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https://github.com/microsoft/semantic-kernel.git
synced 2026-10-12 11:19:56 +00:00
Tao Chen
481d16a749
### Motivation and Context <!-- Thank you for your contribution to the semantic-kernel repo! Please help reviewers and future users, providing the following information: 1. Why is this change required? 2. What problem does it solve? 3. What scenario does it contribute to? 4. If it fixes an open issue, please link to the issue here. --> Add Amazon Bedrock AI to Semantic Kernel. Amazon Bedrock is a platform on AWS that offers access to a wide range to LLMs, including proprietary Amazon Titan models. We are integrating it into Semantic Kernel as one of our AI connectors to provide more options to developers. ### Description <!-- Describe your changes, the overall approach, the underlying design. These notes will help understanding how your code works. Thanks! --> 1. All interfaces implemented: chat completion (streaming + non-streaming), text completion (streaming + non-streaming), and text embedding. 2. Supports for function calling. 3. Supports for image content. 4. Supports for all models available on Bedrock. ### Contribution Checklist <!-- Before submitting this PR, please make sure: --> - [x] The code builds clean without any errors or warnings - [x] The PR follows the [SK Contribution Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md) and the [pre-submission formatting script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts) raises no violations - [x] All unit tests pass, and I have added new tests where possible - [x] I didn't break anyone 😄
12 lines
395 B
Python
12 lines
395 B
Python
# Copyright (c) Microsoft. All rights reserved.
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from typing import Final
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METADATA_EXCEPTION_KEY: Final[str] = "exception"
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DEFAULT_SERVICE_NAME: Final[str] = "default"
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USER_AGENT: Final[str] = "User-Agent"
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PARSED_ANNOTATION_UNION_DELIMITER: Final[str] = ","
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DEFAULT_FULLY_QUALIFIED_NAME_SEPARATOR: Final[str] = "-"
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AUTO_FUNCTION_INVOCATION_SPAN_NAME: Final[str] = "AutoFunctionInvocationLoop"
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