diff --git a/astrbot/core/config/default.py b/astrbot/core/config/default.py
index d0b96fd2f..3aaaeb3ba 100644
--- a/astrbot/core/config/default.py
+++ b/astrbot/core/config/default.py
@@ -71,6 +71,12 @@
         "show_tool_use_status": False,
         "streaming_segmented": False,
         "max_agent_step": 30,
+        "error_handling": {
+            "retry_on_failure": 0,
+            "report_error_message": True,
+            "fallback_response": "",
+            "retry_delay": 0,
+        },
     },
     "provider_stt_settings": {
         "enable": False,
@@ -2086,6 +2092,32 @@
                     },
                 },
             },
+            "error_handling": {
+                "description": "错误处理",
+                "type": "object",
+                "items": {
+                    "provider_settings.error_handling.retry_on_failure": {
+                        "description": "LLM 请求失败时重试次数",
+                        "type": "int",
+                        "hint": "当请求失败时自动重试的次数。0 表示不重试。",
+                    },
+                    "provider_settings.error_handling.report_error_message": {
+                        "description": "向用户报告详细错误",
+                        "type": "bool",
+                        "hint": "是否将详细的技术性错误信息作为消息发送给用户。如果关闭，将使用下方的备用回复。",
+                    },
+                    "provider_settings.error_handling.fallback_response": {
+                        "description": "备用回复",
+                        "type": "string",
+                        "hint": "当“向用户报告详细错误”被关闭且所有重试都失败时，发送给用户的固定回复。如果留空，则不发送任何消息（静默失败）。",
+                    },
+                    "provider_settings.error_handling.retry_delay": {
+                        "description": "LLM 请求失败时重试间隔（秒）",
+                        "type": "float",
+                        "hint": "当请求失败并进行重试时，每次重试之间的等待时间（秒）。设置为 0 则不等待。",
+                    },
+                },
+            },
         },
     },
     "platform_group": {
diff --git a/astrbot/core/pipeline/process_stage/method/llm_request.py b/astrbot/core/pipeline/process_stage/method/llm_request.py
index 6035b21e9..566b851d9 100644
--- a/astrbot/core/pipeline/process_stage/method/llm_request.py
+++ b/astrbot/core/pipeline/process_stage/method/llm_request.py
@@ -221,62 +221,94 @@ async def on_agent_done(self, run_context, llm_response):
 
 
 async def run_agent(
-    agent_runner: AgentRunner, max_step: int = 30, show_tool_use: bool = True
+    agent_runner: AgentRunner,
+    max_step: int = 30,
+    show_tool_use: bool = True,
+    retry_on_failure: int = 0,
+    report_error_message: bool = True,
+    fallback_response: str = "",
+    retry_delay: float = 0,
 ) -> AsyncGenerator[MessageChain, None]:
     step_idx = 0
     astr_event = agent_runner.run_context.event
-    while step_idx < max_step:
-        step_idx += 1
+    success = False
+    # Retry loop
+    for attempt in range(retry_on_failure + 1):
+        step_idx = 0
         try:
-            async for resp in agent_runner.step():
-                if astr_event.is_stopped():
-                    return
-                if resp.type == "tool_call_result":
-                    msg_chain = resp.data["chain"]
-                    if msg_chain.type == "tool_direct_result":
-                        # tool_direct_result 用于标记 llm tool 需要直接发送给用户的内容
-                        resp.data["chain"].type = "tool_call_result"
-                        await astr_event.send(resp.data["chain"])
+            while step_idx < max_step:
+                step_idx += 1
+                async for resp in agent_runner.step():
+                    if astr_event.is_stopped():
+                        return
+                    if resp.type == "tool_call_result":
+                        msg_chain = resp.data["chain"]
+                        if msg_chain.type == "tool_direct_result":
+                            # tool_direct_result 用于标记 llm tool 需要直接发送给用户的内容
+                            resp.data["chain"].type = "tool_call_result"
+                            await astr_event.send(resp.data["chain"])
+                            continue
+                        # 对于其他情况，暂时先不处理
+                        continue
+                    elif resp.type == "tool_call":
+                        if agent_runner.streaming:
+                            # 用来标记流式响应需要分节
+                            yield MessageChain(chain=[], type="break")
+                        if show_tool_use or astr_event.get_platform_name() == "webchat":
+                            resp.data["chain"].type = "tool_call"
+                            await astr_event.send(resp.data["chain"])
                         continue
-                    # 对于其他情况，暂时先不处理
-                    continue
-                elif resp.type == "tool_call":
-                    if agent_runner.streaming:
-                        # 用来标记流式响应需要分节
-                        yield MessageChain(chain=[], type="break")
-                    if show_tool_use or astr_event.get_platform_name() == "webchat":
-                        resp.data["chain"].type = "tool_call"
-                        await astr_event.send(resp.data["chain"])
-                    continue
 
-                if not agent_runner.streaming:
-                    content_typ = (
-                        ResultContentType.LLM_RESULT
-                        if resp.type == "llm_result"
-                        else ResultContentType.GENERAL_RESULT
-                    )
-                    astr_event.set_result(
-                        MessageEventResult(
-                            chain=resp.data["chain"].chain,
-                            result_content_type=content_typ,
+                    if not agent_runner.streaming:
+                        content_typ = (
+                            ResultContentType.LLM_RESULT
+                            if resp.type == "llm_result"
+                            else ResultContentType.GENERAL_RESULT
                         )
-                    )
-                    yield
-                    astr_event.clear_result()
-                else:
-                    if resp.type == "streaming_delta":
-                        yield resp.data["chain"]  # MessageChain
-            if agent_runner.done():
+                        astr_event.set_result(
+                            MessageEventResult(
+                                chain=resp.data["chain"].chain,
+                                result_content_type=content_typ,
+                            )
+                        )
+                        yield
+                        astr_event.clear_result()
+                    else:
+                        if resp.type == "streaming_delta":
+                            yield resp.data["chain"]  # MessageChain
+                if agent_runner.done():
+                    success = True
+                    break
+            if success:
                 break
 
         except Exception as e:
-            logger.error(traceback.format_exc())
-            astr_event.set_result(
-                MessageEventResult().message(
-                    f"AstrBot 请求失败。\n错误类型: {type(e).__name__}\n错误信息: {str(e)}\n\n请在控制台查看和分享错误详情。\n"
-                )
+            logger.error(
+                f"Attempt {attempt + 1}/{retry_on_failure + 1} failed: {traceback.format_exc()}"
             )
-            return
+            if attempt >= retry_on_failure:
+                # All retries exhausted, handle final error
+                if report_error_message:
+                    astr_event.set_result(
+                        MessageEventResult().message(
+                            f"AstrBot 请求失败。\n错误类型: {type(e).__name__}\n错误信息: {str(e)}\n\n请在控制台查看和分享错误详情。\n"
+                        )
+                    )
+                elif fallback_response:
+                    astr_event.set_result(
+                        MessageEventResult().message(fallback_response)
+                    )
+                # If report_error_message is False and fallback_response is empty, do nothing (silent fail).
+                return
+
+            # --- 新增的重试等待逻辑 ---
+            if retry_delay > 0:
+                logger.debug(f"Waiting for {retry_delay} seconds before retrying...")
+                await asyncio.sleep(retry_delay)
+
+            # If retries are left, continue to the next attempt
+            continue
+    if success:
         asyncio.create_task(
             Metric.upload(
                 llm_tick=1,
@@ -304,6 +336,32 @@ async def initialize(self, ctx: PipelineContext) -> None:
             self.max_step = 30
         self.show_tool_use: bool = settings.get("show_tool_use_status", True)
 
+        # Load error handling settings
+        error_handling_settings = settings.get("error_handling", {})
+
+        # Validate retry_on_failure
+        retry_on_failure = error_handling_settings.get("retry_on_failure", 0)
+        if not isinstance(retry_on_failure, int) or not (0 <= retry_on_failure <= 10):
+            logger.warning(
+                f"Invalid value for retry_on_failure: {retry_on_failure}. Must be an integer between 0 and 10. Using default 0."
+            )
+            retry_on_failure = 0
+        self.retry_on_failure = retry_on_failure
+
+        # Validate and load retry_delay
+        retry_delay = error_handling_settings.get("retry_delay", 0)
+        if not isinstance(retry_delay, (int, float)) or not (0 <= retry_delay <= 10):
+            logger.warning(
+                f"Invalid value for retry_delay: {retry_delay}. Must be a number between 0 and 10. Using default 0."
+            )
+            retry_delay = 0
+        self.retry_delay = retry_delay
+
+        self.report_error_message = error_handling_settings.get(
+            "report_error_message", True
+        )
+        self.fallback_response = error_handling_settings.get("fallback_response", "")
+
         for bwp in self.bot_wake_prefixs:
             if self.provider_wake_prefix.startswith(bwp):
                 logger.info(
@@ -477,7 +535,15 @@ async def process(
                 MessageEventResult()
                 .set_result_content_type(ResultContentType.STREAMING_RESULT)
                 .set_async_stream(
-                    run_agent(agent_runner, self.max_step, self.show_tool_use)
+                    run_agent(
+                        agent_runner,
+                        self.max_step,
+                        self.show_tool_use,
+                        self.retry_on_failure,
+                        self.report_error_message,
+                        self.fallback_response,
+                        self.retry_delay,
+                    )
                 )
             )
             yield
@@ -496,7 +562,15 @@ async def process(
                         )
                     )
         else:
-            async for _ in run_agent(agent_runner, self.max_step, self.show_tool_use):
+            async for _ in run_agent(
+                agent_runner,
+                self.max_step,
+                self.show_tool_use,
+                self.retry_on_failure,
+                self.report_error_message,
+                self.fallback_response,
+                self.retry_delay,
+            ):
                 yield
 
         await self._save_to_history(event, req, agent_runner.get_final_llm_resp())
diff --git a/tests/test_llm_request.py b/tests/test_llm_request.py
new file mode 100644
index 000000000..31d3521b7
--- /dev/null
+++ b/tests/test_llm_request.py
@@ -0,0 +1,198 @@
+import pytest
+from unittest.mock import MagicMock, AsyncMock, patch
+
+# 导入我们需要测试的函数和相关类
+# 注意：由于这是正式的测试文件，我们需要确保导入路径正确
+from astrbot.core.pipeline.process_stage.method.llm_request import run_agent
+from astrbot.core.message.message_event_result import MessageEventResult, MessageChain
+from astrbot.core.message.components import Plain
+
+
+# 1. 定义模拟对象
+class MockAgentRunner:
+    """
+    模拟 AgentRunner 类，用于测试 run_agent 的行为。
+    """
+
+    def __init__(self, fail_times=0, streaming=False):
+        self.step_calls = 0
+        self.fail_times = fail_times
+        self.streaming = streaming
+        self._done = False
+
+        self.provider = MagicMock()
+        self.provider.get_model.return_value = "test-model"
+        mock_provider_meta = MagicMock()
+        mock_provider_meta.type = "test-provider-type"
+        self.provider.meta.return_value = mock_provider_meta
+
+        self.run_context = MagicMock()
+        self.run_context.event = MockEvent()
+
+    async def step(self):
+        """
+        模拟 agent_runner.step() 方法。
+        """
+        self.step_calls += 1
+        if self.step_calls <= self.fail_times:
+            raise ValueError(f"Simulated step failure on call #{self.step_calls}")
+
+        # 如果成功，就标记为完成
+        self._done = True
+        mock_resp = MagicMock()
+        mock_resp.type = "llm_result"
+        mock_chain = MessageChain([Plain("Test LLM response")])
+        mock_resp.data = {"chain": mock_chain}
+        yield mock_resp
+
+    def done(self):
+        """
+        修改 done() 逻辑：当 step 成功返回时，标记为完成。
+        """
+        return self._done
+
+
+class MockEvent:
+    """
+    简化的模拟 Event 类。
+    """
+
+    def __init__(self):
+        self.sent_messages = []
+        self.final_result = None
+        self._is_stopped = False
+
+    async def send(self, message: MessageChain):
+        self.sent_messages.append(message)
+
+    def set_result(self, result: MessageEventResult):
+        self.final_result = result
+
+    def is_stopped(self):
+        return self._is_stopped
+
+    def clear_result(self):
+        self.final_result = None
+
+    def get_platform_name(self):
+        return "test_platform"
+
+
+# 2. 编写测试用例
+
+
+@patch(
+    "astrbot.core.pipeline.process_stage.method.llm_request.Metric.upload",
+    new_callable=AsyncMock,
+)
+@pytest.mark.asyncio
+async def test_run_agent_success_on_first_try(mock_metric_upload):
+    """
+    测试用例 1: 成功执行 (无异常)
+    """
+    agent_runner = MockAgentRunner(fail_times=0)
+    event = agent_runner.run_context.event
+
+    async for _ in run_agent(agent_runner, max_step=1):
+        assert event.final_result is not None
+        assert event.final_result.result_content_type.name == "LLM_RESULT"
+
+    assert event.final_result is None
+    assert agent_runner.step_calls == 1
+    mock_metric_upload.assert_called_once()
+
+
+@patch(
+    "astrbot.core.pipeline.process_stage.method.llm_request.Metric.upload",
+    new_callable=AsyncMock,
+)
+@pytest.mark.asyncio
+async def test_run_agent_retry_and_succeed(mock_metric_upload):
+    """
+    测试用例 2: 重试并最终成功
+    """
+    agent_runner = MockAgentRunner(fail_times=1)
+    event = agent_runner.run_context.event
+
+    async for _ in run_agent(agent_runner, retry_on_failure=1, max_step=1):
+        assert event.final_result is not None
+        assert event.final_result.result_content_type.name == "LLM_RESULT"
+        assert "Test LLM response" in event.final_result.chain[0].text
+
+    assert agent_runner.step_calls == 2
+    mock_metric_upload.assert_called_once()
+
+
+@patch(
+    "astrbot.core.pipeline.process_stage.method.llm_request.Metric.upload",
+    new_callable=AsyncMock,
+)
+@pytest.mark.asyncio
+async def test_run_agent_retry_exhausted_with_error_report(mock_metric_upload):
+    """
+    测试用例 3: 重试耗尽并报告错误
+    """
+    # 总是失败
+    agent_runner = MockAgentRunner(fail_times=10)
+    event = agent_runner.run_context.event
+
+    async for _ in run_agent(
+        agent_runner, retry_on_failure=1, report_error_message=True, max_step=1
+    ):
+        pass
+
+    assert agent_runner.step_calls == 2
+    assert event.final_result is not None
+    assert "AstrBot 请求失败" in event.final_result.chain[0].text
+
+
+@patch(
+    "astrbot.core.pipeline.process_stage.method.llm_request.Metric.upload",
+    new_callable=AsyncMock,
+)
+@pytest.mark.asyncio
+async def test_run_agent_retry_exhausted_with_fallback_response(mock_metric_upload):
+    """
+    测试用例 4: 重试耗尽并返回备用响应
+    """
+    agent_runner = MockAgentRunner(fail_times=10)
+    fallback_text = "Sorry, I am busy."
+    event = agent_runner.run_context.event
+
+    async for _ in run_agent(
+        agent_runner,
+        retry_on_failure=1,
+        report_error_message=False,
+        fallback_response=fallback_text,
+        max_step=1,
+    ):
+        pass
+
+    assert agent_runner.step_calls == 2
+    assert event.final_result is not None
+    assert event.final_result.chain[0].text == fallback_text
+
+
+@patch(
+    "astrbot.core.pipeline.process_stage.method.llm_request.Metric.upload",
+    new_callable=AsyncMock,
+)
+@pytest.mark.asyncio
+async def test_run_agent_retry_exhausted_with_silent_fail(mock_metric_upload):
+    """
+    测试用例 5: 重试耗尽并静默失败
+    """
+    agent_runner = MockAgentRunner(fail_times=10)
+    event = agent_runner.run_context.event
+
+    async for _ in run_agent(
+        agent_runner,
+        retry_on_failure=1,
+        report_error_message=False,
+        fallback_response="",
+        max_step=1,
+    ):
+        pass
+
+    assert agent_runner.step_calls == 2
+    assert event.final_result is None
diff --git a/uv.lock b/uv.lock
index 3d0499d6d..c7bdef08b 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2,7 +2,8 @@ version = 1
 revision = 2
 requires-python = ">=3.10"
 resolution-markers = [
-    "python_full_version >= '3.11'",
+    "python_full_version >= '3.13'",
+    "python_full_version >= '3.11' and python_full_version < '3.13'",
     "python_full_version < '3.11'",
 ]
 
@@ -213,7 +214,7 @@ wheels = [
 
 [[package]]
 name = "astrbot"
-version = "4.0.0b3"
+version = "4.1.4"
 source = { editable = "." }
 dependencies = [
     { name = "aiocqhttp" },
@@ -222,9 +223,11 @@ dependencies = [
     { name = "aiosqlite" },
     { name = "anthropic" },
     { name = "apscheduler" },
+    { name = "audioop-lts", marker = "python_full_version >= '3.13'" },
     { name = "beautifulsoup4" },
     { name = "certifi" },
     { name = "chardet" },
+    { name = "click" },
     { name = "colorlog" },
     { name = "cryptography" },
     { name = "dashscope" },
@@ -278,9 +281,11 @@ requires-dist = [
     { name = "aiosqlite", specifier = ">=0.21.0" },
     { name = "anthropic", specifier = ">=0.51.0" },
     { name = "apscheduler", specifier = ">=3.11.0" },
+    { name = "audioop-lts", marker = "python_full_version >= '3.13'" },
     { name = "beautifulsoup4", specifier = ">=4.13.4" },
     { name = "certifi", specifier = ">=2025.4.26" },
     { name = "chardet", specifier = "~=5.1.0" },
+    { name = "click", specifier = ">=8.2.1" },
     { name = "colorlog", specifier = ">=6.9.0" },
     { name = "cryptography", specifier = ">=44.0.3" },
     { name = "dashscope", specifier = ">=1.23.2" },
@@ -288,7 +293,7 @@ requires-dist = [
     { name = "deprecated", specifier = ">=1.2.18" },
     { name = "dingtalk-stream", specifier = ">=0.22.1" },
     { name = "docstring-parser", specifier = ">=0.16" },
-    { name = "faiss-cpu", specifier = ">=1.10.0" },
+    { name = "faiss-cpu", specifier = "==1.10.0" },
     { name = "filelock", specifier = ">=3.18.0" },
     { name = "google-genai", specifier = ">=1.14.0" },
     { name = "googlesearch-python", specifier = ">=1.3.0" },
@@ -344,6 +349,62 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/77/06/bb80f5f86020c4551da315d78b3ab75e8228f89f0162f2c3a819e407941a/attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3", size = 63815, upload-time = "2025-03-13T11:10:21.14Z" },
 ]
 
+[[package]]
+name = "audioop-lts"
+version = "0.2.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/38/53/946db57842a50b2da2e0c1e34bd37f36f5aadba1a929a3971c5d7841dbca/audioop_lts-0.2.2.tar.gz", hash = "sha256:64d0c62d88e67b98a1a5e71987b7aa7b5bcffc7dcee65b635823dbdd0a8dbbd0", size = 30686, upload-time = "2025-08-05T16:43:17.409Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/de/d4/94d277ca941de5a507b07f0b592f199c22454eeaec8f008a286b3fbbacd6/audioop_lts-0.2.2-cp313-abi3-macosx_10_13_universal2.whl", hash = "sha256:fd3d4602dc64914d462924a08c1a9816435a2155d74f325853c1f1ac3b2d9800", size = 46523, upload-time = "2025-08-05T16:42:20.836Z" },
+    { url = "https://files.pythonhosted.org/packages/f8/5a/656d1c2da4b555920ce4177167bfeb8623d98765594af59702c8873f60ec/audioop_lts-0.2.2-cp313-abi3-macosx_10_13_x86_64.whl", hash = "sha256:550c114a8df0aafe9a05442a1162dfc8fec37e9af1d625ae6060fed6e756f303", size = 27455, upload-time = "2025-08-05T16:42:22.283Z" },
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 [[package]]
@@ -1688,7 +1721,8 @@ name = "numpy"
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 source = { registry = "https://pypi.org/simple" }
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