Status: In active development toward
v1.0.0. APIs are not yet stable.
This library provides LaunchDarkly AI Config support for the LaunchDarkly Server-Side SDK for Java.
It is built on top of launchdarkly-java-server-sdk
and lets you retrieve, interpolate, and track AI Configs (models, providers, messages, agents, and judges)
managed in the LaunchDarkly dashboard.
This library has a minimum Java version of 8.
This module is part of the java-core monorepo and is
published to Maven Central as com.launchdarkly:launchdarkly-java-server-sdk-ai.
Construct an LDAIClient from an initialized server-side LDClient, then retrieve a typed config:
LDClient ldClient = new LDClient(sdkKey);
LDAIClient aiClient = new LDAIClientImpl(ldClient);
Map<String, Object> variables = new HashMap<>();
variables.put("username", "Sandy");
AICompletionConfig config = aiClient.completionConfig(
"my-ai-config-key",
context,
AICompletionConfigDefault.disabled(), // fallback when the flag is absent
variables);
if (config.isEnabled()) {
// config.getModel(), config.getProvider(), and config.getMessages() (already interpolated)
// are ready to pass to your model provider.
}The companion agentConfig/agentConfigs and judgeConfig methods retrieve agent and judge
configs respectively. Within a prompt message or agent instruction, the evaluation context is
available as {{ldctx}} (for example {{ldctx.key}}).
Metric tracking and manual judge evaluation will be added as the SDK is built out (see epic AIC-2629).
Public, supported types live directly under com.launchdarkly.sdk.server.ai (and its documented
subpackages). Anything under com.launchdarkly.sdk.server.ai.internal is implementation detail: it is
not part of the supported API, is excluded from the published Javadoc and sources jars, and may
change without notice.
We encourage pull requests and other contributions from the community. Check out our contributing guidelines for instructions on how to contribute.
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