AWS Bedrock

Since Camel 4.5

Only producer is supported

The AWS2 Bedrock component supports invoking a supported LLM model from AWS Bedrock service.

Prerequisites

You must have a valid Amazon Web Services developer account, and be signed up to use Amazon Bedrock. More information is available at Amazon Bedrock.

URI Format

aws-bedrock://label[?options]

You can append query options to the URI in the following format:

?options=value&option2=value&…​

Configuring Options

Camel components are configured on two separate levels:

  • component level

  • endpoint level

Configuring Component Options

At the component level, you set general and shared configurations that are, then, inherited by the endpoints. It is the highest configuration level.

For example, a component may have security settings, credentials for authentication, urls for network connection and so forth.

Some components only have a few options, and others may have many. Because components typically have pre-configured defaults that are commonly used, then you may often only need to configure a few options on a component; or none at all.

You can configure components using:

  • the Component DSL.

  • in a configuration file (application.properties, *.yaml files, etc).

  • directly in the Java code.

Configuring Endpoint Options

You usually spend more time setting up endpoints because they have many options. These options help you customize what you want the endpoint to do. The options are also categorized into whether the endpoint is used as a consumer (from), as a producer (to), or both.

Configuring endpoints is most often done directly in the endpoint URI as path and query parameters. You can also use the Endpoint DSL and DataFormat DSL as a type safe way of configuring endpoints and data formats in Java.

A good practice when configuring options is to use Property Placeholders.

Property placeholders provide a few benefits:

  • They help prevent using hardcoded urls, port numbers, sensitive information, and other settings.

  • They allow externalizing the configuration from the code.

  • They help the code to become more flexible and reusable.

The following two sections list all the options, firstly for the component followed by the endpoint.

Component Options

The AWS Bedrock component supports 26 options, which are listed below.

Name Description Default Type

configuration (producer)

Component configuration.

BedrockConfiguration

includeStreamingMetadata (producer)

Whether to include streaming metadata in the response headers (completion reason, token count, chunk count).

true

boolean

lazyStartProducer (producer)

Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel’s routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing.

false

boolean

modelId (producer)

Required Define the model Id we are going to use.

Enum values:

  • amazon.titan-text-express-v1

  • amazon.titan-text-lite-v1

  • amazon.titan-image-generator-v1

  • amazon.titan-embed-text-v1

  • amazon.titan-embed-image-v1

  • amazon.titan-text-premier-v1:0

  • amazon.titan-embed-text-v2:0

  • amazon.titan-image-generator-v2:0

  • amazon.nova-canvas-v1:0

  • amazon.nova-lite-v1:0

  • amazon.nova-micro-v1:0

  • amazon.nova-premier-v1:0

  • amazon.nova-pro-v1:0

  • amazon.nova-reel-v1:0

  • amazon.nova-reel-v1:1

  • amazon.nova-sonic-v1:0

  • amazon.rerank-v1:0

  • ai21.jamba-1-5-large-v1:0

  • ai21.jamba-1-5-mini-v1:0

  • anthropic.claude-3-sonnet-20240229-v1:0

  • anthropic.claude-3-5-sonnet-20240620-v1:0

  • anthropic.claude-3-5-sonnet-20241022-v2:0

  • anthropic.claude-3-haiku-20240307-v1:0

  • anthropic.claude-3-5-haiku-20241022-v1:0

  • anthropic.claude-3-opus-20240229-v1:0

  • anthropic.claude-3-7-sonnet-20250219-v1:0

  • anthropic.claude-opus-4-20250514-v1:0

  • anthropic.claude-sonnet-4-20250514-v1:0

  • cohere.command-r-plus-v1:0

  • cohere.command-r-v1:0

  • cohere.embed-english-v3

  • cohere.embed-multilingual-v3

  • cohere.rerank-v3-5:0

  • meta.llama3-8b-instruct-v1:0

  • meta.llama3-70b-instruct-v1:0

  • meta.llama3-1-8b-instruct-v1:0

  • meta.llama3-1-70b-instruct-v1:0

  • meta.llama3-1-405b-instruct-v1:0

  • meta.llama3-2-1b-instruct-v1:0

  • meta.llama3-2-3b-instruct-v1:0

  • meta.llama3-2-11b-instruct-v1:0

  • meta.llama3-2-90b-instruct-v1:0

  • meta.llama3-3-70b-instruct-v1:0

  • meta.llama4-maverick-17b-instruct-v1:0

  • meta.llama4-scout-17b-instruct-v1:0

  • mistral.mistral-7b-instruct-v0:2

  • mistral.mixtral-8x7b-instruct-v0:1

  • mistral.mistral-large-2402-v1:0

  • mistral.mistral-large-2407-v1:0

  • mistral.mistral-small-2402-v1:0

  • mistral.pixtral-large-2502-v1:0

  • stability.sd3-5-large-v1:0

  • stability.stable-image-control-sketch-v1:0

  • stability.stable-image-control-structure-v1:0

  • stability.stable-image-core-v1:1

String

operation (producer)

Required The operation to perform.

Enum values:

  • invokeTextModel

  • invokeImageModel

  • invokeEmbeddingsModel

  • invokeTextModelStreaming

  • invokeImageModelStreaming

  • invokeEmbeddingsModelStreaming

  • converse

  • converseStream

BedrockOperations

overrideEndpoint (producer)

Set the need for overriding the endpoint. This option needs to be used in combination with the uriEndpointOverride option.

false

boolean

pojoRequest (producer)

If we want to use a POJO request as body or not.

false

boolean

profileCredentialsName (producer)

If using a profile credentials provider, this parameter will set the profile name.

false

String

region (producer)

The region in which Bedrock client needs to work. When using this parameter, the configuration will expect the lowercase name of the region (for example, ap-east-1) You’ll need to use the name Region.EU_WEST_1.id().

Enum values:

  • us-east-1

  • us-west-1

  • ap-southeast-1

  • ap-northeast-1

  • eu-central-1

String

streamOutputMode (producer)

The streaming output mode (complete or chunks). In complete mode, the full response is accumulated and returned as a single message. In chunks mode, each chunk is emitted as a separate exchange.

Enum values:

  • complete

  • chunks

complete

String

uriEndpointOverride (producer)

Set the overriding uri endpoint. This option needs to be used in combination with overrideEndpoint option.

String

useDefaultCredentialsProvider (producer)

Set whether the Bedrock client should expect to load credentials through a default credentials provider or to expect static credentials to be passed in.

false

boolean

useProfileCredentialsProvider (producer)

Set whether the Bedrock client should expect to load credentials through a profile credentials provider.

false

boolean

autowiredEnabled (advanced)

Whether autowiring is enabled. This is used for automatic autowiring options (the option must be marked as autowired) by looking up in the registry to find if there is a single instance of matching type, which then gets configured on the component. This can be used for automatic configuring JDBC data sources, JMS connection factories, AWS Clients, etc.

true

boolean

bedrockRuntimeAsyncClient (advanced)

Autowired To use an existing configured AWS Bedrock Runtime Async client for streaming operations.

BedrockRuntimeAsyncClient

bedrockRuntimeClient (advanced)

Autowired To use an existing configured AWS Bedrock Runtime client.

BedrockRuntimeClient

healthCheckConsumerEnabled (health)

Used for enabling or disabling all consumer based health checks from this component.

true

boolean

healthCheckProducerEnabled (health)

Used for enabling or disabling all producer based health checks from this component. Notice: Camel has by default disabled all producer based health-checks. You can turn on producer checks globally by setting camel.health.producersEnabled=true.

true

boolean

proxyHost (proxy)

To define a proxy host when instantiating the Bedrock client.

String

proxyPort (proxy)

To define a proxy port when instantiating the Bedrock client.

Integer

proxyProtocol (proxy)

To define a proxy protocol when instantiating the Bedrock client.

Enum values:

  • HTTP

  • HTTPS

HTTPS

Protocol

accessKey (security)

Amazon AWS Access Key.

String

secretKey (security)

Amazon AWS Secret Key.

String

sessionToken (security)

Amazon AWS Session Token used when the user needs to assume an IAM role.

String

trustAllCertificates (security)

If we want to trust all certificates in case of overriding the endpoint.

false

boolean

useSessionCredentials (security)

Set whether the Bedrock client should expect to use Session Credentials. This is useful in a situation in which the user needs to assume an IAM role for doing operations in Bedrock.

false

boolean

Endpoint Options

The AWS Bedrock endpoint is configured using URI syntax:

aws-bedrock:label

With the following path and query parameters:

Path Parameters (1 parameters)

Name Description Default Type

label (producer)

Required Logical name.

String

Query Parameters (22 parameters)

Name Description Default Type

includeStreamingMetadata (producer)

Whether to include streaming metadata in the response headers (completion reason, token count, chunk count).

true

boolean

modelId (producer)

Required Define the model Id we are going to use.

Enum values:

  • amazon.titan-text-express-v1

  • amazon.titan-text-lite-v1

  • amazon.titan-image-generator-v1

  • amazon.titan-embed-text-v1

  • amazon.titan-embed-image-v1

  • amazon.titan-text-premier-v1:0

  • amazon.titan-embed-text-v2:0

  • amazon.titan-image-generator-v2:0

  • amazon.nova-canvas-v1:0

  • amazon.nova-lite-v1:0

  • amazon.nova-micro-v1:0

  • amazon.nova-premier-v1:0

  • amazon.nova-pro-v1:0

  • amazon.nova-reel-v1:0

  • amazon.nova-reel-v1:1

  • amazon.nova-sonic-v1:0

  • amazon.rerank-v1:0

  • ai21.jamba-1-5-large-v1:0

  • ai21.jamba-1-5-mini-v1:0

  • anthropic.claude-3-sonnet-20240229-v1:0

  • anthropic.claude-3-5-sonnet-20240620-v1:0

  • anthropic.claude-3-5-sonnet-20241022-v2:0

  • anthropic.claude-3-haiku-20240307-v1:0

  • anthropic.claude-3-5-haiku-20241022-v1:0

  • anthropic.claude-3-opus-20240229-v1:0

  • anthropic.claude-3-7-sonnet-20250219-v1:0

  • anthropic.claude-opus-4-20250514-v1:0

  • anthropic.claude-sonnet-4-20250514-v1:0

  • cohere.command-r-plus-v1:0

  • cohere.command-r-v1:0

  • cohere.embed-english-v3

  • cohere.embed-multilingual-v3

  • cohere.rerank-v3-5:0

  • meta.llama3-8b-instruct-v1:0

  • meta.llama3-70b-instruct-v1:0

  • meta.llama3-1-8b-instruct-v1:0

  • meta.llama3-1-70b-instruct-v1:0

  • meta.llama3-1-405b-instruct-v1:0

  • meta.llama3-2-1b-instruct-v1:0

  • meta.llama3-2-3b-instruct-v1:0

  • meta.llama3-2-11b-instruct-v1:0

  • meta.llama3-2-90b-instruct-v1:0

  • meta.llama3-3-70b-instruct-v1:0

  • meta.llama4-maverick-17b-instruct-v1:0

  • meta.llama4-scout-17b-instruct-v1:0

  • mistral.mistral-7b-instruct-v0:2

  • mistral.mixtral-8x7b-instruct-v0:1

  • mistral.mistral-large-2402-v1:0

  • mistral.mistral-large-2407-v1:0

  • mistral.mistral-small-2402-v1:0

  • mistral.pixtral-large-2502-v1:0

  • stability.sd3-5-large-v1:0

  • stability.stable-image-control-sketch-v1:0

  • stability.stable-image-control-structure-v1:0

  • stability.stable-image-core-v1:1

String

operation (producer)

Required The operation to perform.

Enum values:

  • invokeTextModel

  • invokeImageModel

  • invokeEmbeddingsModel

  • invokeTextModelStreaming

  • invokeImageModelStreaming

  • invokeEmbeddingsModelStreaming

  • converse

  • converseStream

BedrockOperations

overrideEndpoint (producer)

Set the need for overriding the endpoint. This option needs to be used in combination with the uriEndpointOverride option.

false

boolean

pojoRequest (producer)

If we want to use a POJO request as body or not.

false

boolean

profileCredentialsName (producer)

If using a profile credentials provider, this parameter will set the profile name.

false

String

region (producer)

The region in which Bedrock client needs to work. When using this parameter, the configuration will expect the lowercase name of the region (for example, ap-east-1) You’ll need to use the name Region.EU_WEST_1.id().

Enum values:

  • us-east-1

  • us-west-1

  • ap-southeast-1

  • ap-northeast-1

  • eu-central-1

String

streamOutputMode (producer)

The streaming output mode (complete or chunks). In complete mode, the full response is accumulated and returned as a single message. In chunks mode, each chunk is emitted as a separate exchange.

Enum values:

  • complete

  • chunks

complete

String

uriEndpointOverride (producer)

Set the overriding uri endpoint. This option needs to be used in combination with overrideEndpoint option.

String

useDefaultCredentialsProvider (producer)

Set whether the Bedrock client should expect to load credentials through a default credentials provider or to expect static credentials to be passed in.

false

boolean

useProfileCredentialsProvider (producer)

Set whether the Bedrock client should expect to load credentials through a profile credentials provider.

false

boolean

lazyStartProducer (producer (advanced))

Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel’s routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing.

false

boolean

bedrockRuntimeAsyncClient (advanced)

Autowired To use an existing configured AWS Bedrock Runtime Async client for streaming operations.

BedrockRuntimeAsyncClient

bedrockRuntimeClient (advanced)

Autowired To use an existing configured AWS Bedrock Runtime client.

BedrockRuntimeClient

proxyHost (proxy)

To define a proxy host when instantiating the Bedrock client.

String

proxyPort (proxy)

To define a proxy port when instantiating the Bedrock client.

Integer

proxyProtocol (proxy)

To define a proxy protocol when instantiating the Bedrock client.

Enum values:

  • HTTP

  • HTTPS

HTTPS

Protocol

accessKey (security)

Amazon AWS Access Key.

String

secretKey (security)

Amazon AWS Secret Key.

String

sessionToken (security)

Amazon AWS Session Token used when the user needs to assume an IAM role.

String

trustAllCertificates (security)

If we want to trust all certificates in case of overriding the endpoint.

false

boolean

useSessionCredentials (security)

Set whether the Bedrock client should expect to use Session Credentials. This is useful in a situation in which the user needs to assume an IAM role for doing operations in Bedrock.

false

boolean

Required Bedrock component options

You have to provide the bedrockRuntimeClient in the Registry or your accessKey and secretKey to access the Amazon Bedrock service.

Usage

Static credentials, Default Credential Provider and Profile Credentials Provider

You have the possibility of avoiding the usage of explicit static credentials by specifying the useDefaultCredentialsProvider option and set it to true.

The order of evaluation for Default Credentials Provider is the following:

  • Java system properties - aws.accessKeyId and aws.secretKey.

  • Environment variables - AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY.

  • Web Identity Token from AWS STS.

  • The shared credentials and config files.

  • Amazon ECS container credentials - loaded from the Amazon ECS if the environment variable AWS_CONTAINER_CREDENTIALS_RELATIVE_URI is set.

  • Amazon EC2 Instance profile credentials.

You have also the possibility of using Profile Credentials Provider, by specifying the useProfileCredentialsProvider option to true and profileCredentialsName to the profile name.

Only one of static, default and profile credentials could be used at the same time.

For more information about this you can look at AWS credentials documentation

Message Headers

The AWS Bedrock component supports 15 message header(s), which is/are listed below:

Name Description Default Type

CamelAwsBedrockOperation (producer)

Constant: OPERATION

The operation we want to perform.

String

CamelAwsBedrockContentType (producer)

Constant: MODEL_CONTENT_TYPE

The model content type.

String

CamelAwsBedrockAcceptContentType (producer)

Constant: MODEL_ACCEPT_CONTENT_TYPE

The model accept content type.

String

CamelAwsBedrockStreamOutputMode (producer)

Constant: STREAM_OUTPUT_MODE

The streaming output mode (complete or chunks).

String

CamelAwsBedrockCompletionReason (producer)

Constant: STREAMING_COMPLETION_REASON

The completion reason for streaming response.

String

CamelAwsBedrockTokenCount (producer)

Constant: STREAMING_TOKEN_COUNT

The number of tokens generated in streaming response.

Integer

CamelAwsBedrockChunkCount (producer)

Constant: STREAMING_CHUNK_COUNT

The number of chunks received in streaming response.

Integer

CamelAwsBedrockConverseMessages (producer)

Constant: CONVERSE_MESSAGES

The conversation messages for Converse API.

List

CamelAwsBedrockConverseSystem (producer)

Constant: CONVERSE_SYSTEM

The system prompts for Converse API.

List

CamelAwsBedrockConverseInferenceConfig (producer)

Constant: CONVERSE_INFERENCE_CONFIG

The inference configuration for Converse API.

InferenceConfiguration

CamelAwsBedrockConverseToolConfig (producer)

Constant: CONVERSE_TOOL_CONFIG

The tool configuration for Converse API.

ToolConfiguration

CamelAwsBedrockConverseAdditionalFields (producer)

Constant: CONVERSE_ADDITIONAL_MODEL_REQUEST_FIELDS

The additional model request fields for Converse API.

Document

CamelAwsBedrockConverseStopReason (producer)

Constant: CONVERSE_STOP_REASON

The stop reason from Converse API response.

String

CamelAwsBedrockConverseUsage (producer)

Constant: CONVERSE_USAGE

The usage metrics from Converse API response.

TokenUsage

CamelAwsBedrockConverseOutputMessage (producer)

Constant: CONVERSE_OUTPUT_MESSAGE

The output message from Converse API response.

Message

Supported AWS Bedrock Models

  • Titan Text Express V1 with id amazon.titan-text-express-v1 Express is a large language model for text generation. It is useful for a wide range of advanced, general language tasks such as open-ended text generation and conversational chat, as well as support within Retrieval Augmented Generation (RAG).

Json schema for request

{
  "$schema": "http://json-schema.org/draft-04/schema#",
  "type": "object",
  "properties": {
    "inputText": {
      "type": "string"
    },
    "textGenerationConfig": {
      "type": "object",
      "properties": {
        "maxTokenCount": {
          "type": "integer"
        },
        "stopSequences": {
          "type": "array",
          "items": [
            {
              "type": "string"
            }
          ]
        },
        "temperature": {
          "type": "integer"
        },
        "topP": {
          "type": "integer"
        }
      },
      "required": [
        "maxTokenCount",
        "stopSequences",
        "temperature",
        "topP"
      ]
    }
  },
  "required": [
    "inputText",
    "textGenerationConfig"
  ]
}

  • Titan Text Lite V1 with id amazon.titan-text-lite-v1 Lite is a light weight efficient model, ideal for fine-tuning of English-language tasks.

Json schema for request

{
  "$schema": "http://json-schema.org/draft-04/schema#",
  "type": "object",
  "properties": {
    "inputText": {
      "type": "string"
    },
    "textGenerationConfig": {
      "type": "object",
      "properties": {
        "maxTokenCount": {
          "type": "integer"
        },
        "stopSequences": {
          "type": "array",
          "items": [
            {
              "type": "string"
            }
          ]
        },
        "temperature": {
          "type": "integer"
        },
        "topP": {
          "type": "integer"
        }
      },
      "required": [
        "maxTokenCount",
        "stopSequences",
        "temperature",
        "topP"
      ]
    }
  },
  "required": [
    "inputText",
    "textGenerationConfig"
  ]
}

  • Titan Image Generator G1 with id amazon.titan-image-generator-v1 It generates images from text, and allows users to upload and edit an existing image. Users can edit an image with a text prompt (without a mask) or parts of an image with an image mask. You can extend the boundaries of an image with outpainting, and fill in an image with inpainting.

Json schema for request

{
  "$schema": "http://json-schema.org/draft-04/schema#",
  "type": "object",
  "properties": {
    "textToImageParams": {
      "type": "object",
      "properties": {
        "text": {
          "type": "string"
        },
        "negativeText": {
          "type": "string"
        }
      },
      "required": [
        "text",
        "negativeText"
      ]
    },
    "taskType": {
      "type": "string"
    },
    "imageGenerationConfig": {
      "type": "object",
      "properties": {
        "cfgScale": {
          "type": "integer"
        },
        "seed": {
          "type": "integer"
        },
        "quality": {
          "type": "string"
        },
        "width": {
          "type": "integer"
        },
        "height": {
          "type": "integer"
        },
        "numberOfImages": {
          "type": "integer"
        }
      },
      "required": [
        "cfgScale",
        "seed",
        "quality",
        "width",
        "height",
        "numberOfImages"
      ]
    }
  },
  "required": [
    "textToImageParams",
    "taskType",
    "imageGenerationConfig"
  ]
}

  • Titan Embeddings G1 with id amazon.titan-embed-text-v1 The Amazon Titan Embeddings G1 - Text – Text v1.2 can intake up to 8k tokens and outputs a vector of 1,536 dimensions. The model also works in 25+ different language

Json schema for request

{
  "$schema": "http://json-schema.org/draft-04/schema#",
  "type": "object",
  "properties": {
    "inputText": {
      "type": "string"
    }
  },
  "required": [
    "inputText"
  ]
}

  • Jurassic2-Ultra with id ai21.j2-ultra-v1 Jurassic-2 Ultra is AI21’s most powerful model for complex tasks that require advanced text generation and comprehension.

Json schema for request

{
  "$schema": "http://json-schema.org/draft-04/schema#",
  "type": "object",
  "properties": {
    "prompt": {
      "type": "string"
    },
    "maxTokens": {
      "type": "integer"
    },
    "temperature": {
      "type": "integer"
    },
    "topP": {
      "type": "integer"
    },
    "stopSequences": {
      "type": "array",
      "items": [
        {
          "type": "string"
        }
      ]
    },
    "presencePenalty": {
      "type": "object",
      "properties": {
        "scale": {
          "type": "integer"
        }
      },
      "required": [
        "scale"
      ]
    },
    "frequencyPenalty": {
      "type": "object",
      "properties": {
        "scale": {
          "type": "integer"
        }
      },
      "required": [
        "scale"
      ]
    }
  },
  "required": [
    "prompt",
    "maxTokens",
    "temperature",
    "topP",
    "stopSequences",
    "presencePenalty",
    "frequencyPenalty"
  ]
}

  • Jurassic2-Mid with id ai21.j2-mid-v1 Jurassic-2 Mid is less powerful than Ultra, yet carefully designed to strike the right balance between exceptional quality and affordability.

Json schema for request

{
  "$schema": "http://json-schema.org/draft-04/schema#",
  "type": "object",
  "properties": {
    "prompt": {
      "type": "string"
    },
    "maxTokens": {
      "type": "integer"
    },
    "temperature": {
      "type": "integer"
    },
    "topP": {
      "type": "integer"
    },
    "stopSequences": {
      "type": "array",
      "items": [
        {
          "type": "string"
        }
      ]
    },
    "presencePenalty": {
      "type": "object",
      "properties": {
        "scale": {
          "type": "integer"
        }
      },
      "required": [
        "scale"
      ]
    },
    "frequencyPenalty": {
      "type": "object",
      "properties": {
        "scale": {
          "type": "integer"
        }
      },
      "required": [
        "scale"
      ]
    }
  },
  "required": [
    "prompt",
    "maxTokens",
    "temperature",
    "topP",
    "stopSequences",
    "presencePenalty",
    "frequencyPenalty"
  ]
}

  • Claude Instant V1.2 with id anthropic.claude-instant-v1 A fast, affordable yet still very capable model, which can handle a range of tasks including casual dialogue, text analysis, summarization, and document question-answering.

Json schema for request

{
  "$schema": "http://json-schema.org/draft-04/schema#",
  "type": "object",
  "properties": {
    "prompt": {
      "type": "string"
    },
    "max_tokens_to_sample": {
      "type": "integer"
    },
    "stop_sequences": {
      "type": "array",
      "items": [
        {
          "type": "string"
        }
      ]
    },
    "temperature": {
      "type": "number"
    },
    "top_p": {
      "type": "integer"
    },
    "top_k": {
      "type": "integer"
    },
    "anthropic_version": {
      "type": "string"
    }
  },
  "required": [
    "prompt",
    "max_tokens_to_sample",
    "stop_sequences",
    "temperature",
    "top_p",
    "top_k",
    "anthropic_version"
  ]
}

  • Claude 2 with id anthropic.claude-v2 Anthropic’s highly capable model across a wide range of tasks from sophisticated dialogue and creative content generation to detailed instruction following.

Json schema for request

{
  "$schema": "http://json-schema.org/draft-04/schema#",
  "type": "object",
  "properties": {
    "prompt": {
      "type": "string"
    },
    "max_tokens_to_sample": {
      "type": "integer"
    },
    "stop_sequences": {
      "type": "array",
      "items": [
        {
          "type": "string"
        }
      ]
    },
    "temperature": {
      "type": "number"
    },
    "top_p": {
      "type": "integer"
    },
    "top_k": {
      "type": "integer"
    },
    "anthropic_version": {
      "type": "string"
    }
  },
  "required": [
    "prompt",
    "max_tokens_to_sample",
    "stop_sequences",
    "temperature",
    "top_p",
    "top_k",
    "anthropic_version"
  ]
}

  • Claude 2.1 with id anthropic.claude-v2:1 An update to Claude 2 that features double the context window, plus improvements across reliability, hallucination rates, and evidence-based accuracy in long document and RAG contexts.

Json schema for request

{
  "$schema": "http://json-schema.org/draft-04/schema#",
  "type": "object",
  "properties": {
    "prompt": {
      "type": "string"
    },
    "max_tokens_to_sample": {
      "type": "integer"
    },
    "stop_sequences": {
      "type": "array",
      "items": [
        {
          "type": "string"
        }
      ]
    },
    "temperature": {
      "type": "number"
    },
    "top_p": {
      "type": "integer"
    },
    "top_k": {
      "type": "integer"
    },
    "anthropic_version": {
      "type": "string"
    }
  },
  "required": [
    "prompt",
    "max_tokens_to_sample",
    "stop_sequences",
    "temperature",
    "top_p",
    "top_k",
    "anthropic_version"
  ]
}

  • Claude 3 Sonnet with id anthropic.claude-3-sonnet-20240229-v1:0 Claude 3 Sonnet by Anthropic strikes the ideal balance between intelligence and speed—particularly for enterprise workloads.

Json schema for request

{
  "$schema": "http://json-schema.org/draft-04/schema#",
  "type": "object",
  "properties": {
    "messages": {
      "type": "array",
      "items": [
        {
          "type": "object",
          "properties": {
            "role": {
              "type": "string"
            },
            "content": {
              "type": "array",
              "items": [
                {
                  "type": "object",
                  "properties": {
                    "type": {
                      "type": "string"
                    },
                    "text": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "type",
                    "text"
                  ]
                }
              ]
            }
          },
          "required": [
            "role",
            "content"
          ]
        }
      ]
    },
    "max_tokens": {
      "type": "integer"
    },
    "anthropic_version": {
      "type": "string"
    }
  },
  "required": [
    "messages",
    "max_tokens",
    "anthropic_version"
  ]
}

  • Claude 3 Haiku with id anthropic.claude-3-haiku-20240307-v1:0 Claude 3 Haiku is Anthropic’s fastest, most compact model for near-instant responsiveness. It answers simple queries and requests with speed.

Json schema for request

{
  "$schema": "http://json-schema.org/draft-04/schema#",
  "type": "object",
  "properties": {
    "messages": {
      "type": "array",
      "items": [
        {
          "type": "object",
          "properties": {
            "role": {
              "type": "string"
            },
            "content": {
              "type": "array",
              "items": [
                {
                  "type": "object",
                  "properties": {
                    "type": {
                      "type": "string"
                    },
                    "text": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "type",
                    "text"
                  ]
                }
              ]
            }
          },
          "required": [
            "role",
            "content"
          ]
        }
      ]
    },
    "max_tokens": {
      "type": "integer"
    },
    "anthropic_version": {
      "type": "string"
    }
  },
  "required": [
    "messages",
    "max_tokens",
    "anthropic_version"
  ]
}

Bedrock Producer operations

Camel-AWS Bedrock component provides the following operation on the producer side:

  • invokeTextModel

  • invokeImageModel

  • invokeEmbeddingsModel

  • invokeTextModelStreaming

  • invokeImageModelStreaming

  • invokeEmbeddingsModelStreaming

  • converse

  • converseStream

Streaming Support

The streaming operations (invokeTextModelStreaming, invokeImageModelStreaming, invokeEmbeddingsModelStreaming) enable real-time streaming of model responses, providing lower latency and better user experience for interactive applications.

Streaming Output Modes

Two streaming modes are supported:

Complete Mode (default): Accumulates all chunks and returns the complete response as a single message. This is the simplest mode and behaves similarly to non-streaming operations, but with lower time-to-first-token.

Chunks Mode: Emits each chunk as it arrives in a List. Useful for reactive streaming pipelines or when you need to process chunks individually.

Streaming Configuration Options

  • streamOutputMode: Set to "complete" (default) or "chunks"

  • includeStreamingMetadata: Whether to include metadata headers (default: true)

Streaming Metadata Headers

When includeStreamingMetadata is true, the following headers are set:

  • CamelAwsBedrockCompletionReason: The reason the model stopped generating (e.g., "FINISH", "end_turn", "stop")

  • CamelAwsBedrockTokenCount: The number of tokens generated (if provided by the model)

  • CamelAwsBedrockChunkCount: The number of chunks received

Supported Models for Streaming

All text generation models support streaming: - Amazon Titan (all text models) - Anthropic Claude (all versions) - Meta Llama (all versions) - Mistral AI (all models) - Cohere Command models - Amazon Nova models

Converse API Support

The Converse API provides a unified, model-agnostic interface for conversational AI interactions with AWS Bedrock models. It offers several advantages over the legacy InvokeModel API:

  • Unified Interface: Single API across all supported models (Claude, Llama, Mistral, etc.)

  • Multi-turn Conversations: Native support for conversation history with user/assistant roles

  • Tool Use & Function Calling: Built-in support for tools and function calling

  • System Prompts: First-class support for system-level instructions

  • Structured Responses: Consistent response format across all models

  • Streaming Support: Real-time streaming with the converseStream operation

Converse Operations

Two operations are provided:

converse: Standard request-response conversation

aws-bedrock://label?operation=converse&modelId=anthropic.claude-3-sonnet-20240229-v1:0

converseStream: Streaming conversation with real-time chunk delivery

aws-bedrock://label?operation=converseStream&modelId=anthropic.claude-3-sonnet-20240229-v1:0

Converse Configuration Options

Converse API uses message headers for configuration:

  • CamelAwsBedrockConverseMessages (required): List of Message objects representing the conversation

  • CamelAwsBedrockConverseSystem: List of SystemContentBlock for system-level instructions

  • CamelAwsBedrockConverseInferenceConfig: InferenceConfiguration for temperature, maxTokens, etc.

  • CamelAwsBedrockConverseToolConfig: ToolConfiguration for function calling support

  • CamelAwsBedrockConverseAdditionalFields: Document for model-specific additional fields

For streaming operations, you can also use: - CamelAwsBedrockStreamOutputMode: Set to "complete" (default) or "chunks"

Converse Response Headers

When a conversation completes, the following headers are set:

  • CamelAwsBedrockConverseStopReason: Why the model stopped (e.g., "end_turn", "max_tokens")

  • CamelAwsBedrockConverseUsage: TokenUsage object with input/output token counts

  • CamelAwsBedrockConverseOutputMessage: The complete Message object from the model

  • CamelAwsBedrockChunkCount: (streaming only) Number of chunks received

Supported Models for Converse API

The Converse API supports all modern foundation models on Bedrock:

  • Anthropic Claude 3 family (Haiku, Sonnet, Opus)

  • Anthropic Claude 3.5 family (Sonnet v2, Haiku)

  • Amazon Nova family (Micro, Lite, Pro)

  • Meta Llama 3.x models

  • Mistral AI models

  • Cohere Command R models

Legacy models (Claude 2.x, Claude Instant) are not supported by the Converse API. Use the invokeTextModel operation for those models.

Examples

Producer Examples

  • invokeTextModel: this operation will invoke a model from Bedrock. This is an example for both Titan Express and Titan Lite.

from("direct:invoke")
    .to("aws-bedrock://test?bedrockRuntimeClient=#amazonBedrockRuntimeClient&operation=invokeTextModel&modelId="
                            + BedrockModels.TITAN_TEXT_EXPRESS_V1.model))

and you can then send to the direct endpoint something like

        final Exchange result = template.send("direct:invoke", exchange -> {
            ObjectMapper mapper = new ObjectMapper();
            ObjectNode rootNode = mapper.createObjectNode();
            rootNode.put("inputText",
                    "User: Generate synthetic data for daily product sales in various categories - include row number, product name, category, date of sale and price. Produce output in JSON format. Count records and ensure there are no more than 5.");

            ArrayNode stopSequences = mapper.createArrayNode();
            stopSequences.add("User:");
            ObjectNode childNode = mapper.createObjectNode();
            childNode.put("maxTokenCount", 1024);
            childNode.put("stopSequences", stopSequences);
            childNode.put("temperature", 0).put("topP", 1);

            rootNode.put("textGenerationConfig", childNode);
            exchange.getMessage().setBody(mapper.writer().writeValueAsString(rootNode));
            exchange.getMessage().setHeader(BedrockConstants.MODEL_CONTENT_TYPE, "application/json");
            exchange.getMessage().setHeader(BedrockConstants.MODEL_ACCEPT_CONTENT_TYPE, "application/json");
        });

where template is a ProducerTemplate.

  • invokeImageModel: this operation will invoke a model from Bedrock. This is an example for both Titan Express and Titan Lite.

from("direct:invoke")
    .to("aws-bedrock://test?bedrockRuntimeClient=#amazonBedrockRuntimeClient&operation=invokeImageModel&modelId="
                            + BedrockModels.TITAN_IMAGE_GENERATOR_V1.model))
                        .split(body())
                        .unmarshal().base64()
                        .setHeader("CamelFileName", simple("image-${random(128)}.png")).to("file:target/generated_images")

and you can then send to the direct endpoint something like

        final Exchange result = template.send("direct:send_titan_image", exchange -> {
            ObjectMapper mapper = new ObjectMapper();
            ObjectNode rootNode = mapper.createObjectNode();
            ObjectNode textParameter = mapper.createObjectNode();
            textParameter.putIfAbsent("text",
                    new TextNode("A Sci-fi camel running in the desert"));
            rootNode.putIfAbsent("textToImageParams", textParameter);
            rootNode.putIfAbsent("taskType", new TextNode("TEXT_IMAGE"));
            ObjectNode childNode = mapper.createObjectNode();
            childNode.putIfAbsent("numberOfImages", new IntNode(3));
            childNode.putIfAbsent("quality", new TextNode("standard"));
            childNode.putIfAbsent("cfgScale", new IntNode(8));
            childNode.putIfAbsent("height", new IntNode(512));
            childNode.putIfAbsent("width", new IntNode(512));
            childNode.putIfAbsent("seed", new IntNode(0));

            rootNode.putIfAbsent("imageGenerationConfig", childNode);

            exchange.getMessage().setBody(mapper.writer().writeValueAsString(rootNode));
            exchange.getMessage().setHeader(BedrockConstants.MODEL_CONTENT_TYPE, "application/json");
            exchange.getMessage().setHeader(BedrockConstants.MODEL_ACCEPT_CONTENT_TYPE, "application/json");
        });

where template is a ProducerTemplate.

  • invokeEmbeddingsModel: this operation will invoke an Embeddings model from Bedrock. This is an example for Titan Embeddings G1.

from("direct:send_titan_embeddings")
    .to("aws-bedrock:label?useDefaultCredentialsProvider=true&region=us-east-1&operation=invokeEmbeddingsModel&modelId="
    + BedrockModels.TITAN_EMBEDDINGS_G1.model)
    .to(result);

and you can then send to the direct endpoint something like

        final Exchange result = template.send("direct:send_titan_embeddings", exchange -> {
            ObjectMapper mapper = new ObjectMapper();
            ObjectNode rootNode = mapper.createObjectNode();
            rootNode.putIfAbsent("inputText",
                    new TextNode("A Sci-fi camel running in the desert"));

            exchange.getMessage().setBody(mapper.writer().writeValueAsString(rootNode));
            exchange.getMessage().setHeader(BedrockConstants.MODEL_CONTENT_TYPE, "application/json");
            exchange.getMessage().setHeader(BedrockConstants.MODEL_ACCEPT_CONTENT_TYPE, "*/*");
        });

where template is a ProducerTemplate.

  • invokeTextModelStreaming (Complete Mode): this operation will invoke a model from Bedrock with streaming, accumulating the complete response.

from("direct:stream_complete")
    .to("aws-bedrock://test?useDefaultCredentialsProvider=true&region=us-east-1"
        + "&operation=invokeTextModelStreaming&modelId=" + BedrockModels.TITAN_TEXT_EXPRESS_V1.model
        + "&streamOutputMode=complete")
    .to("log:response");

and you can then send to the direct endpoint something like

        final Exchange result = template.send("direct:stream_complete", exchange -> {
            ObjectMapper mapper = new ObjectMapper();
            ObjectNode rootNode = mapper.createObjectNode();
            rootNode.put("inputText", "Write a short poem about Apache Camel.");

            ArrayNode stopSequences = mapper.createArrayNode();
            stopSequences.add("User:");
            ObjectNode childNode = mapper.createObjectNode();
            childNode.put("maxTokenCount", 512);
            childNode.put("stopSequences", stopSequences);
            childNode.put("temperature", 0).put("topP", 1);

            rootNode.put("textGenerationConfig", childNode);
            exchange.getMessage().setBody(mapper.writer().writeValueAsString(rootNode));
            exchange.getMessage().setHeader(BedrockConstants.MODEL_CONTENT_TYPE, "application/json");
            exchange.getMessage().setHeader(BedrockConstants.MODEL_ACCEPT_CONTENT_TYPE, "application/json");
        });

        // Get the complete response
        String response = result.getMessage().getBody(String.class);

        // Get streaming metadata
        Integer tokenCount = result.getMessage().getHeader(BedrockConstants.STREAMING_TOKEN_COUNT, Integer.class);
        String completionReason = result.getMessage().getHeader(BedrockConstants.STREAMING_COMPLETION_REASON, String.class);
        Integer chunkCount = result.getMessage().getHeader(BedrockConstants.STREAMING_CHUNK_COUNT, Integer.class);

  • invokeTextModelStreaming (Chunks Mode): this operation will invoke a model from Bedrock with streaming, emitting individual chunks.

from("direct:stream_chunks")
    .to("aws-bedrock://test?useDefaultCredentialsProvider=true&region=us-east-1"
        + "&operation=invokeTextModelStreaming&modelId=" + BedrockModels.ANTROPHIC_CLAUDE_V35_2.model
        + "&streamOutputMode=chunks")
    .split(body())
        .to("websocket:chat-output");  // Send each chunk to websocket

and you can then send to the direct endpoint something like

        final Exchange result = template.send("direct:stream_chunks", exchange -> {
            ObjectMapper mapper = new ObjectMapper();
            ObjectNode rootNode = mapper.createObjectNode();

            ArrayNode messages = mapper.createArrayNode();
            ObjectNode message = mapper.createObjectNode();
            message.put("role", "user");

            ArrayNode content = mapper.createArrayNode();
            ObjectNode contentBlock = mapper.createObjectNode();
            contentBlock.put("type", "text");
            contentBlock.put("text", "Explain Apache Camel in one sentence.");
            content.add(contentBlock);

            message.put("content", content);
            messages.add(message);

            rootNode.put("messages", messages);
            rootNode.put("max_tokens", 200);
            rootNode.put("anthropic_version", "bedrock-2023-05-31");

            exchange.getMessage().setBody(mapper.writer().writeValueAsString(rootNode));
            exchange.getMessage().setHeader(BedrockConstants.MODEL_CONTENT_TYPE, "application/json");
            exchange.getMessage().setHeader(BedrockConstants.MODEL_ACCEPT_CONTENT_TYPE, "application/json");
        });

        // Get the list of chunks
        List<String> chunks = result.getMessage().getBody(List.class);

        // Process each chunk
        for (String chunk : chunks) {
            System.out.println("Chunk: " + chunk);
        }

  • converse: this operation uses the unified Converse API for model-agnostic conversations.

from("direct:converse")
    .to("aws-bedrock://test?useDefaultCredentialsProvider=true&region=us-east-1"
        + "&operation=converse&modelId=" + BedrockModels.ANTROPHIC_CLAUDE_V3.model)
    .to("log:response");

and you can then send to the direct endpoint something like

        final Exchange result = template.send("direct:converse", exchange -> {
            // Create a conversation message
            List<software.amazon.awssdk.services.bedrockruntime.model.Message> messages = new ArrayList<>();
            messages.add(software.amazon.awssdk.services.bedrockruntime.model.Message.builder()
                    .role(software.amazon.awssdk.services.bedrockruntime.model.ConversationRole.USER)
                    .content(software.amazon.awssdk.services.bedrockruntime.model.ContentBlock
                            .fromText("What is Apache Camel and what are its main features?"))
                    .build());

            exchange.getMessage().setHeader(BedrockConstants.CONVERSE_MESSAGES, messages);

            // Optional: Add inference configuration
            software.amazon.awssdk.services.bedrockruntime.model.InferenceConfiguration inferenceConfig
                    = software.amazon.awssdk.services.bedrockruntime.model.InferenceConfiguration.builder()
                            .maxTokens(500)
                            .temperature(0.7f)
                            .build();
            exchange.getMessage().setHeader(BedrockConstants.CONVERSE_INFERENCE_CONFIG, inferenceConfig);

            // Optional: Add system prompt
            List<software.amazon.awssdk.services.bedrockruntime.model.SystemContentBlock> systemPrompt = new ArrayList<>();
            systemPrompt.add(software.amazon.awssdk.services.bedrockruntime.model.SystemContentBlock
                    .fromText("You are a helpful assistant that explains software concepts clearly and concisely."));
            exchange.getMessage().setHeader(BedrockConstants.CONVERSE_SYSTEM, systemPrompt);
        });

        // Get the response text
        String response = result.getMessage().getBody(String.class);

        // Get metadata from headers
        String stopReason = result.getMessage().getHeader(BedrockConstants.CONVERSE_STOP_REASON, String.class);
        software.amazon.awssdk.services.bedrockruntime.model.TokenUsage usage
                = result.getMessage().getHeader(BedrockConstants.CONVERSE_USAGE,
                        software.amazon.awssdk.services.bedrockruntime.model.TokenUsage.class);

        System.out.println("Response: " + response);
        System.out.println("Stop reason: " + stopReason);
        System.out.println("Input tokens: " + usage.inputTokens());
        System.out.println("Output tokens: " + usage.outputTokens());

  • converseStream (Complete Mode): this operation uses the Converse API with streaming, accumulating the complete response.

from("direct:converse_stream")
    .to("aws-bedrock://test?useDefaultCredentialsProvider=true&region=us-east-1"
        + "&operation=converseStream&modelId=" + BedrockModels.ANTROPHIC_CLAUDE_V3.model)
    .to("log:response");

and you can then send to the direct endpoint something like

        final Exchange result = template.send("direct:converse_stream", exchange -> {
            // Create a conversation message
            List<software.amazon.awssdk.services.bedrockruntime.model.Message> messages = new ArrayList<>();
            messages.add(software.amazon.awssdk.services.bedrockruntime.model.Message.builder()
                    .role(software.amazon.awssdk.services.bedrockruntime.model.ConversationRole.USER)
                    .content(software.amazon.awssdk.services.bedrockruntime.model.ContentBlock
                            .fromText("Explain the Enterprise Integration Patterns in three sentences."))
                    .build());

            exchange.getMessage().setHeader(BedrockConstants.CONVERSE_MESSAGES, messages);
            exchange.getMessage().setHeader(BedrockConstants.STREAM_OUTPUT_MODE, "complete");

            // Optional: Add inference configuration
            software.amazon.awssdk.services.bedrockruntime.model.InferenceConfiguration inferenceConfig
                    = software.amazon.awssdk.services.bedrockruntime.model.InferenceConfiguration.builder()
                            .maxTokens(300)
                            .temperature(0.5f)
                            .build();
            exchange.getMessage().setHeader(BedrockConstants.CONVERSE_INFERENCE_CONFIG, inferenceConfig);
        });

        // Get the complete streamed response
        String response = result.getMessage().getBody(String.class);
        Integer chunkCount = result.getMessage().getHeader(BedrockConstants.STREAMING_CHUNK_COUNT, Integer.class);

        System.out.println("Response: " + response);
        System.out.println("Received " + chunkCount + " chunks");

  • converseStream (Chunks Mode): this operation uses the Converse API with streaming, emitting individual chunks.

from("direct:converse_stream_chunks")
    .to("aws-bedrock://test?useDefaultCredentialsProvider=true&region=us-east-1"
        + "&operation=converseStream&modelId=" + BedrockModels.ANTROPHIC_CLAUDE_V3.model)
    .split(body())
        .to("websocket:chat-output");  // Send each chunk to websocket

and you can then send to the direct endpoint something like

        final Exchange result = template.send("direct:converse_stream_chunks", exchange -> {
            // Create a conversation message
            List<software.amazon.awssdk.services.bedrockruntime.model.Message> messages = new ArrayList<>();
            messages.add(software.amazon.awssdk.services.bedrockruntime.model.Message.builder()
                    .role(software.amazon.awssdk.services.bedrockruntime.model.ConversationRole.USER)
                    .content(software.amazon.awssdk.services.bedrockruntime.model.ContentBlock
                            .fromText("Write a haiku about software integration."))
                    .build());

            exchange.getMessage().setHeader(BedrockConstants.CONVERSE_MESSAGES, messages);
            exchange.getMessage().setHeader(BedrockConstants.STREAM_OUTPUT_MODE, "chunks");
        });

        // Get the list of chunks
        List<String> chunks = result.getMessage().getBody(List.class);

        // Process each chunk as it was received
        for (String chunk : chunks) {
            System.out.println("Chunk: " + chunk);
        }

  • Multi-turn Conversation with Converse API: demonstrates maintaining conversation history.

from("direct:conversation")
    .to("aws-bedrock://test?useDefaultCredentialsProvider=true&region=us-east-1"
        + "&operation=converse&modelId=" + BedrockModels.ANTROPHIC_CLAUDE_V3.model)
    .to("log:response");

and you can then send to the direct endpoint something like

        // Maintain conversation history
        List<software.amazon.awssdk.services.bedrockruntime.model.Message> conversationHistory = new ArrayList<>();

        // First turn
        conversationHistory.add(software.amazon.awssdk.services.bedrockruntime.model.Message.builder()
                .role(software.amazon.awssdk.services.bedrockruntime.model.ConversationRole.USER)
                .content(software.amazon.awssdk.services.bedrockruntime.model.ContentBlock
                        .fromText("What is Apache Camel?"))
                .build());

        Exchange result1 = template.send("direct:conversation", exchange -> {
            exchange.getMessage().setHeader(BedrockConstants.CONVERSE_MESSAGES,
                    new ArrayList<>(conversationHistory));
        });

        // Add assistant's response to history
        software.amazon.awssdk.services.bedrockruntime.model.Message assistantMessage
                = result1.getMessage().getHeader(BedrockConstants.CONVERSE_OUTPUT_MESSAGE,
                        software.amazon.awssdk.services.bedrockruntime.model.Message.class);
        conversationHistory.add(assistantMessage);

        // Second turn - follow-up question
        conversationHistory.add(software.amazon.awssdk.services.bedrockruntime.model.Message.builder()
                .role(software.amazon.awssdk.services.bedrockruntime.model.ConversationRole.USER)
                .content(software.amazon.awssdk.services.bedrockruntime.model.ContentBlock
                        .fromText("Can you give me a simple example?"))
                .build());

        Exchange result2 = template.send("direct:conversation", exchange -> {
            exchange.getMessage().setHeader(BedrockConstants.CONVERSE_MESSAGES,
                    new ArrayList<>(conversationHistory));
        });

        String followUpResponse = result2.getMessage().getBody(String.class);
        System.out.println("Follow-up response: " + followUpResponse);

Dependencies

Maven users will need to add the following dependency to their pom.xml.

pom.xml

<dependency>
    <groupId>org.apache.camel</groupId>
    <artifactId>camel-aws-bedrock</artifactId>
    <version>${camel-version}</version>
</dependency>

where ${camel-version} must be replaced by the actual version of Camel.

Spring Boot Auto-Configuration

When using aws-bedrock with Spring Boot make sure to use the following Maven dependency to have support for auto configuration:

<dependency>
  <groupId>org.apache.camel.springboot</groupId>
  <artifactId>camel-aws-bedrock-starter</artifactId>
  <version>x.x.x</version>
  <!-- use the same version as your Camel core version -->
</dependency>

The component supports 80 options, which are listed below.

Name Description Default Type

camel.component.aws-bedrock-agent-runtime.access-key

Amazon AWS Access Key.

String

camel.component.aws-bedrock-agent-runtime.autowired-enabled

Whether autowiring is enabled. This is used for automatic autowiring options (the option must be marked as autowired) by looking up in the registry to find if there is a single instance of matching type, which then gets configured on the component. This can be used for automatic configuring JDBC data sources, JMS connection factories, AWS Clients, etc.

true

Boolean

camel.component.aws-bedrock-agent-runtime.bedrock-agent-runtime-client

To use an existing configured AWS Bedrock Agent Runtime client. The option is a software.amazon.awssdk.services.bedrockagentruntime.BedrockAgentRuntimeClient type.

BedrockAgentRuntimeClient

camel.component.aws-bedrock-agent-runtime.configuration

Component configuration. The option is a org.apache.camel.component.aws2.bedrock.agentruntime.BedrockAgentRuntimeConfiguration type.

BedrockAgentRuntimeConfiguration

camel.component.aws-bedrock-agent-runtime.enabled

Whether to enable auto configuration of the aws-bedrock-agent-runtime component. This is enabled by default.

Boolean

camel.component.aws-bedrock-agent-runtime.health-check-consumer-enabled

Used for enabling or disabling all consumer based health checks from this component.

true

Boolean

camel.component.aws-bedrock-agent-runtime.health-check-producer-enabled

Used for enabling or disabling all producer based health checks from this component. Notice: Camel has by default disabled all producer based health-checks. You can turn on producer checks globally by setting camel.health.producersEnabled=true.

true

Boolean

camel.component.aws-bedrock-agent-runtime.knowledge-base-id

Define the Knowledge Base Id we are going to use.

String

camel.component.aws-bedrock-agent-runtime.lazy-start-producer

Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel’s routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing.

false

Boolean

camel.component.aws-bedrock-agent-runtime.model-id

Define the model Id we are going to use.

String

camel.component.aws-bedrock-agent-runtime.operation

The operation to perform.

BedrockAgentRuntimeOperations

camel.component.aws-bedrock-agent-runtime.override-endpoint

Set the need for overriding the endpoint. This option needs to be used in combination with the uriEndpointOverride option.

false

Boolean

camel.component.aws-bedrock-agent-runtime.pojo-request

If we want to use a POJO request as body or not.

false

Boolean

camel.component.aws-bedrock-agent-runtime.profile-credentials-name

If using a profile credentials provider, this parameter will set the profile name.

false

String

camel.component.aws-bedrock-agent-runtime.proxy-host

To define a proxy host when instantiating the Bedrock Agent Runtime client.

String

camel.component.aws-bedrock-agent-runtime.proxy-port

To define a proxy port when instantiating the Bedrock Agent Runtime client.

Integer

camel.component.aws-bedrock-agent-runtime.proxy-protocol

To define a proxy protocol when instantiating the Bedrock Agent Runtime client.

https

Protocol

camel.component.aws-bedrock-agent-runtime.region

The region in which Bedrock Agent Runtime client needs to work. When using this parameter, the configuration will expect the lowercase name of the region (for example, ap-east-1) You’ll need to use the name Region.EU_WEST_1.id().

String

camel.component.aws-bedrock-agent-runtime.secret-key

Amazon AWS Secret Key.

String

camel.component.aws-bedrock-agent-runtime.session-token

Amazon AWS Session Token used when the user needs to assume an IAM role.

String

camel.component.aws-bedrock-agent-runtime.trust-all-certificates

If we want to trust all certificates in case of overriding the endpoint.

false

Boolean

camel.component.aws-bedrock-agent-runtime.uri-endpoint-override

Set the overriding uri endpoint. This option needs to be used in combination with overrideEndpoint option.

String

camel.component.aws-bedrock-agent-runtime.use-default-credentials-provider

Set whether the Bedrock Agent Runtime client should expect to load credentials through a default credentials provider or to expect static credentials to be passed in.

false

Boolean

camel.component.aws-bedrock-agent-runtime.use-profile-credentials-provider

Set whether the Bedrock Agent Runtime client should expect to load credentials through a profile credentials provider.

false

Boolean

camel.component.aws-bedrock-agent-runtime.use-session-credentials

Set whether the Bedrock Agent Runtime client should expect to use Session Credentials. This is useful in a situation in which the user needs to assume an IAM role for doing operations in Bedrock.

false

Boolean

camel.component.aws-bedrock-agent.access-key

Amazon AWS Access Key.

String

camel.component.aws-bedrock-agent.autowired-enabled

Whether autowiring is enabled. This is used for automatic autowiring options (the option must be marked as autowired) by looking up in the registry to find if there is a single instance of matching type, which then gets configured on the component. This can be used for automatic configuring JDBC data sources, JMS connection factories, AWS Clients, etc.

true

Boolean

camel.component.aws-bedrock-agent.bedrock-agent-client

To use an existing configured AWS Bedrock Agent client. The option is a software.amazon.awssdk.services.bedrockagent.BedrockAgentClient type.

BedrockAgentClient

camel.component.aws-bedrock-agent.bridge-error-handler

Allows for bridging the consumer to the Camel routing Error Handler, which mean any exceptions (if possible) occurred while the Camel consumer is trying to pickup incoming messages, or the likes, will now be processed as a message and handled by the routing Error Handler. Important: This is only possible if the 3rd party component allows Camel to be alerted if an exception was thrown. Some components handle this internally only, and therefore bridgeErrorHandler is not possible. In other situations we may improve the Camel component to hook into the 3rd party component and make this possible for future releases. By default the consumer will use the org.apache.camel.spi.ExceptionHandler to deal with exceptions, that will be logged at WARN or ERROR level and ignored.

false

Boolean

camel.component.aws-bedrock-agent.configuration

Component configuration. The option is a org.apache.camel.component.aws2.bedrock.agent.BedrockAgentConfiguration type.

BedrockAgentConfiguration

camel.component.aws-bedrock-agent.data-source-id

Define the Data source Id we are going to use.

String

camel.component.aws-bedrock-agent.enabled

Whether to enable auto configuration of the aws-bedrock-agent component. This is enabled by default.

Boolean

camel.component.aws-bedrock-agent.health-check-consumer-enabled

Used for enabling or disabling all consumer based health checks from this component.

true

Boolean

camel.component.aws-bedrock-agent.health-check-producer-enabled

Used for enabling or disabling all producer based health checks from this component. Notice: Camel has by default disabled all producer based health-checks. You can turn on producer checks globally by setting camel.health.producersEnabled=true.

true

Boolean

camel.component.aws-bedrock-agent.ingestion-job-id

Define the Ingestion Job Id we want to track.

String

camel.component.aws-bedrock-agent.knowledge-base-id

Define the Knowledge Base Id we are going to use.

String

camel.component.aws-bedrock-agent.lazy-start-producer

Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel’s routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing.

false

Boolean

camel.component.aws-bedrock-agent.model-id

Define the model Id we are going to use.

String

camel.component.aws-bedrock-agent.operation

The operation to perform.

BedrockAgentOperations

camel.component.aws-bedrock-agent.override-endpoint

Set the need for overriding the endpoint. This option needs to be used in combination with the uriEndpointOverride option.

false

Boolean

camel.component.aws-bedrock-agent.pojo-request

If we want to use a POJO request as body or not.

false

Boolean

camel.component.aws-bedrock-agent.profile-credentials-name

If using a profile credentials provider, this parameter will set the profile name.

false

String

camel.component.aws-bedrock-agent.proxy-host

To define a proxy host when instantiating the Bedrock Agent client.

String

camel.component.aws-bedrock-agent.proxy-port

To define a proxy port when instantiating the Bedrock Agent client.

Integer

camel.component.aws-bedrock-agent.proxy-protocol

To define a proxy protocol when instantiating the Bedrock Agent client.

https

Protocol

camel.component.aws-bedrock-agent.region

The region in which Bedrock Agent client needs to work. When using this parameter, the configuration will expect the lowercase name of the region (for example, ap-east-1) You’ll need to use the name Region.EU_WEST_1.id().

String

camel.component.aws-bedrock-agent.secret-key

Amazon AWS Secret Key.

String

camel.component.aws-bedrock-agent.session-token

Amazon AWS Session Token used when the user needs to assume an IAM role.

String

camel.component.aws-bedrock-agent.trust-all-certificates

If we want to trust all certificates in case of overriding the endpoint.

false

Boolean

camel.component.aws-bedrock-agent.uri-endpoint-override

Set the overriding uri endpoint. This option needs to be used in combination with overrideEndpoint option.

String

camel.component.aws-bedrock-agent.use-default-credentials-provider

Set whether the Bedrock Agent client should expect to load credentials through a default credentials provider or to expect static credentials to be passed in.

false

Boolean

camel.component.aws-bedrock-agent.use-profile-credentials-provider

Set whether the Bedrock Agent client should expect to load credentials through a profile credentials provider.

false

Boolean

camel.component.aws-bedrock-agent.use-session-credentials

Set whether the Bedrock Agent client should expect to use Session Credentials. This is useful in a situation in which the user needs to assume an IAM role for doing operations in Bedrock.

false

Boolean

camel.component.aws-bedrock.access-key

Amazon AWS Access Key.

String

camel.component.aws-bedrock.autowired-enabled

Whether autowiring is enabled. This is used for automatic autowiring options (the option must be marked as autowired) by looking up in the registry to find if there is a single instance of matching type, which then gets configured on the component. This can be used for automatic configuring JDBC data sources, JMS connection factories, AWS Clients, etc.

true

Boolean

camel.component.aws-bedrock.bedrock-runtime-async-client

To use an existing configured AWS Bedrock Runtime Async client for streaming operations. The option is a software.amazon.awssdk.services.bedrockruntime.BedrockRuntimeAsyncClient type.

BedrockRuntimeAsyncClient

camel.component.aws-bedrock.bedrock-runtime-client

To use an existing configured AWS Bedrock Runtime client. The option is a software.amazon.awssdk.services.bedrockruntime.BedrockRuntimeClient type.

BedrockRuntimeClient

camel.component.aws-bedrock.configuration

Component configuration. The option is a org.apache.camel.component.aws2.bedrock.runtime.BedrockConfiguration type.

BedrockConfiguration

camel.component.aws-bedrock.enabled

Whether to enable auto configuration of the aws-bedrock component. This is enabled by default.

Boolean

camel.component.aws-bedrock.health-check-consumer-enabled

Used for enabling or disabling all consumer based health checks from this component.

true

Boolean

camel.component.aws-bedrock.health-check-producer-enabled

Used for enabling or disabling all producer based health checks from this component. Notice: Camel has by default disabled all producer based health-checks. You can turn on producer checks globally by setting camel.health.producersEnabled=true.

true

Boolean

camel.component.aws-bedrock.include-streaming-metadata

Whether to include streaming metadata in the response headers (completion reason, token count, chunk count).

true

Boolean

camel.component.aws-bedrock.lazy-start-producer

Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel’s routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing.

false

Boolean

camel.component.aws-bedrock.model-id

Define the model Id we are going to use.

String

camel.component.aws-bedrock.operation

The operation to perform.

BedrockOperations

camel.component.aws-bedrock.override-endpoint

Set the need for overriding the endpoint. This option needs to be used in combination with the uriEndpointOverride option.

false

Boolean

camel.component.aws-bedrock.pojo-request

If we want to use a POJO request as body or not.

false

Boolean

camel.component.aws-bedrock.profile-credentials-name

If using a profile credentials provider, this parameter will set the profile name.

false

String

camel.component.aws-bedrock.proxy-host

To define a proxy host when instantiating the Bedrock client.

String

camel.component.aws-bedrock.proxy-port

To define a proxy port when instantiating the Bedrock client.

Integer

camel.component.aws-bedrock.proxy-protocol

To define a proxy protocol when instantiating the Bedrock client.

https

Protocol

camel.component.aws-bedrock.region

The region in which Bedrock client needs to work. When using this parameter, the configuration will expect the lowercase name of the region (for example, ap-east-1) You’ll need to use the name Region.EU_WEST_1.id().

String

camel.component.aws-bedrock.secret-key

Amazon AWS Secret Key.

String

camel.component.aws-bedrock.session-token

Amazon AWS Session Token used when the user needs to assume an IAM role.

String

camel.component.aws-bedrock.stream-output-mode

The streaming output mode (complete or chunks). In complete mode, the full response is accumulated and returned as a single message. In chunks mode, each chunk is emitted as a separate exchange.

complete

String

camel.component.aws-bedrock.trust-all-certificates

If we want to trust all certificates in case of overriding the endpoint.

false

Boolean

camel.component.aws-bedrock.uri-endpoint-override

Set the overriding uri endpoint. This option needs to be used in combination with overrideEndpoint option.

String

camel.component.aws-bedrock.use-default-credentials-provider

Set whether the Bedrock client should expect to load credentials through a default credentials provider or to expect static credentials to be passed in.

false

Boolean

camel.component.aws-bedrock.use-profile-credentials-provider

Set whether the Bedrock client should expect to load credentials through a profile credentials provider.

false

Boolean

camel.component.aws-bedrock.use-session-credentials

Set whether the Bedrock client should expect to use Session Credentials. This is useful in a situation in which the user needs to assume an IAM role for doing operations in Bedrock.

false

Boolean
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