import com.sun.jna.Library; import com.sun.jna.Native; public interface OllamaCLib extends Library OllamaCLib INSTANCE = Native.load("ollama", OllamaCLib.class);
Request request = new Request.Builder() .url(OLLAMA_URL) .post(RequestBody.create(json, MediaType.parse("application/json"))) .build();
<dependency> <groupId>com.squareup.okhttp3</groupId> <artifactId>okhttp</artifactId> <version>4.12.0</version> </dependency> <dependency> <groupId>com.fasterxml.jackson.core</groupId> <artifactId>jackson-databind</artifactId> <version>2.16.0</version> </dependency> For native ollamac binding (advanced), you’ll need the JNA library or a custom JNI wrapper. Let’s explore three common integration levels. Pattern A: Simple HTTP Client (90% of use cases) This is the most straightforward “OllamaC Java work” – despite the name, it doesn’t use the C bindings. ollamac java work
This is perfect for batch jobs, report generation, or data enrichment pipelines. When you need token-by-token output (like a ChatGPT clone), use non-blocking streaming.
import okhttp3.*; import com.fasterxml.jackson.databind.JsonNode; import com.fasterxml.jackson.databind.ObjectMapper; public class OllamaHttpClient private static final String OLLAMA_URL = "http://localhost:11434/api/generate"; private final OkHttpClient client = new OkHttpClient(); private final ObjectMapper mapper = new ObjectMapper(); import com
This pattern is essential for chat UIs or real-time data transformation. If you truly need OllamaC Java work in the literal sense, you can call the C library using Java Native Access (JNA). This skips HTTP overhead entirely.
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void ollama_init(); String ollama_generate(String model, String prompt); void ollama_free(String result);