java

vxsdk — Java

JDK 11+ SDK for the vxcloud platform. Same wire contract as the Go / Python / TypeScript / C++ SDKs: API-key exchange, node discovery, and node ops (cicd, sessions, agentcontrol, health). Built on java.net.http.HttpClient with zero runtime dependencies — data methods return the raw JSON body as a String so you can parse with Jackson/Gson/etc.

Layout

java/
  src/main/java/io/vxcloud/sdk/
    VxClient.java      the client (builder-constructed)
    VxException.java   the single error type
    Json.java          tiny internal scalar-field extractor (package-private)
  examples/Example.java
  pom.xml

Build

Maven:

mvn -f java package        # jar in target/vxsdk-<version>.jar

Or straight javac (no Maven needed):

cd java
javac -d out src/main/java/io/vxcloud/sdk/*.java examples/Example.java
java  -cp out Example       # runs the smoke test (reads VX_* env vars)

Use

import io.vxcloud.sdk.VxClient;
import io.vxcloud.sdk.VxException;

VxClient c = VxClient.builder()
        .apiKey("xc_live_…")                  // or .accessToken("eyJ…")
        .username("alice")
        .nodeUrl("https://node1.vxcloud.io")  // optional; auto-resolved otherwise
        .tenantId("<uuid>")                   // required for agentcontrol.*
        .build();

String health    = c.health();                     // no auth
String providers = c.agentcontrolLlmProviders();    // authenticated
String raw       = c.get("/api/v2/cicd/pipelines"); // generic verb

// training (mirrors python vxsdk Training)
String jobs   = c.agentcontrolTraining();           // GET training/
String job    = c.agentcontrolTrainingGet(id);      // GET training/{id}
String made   = c.agentcontrolTrainingCreate(       // POST training/
        "my-run", "meta-llama/Llama-3.2-1B-Instruct", datasetId, "fine-tuning", 1);

// fine-tuning (mirrors python vxsdk FineTuning)
String fts    = c.agentcontrolFineTuning();          // GET fine-tuning/
String ftJob  = c.agentcontrolFineTuningGet(id);     // GET fine-tuning/{id}
String ftMade = c.agentcontrolFineTuningCreate(      // POST fine-tuning/
        "my-ft", "sshleifer/tiny-gpt2", "file.jsonl", 1, 4, 5e-5);

All agentcontrol methods return the raw JSON String; poll a training/fine-tuning job by reading its status field via agentcontrolTrainingGet(id) until it is terminal (completed/succeeded/failed).

Errors throw VxException — inspect .httpStatus(), .isAuth(), .isRetryable(), .detail(). The client sends Authorization: Bearer when it holds an access token, sends X-API-Key otherwise (dropping it on node-targeted requests that already carry a Bearer, matching the reference SDKs), attaches X-Tenant-ID on agentcontrol calls, and does one lazy token refresh on the first 401 for api-key clients.

Credentials for the smoke test

examples/Example.java reads VX_API_KEY / VX_ACCESS_TOKEN, VX_USERNAME, VX_NODE_URL, VX_TENANT_ID from the environment so nothing is embedded.

Preview. API may change before v1.0.