bedrock_client.py

import os
from anthropic import AnthropicBedrock
from langchain_aws.chat_models import ChatBedrockConverse
from langchain_aws.llms.bedrock import BedrockLLM


# bedrock_llm1 = BedrockLLM(
#     aws_access_key_id     = os.environ["AWS_ACCESS_KEY_ID"],
#     aws_secret_access_key = os.environ["AWS_SECRET_ACCESS_KEY"],
#     region_name           = "eu-west-1",
#     provider              = "mistral",
#     model_id              = "mistral.mistral-large-2402-v1:0",
#     streaming             = True,
#     model_kwargs          = {"temperature": 0.7},
#  )

# Initialize the streaming Bedrock chat model
bedrock_llm = ChatBedrockConverse(
    aws_access_key_id       =os.environ.get("AWS_ACCESS_KEY_ID"),
    aws_secret_access_key   =os.environ.get("AWS_SECRET_ACCESS_KEY"),
    region_name             =os.environ.get("AWS_DEFAULT_REGION", "eu-west-1"),
    provider                = os.environ.get("PROVIDER", "mistral"),
    model_id                =os.environ.get("MODEL_ID", "mistral.mistral-large-2402-v1:0"),  # or your preferred Bedrock model
    temperature= 0.7)