aws-samples / aws-samples/amazon-bedrock-samples
Issues with: inference/cross-region-inference/Getting_started_with_Cross-region_Inference.ipynb
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- Jupyter Notebook
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Description
After installing:
```
!pip install --quiet langchain_aws langchain_community
```
Then, running:
```
from langchain_aws import ChatBedrockConverse
messages = [
(
"system",
"You are a helpful assistant that shapes sentences into poetic form. Translate the user sentence.",
),
("human", "I love programming."),
]
llm = ChatBedrockConverse(
model='us.anthropic.claude-3-sonnet-20240229-v1:0',
temperature=0,
max_tokens=None,
client=bedrock_runtime,
)
print(llm.invoke(messages).content)
```
I am getting the error:
```
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
Cell In[5], line 1
----> 1 from langchain_aws import ChatBedrockConverse
3 messages = [
4 (
5 "system",
(...)
8 ("human", "I love programming."),
9 ]
11 llm = ChatBedrockConverse(
12 model='us.anthropic.claude-3-sonnet-20240229-v1:0',
13 temperature=0,
14 max_tokens=None,
15 client=bedrock_runtime,
16 )
ImportError: cannot import name 'ChatBedrockConverse' from 'langchain_aws' ([/opt/conda/lib/python3.10/site-packages/langchain_aws/__init__.py](https://x4kaivqtuvti2g3.studio.us-east-1.sagemaker.aws/opt/conda/lib/python3.10/site-packages/langchain_aws/__init__.py))
```
Contributor guide
Research direction
Open inference/cross-region-inference/Getting_started_with_Cross-region_Inference.ipynb and inspect the installation and ChatBedrockConverse import cells. Reproduce the ImportError after installing langchain_aws and langchain_community, then compare the notebook example with the installed package. Done when the cross-region inference example runs past the import without the reported error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python
- Domain
- ai, documentation
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 42/100