AWS Bedrock

Memori supports AWS Bedrock through langchain-aws. Register using the chatbedrock keyword to access Claude, Llama, Mistral, and other Bedrock models.

Want a zero-setup option? The Memori Cloud at app.memorilabs.ai.

Quick Start

Bedrock Integration

from langchain_aws import ChatBedrock
from memori import Memori
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker

engine = create_engine("sqlite:///memori.db")
SessionLocal = sessionmaker(bind=engine)

client = ChatBedrock(
    model_id="anthropic.claude-3-5-sonnet-20241022-v2:0",
    region_name="us-east-1"
)

mem = Memori(conn=SessionLocal).llm.register(chatbedrock=client)
mem.config.storage.build()
mem.attribution(entity_id="user_123", process_id="bedrock_agent")

response = client.invoke("Hello!")
print(response.content)

Supported Modes

Mode	Method
Sync	`client.invoke()`
Async	`await client.ainvoke()`
Streamed	`client.stream()`

Available Models

Model	Model ID
Claude 3.5 Sonnet	`anthropic.claude-3-5-sonnet-20241022-v2:0`
Claude 3 Haiku	`anthropic.claude-3-haiku-20240307-v1:0`
Llama 3.1 70B	`meta.llama3-1-70b-instruct-v1:0`
Mistral Large	`mistral.mistral-large-2407-v1:0`