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package com.agentsflex.llm.qianfan;
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import com.agentsflex.core.document.Document;
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import com.agentsflex.core.llm.BaseLlm;
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import com.agentsflex.core.llm.ChatOptions;
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import com.agentsflex.core.llm.StreamResponseListener;
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import com.agentsflex.core.llm.client.BaseLlmClientListener;
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import com.agentsflex.core.llm.client.HttpClient;
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import com.agentsflex.core.llm.client.LlmClient;
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import com.agentsflex.core.llm.client.LlmClientListener;
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import com.agentsflex.core.llm.client.impl.SseClient;
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import com.agentsflex.core.llm.embedding.EmbeddingOptions;
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import com.agentsflex.core.llm.response.AiMessageResponse;
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import com.agentsflex.core.parser.AiMessageParser;
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import com.agentsflex.core.prompt.Prompt;
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import com.agentsflex.core.store.VectorData;
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import com.agentsflex.core.util.LogUtil;
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import com.agentsflex.core.util.StringUtil;
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import com.alibaba.fastjson.JSON;
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import com.alibaba.fastjson.JSONObject;
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import com.alibaba.fastjson.JSONPath;
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import java.util.HashMap;
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import java.util.Map;
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import java.util.function.Consumer;
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public class QianFanLlm extends BaseLlm<QianFanLlmConfig> {
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private final HttpClient httpClient = new HttpClient();
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private final AiMessageParser aiMessageParser = QianFanLlmUtil.getAiMessageParser(false);
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private final AiMessageParser streamMessageParser = QianFanLlmUtil.getAiMessageParser(true);
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private final Map<String,String> headers = new HashMap<>();
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public QianFanLlm(QianFanLlmConfig config) {
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super(config);
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headers.put("Content-Type", "application/json");
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headers.put("Authorization", "Bearer " + getConfig().getApiKey());
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Consumer<Map<String, String>> headersConfig = config.getHeadersConfig();
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if (headersConfig != null) {
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headersConfig.accept(headers);
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}
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}
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public static QianFanLlm of(String apiKey) {
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QianFanLlmConfig config = new QianFanLlmConfig();
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config.setApiKey(apiKey);
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return new QianFanLlm(config);
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}
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@Override
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public AiMessageResponse chat(Prompt prompt, ChatOptions options) {
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String payload = QianFanLlmUtil.promptToPayload(prompt, config, options, false);
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String endpoint = config.getEndpoint();
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String response = httpClient.post(endpoint + "/chat/completions", headers, payload);
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if (config.isDebug()) {
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LogUtil.println(">>>>receive payload:" + response);
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}
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if (StringUtil.noText(response)) {
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return AiMessageResponse.error(prompt, response, "no content for response.");
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}
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JSONObject jsonObject = JSON.parseObject(response);
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JSONObject error = jsonObject.getJSONObject("error");
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AiMessageResponse messageResponse = new AiMessageResponse(prompt, response, aiMessageParser.parse(jsonObject));
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if (error != null && !error.isEmpty()) {
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messageResponse.setError(true);
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messageResponse.setErrorMessage(error.getString("message"));
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messageResponse.setErrorType(error.getString("type"));
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messageResponse.setErrorCode(error.getString("code"));
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}
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return messageResponse;
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}
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@Override
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public void chatStream(Prompt prompt, StreamResponseListener listener, ChatOptions options) {
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LlmClient llmClient = new SseClient();
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String payload = QianFanLlmUtil.promptToPayload(prompt, config, options, true);
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LlmClientListener clientListener = new BaseLlmClientListener(this, llmClient, listener, prompt, streamMessageParser);
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llmClient.start(config.getEndpoint() + "/chat/completions", headers, payload, clientListener, config);
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}
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@Override
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public VectorData embed(Document document, EmbeddingOptions options) {
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String payload = QianFanLlmUtil.promptToEmbeddingsPayload(document, options, config);
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String response = httpClient.post(config.getEndpoint() + "/embeddings", headers, payload);
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if (config.isDebug()) {
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LogUtil.println(">>>>the input:" + payload);
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LogUtil.println(">>>>receive payload:" + response);
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}
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if (StringUtil.noText(response)) {
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return null;
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}
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VectorData vectorData = new VectorData();
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double[] embedding = JSONPath.read(response, "$.data[0].embedding", double[].class);
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vectorData.setVector(embedding);
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return vectorData;
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}
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}
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