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fix(gen): remove langchain_community #149

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Merged
alpkom merged 1 commit into from
Sep 17, 2026
Merged

fix(gen): remove langchain_community #149

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7 changes: 3 additions & 4 deletions packages/gen/docs/gen_ai_hub/examples/ai-vs-ai.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,8 +6,7 @@
ChatPromptTemplate,
MessagesPlaceholder,
)
from langchain_community.chat_message_histories.in_memory import ChatMessageHistory
from langchain_core.chat_history import BaseChatMessageHistory
from langchain_core.chat_history import BaseChatMessageHistory, InMemoryChatMessageHistory
from langchain_core.messages import HumanMessage
from langchain_core.runnables.history import RunnableWithMessageHistory

Expand Down Expand Up @@ -37,13 +36,13 @@

def get_session_history(session_id: str) -> BaseChatMessageHistory:
if session_id not in store:
store[session_id] = ChatMessageHistory()
store[session_id] = InMemoryChatMessageHistory()
return store[session_id]


def create_session_history() -> str:
session_id = str(uuid.uuid4())
store[session_id] = ChatMessageHistory()
store[session_id] = InMemoryChatMessageHistory()
return session_id


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3 changes: 1 addition & 2 deletions packages/gen/gen_ai_hub/proxy/langchain/amazon.py
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Expand Up @@ -2,8 +2,7 @@
from typing import Dict, Optional, List, Any

from botocore.config import Config
from langchain_aws import ChatBedrock as ChatBedrock_, ChatBedrockConverse as ChatBedrockConverse_
from langchain_community.embeddings import BedrockEmbeddings as BedrockEmbeddings_
from langchain_aws import ChatBedrock as ChatBedrock_, ChatBedrockConverse as ChatBedrockConverse_, BedrockEmbeddings as BedrockEmbeddings_
from pydantic import BaseModel, ConfigDict, model_validator

from gen_ai_hub.proxy.core.base import BaseProxyClient
Expand Down
6 changes: 3 additions & 3 deletions packages/gen/integration_tests/langchain_/test_google_genai.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,8 +7,8 @@
ChatPromptTemplate,
MessagesPlaceholder,
)
from langchain_classic.schema import BaseChatMessageHistory, HumanMessage
from langchain_community.chat_message_histories.in_memory import ChatMessageHistory
from langchain_classic.schema import HumanMessage
from langchain_core.chat_history import BaseChatMessageHistory, InMemoryChatMessageHistory
from langchain_core.messages import AIMessage
from langchain_core.runnables.history import RunnableWithMessageHistory

Expand All @@ -30,7 +30,7 @@ def _get_model_history(self, session_id: str) -> BaseChatMessageHistory:

def _create_model_history(self) -> str:
session_id = str(uuid.uuid4())
self.model_histories[session_id] = ChatMessageHistory()
self.model_histories[session_id] = InMemoryChatMessageHistory()
return session_id

def test_genai_invoke(self, model=GEMINI_2_5_FLASH_LITE_TEST_MODEL):
Expand Down
1 change: 0 additions & 1 deletion packages/gen/pyproject.toml
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Expand Up @@ -45,7 +45,6 @@ dependencies = [
"pandas>=2.2.0",
"langchain~=1.4.0",
"langchain-classic~=1.0.0",
"langchain-community~=0.4.1",
"langchain-openai~=1.6.0",
]

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2 changes: 1 addition & 1 deletion packages/gen/tests/proxy/langchain_/test_amazon.py
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Expand Up @@ -55,7 +55,7 @@ def test_chat_model(self, mock_chain_invoke):
response = chain.invoke("I love programming")
self.assertIsInstance(response["text"], str)

@patch("langchain_community.embeddings.bedrock.BedrockEmbeddings.embed_query")
@patch("langchain_aws.embeddings.bedrock.BedrockEmbeddings.embed_query")
def test_embedding_model(self, mock_chain_invoke):
mock_chain_invoke.return_value = AMAZON_TITAN_EMBED_QUERY_RESPONSE
embedding_model = BedrockEmbeddings(
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49 changes: 0 additions & 49 deletions uv.lock
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