refactor(llmx-impl-openai): 重构 OpenAI 模型服务和响应处理

- 优化 OpenAiModelServiceImpl 中的 JSON 解析逻辑 - 修改 SseEvent 数据类，将 data 字段改为 response - 调整响应处理逻辑，以适应新的数据结构
build(llmx-impl-openai): 添加 llmx-impl-openai服务的 Docker 配置
2025-05-11 22:44:00 +08:00 · 2025-05-11 22:05:48 +08:00 · 2025-05-11 21:59:07 +08:00 · 2025-05-11 21:48:41 +08:00
31 changed files with 768 additions and 114 deletions
--- a/build.gradle.kts
+++ b/build.gradle.kts
@ -84,7 +84,6 @@ subprojects {
                implementation(libs.okHttp)
                // forgeBoot依赖
                implementation(libs.forgeBoot.core.extension)
-                implementation(libs.forgeBoot.core.extension)
            }
        }
        if(project.getPropertyByBoolean(ProjectFlags.USE_DAO_DEPENDENCE)){
@ -174,6 +173,18 @@ subprojects {
                        "'java -cp $( cat /app/jib-classpath-file ) $( cat /app/jib-main-class-file )'"
            )
        }
+        project {
+            projectName = "llmx-impl-openai"
+            ports = listOf("9004")
+            environment = mapOf("SPRING_PROFILES_ACTIVE" to env)
+            imageName = "llmx-impl-openai"
+            paths = listOf(File(rootProject.projectDir, "scripts").absolutePath)
+            entrypoint = listOf(
+                "/bin/sh", "-c",
+                "/entrypoint.sh -d llmx-nacos:8848,llmx-database:5432 -c " +
+                        "'java -cp $( cat /app/jib-classpath-file ) $( cat /app/jib-main-class-file )'"
+            )
+        }
    }
 }

--- a/docker/docker-compose.test.yml
+++ b/docker/docker-compose.test.yml
@ -42,6 +42,18 @@ services:
    volumes:
      - llmx-impl-bailian-volume:/app/volume
    restart: always
+  llmx-impl-openai:
+    image: ${DOCKER_REGISTRY_URL}/llmx-impl-openai
+    container_name: llmx-impl-openai
+    ports:
+      - "9004:9004"
+    networks:
+      - llmx-net-test
+    environment:
+      SPRING_PROFILES_ACTIVE: ${SPRING_PROFILES_ACTIVE}
+    volumes:
+      - llmx-impl-openai-volume:/app/volume
+    restart: always
  llmx-core-database:
    image: postgres:16-alpine  # 长期支持版本推荐用 16
    container_name: llmx-database
@ -62,6 +74,7 @@ networks:
    driver: bridge
 volumes:
  llmx-core-service-volume:
-  llmx-impl-bailian-volume:
  llmx-core-db-volume:
  llmx-nacos-volume:
+  llmx-impl-bailian-volume:
+  llmx-impl-openai-volume:
--- a/llmx-core/llmx-core-common/src/main/kotlin/org/jcnc/llmx/core/common/entities/request/ChatRequest.kt
+++ b/llmx-core/llmx-core-common/src/main/kotlin/org/jcnc/llmx/core/common/entities/request/ChatRequest.kt
@ -17,7 +17,7 @@ sealed class MultiModalContent {

    /**
     * Image数据类，表示图像内容的模态
-     * @param image 图像的base64
+     * @param image 图像的base64或者url
     */
    data class Image(val image: String) : MultiModalContent()
 }
@ -36,7 +36,7 @@ data class ChatRequest(
    val prompt: String? = "",
    val model: String,
    val messages: List<MultiModalMessage> = listOf(),
-    val options: Map<String, String> = mapOf()
+    val options: Map<String, String> = mapOf(),
 )

 /**
@ -46,7 +46,5 @@ data class ChatRequest(
 */
 data class MultiModalMessage(
    val role: String, // "system", "user", "assistant"
-    val content: List<MultiModalContent>
+    val content: List<MultiModalContent>,
 )
-
-
--- a/llmx-core/llmx-core-service/src/main/kotlin/org/jcnc/llmx/core/service/manager/ModelRouteManager.kt
+++ b/llmx-core/llmx-core-service/src/main/kotlin/org/jcnc/llmx/core/service/manager/ModelRouteManager.kt
@ -32,8 +32,8 @@ class ModelRouteManager(
        val modelServiceMap = modelRouteMappingRepository.findAllByEnabled(true)
            .associate { it.model to it.serviceName }
        log.info("modelServiceMap: $modelServiceMap")
-        for ((model, serviceName) in modelServiceMap) {
-            if (model.startsWith(model)) {
+        for ((modelId, serviceName) in modelServiceMap) {
+            if (modelId == model) {
                return serviceName
            }
        }
--- a/llmx-core/llmx-core-spi/build.gradle.kts
+++ b/llmx-core/llmx-core-spi/build.gradle.kts
@ -5,6 +5,12 @@ apply {
 }
 dependencies {
    compileOnly(libs.springBootStarter.web)
+    // kt协程依赖
+    compileOnly(libs.kotlinx.coruntes.reactor)
+    // okHttp依赖
+    compileOnly(libs.okHttp)
    api(libs.org.reactivestreams.reactiveStreams)
    api(project(Modules.Core.COMMON))
+    // forgeBoot依赖
+    implementation(libs.forgeBoot.core.extension)
 }
--- a/llmx-core/llmx-core-spi/src/main/kotlin/org/jcnc/llmx/core/spi/adapter/AbstractChatStreamAdapter.kt
+++ b/llmx-core/llmx-core-spi/src/main/kotlin/org/jcnc/llmx/core/spi/adapter/AbstractChatStreamAdapter.kt
@ -0,0 +1,100 @@
+package org.jcnc.llmx.core.spi.adapter
+
+import com.fasterxml.jackson.databind.ObjectMapper
+import com.gewuyou.forgeboot.core.extension.log
+import kotlinx.coroutines.CoroutineDispatcher
+import kotlinx.coroutines.flow.FlowCollector
+import kotlinx.coroutines.flow.flow
+import kotlinx.coroutines.reactive.asPublisher
+import okhttp3.Headers.Companion.toHeaders
+import okhttp3.MediaType.Companion.toMediaType
+import okhttp3.OkHttpClient
+import okhttp3.Request
+import okhttp3.RequestBody.Companion.toRequestBody
+import org.jcnc.llmx.core.common.entities.response.ChatResponsePart
+import org.reactivestreams.Publisher
+import org.springframework.http.MediaType
+import java.io.BufferedReader
+
+/**
+ * 抽象聊天流适配器
+ *
+ * @since 2025-05-11 20:43:16
+ * @author gewuyou
+ */
+abstract class AbstractChatStreamAdapter(
+    private val okHttpClient: OkHttpClient,
+    private val objectMapper: ObjectMapper,
+) : ChatStreamAdapter {
+    /**
+     * 发送流式聊天请求
+     *
+     * 该函数负责向指定URL发送聊天请求，并根据响应流提取内容
+     * 使用协程调度器来控制并发和异步处理逻辑
+     *
+     * @param url 请求的URL地址
+     * @param headers 请求头，包含认证等信息
+     * @param requestBody 请求体，可以是任意类型，根据API需求而定
+     * @param extractContent 函数用于从响应流中提取聊天响应的部分内容
+     * @param dispatcher 协程调度器，用于执行异步或并发操作
+     * @return 返回一个发布者，用于订阅聊天响应流
+     */
+    override fun sendStreamChat(
+        url: String,
+        headers: Map<String, String>,
+        requestBody: Any,
+        extractContent: (String) -> ChatResponsePart,
+        dispatcher: CoroutineDispatcher,
+    ): Publisher<ChatResponsePart> = flow {
+        val requestJson = objectMapper.writeValueAsString(requestBody)
+        log.info("📤 请求参数: $requestJson")
+
+        val request = buildRequest(url, headers, requestJson)
+
+        okHttpClient.newCall(request).execute().use { response ->
+            if (!response.isSuccessful) {
+                log.error("🚨 请求失败: ${response.code} ${response.message}")
+                throw RuntimeException("❌ 请求失败: HTTP ${response.code}")
+            }
+            val responseBody = response.body ?: throw RuntimeException("❌ 响应体为空")
+            responseBody.charStream().buffered().use { reader ->
+                val allContent = StringBuilder()
+                processResponse(reader, extractContent, allContent, dispatcher)
+                log.info("📦 完整内容: $allContent")
+            }
+        }
+    }.asPublisher()
+
+    /**
+     * 构建HTTP请求
+     *
+     * @param url 请求的URL地址
+     * @param headers 请求头，包含认证等信息
+     * @param json 请求体的JSON字符串
+     * @return 返回构建好的HTTP请求对象
+     */
+    open fun buildRequest(url: String, headers: Map<String, String>, json: String): Request {
+        return Request.Builder()
+            .url(url)
+            .headers(headers.toHeaders())
+            .post(json.toRequestBody(MediaType.APPLICATION_JSON_VALUE.toMediaType()))
+            .build()
+    }
+
+    /**
+     * 处理响应流的抽象方法
+     *
+     * 此方法需由子类实现，用以解析响应流并发射聊天响应部分
+     *
+     * @param reader 响应流的BufferedReader对象
+     * @param extractContent 函数用于从响应流中提取聊天响应的部分内容
+     * @param allContent 用于存储响应流的完整内容
+     * @param dispatcher 协程调度器，用于执行异步或并发操作
+     */
+    abstract suspend fun FlowCollector<ChatResponsePart>.processResponse(
+        reader: BufferedReader,
+        extractContent: (String) -> ChatResponsePart,
+        allContent: StringBuilder,
+        dispatcher: CoroutineDispatcher
+    )
+}
--- a/llmx-core/llmx-core-spi/src/main/kotlin/org/jcnc/llmx/core/spi/adapter/ChatStreamAdapter.kt
+++ b/llmx-core/llmx-core-spi/src/main/kotlin/org/jcnc/llmx/core/spi/adapter/ChatStreamAdapter.kt
@ -0,0 +1,38 @@
+package org.jcnc.llmx.core.spi.adapter
+
+import kotlinx.coroutines.CoroutineDispatcher
+import kotlinx.coroutines.Dispatchers
+import org.jcnc.llmx.core.common.entities.response.ChatResponsePart
+import org.reactivestreams.Publisher
+
+/**
+ * 聊天流适配器
+ *
+ * 该接口定义了一个函数，用于发送流式聊天请求，并处理响应流
+ * 主要用途是与聊天API进行交互，以流的方式处理聊天消息，从而实现高效的实时通信
+ *
+ * @since 2025-05-11 20:19:29
+ * @author gewuyou
+ */
+interface ChatStreamAdapter {
+    /**
+     * 发送流式聊天请求
+     *
+     * 该函数负责向指定URL发送聊天请求，并根据响应流提取内容
+     * 使用协程调度器来控制并发和异步处理逻辑
+     *
+     * @param url 请求的URL地址
+     * @param headers 请求头，包含认证等信息
+     * @param requestBody 请求体，可以是任意类型，根据API需求而定
+     * @param extractContent 函数用于从响应流中提取聊天响应的部分内容
+     * @param dispatcher 协程调度器，用于执行异步或并发操作
+     * @return 返回一个发布者，用于订阅聊天响应流
+     */
+    fun sendStreamChat(
+        url: String,
+        headers: Map<String, String>,
+        requestBody: Any,
+        extractContent: (String) -> ChatResponsePart,
+        dispatcher: CoroutineDispatcher=Dispatchers.IO
+    ): Publisher<ChatResponsePart>
+}
--- a/llmx-core/llmx-core-spi/src/main/kotlin/org/jcnc/llmx/core/spi/provider/LLMProvider.kt
+++ b/llmx-core/llmx-core-spi/src/main/kotlin/org/jcnc/llmx/core/spi/provider/LLMProvider.kt
@ -8,6 +8,7 @@ import org.jcnc.llmx.core.common.entities.response.EmbeddingResponse
 import org.reactivestreams.Publisher
 import org.springframework.http.MediaType
 import org.springframework.web.bind.annotation.PostMapping
+import org.springframework.web.bind.annotation.RequestBody
 import org.springframework.web.bind.annotation.RequestMapping

 /**
@ -31,7 +32,7 @@ interface LLMProvider {
     * @return 返回一个Flow流，通过该流可以接收到聊天响应的部分数据，如消息、状态更新等
     */
    @PostMapping("/chat", produces = [MediaType.APPLICATION_NDJSON_VALUE])
-    fun chat(request: ChatRequest): Publisher<ChatResponsePart>
+    fun chat(@RequestBody request: ChatRequest): Publisher<ChatResponsePart>
    /**
     * 处理多模态聊天请求的函数
     * 该函数通过 POST 方法接收一个聊天请求，并以 NDJSON 的形式返回聊天响应的部分
@ -43,7 +44,7 @@ interface LLMProvider {
     * 它使用了响应式编程模型，适合处理高并发和大数据量的响应
     */
    @PostMapping("/multimodalityChat", produces = [MediaType.APPLICATION_NDJSON_VALUE])
-    fun multimodalityChat(request: ChatRequest): Publisher<ChatResponsePart>
+    fun multimodalityChat(@RequestBody request: ChatRequest): Publisher<ChatResponsePart>
    /**
     * 嵌入功能方法
     * 该方法允许用户发送嵌入请求，以获取LLM生成的嵌入向量
--- a/llmx-impl/llmx-impl-bailian/src/main/kotlin/org/jcnc/llmx/impl/baiLian/adapter/DashScopeAdapter.kt
+++ b/llmx-impl/llmx-impl-bailian/src/main/kotlin/org/jcnc/llmx/impl/baiLian/adapter/DashScopeAdapter.kt
@ -2,18 +2,14 @@ package org.jcnc.llmx.impl.baiLian.adapter

 import com.fasterxml.jackson.databind.ObjectMapper
 import com.gewuyou.forgeboot.core.extension.log
-import kotlinx.coroutines.*
-import kotlinx.coroutines.flow.Flow
+import kotlinx.coroutines.CoroutineDispatcher
+import kotlinx.coroutines.currentCoroutineContext
 import kotlinx.coroutines.flow.FlowCollector
-import kotlinx.coroutines.flow.flow
-import okhttp3.Headers.Companion.toHeaders
-import okhttp3.MediaType.Companion.toMediaType
+import kotlinx.coroutines.isActive
+import kotlinx.coroutines.withContext
 import okhttp3.OkHttpClient
-import okhttp3.Request
-import okhttp3.RequestBody.Companion.toRequestBody
 import org.jcnc.llmx.core.common.entities.response.ChatResponsePart
-
-
+import org.jcnc.llmx.core.spi.adapter.AbstractChatStreamAdapter
 import org.springframework.stereotype.Component
 import java.io.BufferedReader

@ -30,71 +26,26 @@ import java.io.BufferedReader
 */
@Component
 class DashScopeAdapter(
-    private val okHttpClient: OkHttpClient,
-    private val objectMapper: ObjectMapper,
-) {
+    okHttpClient: OkHttpClient,
+    objectMapper: ObjectMapper,
+) : AbstractChatStreamAdapter(okHttpClient, objectMapper) {
    /**
-     * 发送流式聊天请求
+     * 处理响应流的抽象方法
     *
-     * 本函数构建并发送一个聊天请求，然后以流的形式接收和处理响应。
-     * 它主要用于与DashScope API进行交互，提取并发布聊天响应的部分内容。
+     * 该方法用于处理从API接收到的响应流。它读取响应流的每一行，
+     * 如果行以"data:"开头，则提取该行的内容，解析为ChatResponsePart对象，
+     * 并将解析后的对象发射到流中。
     *
-     * @param url 请求的URL
-     * @param headers 请求的头部信息
-     * @param requestBody 请求的主体内容
-     * @param extractContent 一个函数，用于从JSON响应中提取内容
-     * @param dispatcher 协程调度器，默认为IO调度器
-     * @return 返回一个Flow，发布聊天响应的部分内容
+     * @param reader 响应流的BufferedReader对象
+     * @param extractContent 函数用于从响应流中提取聊天响应的部分内容
+     * @param allContent 用于存储响应流的完整内容
+     * @param dispatcher 协程调度器，用于执行异步或并发操作
     */
-    fun sendStreamChat(
-        url: String,
-        headers: Map<String, String>,
-        requestBody: Any,
-        extractContent: (String) -> ChatResponsePart,
-        dispatcher: CoroutineDispatcher = Dispatchers.IO,
-    ): Flow<ChatResponsePart> = flow {
-        val requestJson = objectMapper.writeValueAsString(requestBody)
-        log.info("📤 请求参数: {}", requestJson)
-
-        val request = buildRequest(url, headers, requestJson)
-
-        okHttpClient.newCall(request).execute().use { response ->
-            if (!response.isSuccessful) {
-                log.error("🚨 DashScope 请求失败: code ${response.code} message: ${response.message} body: ${response.body}")
-                throw RuntimeException("❌ DashScope 请求失败: HTTP ${response.code}")
-            }
-
-            val responseBody = response.body ?: throw RuntimeException("❌ DashScope 响应体为空")
-
-            responseBody.charStream().buffered().use { reader ->
-                val allContent = StringBuilder()
-                try {
-                    processResponse(dispatcher, reader, extractContent, allContent)
-                    log.info("📦 完整内容: {}", allContent)
-                } catch (e: Exception) {
-                    log.error("🚨 读取 DashScope 响应流失败: {}", e.message, e)
-                    throw e
-                }
-            }
-        }
-    }
-
-    /**
-     * 处理响应流
-     *
-     * 本函数读取HTTP响应中的数据行，解析并提取内容。
-     * 它在循环中读取每一行，并使用提供的函数提取内容。
-     *
-     * @param dispatcher 协程调度器
-     * @param reader 响应体的BufferedReader
-     * @param extractContent 一个函数，用于从JSON响应中提取内容
-     * @param allContent 保存所有提取内容的StringBuilder
-     */
-    private suspend fun FlowCollector<ChatResponsePart>.processResponse(
-        dispatcher: CoroutineDispatcher,
+    override suspend fun FlowCollector<ChatResponsePart>.processResponse(
        reader: BufferedReader,
        extractContent: (String) -> ChatResponsePart,
        allContent: StringBuilder,
+        dispatcher: CoroutineDispatcher,
    ) {
        while (currentCoroutineContext().isActive) {
            val line = withContext(dispatcher) {
@ -116,22 +67,4 @@ class DashScopeAdapter(
            }
        }
    }
-
-    /**
-     * 构建请求
-     *
-     * 本函数构建一个OkHttp请求对象，用于发送聊天请求。
-     *
-     * @param url 请求的URL
-     * @param headers 请求的头部信息
-     * @param json 请求的主体内容的JSON字符串
-     * @return 返回构建好的Request对象
-     */
-    private fun buildRequest(url: String, headers: Map<String, String>, json: String): Request {
-        return Request.Builder()
-            .url(url)
-            .headers(headers.toHeaders())
-            .post(json.toRequestBody("application/json".toMediaType()))
-            .build()
-    }
 }
--- a/llmx-impl/llmx-impl-bailian/src/main/kotlin/org/jcnc/llmx/impl/baiLian/controller/BaiLianProvider.kt
+++ b/llmx-impl/llmx-impl-bailian/src/main/kotlin/org/jcnc/llmx/impl/baiLian/controller/BaiLianProvider.kt
@ -34,12 +34,12 @@ class BaiLianProvider(
     * @param request 聊天请求对象，包含建立聊天所需的信息，如用户标识、会话标识等
     * @return 返回一个Flow流，通过该流可以接收到聊天响应的部分数据，如消息、状态更新等
     */
-    override fun chat(@RequestBody request: ChatRequest): Publisher<ChatResponsePart> {
-        return baiLianModelService.streamChat(request).asPublisher()
+    override fun chat(request: ChatRequest): Publisher<ChatResponsePart> {
+        return baiLianModelService.streamChat(request)
    }

-    override fun multimodalityChat(@RequestBody request: ChatRequest): Publisher<ChatResponsePart> {
-        return baiLianModelService.streamMultimodalityChat(request).asPublisher()
+    override fun multimodalityChat(request: ChatRequest): Publisher<ChatResponsePart> {
+        return baiLianModelService.streamMultimodalityChat(request)
    }

    /**
--- a/llmx-impl/llmx-impl-bailian/src/main/kotlin/org/jcnc/llmx/impl/baiLian/entities/response/DashScopeMultimodalityChatResponse.kt
+++ b/llmx-impl/llmx-impl-bailian/src/main/kotlin/org/jcnc/llmx/impl/baiLian/entities/response/DashScopeMultimodalityChatResponse.kt
@ -14,7 +14,7 @@ import com.fasterxml.jackson.annotation.JsonProperty
 * @param requestId 请求ID，用于跟踪和调试请求
 */
@JsonIgnoreProperties(ignoreUnknown = true)
-data class DashScopeResponse(
+data class DashScopeMultimodalityChatResponse(
    val output: Output?,
    val usage: Usage?,
    @JsonProperty("request_id")
--- a/llmx-impl/llmx-impl-bailian/src/main/kotlin/org/jcnc/llmx/impl/baiLian/service/BaiLianModelService.kt
+++ b/llmx-impl/llmx-impl-bailian/src/main/kotlin/org/jcnc/llmx/impl/baiLian/service/BaiLianModelService.kt
@ -1,9 +1,8 @@
 package org.jcnc.llmx.impl.baiLian.service

-import kotlinx.coroutines.flow.Flow
 import org.jcnc.llmx.core.common.entities.request.ChatRequest
 import org.jcnc.llmx.core.common.entities.response.ChatResponsePart
-
+import org.reactivestreams.Publisher

 /**
 * 百炼模型服务接口
@ -17,14 +16,15 @@ interface BaiLianModelService {
     * 使用流式聊天交互
     *
     * @param request 聊天请求对象，包含用户输入、上下文等信息
-     * @return 返回一个Flow流，包含部分聊天响应，允许逐步处理和消费响应
+     * @return 返回一个发布者对象，用于订阅聊天响应的部分数据
     */
-    fun streamChat(request: ChatRequest): Flow<ChatResponsePart>
+    fun streamChat(request: ChatRequest): Publisher<ChatResponsePart>
+
    /**
     * 使用流式多模态聊天交互
     *
     * @param request 聊天请求对象，包含用户输入、上下文等信息
-     * @return 返回一个Flow流，包含部分聊天响应，允许逐步处理和消费响应
+     * @return 返回一个发布者对象，用于订阅聊天响应的部分数据
     */
-    fun streamMultimodalityChat(request: ChatRequest) : Flow<ChatResponsePart>
+    fun streamMultimodalityChat(request: ChatRequest): Publisher<ChatResponsePart>
 }
--- a/llmx-impl/llmx-impl-bailian/src/main/kotlin/org/jcnc/llmx/impl/baiLian/service/impl/BaiLianModelServiceImpl.kt
+++ b/llmx-impl/llmx-impl-bailian/src/main/kotlin/org/jcnc/llmx/impl/baiLian/service/impl/BaiLianModelServiceImpl.kt
@ -10,8 +10,9 @@ import org.jcnc.llmx.core.common.entities.response.Usage

 import org.jcnc.llmx.impl.baiLian.adapter.DashScopeAdapter
 import org.jcnc.llmx.impl.baiLian.config.entities.DashScopeProperties
-import org.jcnc.llmx.impl.baiLian.entities.response.DashScopeResponse
+import org.jcnc.llmx.impl.baiLian.entities.response.DashScopeMultimodalityChatResponse
 import org.jcnc.llmx.impl.baiLian.service.BaiLianModelService
+import org.reactivestreams.Publisher

 import org.springframework.stereotype.Service
 import org.springframework.util.CollectionUtils
@ -35,7 +36,7 @@ class BaiLianModelServiceImpl(
     * @param request 聊天请求对象，包含用户输入、上下文等信息
     * @return 返回一个Flow流，包含部分聊天响应，允许逐步处理和消费响应
     */
-    override fun streamChat(request: ChatRequest): Flow<ChatResponsePart> {
+    override fun streamChat(request: ChatRequest): Publisher<ChatResponsePart> {
        // 构造请求URL
        val url = "${dashScopeProperties.baseUrl}${dashScopeProperties.appId}/completion"
        log.info("请求URL: $url")
@ -132,7 +133,7 @@ class BaiLianModelServiceImpl(
     * @param request 聊天请求对象，包含用户输入、上下文等信息
     * @return 返回一个Flow流，包含部分聊天响应，允许逐步处理和消费响应
     */
-    override fun streamMultimodalityChat(request: ChatRequest): Flow<ChatResponsePart> {
+    override fun streamMultimodalityChat(request: ChatRequest): Publisher<ChatResponsePart> {
        // 构造请求URL
        val url = dashScopeProperties.multimodalityUrl
        log.info("请求URL: $url")
@ -159,7 +160,7 @@ class BaiLianModelServiceImpl(
        return dashScopeAdapter.sendStreamChat(
            url, headers, body,
            { json: String ->
-                val response = objectMapper.readValue(json, DashScopeResponse::class.java)
+                val response = objectMapper.readValue(json, DashScopeMultimodalityChatResponse::class.java)
                val choices = response
                    .output
                    ?.choices
--- a/llmx-impl/llmx-impl-openai/src/main/kotlin/org/jcnc/llmx/impl/openai/adapter/OpenAiAdapter.kt
+++ b/llmx-impl/llmx-impl-openai/src/main/kotlin/org/jcnc/llmx/impl/openai/adapter/OpenAiAdapter.kt
@ -0,0 +1,60 @@
+package org.jcnc.llmx.impl.openai.adapter
+
+import com.fasterxml.jackson.databind.ObjectMapper
+import com.gewuyou.forgeboot.core.extension.log
+import kotlinx.coroutines.CoroutineDispatcher
+import kotlinx.coroutines.currentCoroutineContext
+import kotlinx.coroutines.flow.FlowCollector
+import kotlinx.coroutines.isActive
+import kotlinx.coroutines.withContext
+import okhttp3.OkHttpClient
+import org.jcnc.llmx.core.common.entities.response.ChatResponsePart
+import org.jcnc.llmx.core.spi.adapter.AbstractChatStreamAdapter
+import org.springframework.stereotype.Component
+import java.io.BufferedReader
+
+/**
+ *Open AI 适配器
+ *
+ * @since 2025-05-11 18:01:15
+ * @author gewuyou
+ */
+@Component
+class OpenAiAdapter(
+    okHttpClient: OkHttpClient,
+    objectMapper: ObjectMapper,
+) : AbstractChatStreamAdapter(okHttpClient, objectMapper) {
+
+    override suspend fun FlowCollector<ChatResponsePart>.processResponse(
+        reader: BufferedReader,
+        extractContent: (String) -> ChatResponsePart,
+        allContent: StringBuilder,
+        dispatcher: CoroutineDispatcher,
+    ) {
+        while (currentCoroutineContext().isActive) {
+            val line = withContext(dispatcher) {
+                reader.readLine()
+            } ?: break
+
+            if (line.startsWith("event:")) {
+                // 可选：可读取事件类型
+                continue
+            }
+
+            if (line.startsWith("data:")) {
+                val jsonPart = line.removePrefix("data:").trim()
+                try {
+                    val part = extractContent(jsonPart)
+                    allContent.append(part.content)
+                    log.debug("✅ 提取内容: {}", part)
+                    if (part.content.isNotBlank()) {
+                        emit(part)
+                    }
+                } catch (e: Exception) {
+                    log.warn("⚠️ 无法解析 JSON: {}", jsonPart, e)
+                }
+            }
+        }
+    }
+
+}
--- a/llmx-impl/llmx-impl-openai/src/main/kotlin/org/jcnc/llmx/impl/openai/config/ClientConfig.kt
+++ b/llmx-impl/llmx-impl-openai/src/main/kotlin/org/jcnc/llmx/impl/openai/config/ClientConfig.kt
@ -0,0 +1,60 @@
+package org.jcnc.llmx.impl.openai.config
+
+import com.gewuyou.forgeboot.core.extension.log
+import okhttp3.OkHttpClient
+import org.springframework.context.annotation.Bean
+import org.springframework.context.annotation.Configuration
+import org.springframework.core.env.Environment
+import java.security.SecureRandom
+import java.security.cert.X509Certificate
+import java.util.concurrent.TimeUnit
+import javax.net.ssl.SSLContext
+import javax.net.ssl.TrustManager
+import javax.net.ssl.X509TrustManager
+
+
+/**
+ *客户端配置
+ *
+ * @since 2025-03-28 17:03:48
+ * @author gewuyou
+ */
+@Configuration
+class ClientConfig {
+    /**
+     * OkHttpClient
+     */
+    @Bean
+    fun createOkHttpClient(environment: Environment): OkHttpClient {
+        val activeProfiles = environment.activeProfiles.getOrNull(0)
+        return when (activeProfiles) {
+            "dev", "test" -> {
+                val trustAllCerts = arrayOf<TrustManager>(
+                    object : X509TrustManager {
+                        override fun checkClientTrusted(chain: Array<out X509Certificate>?, authType: String?) {}
+                        override fun checkServerTrusted(chain: Array<out X509Certificate>?, authType: String?) {}
+                        override fun getAcceptedIssuers(): Array<X509Certificate> = arrayOf()
+                    }
+                )
+                val sslContext = SSLContext.getInstance("TLS")
+                sslContext.init(null, trustAllCerts, SecureRandom())
+                val sslSocketFactory = sslContext.socketFactory
+                log.warn("警告: 开启了不安全的https请求，请不要在正式环境使用!")
+                OkHttpClient.Builder()
+                    .sslSocketFactory(sslSocketFactory, trustAllCerts[0] as X509TrustManager)
+                    .hostnameVerifier { _, _ -> true }
+                    .connectTimeout(30, TimeUnit.SECONDS)
+                    .readTimeout(30, TimeUnit.SECONDS)
+                    .writeTimeout(30, TimeUnit.SECONDS)
+                    .build()
+            }
+            else -> {
+                OkHttpClient.Builder()
+                    .connectTimeout(30, TimeUnit.SECONDS)
+                    .readTimeout(30, TimeUnit.SECONDS)
+                    .writeTimeout(30, TimeUnit.SECONDS)
+                    .build()
+            }
+        }
+    }
+}
--- a/llmx-impl/llmx-impl-openai/src/main/kotlin/org/jcnc/llmx/impl/openai/config/OpenAiConfig.kt
+++ b/llmx-impl/llmx-impl-openai/src/main/kotlin/org/jcnc/llmx/impl/openai/config/OpenAiConfig.kt
@ -0,0 +1,15 @@
+package org.jcnc.llmx.impl.openai.config
+
+import org.jcnc.llmx.impl.openai.config.entities.OpenAiProperties
+import org.springframework.boot.context.properties.EnableConfigurationProperties
+import org.springframework.context.annotation.Configuration
+
+/**
+ *Open AI 配置
+ *
+ * @since 2025-05-11 16:57:14
+ * @author gewuyou
+ */
+@Configuration
+@EnableConfigurationProperties(OpenAiProperties::class)
+class OpenAiConfig
--- a/llmx-impl/llmx-impl-openai/src/main/kotlin/org/jcnc/llmx/impl/openai/config/entities/OpenAiProperties.kt
+++ b/llmx-impl/llmx-impl-openai/src/main/kotlin/org/jcnc/llmx/impl/openai/config/entities/OpenAiProperties.kt
@ -0,0 +1,15 @@
+package org.jcnc.llmx.impl.openai.config.entities
+
+import org.springframework.boot.context.properties.ConfigurationProperties
+
+/**
+ *Open AI 属性
+ *
+ * @since 2025-05-11 16:56:15
+ * @author gewuyou
+ */
+@ConfigurationProperties(prefix = "openai")
+class OpenAiProperties {
+    var apiKey: String = ""
+    var baseUrl: String = ""
+}
--- a/llmx-impl/llmx-impl-openai/src/main/kotlin/org/jcnc/llmx/impl/openai/config/service/OpenAiModelService.kt
+++ b/llmx-impl/llmx-impl-openai/src/main/kotlin/org/jcnc/llmx/impl/openai/config/service/OpenAiModelService.kt
@ -0,0 +1,29 @@
+package org.jcnc.llmx.impl.openai.config.service
+
+import org.jcnc.llmx.core.common.entities.request.ChatRequest
+import org.jcnc.llmx.core.common.entities.response.ChatResponsePart
+import org.reactivestreams.Publisher
+
+/**
+ *Open AI 模型服务
+ *
+ * @since 2025-05-11 17:25:15
+ * @author gewuyou
+ */
+interface OpenAiModelService{
+    /**
+     * 使用流式聊天交互
+     *
+     * @param request 聊天请求对象，包含用户输入、上下文等信息
+     * @return 返回一个发布者对象，用于订阅聊天响应的部分数据
+     */
+    fun streamChat(request: ChatRequest): Publisher<ChatResponsePart>
+
+    /**
+     * 使用流式多模态聊天交互
+     *
+     * @param request 聊天请求对象，包含用户输入、上下文等信息
+     * @return 返回一个发布者对象，用于订阅聊天响应的部分数据
+     */
+    fun streamMultimodalityChat(request: ChatRequest): Publisher<ChatResponsePart>
+}
--- a/llmx-impl/llmx-impl-openai/src/main/kotlin/org/jcnc/llmx/impl/openai/config/service/impl/OpenAiModelServiceImpl.kt
+++ b/llmx-impl/llmx-impl-openai/src/main/kotlin/org/jcnc/llmx/impl/openai/config/service/impl/OpenAiModelServiceImpl.kt
@ -0,0 +1,90 @@
+package org.jcnc.llmx.impl.openai.config.service.impl
+
+import com.fasterxml.jackson.databind.ObjectMapper
+import com.gewuyou.forgeboot.core.extension.log
+import org.jcnc.llmx.core.common.entities.request.ChatRequest
+import org.jcnc.llmx.core.common.entities.response.ChatResponsePart
+import org.jcnc.llmx.core.common.entities.response.Usage
+import org.jcnc.llmx.impl.openai.adapter.OpenAiAdapter
+import org.jcnc.llmx.impl.openai.config.entities.OpenAiProperties
+import org.jcnc.llmx.impl.openai.config.service.OpenAiModelService
+import org.jcnc.llmx.impl.openai.entities.response.FullResponse
+import org.jcnc.llmx.impl.openai.entities.response.OutputTextDelta
+import org.jcnc.llmx.impl.openai.entities.response.OutputTextDone
+import org.jcnc.llmx.impl.openai.extension.toOpenAIMultimodalityChatRequest
+import org.reactivestreams.Publisher
+import org.springframework.stereotype.Service
+
+/**
+ *Open AI 模型服务实现
+ *
+ * @since 2025-05-11 17:26:23
+ * @author gewuyou
+ */
+@Service
+class OpenAiModelServiceImpl(
+    private val openAiProperties: OpenAiProperties,
+    private val openAiAdapter: OpenAiAdapter,
+    private val objectMapper: ObjectMapper,
+) : OpenAiModelService {
+    /**
+     * 使用流式聊天交互
+     *
+     * @param request 聊天请求对象，包含用户输入、上下文等信息
+     * @return 返回一个发布者对象，用于订阅聊天响应的部分数据
+     */
+    override fun streamChat(request: ChatRequest): Publisher<ChatResponsePart> {
+        TODO("Not yet implemented")
+    }
+
+    override fun streamMultimodalityChat(request: ChatRequest): Publisher<ChatResponsePart> {
+        val url = "${openAiProperties.baseUrl}/v1/responses"
+        val headers = mapOf(
+            "Authorization" to "Bearer ${openAiProperties.apiKey}",
+            "Content-Type" to "application/json"
+        )
+        val openAIRequest = request.toOpenAIMultimodalityChatRequest()
+        val body = mutableMapOf<String, Any>(
+            "stream" to true
+        ).also {
+            it.putAll(openAIRequest)
+        }
+        return openAiAdapter.sendStreamChat(
+            url, headers, body,
+            extractContent = { json ->
+                val node = objectMapper.readTree(json)
+                val type = node["type"]?.asText()
+                val response = node["response"]
+                val data = response ?: node
+                when (type) {
+                    "response.output_text.delta" -> {
+                        val outputTextDelta = objectMapper.treeToValue(data, OutputTextDelta::class.java)
+                        ChatResponsePart(content = outputTextDelta.delta)
+                    }
+
+                    "response.output_text.done" -> {
+                        val outputTextDone = objectMapper.treeToValue(data, OutputTextDone::class.java)
+                        ChatResponsePart(content = outputTextDone.text, done = true)
+                    }
+                    "response.completed" -> {
+                        val completed = objectMapper.treeToValue(data, FullResponse::class.java)
+                        val usage = completed.usage?.let {
+                            Usage(
+                                promptTokens = it.inputTokens ?: 0,
+                                completionTokens = it.outputTokens ?: 0,
+                                totalTokens = it.totalTokens ?: 0
+                            )
+                        }
+                        ChatResponsePart(content = "", done = true, usage = usage)
+                    }
+
+                    else -> {
+                        log.debug("忽略事件类型: {}", type)
+                        ChatResponsePart(content = "")
+                    }
+                }
+            }
+
+        )
+    }
+}
--- a/llmx-impl/llmx-impl-openai/src/main/kotlin/org/jcnc/llmx/impl/openai/controller/OpenAiProvider.kt
+++ b/llmx-impl/llmx-impl-openai/src/main/kotlin/org/jcnc/llmx/impl/openai/controller/OpenAiProvider.kt
@ -0,0 +1,33 @@
+package org.jcnc.llmx.impl.openai.controller
+
+import org.jcnc.llmx.core.common.entities.request.ChatRequest
+import org.jcnc.llmx.core.common.entities.request.EmbeddingRequest
+import org.jcnc.llmx.core.common.entities.response.ChatResponsePart
+import org.jcnc.llmx.core.common.entities.response.EmbeddingResponse
+import org.jcnc.llmx.core.spi.provider.LLMProvider
+import org.jcnc.llmx.impl.openai.config.service.OpenAiModelService
+import org.reactivestreams.Publisher
+import org.springframework.web.bind.annotation.RestController
+
+/**
+ *Open AI 提供商
+ *
+ * @since 2025-05-11 16:32:51
+ * @author gewuyou
+ */
+@RestController
+class OpenAiProvider(
+    private val openAiModelService: OpenAiModelService
+): LLMProvider {
+    override fun chat(request: ChatRequest): Publisher<ChatResponsePart> {
+        TODO("Not yet implemented")
+    }
+
+    override fun multimodalityChat(request: ChatRequest): Publisher<ChatResponsePart> {
+        return openAiModelService.streamMultimodalityChat(request)
+    }
+
+    override fun embedding(request: EmbeddingRequest): EmbeddingResponse {
+        TODO("Not yet implemented")
+    }
+}
--- a/llmx-impl/llmx-impl-openai/src/main/kotlin/org/jcnc/llmx/impl/openai/entities/response/OpenAiMultimodalityChatReposponse.kt
+++ b/llmx-impl/llmx-impl-openai/src/main/kotlin/org/jcnc/llmx/impl/openai/entities/response/OpenAiMultimodalityChatReposponse.kt
@ -0,0 +1,140 @@
+package org.jcnc.llmx.impl.openai.entities.response
+
+import com.fasterxml.jackson.annotation.JsonProperty
+
+/** 通用 SSE 响应封装类型 */
+data class SseEvent<T>(
+    @JsonProperty("type")
+    val type: String,
+    @JsonProperty("response")
+    val response: T
+)
+
+/** response.created, response.in_progress, response.completed 共用结构 */
+data class FullResponse(
+    @JsonProperty("id")
+    val id: String,
+    @JsonProperty("object")
+    val objectType: String,
+    @JsonProperty("created_at")
+    val createdAt: Long,
+    @JsonProperty("status")
+    val status: String,
+    @JsonProperty("model")
+    val model: String,
+    @JsonProperty("output")
+    val output: List<MessageItem>?,
+    @JsonProperty("service_tier")
+    val serviceTier: String?,
+    @JsonProperty("store")
+    val store: Boolean?,
+    @JsonProperty("temperature")
+    val temperature: Double?,
+    @JsonProperty("top_p")
+    val topP: Double?,
+    @JsonProperty("tool_choice")
+    val toolChoice: String?,
+    @JsonProperty("tools")
+    val tools: List<Any>?,
+    @JsonProperty("text")
+    val text: TextFormat?,
+    @JsonProperty("usage")
+    val usage: UsageInfo?
+)
+
+data class TextFormat(
+    @JsonProperty("format")
+    val format: FormatType
+)
+
+data class FormatType(
+    @JsonProperty("type")
+    val type: String
+)
+
+data class UsageInfo(
+    @JsonProperty("input_tokens")
+    val inputTokens: Int?,
+    @JsonProperty("output_tokens")
+    val outputTokens: Int?,
+    @JsonProperty("total_tokens")
+    val totalTokens: Int?
+)
+
+/** response.output_item.added, response.output_item.done 共用结构 */
+data class OutputItemEvent(
+    @JsonProperty("output_index")
+    val outputIndex: Int,
+    @JsonProperty("item")
+    val item: MessageItem
+)
+
+data class MessageItem(
+    @JsonProperty("id")
+    val id: String,
+    @JsonProperty("type")
+    val type: String,
+    @JsonProperty("status")
+    val status: String,
+    @JsonProperty("content")
+    val content: List<MessageContent>,
+    @JsonProperty("role")
+    val role: String
+)
+
+data class MessageContent(
+    @JsonProperty("type")
+    val type: String,
+    @JsonProperty("text")
+    val text: String,
+    @JsonProperty("annotations")
+    val annotations: List<Any>?
+)
+
+/** response.output_text.delta */
+data class OutputTextDelta(
+    @JsonProperty("item_id")
+    val itemId: String,
+    @JsonProperty("output_index")
+    val outputIndex: Int,
+    @JsonProperty("content_index")
+    val contentIndex: Int,
+    @JsonProperty("delta")
+    val delta: String
+)
+
+/** response.output_text.done */
+data class OutputTextDone(
+    @JsonProperty("item_id")
+    val itemId: String,
+    @JsonProperty("output_index")
+    val outputIndex: Int,
+    @JsonProperty("content_index")
+    val contentIndex: Int,
+    @JsonProperty("text")
+    val text: String
+)
+
+/** response.content_part.done */
+data class ContentPartDone(
+    @JsonProperty("item_id")
+    val itemId: String,
+    @JsonProperty("output_index")
+    val outputIndex: Int,
+    @JsonProperty("content_index")
+    val contentIndex: Int,
+    @JsonProperty("part")
+    val part: MessageContent
+)
+
+/** response.content_part.added */
+data class ContentPartAdded(
+    @JsonProperty("item_id")
+    val itemId: String,
+    @JsonProperty("output_index")
+    val outputIndex: Int,
+    @JsonProperty("content_index")
+    val contentIndex: Int,
+    @JsonProperty("part")
+    val part: MessageContent
+)
--- a/llmx-impl/llmx-impl-openai/src/main/kotlin/org/jcnc/llmx/impl/openai/extension/ChatRequestExtension.kt
+++ b/llmx-impl/llmx-impl-openai/src/main/kotlin/org/jcnc/llmx/impl/openai/extension/ChatRequestExtension.kt
@ -0,0 +1,36 @@
+package org.jcnc.llmx.impl.openai.extension
+
+import org.jcnc.llmx.core.common.entities.request.ChatRequest
+import org.jcnc.llmx.core.common.entities.request.MultiModalContent
+
+fun ChatRequest.toOpenAIMultimodalityChatRequest(): Map<String, Any> {
+    val input = this.messages.map { msg ->
+        mapOf(
+            "role" to msg.role,
+            "content" to msg.content.map { content ->
+                when (content) {
+                    is MultiModalContent.Text -> mapOf(
+                        "type" to "input_text",
+                        "text" to content.text
+                    )
+
+                    is MultiModalContent.Image -> mapOf(
+                        "type" to "input_image",
+                        "image_url" to content.image
+                    )
+                }
+            }
+        )
+    }
+
+    val base = mutableMapOf(
+        "model" to model,
+        "input" to input,
+    )
+
+    // 附加参数（比如 temperature, max_tokens 等）
+    base.putAll(options)
+
+    return base
+}
+
--- a/llmx-impl/llmx-impl-openai/src/main/resources/application-dev.yml
+++ b/llmx-impl/llmx-impl-openai/src/main/resources/application-dev.yml
@ -0,0 +1,2 @@
+server:
+  port: 8083
--- a/llmx-impl/llmx-impl-openai/src/main/resources/application-master.yml
+++ b/llmx-impl/llmx-impl-openai/src/main/resources/application-master.yml
@ -0,0 +1,2 @@
+server:
+  port: 9004
--- a/llmx-impl/llmx-impl-openai/src/main/resources/application-test.yml
+++ b/llmx-impl/llmx-impl-openai/src/main/resources/application-test.yml
@ -0,0 +1,2 @@
+server:
+  port: 9004
--- a/llmx-impl/llmx-impl-openai/src/main/resources/application.properties
+++ b/llmx-impl/llmx-impl-openai/src/main/resources/application.properties
@ -1 +0,0 @@
-spring.application.name=llmx-impl-openai
--- a/llmx-impl/llmx-impl-openai/src/main/resources/application.yml
+++ b/llmx-impl/llmx-impl-openai/src/main/resources/application.yml
@ -0,0 +1,3 @@
+spring:
+  profiles:
+    active: dev
--- a/llmx-impl/llmx-impl-openai/src/main/resources/bootstrap-dev.yml
+++ b/llmx-impl/llmx-impl-openai/src/main/resources/bootstrap-dev.yml
@ -0,0 +1,22 @@
+spring:
+  cloud:
+    nacos:
+      ip: 127.0.0.1
+      username: nacos
+      password: L4s6f9y3,
+      server-addr: 49.235.96.75:8848
+      discovery:
+        ip: ${spring.cloud.nacos.ip}
+        username: ${spring.cloud.nacos.username}
+        password: ${spring.cloud.nacos.password}
+        server-addr: ${spring.cloud.nacos.server-addr}
+        group: llmx-${spring.profiles.active}
+        namespace: a17d57ec-4fd9-44c7-a617-7f6003a0b332
+      config:
+        file-extension: yaml
+        namespace: a17d57ec-4fd9-44c7-a617-7f6003a0b332
+        refresh-enabled: true
+        extension-configs:
+          - data-id: ${spring.application.name}-${spring.profiles.active}.yaml
+            refresh: true
+            group: ${spring.application.name}
--- a/llmx-impl/llmx-impl-openai/src/main/resources/bootstrap-master.yml
+++ b/llmx-impl/llmx-impl-openai/src/main/resources/bootstrap-master.yml
@ -0,0 +1,20 @@
+spring:
+  cloud:
+    nacos:
+      username: nacos
+      password: L4s6f9y3,
+      server-addr: 49.235.96.75:8848
+      discovery:
+        username: ${spring.cloud.nacos.username}
+        password: ${spring.cloud.nacos.password}
+        server-addr: ${spring.cloud.nacos.server-addr}
+        group: llmx-${spring.profiles.active}
+        namespace: ab34d859-6f1a-4f28-ac6b-27a7410ab27b
+      config:
+        file-extension: yaml
+        namespace: ab34d859-6f1a-4f28-ac6b-27a7410ab27b
+        refresh-enabled: true
+        extension-configs:
+          - data-id: ${spring.application.name}-${spring.profiles.active}.yaml
+            refresh: true
+            group: ${spring.application.name}
--- a/llmx-impl/llmx-impl-openai/src/main/resources/bootstrap-test.yml
+++ b/llmx-impl/llmx-impl-openai/src/main/resources/bootstrap-test.yml
@ -0,0 +1,20 @@
+spring:
+  cloud:
+    nacos:
+      username: nacos
+      password: L4s6f9y3,
+      server-addr: llmx-nacos:8848
+      discovery:
+        username: ${spring.cloud.nacos.username}
+        password: ${spring.cloud.nacos.password}
+        server-addr: ${spring.cloud.nacos.server-addr}
+        group: llmx-${spring.profiles.active}
+        namespace: 54a289f7-5f4a-4c83-8a0a-199defa35458
+      config:
+        file-extension: yaml
+        namespace: 54a289f7-5f4a-4c83-8a0a-199defa35458
+        refresh-enabled: true
+        extension-configs:
+          - data-id: ${spring.application.name}-${spring.profiles.active}.yaml
+            refresh: true
+            group: ${spring.application.name}
--- a/llmx-impl/llmx-impl-openai/src/main/resources/bootstrap.yml
+++ b/llmx-impl/llmx-impl-openai/src/main/resources/bootstrap.yml
@ -0,0 +1,5 @@
+spring:
+  application:
+    name: llmx-impl-openai
+  profiles:
+    active: dev
Author	SHA1	Message	Date
gewuyou	803d004501	refactor(llmx-impl-openai): 重构 OpenAI 模型服务和响应处理 All checks were successful CI/CD Pipeline / build-and-deploy (push) Successful in 3m54s Details - 优化 OpenAiModelServiceImpl 中的 JSON 解析逻辑 - 修改 SseEvent 数据类，将 data 字段改为 response - 调整响应处理逻辑，以适应新的数据结构	2025-05-11 22:44:00 +08:00
gewuyou	5da978ab4d	build(llmx-impl-openai): 添加 llmx-impl-openai服务的 Docker 配置 All checks were successful CI/CD Pipeline / build-and-deploy (push) Successful in 9m34s Details - 新增项目名称、端口、环境变量等配置 - 设置 Docker 镜像名称和构建路径 - 配置容器启动命令	2025-05-11 22:05:48 +08:00
gewuyou	d429cde555	feat(docker): 添加 OpenAI 实现服务 Some checks failed CI/CD Pipeline / build-and-deploy (push) Failing after 3m5s Details - 新增 llmx-impl-openai 服务，使用 Docker 部署 -配置端口映射、网络、环境变量和卷 - 更新网络和卷定义，支持 OpenAI 服务	2025-05-11 21:59:07 +08:00
gewuyou	f32ee88300	feat(llmx): 添加 OpenAI接口支持 All checks were successful CI/CD Pipeline / build-and-deploy (push) Successful in 3m42s Details - 新增 OpenAI 适配器和相关配置 - 实现 OpenAI 模型服务和控制器 - 添加 ChatRequest 扩展函数以支持 OpenAI 请求格式 - 更新 ModelRouteManager 中的模型服务映射逻辑	2025-05-11 21:48:41 +08:00