diff --git a/pyproject.toml b/pyproject.toml
index 0f96c7f..6ad0787 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,11 +5,15 @@ description = "管理Modal worker的工程"
 readme = "README.md"
 requires-python = ">=3.11"
 dependencies = [
+    "backoff>=2.2.1",
     "boto3>=1.37.37",
     "cos-python-sdk-v5>=1.9.36",
     "crcmod>=1.7",
+    "fastapi[standard]>=0.115.12",
     "httpx>=0.28.1",
     "loguru>=0.7.3",
+    "modal>=0.74.57",
+    "psutil>=7.0.0",
     "pydantic>=2.11.3",
     "pydantic-settings>=2.9.1",
     "python-ffmpeg>=2.0.12",
diff --git a/src/cluster/app.py b/src/cluster/app.py
index ac3254e..94e2ae7 100644
--- a/src/cluster/app.py
+++ b/src/cluster/app.py
@@ -2,12 +2,13 @@ import modal
 from config import config
 from video_downloader.worker import worker_app
 from web.worker import fastapi_app
-from ffmpeg_worker.worker import ffmpeg_worker_app
+from ffmpeg_worker.worker import app as ffmpeg_app
 
-app = modal.App('video-downloader',
+app = modal.App(config.app_name,
+                include_source=False,
                 secrets=[modal.Secret.from_name("cf-kv-secret",
                                                 environment_name=config.environment)])
 
 app.include(fastapi_app)
 app.include(worker_app)
-app.include(ffmpeg_worker_app)
+app.include(ffmpeg_app)
diff --git a/src/cluster/config.py b/src/cluster/config.py
index 834b8c5..4efe7bf 100644
--- a/src/cluster/config.py
+++ b/src/cluster/config.py
@@ -4,10 +4,12 @@ from pydantic_settings import BaseSettings, SettingsConfigDict
 
 
 class WorkerConfig(BaseSettings):
+    app_name: str = Field(default='video-downloader', description="Modal App集群名称")
     video_downloader_concurrency: Optional[int] = Field(default=10, description="处理缓存任务的并行数")
     ffmpeg_worker_concurrency: Optional[int] = Field(default=10, description="处理视频合成任务的并行数")
 
     modal_kv_name: Optional[str] = Field(default='media-cache', description="Modal视频缓存KV库")
+    s3_region: Optional[str] = Field(default='ap-northeast-2', description="S3挂载桶的地域")
     s3_bucket_name: Optional[str] = Field(default='modal-media-cache', description="集群挂载的S3存储桶")
     cdn_endpoint: Optional[str] = Field(default="https://d2nj71io21vkj2.cloudfront.net",
                                         description="集群挂载S3存储桶的对应AWS Cloudfront CDN")
@@ -20,6 +22,7 @@ config = WorkerConfig(
     video_downloader_concurrency=10,
     ffmpeg_worker_concurrency=10,
     modal_kv_name="media-cache",
+    s3_region='ap-northeast-2',
     s3_bucket_name="modal-media-cache",
     environment="dev"
-)
\ No newline at end of file
+)
diff --git a/src/cluster/ffmpeg_worker/Utils/PathUtils.py b/src/cluster/ffmpeg_worker/Utils/PathUtils.py
index 95ecf2b..6975eb9 100644
--- a/src/cluster/ffmpeg_worker/Utils/PathUtils.py
+++ b/src/cluster/ffmpeg_worker/Utils/PathUtils.py
@@ -10,3 +10,11 @@ class FileUtils:
         filenames[0] = f"{filenames[0]}_{extend}"
         extend_filename = '.'.join(filenames)
         return os.path.join(media_dir, extend_filename)
+
+    @staticmethod
+    def file_path_replace_root_prefix(media_path: str, prefix: str, depth: int = 1) -> str:
+        media_dirs = media_path.split('/')
+        if depth >= len(media_dirs):
+            raise IndexError("Depth is out of range")
+        media_dir_prefix = prefix + '/'.join(media_dirs[depth:])
+        return media_dir_prefix
diff --git a/src/cluster/ffmpeg_worker/worker.py b/src/cluster/ffmpeg_worker/worker.py
index 4f6aaac..17d0071 100644
--- a/src/cluster/ffmpeg_worker/worker.py
+++ b/src/cluster/ffmpeg_worker/worker.py
@@ -1,25 +1,33 @@
-import os.path
-
 import modal
-from src.cluster.config import config
 
 ffmpeg_worker_image = (
     modal.Image.debian_slim(python_version="3.11")
     .apt_install('ffmpeg')
-    .pip_install('sentry-sdk', 'loguru', 'pydantic', 'pydantic_settings', 'httpx', 'python-ffmpeg')
+    .pip_install('sentry-sdk', 'loguru', 'pydantic', 'pydantic_settings', 'httpx', 'python-ffmpeg', 'psutil', 'backoff')
+    .add_local_python_source("src.cluster.config", copy=True)
     .add_local_python_source("src.cluster.ffmpeg_worker.model", copy=True)
     .add_local_python_source("src.cluster.video_downloader.model", copy=True)
 )
 
-ffmpeg_worker_app = modal.App("ffmpeg_worker_app", image=ffmpeg_worker_image, )
-ffmpeg_worker_app.set_description("FFMPEG worker app")
+app = modal.App(image=ffmpeg_worker_image, )
 
 with ffmpeg_worker_image.imports():
-    from typing import List
+    from src.cluster.config import config
+    from typing import List, Optional, Tuple, Dict, Any
     from loguru import logger
-    import sentry_sdk
-    from src.cluster.video_downloader.model import MediaSource, MediaCache
-    from src.cluster.ffmpeg_worker.model import FFMpegSliceSegment, TimeDelta
+    from ffmpeg.asyncio import FFmpeg
+    from src.cluster.ffmpeg_worker.Utils.PathUtils import FileUtils
+    from src.cluster.video_downloader.model import (MediaSources,
+                                                    MediaSource,
+                                                    MediaCache,
+                                                    MediaProtocol,
+                                                    MediaCacheStatus)
+    from src.cluster.web.model import SentryTransactionInfo
+    from src.cluster.ffmpeg_worker.model import FFMpegSliceSegment
+    import shutil, psutil, os, backoff, json, sentry_sdk
+    from psutil import svmem
+    from psutil._common import scpufreq
+    from modal import current_function_call_id
 
     sentry_sdk.init(
         dsn="https://75cca970bfcc3d45d24361e7c0f1833c@sentry.bowongai.com/4",
@@ -33,62 +41,54 @@ with ffmpeg_worker_image.imports():
     modal_kv = modal.Dict.from_name(config.modal_kv_name,
                                     environment_name=config.environment,
                                     create_if_missing=True)
-
+    s3_mount = "/mntS3"
+    output_path_prefix = "/mnt/outputs"
 
     @sentry_sdk.trace
     def get_cache_filepath(media: MediaSource) -> MediaCache:
-        cache_data_json = modal_kv.get(media.cache_key)
-        if cache_data_json:
+        """
+        获取缓存路径
+        :param media: 媒体文件
+        :return:
+        """
+        # 本地挂载缓存
+        if media.protocol == MediaProtocol.s3 and media.endpoint == config.s3_region and media.bucket == config.bucket:
+            cache_data = MediaCache(status=MediaCacheStatus.ready, cache_filepath=f"{s3_mount}/{media.get_cdn_url()}")
+        else:
+            cache_data_json = modal_kv.get(media.cache_key)
+            if not cache_data_json:
+                raise FileNotFoundError(f"{media.cache_key} cache not found")
             cache_data = MediaCache.model_validate_json(cache_data_json)
-            return cache_data
-        raise FileNotFoundError(f"{media.cache_key} cache not found")
+        return cache_data
 
 
-    @ffmpeg_worker_app.function(
-        cpu=6, timeout=1800, memory=(2048, 6144),
-        # cloud="aws",
-        # region='ap-northeast',
-        max_containers=config.ffmpeg_worker_concurrency,
-        volumes={
-            "/mntS3": modal.CloudBucketMount(
-                bucket_name=config.s3_bucket_name,
-                secret=modal.Secret.from_name("aws-s3-secret", environment_name=config.environment),
-            ),
-        }, )
-    @modal.concurrent(max_inputs=1)
-    def ffmpeg_concat_medias():
-        return {}
+    @sentry_sdk.trace
+    def capture_hardware_info() -> Tuple[scpufreq, int, svmem]:
+        cpu_freq = psutil.cpu_freq()
+        cpu_count = psutil.cpu_count()
+        mem = psutil.virtual_memory()
+
+        return (cpu_freq, cpu_count, mem)
 
 
-    @ffmpeg_worker_app.function(
-        cpu=12, timeout=900, memory=(2048, 4096),
-        cloud="aws",
-        max_containers=config.ffmpeg_worker_concurrency,
-        volumes={
-            "/mntS3": modal.CloudBucketMount(
-                bucket_name=config.s3_bucket_name,
-                secret=modal.Secret.from_name("aws-s3-secret", environment_name=config.environment),
-            ),
-        },
-    )
-    @modal.concurrent(max_inputs=1)
-    async def ffmpeg_slice_media(media: MediaSource, markers: List[FFMpegSliceSegment], ):
-        from src.cluster.ffmpeg_worker.Utils.PathUtils import FileUtils
-        from ffmpeg.asyncio import FFmpeg
-
-        cache = get_cache_filepath(media)
+    @sentry_sdk.trace
+    async def ffmpeg_slice_process(media_source: MediaSource, media_markers: List[FFMpegSliceSegment], fn_id: str) -> \
+    List[str]:
+        cache = get_cache_filepath(media_source)
         logger.info(cache.cache_filepath)
         outputs: List[str] = []
         ffmpeg_cmd = FFmpeg().option('y').option('hide_banner').input(cache.cache_filepath)
         filter_complex: List[str] = []
-        for index, marker in enumerate(markers):
+        for index, marker in enumerate(media_markers):
             segment_out_index = f"cut{index}"
             filter_complex.append(
                 f"[0]trim=start={marker.start.total_seconds()}:end={marker.end.total_seconds()},setpts=PTS-STARTPTS[{segment_out_index}]")
         ffmpeg_cmd.option('filter_complex', ';'.join(filter_complex))
-        for i, marker in enumerate(markers):
-            output_filepath = FileUtils.file_path_extend(cache.cache_filepath, str(i))
-            # f"{marker.start.toFormatStr()}_{marker.end.toFormatStr()}")
+
+        for i, marker in enumerate(media_markers):
+            filename = FileUtils.file_path_extend(os.path.basename(cache.cache_filepath), str(i))
+            output_filepath = f"{output_path_prefix}/slice/outputs/{fn_id}/{filename}"
+            output_filepath = output_filepath.replace('//', '/')
             workdir = os.path.dirname(output_filepath)
             os.makedirs(workdir, exist_ok=True)
             outputs.append(output_filepath)
@@ -97,7 +97,7 @@ with ffmpeg_worker_image.imports():
                               reset_timestamps="1",
                               sc_threshold="0",
                               g="1",
-                              force_key_frames="expr:gte(t, n_forced * 1)",
+                              force_key_frames="expr:gte(t,n_forced*1)",
                               vcodec="libx264",
                               crf=16,
                               r=30, )
@@ -124,9 +124,236 @@ with ffmpeg_worker_image.imports():
             logger.info(f"FFMpeg task completed.")
 
         @ffmpeg_cmd.on("stderr")
-        def on_stderr(line):
-            logger.warning(line)
+        def on_stderr(line: str):
+            if line.startswith('Error'):
+                logger.error(line)
+                raise RuntimeError(line)
+            else:
+                logger.warning(line)
 
         await ffmpeg_cmd.execute()
 
-        return outputs
+        s3_outputs = local_copy_to_s3(outputs)
+
+        return s3_outputs
+
+
+    @backoff.on_exception(backoff.constant, exception=Exception, max_tries=5, max_time=60, raise_on_giveup=True)
+    def local_copy_to_s3(local_outputs: List[str]) -> List[str]:
+        s3_outputs = []
+        for output in local_outputs:
+            out_s3 = output.replace(output_path_prefix, s3_mount)
+            out_s3_dir = os.path.dirname(out_s3)
+            logger.info(out_s3_dir)
+            os.makedirs(out_s3_dir, exist_ok=True)
+            shutil.copy(output, out_s3)
+            s3_outputs.append(
+                out_s3.replace(s3_mount + '/', f"s3://{config.s3_region}/{config.s3_bucket_name}/"))
+        return s3_outputs
+
+    @app.function(
+        name="concat_medias",
+        cpu=12, timeout=1800, memory=(2048, 6144),
+        cloud="aws",
+        # region='ap-northeast',
+        max_containers=config.ffmpeg_worker_concurrency,
+        volumes={
+            s3_mount: modal.CloudBucketMount(
+                bucket_name=config.s3_bucket_name,
+                secret=modal.Secret.from_name("aws-s3-secret",
+                                              environment_name=config.environment),
+            ),
+        }, )
+    @modal.concurrent(max_inputs=1)
+    async def ffmpeg_concat_medias(medias: MediaSources,
+                                   sentry_trace: Optional[SentryTransactionInfo] = None) -> Tuple[
+        str, Optional[SentryTransactionInfo]]:
+
+        @sentry_sdk.trace
+        async def print_media_streams_info(media_paths: List[str]) -> List[Dict[str, Any]]:
+            """
+            打印多个媒体文件的视频和音频流详细信息
+            :param media_paths: 媒体文件路径列表
+            """
+            res = []
+            for path in media_paths:
+                try:
+                    # 使用ffprobe探测媒体文件信息
+                    probe_info_byte = await FFmpeg(executable="ffprobe").input(path, print_format="json",
+                                                                               show_streams=None).execute()
+                    probe_info = json.loads(probe_info_byte)
+                    res.append(probe_info)
+                except Exception as e:
+                    logger.exception(e)
+                    continue
+            return res
+
+        @sentry_sdk.trace
+        async def ffmpeg_process(media_sources: MediaSources, output_filepath: str) -> None:
+            ffmpeg_cmd = FFmpeg().option('y').option('hide_banner')
+
+            input_videos = []
+            for media_source in media_sources.inputs:
+                cache = get_cache_filepath(media_source)
+                logger.info(cache.cache_filepath)
+                ffmpeg_cmd.input(cache.cache_filepath)
+                input_videos.append(cache.cache_filepath)
+
+            video_info = print_media_streams_info(media_paths=input_videos)
+            filter_complex = []
+
+            for i in range(len(input_videos)):
+                info = video_info[i]
+                streams = info.get("streams", [])
+                video_stream = streams[0]
+                # audio_stream = streams[1]
+                video_duration = video_stream.get("duration")
+                # audio_duration = audio_stream.get("duration")
+                '''
+                filter_complex.extend(
+                    [
+                        # 先缩放到统一分辨率，然后设置帧率和格式
+                        f"[{i}:v]scale={target_width}:{target_height}:force_original_aspect_ratio=decrease,"
+                        f"pad={target_width}:{target_height}:(ow-iw)/2:(oh-ih)/2,"
+                        f"fps=30,format=yuv420p[v{i}]",
+                        f"[{i}:a]aformat=sample_fmts=fltp:sample_rates=44100:channel_layouts=stereo[a{i}]",
+                    ]
+                )
+                '''
+                filter_complex.extend(
+                    [
+                        f"[{i}:v]trim=0:{video_duration},setpts=PTS-STARTPTS[v{i}]",
+                        f"[{i}:a]atrim=0:{video_duration},asetpts=PTS-STARTPTS[a{i}]",
+                    ]
+                )
+
+            # 3. 准备处理后的视频流和音频流的连接字符串
+            video_streams = "".join(f"[v{i}]" for i in range(len(input_videos)))
+            audio_streams = "".join(f"[a{i}]" for i in range(len(input_videos)))
+
+            # 4. 使用concat过滤器合并视频和音频
+            filter_complex.extend(
+                [
+                    f"{video_streams}concat=n={len(input_videos)}:v=1:a=0[vconcated]",
+                    f"{audio_streams}concat=n={len(input_videos)}:v=0:a=1[aconcated]",
+                ]
+            )
+
+            @ffmpeg_cmd.on("start")
+            def on_start(arguments: list[str]):
+                try:
+                    filter_index = arguments.index("-filter_complex")
+                    filter_content = arguments[filter_index + 1]
+                    arguments[filter_index + 1] = f'"{filter_content}"'
+                    args = " ".join(arguments)
+                    logger.info(f"FFmpeg command:{args}")
+                    arguments[filter_index + 1] = filter_content
+                except ValueError:
+                    args = " ".join(arguments)
+                    logger.info(f"FFmpeg command:{args}")
+
+            @ffmpeg_cmd.on("progress")
+            def on_progress(progress):
+                logger.info(f"处理进度: {progress}")
+
+            @ffmpeg_cmd.on("completed")
+            def on_completed():
+                logger.info(f"FFMpeg task completed.")
+
+            @ffmpeg_cmd.on("stderr")
+            def on_stderr(line: str):
+                if line.startswith('Error'):
+                    logger.error(line)
+                    raise RuntimeError(line)
+                else:
+                    logger.warning(line)
+
+            ffmpeg_cmd.output(
+                output_filepath,
+                {
+                    "filter_complex": ";".join(filter_complex),
+                    "map": ["[vconcated]", "[aconcated]"],
+                    "vcodec": "libx264",
+                    "crf": 16,
+                    "r": 30,
+                    "acodec": "aac",
+                    "ar": 44100,
+                    "ac": 2,
+                    "ab": "192k",
+                },
+            )
+
+            await ffmpeg_cmd.execute()
+
+        fn_id = current_function_call_id()
+        cpu_freq, cpu_count, mem = capture_hardware_info()
+        total_mb = mem.total >> 20
+        available_mb = mem.available >> 20
+        logger.info((f"[{fn_id}] Current CPUs {cpu_count} * {cpu_freq.current / 1000:.2f} GHz"))
+        logger.info(f"Current Memories {available_mb} Mb / {total_mb} Mb | {mem.percent}% used")
+
+        if sentry_trace:
+            transaction = sentry_sdk.continue_trace(environ_or_headers={
+                "sentry-trace": sentry_trace.x_trace_id,
+                "baggage": sentry_trace.x_baggage,
+            })
+        else:
+            transaction = sentry_sdk.start_transaction(op='modal.function', name="Modal Function直接调用")
+            sentry_trace = SentryTransactionInfo(x_trace_id=sentry_sdk.get_traceparent(),
+                                                 x_baggage=sentry_sdk.get_baggage())
+
+        with transaction:
+            with transaction.start_child(op='ffmpeg.concat', name='视频合并任务') as span:
+                span.set_data('fn.id', fn_id)
+                span.set_data('cpu.count', cpu_count)
+                span.set_data('cpu.frequency', f"{cpu_freq.current / 1000:.2f} GHz")
+                span.set_data('memory.available', f"{total_mb} Mb")
+                output_path = f"{output_path_prefix}/concat/outputs/{fn_id}/output.mp4"
+                await ffmpeg_process(medias, output_filepath=output_path)
+                s3_outputs = local_copy_to_s3([output_path])
+
+        return s3_outputs[0], sentry_trace
+
+
+    @app.function(
+        name="slice_media",
+        cpu=12, timeout=900, memory=(2048, 4096),
+        cloud="aws",
+        max_containers=config.ffmpeg_worker_concurrency,
+        volumes={
+            s3_mount: modal.CloudBucketMount(
+                bucket_name=config.s3_bucket_name,
+                secret=modal.Secret.from_name("aws-s3-secret",
+                                              environment_name=config.environment),
+            ),
+        },
+    )
+    @modal.concurrent(max_inputs=1)
+    async def ffmpeg_slice_media(media: MediaSource,
+                                 markers: List[FFMpegSliceSegment],
+                                 sentry_trace: Optional[SentryTransactionInfo] = None) -> Tuple[
+        List[str], Optional[SentryTransactionInfo]]:
+
+        fn_id = current_function_call_id()
+        cpu_freq, cpu_count, mem = capture_hardware_info()
+        total_mb = mem.total >> 20
+        available_mb = mem.available >> 20
+        logger.info((f"[{fn_id}] Current CPUs {cpu_count} * {cpu_freq.current / 1000:.2f} GHz"))
+        logger.info(f"Current Memories {available_mb} Mb / {total_mb} Mb | {mem.percent}% used")
+
+        if sentry_trace:
+            transaction = sentry_sdk.continue_trace(environ_or_headers={"sentry-trace": sentry_trace.x_trace_id,
+                                                                        "baggage": sentry_trace.x_baggage, })
+        else:
+            transaction = sentry_sdk.start_transaction(op='modal.function', name="Modal Function直接调用")
+            sentry_trace = SentryTransactionInfo(x_trace_id=sentry_sdk.get_traceparent(),
+                                                 x_baggage=sentry_sdk.get_baggage())
+        with transaction:
+            with transaction.start_child(op='ffmpeg.slice', name='视频切割任务') as span:
+                span.set_data('fn.id', fn_id)
+                span.set_data('cpu.count', cpu_count)
+                span.set_data('cpu.frequency', f"{cpu_freq.current / 1000:.2f} GHz")
+                span.set_data('memory.available', f"{total_mb} Mb")
+                outputs = await ffmpeg_slice_process(media_source=media, media_markers=markers, fn_id=fn_id)
+
+        return outputs, sentry_trace
diff --git a/src/cluster/video_downloader/model.py b/src/cluster/video_downloader/model.py
index e23e427..32fa184 100644
--- a/src/cluster/video_downloader/model.py
+++ b/src/cluster/video_downloader/model.py
@@ -59,6 +59,13 @@ class MediaSource(BaseModel):
             ]
         }
 
+    def get_cdn_url(self) -> str:
+        if self.protocol == MediaProtocol.vod:
+            return f"{self.protocol.value}/{self.endpoint}/{self.bucket}/{self.url}.mp4"
+        elif self.protocol == MediaProtocol.s3:
+            return f"{self.url}"
+        return f"{self.protocol.value}/{self.endpoint}/{self.bucket}/{self.url}"
+
 
 class MediaSources(BaseModel):
     inputs: List[MediaSource] = Field(examples=[
@@ -101,3 +108,7 @@ class MediaCache(BaseModel):
 
 class CacheResult(BaseModel):
     caches: Dict[str, MediaCache] = Field(description="Cache ID")
+
+
+class DownloadResult(BaseModel):
+    urls: List[str] = Field(description="下载链接")
diff --git a/src/cluster/video_downloader/worker.py b/src/cluster/video_downloader/worker.py
index eb26a87..c5b5334 100644
--- a/src/cluster/video_downloader/worker.py
+++ b/src/cluster/video_downloader/worker.py
@@ -1,26 +1,23 @@
 import modal
-from src.cluster.config import config
 
 downloader_image = (
     modal.Image
     .debian_slim(python_version="3.11")
     .pip_install('httpx', 'cos-python-sdk-v5', 'loguru', 'pydantic', 'pydantic_settings', 'sentry-sdk[loguru]',
                  'tqdm', 'crcmod', 'tencentcloud-sdk-python-common', 'tencentcloud-sdk-python-vod')
+    .add_local_python_source("src.cluster.config", copy=True)
     .add_local_python_source("src.cluster.video_downloader.model", copy=True)
     .add_local_python_source("src.cluster.web.model", copy=True)
     .add_local_python_source("src.cluster.config", copy=True)
 )
 
-worker_app = modal.App("video-downloader-worker", image=downloader_image, secrets=[
-    modal.Secret.from_name("cf-kv-secret", environment_name=config.environment),
-])
-
 with downloader_image.imports():
     import os, httpx, crcmod
     from tqdm import tqdm
     from typing import Tuple, Dict
     from loguru import logger
     from modal import current_function_call_id
+    from src.cluster.config import config
     from src.cluster.video_downloader.model import MediaSource, MediaCacheStatus, MediaCache, MediaProtocol
     from src.cluster.web.model import SentryTransactionInfo
     from datetime import datetime, UTC, timedelta
@@ -28,6 +25,11 @@ with downloader_image.imports():
     from tencentcloud.vod.v20180717.vod_client import VodClient
     from tencentcloud.vod.v20180717 import models as vod_request_models
     import sentry_sdk
+    from sentry_sdk.integrations.loguru import LoguruIntegration
+
+    worker_app = modal.App(image=downloader_image, secrets=[
+        modal.Secret.from_name("cf-kv-secret", environment_name=config.environment),
+    ])
 
     sentry_sdk.init(dsn="https://85632fdcd62f699c2f88af6ca489e9ec@sentry.bowongai.com/3",
                     send_default_pii=True,
@@ -35,6 +37,7 @@ with downloader_image.imports():
                     profiles_sample_rate=1.0,
                     add_full_stack=True,
                     shutdown_timeout=2,
+                    integrations=[LoguruIntegration()],
                     environment=config.environment,
                     )
 
@@ -217,8 +220,8 @@ with downloader_image.imports():
                                         create_if_missing=True)
         fn_id = current_function_call_id()
 
-        with sentry_sdk.continue_trace(environ_or_headers={"sentry-trace": sentry_trace.trace_id,
-                                                           "baggage": sentry_trace.baggage, }) as transaction:
+        with sentry_sdk.continue_trace(environ_or_headers={"sentry-trace": sentry_trace.x_trace_id,
+                                                           "baggage": sentry_trace.x_baggage, }) as transaction:
             transaction.set_context("runtime_environment", {
                 "MODAL_CLOUD_PROVIDER": os.environ.get('MODAL_CLOUD_PROVIDER', 'unknown'),
                 "MODAL_ENVIRONMENT": os.environ.get('MODAL_ENVIRONMENT', 'unknown'),
diff --git a/src/cluster/web/model.py b/src/cluster/web/model.py
index 727d632..2be4e33 100644
--- a/src/cluster/web/model.py
+++ b/src/cluster/web/model.py
@@ -1,15 +1,18 @@
 from enum import Enum
 from typing import List, Union, Any, Optional
-
-from pydantic import BaseModel, Field, field_validator
-
+from pydantic import BaseModel, Field, field_validator, ConfigDict
 from src.cluster.ffmpeg_worker.model import FFMpegSliceSegment
-from src.cluster.video_downloader.model import MediaSource
+from src.cluster.video_downloader.model import MediaSource, MediaSources
+
+
+class SentryTransactionHeader(BaseModel):
+    x_trace_id: Optional[str] = Field(description="Sentry Transaction ID", default=None)
+    x_baggage: Optional[str] = Field(description="Sentry Transaction baggage", default=None)
 
 
 class SentryTransactionInfo(BaseModel):
-    trace_id: str = Field(description="Sentry Transaction ID")
-    baggage: str = Field(description="Sentry Transaction baggage")
+    x_trace_id: str = Field(description="Sentry Transaction ID")
+    x_baggage: str = Field(description="Sentry Transaction baggage")
 
 
 class FFMPEGSliceRequest(BaseModel):
@@ -27,12 +30,12 @@ class FFMPEGSliceRequest(BaseModel):
             raise TypeError(v)
 
 
-class FFMPEGSliceResponse(BaseModel):
-    success: bool = Field(description="任务创建成功与否")
+class FFMPEGSliceTaskStatusRequest(BaseModel):
     taskId: str = Field(description="任务Id")
 
 
-class FFMPEGSliceTaskStatusRequest(BaseModel):
+class ModalTaskResponse(BaseModel):
+    success: bool = Field(description="任务接受成功")
     taskId: str = Field(description="任务Id")
 
 
@@ -43,7 +46,16 @@ class TaskStatus(str, Enum):
     expired = "expired"
 
 
-class FFMPEGSliceTaskStatusResponse(BaseModel):
+class BaseFFMPEGTaskStatusResponse(BaseModel):
     taskId: str = Field(description="任务Id")
     status: TaskStatus = Field(description="任务运行状态")
+    error: Optional[str] = Field(description="任务错误原因", default=None)
+
+    model_config = ConfigDict(extra='ignore')
+
+
+class FFMPEGSliceTaskStatusResponse(BaseFFMPEGTaskStatusResponse):
     result: Optional[List[str]] = Field(default=None, description="任务运行结果")
+
+class FFMPEGConcatTaskStatusResponse(BaseFFMPEGTaskStatusResponse):
+    result: Optional[str] = Field(default=None, description="任务运行结果")
\ No newline at end of file
diff --git a/src/cluster/web/worker.py b/src/cluster/web/worker.py
index 0ebb15d..efb49cc 100644
--- a/src/cluster/web/worker.py
+++ b/src/cluster/web/worker.py
@@ -1,5 +1,4 @@
 import modal
-from src.cluster.config import config
 
 fastapi_image = (
     modal.Image
@@ -11,9 +10,31 @@ fastapi_image = (
     .add_local_python_source("src.cluster.config", copy=True)
 )
 
-fastapi_app = modal.App("video-downloader-web", image=fastapi_image)
-
 with fastapi_image.imports():
+    import os
+    import httpx
+    from typing import Dict, List, Annotated, Tuple, Any, Optional
+    from modal import current_function_call_id
+    from modal.call_graph import InputStatus
+    from loguru import logger
+    from fastapi import FastAPI, Response, Depends, Header
+    from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
+    from fastapi.responses import JSONResponse, RedirectResponse
+    from fastapi.exceptions import HTTPException
+    from starlette import status
+    from scalar_fastapi import get_scalar_api_reference
+    import sentry_sdk
+    from sentry_sdk.integrations.loguru import LoguruIntegration
+    from sentry_sdk.integrations.loguru import LoggingLevels
+    from sentry_sdk.integrations.fastapi import FastApiIntegration
+    from src.cluster.config import config
+    from src.cluster.video_downloader.model import MediaSource, MediaSources, MediaCacheStatus, MediaCache, \
+        CacheResult, DownloadResult
+    from src.cluster.web.model import SentryTransactionInfo, SentryTransactionHeader, FFMPEGSliceRequest, \
+        FFMPEGSliceTaskStatusResponse, FFMPEGConcatTaskStatusResponse, TaskStatus, ModalTaskResponse
+
+    fastapi_app = modal.App(image=fastapi_image)
+
     @fastapi_app.function(scaledown_window=60,
                           secrets=[
                               modal.Secret.from_name("cf-kv-secret", environment_name=config.environment),
@@ -21,26 +42,6 @@ with fastapi_image.imports():
     @modal.concurrent(max_inputs=100)
     @modal.asgi_app()
     def fastapi_webapp():
-        import os
-        import httpx
-        from typing import Dict, List
-        from modal import current_function_call_id
-        from loguru import logger
-        from fastapi import FastAPI, Request, Depends
-        from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
-        from fastapi.responses import JSONResponse
-        from fastapi.exceptions import HTTPException
-        from fastapi.encoders import jsonable_encoder
-        from starlette import status
-        from scalar_fastapi import get_scalar_api_reference
-        import sentry_sdk
-        from sentry_sdk.integrations.loguru import LoguruIntegration
-        from sentry_sdk.integrations.loguru import LoggingLevels
-        from sentry_sdk.integrations.fastapi import FastApiIntegration
-        from src.cluster.video_downloader.model import MediaSources, MediaCacheStatus, MediaCache, CacheResult
-        from src.cluster.web.model import SentryTransactionInfo, FFMPEGSliceRequest, FFMPEGSliceResponse, \
-            FFMPEGSliceTaskStatusRequest, FFMPEGSliceTaskStatusResponse, TaskStatus
-
         bearer_scheme = HTTPBearer()
 
         web_app = FastAPI(title="Modal worker API",
@@ -82,6 +83,21 @@ with fastapi_image.imports():
         cf_kv_api_token = os.environ.get("CF_KV_API_TOKEN")
         cf_kv_namespace_id = os.environ.get("CF_KV_NAMESPACE_ID")
 
+        sentry_header_schema = {
+            "x-trace-id": {
+                "description": "Sentry Transaction ID",
+                "schema": {
+                    "type": "string",
+                }
+            },
+            "x-baggage": {
+                "description": "Sentry Transaction baggage",
+                "schema": {
+                    "type": "string",
+                }
+            }
+        }
+
         @sentry_sdk.trace
         def batch_update_cloudflare_kv(caches: Dict[str, MediaCache]):
             with httpx.Client() as client:
@@ -129,11 +145,53 @@ with fastapi_image.imports():
                     logger.error(f"An unexpected error occurred: {str(e)}")
                     raise e
 
+        @sentry_sdk.trace
+        async def get_modal_task_status(task_id: str) -> Tuple[
+            TaskStatus, Optional[str], Optional[Any], Optional[SentryTransactionInfo]]:
+            """
+
+            :param task_id:
+            :return: (TaskStaus, errorReason, results, sentryTransactionInfo)
+            """
+
+            try:
+                fn_task = modal.FunctionCall.from_id(task_id)
+                call_graph = fn_task.get_call_graph()
+                task = call_graph[0]
+                match task.status:
+                    case InputStatus.PENDING:
+                        return TaskStatus.running, None, None, None
+                    case InputStatus.SUCCESS:
+                        try:
+                            results, sentry_trace = fn_task.get(timeout=2)
+                            return TaskStatus.success, None, results, sentry_trace
+                        except modal.exception.OutputExpiredError:
+                            return TaskStatus.expired, None, None, None
+                        except TimeoutError:
+                            return TaskStatus.running, None, None, None
+                        except Exception as e:
+                            logger.error(e)
+                            return TaskStatus.failed, None, None, None
+                    case _:
+                        error = 'FAILURE'
+                        match task.status:
+                            case InputStatus.INIT_FAILURE:
+                                error = 'INIT_FAILURE'
+                            case InputStatus.TERMINATED:
+                                error = 'TERMINATED'
+                            case InputStatus.TIMEOUT:
+                                error = 'TIMEOUT'
+                        return TaskStatus.failed, error, None, None
+            except Exception as e:
+                logger.exception(e)
+                raise RuntimeError("Modal task status check failed")
+
         @web_app.get("/scalar", include_in_schema=False)
         async def scalar():
             return get_scalar_api_reference(openapi_url=web_app.openapi_schema, title="Modal worker web endpoint")
 
         @web_app.post("/cache",
+                      tags=["缓存"],
                       summary="缓存视频文件",
                       description="异步缓存视频文件到S3存储桶和Modal Dict(KV)",
                       dependencies=[Depends(verify_token)])
@@ -142,8 +200,8 @@ with fastapi_image.imports():
             fn_id = current_function_call_id()
             caches: Dict[str, MediaCache] = {}
             parent = sentry_sdk.get_current_span()
-            sentry_trace = SentryTransactionInfo(trace_id=sentry_sdk.get_traceparent(),
-                                                 baggage=sentry_sdk.get_baggage())
+            sentry_trace = SentryTransactionInfo(x_trace_id=sentry_sdk.get_traceparent(),
+                                                 x_baggage=sentry_sdk.get_baggage())
             for media in medias.inputs:
                 with parent.start_child(name="同步视频缓存", op="cache.get") as cache_span:
                     cache_span.set_data("runner_id", fn_id)
@@ -156,7 +214,7 @@ with fastapi_image.imports():
                         # start new download task
                         with cache_span.start_child(name="视频缓存任务入队",
                                                     op="queue.publish") as queue_publish_span:
-                            fn = modal.Function.from_name('video-downloader', 'cache_submit')
+                            fn = modal.Function.from_name(config.app_name, 'cache_submit')
                             fn_task = fn.spawn(media, sentry_trace)
                             queue_publish_span.set_data("cache.key", media.cache_key)
                             queue_publish_span.set_data("messaging.message.id", fn_task.object_id)
@@ -178,7 +236,7 @@ with fastapi_image.imports():
                             # start new download task
                             with cache_span.start_child(name="视频缓存任务入队",
                                                         op="queue.publish") as queue_publish_span:
-                                fn = modal.Function.from_name('video-downloader', 'cache_submit')
+                                fn = modal.Function.from_name(config.app_name, 'cache_submit')
                                 fn_task = fn.spawn(media, sentry_trace)
                                 queue_publish_span.set_data("cache.key", media.cache_key)
                                 queue_publish_span.set_data("messaging.message.id", fn_task.object_id)
@@ -197,7 +255,31 @@ with fastapi_image.imports():
             return CacheResult(caches=caches)
             # return JSONResponse(content={"caches": jsonable_encoder(caches)})
 
+        @web_app.post("/cache/download",
+                      tags=["缓存"],
+                      summary="批量获取下载地址",
+                      description="获取已缓存的视频下载地址",
+                      dependencies=[Depends(verify_token)])
+        @sentry_sdk.trace
+        async def download_caches(medias: MediaSources) -> DownloadResult:
+            cdn_endpoint = config.cdn_endpoint
+            urls = []
+            for media in medias.inputs:
+                urls.append(f"{cdn_endpoint}/{media.get_cdn_url()}")
+            return DownloadResult(urls=urls)
+
+        @web_app.get("/cache/download",
+                     tags=["缓存"],
+                     summary="下载已缓存的视频",
+                     description="通过CDN下载已缓存的视频文件")
+        @sentry_sdk.trace
+        async def download_cache(media: str) -> RedirectResponse:
+            cdn_endpoint = config.cdn_endpoint
+            media = MediaSource.from_str(media)
+            return RedirectResponse(url=f"{cdn_endpoint}/{media.get_cdn_url()}", status_code=status.HTTP_302_FOUND)
+
         @web_app.delete("/cache/kv",
+                        tags=["缓存"],
                         summary="清除KV记录",
                         description="清除当前环境下KV缓存过的所有数据(S3存储桶内的文件会保留)",
                         dependencies=[Depends(verify_token)])
@@ -210,6 +292,7 @@ with fastapi_image.imports():
             return JSONResponse(content={"success": True})
 
         @web_app.post("/cache/kv",
+                      tags=["缓存"],
                       summary="删除对应的KV记录",
                       description="删除请求中对应的视频缓存记录",
                       dependencies=[Depends(verify_token)])
@@ -224,6 +307,7 @@ with fastapi_image.imports():
                 return JSONResponse(content={"success": False, "error": str(e)})
 
         @web_app.post("/cache/media",
+                      tags=["缓存"],
                       summary="清除指定的所有缓存",
                       description="清除指定的所有缓存(包括KV记录和S3存储文件)",
                       dependencies=[Depends(verify_token)])
@@ -233,7 +317,7 @@ with fastapi_image.imports():
                 try:
                     cache_data_json = media_cache_kv.pop(media.cache_key)
                     cache_data = MediaCache.model_validate_json(cache_data_json)
-                    fn = modal.Function.from_name("video-downloader", "cache_delete",
+                    fn = modal.Function.from_name(config.app_name, "cache_delete",
                                                   environment_name=config.environment)
                     deleted_cache = await fn.remote.aio(cache_data)
                     caches[media.cache_key] = deleted_cache
@@ -245,37 +329,70 @@ with fastapi_image.imports():
             batch_remove_cloudflare_kv(keys)
             return JSONResponse(content={"success": True, "keys": keys})
 
-        @web_app.post("/merge",
-                      summary="发起合成任务",
-                      description="开发中",
+        @web_app.post("/ffmpeg/slice",
+                      tags=["发起任务"],
+                      summary="发起切割任务",
+                      description="依据打点信息切出多个片段",
                       dependencies=[Depends(verify_token)])
-        async def merge_media(request: Request):
-            body_json = await request.json()
-            return JSONResponse(content={"success": False, "message": "Not Implemented"})
+        async def slice_media(request: FFMPEGSliceRequest,
+                              headers: Annotated[SentryTransactionHeader, Header()]) -> ModalTaskResponse:
 
-        @web_app.post("/ffmpeg/slice", summary="发起切割任务", description="依据打点信息切出多个片段",
-                      dependencies=[Depends(verify_token)])
-        async def slice_media(request: FFMPEGSliceRequest):
-            fn = modal.Function.from_name("video-downloader", "ffmpeg_slice_media", environment_name=config.environment)
-            fn_call = fn.spawn(request.media, request.markers)
-            return FFMPEGSliceResponse(success=True, taskId=fn_call.object_id)
+            fn = modal.Function.from_name(config.app_name, "ffmpeg_slice_media", environment_name=config.environment)
+            sentry_trace = None
+            if headers.x_trace_id and headers.x_baggage:
+                sentry_trace = SentryTransactionInfo(x_trace_id=headers.x_trace_id, x_baggage=headers.x_baggage)
+            fn_call = fn.spawn(request.media, request.markers, sentry_trace)
+            return ModalTaskResponse(success=True, taskId=fn_call.object_id)
 
-        @web_app.get("/ffmpeg/slice/{task_id}", summary="查询切割任务状态/结果", description="根据任务Id查询运行状态",
+        @web_app.get("/ffmpeg/slice/{task_id}",
+                     tags=["查询任务"],
+                     summary="查询切割任务状态/结果",
+                     description="根据任务Id查询运行状态",
+                     responses={
+                         status.HTTP_200_OK: {
+                             "description": "",
+                             "headers": sentry_header_schema
+                         },
+                     },
                      dependencies=[Depends(verify_token)])
-        async def slice_media(task_id: str):
-            try:
-                fn_task = modal.FunctionCall.from_id(task_id)
-                try:
-                    results: List[str] = fn_task.get(timeout=2)
-                    return FFMPEGSliceTaskStatusResponse(taskId=task_id, status=TaskStatus.success, result=results)
-                except modal.exception.OutputExpiredError:
-                    return FFMPEGSliceTaskStatusResponse(taskId=task_id, status=TaskStatus.expired)
-                except TimeoutError:
-                    return FFMPEGSliceTaskStatusResponse(taskId=task_id, status=TaskStatus.running)
-                except Exception as e:
-                    logger.error(e)
-                    return FFMPEGSliceTaskStatusResponse(taskId=task_id, status=TaskStatus.failed)
-            except Exception as e:
-                return JSONResponse(content={"success": False, "message": "任务Id不存在"}, status_code=400)
+        async def slice_media(task_id: str, response: Response) -> FFMPEGSliceTaskStatusResponse:
+            task_status, reason, results, transaction = await get_modal_task_status(task_id)
+            if transaction:
+                response.headers["x-trace-id"] = transaction.x_trace_id
+                response.headers["x-baggage"] = transaction.x_baggage
+            return FFMPEGSliceTaskStatusResponse(taskId=task_id, status=TaskStatus.failed, error=reason)
+
+        @web_app.post("/ffmpeg/concat",
+                      tags=["发起任务"],
+                      summary="发起合并任务",
+                      description="依据AI分析的结果发起合并任务",
+                      dependencies=[Depends(verify_token)])
+        async def concat_media(medias: MediaSources,
+                               headers: Annotated[SentryTransactionHeader, Header()]) -> ModalTaskResponse:
+            fn = modal.Function.from_name(config.app_name, "ffmpeg_concat_medias",
+                                          environment_name=config.environment)
+            sentry_trace = None
+            if headers.x_trace_id and headers.x_baggage:
+                sentry_trace = SentryTransactionInfo(x_trace_id=headers.x_trace_id, x_baggage=headers.x_baggage)
+            fn_call = fn.spawn(medias, sentry_trace)
+            return ModalTaskResponse(success=True, taskId=fn_call.object_id)
+
+        @web_app.get("/ffmpeg/concat/{task_id}",
+                     tags=["查询任务"],
+                     summary="获取合并任务结果",
+                     description="获取合并任务的处理状态和结果",
+                     responses={
+                         status.HTTP_200_OK: {
+                             "description": "",
+                             "headers": sentry_header_schema
+                         },
+                     },
+                     dependencies=[Depends(verify_token)])
+        async def concat_media_status(task_id: str, response: Response) -> FFMPEGConcatTaskStatusResponse:
+            task_status, reason, results, transaction = await get_modal_task_status(task_id)
+            if transaction:
+                response.headers["x-trace-id"] = transaction.x_trace_id
+                response.headers["x-baggage"] = transaction.x_baggage
+            return FFMPEGConcatTaskStatusResponse(taskId=task_id, status=task_status, error=reason, result=results)
 
         return web_app
diff --git a/uv.lock b/uv.lock
index fd0dcff..226751f 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2,6 +2,92 @@ version = 1
 revision = 1
 requires-python = ">=3.11"
 
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.6.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265 },
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.11.18"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "aiohappyeyeballs" },
+    { name = "aiosignal" },
+    { name = "attrs" },
+    { name = "frozenlist" },
+    { name = "multidict" },
+    { name = "propcache" },
+    { name = "yarl" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/63/e7/fa1a8c00e2c54b05dc8cb5d1439f627f7c267874e3f7bb047146116020f9/aiohttp-3.11.18.tar.gz", hash = "sha256:ae856e1138612b7e412db63b7708735cff4d38d0399f6a5435d3dac2669f558a", size = 7678653 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2f/10/fd9ee4f9e042818c3c2390054c08ccd34556a3cb209d83285616434cf93e/aiohttp-3.11.18-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:427fdc56ccb6901ff8088544bde47084845ea81591deb16f957897f0f0ba1be9", size = 712088 },
+    { url = "https://files.pythonhosted.org/packages/22/eb/6a77f055ca56f7aae2cd2a5607a3c9e7b9554f1497a069dcfcb52bfc9540/aiohttp-3.11.18-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2c828b6d23b984255b85b9b04a5b963a74278b7356a7de84fda5e3b76866597b", size = 471450 },
+    { url = "https://files.pythonhosted.org/packages/78/dc/5f3c0d27c91abf0bb5d103e9c9b0ff059f60cf6031a5f06f456c90731f42/aiohttp-3.11.18-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5c2eaa145bb36b33af1ff2860820ba0589e165be4ab63a49aebfd0981c173b66", size = 457836 },
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 name = "modaldeploy"
 version = "0.2.0"
 source = { virtual = "." }
 dependencies = [
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     { name = "boto3" },
     { name = "cos-python-sdk-v5" },
     { name = "crcmod" },
+    { name = "fastapi", extra = ["standard"] },
     { name = "httpx" },
     { name = "loguru" },
+    { name = "modal" },
+    { name = "psutil" },
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     { name = "pydantic-settings" },
     { name = "python-ffmpeg" },
@@ -230,11 +667,15 @@ dependencies = [
 
 [package.metadata]
 requires-dist = [
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     { name = "boto3", specifier = ">=1.37.37" },
     { name = "cos-python-sdk-v5", specifier = ">=1.9.36" },
     { name = "crcmod", specifier = ">=1.7" },
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     { name = "loguru", specifier = ">=0.7.3" },
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     { name = "pydantic-settings", specifier = ">=2.9.1" },
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@@ -247,6 +688,185 @@ requires-dist = [
     { name = "webvtt-py", specifier = ">=0.5.1" },
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