openai/tests/metrics/cassettes/test_openai_metrics/test_chat_streaming_metrics.yaml b/packages/opentelemetry-instrumentation-openai/tests/metrics/cassettes/test_openai_metrics/test_chat_streaming_metrics.yaml
index 81babf823d..f4e7c7cd9a 100644
--- a/packages/opentelemetry-instrumentation-openai/tests/metrics/cassettes/test_openai_metrics/test_chat_streaming_metrics.yaml
+++ b/packages/opentelemetry-instrumentation-openai/tests/metrics/cassettes/test_openai_metrics/test_chat_streaming_metrics.yaml
@@ -3,7 +3,7 @@ interactions:
     body: '{"messages": [{"role": "system", "content": "You are a poetic assistant,
       skilled in explaining complex programming concepts with creative flair."}, {"role":
       "user", "content": "Compose a poem that explains the concept of recursion in
-      programming."}], "model": "gpt-3.5-turbo", "stream": true}'
+      programming."}], "model": "deepseek-chat", "stream": true}'
     headers:
       accept:
       - application/json
@@ -16,9 +16,11 @@ interactions:
       content-type:
       - application/json
       host:
-      - api.openai.com
+      - api.deepseek.com
+      traceparent:
+      - 00-df073bfb7737f449d1f96e14d83e37c1-f316aee22c8d5615-01
       user-agent:
-      - OpenAI/Python 1.12.0
+      - OpenAI/Python 1.93.0
       x-stainless-arch:
       - arm64
       x-stainless-async:
@@ -28,703 +30,372 @@ interactions:
       x-stainless-os:
       - MacOS
       x-stainless-package-version:
-      - 1.12.0
+      - 1.93.0
+      x-stainless-read-timeout:
+      - '600'
+      x-stainless-retry-count:
+      - '0'
       x-stainless-runtime:
       - CPython
       x-stainless-runtime-version:
-      - 3.9.5
+      - 3.12.1
     method: POST
-    uri: https://api.openai.com/v1/chat/completions
+    uri: https://api.deepseek.com/v1/chat/completions
   response:
     body:
-      string: 'data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"In"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        the"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        realm"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        of"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        code"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":","},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        a"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        method"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        exists"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":",\n"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"That"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        calls"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        upon"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        itself"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":","},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        it"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        persists"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":".\n"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"Rec"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"ursion"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":","},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        a"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        magical"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        loop"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        in"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        disguise"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":",\n"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"Un"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"r"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"avel"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"ing"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        layers"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":","},"logprobs":null,"finish_reason":null}]}
-
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-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        reaching"},"logprobs":null,"finish_reason":null}]}
-
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-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        the"},"logprobs":null,"finish_reason":null}]}
-
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-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
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-
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-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":".\n\n"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"With"},"logprobs":null,"finish_reason":null}]}
-
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-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
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-
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-
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-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
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-
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-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":","},"logprobs":null,"finish_reason":null}]}
-
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-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
-        it"},"logprobs":null,"finish_reason":null}]}
-
-
-        data: {"id":"chatcmpl-8znIXkOp1Yp5szpFmJ43PwGIH76kg","object":"chat.completion.chunk","created":1709738201,"model":"gpt-3.5-turbo-0125","system_fingerprint":"fp_2b778c6b35","choices":[{"index":0,"delta":{"content":"
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-
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-
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diff --git a/packages/opentelemetry-instrumentation-openai/tests/metrics/test_openai_metrics.py b/packages/opentelemetry-instrumentation-openai/tests/metrics/test_openai_metrics.py
index d02329a4de..12c0933d53 100644
--- a/packages/opentelemetry-instrumentation-openai/tests/metrics/test_openai_metrics.py
+++ b/packages/opentelemetry-instrumentation-openai/tests/metrics/test_openai_metrics.py
@@ -129,9 +129,11 @@ class StructuredAnswer(BaseModel):
 
 
 @pytest.mark.vcr
-def test_chat_streaming_metrics(instrument_legacy, reader, openai_client):
-    response = openai_client.chat.completions.create(
-        model="gpt-3.5-turbo",
+def test_chat_streaming_metrics(instrument_legacy, reader, deepseek_client):
+    # Since there isn't an official OpenAI API,
+    # using a deepseek API that offers compatibility with the OpenAI standard.
+    response = deepseek_client.chat.completions.create(
+        model="deepseek-chat",
         messages=[
             {
                 "role": "system",
@@ -207,9 +209,10 @@ def test_chat_streaming_metrics(instrument_legacy, reader, openai_client):
                     assert (
                         data_point.attributes.get(SpanAttributes.LLM_SYSTEM) == "openai"
                     )
+                    # Add `deepseek-chat` to the list of models since it's a alternative to OpenAI API
                     assert str(
                         data_point.attributes[SpanAttributes.LLM_RESPONSE_MODEL]
-                    ) in ("gpt-3.5-turbo", "gpt-3.5-turbo-0125", "gpt-4o-2024-08-06")
+                    ) in ("gpt-3.5-turbo", "gpt-3.5-turbo-0125", "gpt-4o-2024-08-06", "deepseek-chat")
                     assert data_point.attributes["gen_ai.operation.name"] == "chat"
                     assert data_point.attributes["server.address"] != ""
 
diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/cassettes/test_chat/test_chat_streaming.yaml b/packages/opentelemetry-instrumentation-openai/tests/traces/cassettes/test_chat/test_chat_streaming.yaml
index ce779347c4..932d8ff5c4 100644
--- a/packages/opentelemetry-instrumentation-openai/tests/traces/cassettes/test_chat/test_chat_streaming.yaml
+++ b/packages/opentelemetry-instrumentation-openai/tests/traces/cassettes/test_chat/test_chat_streaming.yaml
@@ -14,9 +14,11 @@ interactions:
       content-type:
       - application/json
       host:
-      - api.openai.com
+      - localhost:5002
+      traceparent:
+      - 00-ed486a681e8ed57d8deaf5709bbf14d6-c9e0a1d5d4a0ca82-01
       user-agent:
-      - OpenAI/Python 1.12.0
+      - OpenAI/Python 1.93.0
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       x-stainless-async:
@@ -26,162 +28,228 @@ interactions:
       x-stainless-os:
       - MacOS
       x-stainless-package-version:
-      - 1.12.0
+      - 1.93.0
+      x-stainless-read-timeout:
+      - '600'
+      x-stainless-retry-count:
+      - '0'
       x-stainless-runtime:
       - CPython
       x-stainless-runtime-version:
-      - 3.9.5
+      - 3.12.1
     method: POST
-    uri: https://api.openai.com/v1/chat/completions
+    uri: http://localhost:5002/v1/chat/completions
   response:
     body:
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-
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+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\".\",\"logprobs\":null,\"finish_reason\":null}]}\n\ndata:
+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"\\\"\",\"logprobs\":null,\"finish_reason\":null}]}\n\ndata:
+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"\\n\\n\",\"logprobs\":null,\"finish_reason\":null}]}\n\ndata:
+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"Then\",\"logprobs\":null,\"finish_reason\":null}]}\n\ndata:
+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"
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+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"
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+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"
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+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\",\",\"logprobs\":null,\"finish_reason\":null}]}\n\ndata:
+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"
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+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"
+        \",\"logprobs\":null,\"finish_reason\":null}]}\n\ndata: {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"(open\",\"logprobs\":null,\"finish_reason\":null}]}\n\ndata:
+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"
+        \",\"logprobs\":null,\"finish_reason\":null}]}\n\ndata: {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"source)\",\"logprobs\":null,\"finish_reason\":null}]}\n\ndata:
+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"
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+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"
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+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"
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+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"
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+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\".\",\"logprobs\":null,\"finish_reason\":null}]}\n\ndata:
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+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\",\",\"logprobs\":null,\"finish_reason\":null}]}\n\ndata:
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+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"
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+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"
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+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\".\",\"logprobs\":null,\"finish_reason\":null}]}\n\ndata:
+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"
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+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"
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+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"
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+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"
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+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\".\",\"logprobs\":null,\"finish_reason\":null}]}\n\ndata:
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+        {\"id\":\"cmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W\",\"object\":\"text_completion\",\"created\":1753879648527,\"model\":\"davinci-002\",\"choices\":[{\"index\":0,\"text\":\"\\n\\n\\n\\n\",\"logprobs\":null,\"finish_reason\":null}]}\n\ndata:
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+        [DONE]\n\n"
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diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py
index 1bdc4af02c..307bfb9c49 100644
--- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py
+++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_azure.py
@@ -624,9 +624,12 @@ async def test_chat_async_streaming(
     )
     assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is True
 
-    assert open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_TOTAL_TOKENS) == 36
-    assert open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_PROMPT_TOKENS) == 8
-    assert open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_COMPLETION_TOKENS) == 28
+    # Only assert token usage if API provides it (Existing cassetes of Azure OpenAI may not include usage in streaming)
+    completion_tokens = open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_COMPLETION_TOKENS)
+    prompt_tokens = open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_PROMPT_TOKENS)
+    total_tokens = open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_TOTAL_TOKENS)
+    if completion_tokens and prompt_tokens and total_tokens:
+        assert completion_tokens + prompt_tokens == total_tokens
 
     events = open_ai_span.events
     assert len(events) == chunk_count
@@ -669,9 +672,12 @@ async def test_chat_async_streaming_with_events_with_content(
     )
     assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is True
 
-    assert open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_TOTAL_TOKENS) == 36
-    assert open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_PROMPT_TOKENS) == 8
-    assert open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_COMPLETION_TOKENS) == 28
+    # Only assert token usage if API provides it (Existing cassetes of Azure OpenAI may not include usage in streaming)
+    completion_tokens = open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_COMPLETION_TOKENS)
+    prompt_tokens = open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_PROMPT_TOKENS)
+    total_tokens = open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_TOTAL_TOKENS)
+    if completion_tokens and prompt_tokens and total_tokens:
+        assert completion_tokens + prompt_tokens == total_tokens
 
     events = open_ai_span.events
     assert len(events) == chunk_count
@@ -732,9 +738,12 @@ async def test_chat_async_streaming_with_events_with_no_content(
     )
     assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is True
 
-    assert open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_TOTAL_TOKENS) == 36
-    assert open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_PROMPT_TOKENS) == 8
-    assert open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_COMPLETION_TOKENS) == 28
+    # Only assert token usage if API provides it (Existing cassetes of Azure OpenAI may not include usage in streaming)
+    completion_tokens = open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_COMPLETION_TOKENS)
+    prompt_tokens = open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_PROMPT_TOKENS)
+    total_tokens = open_ai_span.attributes.get(SpanAttributes.LLM_USAGE_TOTAL_TOKENS)
+    if completion_tokens and prompt_tokens and total_tokens:
+        assert completion_tokens + prompt_tokens == total_tokens
 
     events = open_ai_span.events
     assert len(events) == chunk_count
diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py
index b4034f4601..8beab91dfe 100644
--- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py
+++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_chat.py
@@ -581,8 +581,8 @@ def test_chat_pydantic_based_tool_calls_with_events_with_no_content(
 
 
 @pytest.mark.vcr
-def test_chat_streaming(instrument_legacy, span_exporter, log_exporter, openai_client):
-    response = openai_client.chat.completions.create(
+def test_chat_streaming(instrument_legacy, span_exporter, log_exporter, mock_openai_client):
+    response = mock_openai_client.chat.completions.create(
         model="gpt-3.5-turbo",
         messages=[
             {"role": "user", "content": "Tell me a joke about opentelemetry"}],
@@ -607,12 +607,13 @@ def test_chat_streaming(instrument_legacy, span_exporter, log_exporter, openai_c
         f"{SpanAttributes.LLM_COMPLETIONS}.0.content")
     assert (
         open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE)
-        == "https://api.openai.com/v1/"
+        == "http://localhost:5002/v1/"
     )
     assert open_ai_span.attributes.get(SpanAttributes.LLM_IS_STREAMING) is True
 
     events = open_ai_span.events
-    assert len(events) == chunk_count
+    # Mock OpenAI background may produce different number of events, just check it's reasonable
+    assert len(events) > 0
 
     # check token usage attributes for stream
     completion_tokens = open_ai_span.attributes.get(
@@ -623,10 +624,11 @@ def test_chat_streaming(instrument_legacy, span_exporter, log_exporter, openai_c
     total_tokens = open_ai_span.attributes.get(
         SpanAttributes.LLM_USAGE_TOTAL_TOKENS)
     assert completion_tokens and prompt_tokens and total_tokens
+    # When OpenAI API provides token usage, check that the sum of completion and prompt tokens equals total tokens
     assert completion_tokens + prompt_tokens == total_tokens
     assert (
         open_ai_span.attributes.get("gen_ai.response.id")
-        == "chatcmpl-908MECg5dMyTTbJEltubwQXeeWlBA"
+        == "chatcmpl-7UR4UcvmeD79Xva3UxkKkL2es6b5W"
     )
 
     logs = log_exporter.get_finished_logs()
@@ -673,8 +675,9 @@ def test_chat_streaming_with_events_with_content(
         SpanAttributes.LLM_USAGE_PROMPT_TOKENS)
     total_tokens = open_ai_span.attributes.get(
         SpanAttributes.LLM_USAGE_TOTAL_TOKENS)
-    assert completion_tokens and prompt_tokens and total_tokens
-    assert completion_tokens + prompt_tokens == total_tokens
+    # Only assert token usage if API provides it (modern OpenAI API includes usage in streaming)
+    if completion_tokens and prompt_tokens and total_tokens:
+        assert completion_tokens + prompt_tokens == total_tokens
     assert (
         open_ai_span.attributes.get("gen_ai.response.id")
         == "chatcmpl-908MECg5dMyTTbJEltubwQXeeWlBA"
@@ -735,7 +738,7 @@ def test_chat_streaming_with_events_with_no_content(
     events = open_ai_span.events
     assert len(events) == chunk_count
 
-    # check token usage attributes for stream
+    # check token usage attributes for stream (optional, depends on API support)
     completion_tokens = open_ai_span.attributes.get(
         SpanAttributes.LLM_USAGE_COMPLETION_TOKENS
     )
@@ -743,8 +746,8 @@ def test_chat_streaming_with_events_with_no_content(
         SpanAttributes.LLM_USAGE_PROMPT_TOKENS)
     total_tokens = open_ai_span.attributes.get(
         SpanAttributes.LLM_USAGE_TOTAL_TOKENS)
-    assert completion_tokens and prompt_tokens and total_tokens
-    assert completion_tokens + prompt_tokens == total_tokens
+    if completion_tokens and prompt_tokens and total_tokens:
+        assert completion_tokens + prompt_tokens == total_tokens
     assert (
         open_ai_span.attributes.get("gen_ai.response.id")
         == "chatcmpl-908MECg5dMyTTbJEltubwQXeeWlBA"
@@ -807,8 +810,8 @@ async def test_chat_async_streaming(
         SpanAttributes.LLM_USAGE_PROMPT_TOKENS)
     total_tokens = open_ai_span.attributes.get(
         SpanAttributes.LLM_USAGE_TOTAL_TOKENS)
-    assert completion_tokens and prompt_tokens and total_tokens
-    assert completion_tokens + prompt_tokens == total_tokens
+    if completion_tokens and prompt_tokens and total_tokens:
+        assert completion_tokens + prompt_tokens == total_tokens
     assert (
         open_ai_span.attributes.get("gen_ai.response.id")
         == "chatcmpl-9AGW3t9akkLW9f5f93B7mOhiqhNMC"
@@ -859,8 +862,8 @@ async def test_chat_async_streaming_with_events_with_content(
         SpanAttributes.LLM_USAGE_PROMPT_TOKENS)
     total_tokens = open_ai_span.attributes.get(
         SpanAttributes.LLM_USAGE_TOTAL_TOKENS)
-    assert completion_tokens and prompt_tokens and total_tokens
-    assert completion_tokens + prompt_tokens == total_tokens
+    if completion_tokens and prompt_tokens and total_tokens:
+        assert completion_tokens + prompt_tokens == total_tokens
     assert (
         open_ai_span.attributes.get("gen_ai.response.id")
         == "chatcmpl-9AGW3t9akkLW9f5f93B7mOhiqhNMC"
@@ -928,8 +931,8 @@ async def test_chat_async_streaming_with_events_with_no_content(
         SpanAttributes.LLM_USAGE_PROMPT_TOKENS)
     total_tokens = open_ai_span.attributes.get(
         SpanAttributes.LLM_USAGE_TOTAL_TOKENS)
-    assert completion_tokens and prompt_tokens and total_tokens
-    assert completion_tokens + prompt_tokens == total_tokens
+    if completion_tokens and prompt_tokens and total_tokens:
+        assert completion_tokens + prompt_tokens == total_tokens
     assert (
         open_ai_span.attributes.get("gen_ai.response.id")
         == "chatcmpl-9AGW3t9akkLW9f5f93B7mOhiqhNMC"
diff --git a/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py b/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py
index 02f76d6b4c..51c849ffd5 100644
--- a/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py
+++ b/packages/opentelemetry-instrumentation-openai/tests/traces/test_completions.py
@@ -1,4 +1,3 @@
-import os
 from unittest.mock import patch
 
 import httpx
@@ -346,107 +345,88 @@ def test_completion_langchain_style_with_events_with_no_content(
 
 @pytest.mark.vcr
 def test_completion_streaming(
-    instrument_legacy, span_exporter, log_exporter, openai_client
+    instrument_legacy, span_exporter, log_exporter, mock_openai_client
 ):
-    # set os env for token usage record in stream mode
-    original_value = os.environ.get("TRACELOOP_STREAM_TOKEN_USAGE")
-    os.environ["TRACELOOP_STREAM_TOKEN_USAGE"] = "true"
-
-    try:
-        response = openai_client.completions.create(
-            model="davinci-002",
-            prompt="Tell me a joke about opentelemetry",
-            stream=True,
-        )
+    response = mock_openai_client.completions.create(
+        model="davinci-002",
+        prompt="Tell me a joke about opentelemetry",
+        stream=True,
+    )
 
-        for _ in response:
-            pass
+    for _ in response:
+        pass
 
-        spans = span_exporter.get_finished_spans()
-        assert [span.name for span in spans] == [
-            "openai.completion",
-        ]
-        open_ai_span = spans[0]
-        assert (
-            open_ai_span.attributes[f"{SpanAttributes.LLM_PROMPTS}.0.user"]
-            == "Tell me a joke about opentelemetry"
-        )
-        assert open_ai_span.attributes.get(
-            f"{SpanAttributes.LLM_COMPLETIONS}.0.content"
-        )
-        assert (
-            open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE)
-            == "https://api.openai.com/v1/"
-        )
+    spans = span_exporter.get_finished_spans()
+    assert [span.name for span in spans] == [
+        "openai.completion",
+    ]
+    open_ai_span = spans[0]
+    assert (
+        open_ai_span.attributes[f"{SpanAttributes.LLM_PROMPTS}.0.user"]
+        == "Tell me a joke about opentelemetry"
+    )
+    assert open_ai_span.attributes.get(
+        f"{SpanAttributes.LLM_COMPLETIONS}.0.content"
+    )
+    assert (
+        open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE)
+        == "http://localhost:5002/v1/"
+    )
 
-        # check token usage attributes for stream
-        completion_tokens = open_ai_span.attributes.get(
-            SpanAttributes.LLM_USAGE_COMPLETION_TOKENS
-        )
-        prompt_tokens = open_ai_span.attributes.get(
-            SpanAttributes.LLM_USAGE_PROMPT_TOKENS
-        )
-        total_tokens = open_ai_span.attributes.get(
-            SpanAttributes.LLM_USAGE_TOTAL_TOKENS
-        )
-        assert completion_tokens and prompt_tokens and total_tokens
+    # check token usage attributes for stream
+    completion_tokens = open_ai_span.attributes.get(
+        SpanAttributes.LLM_USAGE_COMPLETION_TOKENS
+    )
+    prompt_tokens = open_ai_span.attributes.get(
+        SpanAttributes.LLM_USAGE_PROMPT_TOKENS
+    )
+    total_tokens = open_ai_span.attributes.get(
+        SpanAttributes.LLM_USAGE_TOTAL_TOKENS
+    )
+    # Only assert if token usage is available (depends on API support)
+    if completion_tokens and prompt_tokens and total_tokens:
         assert completion_tokens + prompt_tokens == total_tokens
-        assert (
-            open_ai_span.attributes.get("gen_ai.response.id")
-            == "cmpl-8wq44ev1DvyhsBfm1hNwxfv6Dltco"
-        )
 
-        logs = log_exporter.get_finished_logs()
-        assert (
-            len(logs) == 0
-        ), "Assert that it doesn't emit logs when use_legacy_attributes is True"
-    finally:
-        # unset env
-        if original_value is None:
-            del os.environ["TRACELOOP_STREAM_TOKEN_USAGE"]
-        else:
-            os.environ["TRACELOOP_STREAM_TOKEN_USAGE"] = original_value
+    logs = log_exporter.get_finished_logs()
+    assert (
+        len(logs) == 0
+    ), "Assert that it doesn't emit logs when use_legacy_attributes is True"
 
 
 @pytest.mark.vcr
 def test_completion_streaming_with_events_with_content(
     instrument_with_content, span_exporter, log_exporter, openai_client
 ):
-    # set os env for token usage record in stream mode
-    original_value = os.environ.get("TRACELOOP_STREAM_TOKEN_USAGE")
-    os.environ["TRACELOOP_STREAM_TOKEN_USAGE"] = "true"
-
-    try:
-        response = openai_client.completions.create(
-            model="davinci-002",
-            prompt="Tell me a joke about opentelemetry",
-            stream=True,
-        )
+    response = openai_client.completions.create(
+        model="davinci-002",
+        prompt="Tell me a joke about opentelemetry",
+        stream=True,
+    )
 
-        for _ in response:
-            pass
+    for _ in response:
+        pass
 
-        spans = span_exporter.get_finished_spans()
-        assert [span.name for span in spans] == [
-            "openai.completion",
-        ]
-        open_ai_span = spans[0]
-        assert (
-            open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE)
-            == "https://api.openai.com/v1/"
-        )
+    spans = span_exporter.get_finished_spans()
+    assert [span.name for span in spans] == [
+        "openai.completion",
+    ]
+    open_ai_span = spans[0]
+    assert (
+        open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE)
+        == "https://api.openai.com/v1/"
+    )
 
-        # check token usage attributes for stream
-        completion_tokens = open_ai_span.attributes.get(
-            SpanAttributes.LLM_USAGE_COMPLETION_TOKENS
-        )
-        prompt_tokens = open_ai_span.attributes.get(
-            SpanAttributes.LLM_USAGE_PROMPT_TOKENS
-        )
-        total_tokens = open_ai_span.attributes.get(
-            SpanAttributes.LLM_USAGE_TOTAL_TOKENS
-        )
-        assert completion_tokens and prompt_tokens and total_tokens
+    completion_tokens = open_ai_span.attributes.get(
+        SpanAttributes.LLM_USAGE_COMPLETION_TOKENS
+    )
+    prompt_tokens = open_ai_span.attributes.get(
+        SpanAttributes.LLM_USAGE_PROMPT_TOKENS
+    )
+    total_tokens = open_ai_span.attributes.get(
+        SpanAttributes.LLM_USAGE_TOTAL_TOKENS
+    )
+    # Only assert token usage if API provides it (modern OpenAI API includes usage in streaming)
+    if completion_tokens and prompt_tokens and total_tokens:
         assert completion_tokens + prompt_tokens == total_tokens
         assert (
             open_ai_span.attributes.get("gen_ai.response.id")
@@ -473,53 +453,43 @@ def test_completion_streaming_with_events_with_content(
             },
         }
         assert_message_in_logs(logs[1], "gen_ai.choice", choice_event)
-    finally:
-        # unset env
-        if original_value is None:
-            del os.environ["TRACELOOP_STREAM_TOKEN_USAGE"]
-        else:
-            os.environ["TRACELOOP_STREAM_TOKEN_USAGE"] = original_value
 
 
 @pytest.mark.vcr
 def test_completion_streaming_with_events_with_no_content(
     instrument_with_no_content, span_exporter, log_exporter, openai_client
 ):
-    # set os env for token usage record in stream mode
-    original_value = os.environ.get("TRACELOOP_STREAM_TOKEN_USAGE")
-    os.environ["TRACELOOP_STREAM_TOKEN_USAGE"] = "true"
-
-    try:
-        response = openai_client.completions.create(
-            model="davinci-002",
-            prompt="Tell me a joke about opentelemetry",
-            stream=True,
-        )
+    response = openai_client.completions.create(
+        model="davinci-002",
+        prompt="Tell me a joke about opentelemetry",
+        stream=True,
+    )
 
-        for _ in response:
-            pass
+    for _ in response:
+        pass
 
-        spans = span_exporter.get_finished_spans()
-        assert [span.name for span in spans] == [
-            "openai.completion",
-        ]
-        open_ai_span = spans[0]
-        assert (
-            open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE)
-            == "https://api.openai.com/v1/"
-        )
+    spans = span_exporter.get_finished_spans()
+    assert [span.name for span in spans] == [
+        "openai.completion",
+    ]
+    open_ai_span = spans[0]
+    assert (
+        open_ai_span.attributes.get(SpanAttributes.LLM_OPENAI_API_BASE)
+        == "https://api.openai.com/v1/"
+    )
 
-        # check token usage attributes for stream
-        completion_tokens = open_ai_span.attributes.get(
-            SpanAttributes.LLM_USAGE_COMPLETION_TOKENS
-        )
-        prompt_tokens = open_ai_span.attributes.get(
-            SpanAttributes.LLM_USAGE_PROMPT_TOKENS
-        )
-        total_tokens = open_ai_span.attributes.get(
-            SpanAttributes.LLM_USAGE_TOTAL_TOKENS
-        )
-        assert completion_tokens and prompt_tokens and total_tokens
+    # check token usage attributes for stream (optional, depends on API support)
+    completion_tokens = open_ai_span.attributes.get(
+        SpanAttributes.LLM_USAGE_COMPLETION_TOKENS
+    )
+    prompt_tokens = open_ai_span.attributes.get(
+        SpanAttributes.LLM_USAGE_PROMPT_TOKENS
+    )
+    total_tokens = open_ai_span.attributes.get(
+        SpanAttributes.LLM_USAGE_TOTAL_TOKENS
+    )
+    # Only assert token usage if API provides it (modern OpenAI API includes usage in streaming)
+    if completion_tokens and prompt_tokens and total_tokens:
         assert completion_tokens + prompt_tokens == total_tokens
         assert (
             open_ai_span.attributes.get("gen_ai.response.id")
@@ -536,12 +506,6 @@ def test_completion_streaming_with_events_with_no_content(
         # Validate the ai response
         choice_event = {"index": 0, "finish_reason": "length", "message": {}}
         assert_message_in_logs(logs[1], "gen_ai.choice", choice_event)
-    finally:
-        # unset env
-        if original_value is None:
-            del os.environ["TRACELOOP_STREAM_TOKEN_USAGE"]
-        else:
-            os.environ["TRACELOOP_STREAM_TOKEN_USAGE"] = original_value
 
 
 @pytest.mark.vcr
diff --git a/packages/opentelemetry-instrumentation-sagemaker/tests/conftest.py b/packages/opentelemetry-instrumentation-sagemaker/tests/conftest.py
index 01ebf0ab42..019fad2b9c 100644
--- a/packages/opentelemetry-instrumentation-sagemaker/tests/conftest.py
+++ b/packages/opentelemetry-instrumentation-sagemaker/tests/conftest.py
@@ -49,7 +49,7 @@ def fixture_event_logger_provider(log_exporter):
 
 @pytest.fixture(scope="function")
 def instrument_legacy(tracer_provider):
-    instrumentor = SageMakerInstrumentor(enrich_token_usage=True)
+    instrumentor = SageMakerInstrumentor()
     instrumentor.instrument(
         tracer_provider=tracer_provider,
     )
@@ -64,7 +64,7 @@ def instrument_with_content(tracer_provider, event_logger_provider):
     os.environ.update({TRACELOOP_TRACE_CONTENT: "True"})
 
     instrumentor = SageMakerInstrumentor(
-        enrich_token_usage=True, use_legacy_attributes=False
+        use_legacy_attributes=False
     )
     instrumentor.instrument(
         tracer_provider=tracer_provider,
@@ -82,7 +82,7 @@ def instrument_with_no_content(tracer_provider, event_logger_provider):
     os.environ.update({TRACELOOP_TRACE_CONTENT: "False"})
 
     instrumentor = SageMakerInstrumentor(
-        enrich_token_usage=True, use_legacy_attributes=False
+        use_legacy_attributes=False
     )
     instrumentor.instrument(
         tracer_provider=tracer_provider,