fix(langchain): support model-specific packages

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):

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"]

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:
@@ -28,43 +28,44 @@ 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:
       - gzip
       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

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

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"