Couchbase

%pip install -qU langchain-couchbase

Note: you may need to restart the kernel to use updated packages.

COUCHBASE_CONNECTION_STRING = (
    "couchbase://localhost"  # or "couchbases://localhost" if using TLS
)
DB_USERNAME = "Administrator"
DB_PASSWORD = "Password"

from datetime import timedelta

from couchbase.auth import PasswordAuthenticator
from couchbase.cluster import Cluster
from couchbase.options import ClusterOptions

auth = PasswordAuthenticator(DB_USERNAME, DB_PASSWORD)
options = ClusterOptions(auth)
cluster = Cluster(COUCHBASE_CONNECTION_STRING, options)

# Wait until the cluster is ready for use.
cluster.wait_until_ready(timedelta(seconds=5))

BUCKET_NAME = "langchain-testing"
SCOPE_NAME = "_default"
COLLECTION_NAME = "conversational_cache"

from langchain_couchbase.chat_message_histories import CouchbaseChatMessageHistory

message_history = CouchbaseChatMessageHistory(
    cluster=cluster,
    bucket_name=BUCKET_NAME,
    scope_name=SCOPE_NAME,
    collection_name=COLLECTION_NAME,
    session_id="test-session",
)

message_history.add_user_message("hi!")

message_history.add_ai_message("how are you doing?")

message_history.messages

[HumanMessage(content='hi!'), AIMessage(content='how are you doing?')]

from langchain_couchbase.chat_message_histories import CouchbaseChatMessageHistory

message_history = CouchbaseChatMessageHistory(
    cluster=cluster,
    bucket_name=BUCKET_NAME,
    scope_name=SCOPE_NAME,
    collection_name=COLLECTION_NAME,
    session_id="test-session",
    ttl=timedelta(hours=24),
)

import getpass
import os

from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
from langchain_core.runnables.history import RunnableWithMessageHistory
from langchain_openai import ChatOpenAI

os.environ["OPENAI_API_KEY"] = getpass.getpass()

prompt = ChatPromptTemplate.from_messages(
    [
        ("system", "You are a helpful assistant."),
        MessagesPlaceholder(variable_name="history"),
        ("human", "{question}"),
    ]
)

# Create the LCEL runnable
chain = prompt | ChatOpenAI()

chain_with_history = RunnableWithMessageHistory(
    chain,
    lambda session_id: CouchbaseChatMessageHistory(
        cluster=cluster,
        bucket_name=BUCKET_NAME,
        scope_name=SCOPE_NAME,
        collection_name=COLLECTION_NAME,
        session_id=session_id,
    ),
    input_messages_key="question",
    history_messages_key="history",
)

# This is where we configure the session id
config = {"configurable": {"session_id": "testing"}}

chain_with_history.invoke({"question": "Hi! I'm bob"}, config=config)

AIMessage(content='Hello, Bob! How can I assist you today?', additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 11, 'prompt_tokens': 22, 'total_tokens': 33}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-62e54e3d-db70-429d-9ee0-e5e8eb2489a1-0', usage_metadata={'input_tokens': 22, 'output_tokens': 11, 'total_tokens': 33})

chain_with_history.invoke({"question": "Whats my name"}, config=config)

AIMessage(content='Your name is Bob.', additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 5, 'prompt_tokens': 44, 'total_tokens': 49}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-d84a570a-45f3-4931-814a-078761170bca-0', usage_metadata={'input_tokens': 44, 'output_tokens': 5, 'total_tokens': 49})