java 千帆大模型 流式返回
聊天有两个接口,第一个是获取token, 第二个是聊天接口,具体参照官方文档
下面是流式调用聊天接口,单次的,不含上下文
@Value("${qianfan.apiKey}")private String apiKey;@Value("${qianfan.secretKey}")private String secretKey;@Value("${qianfan.tokenUrl}")private String tokenUrl;@Value("${qianfan.chatUrl}")private String chatUrl;private final OkHttpClient client = new OkHttpClient();private static final String ACCESS_TOKEN_PRE = "?access_token=";@SneakyThrowspublic Flux<String> getAnswer(Message message, String token) {RequestMessage requestBody = new RequestMessage();requestBody.addMessage(message);String jsonStr = JSON.toJSONString(requestBody);MediaType mediaType = MediaType.parse("application/json");RequestBody body = RequestBody.create(mediaType, jsonStr);Request request = new Request.Builder().url(chatUrl + ACCESS_TOKEN_PRE + token).addHeader("Content-Type", "application/json").method("POST", body).build();Response response = client.newCall(request).execute();ResponseBody responseBody = response.body();if (responseBody != null) {BufferedReader reader = new BufferedReader(responseBody.charStream());return Flux.<String>generate(sink -> { // 流式响应式接口try {String line = reader.readLine();line = line.replace("data: ", "");JSONObject json = JSON.parseObject(line);if (null != json && StringUtils.isNotBlank((String) json.get("result"))) {sink.next((String) json.get("result")); // 返回答案} else if (null != json && (Boolean) json.get("is_end")) {sink.complete(); // 结束响应} else {sink.next("\u200B"); // 返回空白字符}} catch (IOException e) {sink.error(e);}}).doFinally(signalType -> {try {reader.close();responseBody.close();} catch (IOException e) {// handle exception}});}return Flux.empty();}对应controller
@GetMapping(value = "/chat", produces = MediaType.APPLICATION_STREAM_JSON_VALUE)@CrossOrigin(origins = "*")public Flux<String> chat(@Valid Message vo){return xxxService.chat(vo);}
入参
@Data@AllArgsConstructor
@NoArgsConstructor
public class Message {/*** 用户角色* 目前支持：* user 用户* assistant 对话助手*/@ApiModelProperty(value = "用户角色", example = "user",hidden = true)private String role = "user";/*** 对话内容。*/@ApiModelProperty(value = "对话内容")@NotBlank(message = "对话内容不能为空")private String content;}@Data
public class RequestMessage {/*** 聊天上下文*/List<Message> messages = new ArrayList<>();/*** 范围(0~1.0]* 较高的数值会使输出更加随机*/float temperature = Float.parseFloat("0.95");/*** 影响文本的多样性，取值越大生成的文本多样性越强* 建议该参数与temperature只设置一个。建议top_p和temperature不要同时更改*/float top_p = Float.parseFloat("0.8");/*** 通过对已生成的token增加惩罚，减少重复生成的现象* 值越大，惩罚越大* 取值范围[1,2]*/float penalty_score = Float.parseFloat("1.0");/*** 是否以流式接口形式返回数据*/boolean stream = true;/*** 模型人设*/String system = null;/*** 表示用户唯一标识符，用于监测和检测滥用行为。防止接口恶意调用。*/String user_id = "";public void addMessage(Message message){this.messages.add(message);}
}
部署服务器后,不是流式响应的话,需要在NGINX的配置文件中加上:
proxy_buffering off;
http {include mime.types;default_type application/octet-stream;proxy_buffering off;client_max_body_size 5000M;#log_format main '$remote_addr - $remote_user [$time_local] "$request" '# '$status $body_bytes_sent "$http_referer" '# '"$http_user_agent" "$http_x_forwarded_for" "$server_protocol"';然后重启NGINX即可!