camel-google-vertexai-sink-kafka-connector sink configuration
Connector Description: Send data to Google Vertex AI for generating content with generative AI models.
When using camel-google-vertexai-sink-kafka-connector as sink make sure to use the following Maven dependency to have support for the connector:
<dependency>
<groupId>org.apache.camel.kafkaconnector</groupId>
<artifactId>camel-google-vertexai-sink-kafka-connector</artifactId>
<version>x.x.x</version>
<!-- use the same version as your Camel Kafka connector version -->
</dependency> To use this sink connector in Kafka connect you’ll need to set the following connector.class
connector.class=org.apache.camel.kafkaconnector.googlevertexaisink.CamelGooglevertexaisinkSinkConnector The camel-google-vertexai-sink sink connector supports 9 options, which are listed below.
| Name | Description | Default | Priority |
|---|---|---|---|
Required The Google Cloud Project ID. | HIGH | ||
Required The Google Cloud region (e.g., us-central1). | HIGH | ||
Required The Model ID to use for predictions (e.g., gemini-2.5-pro). | HIGH | ||
The service account key to use as credentials for the Vertex AI client. You must encode this value in base64. | MEDIUM | ||
The operation to perform. | "generateText" | MEDIUM | |
Controls randomness in generation. Lower values make output more deterministic. Range 0.0 to 1.0. | MEDIUM | ||
Maximum number of tokens to generate in the response. | MEDIUM | ||
Nucleus sampling parameter. Considers tokens with top_p probability mass. Range 0.0 to 1.0. | MEDIUM | ||
Only sample from the top K options for each subsequent token. | MEDIUM |
The camel-google-vertexai-sink sink connector has no converters out of the box.
The camel-google-vertexai-sink sink connector has no transforms out of the box.
The camel-google-vertexai-sink sink connector has no aggregation strategies out of the box.