From 889dbabfe9c06a61c0e3788eb3e294c97e5e28d4 Mon Sep 17 00:00:00 2001
From: Nir Gazit <nirga@users.noreply.github.com>
Date: Mon, 6 May 2024 21:27:40 +0200
Subject: [PATCH] fix(langchain): support model-specific packages

---
 .../langchain/custom_chat_wrapper.py          |    1 +
 .../poetry.lock                               | 1026 ++++++++++-------
 .../pyproject.toml                            |    7 +-
 .../cassettes/test_lcel/test_anthropic.yaml   |   29 +-
 .../tests/test_chains.py                      |    5 +-
 .../tests/test_lcel.py                        |   11 +-
 .../openai/shared/chat_wrappers.py            |  289 +++--
 packages/sample-app/poetry.lock               |   24 +-
 packages/sample-app/pyproject.toml            |    1 +
 .../sample-app/sample_app/langchain_lcel.py   |    2 +-
 10 files changed, 784 insertions(+), 611 deletions(-)

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
index 3aedffe99..f83c25e3e 100644
--- a/packages/opentelemetry-instrumentation-langchain/opentelemetry/instrumentation/langchain/custom_chat_wrapper.py
+++ b/packages/opentelemetry-instrumentation-langchain/opentelemetry/instrumentation/langchain/custom_chat_wrapper.py
@@ -73,6 +73,7 @@ def _handle_request(span, args, kwargs, instance):
                 )
 
 
+@dont_throw
 def _handle_response(span, return_value):
     if should_send_prompts():
         for idx, generation in enumerate(return_value.generations):
diff --git a/packages/opentelemetry-instrumentation-langchain/poetry.lock b/packages/opentelemetry-instrumentation-langchain/poetry.lock
index 0525d293d..8161e58ed 100644
--- a/packages/opentelemetry-instrumentation-langchain/poetry.lock
+++ b/packages/opentelemetry-instrumentation-langchain/poetry.lock
@@ -2,87 +2,87 @@
 
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 name = "aiohttp"
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 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -123,13 +123,13 @@ files = [
 
 [[package]]
 name = "anthropic"
-version = "0.21.3"
+version = "0.23.1"
 description = "The official Python library for the anthropic API"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -233,13 +233,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.34.88"
+version = "1.34.98"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -376,19 +376,30 @@ files = [
 
 [[package]]
 name = "dataclasses-json"
-version = "0.6.4"
+version = "0.6.5"
 description = "Easily serialize dataclasses to and from JSON."
 optional = false
-python-versions = ">=3.7,<4.0"
+python-versions = "<4.0,>=3.7"
 files = [
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 ]
 
 [package.dependencies]
 marshmallow = ">=3.18.0,<4.0.0"
 typing-inspect = ">=0.4.0,<1"
 
+[[package]]
+name = "defusedxml"
+version = "0.7.1"
+description = "XML bomb protection for Python stdlib modules"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
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+]
+
 [[package]]
 name = "deprecated"
 version = "1.2.14"
@@ -419,13 +430,13 @@ files = [
 
 [[package]]
 name = "exceptiongroup"
-version = "1.2.0"
+version = "1.2.1"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
@@ -433,13 +444,13 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "filelock"
-version = "3.13.3"
+version = "3.14.0"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "filelock-3.13.3.tar.gz", hash = "sha256:a79895a25bbefdf55d1a2a0a80968f7dbb28edcd6d4234a0afb3f37ecde4b546"},
+    {file = "filelock-3.14.0-py3-none-any.whl", hash = "sha256:43339835842f110ca7ae60f1e1c160714c5a6afd15a2873419ab185334975c0f"},
+    {file = "filelock-3.14.0.tar.gz", hash = "sha256:6ea72da3be9b8c82afd3edcf99f2fffbb5076335a5ae4d03248bb5b6c3eae78a"},
 ]
 
 [package.extras]
@@ -713,13 +724,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.22.2"
+version = "0.23.0"
 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-0.22.2-py3-none-any.whl", hash = "sha256:3429e25f38ccb834d310804a3b711e7e4953db5a9e420cc147a5e194ca90fd17"},
-    {file = "huggingface_hub-0.22.2.tar.gz", hash = "sha256:32e9a9a6843c92f253ff9ca16b9985def4d80a93fb357af5353f770ef74a81be"},
+    {file = "huggingface_hub-0.23.0-py3-none-any.whl", hash = "sha256:075c30d48ee7db2bba779190dc526d2c11d422aed6f9044c5e2fdc2c432fdb91"},
+    {file = "huggingface_hub-0.23.0.tar.gz", hash = "sha256:7126dedd10a4c6fac796ced4d87a8cf004efc722a5125c2c09299017fa366fa9"},
 ]
 
 [package.dependencies]
@@ -732,16 +743,16 @@ 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)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "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)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "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)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "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)"]
 
@@ -863,6 +874,22 @@ openai = ["openai (<2)", "tiktoken (>=0.3.2,<0.6.0)"]
 qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
 text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
+[[package]]
+name = "langchain-anthropic"
+version = "0.1.11"
+description = "An integration package connecting AnthropicMessages and LangChain"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langchain_anthropic-0.1.11-py3-none-any.whl", hash = "sha256:21a9b72e14292f5f97d8a21ae1b3d799ff4d541fadc327deb7df62f1c96513a1"},
+    {file = "langchain_anthropic-0.1.11.tar.gz", hash = "sha256:b00e01cb22dbfd6a111f2c713f0a056770ae6fb677c9271998d0e360e25c3d12"},
+]
+
+[package.dependencies]
+anthropic = ">=0.23.0,<1"
+defusedxml = ">=0.7.1,<0.8.0"
+langchain-core = ">=0.1.43,<0.2.0"
+
 [[package]]
 name = "langchain-community"
 version = "0.0.29"
@@ -891,13 +918,13 @@ extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.
 
 [[package]]
 name = "langchain-core"
-version = "0.1.39"
+version = "0.1.51"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_core-0.1.39-py3-none-any.whl", hash = "sha256:26b024ef49c5a712611941651bff66fb9a2fd7bc82bd815934c94f0ecf9b6f03"},
-    {file = "langchain_core-0.1.39.tar.gz", hash = "sha256:a34bd517dcd9b7e80adf131ee47554736f9532e1bba17593cd0a316a38ec2caf"},
+    {file = "langchain_core-0.1.51-py3-none-any.whl", hash = "sha256:3058bdb04d43a8eaae2e249365fe2e8d0356a09c7b2c1afa1a8100f8888da4fa"},
+    {file = "langchain_core-0.1.51.tar.gz", hash = "sha256:f7ea116f939be9e74c385baf95d6c84cd7a402b59c2c1893fc054bf98abbefc2"},
 ]
 
 [package.dependencies]
@@ -911,6 +938,22 @@ tenacity = ">=8.1.0,<9.0.0"
 [package.extras]
 extended-testing = ["jinja2 (>=3,<4)"]
 
+[[package]]
+name = "langchain-openai"
+version = "0.1.6"
+description = "An integration package connecting OpenAI and LangChain"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langchain_openai-0.1.6-py3-none-any.whl", hash = "sha256:7f62ecb12d3cdd0d96679abea00e4e3ceb1f829f6d1f127a5f7b97c1315d157f"},
+    {file = "langchain_openai-0.1.6.tar.gz", hash = "sha256:7d2e838e57ef231cb7689fd58ac5fa8a6e9e504174f8c5698c837739786e2030"},
+]
+
+[package.dependencies]
+langchain-core = ">=0.1.46,<0.2.0"
+openai = ">=1.24.0,<2.0.0"
+tiktoken = ">=0.5.2,<1"
+
 [[package]]
 name = "langchain-text-splitters"
 version = "0.0.1"
@@ -930,13 +973,13 @@ extended-testing = ["lxml (>=5.1.0,<6.0.0)"]
 
 [[package]]
 name = "langsmith"
-version = "0.1.39"
+version = "0.1.54"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.39-py3-none-any.whl", hash = "sha256:85c19177162585728001cb7ae91ab48ca4abe39b7bc1ff783212ac426ded222b"},
-    {file = "langsmith-0.1.39.tar.gz", hash = "sha256:2aec9d2f9cc664042d2121b13da569b0902aff842c86b17b440245d57da84ec5"},
+    {file = "langsmith-0.1.54-py3-none-any.whl", hash = "sha256:e8ba2758dbdff0fccb35337c28a5ab641dd980b22e178d390b72a15c9ae9caff"},
+    {file = "langsmith-0.1.54.tar.gz", hash = "sha256:86f5a90e48303de897f37a893f8bb635eabdaf23e674099e8bc0f2e9ca2f8faf"},
 ]
 
 [package.dependencies]
@@ -946,13 +989,13 @@ requests = ">=2,<3"
 
 [[package]]
 name = "marshmallow"
-version = "3.21.1"
+version = "3.21.2"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "marshmallow-3.21.1.tar.gz", hash = "sha256:4e65e9e0d80fc9e609574b9983cf32579f305c718afb30d7233ab818571768c3"},
+    {file = "marshmallow-3.21.2-py3-none-any.whl", hash = "sha256:70b54a6282f4704d12c0a41599682c5c5450e843b9ec406308653b47c59648a1"},
+    {file = "marshmallow-3.21.2.tar.gz", hash = "sha256:82408deadd8b33d56338d2182d455db632c6313aa2af61916672146bb32edc56"},
 ]
 
 [package.dependencies]
@@ -960,7 +1003,7 @@ packaging = ">=17.0"
 
 [package.extras]
 dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"]
-docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.2.6)", "sphinx-issues (==4.0.0)", "sphinx-version-warning (==1.1.2)"]
+docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"]
 tests = ["pytest", "pytz", "simplejson"]
 
 [[package]]
@@ -1131,13 +1174,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.23.2"
+version = "1.26.0"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
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+    {file = "openai-1.26.0-py3-none-any.whl", hash = "sha256:884ced523fb0225780f8b0e0ed6f7e014049c32d049a41ad0ac962869f1055d1"},
+    {file = "openai-1.26.0.tar.gz", hash = "sha256:642e857b60855702ee6ff665e8fa80946164f77b92e58fd24e01b545685b8405"},
 ]
 
 [package.dependencies]
@@ -1185,7 +1228,7 @@ wrapt = ">=1.0.0,<2.0.0"
 
 [[package]]
 name = "opentelemetry-instrumentation-openai"
-version = "0.16.9"
+version = "0.17.1"
 description = "OpenTelemetry OpenAI instrumentation"
 optional = false
 python-versions = ">=3.9,<4"
@@ -1245,62 +1288,57 @@ files = [
 
 [[package]]
 name = "orjson"
-version = "3.10.0"
+version = "3.10.3"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -1820,132 +1946,174 @@ aiohttp = ">=3.8,<4.0"
 huggingface-hub = ">=0.12,<1.0"
 pydantic = ">2,<3"
 
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+    {file = "tokenizers-0.19.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f8a9c828277133af13f3859d1b6bf1c3cb6e9e1637df0e45312e6b7c2e622b1f"},
+    {file = "tokenizers-0.19.1.tar.gz", hash = "sha256:ee59e6680ed0fdbe6b724cf38bd70400a0c1dd623b07ac729087270caeac88e3"},
 ]
 
 [package.dependencies]
-huggingface_hub = ">=0.16.4,<1.0"
+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"]
+docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
+testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
 
 [[package]]
 name = "tomli"
@@ -1960,13 +2128,13 @@ files = [
 
 [[package]]
 name = "tqdm"
-version = "4.66.2"
+version = "4.66.4"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.66.2-py3-none-any.whl", hash = "sha256:1ee4f8a893eb9bef51c6e35730cebf234d5d0b6bd112b0271e10ed7c24a02bd9"},
-    {file = "tqdm-4.66.2.tar.gz", hash = "sha256:6cd52cdf0fef0e0f543299cfc96fec90d7b8a7e88745f411ec33eb44d5ed3531"},
+    {file = "tqdm-4.66.4-py3-none-any.whl", hash = "sha256:b75ca56b413b030bc3f00af51fd2c1a1a5eac6a0c1cca83cbb37a5c52abce644"},
+    {file = "tqdm-4.66.4.tar.gz", hash = "sha256:e4d936c9de8727928f3be6079590e97d9abfe8d39a590be678eb5919ffc186bb"},
 ]
 
 [package.dependencies]
@@ -1980,13 +2148,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "typing-extensions"
-version = "4.10.0"
+version = "4.11.0"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.10.0-py3-none-any.whl", hash = "sha256:69b1a937c3a517342112fb4c6df7e72fc39a38e7891a5730ed4985b5214b5475"},
-    {file = "typing_extensions-4.10.0.tar.gz", hash = "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb"},
+    {file = "typing_extensions-4.11.0-py3-none-any.whl", hash = "sha256:c1f94d72897edaf4ce775bb7558d5b79d8126906a14ea5ed1635921406c0387a"},
+    {file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"},
 ]
 
 [[package]]
@@ -2259,4 +2427,4 @@ instruments = []
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4"
-content-hash = "8fdf40155156c65c84fc85ce2444e64f9e70cddded4e6874725d89a96a0c3d43"
+content-hash = "57ec3ca92361a8717d0124b671a009996ed9bb667f409fb39e97e4d8fdc5d209"
diff --git a/packages/opentelemetry-instrumentation-langchain/pyproject.toml b/packages/opentelemetry-instrumentation-langchain/pyproject.toml
index a01c0ca51..3db896e74 100644
--- a/packages/opentelemetry-instrumentation-langchain/pyproject.toml
+++ b/packages/opentelemetry-instrumentation-langchain/pyproject.toml
@@ -39,7 +39,7 @@ pytest-sugar = "1.0.0"
 [tool.poetry.group.test.dependencies]
 langchain = "^0.1.6"
 langchain-community = ">=0.0.19,<0.0.30"
-openai = "^1.12.0"
+openai = "^1.26.0"
 pytest = "8.1.1"
 pytest-sugar = "1.0.0"
 vcrpy = "^6.0.1"
@@ -48,8 +48,11 @@ 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"
+anthropic = "^0.23.0"
 boto3 = "1.34.88"
+langchain-anthropic = "^0.1.11"
+langchain-openai = "^0.1.6"
+pydantic = "^2.7.1"
 
 [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
index 48d58a5f9..8929e818c 100644
--- a/packages/opentelemetry-instrumentation-langchain/tests/cassettes/test_lcel/test_anthropic.yaml
+++ b/packages/opentelemetry-instrumentation-langchain/tests/cassettes/test_lcel/test_anthropic.yaml
@@ -1,7 +1,7 @@
 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:"}'
+    body: '{"max_tokens": 1024, "messages": [{"role": "user", "content": "tell me
+      a short joke"}], "model": "claude-2.1", "system": "You are a helpful assistant"}'
     headers:
       accept:
       - application/json
@@ -12,13 +12,13 @@ interactions:
       connection:
       - keep-alive
       content-length:
-      - '134'
+      - '151'
       content-type:
       - application/json
       host:
       - api.anthropic.com
       user-agent:
-      - Anthropic/Python 0.21.3
+      - Anthropic/Python 0.23.1
       x-stainless-arch:
       - arm64
       x-stainless-async:
@@ -28,25 +28,26 @@ interactions:
       x-stainless-os:
       - MacOS
       x-stainless-package-version:
-      - 0.21.3
+      - 0.23.1
       x-stainless-runtime:
       - CPython
       x-stainless-runtime-version:
       - 3.12.1
     method: POST
-    uri: https://api.anthropic.com/v1/complete
+    uri: https://api.anthropic.com/v1/messages
   response:
     body:
       string: !!binary |
-        H4sIAAAAAAAAA4yPsQoCMRBEf2XdxiaKdwriNYJYWImFehbCEZM9DeSSaDbKIf67KAqWljPwHjN3
-        5DYQFqh8Eyyx8Q4FGv1tqkG2zid5s1oMl7Gc16PruOTtZrVD8YsUCOWpBSVdl0HCwahWWYLI0mlI
-        AQ4tGI5k6ynMSMkUCQx3I/DN99hcSHdQYGQfqgvJ+Ba+U6RzIqcIBTZek33NsjJp6uX97INggXu3
-        d4vUSFegQOuP1T8HHk8AAAD//wMAyuHvxvwAAAA=
+        H4sIAAAAAAAAA0yOQUvDQBSE/8o6l162YnKR7kUoRQ+iBxU8iITN5rVd3L6NeW/REPLfJUXB08DH
+        MPNNiB0cTnJorqrr/cPd5vlpd/uyPYZdFVt9rPgeFjr2tLRIxB8IFkNOC/AiUdSzwuKUO0pwCMmX
+        jtb1ZQUL0dw3Qp+FOBAcl5QsynnETYjcF200fxALXLWxyEX/o7qeLUJmJVa4t+lPROl7uTyHw+tx
+        NMHzSo03bQxjSGQWq86U3rSjiSqU9jdmS8EXIRN1JUa/8lrjQN0F5vdf0YG8ZIYDcddoGRjzDwAA
+        AP//AwA2hEUeIAEAAA==
     headers:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 86ea44843f83a25f-FCO
+      - 87fa0a2f4b0aa262-FCO
       Connection:
       - keep-alive
       Content-Encoding:
@@ -54,17 +55,17 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Wed, 03 Apr 2024 15:59:46 GMT
+      - Mon, 06 May 2024 15:35:23 GMT
       Server:
       - cloudflare
       Transfer-Encoding:
       - chunked
       request-id:
-      - req_01DTh7TraXq8NmQxhiz1yaBU
+      - req_012wguUscCHQRvnAiUd8QZva
       via:
       - 1.1 google
       x-cloud-trace-context:
-      - 0d9db74e18924fe257bdf146f49bd918
+      - 96a20b8ab03b5b4d4f4ab009279e6fe8
     status:
       code: 200
       message: OK
diff --git a/packages/opentelemetry-instrumentation-langchain/tests/test_chains.py b/packages/opentelemetry-instrumentation-langchain/tests/test_chains.py
index c9cc89ff7..ab1009d84 100644
--- a/packages/opentelemetry-instrumentation-langchain/tests/test_chains.py
+++ b/packages/opentelemetry-instrumentation-langchain/tests/test_chains.py
@@ -1,8 +1,7 @@
 import pytest
 from langchain.prompts import PromptTemplate
-from langchain_community.llms.openai import OpenAI
-from langchain import LLMChain
-from langchain.chains import SequentialChain
+from langchain.chains import SequentialChain, LLMChain
+from langchain_openai import OpenAI
 
 
 @pytest.mark.vcr
diff --git a/packages/opentelemetry-instrumentation-langchain/tests/test_lcel.py b/packages/opentelemetry-instrumentation-langchain/tests/test_lcel.py
index dd917abdd..559d18d82 100644
--- a/packages/opentelemetry-instrumentation-langchain/tests/test_lcel.py
+++ b/packages/opentelemetry-instrumentation-langchain/tests/test_lcel.py
@@ -11,7 +11,9 @@
 from langchain_community.llms.huggingface_text_gen_inference import (
     HuggingFaceTextGenInference,
 )
-from langchain_community.chat_models import BedrockChat, ChatOpenAI, ChatAnthropic
+from langchain_community.chat_models import BedrockChat
+from langchain_openai import ChatOpenAI
+from langchain_anthropic import ChatAnthropic
 from langchain_core.pydantic_v1 import BaseModel, Field
 import boto3
 
@@ -232,7 +234,8 @@ def test_openai(exporter):
     assert openai_span.attributes["llm.request.type"] == "chat"
     assert openai_span.attributes["gen_ai.request.model"] == "gpt-3.5-turbo"
     assert (
-        openai_span.attributes["gen_ai.prompt.0.content"] == "You are a helpful assistant"
+        openai_span.attributes["gen_ai.prompt.0.content"]
+        == "You are a helpful assistant"
     )
     assert openai_span.attributes["gen_ai.prompt.0.role"] == "system"
     assert (
@@ -251,7 +254,7 @@ def test_anthropic(exporter):
     prompt = ChatPromptTemplate.from_messages(
         [("system", "You are a helpful assistant"), ("user", "{input}")]
     )
-    model = ChatAnthropic(model="claude-2")
+    model = ChatAnthropic(model="claude-2.1")
 
     chain = prompt | model
     response = chain.invoke({"input": "tell me a short joke"})
@@ -269,7 +272,7 @@ def test_anthropic(exporter):
     )
 
     assert anthropic_span.attributes["llm.request.type"] == "chat"
-    assert anthropic_span.attributes["gen_ai.request.model"] == "claude-2"
+    assert anthropic_span.attributes["gen_ai.request.model"] == "claude-2.1"
     assert (
         anthropic_span.attributes["gen_ai.prompt.0.content"]
         == "You are a helpful assistant"
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 5af26e009..de42d4511 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
@@ -1,6 +1,8 @@
 import json
 import logging
 import time
+from wrapt import ObjectProxy
+
 
 from opentelemetry import context as context_api
 from opentelemetry.metrics import Counter, Histogram
@@ -85,7 +87,7 @@ def chat_wrapper(
 
     if is_streaming_response(response):
         # span will be closed after the generator is done
-        return _build_from_streaming_response(
+        return ChatStream(
             span,
             response,
             instance,
@@ -159,7 +161,7 @@ async def achat_wrapper(
 
     if is_streaming_response(response):
         # span will be closed after the generator is done
-        return _abuild_from_streaming_response(
+        return ChatStream(
             span,
             response,
             instance,
@@ -395,161 +397,140 @@ def _set_streaming_token_metrics(
             token_counter.add(completion_usage, attributes=attributes_with_token_type)
 
 
-@dont_throw
-def _build_from_streaming_response(
-    span,
-    response,
-    instance=None,
-    token_counter=None,
-    choice_counter=None,
-    duration_histogram=None,
-    streaming_time_to_first_token=None,
-    streaming_time_to_generate=None,
-    start_time=None,
-    request_kwargs=None,
-):
-    complete_response = {"choices": [], "model": ""}
-
-    first_token = True
-    time_of_first_token = start_time  # will be updated when first token is received
-
-    for item in response:
-        span.add_event(name="llm.content.completion.chunk")
-
-        item_to_yield = item
-
-        if first_token and streaming_time_to_first_token:
-            time_of_first_token = time.time()
-            streaming_time_to_first_token.record(time_of_first_token - start_time)
-            first_token = False
-
-        _accumulate_stream_items(item, complete_response)
-
-        yield item_to_yield
-
-    shared_attributes = {
-        "gen_ai.response.model": complete_response.get("model") or None,
-        "server.address": _get_openai_base_url(instance),
-        "stream": True,
-    }
-
-    if not is_azure_openai(instance):
-        _set_streaming_token_metrics(
-            request_kwargs, complete_response, span, token_counter, shared_attributes
-        )
-
-    # choice metrics
-    if choice_counter and complete_response.get("choices"):
-        _set_choice_counter_metrics(
-            choice_counter, complete_response.get("choices"), shared_attributes
-        )
-
-    # duration metrics
-    if start_time and isinstance(start_time, (float, int)):
-        duration = time.time() - start_time
-    else:
-        duration = None
-    if duration and isinstance(duration, (float, int)) and duration_histogram:
-        duration_histogram.record(duration, attributes=shared_attributes)
-    if streaming_time_to_generate and time_of_first_token:
-        streaming_time_to_generate.record(time.time() - time_of_first_token)
-
-    _set_response_attributes(span, complete_response)
-
-    if should_send_prompts():
-        _set_completions(span, complete_response.get("choices"))
-
-    span.set_status(Status(StatusCode.OK))
-    span.end()
-
-
-@dont_throw
-async def _abuild_from_streaming_response(
-    span,
-    response,
-    instance=None,
-    token_counter=None,
-    choice_counter=None,
-    duration_histogram=None,
-    streaming_time_to_first_token=None,
-    streaming_time_to_generate=None,
-    start_time=None,
-    request_kwargs=None,
-):
-    complete_response = {"choices": [], "model": ""}
-
-    first_token = True
-    time_of_first_token = start_time  # will be updated when first token is received
-
-    async for item in response:
-        span.add_event(name="llm.content.completion.chunk")
-
-        item_to_yield = item
-
-        if first_token and streaming_time_to_first_token:
-            time_of_first_token = time.time()
-            streaming_time_to_first_token.record(time_of_first_token - start_time)
-            first_token = False
-
-        _accumulate_stream_items(item, complete_response)
-
-        yield item_to_yield
-
-    shared_attributes = {
-        "gen_ai.response.model": complete_response.get("model") or None,
-        "server.address": _get_openai_base_url(instance),
-        "stream": True,
-    }
-
-    if not is_azure_openai(instance):
-        _set_streaming_token_metrics(
-            request_kwargs, complete_response, span, token_counter, shared_attributes
-        )
-
-    # choice metrics
-    if choice_counter and complete_response.get("choices"):
-        _set_choice_counter_metrics(
-            choice_counter, complete_response.get("choices"), shared_attributes
-        )
-
-    # duration metrics
-    if start_time and isinstance(start_time, (float, int)):
-        duration = time.time() - start_time
-    else:
-        duration = None
-    if duration and isinstance(duration, (float, int)) and duration_histogram:
-        duration_histogram.record(duration, attributes=shared_attributes)
-    if streaming_time_to_generate and time_of_first_token:
-        streaming_time_to_generate.record(time.time() - time_of_first_token)
-
-    _set_response_attributes(span, complete_response)
-
-    if should_send_prompts():
-        _set_completions(span, complete_response.get("choices"))
-
-    span.set_status(Status(StatusCode.OK))
-    span.end()
-
+class ChatStream(ObjectProxy):
+    def __init__(
+        self,
+        span,
+        response,
+        instance=None,
+        token_counter=None,
+        choice_counter=None,
+        duration_histogram=None,
+        streaming_time_to_first_token=None,
+        streaming_time_to_generate=None,
+        start_time=None,
+        request_kwargs=None,
+    ):
+        super().__init__(response)
+
+        self._span = span
+        self._instance = instance
+        self._token_counter = token_counter
+        self._choice_counter = choice_counter
+        self._duration_histogram = duration_histogram
+        self._streaming_time_to_first_token = streaming_time_to_first_token
+        self._streaming_time_to_generate = streaming_time_to_generate
+        self._start_time = start_time
+        self._request_kwargs = request_kwargs
+
+        self._first_token = True
+        # will be updated when first token is received
+        self._time_of_first_token = self._start_time
+        self._complete_response = {"choices": [], "model": ""}
+
+    def __enter__(self):
+        return self
+
+    def __iter__(self):
+        return self
+
+    def __aiter__(self):
+        return self
+
+    def __next__(self):
+        try:
+            chunk = self.__wrapped__.__next__()
+        except Exception as e:
+            if isinstance(e, StopIteration):
+                self._close_span()
+            raise e
+        else:
+            self._process_item(chunk)
+            return chunk
+
+    async def __anext__(self):
+        try:
+            chunk = await self.__wrapped__.__anext__()
+        except Exception as e:
+            if isinstance(e, StopAsyncIteration):
+                self._close_span()
+            raise e
+        else:
+            self._process_item(chunk)
+            return chunk
+
+    def _process_item(self, item):
+        self._span.add_event(name="llm.content.completion.chunk")
+
+        if self._first_token and self._streaming_time_to_first_token:
+            self._time_of_first_token = time.time()
+            self._streaming_time_to_first_token.record(
+                self._time_of_first_token - self._start_time
+            )
+            self._first_token = False
+
+        if is_openai_v1():
+            item = model_as_dict(item)
+
+        self._complete_response["model"] = item.get("model")
+
+        for choice in item.get("choices"):
+            index = choice.get("index")
+            if len(self._complete_response.get("choices")) <= index:
+                self._complete_response["choices"].append(
+                    {"index": index, "message": {"content": "", "role": ""}}
+                )
+            complete_choice = self._complete_response.get("choices")[index]
+            if choice.get("finish_reason"):
+                complete_choice["finish_reason"] = choice.get("finish_reason")
+
+            delta = choice.get("delta")
+
+            if delta and delta.get("content"):
+                complete_choice["message"]["content"] += delta.get("content")
+            if delta and delta.get("role"):
+                complete_choice["message"]["role"] = delta.get("role")
+
+    def _close_span(self):
+        shared_attributes = {
+            "gen_ai.response.model": self._complete_response.get("model") or None,
+            "server.address": _get_openai_base_url(self._instance),
+            "stream": True,
+        }
 
-def _accumulate_stream_items(item, complete_response):
-    if is_openai_v1():
-        item = model_as_dict(item)
+        if not is_azure_openai(self._instance):
+            _set_streaming_token_metrics(
+                self._request_kwargs,
+                self._complete_response,
+                self._span,
+                self._token_counter,
+                shared_attributes,
+            )
 
-    complete_response["model"] = item.get("model")
+        # choice metrics
+        if self._choice_counter and self._complete_response.get("choices"):
+            _set_choice_counter_metrics(
+                self._choice_counter,
+                self._complete_response.get("choices"),
+                shared_attributes,
+            )
 
-    for choice in item.get("choices"):
-        index = choice.get("index")
-        if len(complete_response.get("choices")) <= index:
-            complete_response["choices"].append(
-                {"index": index, "message": {"content": "", "role": ""}}
+        # duration metrics
+        if self._start_time and isinstance(self._start_time, (float, int)):
+            duration = time.time() - self._start_time
+        else:
+            duration = None
+        if duration and isinstance(duration, (float, int)) and self._duration_histogram:
+            self._duration_histogram.record(duration, attributes=shared_attributes)
+        if self._streaming_time_to_generate and self._time_of_first_token:
+            self._streaming_time_to_generate.record(
+                time.time() - self._time_of_first_token
             )
-        complete_choice = complete_response.get("choices")[index]
-        if choice.get("finish_reason"):
-            complete_choice["finish_reason"] = choice.get("finish_reason")
 
-        delta = choice.get("delta")
+        _set_response_attributes(self._span, self._complete_response)
+
+        if should_send_prompts():
+            _set_completions(self._span, self._complete_response.get("choices"))
 
-        if delta and delta.get("content"):
-            complete_choice["message"]["content"] += delta.get("content")
-        if delta and delta.get("role"):
-            complete_choice["message"]["role"] = delta.get("role")
+        self._span.set_status(Status(StatusCode.OK))
+        self._span.end()
diff --git a/packages/sample-app/poetry.lock b/packages/sample-app/poetry.lock
index e3f03d604..77611107d 100644
--- a/packages/sample-app/poetry.lock
+++ b/packages/sample-app/poetry.lock
@@ -2290,6 +2290,22 @@ tenacity = ">=8.1.0,<9.0.0"
 [package.extras]
 extended-testing = ["jinja2 (>=3,<4)"]
 
+[[package]]
+name = "langchain-openai"
+version = "0.1.6"
+description = "An integration package connecting OpenAI and LangChain"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langchain_openai-0.1.6-py3-none-any.whl", hash = "sha256:7f62ecb12d3cdd0d96679abea00e4e3ceb1f829f6d1f127a5f7b97c1315d157f"},
+    {file = "langchain_openai-0.1.6.tar.gz", hash = "sha256:7d2e838e57ef231cb7689fd58ac5fa8a6e9e504174f8c5698c837739786e2030"},
+]
+
+[package.dependencies]
+langchain-core = ">=0.1.46,<0.2.0"
+openai = ">=1.24.0,<2.0.0"
+tiktoken = ">=0.5.2,<1"
+
 [[package]]
 name = "langchain-text-splitters"
 version = "0.0.1"
@@ -3596,13 +3612,13 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.23.6"
+version = "1.25.2"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-1.23.6-py3-none-any.whl", hash = "sha256:f406c76ba279d16b9aca5a89cee0d968488e39f671f4dc6f0d690ac3c6f6fca1"},
-    {file = "openai-1.23.6.tar.gz", hash = "sha256:612de2d54cf580920a1156273f84aada6b3dca26d048f62eb5364a4314d7f449"},
+    {file = "openai-1.25.2-py3-none-any.whl", hash = "sha256:8df66384343e81ae49f5b9ee7d2d67df3b98d578d1e3a50994111e1c6062bf5e"},
+    {file = "openai-1.25.2.tar.gz", hash = "sha256:a2b4a6ae9afb8b5578b5b69315ecc6c01564d4c8dbe18fe2375bb9547ff5038c"},
 ]
 
 [package.dependencies]
@@ -6948,4 +6964,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.13"
-content-hash = "6f1767278c988dfd84184ecc250ade3b4780122189b383fd54109d9320c1123d"
+content-hash = "98dbdad4ad3370f5c5d004277d7d19566483e37d733c07ba6f5c9f2266524eb8"
diff --git a/packages/sample-app/pyproject.toml b/packages/sample-app/pyproject.toml
index 6cf046552..119abd354 100644
--- a/packages/sample-app/pyproject.toml
+++ b/packages/sample-app/pyproject.toml
@@ -50,6 +50,7 @@ llama-index-embeddings-huggingface = "^0.2.0"
 litellm = "^1.34.42"
 text-generation = "^0.7.0"
 llama-index-vector-stores-chroma = "^0.1.6"
+langchain-openai = "^0.1.6"
 
 [tool.poetry.dependencies.opentelemetry-instrumentation-openai]
 path = "../opentelemetry-instrumentation-openai"
diff --git a/packages/sample-app/sample_app/langchain_lcel.py b/packages/sample-app/sample_app/langchain_lcel.py
index 91848a1b7..bd39f0353 100644
--- a/packages/sample-app/sample_app/langchain_lcel.py
+++ b/packages/sample-app/sample_app/langchain_lcel.py
@@ -4,7 +4,7 @@
 from langchain_community.utils.openai_functions import (
     convert_pydantic_to_openai_function,
 )
-from langchain_community.chat_models import ChatOpenAI
+from langchain_openai import ChatOpenAI
 from langchain_core.pydantic_v1 import BaseModel, Field