diff --git a/packages/opentelemetry-instrumentation-langchain/opentelemetry/instrumentation/langchain/__init__.py b/packages/opentelemetry-instrumentation-langchain/opentelemetry/instrumentation/langchain/__init__.py
index 3d39ba3077..096fc2bee9 100644
--- a/packages/opentelemetry-instrumentation-langchain/opentelemetry/instrumentation/langchain/__init__.py
+++ b/packages/opentelemetry-instrumentation-langchain/opentelemetry/instrumentation/langchain/__init__.py
@@ -21,6 +21,10 @@
     llm_wrapper,
     allm_wrapper,
 )
+from opentelemetry.instrumentation.langchain.custom_chat_wrapper import (
+    chat_wrapper,
+    achat_wrapper,
+)
 from opentelemetry.instrumentation.langchain.version import __version__
 
 from opentelemetry.semconv.ai import TraceloopSpanKindValues
@@ -101,14 +105,14 @@
     {
         "package": "langchain.chat_models.base",
         "object": "BaseChatModel",
-        "method": "invoke",
-        "wrapper": task_wrapper,
+        "method": "generate",
+        "wrapper": chat_wrapper,
     },
     {
         "package": "langchain.chat_models.base",
         "object": "BaseChatModel",
-        "method": "ainvoke",
-        "wrapper": atask_wrapper,
+        "method": "agenerate",
+        "wrapper": achat_wrapper,
     },
     {
         "package": "langchain.schema",
diff --git a/packages/opentelemetry-instrumentation-langchain/opentelemetry/instrumentation/langchain/custom_chat_wrapper.py b/packages/opentelemetry-instrumentation-langchain/opentelemetry/instrumentation/langchain/custom_chat_wrapper.py
new file mode 100644
index 0000000000..4d5feda149
--- /dev/null
+++ b/packages/opentelemetry-instrumentation-langchain/opentelemetry/instrumentation/langchain/custom_chat_wrapper.py
@@ -0,0 +1,66 @@
+import json
+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 chat_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"langchain.task.{instance.__class__.__name__}"
+    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 achat_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"langchain.task.{instance.__class__.__name__}"
+    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):
+    model = instance.model if hasattr(instance, "model") else instance.model_name
+    span.set_attribute(SpanAttributes.LLM_REQUEST_TYPE, LLMRequestTypeValues.CHAT.value)
+    span.set_attribute(SpanAttributes.LLM_REQUEST_MODEL, model)
+    span.set_attribute(SpanAttributes.LLM_RESPONSE_MODEL, model)
+
+    if should_send_prompts():
+        for idx, prompt in enumerate(args[0][0]):
+            if isinstance(prompt.content, list):
+                span.set_attribute(
+                    f"{SpanAttributes.LLM_PROMPTS}.{idx}.user",
+                    json.dumps(prompt.content),
+                )
+            else:
+                span.set_attribute(
+                    f"{SpanAttributes.LLM_PROMPTS}.{idx}.user", prompt.content
+                )
+
+
+def _handle_response(span, 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/poetry.lock b/packages/opentelemetry-instrumentation-langchain/poetry.lock
index 2c407058ac..4601747f03 100644
--- a/packages/opentelemetry-instrumentation-langchain/poetry.lock
+++ b/packages/opentelemetry-instrumentation-langchain/poetry.lock
@@ -121,6 +121,30 @@ files = [
     {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
 ]
 
+[[package]]
+name = "anthropic"
+version = "0.21.3"
+description = "The official Python library for the anthropic API"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "anthropic-0.21.3-py3-none-any.whl", hash = "sha256:5869115453b543a46ded6515c9f29b8d610b6e94bbba3230ad80ac947d2b0862"},
+    {file = "anthropic-0.21.3.tar.gz", hash = "sha256:02f1ab5694c497e2b2d42d30d51a4f2edcaca92d2ec86bb64fe78a9c7434a869"},
+]
+
+[package.dependencies]
+anyio = ">=3.5.0,<5"
+distro = ">=1.7.0,<2"
+httpx = ">=0.23.0,<1"
+pydantic = ">=1.9.0,<3"
+sniffio = "*"
+tokenizers = ">=0.13.0"
+typing-extensions = ">=4.7,<5"
+
+[package.extras]
+bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"]
+vertex = ["google-auth (>=2,<3)"]
+
 [[package]]
 name = "anyio"
 version = "4.3.0"
@@ -603,13 +627,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "1.0.4"
+version = "1.0.5"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "httpcore-1.0.4-py3-none-any.whl", hash = "sha256:ac418c1db41bade2ad53ae2f3834a3a0f5ae76b56cf5aa497d2d033384fc7d73"},
-    {file = "httpcore-1.0.4.tar.gz", hash = "sha256:cb2839ccfcba0d2d3c1131d3c3e26dfc327326fbe7a5dc0dbfe9f6c9151bb022"},
+    {file = "httpcore-1.0.5-py3-none-any.whl", hash = "sha256:421f18bac248b25d310f3cacd198d55b8e6125c107797b609ff9b7a6ba7991b5"},
+    {file = "httpcore-1.0.5.tar.gz", hash = "sha256:34a38e2f9291467ee3b44e89dd52615370e152954ba21721378a87b2960f7a61"},
 ]
 
 [package.dependencies]
@@ -620,7 +644,7 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.25.0)"]
+trio = ["trio (>=0.22.0,<0.26.0)"]
 
 [[package]]
 name = "httpx"
@@ -648,13 +672,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.22.1"
+version = "0.22.2"
 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"},
+    {file = "huggingface_hub-0.22.2-py3-none-any.whl", hash = "sha256:3429e25f38ccb834d310804a3b711e7e4953db5a9e420cc147a5e194ca90fd17"},
+    {file = "huggingface_hub-0.22.2.tar.gz", hash = "sha256:32e9a9a6843c92f253ff9ca16b9985def4d80a93fb357af5353f770ef74a81be"},
 ]
 
 [package.dependencies]
@@ -693,13 +717,13 @@ files = [
 
 [[package]]
 name = "importlib-metadata"
-version = "6.11.0"
+version = "7.0.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-6.11.0-py3-none-any.whl", hash = "sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b"},
-    {file = "importlib_metadata-6.11.0.tar.gz", hash = "sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443"},
+    {file = "importlib_metadata-7.0.0-py3-none-any.whl", hash = "sha256:d97503976bb81f40a193d41ee6570868479c69d5068651eb039c40d850c59d67"},
+    {file = "importlib_metadata-7.0.0.tar.gz", hash = "sha256:7fc841f8b8332803464e5dc1c63a2e59121f46ca186c0e2e182e80bf8c1319f7"},
 ]
 
 [package.dependencies]
@@ -748,13 +772,13 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.1.11"
+version = "0.1.13"
 description = "Building applications with LLMs through composability"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain-0.1.11-py3-none-any.whl", hash = "sha256:b5e678ac50d85370b9bc28f2c97ad5f029aac1c0cca79cac9354adf72741bc6e"},
-    {file = "langchain-0.1.11.tar.gz", hash = "sha256:03f08cae7cd3f341c54f1042b3fe24d88f39eba7b7eda942735d8ced13fe6da9"},
+    {file = "langchain-0.1.13-py3-none-any.whl", hash = "sha256:c87657021b777d6b07e55be379a28660a1cd148c31593569869dd6b0b4cab945"},
+    {file = "langchain-0.1.13.tar.gz", hash = "sha256:db330aa79c33501cb1ed97ff465f7645813eaa6cfd742c61e19c2d48e4aaba18"},
 ]
 
 [package.dependencies]
@@ -762,8 +786,8 @@ aiohttp = ">=3.8.3,<4.0.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
 dataclasses-json = ">=0.5.7,<0.7"
 jsonpatch = ">=1.33,<2.0"
-langchain-community = ">=0.0.25,<0.1"
-langchain-core = ">=0.1.29,<0.2"
+langchain-community = ">=0.0.29,<0.1"
+langchain-core = ">=0.1.33,<0.2.0"
 langchain-text-splitters = ">=0.0.1,<0.1"
 langsmith = ">=0.1.17,<0.2.0"
 numpy = ">=1,<2"
@@ -815,13 +839,13 @@ extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.
 
 [[package]]
 name = "langchain-core"
-version = "0.1.35"
+version = "0.1.39"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_core-0.1.35-py3-none-any.whl", hash = "sha256:9d790446ea211f4cb620886081cc5a5723bc9a2dc90af1f6205aded2ee61bb71"},
-    {file = "langchain_core-0.1.35.tar.gz", hash = "sha256:862b8415d4deaf4e06833ef826bcef3614d75c3e7fd82b09b1349cc223f02e9a"},
+    {file = "langchain_core-0.1.39-py3-none-any.whl", hash = "sha256:26b024ef49c5a712611941651bff66fb9a2fd7bc82bd815934c94f0ecf9b6f03"},
+    {file = "langchain_core-0.1.39.tar.gz", hash = "sha256:a34bd517dcd9b7e80adf131ee47554736f9532e1bba17593cd0a316a38ec2caf"},
 ]
 
 [package.dependencies]
@@ -830,7 +854,6 @@ langsmith = ">=0.1.0,<0.2.0"
 packaging = ">=23.2,<24.0"
 pydantic = ">=1,<3"
 PyYAML = ">=5.3"
-requests = ">=2,<3"
 tenacity = ">=8.1.0,<9.0.0"
 
 [package.extras]
@@ -855,13 +878,13 @@ extended-testing = ["lxml (>=5.1.0,<6.0.0)"]
 
 [[package]]
 name = "langsmith"
-version = "0.1.27"
+version = "0.1.39"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.27-py3-none-any.whl", hash = "sha256:d223176952b1525c958189ab1b894f5bd9891ec9177222f7a978aeee4bf1cc95"},
-    {file = "langsmith-0.1.27.tar.gz", hash = "sha256:e0a339d976362051adf3fdbc43fcc7c00bb4615a401321ad7e556bd2dab556c0"},
+    {file = "langsmith-0.1.39-py3-none-any.whl", hash = "sha256:85c19177162585728001cb7ae91ab48ca4abe39b7bc1ff783212ac426ded222b"},
+    {file = "langsmith-0.1.39.tar.gz", hash = "sha256:2aec9d2f9cc664042d2121b13da569b0902aff842c86b17b440245d57da84ec5"},
 ]
 
 [package.dependencies]
@@ -1056,13 +1079,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.14.1"
+version = "1.16.1"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-1.14.1-py3-none-any.whl", hash = "sha256:f9322b0bf3b82bbd06930fad535369a023f35a3a96d3ef0b827644a15d7aae97"},
-    {file = "openai-1.14.1.tar.gz", hash = "sha256:1fab5dd623cdc0c7c6e7da5d8d11fa6900f94191c2dfb6510d7eac33195fa175"},
+    {file = "openai-1.16.1-py3-none-any.whl", hash = "sha256:77ef3db6110071f7154859e234250fb945a36554207a30a4491092eadb73fcb5"},
+    {file = "openai-1.16.1.tar.gz", hash = "sha256:58922c785d167458b46e3c76e7b1bc2306f313ee9b71791e84cbf590abe160f2"},
 ]
 
 [package.dependencies]
@@ -1170,61 +1193,62 @@ files = [
 
 [[package]]
 name = "orjson"
-version = "3.9.15"
+version = "3.10.0"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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 huggingface-hub = ">=0.12,<1.0"
 pydantic = ">2,<3"
 
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+    {file = "tokenizers-0.15.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:4b19a808d8799fda23504a5cd31d2f58e6f52f140380082b352f877017d6342b"},
+    {file = "tokenizers-0.15.2-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:64c86e5e068ac8b19204419ed8ca90f9d25db20578f5881e337d203b314f4104"},
+    {file = "tokenizers-0.15.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:de19c4dc503c612847edf833c82e9f73cd79926a384af9d801dcf93f110cea4e"},
+    {file = "tokenizers-0.15.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ea09acd2fe3324174063d61ad620dec3bcf042b495515f27f638270a7d466e8b"},
+    {file = "tokenizers-0.15.2-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:cf27fd43472e07b57cf420eee1e814549203d56de00b5af8659cb99885472f1f"},
+    {file = "tokenizers-0.15.2-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:7ca22bd897537a0080521445d91a58886c8c04084a6a19e6c78c586e0cfa92a5"},
+    {file = "tokenizers-0.15.2.tar.gz", hash = "sha256:e6e9c6e019dd5484be5beafc775ae6c925f4c69a3487040ed09b45e13df2cb91"},
+]
+
+[package.dependencies]
+huggingface_hub = ">=0.16.4,<1.0"
+
+[package.extras]
+dev = ["tokenizers[testing]"]
+docs = ["setuptools_rust", "sphinx", "sphinx_rtd_theme"]
+testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
+
 [[package]]
 name = "tomli"
 version = "2.0.1"
@@ -2014,4 +2165,4 @@ instruments = []
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4"
-content-hash = "5a3f9b9c8d89e8a8657889f889e1fdb1a3cc4c009aac0de79948a57afc5fa29a"
+content-hash = "7a1d31d53bd3f33cdea08bc8e4e4af0906d651460fb1af88229fc5b5dd530c37"
diff --git a/packages/opentelemetry-instrumentation-langchain/pyproject.toml b/packages/opentelemetry-instrumentation-langchain/pyproject.toml
index 15e7af18f7..8f4811e2b8 100644
--- a/packages/opentelemetry-instrumentation-langchain/pyproject.toml
+++ b/packages/opentelemetry-instrumentation-langchain/pyproject.toml
@@ -48,6 +48,7 @@ pytest-asyncio = "^0.23.5"
 opentelemetry-sdk = "^1.23.0"
 opentelemetry-instrumentation-openai = {path="../opentelemetry-instrumentation-openai", develop=true}
 text-generation = "^0.7.0"
+anthropic = "^0.21.3"
 
 [build-system]
 requires = ["poetry-core"]
diff --git a/packages/opentelemetry-instrumentation-langchain/tests/cassettes/test_lcel/test_anthropic.yaml b/packages/opentelemetry-instrumentation-langchain/tests/cassettes/test_lcel/test_anthropic.yaml
new file mode 100644
index 0000000000..48d58a5f90
--- /dev/null
+++ b/packages/opentelemetry-instrumentation-langchain/tests/cassettes/test_lcel/test_anthropic.yaml
@@ -0,0 +1,71 @@
+interactions:
+- request:
+    body: '{"max_tokens_to_sample": 256, "model": "claude-2", "prompt": "You are helpful
+      assistant\n\nHuman: tell me a short joke\n\nAssistant:"}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate
+      anthropic-version:
+      - '2023-06-01'
+      connection:
+      - keep-alive
+      content-length:
+      - '134'
+      content-type:
+      - application/json
+      host:
+      - api.anthropic.com
+      user-agent:
+      - Anthropic/Python 0.21.3
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 0.21.3
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.1
+    method: POST
+    uri: https://api.anthropic.com/v1/complete
+  response:
+    body:
+      string: !!binary |
+        H4sIAAAAAAAAA4yPsQoCMRBEf2XdxiaKdwriNYJYWImFehbCEZM9DeSSaDbKIf67KAqWljPwHjN3
+        5DYQFqh8Eyyx8Q4FGv1tqkG2zid5s1oMl7Gc16PruOTtZrVD8YsUCOWpBSVdl0HCwahWWYLI0mlI
+        AQ4tGI5k6ynMSMkUCQx3I/DN99hcSHdQYGQfqgvJ+Ba+U6RzIqcIBTZek33NsjJp6uX97INggXu3
+        d4vUSFegQOuP1T8HHk8AAAD//wMAyuHvxvwAAAA=
+    headers:
+      CF-Cache-Status:
+      - DYNAMIC
+      CF-RAY:
+      - 86ea44843f83a25f-FCO
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Wed, 03 Apr 2024 15:59:46 GMT
+      Server:
+      - cloudflare
+      Transfer-Encoding:
+      - chunked
+      request-id:
+      - req_01DTh7TraXq8NmQxhiz1yaBU
+      via:
+      - 1.1 google
+      x-cloud-trace-context:
+      - 0d9db74e18924fe257bdf146f49bd918
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/packages/opentelemetry-instrumentation-langchain/tests/conftest.py b/packages/opentelemetry-instrumentation-langchain/tests/conftest.py
index de2fd117e2..7f33eecd5f 100644
--- a/packages/opentelemetry-instrumentation-langchain/tests/conftest.py
+++ b/packages/opentelemetry-instrumentation-langchain/tests/conftest.py
@@ -35,8 +35,9 @@ def clear_exporter(exporter):
 @pytest.fixture(autouse=True)
 def environment():
     os.environ["OPENAI_API_KEY"] = "test_api_key"
+    os.environ["ANTHROPIC_API_KEY"] = "test"
 
 
 @pytest.fixture(scope="module")
 def vcr_config():
-    return {"filter_headers": ["authorization"]}
+    return {"filter_headers": ["authorization", "x-api-key"]}
diff --git a/packages/opentelemetry-instrumentation-langchain/tests/test_lcel.py b/packages/opentelemetry-instrumentation-langchain/tests/test_lcel.py
index 56aa844a7a..74b74cfae8 100644
--- a/packages/opentelemetry-instrumentation-langchain/tests/test_lcel.py
+++ b/packages/opentelemetry-instrumentation-langchain/tests/test_lcel.py
@@ -9,7 +9,7 @@
 from langchain_community.llms.huggingface_text_gen_inference import (
     HuggingFaceTextGenInference,
 )
-from langchain_community.chat_models import ChatOpenAI
+from langchain_community.chat_models import ChatOpenAI, ChatAnthropic
 from langchain_core.pydantic_v1 import BaseModel, Field
 
 
@@ -159,3 +159,33 @@ def test_custom_llm(exporter):
         == "System: You are helpful assistant\nHuman: tell me a short joke"
     )
     assert hugging_face_span.attributes["llm.completions.0.content"] == response
+
+
+@pytest.mark.vcr
+def test_anthropic(exporter):
+    prompt = ChatPromptTemplate.from_messages(
+        [("system", "You are helpful assistant"), ("user", "{input}")]
+    )
+    model = ChatAnthropic(model="claude-2")
+
+    chain = prompt | model
+    response = chain.invoke({"input": "tell me a short joke"})
+
+    spans = exporter.get_finished_spans()
+
+    assert [
+        "langchain.task.ChatPromptTemplate",
+        "langchain.task.ChatAnthropic",
+        "langchain.workflow",
+    ] == [span.name for span in spans]
+
+    anthropic_span = next(
+        span for span in spans if span.name == "langchain.task.ChatAnthropic"
+    )
+
+    assert anthropic_span.attributes["llm.request.type"] == "chat"
+    assert anthropic_span.attributes["llm.request.model"] == "claude-2"
+    assert (
+        anthropic_span.attributes["llm.prompts.0.user"] == "You are helpful assistant"
+    )
+    assert anthropic_span.attributes["llm.completions.0.content"] == response.content