ChatBedrock not working with latest nova models (amazon.nova-pro-v1:0 model)

[aashipandya]

I am trying to use the new Amazon Bedrock model amazon.nova-pro-v1:0 with the ChatBedrock integration provided by LangChain-AWS. However, I encounter a validation error when I attempt to invoke the model.

Code to Reproduce
import boto3
from langchain_aws import ChatBedrock
import os

AWS credentials -
aws_access_key = "XYZ"
aws_secret_key = "XYZ"
region_name = "us-east-1"

Bedrock Runtime Client -
model_name = "amazon.nova-pro-v1:0"
bedrock_client = boto3.client(
service_name="bedrock-runtime",
region_name=region_name,
aws_access_key_id=aws_access_key,
aws_secret_access_key=aws_secret_key
)
llm = ChatBedrock(client=bedrock_client, model_id=model_name, model_kwargs=dict(temperature=0))
response = llm.invoke("Create a list of 3 pop songs")
print(response)

Error Output
ValidationError: 1 validation error for ChatBedrockConverse
Value error, Could not load credentials to authenticate with AWS client.
Please check that credentials in the specified profile name are valid.

Although If i try same credentials & same model with client.converse method it works.

response = bedrock_client.converse(
modelId=model_name,
messages=messages,
inferenceConfig={"temperature": 0.0}
)

Environment
• LangChain-AWS version: 0.2.9
• Python version: 3.10
• AWS SDK (boto3) version: 1.35.83

I am not sure if the issue is with credentials or ChatBedrock.

[mlrana]

I have also tried chatbedrock with nova models
throwing me this error
An error occurred (ValidationException) when calling the Converse operation: Invocation of model ID amazon.nova-micro-v1:0 with on-demand throughput isn’t supported. Retry your request with the ID or ARN of an inference profile that contains this model.

Though chatbedrock is working with claude models.

[anujj-ti]

I am also facing similar issues.

It frequently gives this error:

An error occurred (ModelErrorException) when calling the Converse operation: The system encountered an unexpected error during processing. Try your request again.

My code snippet:

            client = ChatBedrock(
                model_id=model_id,
                temperature=temperature,
                max_tokens=max_tokens,
            )

            if tools:
                client = client.bind_tools(
                    tools=[tool.get_schema() for tool in tools],
                    tool_choice=tool_choice
                )

            response: AIMessage = await client.ainvoke(messages)