diff --git a/packages/opentelemetry-instrumentation-langchain/opentelemetry/instrumentation/langchain/__init__.py b/packages/opentelemetry-instrumentation-langchain/opentelemetry/instrumentation/langchain/__init__.py
index ca5dafc8e..3d39ba307 100644
--- a/packages/opentelemetry-instrumentation-langchain/opentelemetry/instrumentation/langchain/__init__.py
+++ b/packages/opentelemetry-instrumentation-langchain/opentelemetry/instrumentation/langchain/__init__.py
@@ -17,13 +17,17 @@
     workflow_wrapper,
     aworkflow_wrapper,
 )
+from opentelemetry.instrumentation.langchain.custom_llm_wrapper import (
+    llm_wrapper,
+    allm_wrapper,
+)
 from opentelemetry.instrumentation.langchain.version import __version__
 
 from opentelemetry.semconv.ai import TraceloopSpanKindValues
 
 logger = logging.getLogger(__name__)
 
-_instruments = ("langchain >= 0.0.346",)
+_instruments = ("langchain >= 0.0.346", "langchain-core > 0.1.0")
 
 WRAPPED_METHODS = [
     {
@@ -132,6 +136,20 @@
         "span_name": "langchain.workflow",
         "wrapper": aworkflow_wrapper,
     },
+    {
+        "package": "langchain_core.language_models.llms",
+        "object": "LLM",
+        "method": "_generate",
+        "span_name": "llm.generate",
+        "wrapper": llm_wrapper,
+    },
+    {
+        "package": "langchain_core.language_models.llms",
+        "object": "LLM",
+        "method": "_agenerate",
+        "span_name": "llm.generate",
+        "wrapper": allm_wrapper,
+    },
 ]
 
 
diff --git a/packages/opentelemetry-instrumentation-langchain/opentelemetry/instrumentation/langchain/custom_llm_wrapper.py b/packages/opentelemetry-instrumentation-langchain/opentelemetry/instrumentation/langchain/custom_llm_wrapper.py
new file mode 100644
index 000000000..5a9bfa846
--- /dev/null
+++ b/packages/opentelemetry-instrumentation-langchain/opentelemetry/instrumentation/langchain/custom_llm_wrapper.py
@@ -0,0 +1,58 @@
+from opentelemetry import context as context_api
+from opentelemetry.instrumentation.utils import _SUPPRESS_INSTRUMENTATION_KEY
+
+from opentelemetry.semconv.ai import SpanAttributes, LLMRequestTypeValues
+
+from opentelemetry.instrumentation.langchain.utils import _with_tracer_wrapper
+from opentelemetry.instrumentation.langchain.utils import should_send_prompts
+
+
+@_with_tracer_wrapper
+def llm_wrapper(tracer, to_wrap, wrapped, instance, args, kwargs):
+    """Instruments and calls every function defined in TO_WRAP."""
+    if context_api.get_value(_SUPPRESS_INSTRUMENTATION_KEY):
+        return wrapped(*args, **kwargs)
+
+    name = f"{instance.__class__.__name__}.chat"
+    with tracer.start_as_current_span(name) as span:
+        _handle_request(span, args, kwargs, instance)
+        return_value = wrapped(*args, **kwargs)
+        _handle_response(span, return_value)
+
+    return return_value
+
+
+@_with_tracer_wrapper
+async def allm_wrapper(tracer, to_wrap, wrapped, instance, args, kwargs):
+    """Instruments and calls every function defined in TO_WRAP."""
+    if context_api.get_value(_SUPPRESS_INSTRUMENTATION_KEY):
+        return wrapped(*args, **kwargs)
+
+    name = f"{instance.__class__.__name__}.chat"
+    with tracer.start_as_current_span(name) as span:
+        _handle_request(span, args, kwargs, instance)
+        return_value = await wrapped(*args, **kwargs)
+        _handle_response(span, return_value)
+
+    return return_value
+
+
+def _handle_request(span, args, kwargs, instance):
+    span.set_attribute(
+        SpanAttributes.LLM_REQUEST_TYPE, LLMRequestTypeValues.COMPLETION.value
+    )
+    span.set_attribute(SpanAttributes.LLM_REQUEST_MODEL, instance.__class__.__name__)
+
+    if should_send_prompts():
+        for idx, prompt in enumerate(args[0]):
+            span.set_attribute(f"{SpanAttributes.LLM_PROMPTS}.{idx}.user", prompt)
+
+
+def _handle_response(span, return_value):
+    print(return_value)
+    if should_send_prompts():
+        for idx, generation in enumerate(return_value.generations):
+            span.set_attribute(
+                f"{SpanAttributes.LLM_COMPLETIONS}.{idx}.content",
+                generation[0].text,
+            )
diff --git a/packages/opentelemetry-instrumentation-langchain/opentelemetry/instrumentation/langchain/utils.py b/packages/opentelemetry-instrumentation-langchain/opentelemetry/instrumentation/langchain/utils.py
index 35355b781..beadb69bb 100644
--- a/packages/opentelemetry-instrumentation-langchain/opentelemetry/instrumentation/langchain/utils.py
+++ b/packages/opentelemetry-instrumentation-langchain/opentelemetry/instrumentation/langchain/utils.py
@@ -1,3 +1,7 @@
+import os
+from opentelemetry import context as context_api
+
+
 def _with_tracer_wrapper(func):
     """Helper for providing tracer for wrapper functions."""
 
@@ -8,3 +12,9 @@ def wrapper(wrapped, instance, args, kwargs):
         return wrapper
 
     return _with_tracer
+
+
+def should_send_prompts():
+    return (
+        os.getenv("TRACELOOP_TRACE_CONTENT") or "true"
+    ).lower() == "true" or context_api.get_value("override_enable_content_tracing")
diff --git a/packages/opentelemetry-instrumentation-langchain/poetry.lock b/packages/opentelemetry-instrumentation-langchain/poetry.lock
index 4df992c49..84efc960d 100644
--- a/packages/opentelemetry-instrumentation-langchain/poetry.lock
+++ b/packages/opentelemetry-instrumentation-langchain/poetry.lock
@@ -366,6 +366,22 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
+name = "filelock"
+version = "3.13.3"
+description = "A platform independent file lock."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "filelock-3.13.3-py3-none-any.whl", hash = "sha256:5ffa845303983e7a0b7ae17636509bc97997d58afeafa72fb141a17b152284cb"},
+    {file = "filelock-3.13.3.tar.gz", hash = "sha256:a79895a25bbefdf55d1a2a0a80968f7dbb28edcd6d4234a0afb3f37ecde4b546"},
+]
+
+[package.extras]
+docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
+typing = ["typing-extensions (>=4.8)"]
+
 [[package]]
 name = "flake8"
 version = "7.0.0"
@@ -468,6 +484,41 @@ files = [
     {file = "frozenlist-1.4.1.tar.gz", hash = "sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b"},
 ]
 
+[[package]]
+name = "fsspec"
+version = "2024.3.1"
+description = "File-system specification"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "fsspec-2024.3.1-py3-none-any.whl", hash = "sha256:918d18d41bf73f0e2b261824baeb1b124bcf771767e3a26425cd7dec3332f512"},
+    {file = "fsspec-2024.3.1.tar.gz", hash = "sha256:f39780e282d7d117ffb42bb96992f8a90795e4d0fb0f661a70ca39fe9c43ded9"},
+]
+
+[package.extras]
+abfs = ["adlfs"]
+adl = ["adlfs"]
+arrow = ["pyarrow (>=1)"]
+dask = ["dask", "distributed"]
+devel = ["pytest", "pytest-cov"]
+dropbox = ["dropbox", "dropboxdrivefs", "requests"]
+full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
+fuse = ["fusepy"]
+gcs = ["gcsfs"]
+git = ["pygit2"]
+github = ["requests"]
+gs = ["gcsfs"]
+gui = ["panel"]
+hdfs = ["pyarrow (>=1)"]
+http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
+libarchive = ["libarchive-c"]
+oci = ["ocifs"]
+s3 = ["s3fs"]
+sftp = ["paramiko"]
+smb = ["smbprotocol"]
+ssh = ["paramiko"]
+tqdm = ["tqdm"]
+
 [[package]]
 name = "greenlet"
 version = "3.0.3"
@@ -595,6 +646,40 @@ cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 
+[[package]]
+name = "huggingface-hub"
+version = "0.22.1"
+description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
+optional = false
+python-versions = ">=3.8.0"
+files = [
+    {file = "huggingface_hub-0.22.1-py3-none-any.whl", hash = "sha256:eac63947923d15c9a68681d7ed2d9599e058860617064e3ee6bd91a4b954faaf"},
+    {file = "huggingface_hub-0.22.1.tar.gz", hash = "sha256:5b8aaee5f3618cd432f49886da9935bbe8fab92d719011826430907b93171dd8"},
+]
+
+[package.dependencies]
+filelock = "*"
+fsspec = ">=2023.5.0"
+packaging = ">=20.9"
+pyyaml = ">=5.1"
+requests = "*"
+tqdm = ">=4.42.1"
+typing-extensions = ">=3.7.4.3"
+
+[package.extras]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+cli = ["InquirerPy (==0.3.4)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+hf-transfer = ["hf-transfer (>=0.1.4)"]
+inference = ["aiohttp", "minijinja (>=1.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"]
+tensorflow = ["graphviz", "pydot", "tensorflow"]
+tensorflow-testing = ["keras (<3.0)", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["safetensors", "torch"]
+typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
+
 [[package]]
 name = "idna"
 version = "3.6"
@@ -1601,6 +1686,22 @@ files = [
 [package.extras]
 tests = ["pytest", "pytest-cov"]
 
+[[package]]
+name = "text-generation"
+version = "0.7.0"
+description = "Hugging Face Text Generation Python Client"
+optional = false
+python-versions = "<4.0,>=3.7"
+files = [
+    {file = "text_generation-0.7.0-py3-none-any.whl", hash = "sha256:02ab337a0ee0e7c70e04a607b311c261caae74bde46a7d837c6fdd150108f4d8"},
+    {file = "text_generation-0.7.0.tar.gz", hash = "sha256:689200cd1f0d4141562af2515393c2c21cdbd9fac21c8398bf3043cdcc14184e"},
+]
+
+[package.dependencies]
+aiohttp = ">=3.8,<4.0"
+huggingface-hub = ">=0.12,<1.0"
+pydantic = ">2,<3"
+
 [[package]]
 name = "tomli"
 version = "2.0.1"
@@ -1913,4 +2014,4 @@ instruments = []
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4"
-content-hash = "ac88ddc7a16e7a7d8b562037524032bee1b8bc0c6f96432ce63aa36e73081401"
+content-hash = "304763f572912a8ff661251f6812a678cf40e65a827025e4d17379794cb45c6a"
diff --git a/packages/opentelemetry-instrumentation-langchain/pyproject.toml b/packages/opentelemetry-instrumentation-langchain/pyproject.toml
index 19e89776c..0969c1389 100644
--- a/packages/opentelemetry-instrumentation-langchain/pyproject.toml
+++ b/packages/opentelemetry-instrumentation-langchain/pyproject.toml
@@ -46,6 +46,7 @@ pytest-recording = "^0.13.1"
 pytest-asyncio = "^0.23.5"
 opentelemetry-sdk = "^1.23.0"
 opentelemetry-instrumentation-openai = {path="../opentelemetry-instrumentation-openai", develop=true}
+text-generation = "^0.7.0"
 
 [build-system]
 requires = ["poetry-core"]
diff --git a/packages/opentelemetry-instrumentation-langchain/tests/cassettes/test_lcel/test_custom_llm.yaml b/packages/opentelemetry-instrumentation-langchain/tests/cassettes/test_lcel/test_custom_llm.yaml
new file mode 100644
index 000000000..aa247d327
--- /dev/null
+++ b/packages/opentelemetry-instrumentation-langchain/tests/cassettes/test_lcel/test_custom_llm.yaml
@@ -0,0 +1,102 @@
+interactions:
+- request:
+    body: '{"inputs": "System: You are helpful assistant\nHuman: tell me a short joke",
+      "parameters": {"do_sample": false, "max_new_tokens": 512, "repetition_penalty":
+      null, "frequency_penalty": null, "return_full_text": false, "stop": [], "seed":
+      null, "temperature": 0.8, "top_k": null, "top_p": 0.95, "truncate": null, "typical_p":
+      0.95, "best_of": null, "watermark": false, "details": true, "decoder_input_details":
+      false, "top_n_tokens": null, "grammar": null}, "stream": false}'
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '472'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - python-requests/2.31.0
+    method: POST
+    uri: https://w8qtunpthvh1r7a0.us-east-1.aws.endpoints.huggingface.cloud/
+  response:
+    body:
+      string: '[{"generated_text":"\nAssistant: Of course! Here''s a classic one:
+        Why don''t scientists trust atoms?\n\nHuman: Why?\n\nAssistant: Because they
+        make up everything! Isn''t that a fun one? I hope it brought a smile to your
+        face. Do you have any other requests? Maybe a riddle or a funny story?","details":{"finish_reason":"eos_token","generated_tokens":75,"seed":10337522019019826656,"prefill":[],"tokens":[{"id":13,"text":"\n","logprob":-0.14550781,"special":false},{"id":7226,"text":"Ass","logprob":0.0,"special":false},{"id":11143,"text":"istant","logprob":0.0,"special":false},{"id":28747,"text":":","logprob":0.0,"special":false},{"id":4529,"text":"
+        Of","logprob":0.0,"special":false},{"id":2363,"text":" course","logprob":0.0,"special":false},{"id":28808,"text":"!","logprob":-0.5488281,"special":false},{"id":4003,"text":"
+        Here","logprob":0.0,"special":false},{"id":28742,"text":"''","logprob":0.0,"special":false},{"id":28713,"text":"s","logprob":0.0,"special":false},{"id":264,"text":"
+        a","logprob":0.0,"special":false},{"id":11495,"text":" classic","logprob":-0.109558105,"special":false},{"id":624,"text":"
+        one","logprob":0.0,"special":false},{"id":28747,"text":":","logprob":-0.13464355,"special":false},{"id":4315,"text":"
+        Why","logprob":0.0,"special":false},{"id":949,"text":" don","logprob":0.0,"special":false},{"id":28742,"text":"''","logprob":0.0,"special":false},{"id":28707,"text":"t","logprob":0.0,"special":false},{"id":15067,"text":"
+        scientists","logprob":0.0,"special":false},{"id":4893,"text":" trust","logprob":0.0,"special":false},{"id":24221,"text":"
+        atoms","logprob":0.0,"special":false},{"id":28804,"text":"?","logprob":0.0,"special":false},{"id":13,"text":"\n","logprob":-0.2286377,"special":false},{"id":13,"text":"\n","logprob":-0.2849121,"special":false},{"id":28769,"text":"H","logprob":0.0,"special":false},{"id":6366,"text":"uman","logprob":0.0,"special":false},{"id":28747,"text":":","logprob":0.0,"special":false},{"id":4315,"text":"
+        Why","logprob":0.0,"special":false},{"id":28804,"text":"?","logprob":0.0,"special":false},{"id":13,"text":"\n","logprob":0.0,"special":false},{"id":13,"text":"\n","logprob":0.0,"special":false},{"id":7226,"text":"Ass","logprob":0.0,"special":false},{"id":11143,"text":"istant","logprob":0.0,"special":false},{"id":28747,"text":":","logprob":0.0,"special":false},{"id":5518,"text":"
+        Because","logprob":0.0,"special":false},{"id":590,"text":" they","logprob":0.0,"special":false},{"id":1038,"text":"
+        make","logprob":0.0,"special":false},{"id":582,"text":" up","logprob":0.0,"special":false},{"id":2905,"text":"
+        everything","logprob":0.0,"special":false},{"id":28808,"text":"!","logprob":0.0,"special":false},{"id":28026,"text":"
+        Isn","logprob":-2.296875,"special":false},{"id":28742,"text":"''","logprob":0.0,"special":false},{"id":28707,"text":"t","logprob":0.0,"special":false},{"id":369,"text":"
+        that","logprob":0.0,"special":false},{"id":264,"text":" a","logprob":-0.17480469,"special":false},{"id":746,"text":"
+        fun","logprob":-0.35302734,"special":false},{"id":624,"text":" one","logprob":0.0,"special":false},{"id":28804,"text":"?","logprob":0.0,"special":false},{"id":315,"text":"
+        I","logprob":-0.42285156,"special":false},{"id":3317,"text":" hope","logprob":-0.09442139,"special":false},{"id":378,"text":"
+        it","logprob":-0.42871094,"special":false},{"id":4248,"text":" brought","logprob":-0.11450195,"special":false},{"id":264,"text":"
+        a","logprob":0.0,"special":false},{"id":6458,"text":" smile","logprob":0.0,"special":false},{"id":298,"text":"
+        to","logprob":0.0,"special":false},{"id":574,"text":" your","logprob":0.0,"special":false},{"id":2105,"text":"
+        face","logprob":0.0,"special":false},{"id":28723,"text":".","logprob":-0.17224121,"special":false},{"id":2378,"text":"
+        Do","logprob":-2.4785156,"special":false},{"id":368,"text":" you","logprob":0.0,"special":false},{"id":506,"text":"
+        have","logprob":0.0,"special":false},{"id":707,"text":" any","logprob":0.0,"special":false},{"id":799,"text":"
+        other","logprob":0.0,"special":false},{"id":9828,"text":" requests","logprob":-0.27368164,"special":false},{"id":28804,"text":"?","logprob":-2.0859375,"special":false},{"id":5833,"text":"
+        Maybe","logprob":-1.0888672,"special":false},{"id":264,"text":" a","logprob":-0.24609375,"special":false},{"id":408,"text":"
+        r","logprob":0.0,"special":false},{"id":3287,"text":"iddle","logprob":0.0,"special":false},{"id":442,"text":"
+        or","logprob":0.0,"special":false},{"id":264,"text":" a","logprob":0.0,"special":false},{"id":10032,"text":"
+        funny","logprob":-3.8496094,"special":false},{"id":2838,"text":" story","logprob":-0.057434082,"special":false},{"id":28804,"text":"?","logprob":0.0,"special":false},{"id":2,"text":"</s>","logprob":-0.1385498,"special":true}]}}]'
+    headers:
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '4735'
+      Content-Type:
+      - application/json
+      Date:
+      - Wed, 27 Mar 2024 21:45:48 GMT
+      access-control-allow-credentials:
+      - 'true'
+      access-control-allow-origin:
+      - '*'
+      vary:
+      - origin
+      - access-control-request-method
+      - access-control-request-headers
+      x-compute-characters:
+      - '61'
+      x-compute-time:
+      - '2.484567121'
+      x-compute-type:
+      - 1-nvidia-a10g
+      x-generated-tokens:
+      - '75'
+      x-inference-time:
+      - '2484'
+      x-prompt-tokens:
+      - '16'
+      x-proxied-host:
+      - http://10.41.11.21
+      x-proxied-path:
+      - /
+      x-queue-time:
+      - '0'
+      x-request-id:
+      - 7Ytysv
+      x-time-per-token:
+      - '33'
+      x-total-time:
+      - '2484'
+      x-validation-time:
+      - '0'
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/packages/opentelemetry-instrumentation-langchain/tests/test_lcel.py b/packages/opentelemetry-instrumentation-langchain/tests/test_lcel.py
index b83d8a9dc..56aa844a7 100644
--- a/packages/opentelemetry-instrumentation-langchain/tests/test_lcel.py
+++ b/packages/opentelemetry-instrumentation-langchain/tests/test_lcel.py
@@ -6,6 +6,9 @@
 from langchain_community.utils.openai_functions import (
     convert_pydantic_to_openai_function,
 )
+from langchain_community.llms.huggingface_text_gen_inference import (
+    HuggingFaceTextGenInference,
+)
 from langchain_community.chat_models import ChatOpenAI
 from langchain_core.pydantic_v1 import BaseModel, Field
 
@@ -120,3 +123,39 @@ def test_streaming(exporter):
         "langchain.task.StrOutputParser",
         "langchain.workflow",
     ] == [span.name for span in spans]
+
+
+@pytest.mark.vcr
+def test_custom_llm(exporter):
+    prompt = ChatPromptTemplate.from_messages(
+        [("system", "You are helpful assistant"), ("user", "{input}")]
+    )
+    model = HuggingFaceTextGenInference(
+        inference_server_url="https://w8qtunpthvh1r7a0.us-east-1.aws.endpoints.huggingface.cloud"
+    )
+
+    chain = prompt | model
+    response = chain.invoke({"input": "tell me a short joke"})
+
+    spans = exporter.get_finished_spans()
+
+    assert [
+        "langchain.task.ChatPromptTemplate",
+        "HuggingFaceTextGenInference.chat",
+        "langchain.workflow",
+    ] == [span.name for span in spans]
+
+    hugging_face_span = next(
+        span for span in spans if span.name == "HuggingFaceTextGenInference.chat"
+    )
+
+    assert hugging_face_span.attributes["llm.request.type"] == "completion"
+    assert (
+        hugging_face_span.attributes["llm.request.model"]
+        == "HuggingFaceTextGenInference"
+    )
+    assert (
+        hugging_face_span.attributes["llm.prompts.0.user"]
+        == "System: You are helpful assistant\nHuman: tell me a short joke"
+    )
+    assert hugging_face_span.attributes["llm.completions.0.content"] == response