Amazon Bedrock : amazon.titan-text-express-v1 : how can I setup it to use code generation on jupyter lab

[technqvi]

Hi
I attempted to use Amazon amazon.titan-text-express-v1 but, It arose the error despite having setting AWS account in local develop (Window Operation).
As screenshot below, I left AWS profile and region textbox with blank values because of using default ,
Should it be enough to run code generation? the below the error that I excerpt from total error
How can I tackle this problem?

File ~\AppData\Roaming\Python\Python311\site-packages\langchain_community\llms\bedrock.py:552, in BedrockBase._prepare_input_and_invoke(self, prompt, system, messages, stop, run_manager, **kwargs)
    547     text, body, usage_info = LLMInputOutputAdapter.prepare_output(
    548         provider, response
    549     ).values()
    551 except Exception as e:
--> 552     raise ValueError(f"Error raised by bedrock service: {e}")
    554 if stop is not None:
    555     text = enforce_stop_tokens(text, stop)

ValueError: Error raised by bedrock service: An error occurred (ResourceNotFoundException) when calling the InvokeModel operation: Could not resolve the foundation model from the provided model identifier.

I try to search for similar issues, yet I haven't seen it yet

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[srdas]

Thanks for asking this. I tested this, and it is working, so this is likely to be an error in set up in your AWS account.

When I checked the Bedrock page, it looks like the titan-text-express-v1 is not available in your region ap-southeast-1 (Singapore) at my end, though can you check this also in your own account, as it may be available to you in your region? Here is what I see when I switch to ap-southeast-1:

Hope this helps!

[technqvi]

I got it I

so this is likely to be an error in set up in your AWS account.

Hey! thank you for your help.
I forgot specifying region which is "us-east-1" that enable Generative-AI and I can use chatbot.

But I cannot use on jupyter lab code.

I supposed I incorrectly specified %%ai bedrock:amazon.titan-text-express-v1

ValueError: Error raised by bedrock service: An error occurred (ResourceNotFoundException) when calling the InvokeModel operation: Could not resolve the foundation model from the provided model identifier

[srdas]

That is strange, glad you at least have chat (Jupyternaut) working. I tried your exact prompt and it is working fine, see

I doubt this is the problem, but can you check in your console on the Amazon Bedrock page if you have access granted?

[technqvi]

I keep getting the same error.

[srdas]

@technqvi -- Not sure where the problem lies. Would you try to upgrade to the latest versions of jupyter lab and jupyter-ai? Also, are the other LLMs working? Is this the only one that is failing?

[srdas]

@technqvi Hi -- I hope you were able to resolve this problem. I cannot recreate the same and I hope upgrading to the latest releases (jupyter-ai 2.15 was out last Friday) will resolve it. I will close out the issue for now.