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new 4c136afe1c9 Camel-AWS-Bedrock: Docs and example for Titan Image
Generator and Titax Text Lite (#13339)
4c136afe1c9 is described below
commit 4c136afe1c97d1d148bb5c409e44bcba4be5ee58
Author: Andrea Cosentino <[email protected]>
AuthorDate: Wed Feb 28 14:46:01 2024 +0100
Camel-AWS-Bedrock: Docs and example for Titan Image Generator and Titax
Text Lite (#13339)
Signed-off-by: Andrea Cosentino <[email protected]>
---
.../src/main/docs/aws-bedrock-component.adoc | 168 ++++++++++++++++++++-
1 file changed, 165 insertions(+), 3 deletions(-)
diff --git
a/components/camel-aws/camel-aws-bedrock/src/main/docs/aws-bedrock-component.adoc
b/components/camel-aws/camel-aws-bedrock/src/main/docs/aws-bedrock-component.adoc
index 7e7e2e50f54..a436bdb88ef 100644
---
a/components/camel-aws/camel-aws-bedrock/src/main/docs/aws-bedrock-component.adoc
+++
b/components/camel-aws/camel-aws-bedrock/src/main/docs/aws-bedrock-component.adoc
@@ -133,20 +133,140 @@ Json schema for request
}
--------------------------------------------------------------------------------
+- 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
+
+[source,json]
+--------------------------------------------------------------------------------
+{
+ "$schema": "http://json-schema.org/draft-04/schema#";,
+ "type": "object",
+ "properties": {
+ "inputText": {
+ "type": "string"
+ },
+ "textGenerationConfig": {
+ "type": "object",
+ "properties": {
+ "maxTokenCount": {
+ "type": "integer"
+ },
+ "stopSequences": {
+ "type": "array",
+ "items": [
+ {
+ "type": "string"
+ }
+ ]
+ },
+ "temperature": {
+ "type": "integer"
+ },
+ "topP": {
+ "type": "integer"
+ }
+ },
+ "required": [
+ "maxTokenCount",
+ "stopSequences",
+ "temperature",
+ "topP"
+ ]
+ }
+ },
+ "required": [
+ "inputText",
+ "textGenerationConfig"
+ ]
+}
+--------------------------------------------------------------------------------
+
+- Titan Image Generator G1 with id `amazon.titan-image-generator-v1`
+It generates images from text, and allows users to upload and edit an existing
image. Users can edit an image with a text prompt (without a mask) or parts of
an image with an image mask. You can extend the boundaries of an image with
outpainting, and fill in an image with inpainting.
+
+Json schema for request
+
+[source,json]
+--------------------------------------------------------------------------------
+{
+ "$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"
+ ]
+}
+--------------------------------------------------------------------------------
+
=== Bedrock Producer operations
Camel-AWS Bedrock component provides the following operation on the producer
side:
-- invokeModel
+- invokeTextModel
+- invokeImageModel
== Producer Examples
-- invokeModel: this operation will invoke a model from Bedrock
+- invokeTextModel: this operation will invoke a model from Bedrock. This is an
example for both Titan Express and Titan Lite.
[source,java]
--------------------------------------------------------------------------------
from("direct:invoke")
-
.to("aws-bedrock://test?bedrockRuntimeClient=#amazonBedrockRuntimeClient&operation=invokeModel&modelId="
+
.to("aws-bedrock://test?bedrockRuntimeClient=#amazonBedrockRuntimeClient&operation=invokeTextModel&modelId="
+ BedrockModels.TITAN_TEXT_EXPRESS_V1.model))
--------------------------------------------------------------------------------
@@ -176,6 +296,48 @@ and you can the send to the direct endpoint something like
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.
+
+[source,java]
+--------------------------------------------------------------------------------
+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 the send to the direct endpoint something like
+
+[source,java]
+--------------------------------------------------------------------------------
+ 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.
+
== Dependencies
Maven users will need to add the following dependency to their pom.xml.
