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agents-flex-llm/agents-flex-llm-ollama/src/main/java/com/agentsflex/llm/ollama/OllamaLlm.java

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+/*
+ *  Copyright (c) 2023-2025, Agents-Flex (fuhai999@gmail.com).
+ *  <p>
+ *  Licensed under the Apache License, Version 2.0 (the "License");
+ *  you may not use this file except in compliance with the License.
+ *  You may obtain a copy of the License at
+ *  <p>
+ *  http://www.apache.org/licenses/LICENSE-2.0
+ *  <p>
+ *  Unless required by applicable law or agreed to in writing, software
+ *  distributed under the License is distributed on an "AS IS" BASIS,
+ *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ *  See the License for the specific language governing permissions and
+ *  limitations under the License.
+ */
+package com.agentsflex.llm.ollama;
+
+import com.agentsflex.core.document.Document;
+import com.agentsflex.core.llm.BaseLlm;
+import com.agentsflex.core.llm.ChatOptions;
+import com.agentsflex.core.llm.StreamResponseListener;
+import com.agentsflex.core.llm.client.BaseLlmClientListener;
+import com.agentsflex.core.llm.client.HttpClient;
+import com.agentsflex.core.llm.client.LlmClientListener;
+import com.agentsflex.core.llm.client.impl.DnjsonClient;
+import com.agentsflex.core.llm.embedding.EmbeddingOptions;
+import com.agentsflex.core.llm.response.AiMessageResponse;
+import com.agentsflex.core.message.AiMessage;
+import com.agentsflex.core.parser.AiMessageParser;
+import com.agentsflex.core.prompt.Prompt;
+import com.agentsflex.core.store.VectorData;
+import com.agentsflex.core.util.LogUtil;
+import com.agentsflex.core.util.Maps;
+import com.agentsflex.core.util.StringUtil;
+import com.alibaba.fastjson.JSON;
+import com.alibaba.fastjson.JSONObject;
+import com.alibaba.fastjson.JSONPath;
+
+import java.util.HashMap;
+import java.util.Map;
+
+public class OllamaLlm extends BaseLlm<OllamaLlmConfig> {
+
+    private HttpClient httpClient = new HttpClient();
+    public AiMessageParser aiMessageParser = OllamaLlmUtil.getAiMessageParser();
+
+
+    public OllamaLlm(OllamaLlmConfig config) {
+        super(config);
+    }
+
+
+    @Override
+    public VectorData embed(Document document, EmbeddingOptions options) {
+        Map<String, String> headers = new HashMap<>();
+        headers.put("Content-Type", "application/json");
+
+        if (StringUtil.hasText(getConfig().getApiKey())) {
+            headers.put("Authorization", "Bearer " + getConfig().getApiKey());
+        }
+
+        String payload = Maps.of("model", options.getModelOrDefault(config.getModel()))
+            .set("input", document.getContent())
+            .toJSON();
+
+        String endpoint = config.getEndpoint();
+        // https://github.com/ollama/ollama/blob/main/docs/api.md#generate-embeddings
+        String response = httpClient.post(endpoint + "/api/embed", headers, payload);
+
+        if (config.isDebug()) {
+            LogUtil.println(">>>>receive payload:" + response);
+        }
+
+        if (StringUtil.noText(response)) {
+            return null;
+        }
+        VectorData vectorData = new VectorData();
+
+        double[] embedding = JSONPath.read(response, "$.embeddings[0]", double[].class);
+        vectorData.setVector(embedding);
+
+        vectorData.addMetadata("total_duration", JSONPath.read(response, "$.total_duration", Long.class));
+        vectorData.addMetadata("load_duration", JSONPath.read(response, "$.load_duration", Long.class));
+        vectorData.addMetadata("prompt_eval_count", JSONPath.read(response, "$.prompt_eval_count", Integer.class));
+        vectorData.addMetadata("model", JSONPath.read(response, "$.model", String.class));
+
+        return vectorData;
+    }
+
+    @Override
+    public AiMessageResponse chat(Prompt prompt, ChatOptions options) {
+        Map<String, String> headers = new HashMap<>();
+        headers.put("Content-Type", "application/json");
+        headers.put("Authorization", "Bearer " + config.getApiKey());
+
+        String endpoint = config.getEndpoint();
+        String payload = OllamaLlmUtil.promptToPayload(prompt, config, options, false);
+        String response = httpClient.post(endpoint + "/api/chat", headers, payload);
+
+        if (config.isDebug()) {
+            LogUtil.println(">>>>receive payload:" + response);
+        }
+
+        if (StringUtil.noText(response)) {
+            return AiMessageResponse.error(prompt, response, "no content for response.");
+        }
+
+        JSONObject jsonObject = JSON.parseObject(response);
+        String error = jsonObject.getString("error");
+
+        AiMessage aiMessage = aiMessageParser.parse(jsonObject);
+        AiMessageResponse messageResponse = new AiMessageResponse(prompt, response, aiMessage);
+
+        if (error != null && !error.isEmpty()) {
+            messageResponse.setError(true);
+            messageResponse.setErrorMessage(error);
+        }
+
+        return messageResponse;
+    }
+
+
+    @Override
+    public void chatStream(Prompt prompt, StreamResponseListener listener, ChatOptions options) {
+        DnjsonClient dnjsonClient = new DnjsonClient();
+        Map<String, String> headers = new HashMap<>();
+        headers.put("Content-Type", "application/json");
+        headers.put("Authorization", "Bearer " + config.getApiKey());
+
+        String payload = OllamaLlmUtil.promptToPayload(prompt, config, options, true);
+
+        String endpoint = config.getEndpoint();
+        LlmClientListener clientListener = new BaseLlmClientListener(this, dnjsonClient, listener, prompt, aiMessageParser);
+        dnjsonClient.start(endpoint + "/api/chat", headers, payload, clientListener, config);
+    }
+
+    public HttpClient getHttpClient() {
+        return httpClient;
+    }
+
+    public void setHttpClient(HttpClient httpClient) {
+        this.httpClient = httpClient;
+    }
+}