[FLINK-AGENTS-523] Add Amazon Bedrock chat model and embedding model integrations #534
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added 3 commits
February 10, 2026 08:02
…grations Add two new integration modules for Amazon Bedrock: - Chat model using the Converse API with native tool calling support, SigV4 auth via DefaultCredentialsProvider, and token metrics reporting. Supports all Bedrock models accessible via Converse API. - Embedding model using Titan Text Embeddings V2 via InvokeModel. Batch embed(List<String>) parallelizes via configurable thread pool (embed_concurrency parameter, default 4). Includes unit tests for constructors, parameter handling, and inheritance.
…ockEmbeddingModelConnection
…avadocs - Add close() to BedrockChatModelConnection and BedrockEmbeddingModelConnection to properly release AWS SDK clients and thread pools - Wire max_tokens parameter through BedrockChatModelSetup into InferenceConfiguration - Add retry jitter to BedrockEmbeddingModelConnection to prevent thundering herd - Add typed getConnection() override to BedrockEmbeddingModelSetup - Add usage example Javadocs to all 4 classes - Document stripMarkdownFences necessity (Bedrock models don't guarantee pure JSON) - Note future work: reasoning content, citations, multimodal support - Expand wildcard imports
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Linked issue: #523
Purpose of change
Add Amazon Bedrock as a chat model and embedding model provider for Flink Agents.
BedrockChatModelConnection— Converse API with native tool calling, SigV4 authBedrockChatModelSetup— model, temperature, max_tokens configurationBedrockEmbeddingModelConnection— Titan Text Embeddings V2 with parallel batch embeddingBedrockEmbeddingModelSetup— model, dimensions configurationNew modules:
integrations/chat-models/bedrock/,integrations/embedding-models/bedrock/Tests
BedrockChatModelConnectionTest(4),BedrockChatModelSetupTest(3),BedrockEmbeddingModelTest(4)API
No public API changes. New integration modules only.
Documentation
doc-neededdoc-not-neededdoc-included