5c67a5e6bc
Co-authored-by: Prateek Chhikara <prateekchhikara24@gmail.com> Co-authored-by: Deshraj Yadav <deshrajdry@gmail.com>
45 lines
1.6 KiB
Plaintext
45 lines
1.6 KiB
Plaintext
---
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title: AWS Bedrock
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---
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<Snippet file="paper-release.mdx" />
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### Setup
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- Before using the AWS Bedrock LLM, make sure you have the appropriate model access from [Bedrock Console](https://us-east-1.console.aws.amazon.com/bedrock/home?region=us-east-1#/modelaccess).
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- You will also need to authenticate the `boto3` client by using a method in the [AWS documentation](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html#configuring-credentials)
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- You will have to export `AWS_REGION`, `AWS_ACCESS_KEY`, and `AWS_SECRET_ACCESS_KEY` to set environment variables.
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### Usage
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```python
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import os
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from mem0 import Memory
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os.environ['AWS_REGION'] = 'us-west-2'
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os.environ["AWS_ACCESS_KEY_ID"] = "xx"
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os.environ["AWS_SECRET_ACCESS_KEY"] = "xx"
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config = {
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"llm": {
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"provider": "aws_bedrock",
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"config": {
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"model": "anthropic.claude-3-5-haiku-20241022-v1:0",
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"temperature": 0.2,
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"max_tokens": 2000,
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}
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}
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}
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m = Memory.from_config(config)
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messages = [
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{"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
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{"role": "assistant", "content": "How about a thriller movies? They can be quite engaging."},
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{"role": "user", "content": "I’m not a big fan of thriller movies but I love sci-fi movies."},
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{"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
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]
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m.add(messages, user_id="alice", metadata={"category": "movies"})
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```
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### Config
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All available parameters for the `aws_bedrock` config are present in [Master List of All Params in Config](../config). |