diff --git a/.github/workflows/release-notify-wechat.yml b/.github/workflows/release-notify-wechat.yml
index bc67518b..935d84d5 100644
--- a/.github/workflows/release-notify-wechat.yml
+++ b/.github/workflows/release-notify-wechat.yml
@@ -121,6 +121,8 @@ jobs:
           AUTHOR: ${{ github.event.pull_request.user.login }}
           PR_TITLE: ${{ github.event.pull_request.title }}
           PR_URL: ${{ github.event.pull_request.html_url }}
+          PR_NUMBER: ${{ github.event.pull_request.number }}
+          MERGE_SHA: ${{ github.event.pull_request.merge_commit_sha }}
           SOURCERY_FOUND: ${{ steps.sourcery.outputs.found }}
           SOURCERY_SUMMARY: ${{ steps.sourcery.outputs.summary }}
           QWEN_SUMMARY: ${{ steps.qwen.outputs.summary }}
@@ -135,11 +137,16 @@ jobs:
               label = "AI变更摘要"
               summary = os.environ.get("QWEN_SUMMARY", "AI 摘要生成失败")
 
+          pr_number = os.environ.get("PR_NUMBER", "")
+          short_sha = os.environ.get("MERGE_SHA", "")[:7]
+
           content = (
             "## 🚀 Release 发布通知\n"
-            "> 📦 **分支**: " + os.environ["BRANCH"] + "\n"
+            "> � **分支**: " + os.environ["BRANCH"] + "\n"
             "> 👤 **提交人**: " + os.environ["AUTHOR"] + "\n"
-            "> 📝 **标题**: " + os.environ["PR_TITLE"] + "\n\n"
+            "> 📝 **标题**: " + os.environ["PR_TITLE"] + "\n"
+            "> 🔢 **PR编号**: #" + pr_number + "\n"
+            "> 🔖 **Commit**: " + short_sha + "\n\n"
             "### 🧠 " + label + "\n" +
             summary + "\n\n"
             "---\n"
diff --git a/api/app/controllers/chunk_controller.py b/api/app/controllers/chunk_controller.py
index b5c0a5ae..cc1f8c98 100644
--- a/api/app/controllers/chunk_controller.py
+++ b/api/app/controllers/chunk_controller.py
@@ -443,10 +443,10 @@ async def retrieve_chunks(
     match retrieve_data.retrieve_type:
         case chunk_schema.RetrieveType.PARTICIPLE:
             rs = vector_service.search_by_full_text(query=retrieve_data.query, top_k=retrieve_data.top_k, indices=indices, score_threshold=retrieve_data.similarity_threshold, file_names_filter=retrieve_data.file_names_filter)
-            return success(data=rs, msg="retrieval successful")
+            return success(data=jsonable_encoder(rs), msg="retrieval successful")
         case chunk_schema.RetrieveType.SEMANTIC:
             rs = vector_service.search_by_vector(query=retrieve_data.query, top_k=retrieve_data.top_k, indices=indices, score_threshold=retrieve_data.vector_similarity_weight, file_names_filter=retrieve_data.file_names_filter)
-            return success(data=rs, msg="retrieval successful")
+            return success(data=jsonable_encoder(rs), msg="retrieval successful")
         case _:
             rs1 = vector_service.search_by_vector(query=retrieve_data.query, top_k=retrieve_data.top_k, indices=indices, score_threshold=retrieve_data.vector_similarity_weight, file_names_filter=retrieve_data.file_names_filter)
             rs2 = vector_service.search_by_full_text(query=retrieve_data.query, top_k=retrieve_data.top_k, indices=indices, score_threshold=retrieve_data.similarity_threshold, file_names_filter=retrieve_data.file_names_filter)
diff --git a/api/app/controllers/ontology_controller.py b/api/app/controllers/ontology_controller.py
index 83f75888..602ee709 100644
--- a/api/app/controllers/ontology_controller.py
+++ b/api/app/controllers/ontology_controller.py
@@ -165,7 +165,7 @@ def _get_ontology_service(
             api_key=api_key_config.api_key,
             base_url=api_key_config.api_base,
             is_omni=api_key_config.is_omni,
-            support_thinking="thinking" in (api_key_config.capability or []),
+            capability=api_key_config.capability,
             max_retries=3,
             timeout=60.0
         )
diff --git a/api/app/core/agent/langchain_agent.py b/api/app/core/agent/langchain_agent.py
index ca7172e8..927eb734 100644
--- a/api/app/core/agent/langchain_agent.py
+++ b/api/app/core/agent/langchain_agent.py
@@ -41,6 +41,7 @@ class LangChainAgent:
             max_tool_consecutive_calls: int = 3,  # 单个工具最大连续调用次数
             deep_thinking: bool = False,  # 是否启用深度思考模式
             thinking_budget_tokens: Optional[int] = None,  # 深度思考 token 预算
+            json_output: bool = False,  # 是否强制 JSON 输出
             capability: Optional[List[str]] = None  # 模型能力列表，用于校验是否支持深度思考
     ):
         """初始化 LangChain Agent
@@ -64,7 +65,6 @@ class LangChainAgent:
         self.streaming = streaming
         self.is_omni = is_omni
         self.max_tool_consecutive_calls = max_tool_consecutive_calls
-        self.deep_thinking = deep_thinking and ("thinking" in (capability or []))
 
         # 工具调用计数器：记录每个工具的连续调用次数
         self.tool_call_counter: Dict[str, int] = {}
@@ -80,6 +80,12 @@ class LangChainAgent:
 
         self.system_prompt = system_prompt or "你是一个专业的AI助手"
 
+        # ChatTongyi 要求 messages 含 'json' 字样才能使用 response_format
+        # 在 system prompt 中注入 JSON 要求
+        from app.models.models_model import ModelProvider
+        if json_output and provider.lower() == ModelProvider.DASHSCOPE and not is_omni:
+            self.system_prompt += "\n请以JSON格式输出。"
+
         logger.debug(
             f"Agent 迭代次数配置: max_iterations={self.max_iterations}, "
             f"tool_count={len(self.tools)}, "
@@ -87,23 +93,17 @@ class LangChainAgent:
             f"auto_calculated={max_iterations is None}"
         )
 
-        # 根据 capability 校验是否真正支持深度思考
-        actual_deep_thinking = self.deep_thinking
-        if deep_thinking and not actual_deep_thinking:
-            logger.warning(
-                f"模型 {model_name} 不支持深度思考（capability 中无 'thinking'），已自动关闭 deep_thinking"
-            )
-
-        # 创建 RedBearLLM（支持多提供商）
+        # 创建 RedBearLLM，capability 校验由 RedBearModelConfig 统一处理
         model_config = RedBearModelConfig(
             model_name=model_name,
             provider=provider,
             api_key=api_key,
             base_url=api_base,
             is_omni=is_omni,
-            deep_thinking=actual_deep_thinking,
-            thinking_budget_tokens=thinking_budget_tokens if actual_deep_thinking else None,
-            support_thinking="thinking" in (capability or []),
+            capability=capability,
+            deep_thinking=deep_thinking,
+            thinking_budget_tokens=thinking_budget_tokens,
+            json_output=json_output,
             extra_params={
                 "temperature": temperature,
                 "max_tokens": max_tokens,
@@ -112,6 +112,9 @@ class LangChainAgent:
         )
 
         self.llm = RedBearLLM(model_config, type=ModelType.CHAT)
+        # 从经过校验的 config 读取实际生效的能力开关
+        self.deep_thinking = model_config.deep_thinking
+        self.json_output = model_config.json_output
 
         # 获取底层模型用于真正的流式调用
         self._underlying_llm = self.llm._model if hasattr(self.llm, '_model') else self.llm
diff --git a/api/app/core/models/base.py b/api/app/core/models/base.py
index 89a7dcee..7b570b47 100644
--- a/api/app/core/models/base.py
+++ b/api/app/core/models/base.py
@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 import os
-from typing import Any, Dict, Optional, TypeVar
+from typing import Any, Dict, List, Optional, TypeVar
 
 from langchain_aws import ChatBedrock
 from langchain_community.chat_models import ChatTongyi
@@ -9,12 +9,12 @@ from langchain_core.embeddings import Embeddings
 from langchain_core.language_models import BaseLLM
 from langchain_ollama import OllamaLLM
 from langchain_openai import ChatOpenAI, OpenAI
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, Field, model_validator
 
 from app.core.error_codes import BizCode
 from app.core.exceptions import BusinessException
 from app.models.models_model import ModelProvider, ModelType
-from app.core.models.volcano_chat import VolcanoChatOpenAI
+from app.core.models.compatible_chat import CompatibleChatOpenAI
 
 T = TypeVar("T")
 
@@ -25,10 +25,11 @@ class RedBearModelConfig(BaseModel):
     provider: str
     api_key: str
     base_url: Optional[str] = None
+    capability: List[str] = Field(default_factory=list)  # 模型能力列表，驱动所有能力开关
     is_omni: bool = False  # 是否为 Omni 模型
     deep_thinking: bool = False  # 是否启用深度思考模式
     thinking_budget_tokens: Optional[int] = None  # 深度思考 token 预算
-    support_thinking: bool = False  # 模型是否支持 enable_thinking 参数（capability 含 thinking）
+    json_output: bool = False  # 是否强制 JSON 输出
     # 请求超时时间（秒）- 默认120秒以支持复杂的LLM调用，可通过环境变量 LLM_TIMEOUT 配置
     timeout: float = Field(default_factory=lambda: float(os.getenv("LLM_TIMEOUT", "120.0")))
     # 最大重试次数 - 默认2次以避免过长等待，可通过环境变量 LLM_MAX_RETRIES 配置
@@ -36,6 +37,23 @@ class RedBearModelConfig(BaseModel):
     concurrency: int = 5  # 并发限流
     extra_params: Dict[str, Any] = {}
 
+    @model_validator(mode="after")
+    def _resolve_capabilities(self) -> "RedBearModelConfig":
+        from app.core.logging_config import get_business_logger
+        logger = get_business_logger()
+        if self.deep_thinking and "thinking" not in self.capability:
+            logger.warning(
+                f"模型 {self.model_name} 不支持深度思考（capability 中无 'thinking'），已自动关闭 deep_thinking"
+            )
+            self.deep_thinking = False
+            self.thinking_budget_tokens = None
+        if self.json_output and "json_output" not in self.capability:
+            logger.warning(
+                f"模型 {self.model_name} 不支持 JSON 输出（capability 中无 'json_output'），已自动关闭 json_output"
+            )
+            self.json_output = False
+        return self
+
 
 class RedBearModelFactory:
     """模型工厂类"""
@@ -74,17 +92,20 @@ class RedBearModelFactory:
             is_streaming = bool(config.extra_params.get("streaming"))
             if is_streaming:
                 params["stream_usage"] = True
-            # 只有支持 thinking 的模型才传 enable_thinking
-            if config.support_thinking:
-                model_kwargs: Dict[str, Any] = config.extra_params.get("model_kwargs", {})
-                if is_streaming:
-                    model_kwargs["enable_thinking"] = config.deep_thinking
-                    if config.deep_thinking:
-                        model_kwargs["incremental_output"] = True
-                        if config.thinking_budget_tokens:
-                            model_kwargs["thinking_budget"] = config.thinking_budget_tokens
-                else:
-                    model_kwargs["enable_thinking"] = False
+            # 支持 thinking 的模型始终传 enable_thinking，关闭时显式传 False 避免模型默认开启思考
+            if "thinking" in config.capability:
+                extra_body = params.setdefault("extra_body", {})
+                if config.deep_thinking:
+                    extra_body["enable_thinking"] = False
+                    if is_streaming:
+                        extra_body["enable_thinking"] = True
+                    if config.thinking_budget_tokens:
+                        extra_body["thinking_budget"] = config.thinking_budget_tokens
+                params["extra_body"] = extra_body
+            # JSON 输出模式
+            if config.json_output:
+                model_kwargs = params.setdefault("model_kwargs", {})
+                model_kwargs["response_format"] = {"type": "json_object"}
                 params["model_kwargs"] = model_kwargs
             return params
 
@@ -108,27 +129,30 @@ class RedBearModelFactory:
                 **config.extra_params
             }
             # 流式模式下启用 stream_usage 以获取 token 统计
-            if config.extra_params.get("streaming"):
-                params["stream_usage"] = True
-            # 深度思考模式
             is_streaming = bool(config.extra_params.get("streaming"))
-            if config.support_thinking:
-                if is_streaming and not config.is_omni:
-                    if provider == ModelProvider.VOLCANO:
-                        # 火山引擎深度思考仅流式调用支持，非流式时不传 thinking 参数
-                        thinking_config: Dict[str, Any] = {
-                            "type": "enabled" if config.deep_thinking else "disabled"
-                        }
-                        if config.deep_thinking and config.thinking_budget_tokens:
-                            thinking_config["budget_tokens"] = config.thinking_budget_tokens
-                        params["extra_body"] = {"thinking": thinking_config}
-                    else:
-                        # 始终显式传递 enable_thinking，不支持该参数的模型（如 DeepSeek-R1）会直接忽略
-                        model_kwargs: Dict[str, Any] = config.extra_params.get("model_kwargs", {})
-                        model_kwargs["enable_thinking"] = config.deep_thinking
-                        if config.deep_thinking and config.thinking_budget_tokens:
-                            model_kwargs["thinking_budget"] = config.thinking_budget_tokens
-                        params["model_kwargs"] = model_kwargs
+            if is_streaming:
+                params["stream_usage"] = True
+            # 支持 thinking 的模型始终传 enable_thinking，关闭时显式传 False 避免模型默认开启思考
+            if "thinking" in config.capability:
+                # VOLCANO 深度思考仅流式支持
+                if provider == ModelProvider.VOLCANO:
+                    thinking_config: Dict[str, Any] = {"type": "enabled" if config.deep_thinking else "disabled"}
+                    if config.deep_thinking and config.thinking_budget_tokens:
+                        thinking_config["budget_tokens"] = config.thinking_budget_tokens
+                    params["extra_body"] = {"thinking": thinking_config}
+                else:
+                    extra_body = params.setdefault("extra_body", {})
+                    if config.deep_thinking:
+                        extra_body["enable_thinking"] = False
+                        if is_streaming:
+                            extra_body["enable_thinking"] = True
+                        if config.thinking_budget_tokens:
+                            extra_body["thinking_budget"] = config.thinking_budget_tokens
+                    params["extra_body"] = extra_body
+            # JSON 输出模式
+            if config.json_output:
+                params.setdefault("model_kwargs", {})
+                params["model_kwargs"]["response_format"] = {"type": "json_object"}
             return params
         elif provider == ModelProvider.DASHSCOPE:
             params = {
@@ -137,18 +161,21 @@ class RedBearModelFactory:
                 "max_retries": config.max_retries,
                 **config.extra_params
             }
-            # 只有支持 thinking 的模型才传 enable_thinking
-            if config.support_thinking:
+            # 支持 thinking 的模型始终传 enable_thinking，关闭时显式传 False 避免模型默认开启思考
+            if "thinking" in config.capability:
                 is_streaming = bool(config.extra_params.get("streaming"))
-                model_kwargs: Dict[str, Any] = config.extra_params.get("model_kwargs", {})
-                if is_streaming:
-                    model_kwargs["enable_thinking"] = config.deep_thinking
-                    if config.deep_thinking:
-                        model_kwargs["incremental_output"] = True
-                        if config.thinking_budget_tokens:
-                            model_kwargs["thinking_budget"] = config.thinking_budget_tokens
-                else:
+                model_kwargs = params.setdefault("model_kwargs", {})
+                if config.deep_thinking:
                     model_kwargs["enable_thinking"] = False
+                    if is_streaming:
+                        model_kwargs["enable_thinking"] = True
+                        model_kwargs["incremental_output"] = True
+                    if config.thinking_budget_tokens:
+                        model_kwargs["thinking_budget"] = config.thinking_budget_tokens
+                params["model_kwargs"] = model_kwargs
+            if config.json_output:
+                model_kwargs = params.setdefault("model_kwargs", {})
+                model_kwargs["response_format"] = {"type": "json_object"}
                 params["model_kwargs"] = model_kwargs
             return params
         elif provider == ModelProvider.BEDROCK:
@@ -196,6 +223,10 @@ class RedBearModelFactory:
                 params["additional_model_request_fields"] = {
                     "thinking": {"type": "enabled", "budget_tokens": budget}
                 }
+            # JSON 输出模式
+            if config.json_output:
+                params.setdefault("model_kwargs", {})
+                params["model_kwargs"]["response_format"] = {"type": "json_object"}
             return params
         else:
             raise BusinessException(f"不支持的提供商: {provider}", code=BizCode.PROVIDER_NOT_SUPPORTED)
@@ -224,11 +255,11 @@ def get_provider_llm_class(config: RedBearModelConfig, type: ModelType = ModelTy
     """根据模型提供商获取对应的模型类"""
     provider = config.provider.lower()
 
-    # dashscope 的 omni 模型使用 OpenAI 兼容模式
+    # dashscope的omni模型 和 volcano模型使用
     if provider == ModelProvider.DASHSCOPE and config.is_omni:
-        return ChatOpenAI
+        return CompatibleChatOpenAI
     if provider == ModelProvider.VOLCANO:
-        return VolcanoChatOpenAI
+        return CompatibleChatOpenAI
     if provider in [ModelProvider.OPENAI, ModelProvider.XINFERENCE, ModelProvider.GPUSTACK]:
         if type == ModelType.LLM:
             return OpenAI
diff --git a/api/app/core/models/volcano_chat.py b/api/app/core/models/compatible_chat.py
similarity index 92%
rename from api/app/core/models/volcano_chat.py
rename to api/app/core/models/compatible_chat.py
index d9a51d13..114a3567 100644
--- a/api/app/core/models/volcano_chat.py
+++ b/api/app/core/models/compatible_chat.py
@@ -12,8 +12,8 @@ from langchain_core.outputs import ChatGenerationChunk, ChatResult
 from langchain_openai import ChatOpenAI
 
 
-class VolcanoChatOpenAI(ChatOpenAI):
-    """火山引擎 Chat 模型，支持深度思考内容（reasoning_content）的流式和非流式透传。"""
+class CompatibleChatOpenAI(ChatOpenAI):
+    """火山和千问的omni兼容模型，支持深度思考内容（reasoning_content）的流式和非流式透传。"""
 
     def _create_chat_result(self, response: Union[dict, Any], generation_info: Optional[dict] = None) -> ChatResult:
         result = super()._create_chat_result(response, generation_info)
diff --git a/api/app/core/models/scripts/bedrock_models.yaml b/api/app/core/models/scripts/bedrock_models.yaml
index 5b3a2f64..f96dba15 100644
--- a/api/app/core/models/scripts/bedrock_models.yaml
+++ b/api/app/core/models/scripts/bedrock_models.yaml
@@ -6,7 +6,8 @@ models:
   description: AI21 Labs大语言模型，completion生成模式，256000上下文窗口
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -20,6 +21,7 @@ models:
   is_official: true
   capability:
     - vision
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -38,6 +40,7 @@ models:
   capability:
     - vision
     - thinking
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -54,7 +57,8 @@ models:
   description: Cohere大语言模型，支持智能体思考、工具调用、流式工具调用，128000上下文窗口，对话模式
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -72,6 +76,7 @@ models:
   capability:
     - vision
     - thinking
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -87,7 +92,8 @@ models:
   description: Meta Llama大语言模型，支持智能体思考、工具调用，128000上下文窗口，对话模式
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -101,7 +107,8 @@ models:
   description: Mistral AI大语言模型，支持智能体思考、工具调用，32000上下文窗口，对话模式
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -115,7 +122,8 @@ models:
   description: OpenAI大语言模型，支持智能体思考、工具调用、流式工具调用，32768上下文窗口，对话模式
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -130,7 +138,8 @@ models:
   description: Qwen大语言模型，支持智能体思考、工具调用、流式工具调用，32768上下文窗口，对话模式
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
diff --git a/api/app/core/models/scripts/dashscope_models.yaml b/api/app/core/models/scripts/dashscope_models.yaml
index d9e6a00f..9b45f107 100644
--- a/api/app/core/models/scripts/dashscope_models.yaml
+++ b/api/app/core/models/scripts/dashscope_models.yaml
@@ -8,6 +8,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -22,6 +23,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -36,6 +38,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -48,7 +51,8 @@ models:
   description: DeepSeek-V3.1大语言模型，支持智能体思考，131072超大上下文窗口，对话模式，支持丰富生成参数调节
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -61,7 +65,8 @@ models:
   description: DeepSeek-V3.2-exp实验版大语言模型，支持智能体思考，131072超大上下文窗口，对话模式，支持丰富生成参数调节
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -74,7 +79,8 @@ models:
   description: DeepSeek-V3.2大语言模型，支持智能体思考，131072超大上下文窗口，对话模式，支持丰富生成参数调节
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -87,7 +93,8 @@ models:
   description: DeepSeek-V3大语言模型，支持智能体思考，64000上下文窗口，对话模式，支持文本与JSON格式输出
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -100,7 +107,8 @@ models:
   description: farui-plus大语言模型，支持多工具调用、智能体思考、流式工具调用，12288上下文窗口，对话模式
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -115,7 +123,8 @@ models:
   description: GLM-4.7大语言模型，支持多工具调用、智能体思考、流式工具调用，202752超大上下文窗口，对话模式
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -133,6 +142,7 @@ models:
   capability:
   - vision
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -150,6 +160,7 @@ models:
   capability:
   - vision
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -180,6 +191,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -210,7 +222,7 @@ models:
   is_deprecated: false
   is_official: true
   capability:
-  - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -376,6 +388,7 @@ models:
   capability:
   - vision
   - video
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -448,6 +461,7 @@ models:
   capability:
   - vision
   - video
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -466,6 +480,7 @@ models:
   capability:
   - vision
   - video
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -481,7 +496,8 @@ models:
   description: qwen2.5-0.5b-instruct大语言模型，支持多工具调用、智能体思考、流式工具调用，32768上下文窗口，对话模式，未废弃
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -498,6 +514,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -513,7 +530,7 @@ models:
   is_deprecated: false
   is_official: true
   capability:
-  - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -530,6 +547,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -546,6 +564,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -561,7 +580,7 @@ models:
   is_deprecated: false
   is_official: true
   capability:
-  - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -578,6 +597,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -594,6 +614,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -610,6 +631,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -626,6 +648,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -641,7 +664,7 @@ models:
   is_deprecated: false
   is_official: true
   capability:
-  - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -656,7 +679,7 @@ models:
   is_deprecated: false
   is_official: true
   capability:
-  - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -672,6 +695,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -687,6 +711,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -702,6 +727,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -719,6 +745,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -736,6 +763,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -752,6 +780,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -768,7 +797,7 @@ models:
   is_deprecated: false
   is_official: true
   capability:
-  - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -785,6 +814,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -803,6 +833,8 @@ models:
   - vision
   - video
   - audio
+  - thinking
+  - json_output
   is_omni: true
   tags:
   - 大语言模型
@@ -822,7 +854,7 @@ models:
   capability:
   - vision
   - video
-  - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -844,6 +876,7 @@ models:
   - vision
   - video
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -864,7 +897,7 @@ models:
   capability:
   - vision
   - video
-  - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -886,6 +919,7 @@ models:
   - vision
   - video
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -907,6 +941,7 @@ models:
   - vision
   - video
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -928,6 +963,7 @@ models:
   - vision
   - video
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -947,6 +983,7 @@ models:
   - vision
   - video
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -964,6 +1001,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -979,6 +1017,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -994,6 +1033,7 @@ models:
   is_official: true
   capability:
   - thinking
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
diff --git a/api/app/core/models/scripts/openai_models.yaml b/api/app/core/models/scripts/openai_models.yaml
index 08b81008..1c0a0b2d 100644
--- a/api/app/core/models/scripts/openai_models.yaml
+++ b/api/app/core/models/scripts/openai_models.yaml
@@ -10,6 +10,7 @@ models:
     - vision
     - audio
     - video
+    - json_output
   is_omni: true
   tags:
   - 大语言模型
@@ -27,7 +28,8 @@ models:
   description: gpt-3.5-turbo-0125大语言模型，支持多工具调用、智能体思考、流式工具调用，16385上下文窗口，对话模式
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -42,7 +44,8 @@ models:
   description: gpt-3.5-turbo-1106大语言模型，支持多工具调用、智能体思考、流式工具调用，16385上下文窗口，对话模式
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -57,7 +60,8 @@ models:
   description: gpt-3.5-turbo-16k大语言模型，支持多工具调用、智能体思考、流式工具调用，16385上下文窗口，对话模式
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -84,7 +88,8 @@ models:
   description: gpt-3.5-turbo大语言模型，支持多工具调用、智能体思考、流式工具调用，16385上下文窗口，对话模式
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -99,7 +104,8 @@ models:
   description: gpt-4-0125-preview大语言模型，支持多工具调用、智能体思考、流式工具调用，128000上下文窗口，对话模式
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -114,7 +120,8 @@ models:
   description: gpt-4-1106-preview大语言模型，支持多工具调用、智能体思考、流式工具调用，128000上下文窗口，对话模式
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -131,6 +138,7 @@ models:
   is_official: true
   capability:
     - vision
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -146,7 +154,8 @@ models:
   description: gpt-4-turbo-preview大语言模型，支持多工具调用、智能体思考、流式工具调用，128000上下文窗口，对话模式
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -163,6 +172,7 @@ models:
   is_official: true
   capability:
     - vision
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -194,6 +204,7 @@ models:
   capability:
     - vision
     - thinking
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -213,6 +224,7 @@ models:
   capability:
     - vision
     - thinking
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -231,6 +243,7 @@ models:
   is_official: true
   capability:
     - thinking
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -248,6 +261,7 @@ models:
   is_official: true
   capability:
     - thinking
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -266,6 +280,7 @@ models:
   capability:
     - vision
     - thinking
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -284,6 +299,7 @@ models:
   capability:
     - vision
     - thinking
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -302,6 +318,7 @@ models:
   capability:
     - vision
     - thinking
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -321,6 +338,7 @@ models:
   capability:
     - vision
     - thinking
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -340,6 +358,7 @@ models:
   capability:
     - vision
     - thinking
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
diff --git a/api/app/core/models/scripts/volcano_models.yaml b/api/app/core/models/scripts/volcano_models.yaml
index c86d41ac..6658c2f9 100644
--- a/api/app/core/models/scripts/volcano_models.yaml
+++ b/api/app/core/models/scripts/volcano_models.yaml
@@ -11,6 +11,7 @@ models:
     - vision
     - video
     - thinking
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -26,6 +27,7 @@ models:
     - vision
     - video
     - thinking
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -41,6 +43,7 @@ models:
     - vision
     - video
     - thinking
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -56,6 +59,7 @@ models:
     - vision
     - video
     - thinking
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -72,6 +76,7 @@ models:
   capability:
     - vision
     - video
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -87,6 +92,7 @@ models:
     - vision
     - video
     - thinking
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -102,6 +108,7 @@ models:
     - vision
     - video
     - thinking
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -117,6 +124,7 @@ models:
     - vision
     - video
     - thinking
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -132,6 +140,7 @@ models:
     - vision
     - video
     - thinking
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -148,6 +157,7 @@ models:
     - vision
     - video
     - thinking
+    - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -175,7 +185,8 @@ models:
   description: 全新一代主力模型，性能全面升级，在知识、代码、推理等方面表现卓越。最大支持 128k 上下文窗口，输出长度支持最大 12k tokens。
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
@@ -187,7 +198,8 @@ models:
   description: 全新一代轻量版模型，极致响应速度，效果与时延均达到全球一流水平。支持 32k 上下文窗口，输出长度支持最大 12k tokens。
   is_deprecated: false
   is_official: true
-  capability: []
+  capability:
+  - json_output
   is_omni: false
   tags:
   - 大语言模型
diff --git a/api/app/core/workflow/nodes/llm/config.py b/api/app/core/workflow/nodes/llm/config.py
index 771262c1..b815c80f 100644
--- a/api/app/core/workflow/nodes/llm/config.py
+++ b/api/app/core/workflow/nodes/llm/config.py
@@ -116,6 +116,11 @@ class LLMNodeConfig(BaseNodeConfig):
         description="Top-p 采样参数"
     )
 
+    json_output: bool = Field(
+        default=False,
+        description="是否以 JSON 格式输出"
+    )
+
     frequency_penalty: float | None = Field(
         default=None,
         ge=-2.0,
diff --git a/api/app/core/workflow/nodes/llm/node.py b/api/app/core/workflow/nodes/llm/node.py
index bb87c845..664a28fa 100644
--- a/api/app/core/workflow/nodes/llm/node.py
+++ b/api/app/core/workflow/nodes/llm/node.py
@@ -22,6 +22,7 @@ from app.db import get_db_context
 from app.models import ModelType
 from app.schemas.model_schema import ModelInfo
 from app.services.model_service import ModelConfigService
+from app.models.models_model import ModelProvider
 
 logger = logging.getLogger(__name__)
 
@@ -126,7 +127,11 @@ class LLMNode(BaseNode):
 
         # 4. 创建 LLM 实例（使用已提取的数据）
         # 注意：对于流式输出，需要在模型初始化时设置 streaming=True
-        extra_params = {"streaming": stream} if stream else {}
+        extra_params: dict[str, Any] = {"streaming": stream} if stream else {}
+        if self.typed_config.temperature is not None:
+            extra_params["temperature"] = self.typed_config.temperature
+        if self.typed_config.max_tokens is not None:
+            extra_params["max_tokens"] = self.typed_config.max_tokens
 
         llm = RedBearLLM(
             RedBearModelConfig(
@@ -135,7 +140,9 @@ class LLMNode(BaseNode):
                 api_key=model_info.api_key,
                 base_url=model_info.api_base,
                 extra_params=extra_params,
-                is_omni=model_info.is_omni
+                is_omni=model_info.is_omni,
+                capability=model_info.capability,
+                json_output=self.typed_config.json_output,
             ),
             type=model_info.model_type
         )
@@ -218,6 +225,16 @@ class LLMNode(BaseNode):
             rendered = self._render_template(prompt_template, variable_pool)
             self.messages = [{"role": "user", "content": rendered}]
 
+        # ChatTongyi 要求 messages 含 'json' 字样才能使用 response_format，在 system prompt 中注入
+        if (self.typed_config.json_output
+                and model_info.provider.lower() == ModelProvider.DASHSCOPE
+                and not model_info.is_omni):
+            system_msg = next((m for m in self.messages if m["role"] == "system"), None)
+            if system_msg:
+                system_msg["content"] += "\n请以JSON格式输出。"
+            else:
+                self.messages.insert(0, {"role": "system", "content": "请以JSON格式输出。"})
+
         return llm
 
     async def execute(self, state: WorkflowState, variable_pool: VariablePool) -> AIMessage:
diff --git a/api/app/schemas/app_schema.py b/api/app/schemas/app_schema.py
index 1ed98f68..e93c513d 100644
--- a/api/app/schemas/app_schema.py
+++ b/api/app/schemas/app_schema.py
@@ -245,6 +245,7 @@ class ModelParameters(BaseModel):
     stop: Optional[List[str]] = Field(default=None, description="停止序列")
     deep_thinking: bool = Field(default=False, description="是否启用深度思考模式（需模型支持，如 DeepSeek-R1、QwQ 等）")
     thinking_budget_tokens: Optional[int] = Field(default=None, ge=1024, le=131072, description="深度思考 token 预算（仅部分模型支持）")
+    json_output: bool = Field(default=False, description="是否强制 JSON 格式输出（需模型支持 json_output 能力）")
 
 
 class VariableDefinition(BaseModel):
diff --git a/api/app/services/app_chat_service.py b/api/app/services/app_chat_service.py
index 2d10ed44..56e25713 100644
--- a/api/app/services/app_chat_service.py
+++ b/api/app/services/app_chat_service.py
@@ -120,6 +120,7 @@ class AppChatService:
             tools=tools,
             deep_thinking=model_parameters.get("deep_thinking", False),
             thinking_budget_tokens=model_parameters.get("thinking_budget_tokens"),
+            json_output=model_parameters.get("json_output", False),
             capability=api_key_obj.capability or [],
         )
 
@@ -392,6 +393,7 @@ class AppChatService:
                 streaming=True,
                 deep_thinking=model_parameters.get("deep_thinking", False),
                 thinking_budget_tokens=model_parameters.get("thinking_budget_tokens"),
+                json_output=model_parameters.get("json_output", False),
                 capability=api_key_obj.capability or [],
             )
 
diff --git a/api/app/services/conversation_service.py b/api/app/services/conversation_service.py
index 6e9f3544..61744ec7 100644
--- a/api/app/services/conversation_service.py
+++ b/api/app/services/conversation_service.py
@@ -544,7 +544,7 @@ class ConversationService:
                 api_key=api_key,
                 base_url=api_base,
                 is_omni=is_omni,
-                support_thinking="thinking" in (capability or []),
+                capability=capability,
             ),
             type=ModelType(model_type)
         )
diff --git a/api/app/services/draft_run_service.py b/api/app/services/draft_run_service.py
index b47bd4cd..81457a08 100644
--- a/api/app/services/draft_run_service.py
+++ b/api/app/services/draft_run_service.py
@@ -597,6 +597,7 @@ class AgentRunService:
                 tools=tools,
                 deep_thinking=effective_params.get("deep_thinking", False),
                 thinking_budget_tokens=effective_params.get("thinking_budget_tokens"),
+                json_output=effective_params.get("json_output", False),
                 capability=api_key_config.get("capability", []),
             )
 
@@ -853,6 +854,7 @@ class AgentRunService:
                 streaming=True,
                 deep_thinking=effective_params.get("deep_thinking", False),
                 thinking_budget_tokens=effective_params.get("thinking_budget_tokens"),
+                json_output=effective_params.get("json_output", False),
                 capability=api_key_config.get("capability", []),
             )
 
diff --git a/api/app/services/llm_router.py b/api/app/services/llm_router.py
index 7087415e..bd90eee9 100644
--- a/api/app/services/llm_router.py
+++ b/api/app/services/llm_router.py
@@ -415,9 +415,11 @@ class LLMRouter:
                 api_key=api_key_config.api_key,
                 base_url=api_key_config.api_base,
                 is_omni=api_key_config.is_omni,
-                support_thinking="thinking" in (api_key_config.capability or []),
-                temperature=0.3,
-                max_tokens=500
+                capability=api_key_config.capability,
+                extra_params={
+                    "temperature": 0.3,
+                    "max_tokens": 500
+                }
             )
             
             logger.debug(f"创建 LLM 实例 - Provider: {api_key_config.provider}, Model: {api_key_config.model_name}")
diff --git a/api/app/services/master_agent_router.py b/api/app/services/master_agent_router.py
index 206443bd..dfb3c2da 100644
--- a/api/app/services/master_agent_router.py
+++ b/api/app/services/master_agent_router.py
@@ -393,7 +393,7 @@ class MasterAgentRouter:
                 api_key=api_key_config.api_key,
                 base_url=api_key_config.api_base,
                 is_omni=api_key_config.is_omni,
-                support_thinking="thinking" in (api_key_config.capability or []),
+                capability=api_key_config.capability,
                 extra_params = extra_params
             )
 
diff --git a/api/app/services/memory_perceptual_service.py b/api/app/services/memory_perceptual_service.py
index 7d6d1092..8fa9c9bf 100644
--- a/api/app/services/memory_perceptual_service.py
+++ b/api/app/services/memory_perceptual_service.py
@@ -233,7 +233,7 @@ class MemoryPerceptualService:
                     api_key=model_config.api_key,
                     base_url=model_config.api_base,
                     is_omni=model_config.is_omni,
-                    support_thinking="thinking" in (model_config.capability or []),
+                    capability=model_config.capability,
                 )
             )
         return llm, model_config
diff --git a/api/app/services/model_parameter_merger.py b/api/app/services/model_parameter_merger.py
index 4be83851..6911a9d5 100644
--- a/api/app/services/model_parameter_merger.py
+++ b/api/app/services/model_parameter_merger.py
@@ -47,7 +47,8 @@ class ModelParameterMerger:
             "n": 1,
             "stop": None,
             "deep_thinking": False,
-            "thinking_budget_tokens": None
+            "thinking_budget_tokens": None,
+            "json_output": False
         }
         
         # 合并参数：默认值 -> 模型配置 -> Agent 配置
diff --git a/api/app/services/model_service.py b/api/app/services/model_service.py
index d202b83a..8807020b 100644
--- a/api/app/services/model_service.py
+++ b/api/app/services/model_service.py
@@ -125,9 +125,11 @@ class ModelConfigService:
                 api_key=api_key,
                 base_url=api_base,
                 is_omni=is_omni,
-                support_thinking="thinking" in (capability or []),
-                temperature=0.7,
-                max_tokens=100
+                capability=capability,
+                extra_params={
+                    "temperature": 0.7,
+                    "max_tokens": 100
+                }
             )
 
             # 根据模型类型选择不同的验证方式
diff --git a/api/app/services/multi_agent_orchestrator.py b/api/app/services/multi_agent_orchestrator.py
index 216aeb6e..d30dc822 100644
--- a/api/app/services/multi_agent_orchestrator.py
+++ b/api/app/services/multi_agent_orchestrator.py
@@ -2616,9 +2616,11 @@ class MultiAgentOrchestrator:
                 api_key=api_key_config.api_key,
                 base_url=api_key_config.api_base,
                 is_omni=api_key_config.is_omni,
-                support_thinking="thinking" in (api_key_config.capability or []),
-                temperature=0.7,  # 整合任务使用中等温度
-                max_tokens=2000
+                capability=api_key_config.capability,
+                extra_params={
+                    "temperature": 0.7,   # 整合任务使用中等温度
+                    "max_tokens": 2000
+                }
             )
 
             # 创建 LLM 实例
@@ -2795,10 +2797,12 @@ class MultiAgentOrchestrator:
                 api_key=api_key_config.api_key,
                 base_url=api_key_config.api_base,
                 is_omni=api_key_config.is_omni,
-                support_thinking="thinking" in (api_key_config.capability or []),
-                temperature=0.7,
-                max_tokens=2000,
-                extra_params={"streaming": True}  # 启用流式输出
+                capability=api_key_config.capability,
+                extra_params={
+                    "temperature": 0.7,
+                    "max_tokens": 2000,
+                    "streaming": True   # 启用流式输出
+                }
             )
 
             # 创建 LLM 实例
diff --git a/api/app/services/prompt_optimizer_service.py b/api/app/services/prompt_optimizer_service.py
index 30901111..1686a164 100644
--- a/api/app/services/prompt_optimizer_service.py
+++ b/api/app/services/prompt_optimizer_service.py
@@ -186,7 +186,7 @@ class PromptOptimizerService:
             api_key=api_config.api_key,
             base_url=api_config.api_base,
             is_omni=api_config.is_omni,
-            support_thinking="thinking" in (api_config.capability or []),
+            capability=api_config.capability,
         ), type=ModelType(model_config.type))
         try:
             prompt_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'prompt')
diff --git a/api/app/services/shared_chat_service.py b/api/app/services/shared_chat_service.py
index b1e40a2d..37956d77 100644
--- a/api/app/services/shared_chat_service.py
+++ b/api/app/services/shared_chat_service.py
@@ -250,7 +250,8 @@ class SharedChatService:
             tools=tools,
             deep_thinking=model_parameters.get("deep_thinking", False),
             thinking_budget_tokens=model_parameters.get("thinking_budget_tokens"),
-            capability=api_key_obj.capability or [],
+            json_output=model_parameters.get("json_output", False),
+            capability=api_key_obj.capability,
         )
 
         # 加载历史消息
@@ -455,6 +456,7 @@ class SharedChatService:
                 streaming=True,
                 deep_thinking=model_parameters.get("deep_thinking", False),
                 thinking_budget_tokens=model_parameters.get("thinking_budget_tokens"),
+                json_output=model_parameters.get("json_output", False),
                 capability=api_key_obj.capability or [],
             )
 
diff --git a/api/app/version_info.json b/api/app/version_info.json
index d07035e2..a094b64c 100644
--- a/api/app/version_info.json
+++ b/api/app/version_info.json
@@ -1,4 +1,40 @@
 {
+  "v0.3.0": {
+    "introduction": {
+      "codeName": "破晓",
+      "releaseDate": "2026-4-15",
+      "upgradePosition": "🐻 全面升级应用工作流、记忆智能与系统稳健性，引入版本化API、多模态记忆感知及大量工作流增强，打造更可靠、精准的 MemoryBear",
+      "coreUpgrades": [
+        "1. 应用与API增强<br>* 版本化API调用支持：对外服务API支持指定版本调用<br>* 工作流检查清单：新增结构化验证步骤<br>* 深度思考参数精准控制：仅向支持深度推理的模型发送思考参数<br>* 提示器模型返回优化：优化提示器模型响应处理",
+        "2. 记忆智能 🧠<br>* 多模态记忆感知Agent：支持多模态记忆读取与写入<br>* OpenClaw内置工具：新增内置工具扩展Agent工具集",
+        "3. 用户体验 🎨<br>* 流式渲染稳定性优化：解决LLM流式输出页面抖动问题<br>* 记忆中枢更名：「记忆相关」更名为「记忆中枢」",
+        "4. 工作流改进 ⚙️<br>* 三级变量模板转换：支持三级变量解析<br>* VL模型Token统计：修复模型组合中VL模型Token未统计问题<br>* 导入工作流功能特性同步：正确同步开场白、引用等属性<br>* 会话变量名称唯一性校验：防止变量名冲突<br>* 文件类型提取修复：正确提取file.type信息<br>* 条件分支显示修复：值为0或会话变量时正确渲染<br>* Object/Array校验规则：防止JSON序列化错误<br>* HTTP请求Body字段修正：body字段从name改为key",
+        "5. 知识库 📚<br>* Embedding Token截断安全边界：统一添加8000 token截断，优化Excel独立chunk处理",
+        "6. 稳健性与缺陷修复 🔧<br>* 原子性更新与批量访问失败修复<br>* 对话别名提取错误修复<br>* 工作流别名提取修正（区分用户和AI回复）<br>* RAG记忆分页数据修复<br>* 隐式记忆详情显示修复<br>* 向量查询驱动关闭异常修复<br>* 用户管理启停异常修复<br>* 模型列表筛选不一致修复",
+        "<br>",
+        "v0.3.0 标志着 MemoryBear 向生产成熟度迈出坚实一步。后续版本将持续深化工作流表达力、记忆检索精度和跨模态理解能力，强化复杂Agent编排支持，稳固大规模生产部署基础。",
+        "<br>",
+        "MemoryBear — 破晓 🐻✨"
+      ]
+    },
+    "introduction_en": {
+      "codeName": "PoXiao",
+      "releaseDate": "2026-4-15",
+      "upgradePosition": "🐻 Comprehensive upgrades across application workflows, memory intelligence, and system robustness — introducing versioned APIs, multimodal memory perception, and extensive workflow enhancements for a more reliable MemoryBear",
+      "coreUpgrades": [
+        "1. Application & API Enhancements<br>* Versioned API Support: External APIs now support version-specific calls<br>* Workflow Checklist: Structured validation steps before deployment<br>* Deep Thinking Parameter Control: Only send thinking params to supported models<br>* Prompt Optimizer Return Optimization: Improved prompt optimizer response handling",
+        "2. Memory Intelligence 🧠<br>* Multimodal Memory Perception Agent: Read/write multimodal memory<br>* OpenClaw Built-in Tool: New built-in tool for agent operations",
+        "3. User Experience 🎨<br>* Streaming Render Stabilization: Eliminated page jitter during LLM output<br>* Memory Hub Renaming: Renamed to better reflect central memory role",
+        "4. Workflow Improvements ⚙️<br>* Three-Level Variable Template Conversion: Support for three-level variable resolution<br>* VL Model Token Tracking: Fixed token tracking for VL models in model groups<br>* Imported Workflow Feature Sync: Properly sync opening messages, citations, etc.<br>* Session Variable Name Uniqueness: Prevent variable name conflicts<br>* File Type Extraction Fix: Correctly extract file.type information<br>* Condition Branch Display Fix: Correct rendering for value 0 or session variables<br>* Object/Array Validation Rules: Prevent JSON serialization save errors<br>* HTTP Request Body Key Fix: Body field uses key instead of name",
+        "5. Knowledge Base 📚<br>* Embedding Token Truncation Safety: Unified 8000-token boundary, optimized Excel chunk processing",
+        "6. Robustness & Bug Fixes 🔧<br>* Atomic update & batch access failure fixes<br>* Conversation alias extraction fix<br>* Workflow alias extraction correction (user vs AI distinction)<br>* RAG memory pagination fix<br>* Implicit memory detail display fix<br>* Vector query driver closed exception fix<br>* User management enable/disable fix<br>* Model list filter inconsistency fix",
+        "<br>",
+        "v0.3.0 marks a meaningful step toward production maturity for MemoryBear. Upcoming releases will deepen workflow expressiveness, memory retrieval precision, and cross-modal understanding while strengthening complex agent orchestration and large-scale deployment foundations.",
+        "<br>",
+        "MemoryBear — Daybreak 🐻✨"
+      ]
+    }
+  },
   "v0.2.10": {
     "introduction": {
       "codeName": "炼剑",
diff --git a/web/src/components/ModelSelect/index.tsx b/web/src/components/ModelSelect/index.tsx
index 8f9152fb..85977376 100644
--- a/web/src/components/ModelSelect/index.tsx
+++ b/web/src/components/ModelSelect/index.tsx
@@ -2,9 +2,9 @@
  * @Author: ZhaoYing 
  * @Date: 2026-03-07 16:49:59 
  * @Last Modified by: ZhaoYing
- * @Last Modified time: 2026-03-25 11:21:59
+ * @Last Modified time: 2026-04-17 10:11:54
  */
-import { useEffect, useState, type FC } from 'react';
+import { type FC, useEffect, useState } from 'react';
 import { Select, Flex, Space } from 'antd';
 import type { SelectProps } from 'antd/es/select';
 import { useTranslation } from 'react-i18next';
@@ -22,16 +22,10 @@ interface ModelSelectProps extends SelectProps {
   fontClassName?: string;
   isAutoFetch?: boolean;
   initialData?: Model[];
+  updateOptions?: (options: Model[]) => void;
 }
 
-const ModelSelect: FC<ModelSelectProps> = ({
-  params,
-  placeholder,
-  fontClassName,
-  isAutoFetch = true,
-  initialData = [],
-  ...props
-}) => {
+const ModelSelect: FC<ModelSelectProps> = ({ params, placeholder, fontClassName, isAutoFetch = true, initialData = [], updateOptions, ...props }) => {
   const { t } = useTranslation();
   const [options, setOptions] = useState<Model[]>([]);
 
@@ -60,6 +54,10 @@ const ModelSelect: FC<ModelSelectProps> = ({
     );
   };
 
+  useEffect(() => {
+    if (updateOptions) updateOptions([...options, ...initialData]);
+  }, [options, initialData])
+
   return (
     <Select
       placeholder={placeholder ?? t('common.pleaseSelect')}
diff --git a/web/src/i18n/en.ts b/web/src/i18n/en.ts
index 394606a3..d65e4436 100644
--- a/web/src/i18n/en.ts
+++ b/web/src/i18n/en.ts
@@ -629,6 +629,7 @@ export const en = {
       video: 'Video',
       thinking: 'Deep Thinking',
       is_thinking: 'Deep Thinking Support',
+      json_output: 'Support JSON formatted output',
     },
     knowledgeBase: {
       home: 'Home',
@@ -1524,6 +1525,7 @@ export const en = {
 }`,
       uploadCover: 'Import and Overwrite',
       refresh: 'Refresh Current Page',
+      json_output: 'Support JSON formatted output',
     },
     userMemory: {
       userMemory: 'User Memory',
@@ -2287,6 +2289,7 @@ Memory Bear: After the rebellion, regional warlordism intensified for several re
           messagesPlaceholder: 'Write prompts here, type "{" to insert variables, type "insert" to insert',
           vision: 'Vision',
           parameterSettings: 'Parameter Settings',
+          json_output: 'Support JSON formatted output',
         },
         start: {
           variables: 'Input Fields',
diff --git a/web/src/i18n/zh.ts b/web/src/i18n/zh.ts
index 98676ef4..921b3554 100644
--- a/web/src/i18n/zh.ts
+++ b/web/src/i18n/zh.ts
@@ -859,6 +859,7 @@ export const zh = {
 }`,
       uploadCover: '导入并覆盖',
       refresh: '刷新当前页',
+      json_output: '支持JSON格式化输出',
     },
     table: {
       totalRecords: '共 {{total}} 条记录'
@@ -1307,6 +1308,7 @@ export const zh = {
       video: '视频',
       thinking: '深度思考',
       is_thinking: '支持深度思考',
+      json_output: '支持JSON格式化输出',
     },
     timezones: {
       'Asia/Shanghai': '中国标准时间 (UTC+8)',
@@ -2248,6 +2250,7 @@ export const zh = {
           messagesPlaceholder: '在此处编写提示，输入“{”插入变量，输入“insert”插入',
           vision: '视觉',
           parameterSettings: '参数设置',
+          json_output: '支持JSON格式化输出',
         },
         start: {
           variables: '输入字段',
diff --git a/web/src/views/ApplicationConfig/components/ModelConfigModal.tsx b/web/src/views/ApplicationConfig/components/ModelConfigModal.tsx
index 8e3e3257..30af7a8c 100644
--- a/web/src/views/ApplicationConfig/components/ModelConfigModal.tsx
+++ b/web/src/views/ApplicationConfig/components/ModelConfigModal.tsx
@@ -2,7 +2,7 @@
  * @Author: ZhaoYing 
  * @Date: 2026-02-03 16:28:07 
  * @Last Modified by: ZhaoYing
- * @Last Modified time: 2026-03-31 16:56:57
+ * @Last Modified time: 2026-04-16 18:51:01
  */
 /**
  * Model Configuration Modal
@@ -102,14 +102,15 @@ const ModelConfigModal = forwardRef<ModelConfigModalRef, ModelConfigModalProps>(
   }
   /** Handle model selection change */
   const handleChange: SelectProps['onChange'] = (_value, option) => {
-    if (source === 'chat') {
-      form.setFieldValue('label', (option as Model).name)
-    }
-
-    form.setFieldsValue({
+    const newValues: ModelConfig = {
       capability: (option as Model).capability,
       deep_thinking: false,
-    })
+      json_output: false
+    }
+    if (source === 'chat') {
+      newValues.label = (option as Model).name
+    }
+    form.setFieldsValue(newValues)
   }
 
   /** Expose methods to parent component */
@@ -119,12 +120,10 @@ const ModelConfigModal = forwardRef<ModelConfigModalRef, ModelConfigModalProps>(
   }));
 
   useEffect(() => {
-    const { deep_thinking: _, ...rest } = data?.model_parameters || {}
+    const { deep_thinking: _, json_output: __, ...rest } = data?.model_parameters || {}
     form.setFieldsValue(rest)
   }, [values?.default_model_config_id])
 
-
-  console.log('handleChange values', values)
   return (
     <RbModal
       title={t('application.modelConfig')}
@@ -159,6 +158,9 @@ const ModelConfigModal = forwardRef<ModelConfigModalRef, ModelConfigModalProps>(
         <FormItem name="deep_thinking" valuePropName="checked" hidden={!['model', 'chat'].includes(source) || !(values?.deep_thinking || values?.capability?.includes('thinking'))}>
           <Checkbox>{t('application.deep_thinking')}</Checkbox>
         </FormItem>
+        <FormItem name="json_output" valuePropName="checked" hidden={!(values?.capability?.includes('json_output'))}>
+          <Checkbox>{t('application.json_output')}</Checkbox>
+        </FormItem>
         {source === 'chat' && <FormItem name="label" hidden />}
 
 
diff --git a/web/src/views/ApplicationConfig/types.ts b/web/src/views/ApplicationConfig/types.ts
index 83c11791..3b2755a9 100644
--- a/web/src/views/ApplicationConfig/types.ts
+++ b/web/src/views/ApplicationConfig/types.ts
@@ -2,7 +2,7 @@
  * @Author: ZhaoYing 
  * @Date: 2026-02-03 16:29:49 
  * @Last Modified by: ZhaoYing
- * @Last Modified time: 2026-04-07 15:46:19
+ * @Last Modified time: 2026-04-16 18:20:14
  */
 import type { KnowledgeConfig } from './components/Knowledge/types'
 import type { Variable } from './components/VariableList/types'
@@ -24,20 +24,21 @@ export interface ModelConfig {
   default_model_config_id?: string;
   capability?: Capability[];
   /** Temperature for response randomness (0-2) */
-  temperature: number;
+  temperature?: number;
   /** Maximum tokens in response */
-  max_tokens: number;
+  max_tokens?: number;
   /** Top-p sampling parameter */
-  top_p: number;
+  top_p?: number;
   /** Frequency penalty */
-  frequency_penalty: number;
+  frequency_penalty?: number;
   /** Presence penalty */
-  presence_penalty: number;
+  presence_penalty?: number;
   /** Number of completions to generate */
-  n: number;
+  n?: number;
   /** Stop sequences */
   stop?: string;
   deep_thinking?: boolean;
+  json_output?: boolean;
 }
 
 /**
diff --git a/web/src/views/ModelManagement/components/CustomModelModal.tsx b/web/src/views/ModelManagement/components/CustomModelModal.tsx
index 01cc0fd6..89aaec78 100644
--- a/web/src/views/ModelManagement/components/CustomModelModal.tsx
+++ b/web/src/views/ModelManagement/components/CustomModelModal.tsx
@@ -2,7 +2,7 @@
  * @Author: ZhaoYing 
  * @Date: 2026-02-03 16:49:28 
  * @Last Modified by: ZhaoYing
- * @Last Modified time: 2026-03-31 13:56:18
+ * @Last Modified time: 2026-04-16 18:03:53
  */
 /**
  * Custom Model Modal
@@ -14,7 +14,7 @@ import { forwardRef, useEffect, useImperativeHandle, useState } from 'react';
 import { Form, Input, App, Checkbox, Button, Row, Col } from 'antd';
 import { useTranslation } from 'react-i18next';
 
-import type { CustomModelForm, ModelListItem, CustomModelModalRef, CustomModelModalProps } from '../types';
+import type { CustomModelForm, ModelListItem, CustomModelModalRef, CustomModelModalProps, Capability } from '../types';
 import RbModal from '@/components/RbModal'
 import CustomSelect from '@/components/CustomSelect'
 import UploadImages from '@/components/Upload/UploadImages'
@@ -73,6 +73,7 @@ const CustomModelModal = forwardRef<CustomModelModalRef, CustomModelModalProps>(
         is_video: capability?.includes('video') || false,
         is_audio: capability?.includes('audio') || false,
         is_thinking: capability?.includes('thinking') || false,
+        json_output: capability?.includes('json_output') || false,
       });
     } else {
       setIsEdit(false);
@@ -102,13 +103,13 @@ const CustomModelModal = forwardRef<CustomModelModalRef, CustomModelModalProps>(
     form
       .validateFields()
       .then((values) => {
-        const { logo, type, is_vision, is_video, is_audio, is_omni, is_thinking, ...rest } = values;
+        const { logo, type, is_vision, is_video, is_audio, is_omni, is_thinking, json_output, ...rest } = values;
         const formData: CustomModelForm = {
           ...rest,
           type,
         }
         if (!['embedding', 'rerank'].includes(type as string)) {
-          let capability = is_omni ? ["vision", "audio", 'video'] : []
+          let capability: Capability[] = is_omni ? ["vision", "audio", 'video'] : []
 
           if (!is_omni) {
             if (is_vision) {
@@ -124,6 +125,9 @@ const CustomModelModal = forwardRef<CustomModelModalRef, CustomModelModalProps>(
           if (is_thinking) {
             capability.push('thinking')
           }
+          if (json_output) {
+            capability.push('json_output')
+          }
 
           formData.capability = capability
           formData.is_omni = is_omni
@@ -269,6 +273,11 @@ const CustomModelModal = forwardRef<CustomModelModalRef, CustomModelModalProps>(
                 <Checkbox>{t('modelNew.is_thinking')}</Checkbox>
               </Form.Item>
             </Col>
+            <Col span={24}>
+              <Form.Item name="json_output" valuePropName="checked" className="rb:mb-0!">
+                <Checkbox>{t('modelNew.json_output')}</Checkbox>
+              </Form.Item>
+            </Col>
           </Row>
         }
       </Form>
diff --git a/web/src/views/ModelManagement/types.ts b/web/src/views/ModelManagement/types.ts
index cafac4b3..1fa6bd3d 100644
--- a/web/src/views/ModelManagement/types.ts
+++ b/web/src/views/ModelManagement/types.ts
@@ -2,7 +2,7 @@
  * @Author: ZhaoYing 
  * @Date: 2026-02-03 16:50:18 
  * @Last Modified by: ZhaoYing
- * @Last Modified time: 2026-03-31 15:48:02
+ * @Last Modified time: 2026-04-16 18:04:46
  */
 /**
  * Type definitions for Model Management
@@ -296,6 +296,7 @@ export interface CustomModelForm {
   is_audio?: boolean;
   is_omni?: boolean;
   is_thinking?: boolean;
+  json_output?: boolean;
   capability?: Capability[];
 }
 
@@ -325,7 +326,7 @@ export interface BaseRef {
   modelListDetailRefresh?: () => void;
 }
 
-export type Capability = 'vision' | 'audio' | 'video' | 'thinking';
+export type Capability = 'vision' | 'audio' | 'video' | 'thinking' | 'json_output';
 export interface Model {
   name: string;
   type: string;
diff --git a/web/src/views/Workflow/components/Properties/ModelConfig/index.tsx b/web/src/views/Workflow/components/Properties/ModelConfig/index.tsx
index 43476c53..2da6f266 100644
--- a/web/src/views/Workflow/components/Properties/ModelConfig/index.tsx
+++ b/web/src/views/Workflow/components/Properties/ModelConfig/index.tsx
@@ -1,16 +1,38 @@
-import { type FC } from "react";
+/*
+ * @Author: ZhaoYing 
+ * @Date: 2026-03-07 14:55:04 
+ * @Last Modified by:   ZhaoYing 
+ * @Last Modified time: 2026-04-17 10:05:32 
+ */
+import { type FC, useEffect, useState } from "react";
 import { useTranslation } from 'react-i18next'
-import { Form } from 'antd'
+import { Form, Switch } from 'antd'
 
 import RbSlider from '@/components/RbSlider'
 import RbCard from '@/components/RbCard/Card'
 import ModelSelect from '@/components/ModelSelect'
+import type { Model } from '@/views/ModelManagement/types';
 
 const ModelConfig: FC = () => {
   const { t } = useTranslation()
   const form = Form.useFormInstance()
   const model_id = Form.useWatch(['model_id'], form)
-  console.log('ModelConfig', model_id)
+  const [selectedModel, setSelectedModel] = useState<Model | null>(null)
+  const [options, setOptions] = useState<Model[]>([])
+
+  const updateOptions = (options: Model[]) => {
+    setOptions(options)
+  }
+
+  useEffect(() => {
+    if (model_id && options) {
+      const model = options.find(item => item.id === model_id)
+      setSelectedModel(model || null)
+      form.setFieldValue('json_output', false)
+    } else {
+      setSelectedModel(null)
+    }
+  }, [model_id, options])
 
   return (
     <>
@@ -25,6 +47,7 @@ const ModelConfig: FC = () => {
           params={{ type: 'llm,chat' }}
           className="rb:w-full!"
           size="small"
+          updateOptions={updateOptions}
         />
       </Form.Item>
       {model_id && (
@@ -52,7 +75,7 @@ const ModelConfig: FC = () => {
           <Form.Item
             name="max_tokens"
             label={t('workflow.config.llm.max_tokens')}
-            className="rb:mb-0!"
+            className="rb:mb-1.5!"
           >
             <RbSlider 
               min={256}
@@ -63,6 +86,16 @@ const ModelConfig: FC = () => {
               className="rb:-mt-2!"
             />
           </Form.Item>
+          <Form.Item
+            name="json_output"
+            valuePropName="checked"
+            label={t('workflow.config.llm.json_output')}
+            layout="horizontal"
+            className="rb:mb-0!"
+            hidden={!(selectedModel?.capability?.includes('json_output'))}
+          >
+            <Switch />
+          </Form.Item>
         </RbCard>
       )}
     </>
diff --git a/web/src/views/Workflow/constant.ts b/web/src/views/Workflow/constant.ts
index eed77e2c..cae20180 100644
--- a/web/src/views/Workflow/constant.ts
+++ b/web/src/views/Workflow/constant.ts
@@ -2,7 +2,7 @@
  * @Author: ZhaoYing 
  * @Date: 2026-02-03 15:06:18 
  * @Last Modified by: ZhaoYing
- * @Last Modified time: 2026-04-07 19:56:56
+ * @Last Modified time: 2026-04-16 17:52:30
  */
 import LoopNode from './components/Nodes/LoopNode';
 import NormalNode from './components/Nodes/NormalNode';
@@ -101,6 +101,10 @@ export const nodeLibrary: NodeLibrary[] = [
             step: 1, 
             defaultValue: 2000 
           },
+          json_output: {
+            type: 'define',
+            defaultValue: false
+          },
           context: {
             type: 'variableList',
             placeholder: 'workflow.config.llm.contextPlaceholder'