Channel Connector Framework
The channel connector framework uses Spring Boot to connect an external channel, such as Twitter or Slack, to the Salesforce Einstein Bot. The framework uses the Einstein Bots SDK and sets up the dependencies like caching, authentication, and metrics using a Spring auto-configuration.
For SDK and channel connector framework updates, see the API Release Notes.
The channel connector framework provides these features.
- Auto-configuration
The Spring beans are auto-configured using the
application.properties
.- Authentication mechanism
If all OAuth properties (
sfdc.einstein.bots.oauth.*
) are configured in the application properties, theAuthMechanism
object of the Einstein Bots SDK is configured to use the JWT Bearer OAuth flow.- Caching mechanism
If
sfdc.einstein.bots.cache.redis-url
is included in the application properties, the SDK uses Redis cache, otherwise, the in-memory cache is implemented.- Basic and session-managed bot clients
If you configure all required properties in
application.properties
, bothBasicChatbotClient
andSessionManagedChatbotClient
are available with default configurations.- Bot health indicator
The Spring’s health indicator
BotsHealthIndicator
is auto-configured to check the bot’s runtime health status.- Custom implementation support
You can provide your own implementation of Spring beans instead of using the default one.
- Metrics
The framework uses the Spring Micrometer library to collect the metrics. You can publish the metrics to all popular monitoring systems, such as New Relic, Prometheus, and Graphite, using Spring Micrometer.