AI rule node: add basic Amazon Bedrock support

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Dmytro Skarzhynets 2025-06-26 12:59:41 +03:00
parent 0cc5980156
commit 4f38422df8
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10 changed files with 140 additions and 5 deletions

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@ -405,6 +405,10 @@
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-anthropic</artifactId>
</dependency>
<dependency>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-bedrock</artifactId>
</dependency>
</dependencies>
<build>

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@ -21,10 +21,13 @@ import com.google.cloud.vertexai.Transport;
import com.google.cloud.vertexai.VertexAI;
import com.google.cloud.vertexai.api.GenerationConfig;
import com.google.cloud.vertexai.generativeai.GenerativeModel;
import dev.langchain4j.model.bedrock.BedrockChatModel;
import dev.langchain4j.model.chat.ChatModel;
import dev.langchain4j.model.chat.request.ChatRequestParameters;
import dev.langchain4j.model.vertexai.gemini.VertexAiGeminiChatModel;
import org.springframework.stereotype.Component;
import org.thingsboard.common.util.JacksonUtil;
import org.thingsboard.server.common.data.ai.model.chat.AmazonBedrockChatModel;
import org.thingsboard.server.common.data.ai.model.chat.AnthropicChatModel;
import org.thingsboard.server.common.data.ai.model.chat.AzureOpenAiChatModel;
import org.thingsboard.server.common.data.ai.model.chat.GoogleAiGeminiChatModel;
@ -32,7 +35,12 @@ import org.thingsboard.server.common.data.ai.model.chat.GoogleVertexAiGeminiChat
import org.thingsboard.server.common.data.ai.model.chat.Langchain4jChatModelConfigurer;
import org.thingsboard.server.common.data.ai.model.chat.MistralAiChatModel;
import org.thingsboard.server.common.data.ai.model.chat.OpenAiChatModel;
import org.thingsboard.server.common.data.ai.provider.AmazonBedrockProviderConfig;
import org.thingsboard.server.common.data.ai.provider.GoogleVertexAiGeminiProviderConfig;
import software.amazon.awssdk.auth.credentials.AwsBasicCredentials;
import software.amazon.awssdk.auth.credentials.StaticCredentialsProvider;
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.bedrockruntime.BedrockRuntimeClient;
import java.io.ByteArrayInputStream;
import java.io.IOException;
@ -138,6 +146,33 @@ class Langchain4jChatModelConfigurerImpl implements Langchain4jChatModelConfigur
.build();
}
@Override
public ChatModel configureChatModel(AmazonBedrockChatModel chatModel) {
AmazonBedrockProviderConfig providerConfig = chatModel.providerConfig();
AmazonBedrockChatModel.Config modelConfig = chatModel.modelConfig();
var credentialsProvider = StaticCredentialsProvider.create(
AwsBasicCredentials.create(providerConfig.accessKeyId(), providerConfig.secretAccessKey())
);
var bedrockClient = BedrockRuntimeClient.builder()
.region(Region.of(providerConfig.region()))
.credentialsProvider(credentialsProvider)
.build();
var defaultChatRequestParams = ChatRequestParameters.builder()
.temperature(modelConfig.temperature())
.build();
return BedrockChatModel.builder()
.client(bedrockClient)
.modelId(modelConfig.modelId())
.defaultRequestParameters(defaultChatRequestParams)
.timeout(toDuration(modelConfig.timeoutSeconds()))
.maxRetries(modelConfig.maxRetries())
.build();
}
private static Duration toDuration(Integer timeoutSeconds) {
return timeoutSeconds != null ? Duration.ofSeconds(timeoutSeconds) : null;
}

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@ -19,6 +19,7 @@ import com.fasterxml.jackson.annotation.JsonTypeInfo;
import com.fasterxml.jackson.databind.DatabindContext;
import com.fasterxml.jackson.databind.JavaType;
import com.fasterxml.jackson.databind.jsontype.impl.TypeIdResolverBase;
import org.thingsboard.server.common.data.ai.model.chat.AmazonBedrockChatModel;
import org.thingsboard.server.common.data.ai.model.chat.AnthropicChatModel;
import org.thingsboard.server.common.data.ai.model.chat.GoogleAiGeminiChatModel;
import org.thingsboard.server.common.data.ai.model.chat.GoogleVertexAiGeminiChatModel;
@ -86,6 +87,9 @@ public final class AiModelTypeIdResolver extends TypeIdResolverBase {
map.put("ANTHROPIC::claude-3-5-haiku-latest", AnthropicChatModel.class);
map.put("ANTHROPIC::claude-3-opus-latest", AnthropicChatModel.class);
// Amazon Bedrock models
map.put("AMAZON_BEDROCK::amazon.nova-lite-v1:0", AmazonBedrockChatModel.class);
typeIdToModelClass = Collections.unmodifiableMap(map);
}

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@ -22,7 +22,8 @@ import org.thingsboard.server.common.data.ai.model.AiModelType;
public sealed interface AiChatModel<C extends AiChatModelConfig<C>> extends AiModel<C>
permits
OpenAiChatModel, AzureOpenAiChatModel, GoogleAiGeminiChatModel,
GoogleVertexAiGeminiChatModel, MistralAiChatModel, AnthropicChatModel {
GoogleVertexAiGeminiChatModel, MistralAiChatModel, AnthropicChatModel,
AmazonBedrockChatModel {
ChatModel configure(Langchain4jChatModelConfigurer configurer);

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@ -20,7 +20,8 @@ import org.thingsboard.server.common.data.ai.model.AiModelConfig;
public sealed interface AiChatModelConfig<C extends AiChatModelConfig<C>> extends AiModelConfig<C>
permits
OpenAiChatModel.Config, AzureOpenAiChatModel.Config, GoogleAiGeminiChatModel.Config,
GoogleVertexAiGeminiChatModel.Config, MistralAiChatModel.Config, AnthropicChatModel.Config {
GoogleVertexAiGeminiChatModel.Config, MistralAiChatModel.Config, AnthropicChatModel.Config,
AmazonBedrockChatModel.Config {
Double temperature();

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@ -0,0 +1,60 @@
/**
* Copyright © 2016-2025 The Thingsboard Authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.thingsboard.server.common.data.ai.model.chat;
import dev.langchain4j.model.chat.ChatModel;
import org.thingsboard.server.common.data.ai.provider.AmazonBedrockProviderConfig;
public record AmazonBedrockChatModel(
AmazonBedrockProviderConfig providerConfig,
Config modelConfig
) implements AiChatModel<AmazonBedrockChatModel.Config> {
public record Config(
String modelId,
Double temperature,
Integer timeoutSeconds,
Integer maxRetries
) implements AiChatModelConfig<AmazonBedrockChatModel.Config> {
@Override
public AmazonBedrockChatModel.Config withTemperature(Double temperature) {
return new Config(modelId, temperature, timeoutSeconds, maxRetries);
}
@Override
public AmazonBedrockChatModel.Config withTimeoutSeconds(Integer timeoutSeconds) {
return new Config(modelId, temperature, timeoutSeconds, maxRetries);
}
@Override
public AmazonBedrockChatModel.Config withMaxRetries(Integer maxRetries) {
return new Config(modelId, temperature, timeoutSeconds, maxRetries);
}
}
@Override
public ChatModel configure(Langchain4jChatModelConfigurer configurer) {
return configurer.configureChatModel(this);
}
@Override
public AmazonBedrockChatModel withModelConfig(AmazonBedrockChatModel.Config config) {
return new AmazonBedrockChatModel(providerConfig, config);
}
}

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@ -31,4 +31,6 @@ public interface Langchain4jChatModelConfigurer {
ChatModel configureChatModel(AnthropicChatModel chatModel);
ChatModel configureChatModel(AmazonBedrockChatModel chatModel);
}

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@ -22,6 +22,7 @@ public enum AiProvider {
GOOGLE_AI_GEMINI,
GOOGLE_VERTEX_AI_GEMINI,
MISTRAL_AI,
ANTHROPIC
ANTHROPIC,
AMAZON_BEDROCK
}

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@ -29,12 +29,14 @@ import com.fasterxml.jackson.annotation.JsonTypeInfo;
@JsonSubTypes.Type(value = GoogleAiGeminiProviderConfig.class, name = "GOOGLE_AI_GEMINI"),
@JsonSubTypes.Type(value = GoogleVertexAiGeminiProviderConfig.class, name = "GOOGLE_VERTEX_AI_GEMINI"),
@JsonSubTypes.Type(value = MistralAiProviderConfig.class, name = "MISTRAL_AI"),
@JsonSubTypes.Type(value = AnthropicProviderConfig.class, name = "ANTHROPIC")
@JsonSubTypes.Type(value = AnthropicProviderConfig.class, name = "ANTHROPIC"),
@JsonSubTypes.Type(value = AmazonBedrockProviderConfig.class, name = "AMAZON_BEDROCK")
})
public sealed interface AiProviderConfig
permits
OpenAiProviderConfig, AzureOpenAiProviderConfig, GoogleAiGeminiProviderConfig,
GoogleVertexAiGeminiProviderConfig, MistralAiProviderConfig, AnthropicProviderConfig {
GoogleVertexAiGeminiProviderConfig, MistralAiProviderConfig, AnthropicProviderConfig,
AmazonBedrockProviderConfig {
AiProvider provider();

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@ -0,0 +1,25 @@
/**
* Copyright © 2016-2025 The Thingsboard Authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.thingsboard.server.common.data.ai.provider;
public record AmazonBedrockProviderConfig(String region, String accessKeyId, String secretAccessKey) implements AiProviderConfig {
@Override
public AiProvider provider() {
return AiProvider.AMAZON_BEDROCK;
}
}