feat: persistent chat message storage + Android pull-to-load history

Backend:
- Add ChatMessage model + Alembic migration 024
- Add on_message callback to AgentRuntime for persisting messages during SSE streaming
- Plumb session_id from ChatRequest to AgentContext in all 4 chat endpoints
- Add GET /agent-chat/{id}/sessions and /sessions/{sid}/messages with cursor pagination

Android:
- Add DTOs/ApiService/MessageDao for server-side chat history
- ChatRepository: fetchOlderMessages (API + Room cache), offline fallback
- ChatViewModel: loadMoreHistory with isLoadingMore/hasMoreMessages state
- ChatScreen: scroll-to-top detection + top loading indicator

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

android/app/src/main/java/com/tiangong/aiagent/data/local/MessageDao.kt

@@ -23,4 +23,10 @@ interface MessageDao {
 
     @Query("DELETE FROM messages")
     suspend fun deleteAll()
+
+    @Query("SELECT * FROM messages WHERE conversationId = :conversationId AND createdAt < :beforeTimestamp ORDER BY createdAt DESC LIMIT :limit")
+    suspend fun getMessagesBeforeTimestamp(conversationId: String, beforeTimestamp: Long, limit: Int): List<MessageEntity>
+
+    @Query("SELECT COUNT(*) FROM messages WHERE conversationId = :conversationId")
+    suspend fun getMessageCount(conversationId: String): Int
 }

android/app/src/main/java/com/tiangong/aiagent/data/remote/ApiService.kt

@@ -97,4 +97,19 @@ interface ApiService {
     // ─── Feedback ───
     @POST("api/v1/feedback")
     suspend fun submitFeedback(@Body request: FeedbackRequest): FeedbackResponse
+
+    // ─── Chat History ───
+    @GET("api/v1/agent-chat/{agentId}/sessions/{sessionId}/messages")
+    suspend fun getSessionMessages(
+        @Path("agentId") agentId: String,
+        @Path("sessionId") sessionId: String,
+        @Query("before_id") beforeId: String? = null,
+        @Query("limit") limit: Int = 50
+    ): MessageHistoryResponse
+
+    @GET("api/v1/agent-chat/{agentId}/sessions")
+    suspend fun getAgentSessions(
+        @Path("agentId") agentId: String,
+        @Query("limit") limit: Int = 50
+    ): SessionListResponse
 }

android/app/src/main/java/com/tiangong/aiagent/data/remote/dto/Dtos.kt

@@ -275,6 +275,45 @@ data class RegisterResponse(
     val message: String? = null
 )
 
+// ─────────── Feedback ───────────
+
+
+// ─────────── Chat History ───────────
+
+data class MessageItemDto(
+    val id: String,
+    @SerializedName("session_id") val sessionId: String,
+    @SerializedName("agent_id") val agentId: String? = null,
+    @SerializedName("user_id") val userId: String? = null,
+    val role: String,
+    val content: String? = null,
+    @SerializedName("tool_name") val toolName: String? = null,
+    @SerializedName("tool_input") val toolInput: String? = null,
+    @SerializedName("tool_output") val toolOutput: String? = null,
+    val iteration: Int = 0,
+    @SerializedName("created_at") val createdAt: String? = null
+)
+
+data class MessageHistoryResponse(
+    val messages: List<MessageItemDto>,
+    @SerializedName("has_more") val hasMore: Boolean,
+    val total: Int
+)
+
+data class SessionItemDto(
+    @SerializedName("session_id") val sessionId: String,
+    val title: String? = null,
+    @SerializedName("last_message") val lastMessage: String? = null,
+    @SerializedName("message_count") val messageCount: Int = 0,
+    @SerializedName("created_at") val createdAt: String? = null,
+    @SerializedName("updated_at") val updatedAt: String? = null
+)
+
+data class SessionListResponse(
+    val sessions: List<SessionItemDto>
+)
+
+
 // ─────────── Feedback ───────────
 
 data class FeedbackRequest(

android/app/src/main/java/com/tiangong/aiagent/data/repository/ChatRepository.kt

@@ -8,6 +8,10 @@ import com.tiangong.aiagent.data.remote.ApiService
 import com.tiangong.aiagent.data.remote.SseClient
 import com.tiangong.aiagent.data.remote.dto.ChatRequest
 import com.tiangong.aiagent.data.remote.dto.ChatResponse
+import com.tiangong.aiagent.data.remote.dto.MessageHistoryResponse
+import com.tiangong.aiagent.data.remote.dto.MessageItemDto
+import com.tiangong.aiagent.data.remote.dto.SessionListResponse
+import com.tiangong.aiagent.data.remote.dto.SessionItemDto
 import com.tiangong.aiagent.data.remote.dto.TtsRequest
 import com.tiangong.aiagent.domain.model.Conversation
 import com.tiangong.aiagent.domain.model.Message
@@ -257,4 +261,136 @@ class ChatRepository @Inject constructor(
             Result.failure(e)
         }
     }
+
+    // ─── Chat History (v1.3.0): Server-side pagination + Room cache ───
+
+    /** Fetch older messages from the server for cursor-based pagination. */
+    suspend fun fetchOlderMessages(
+        agentId: String,
+        sessionId: String,
+        beforeId: String? = null,
+        limit: Int = 50
+    ): Result<Pair<List<Message>, Boolean>> {
+        return try {
+            val response: MessageHistoryResponse = apiService.getSessionMessages(
+                agentId = agentId,
+                sessionId = sessionId,
+                beforeId = beforeId,
+                limit = limit
+            )
+            // Cache fetched messages to local Room
+            cacheMessagesFromApi(response.messages, sessionId, agentId)
+            val messages = response.messages.map { it.toDomainMessage() }
+            Result.success(Pair(messages, response.hasMore))
+        } catch (e: Exception) {
+            Result.failure(e)
+        }
+    }
+
+    /** Fetch agent's session list from server. */
+    suspend fun fetchAgentSessions(agentId: String, limit: Int = 50): Result<List<SessionItemDto>> {
+        return try {
+            val response: SessionListResponse = apiService.getAgentSessions(agentId, limit)
+            Result.success(response.sessions)
+        } catch (e: Exception) {
+            Result.failure(e)
+        }
+    }
+
+    /** Get older messages from local Room (offline fallback). */
+    suspend fun getOlderMessagesFromRoom(
+        conversationId: String,
+        beforeTimestamp: Long,
+        limit: Int = 50
+    ): List<Message> {
+        val entities = database.messageDao().getMessagesBeforeTimestamp(
+            conversationId = conversationId,
+            beforeTimestamp = beforeTimestamp,
+            limit = limit
+        )
+        return entities.map { it.toDomainMessage() }
+    }
+
+    /** Check if there are more messages available on the server for a session. */
+    suspend fun hasMoreServerMessages(agentId: String, sessionId: String): Boolean {
+        val localCount = database.messageDao().getMessageCount(sessionId)
+        return try {
+            val response = apiService.getSessionMessages(
+                agentId = agentId, sessionId = sessionId, beforeId = null, limit = 1
+            )
+            response.total > localCount
+        } catch (e: Exception) {
+            false
+        }
+    }
+
+    // ─── Helpers ───
+
+    private suspend fun cacheMessagesFromApi(dtos: List<MessageItemDto>, sessionId: String, agentId: String?) {
+        val dao = database.messageDao()
+        for (dto in dtos) {
+            dao.insert(
+                MessageEntity(
+                    id = dto.id,
+                    conversationId = sessionId,
+                    agentId = dto.agentId ?: agentId,
+                    role = dto.role,
+                    content = dto.content ?: "",
+                    toolName = dto.toolName,
+                    toolInput = dto.toolInput,
+                    toolOutput = dto.toolOutput,
+                    tokenUsageJson = null,
+                    createdAt = dto.createdAt?.let { parseIso8601ToEpoch(it) } ?: System.currentTimeMillis()
+                )
+            )
+        }
+    }
+
+    private fun MessageItemDto.toDomainMessage(): Message {
+        return Message(
+            id = id,
+            conversationId = sessionId,
+            agentId = agentId,
+            role = try {
+                Message.Role.valueOf(role.uppercase())
+            } catch (e: Exception) {
+                Message.Role.SYSTEM
+            },
+            content = content ?: "",
+            toolName = toolName,
+            toolInput = toolInput,
+            toolOutput = toolOutput,
+            createdAt = createdAt?.let { parseIso8601ToEpoch(it) } ?: System.currentTimeMillis()
+        )
+    }
+
+    private fun MessageEntity.toDomainMessage(): Message {
+        return Message(
+            id = id,
+            conversationId = conversationId,
+            agentId = agentId,
+            role = try {
+                Message.Role.valueOf(role.uppercase())
+            } catch (e: Exception) {
+                Message.Role.SYSTEM
+            },
+            content = content,
+            toolName = toolName,
+            toolInput = toolInput,
+            toolOutput = toolOutput,
+            createdAt = createdAt
+        )
+    }
+
+    companion object {
+        fun parseIso8601ToEpoch(isoString: String): Long {
+            return try {
+                val sdf = java.text.SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ss", java.util.Locale.US)
+                sdf.timeZone = java.util.TimeZone.getTimeZone("UTC")
+                sdf.parse(isoString.substringBefore('.'))?.time ?: System.currentTimeMillis()
+            } catch (e: Exception) {
+                System.currentTimeMillis()
+            }
+        }
+    }
 }

android/app/src/main/java/com/tiangong/aiagent/ui/chat/ChatScreen.kt

@@ -74,13 +74,27 @@ fun ChatScreen(
         onDispose { lifecycleOwner.lifecycle.removeObserver(observer) }
     }
 
-    // Auto-scroll when new messages arrive
+    // Auto-scroll when new messages arrive (only when not loading more history)
     LaunchedEffect(uiState.messages.size) {
-        if (uiState.messages.isNotEmpty()) {
+        if (uiState.messages.isNotEmpty() && !uiState.isLoadingMore) {
             listState.animateScrollToItem(uiState.messages.size - 1)
         }
     }
 
+    // Scroll-to-top detection for loading more history
+    val isAtTop by remember {
+        derivedStateOf {
+            listState.firstVisibleItemIndex == 0 &&
+                    listState.firstVisibleItemScrollOffset == 0
+        }
+    }
+
+    LaunchedEffect(isAtTop) {
+        if (isAtTop && uiState.hasMoreMessages && !uiState.isLoadingMore) {
+            viewModel.loadMoreHistory()
+        }
+    }
+
     // Pre-fill input when editing a message
     LaunchedEffect(uiState.editingMessageId) {
         uiState.editingMessageContent?.let { inputText = it }
@@ -452,6 +466,28 @@ fun ChatScreen(
                     modifier = Modifier.fillMaxSize().weight(1f),
                     contentPadding = PaddingValues(vertical = 8.dp)
                 ) {
+                    // Loading indicator at top (pull-to-load more history)
+                    if (uiState.isLoadingMore) {
+                        item(key = "loading_more") {
+                            Row(
+                                modifier = Modifier.fillMaxWidth().padding(8.dp),
+                                horizontalArrangement = Arrangement.Center,
+                                verticalAlignment = Alignment.CenterVertically
+                            ) {
+                                CircularProgressIndicator(
+                                    modifier = Modifier.size(20.dp),
+                                    strokeWidth = 2.dp
+                                )
+                                Spacer(modifier = Modifier.width(8.dp))
+                                Text(
+                                    text = "加载更多...",
+                                    style = MaterialTheme.typography.bodySmall,
+                                    color = MaterialTheme.colorScheme.onSurfaceVariant
+                                )
+                            }
+                        }
+                    }
+
                     // Skeleton loading on first load
                     if (!firstLoaded && uiState.messages.isEmpty() && !uiState.isStreaming) {
                         item { SkeletonChat() }

android/app/src/main/java/com/tiangong/aiagent/ui/chat/ChatViewModel.kt

@@ -69,7 +69,11 @@ data class ChatUiState(
     val pendingQueueCount: Int = 0,
 
     // Think trace entries (v1.1.0)
-    val thinkTraces: List<ThinkTraceEntry> = emptyList()
+    val thinkTraces: List<ThinkTraceEntry> = emptyList(),
+
+    // Pull-to-load history (v1.3.0)
+    val isLoadingMore: Boolean = false,
+    val hasMoreMessages: Boolean = true
 )
 
 data class ThinkTraceEntry(
@@ -236,7 +240,8 @@ class ChatViewModel @Inject constructor(
         historyFlowJob?.cancel()
         historyFlowJob = viewModelScope.launch {
             val conversations = chatRepository.getConversationsByAgent(agentId)
-            val latestConversation = conversations.firstOrNull() ?: return@launch
+            val latestConversation = conversations.firstOrNull()
+            if (latestConversation != null) {
                 chatRepository.getMessages(latestConversation.sessionId).collect { messages ->
                     if (messages.isNotEmpty() && _uiState.value.currentAgent?.id == agentId) {
                         _uiState.value = _uiState.value.copy(
@@ -245,6 +250,26 @@ class ChatViewModel @Inject constructor(
                         )
                     }
                 }
+            } else {
+                // No local conversations — try fetching from server
+                val result = chatRepository.fetchAgentSessions(agentId, limit = 1)
+                if (result.isSuccess) {
+                    val sessions = result.getOrThrow()
+                    val latestSession = sessions.firstOrNull() ?: return@launch
+                    val msgResult = chatRepository.fetchOlderMessages(
+                        agentId = agentId, sessionId = latestSession.sessionId, limit = 50
+                    )
+                    if (msgResult.isSuccess) {
+                        val (msgs, hasMore) = msgResult.getOrThrow()
+                        _uiState.value = _uiState.value.copy(
+                            messages = msgs.map { it.toUiMessage() },
+                            sessionId = latestSession.sessionId,
+                            hasMoreMessages = hasMore
+                        )
+                        tokenDataStore.saveLastSessionId(latestSession.sessionId)
+                    }
+                }
+            }
         }
     }
 
@@ -271,10 +296,11 @@ class ChatViewModel @Inject constructor(
         sseJob?.cancel()
         viewModelScope.launch {
             tokenDataStore.saveLastSessionId(sessionId)
-            chatRepository.getMessages(sessionId).collect { messages ->
+            // First check Room
-                if (messages.isNotEmpty()) {
+            val localMsgs = chatRepository.getMessages(sessionId).first()
+            if (localMsgs.isNotEmpty()) {
                 _uiState.value = _uiState.value.copy(
-                        messages = messages.map { it.toUiMessage() },
+                    messages = localMsgs.map { it.toUiMessage() },
                     sessionId = sessionId,
                     streamingContent = "",
                     isLoading = false,
@@ -282,6 +308,95 @@ class ChatViewModel @Inject constructor(
                     error = null,
                     reconnectionState = ReconnectionState.Idle
                 )
+                // Continue observing local changes
+                historyFlowJob?.cancel()
+                historyFlowJob = viewModelScope.launch {
+                    chatRepository.getMessages(sessionId).collect { messages ->
+                        if (messages.isNotEmpty()) {
+                            _uiState.value = _uiState.value.copy(
+                                messages = messages.map { it.toUiMessage() }
+                            )
+                        }
+                    }
+                }
+            } else {
+                // Try server
+                val agentId = _uiState.value.currentAgent?.id ?: return@launch
+                val result = chatRepository.fetchOlderMessages(
+                    agentId = agentId, sessionId = sessionId, limit = 50
+                )
+                if (result.isSuccess) {
+                    val (msgs, hasMore) = result.getOrThrow()
+                    _uiState.value = _uiState.value.copy(
+                        messages = msgs.map { it.toUiMessage() },
+                        sessionId = sessionId,
+                        streamingContent = "",
+                        isLoading = false,
+                        isStreaming = false,
+                        error = null,
+                        reconnectionState = ReconnectionState.Idle,
+                        hasMoreMessages = hasMore
+                    )
+                }
+            }
+        }
+    }
+
+    fun loadMoreHistory() {
+        val state = _uiState.value
+        if (state.isLoadingMore || !state.hasMoreMessages) return
+        val agentId = state.currentAgent?.id ?: return
+        val sessionId = state.sessionId ?: return
+        val oldestMsg = state.messages.firstOrNull() ?: return
+
+        viewModelScope.launch {
+            _uiState.value = _uiState.value.copy(isLoadingMore = true)
+
+            // Capture current scroll anchor (first visible item id + offset)
+            val anchorId = oldestMsg.id
+
+            val result = chatRepository.fetchOlderMessages(
+                agentId = agentId,
+                sessionId = sessionId,
+                beforeId = anchorId,
+                limit = 50
+            )
+
+            if (result.isSuccess) {
+                val (olderMessages, hasMore) = result.getOrThrow()
+                val current = _uiState.value.messages.toMutableList()
+                // Prepend older messages (avoid duplicates by id)
+                val existingIds = current.map { it.id }.toSet()
+                val newMsgs = olderMessages.filter { it.id !in existingIds }.map { it.toUiMessage() }
+                current.addAll(0, newMsgs)
+                _uiState.value = _uiState.value.copy(
+                    messages = current,
+                    hasMoreMessages = hasMore,
+                    isLoadingMore = false
+                )
+            } else {
+                // API failed — try Room fallback
+                val oldestTimestamp = oldestMsg.createdAt
+                val roomMsgs = chatRepository.getOlderMessagesFromRoom(
+                    conversationId = sessionId,
+                    beforeTimestamp = oldestTimestamp,
+                    limit = 50
+                )
+                if (roomMsgs.isNotEmpty()) {
+                    val current = _uiState.value.messages.toMutableList()
+                    val existingIds = current.map { it.id }.toSet()
+                    val newMsgs = roomMsgs.filter { it.id !in existingIds }.map { it.toUiMessage() }
+                    current.addAll(0, newMsgs)
+                    _uiState.value = _uiState.value.copy(
+                        messages = current,
+                        hasMoreMessages = roomMsgs.size >= 50,
+                        isLoadingMore = false
+                    )
+                } else {
+                    _uiState.value = _uiState.value.copy(
+                        hasMoreMessages = false,
+                        isLoadingMore = false
+                    )
                 }
             }
         }

backend/alembic/versions/104e05fc9cf2_024_add_chat_messages.py

@@ -0,0 +1,45 @@
+"""024_add_chat_messages
+
+Revision ID: 104e05fc9cf2
+Revises: 15623091001e
+Create Date: 2026-06-29 23:40:32.303965
+
+"""
+from alembic import op
+import sqlalchemy as sa
+from sqlalchemy.dialects import mysql
+
+
+# revision identifiers, used by Alembic.
+revision = '104e05fc9cf2'
+down_revision = '15623091001e'
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.create_table('chat_messages',
+        sa.Column('id', mysql.CHAR(length=36), nullable=False, comment='消息ID'),
+        sa.Column('session_id', mysql.CHAR(length=36), nullable=False, comment='会话ID'),
+        sa.Column('agent_id', mysql.CHAR(length=36), nullable=True, comment='智能体ID'),
+        sa.Column('user_id', mysql.CHAR(length=36), nullable=True, comment='用户ID'),
+        sa.Column('role', sa.String(length=20), nullable=False, comment='角色: user/assistant/tool/system'),
+        sa.Column('content', sa.Text(), nullable=True, comment='消息内容'),
+        sa.Column('tool_name', sa.String(length=100), nullable=True, comment='工具名称'),
+        sa.Column('tool_input', sa.Text(), nullable=True, comment='工具输入参数JSON'),
+        sa.Column('tool_output', sa.Text(), nullable=True, comment='工具输出结果'),
+        sa.Column('iteration', sa.Integer(), nullable=True, comment='Agent迭代序号'),
+        sa.Column('created_at', sa.DateTime(), nullable=True, comment='创建时间'),
+        sa.ForeignKeyConstraint(['agent_id'], ['agents.id'], ondelete='SET NULL'),
+        sa.ForeignKeyConstraint(['user_id'], ['users.id'], ondelete='SET NULL'),
+        sa.PrimaryKeyConstraint('id'),
+        mysql_collate='utf8mb4_unicode_ci',
+        mysql_default_charset='utf8mb4',
+        mysql_engine='InnoDB'
+    )
+    op.create_index('ix_chat_messages_session_created', 'chat_messages', ['session_id', 'created_at'], unique=False)
+
+
+def downgrade() -> None:
+    op.drop_index('ix_chat_messages_session_created', table_name='chat_messages')
+    op.drop_table('chat_messages')

backend/app/agent_runtime/core.py

@@ -105,6 +105,7 @@ class AgentRuntime:
         execution_logger: Optional[Any] = None,
         on_tool_executed: Optional[Callable[[str], Any]] = None,
         on_llm_call: Optional[Callable[[Dict[str, Any]], Any]] = None,
+        on_message: Optional[Callable[[Dict[str, Any]], Any]] = None,
         hook_manager: Optional[HookManager] = None,
         streamlined: bool = False,
     ):
@@ -141,6 +142,7 @@ class AgentRuntime:
         self.execution_logger = execution_logger
         self.on_tool_executed = on_tool_executed
         self.on_llm_call = on_llm_call
+        self.on_message = on_message
         self._memory_context_loaded = False
         self._llm_invocations = 0
         # 自主学习作用域：bare 聊天用 "bare"，Agent 用 "agent"
@@ -808,6 +810,12 @@ class AgentRuntime:
 
         # 2. 追加用户消息
         self.context.add_user_message(user_input)
+        if self.on_message:
+            self.on_message({
+                "role": "user", "content": user_input,
+                "session_id": self.context.session_id,
+                "iteration": 0,
+            })
 
         # 2.5 计划模式 (P2) — 流式生成执行计划
         plan: Optional[Plan] = None
@@ -969,6 +977,12 @@ class AgentRuntime:
                 # LLM 直接返回文本 → 结束
                 self.context.add_assistant_message(content)
                 final_text = content or "（模型未返回有效内容）"
+                if self.on_message:
+                    self.on_message({
+                        "role": "assistant", "content": final_text,
+                        "session_id": self.context.session_id,
+                        "iteration": self.context.iteration,
+                    })
                 review_score = 0.0
 
                 # 输出质量自检（默认关闭）
@@ -1027,6 +1041,12 @@ class AgentRuntime:
 
             # 有工具调用 → 先记录 assistant 消息
             self.context.add_assistant_message(content or "", tool_calls, reasoning)
+            if self.on_message:
+                self.on_message({
+                    "role": "assistant", "content": content or "",
+                    "session_id": self.context.session_id,
+                    "iteration": self.context.iteration,
+                })
 
             # yield think 事件
             tc_names = [tc["function"]["name"] for tc in tool_calls]
@@ -1087,6 +1107,15 @@ class AgentRuntime:
                     result = json.dumps({"error": hook_res.reason}, ensure_ascii=False)
                     yield {"type": "tool_result", "name": tname, "result": result, "iteration": self.context.iteration}
                     self.context.add_tool_result(tcid, tname, result)
+                    if self.on_message:
+                        self.on_message({
+                            "role": "tool", "content": result,
+                            "session_id": self.context.session_id,
+                            "iteration": self.context.iteration,
+                            "tool_name": tname,
+                            "tool_input": json.dumps(targs, ensure_ascii=False) if targs else None,
+                            "tool_output": result,
+                        })
                     continue
                 if hook_res.modified_input:
                     targs = hook_res.modified_input
@@ -1119,11 +1148,29 @@ class AgentRuntime:
                         result = f"[审批拒绝] 工具 {tname} 需要人工审批但被拒绝。"
                         yield {"type": "tool_result", "name": tname, "result": result, "iteration": self.context.iteration}
                         self.context.add_tool_result(tcid, tname, result)
+                        if self.on_message:
+                            self.on_message({
+                                "role": "tool", "content": result,
+                                "session_id": self.context.session_id,
+                                "iteration": self.context.iteration,
+                                "tool_name": tname,
+                                "tool_input": json.dumps(targs, ensure_ascii=False) if targs else None,
+                                "tool_output": result,
+                            })
                         continue
                     elif decision == "skip":
                         result = f"[审批跳过] 工具 {tname} 被跳过。"
                         yield {"type": "tool_result", "name": tname, "result": result, "iteration": self.context.iteration}
                         self.context.add_tool_result(tcid, tname, result)
+                        if self.on_message:
+                            self.on_message({
+                                "role": "tool", "content": result,
+                                "session_id": self.context.session_id,
+                                "iteration": self.context.iteration,
+                                "tool_name": tname,
+                                "tool_input": json.dumps(targs, ensure_ascii=False) if targs else None,
+                                "tool_output": result,
+                            })
                         continue
                     # decision == "approved" → 继续执行
 
@@ -1154,6 +1201,15 @@ class AgentRuntime:
                 ))
 
                 self.context.add_tool_result(tcid, tname, result)
+                if self.on_message:
+                    self.on_message({
+                        "role": "tool", "content": result,
+                        "session_id": self.context.session_id,
+                        "iteration": self.context.iteration,
+                        "tool_name": tname,
+                        "tool_input": json.dumps(targs, ensure_ascii=False) if targs else None,
+                        "tool_output": result,
+                    })
                 self.context.tool_calls_made += 1
 
                 # Hook: PostToolUse — 工具执行后处理 (流式)

backend/app/api/agent_chat.py

@@ -28,9 +28,11 @@ from app.agent_runtime import (
     AgentBudgetConfig,
     AgentMemoryConfig,
     AgentStep,
+    AgentContext,
     AgentOrchestrator,
     OrchestratorAgentConfig,
 )
+from app.models.chat_message import ChatMessage
 from app.core.config import settings
 
 logger = logging.getLogger(__name__)
@@ -68,6 +70,32 @@ def _make_llm_logger(
     return _log
 
 
+def _make_message_saver(
+    db: Session,
+    agent_id: Optional[str] = None,
+    user_id: Optional[str] = None,
+):
+    """创建消息持久化回调，将每条消息写入 chat_messages 表。"""
+    def _save(msg: dict):
+        try:
+            record = ChatMessage(
+                session_id=msg.get("session_id"),
+                agent_id=agent_id,
+                user_id=user_id,
+                role=msg.get("role", "user"),
+                content=msg.get("content"),
+                tool_name=msg.get("tool_name"),
+                tool_input=msg.get("tool_input"),
+                tool_output=msg.get("tool_output"),
+                iteration=msg.get("iteration", 0),
+            )
+            db.add(record)
+            db.commit()
+        except Exception as e:
+            logger.warning("写入 ChatMessage 失败: %s", e)
+    return _save
+
+
 async def _sse_stream(gen: AsyncGenerator[dict, None]) -> AsyncGenerator[str, None]:
     """将 run_stream 生成的 dict 事件格式化为 SSE 文本流。"""
     async for event in gen:
@@ -99,6 +127,43 @@ class ChatResponse(BaseModel):
     token_usage: Optional[Dict[str, Any]] = Field(default=None, description="Token 预算摘要")
 
 
+class MessageItem(BaseModel):
+    """消息历史条目"""
+    id: str
+    session_id: str
+    agent_id: Optional[str] = None
+    user_id: Optional[str] = None
+    role: str
+    content: Optional[str] = None
+    tool_name: Optional[str] = None
+    tool_input: Optional[str] = None
+    tool_output: Optional[str] = None
+    iteration: int = 0
+    created_at: Optional[str] = None
+
+
+class MessageHistoryResponse(BaseModel):
+    """消息历史分页响应"""
+    messages: List[MessageItem]
+    has_more: bool
+    total: int
+
+
+class SessionItem(BaseModel):
+    """会话列表条目"""
+    session_id: str
+    title: Optional[str] = None
+    last_message: Optional[str] = None
+    message_count: int = 0
+    created_at: Optional[str] = None
+    updated_at: Optional[str] = None
+
+
+class SessionListResponse(BaseModel):
+    """会话列表响应"""
+    sessions: List[SessionItem]
+
+
 class OrchestrateAgentItem(BaseModel):
     """编排中单个 Agent 的定义"""
     id: str
@@ -270,7 +335,9 @@ async def chat_bare(
     if req.system_prompt_override:
         config.system_prompt = req.system_prompt_override
     on_llm_call = _make_llm_logger(db, agent_id=None, user_id=current_user.id)
-    runtime = AgentRuntime(config=config, on_llm_call=on_llm_call, streamlined=req.streamlined)
+    on_message = _make_message_saver(db, agent_id=None, user_id=current_user.id)
+    context = AgentContext(session_id=req.session_id)
+    runtime = AgentRuntime(config=config, context=context, on_llm_call=on_llm_call, on_message=on_message, streamlined=req.streamlined)
     result = await runtime.run(req.message)
 
     # 流式美化：为 steps 生成累计摘要
@@ -333,7 +400,9 @@ async def chat_bare_stream(
     if req.system_prompt_override:
         config.system_prompt = req.system_prompt_override
     on_llm_call = _make_llm_logger(db, agent_id=None, user_id=current_user.id)
-    runtime = AgentRuntime(config=config, on_llm_call=on_llm_call, streamlined=req.streamlined)
+    on_message = _make_message_saver(db, agent_id=None, user_id=current_user.id)
+    context = AgentContext(session_id=req.session_id)
+    runtime = AgentRuntime(config=config, context=context, on_llm_call=on_llm_call, on_message=on_message, streamlined=req.streamlined)
     return StreamingResponse(
         _sse_stream(runtime.run_stream(req.message)),
         media_type="text/event-stream",
@@ -417,7 +486,9 @@ async def chat_with_agent(
         config.system_prompt = req.system_prompt_override
 
     on_llm_call = _make_llm_logger(db, agent_id=agent_id, user_id=current_user.id)
-    runtime = AgentRuntime(config=config, on_llm_call=on_llm_call, streamlined=req.streamlined)
+    on_message = _make_message_saver(db, agent_id=agent_id, user_id=current_user.id)
+    context = AgentContext(session_id=req.session_id)
+    runtime = AgentRuntime(config=config, context=context, on_llm_call=on_llm_call, on_message=on_message, streamlined=req.streamlined)
     result = await runtime.run(req.message)
 
     # 流式美化：为 steps 生成累计摘要
@@ -511,7 +582,9 @@ async def chat_with_agent_stream(
         config.system_prompt = req.system_prompt_override
 
     on_llm_call = _make_llm_logger(db, agent_id=agent_id, user_id=current_user.id)
-    runtime = AgentRuntime(config=config, on_llm_call=on_llm_call, streamlined=req.streamlined)
+    on_message = _make_message_saver(db, agent_id=agent_id, user_id=current_user.id)
+    context = AgentContext(session_id=req.session_id)
+    runtime = AgentRuntime(config=config, context=context, on_llm_call=on_llm_call, on_message=on_message, streamlined=req.streamlined)
     return StreamingResponse(
         _sse_stream(runtime.run_stream(req.message)),
         media_type="text/event-stream",
@@ -523,6 +596,127 @@ async def chat_with_agent_stream(
     )
 
 
+@router.get("/{agent_id}/sessions", response_model=SessionListResponse)
+async def list_agent_sessions(
+    agent_id: str,
+    limit: int = 50,
+    current_user: User = Depends(get_current_user),
+    db: Session = Depends(get_db),
+):
+    """获取 Agent 的会话列表，按最近活跃时间排序。"""
+    from sqlalchemy import func as sa_func, desc
+
+    # 验证 agent 存在或有权限
+    agent = db.query(Agent).filter(Agent.id == agent_id).first()
+    if not agent:
+        raise HTTPException(status_code=404, detail="Agent 不存在")
+
+    rows = (
+        db.query(
+            ChatMessage.session_id,
+            sa_func.min(ChatMessage.created_at).label("created_at"),
+            sa_func.max(ChatMessage.created_at).label("updated_at"),
+            sa_func.count(ChatMessage.id).label("message_count"),
+        )
+        .filter(ChatMessage.agent_id == agent_id)
+        .group_by(ChatMessage.session_id)
+        .order_by(desc("updated_at"))
+        .limit(limit)
+        .all()
+    )
+
+    sessions = []
+    for row in rows:
+        # 取第一条 user 消息作为标题
+        first_user_msg = (
+            db.query(ChatMessage)
+            .filter(
+                ChatMessage.session_id == row.session_id,
+                ChatMessage.role == "user",
+            )
+            .order_by(ChatMessage.created_at.asc())
+            .first()
+        )
+        # 取最后一条消息作为预览
+        last_msg = (
+            db.query(ChatMessage)
+            .filter(ChatMessage.session_id == row.session_id)
+            .order_by(ChatMessage.created_at.desc())
+            .first()
+        )
+        sessions.append(SessionItem(
+            session_id=row.session_id,
+            title=first_user_msg.content[:100] if first_user_msg and first_user_msg.content else None,
+            last_message=last_msg.content[:200] if last_msg and last_msg.content else None,
+            message_count=row.message_count,
+            created_at=row.created_at.isoformat() if row.created_at else None,
+            updated_at=row.updated_at.isoformat() if row.updated_at else None,
+        ))
+
+    return SessionListResponse(sessions=sessions)
+
+
+@router.get("/{agent_id}/sessions/{session_id}/messages", response_model=MessageHistoryResponse)
+async def get_session_messages(
+    agent_id: str,
+    session_id: str,
+    before_id: Optional[str] = None,
+    limit: int = 50,
+    current_user: User = Depends(get_current_user),
+    db: Session = Depends(get_db),
+):
+    """获取会话的消息历史（分页），从旧到新排序。"""
+    # limit 限制
+    limit = min(max(limit, 1), 200)
+
+    base_q = db.query(ChatMessage).filter(
+        ChatMessage.agent_id == agent_id,
+        ChatMessage.session_id == session_id,
+    )
+
+    # 游标分页：before_id 之前的老消息
+    if before_id:
+        cursor_msg = db.query(ChatMessage).filter(ChatMessage.id == before_id).first()
+        if cursor_msg and cursor_msg.created_at:
+            base_q = base_q.filter(ChatMessage.created_at < cursor_msg.created_at)
+
+    # 取 N+1 条，判断 has_more（按时间降序取最新 N 条，再反转）
+    batch = (
+        base_q
+        .order_by(ChatMessage.created_at.desc())
+        .limit(limit + 1)
+        .all()
+    )
+
+    has_more = len(batch) > limit
+    if has_more:
+        batch = batch[:limit]
+
+    # 反转为从旧到新
+    batch.reverse()
+
+    total = base_q.count()
+
+    messages = [
+        MessageItem(
+            id=m.id,
+            session_id=m.session_id,
+            agent_id=m.agent_id,
+            user_id=m.user_id,
+            role=m.role,
+            content=m.content,
+            tool_name=m.tool_name,
+            tool_input=m.tool_input,
+            tool_output=m.tool_output,
+            iteration=m.iteration or 0,
+            created_at=m.created_at.isoformat() if m.created_at else None,
+        )
+        for m in batch
+    ]
+
+    return MessageHistoryResponse(messages=messages, has_more=has_more, total=total)
+
+
 def _find_agent_node_config(nodes: list) -> Dict[str, Any]:
     """从工作流节点列表中查找第一个 agent 类型或 llm 类型的节点配置。"""
     if not nodes:

backend/app/core/database.py

@@ -76,4 +76,5 @@ def init_db():
     import app.models.workspace
     import app.models.scene_contract
     import app.models.team
+    import app.models.chat_message
     Base.metadata.create_all(bind=engine)

backend/app/models/__init__.py

@@ -33,5 +33,6 @@ from app.models.audit_log import AuditLog
 from app.models.workspace import Workspace, WorkspaceMembership
 from app.models.scene_contract import SceneContract
 from app.models.team import Team, TeamMember
+from app.models.chat_message import ChatMessage
 
-__all__ = ["User", "Workflow", "WorkflowVersion", "Agent", "GlobalKnowledge", "AgentRating", "AgentFavorite", "Execution", "ExecutionLog", "ModelConfig", "DataSource", "WorkflowTemplate", "TemplateRating", "TemplateFavorite", "NodeTemplate", "Role", "Permission", "WorkflowPermission", "AgentPermission", "AlertRule", "AlertLog", "PersistentUserMemory", "AgentLLMLog", "AgentVectorMemory", "AgentLearningPattern", "AgentSchedule", "KnowledgeBase", "Document", "DocumentChunk", "Notification", "UserFeishuOpenId", "NodePlugin", "OrchestrationTemplate", "Goal", "Task", "AgentExecutionLog", "UserBehaviorLog", "KnowledgeEntry", "UserFingerprint", "ShadowComparison", "FeedbackRecord", "AuditLog", "Workspace", "WorkspaceMembership", "SceneContract", "Team", "TeamMember"]
+__all__ = ["User", "Workflow", "WorkflowVersion", "Agent", "GlobalKnowledge", "AgentRating", "AgentFavorite", "Execution", "ExecutionLog", "ModelConfig", "DataSource", "WorkflowTemplate", "TemplateRating", "TemplateFavorite", "NodeTemplate", "Role", "Permission", "WorkflowPermission", "AgentPermission", "AlertRule", "AlertLog", "PersistentUserMemory", "AgentLLMLog", "AgentVectorMemory", "AgentLearningPattern", "AgentSchedule", "KnowledgeBase", "Document", "DocumentChunk", "Notification", "UserFeishuOpenId", "NodePlugin", "OrchestrationTemplate", "Goal", "Task", "AgentExecutionLog", "UserBehaviorLog", "KnowledgeEntry", "UserFingerprint", "ShadowComparison", "FeedbackRecord", "AuditLog", "Workspace", "WorkspaceMembership", "SceneContract", "Team", "TeamMember", "ChatMessage"]

backend/app/models/chat_message.py

@@ -0,0 +1,43 @@
+"""
+Chat Message 持久化模型 — 保存 Agent 会话中的每条消息
+"""
+from sqlalchemy import Column, String, Text, Integer, DateTime, ForeignKey, Index, func
+from sqlalchemy.dialects.mysql import CHAR
+from app.core.database import Base
+import uuid
+
+
+class ChatMessage(Base):
+    """聊天消息表"""
+    __tablename__ = "chat_messages"
+
+    id = Column(CHAR(36), primary_key=True, default=lambda: str(uuid.uuid4()), comment="消息ID")
+    session_id = Column(CHAR(36), nullable=False, comment="会话ID")
+    agent_id = Column(CHAR(36), ForeignKey("agents.id", ondelete="SET NULL"), nullable=True, comment="智能体ID")
+    user_id = Column(CHAR(36), ForeignKey("users.id", ondelete="SET NULL"), nullable=True, comment="用户ID")
+    role = Column(String(20), nullable=False, comment="角色: user/assistant/tool/system")
+    content = Column(Text, comment="消息内容")
+    tool_name = Column(String(100), nullable=True, comment="工具名称(仅tool消息)")
+    tool_input = Column(Text, nullable=True, comment="工具输入参数JSON(仅tool消息)")
+    tool_output = Column(Text, nullable=True, comment="工具输出结果(仅tool消息)")
+    iteration = Column(Integer, default=0, comment="Agent 迭代序号")
+    created_at = Column(DateTime, default=func.now(), comment="创建时间")
+
+    __table_args__ = (
+        Index("ix_chat_messages_session_created", "session_id", "created_at"),
+    )
+
+    def to_dict(self):
+        return {
+            "id": self.id,
+            "session_id": self.session_id,
+            "agent_id": self.agent_id,
+            "user_id": self.user_id,
+            "role": self.role,
+            "content": self.content,
+            "tool_name": self.tool_name,
+            "tool_input": self.tool_input,
+            "tool_output": self.tool_output,
+            "iteration": self.iteration,
+            "created_at": self.created_at.isoformat() if self.created_at else None,
+        }