Amazon Bedrock support for LLM Playground and Evaluations
Hassieb PakzadLangfuse now supports Amazon Bedrock for LLM Playground and Evaluations.
We’re excited that Langfuse now supports Amazon Bedrock for both the LLM Playground and Evaluations. This integration allows users to leverage Amazon Bedrock’s powerful language models directly within the Langfuse ecosystem. Whether you’re prototyping in the Playground or conducting LLM-as-a-judge evaluations, the addition of Amazon Bedrock models enhances your toolkit for building and optimizing AI-powered features.
Key Features
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LLM Playground Integration: You can now use Amazon Bedrock models in the Langfuse LLM Playground. This enables quick experimentation and testing with various Bedrock models.
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Evaluations Support: Bedrock models can be utilized in Langfuse Evaluations, allowing for comprehensive assessment and comparison of model performance.
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Easy Setup: Adding your Bedrock API key is straightforward in the project settings, making it simple to get started with these new capabilities.
How to Get Started
To begin using Amazon Bedrock in Langfuse:
- Navigate to the LLM API Keys section in your Langfuse settings.
- Add your Amazon Bedrock credentials.
- You’re all set! You can now select Bedrock models in the LLM Playground and Evaluations.
