diff --git a/.env.example b/.env.example
index 2cf2734..e8f5d00 100644
--- a/.env.example
+++ b/.env.example
@@ -14,9 +14,4 @@ LANGSMITH_API_KEY=lsv2....  # LangSmith API key (must be replaced with real key)
 # You can get it from the OpenAI website (https://platform.openai.com/).
 OPENAI_API_KEY=sk...
 
-## Groq
-# Groq API Key - used to access Groq LLMs such as Mixtral or LLaMA models.
-# Sign up and get your key from https://console.groq.com/keys
-GROQ_API_KEY=grq...
-
 # Others...
\ No newline at end of file
diff --git a/agents/management/modules/state.py b/agents/management/modules/state.py
index 8799502..9ae62c1 100644
--- a/agents/management/modules/state.py
+++ b/agents/management/modules/state.py
@@ -22,9 +22,10 @@ class ManagementState(TypedDict):
     project_id: str  # 프로젝트 ID (예: "PRJ-2023-001", "EP-MARVEL-S01")
     request_type: str  # 요청 유형 (예: "resource_allocation", "team_management", "creator_development")
     query: str  # 사용자 쿼리 또는 요청사항
+    response: Annotated[
+        list, add_messages
+    ]
     team_members: Optional[List[str]] = None  # 팀 구성원 목록
     resources_available: Optional[Dict[str, any]] = None  # 사용 가능한 리소스 정보
     resource_plan: Optional[str] = None  # 리소스 계획 콘텐츠
-    response: Annotated[
-        list, add_messages
-    ]  # 응답 메시지 목록 (add_messages로 주석되어 메시지 추가 기능 제공)
+      # 응답 메시지 목록 (add_messages로 주석되어 메시지 추가 기능 제공)
diff --git a/agents/music/modules/models.py b/agents/music/modules/models.py
index b94ad2d..24003b2 100644
--- a/agents/music/modules/models.py
+++ b/agents/music/modules/models.py
@@ -2,9 +2,19 @@
 
 기본적으로 사용할 모델 인스턴스를 설정하고 생성하고 반환시킵니다.
 """
-
 from langchain_openai import ChatOpenAI
 
+from google import genai
+from googleapiclient.discovery import build
+from dotenv import load_dotenv
+import os 
+
+load_dotenv()
+
+YOUTUBE_API_SERVICE_NAME = os.getenv("YOUTUBE_API_SERVICE_NAME")
+YOUTUBE_API_VERSION = os.getenv("YOUTUBE_API_VERSION")
+YOUTUBE_API_KEY = os.getenv("YOUTUBE_API_KEY")
+GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")
 
 def get_openai_model(temperature=0.7, top_p=0.9):
     """
@@ -16,4 +26,37 @@ def get_openai_model(temperature=0.7, top_p=0.9):
         ChatOpenAI: 초기화된 OpenAI 모델 인스턴스
     """
     # OpenAI 모델 초기화 및 반환
-    return ChatOpenAI(model="gpt-4o-mini", temperature=temperature, top_p=top_p)
+    return ChatOpenAI(model="gpt-4o-mini", 
+                      temperature=temperature, 
+                      top_p=top_p,
+                      )
+
+def get_youtube_client():
+    """
+    Youtube 영상 검색 API에 사용하기 위한 client, 즉 서비스 객체를 제작합니다.
+
+    환경변수에서 YOUTUBE_API_KEY, YOUTUBE_API_SERVICE_NAME, 
+    YOUTUBE_API_VERSION을 가져와 사용하기 때문에, .env 파일에 유효한 
+    API 키가 설정되어 있어야 합니다.
+
+    Returns:
+        build: 초기화된 youtube client 인스턴스
+    """
+    return build(YOUTUBE_API_SERVICE_NAME, YOUTUBE_API_VERSION,
+                        developerKey = YOUTUBE_API_KEY)
+
+def get_gemini_client():
+    """
+    LangChain에서 사용할 Gemini client을 초기화하여 반환합니다.
+
+    환경변수에서 GEMINI_API_KEY를 가져와 사용하기 때문에, 
+    .env 파일에 유효한 API 키가 설정되어 있어야 합니다.
+
+    노드에서 Gemini 모델을 사용할 때 모델명을 따로 정의해줘야 합니다.
+
+    Returns:
+        genai.Client: 초기화된 Gemini client 인스턴스
+    """
+    #Gemini 모델 초기화 및 반환
+    return genai.Client(api_key = GEMINI_API_KEY)
+
diff --git a/agents/music/modules/nodes.py b/agents/music/modules/nodes.py
index 5060e09..cd88235 100644
--- a/agents/music/modules/nodes.py
+++ b/agents/music/modules/nodes.py
@@ -4,7 +4,190 @@
 해당 클래스 모듈은 각각 노드 클래스가 BaseNode를 상속받아 노드 클래스를 구현하는 모듈입니다.
 """
 
-# from agents.base_node import BaseNode
+from agents.base_node import BaseNode
+from agents.music.modules.prompts import get_lyric_template, get_diary_template, get_query_extraction_template, get_youtube_analysis_template
+from agents.music.modules.state import MusicState
+from agents.music.modules.models import get_openai_model, get_gemini_client, get_youtube_client
+from agents.music.modules.tools.weather import WeatherService
+from google import genai
+
+
+class DiaryGenerationNode(BaseNode):
+    """
+    일기 생성 노드
+    """
+    
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+        self.model = get_openai_model()
+
+    def execute(self, state) -> dict:
+        """
+        일기 생성 노드 실행
+        """
+        self.logging("execute", input_state=state)
+        first_prompt = get_diary_template().format(query=state["diary_query"])
+        diary_topic_response = self.model.invoke(first_prompt)
+        diary_topic_response = diary_topic_response.text()
+        
+        second_prompt = get_query_extraction_template().format(query=state["diary_query"])
+        messages = [
+            {
+                "role" : "user",
+                "content" : first_prompt,
+            },
+            {
+                "role" : "assistant",
+                "content" : diary_topic_response,
+            },
+            {
+                "role" : "user",
+                "content" : second_prompt,
+            }
+        ]
+        query_response = self.model.invoke(messages)
+        query_response = query_response.text()
+
+        return {"youtube_query" : query_response}
+
+    def __call__(self, state):
+        """
+        노드를 함수처럼 호출 가능하게 만드는 메서드
+        """
+        return self.execute(state)
+
+
+class YoutubeSearchNode(BaseNode):
+    """
+    유튜브 영상을 찾는 노드
+    """
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+        self.model = get_youtube_client()
+
+    def execute(self, state : MusicState) -> dict:
+        """
+        유튜브 영상 검색 노드 실행
+        """
+        self.logging("execute", input_state = state)
+        prompt = state["youtube_query"]
+        max_results = 1
+
+        search_response = self.model.search().list(
+            q = prompt,
+            part = "id", #영상 식별만 하면 돼서 id로 검색
+            type = "video", # 영상만 검색
+            order = "relevance", # 관련성 기준으로 정렬
+            maxResults = max_results
+        ).execute()
+
+        videos = []
+        # 검색 결과 파싱
+        for item in search_response.get('items', []):
+            video_id = str(item['id']['videoId'])
+            videos.append("https://www.youtube.com/watch?v=" + video_id)
+        
+        return {"video_url" : videos[0]}
+
+    def __call__(self, state):
+        """
+        노드를 함수처럼 호출 가능하게 만드는 메서드
+        """
+        return self.execute(state)
+
+
+class YoutubeAnalysisNode(BaseNode):
+    """
+    유튜브 영상을 분석하는 노드
+    """
+
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+        self.model = get_gemini_client()
+
+    def execute(self, state : MusicState) -> dict:
+        """
+        유튜브 영상 분석 노드 실행
+        """
+        self.logging("execute", input_state = state)
+        prompt = get_youtube_analysis_template().format(query=state["diary_query"])
+        video_link = state["video_url"]
+        response = self.model.models.generate_content(
+            model='models/gemini-2.0-flash',
+            contents = genai.types.Content(
+            parts = [
+                genai.types.Part(
+                    file_data = genai.types.FileData(file_uri = video_link)
+                    ),
+                    genai.types.Part(text = prompt)
+                ]
+            )
+        )
+        return {"video_analysis" : response.text}
+
+    def __call__(self, state):
+        """
+        노드를 함수처럼 호출 가능하게 만드는 메서드
+        """
+        return self.execute(state)
+    
+
+class LyricGenerationNode(BaseNode):
+    """
+    가사 생성 노드
+    """
+
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+        self.model = get_openai_model()
+    
+    def execute(self, state: MusicState) -> dict:
+        """
+        가사 생성 노드 실행
+        """
+        self.logging("execute", input_state=state)
+        prompt = get_lyric_template().format(
+            # query=state["lyric_query"], 
+            query=state["youtube_query"], 
+            weather_info=state["weather_info"], 
+            video_analysis=state["video_analysis"]
+        )
+        response = self.model.invoke(prompt)
+        # return {"response": response, "query": state["lyric_query"]}
+        return {"response": response}
+
+    def __call__(self, state: MusicState) -> dict:
+        """
+        노드를 함수처럼 호출 가능하게 만드는 메서드
+        """
+        return self.execute(state)
+    
+
+class WeatherGenerationNode(BaseNode):
+    """
+    날씨 정보 생성 노드
+    """
+
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+        self.weather_service = WeatherService()
+
+    def execute(self, state: MusicState) -> dict:
+        """
+        날씨 정보 생성 노드 실행
+        """
+        self.logging("execute", input_state=state)
+        
+        # 날씨 정보 가져오기
+        weather_info = self.weather_service.get_current_weather() 
+        return {"weather_info": weather_info}
+
+    def __call__(self, state: MusicState) -> dict:
+        """
+        노드를 함수처럼 호출 가능하게 만드는 메서드
+        """
+        return self.execute(state)
+
 
 # from agents.music.modules.chains import set_music_generation_chain
 
diff --git a/agents/music/modules/prompts.py b/agents/music/modules/prompts.py
new file mode 100644
index 0000000..48a0bb6
--- /dev/null
+++ b/agents/music/modules/prompts.py
@@ -0,0 +1,113 @@
+"""프롬프트 템플릿을 생성하는 함수 모듈
+
+프롬프트 템플릿을 생성하는 함수 모듈을 구성합니다.
+기본적으로 PromptTemplate을 사용하여 프롬프트 템플릿을 생성하고 반환합니다.
+"""
+from langchain_core.prompts import PromptTemplate
+
+base_template = """
+
+당신은 싱어송라이터 인플루언서 **니제**입니다. 반드시 아래 인적 사항을 바탕으로 **오직 니제의 시선**으로 대답하세요.
+
+# 기본 인적 사항
+
+이름: 니제 (NEEDZE)
+나이: 22세
+성별: 여자
+직업: 싱어송라이터
+생일: 03월 03일 (0303)
+MBTI: ISTP
+주요 특징:
+- 취향이 확고하고 자기 주장이 뚜렷함
+- 귀여운 매력과 개성이 넘치며, 독창적인 스타일을 지님
+- 예술적 감각과 창의성을 중요시함
+"""
+
+lyric_template = base_template + """
+# 음악 스타일
+음악 장르:
+- 주요 장르: 앰비언트 포크, RnB, 드림팝, 베드룸 팝 +@
+- 특징: 감성을 담은 부드러운 사운드, 자연스러운 리듬, 공감각적 표현
+- 레퍼런스: fazerdaze, cigarette after sex, 뉴진스, 모임별, 검정치마(“201”, “피와 갈증”)
+
+가사 및 표현 스타일:
+- 내용: 일상 속 인간 관계, 연애 등에서 느낀 감정을 세밀하게 포착
+- 표현 방식: 시각적 색채와 촉각적 느낌을 결합해 감각적으로 전달
+- 레퍼런스: 이바다, 김사월, 신해경
+
+오늘의 날씨 : {weather_info}
+유투브 분석 내용 : {video_analysis}
+
+이제 다음 주제로 가사를 써줘: {query}
+"""
+
+
+
+diary_template = base_template + """"
+대화 시 반영:
+- 위의 모든 정보를 토대로, 니제의 정체성과 감성을 반영하여 대답해.
+- 음악, 패션, 예술, 감성 표현 및 창의적 사고를 자연스럽게 드러내.
+위의 지시사항을 토대로 너가 실제로 겪었을 만한 하루에 대해 일기를 작성해. 
+이때 일기는 사건만을 나열하기보다 사건과 이에 대해 너가 느낀 감정도 자세히 묘사하도록 해. 
+생성된 전체 일기 내용에 기반해서, 네 음악 스타일과 어울리는 노래 주제를 생성해.
+""" # 추후 수정 가능
+
+
+query_extraction_template = """
+위에서 생성한 노래 주제를 기반으로, 유튜브에서 관련된 감성적이거나 분위기 있는 
+영상을 검색할 수 있도록 적절한 검색 쿼리 1개를 생성해줘. 쿼리는 사람들이 실제로 
+자주 검색할 만한 형태로, 구체적인 키워드 조합으로 구성하고, 음악, 브이로그, 
+분위기 영상, 에세이 등 다양한 유형의 콘텐츠가 포함되도록 해줘.
+다른 설명은 붙이지 말고, 반드시 "쿼리"만 얘기해.
+"""
+
+
+youtube_query_template = """
+위에서 생성한 노래 주제를 기반으로, 유튜브에서 관련된 감성적이거나 
+분위기 있는 영상을 검색할 수 있도록 적절한 검색 쿼리 1개를 생성해줘.
+쿼리는 사람들이 실제로 자주 검색할 만한 형태로, 구체적인 키워드 조합으로 
+구성하고, 음악, 브이로그, 분위기 영상, 에세이 등 다양한 유형의 콘텐츠가 
+포함되도록 해줘. 다른 설명은 붙이지 말고, 반드시 "쿼리"만 얘기해.
+"""
+
+
+
+
+youtube_analysis_template = """
+This is youtube link url. Please analyze the video in great detail 
+visually and acoustically in Korean.
+"""
+
+
+
+
+def get_lyric_template() -> PromptTemplate:
+    """가사 템플릿 반환"""
+    return PromptTemplate(
+        template=lyric_template,
+        input_variables=["weather_info", "video_analysis", "query"],
+    )
+
+def get_diary_template() -> PromptTemplate:
+    """일기 템플릿 반환"""
+    return PromptTemplate(
+        template = diary_template,
+    )
+
+def get_query_extraction_template() -> PromptTemplate:
+    """유튜브 검색어 추출 템플리 반환"""
+    return PromptTemplate(
+        template = query_extraction_template,
+    )
+
+def get_youtube_query_template() -> PromptTemplate:
+    """유튜브 영상 검색어 반환"""
+    return PromptTemplate(
+        template = youtube_query_template,
+    )
+
+def get_youtube_analysis_template() -> PromptTemplate:
+    """유튜브 동영상 분석 내용 반환"""
+    return PromptTemplate(
+        template = youtube_analysis_template,
+    )
\ No newline at end of file
diff --git a/agents/music/modules/state.py b/agents/music/modules/state.py
index 5cf46f0..79fec91 100644
--- a/agents/music/modules/state.py
+++ b/agents/music/modules/state.py
@@ -9,7 +9,6 @@
 
 from dataclasses import dataclass
 from typing import Annotated, TypedDict
-
 from langgraph.graph.message import add_messages
 
 
@@ -22,7 +21,13 @@ class MusicState(TypedDict):
     LangGraph의 상태 관리를 위한 클래스로, Workflow 내에서 처리되는 데이터의 형태와 구조를 지정합니다.
     """
 
-    query: str  # 사용자 쿼리 또는 요청사항
+    diary_query: str
+    lyric_query: str
     response: Annotated[
         list, add_messages
     ]  # 응답 메시지 목록 (add_messages로 주석되어 메시지 추가 기능 제공)
+    weather_info: str # 날씨 정보 제공
+    youtube_query: str
+    video_url: str
+    video_analysis: str
+    aggregate: Annotated[list, add_messages]
\ No newline at end of file
diff --git a/agents/music/modules/tools/weather.py b/agents/music/modules/tools/weather.py
new file mode 100644
index 0000000..bd61432
--- /dev/null
+++ b/agents/music/modules/tools/weather.py
@@ -0,0 +1,242 @@
+"""
+날씨 정보를 가져오는 모듈
+
+기상청 API를 사용하여 현재 날씨 정보를 가져오고, 
+음악 생성에 활용할 수 있는 형태로 변환합니다.
+"""
+
+from datetime import datetime, timedelta
+import json
+import requests
+from typing import Dict, Any
+from dotenv import load_dotenv
+import os 
+
+load_dotenv()
+
+
+class WeatherService:
+    """
+    기상청 API를 사용하여 날씨 정보를 가져오는 서비스 클래스
+    """
+    
+    def __init__(self):
+        self.service_key = os.getenv("WEATHER_API_KEY")
+        self.base_url = "http://apis.data.go.kr/1360000/VilageFcstInfoService_2.0/getUltraSrtFcst"
+        self.numOfRows = '1000'
+        self.pageNO = '1'
+        self.dataType = 'JSON'
+
+        # 방위 코드 정의
+        self.deg_code = {
+            0: 'N', 360: 'N', 180: 'S', 270: 'W', 90: 'E', 22.5: 'NNE',
+            45: 'NE', 67.5: 'ENE', 112.5: 'ESE', 135: 'SE', 157.5: 'SSE',
+            202.5: 'SSW', 225: 'SW', 247.5: 'WSW', 292.5: 'WNW', 315: 'NW',
+            337.5: 'NNW'
+        }
+        
+        # 날씨 코드 정의
+        self.pty_code = {
+            0: '강수 없음', 1: '비', 2: '비/눈', 3: '눈', 
+            5: '빗방울눈날림', 6: '진눈깨비', 7: '눈날림'
+        }
+        self.sky_code = {1: '맑음', 3: '구름많음', 4: '흐림'}
+    
+    def deg_to_dir(self, deg: float) -> str:
+        """
+        각도를 방위로 변환
+        
+        Args:
+            deg: 각도 (0-360)
+            
+        Returns:
+            방위 문자열 (N, S, E, W, NE, SE, SW, NW 등)
+        """
+        close_dir = ''
+        min_abs = 360
+        if deg not in self.deg_code.keys():
+            for key in self.deg_code.keys():
+                if abs(key - deg) < min_abs:
+                    min_abs = abs(key - deg)
+                    close_dir = self.deg_code[key]
+        else:
+            close_dir = self.deg_code[deg]
+        return close_dir
+    
+    def get_weather_data(self, nx: str = '60', ny: str = '126') -> Dict[str, Any]:
+        """
+        기상청 API에서 날씨 데이터를 가져옵니다.
+        
+        Args:
+            nx: X 좌표 (기본값: 서울 용산구)
+            ny: Y 좌표 (기본값: 서울 용산구)
+            
+        Returns:
+            날씨 데이터 딕셔너리
+        """
+        # 현재 날짜와 시간 사용
+        now = datetime.now()
+        one_hour_ago = now - timedelta(hours=1)
+
+        base_date = now.strftime('%Y%m%d')
+        base_time = one_hour_ago.strftime('%H%M')
+        
+        # URL 생성
+        url = f"{self.base_url}?serviceKey={self.service_key}&numOfRows={self.numOfRows}&pageNo={self.pageNO}&dataType={self.dataType}&base_date={base_date}&base_time={base_time}&nx={nx}&ny={ny}"
+
+        try:
+            response = requests.get(url)
+            return json.loads(response.text)
+        except requests.RequestException as e:
+            print(f"날씨 API 요청 실패: {e}")
+            return {}
+        except json.JSONDecodeError as e:
+            print(f"JSON 파싱 실패: {e}")
+            return {}
+    
+    def parse_weather_data(self, weather_data: Dict[str, Any]) -> Dict[str, Dict[str, Any]]:
+        """
+        날씨 데이터를 시간대별로 파싱합니다.
+        
+        Args:
+            weather_data: API 응답 데이터
+            
+        Returns:
+            시간대별 날씨 정보 딕셔너리
+        """
+        informations = {}
+        
+        if 'response' not in weather_data or 'body' not in weather_data['response']:
+            return informations
+            
+        items = weather_data['response']['body']['items']['item']
+        
+        for item in items:
+            cate = item['category']
+            fcst_time = item['fcstTime']
+            fcst_value = item['fcstValue']
+            
+            if fcst_time not in informations:
+                informations[fcst_time] = {}
+            
+            informations[fcst_time][cate] = fcst_value
+        
+        return informations
+    
+    def format_weather_info(self, weather_info: Dict[str, Any], base_date: str, 
+                          fcst_time: str, nx: str, ny: str) -> str:
+        """
+        날씨 정보를 읽기 쉬운 형태로 포맷팅합니다.
+        
+        Args:
+            weather_info: 특정 시간의 날씨 정보
+            base_date: 기준 날짜
+            fcst_time: 예보 시간
+            nx: X 좌표
+            ny: Y 좌표
+            
+        Returns:
+            포맷팅된 날씨 정보 문자열
+        """
+        template = f"{base_date[:4]}년 {base_date[4:6]}월 {base_date[-2:]}일 {fcst_time[:2]}시 {fcst_time[2:]}분 ({int(nx)}, {int(ny)}) 지역의 날씨는 "
+        
+        # 하늘 상태
+        if 'SKY' in weather_info:
+            sky_temp = self.sky_code[int(weather_info['SKY'])]
+            template += sky_temp + " | "
+        
+        # 강수 형태
+        if 'PTY' in weather_info:
+            pty_temp = self.pty_code[int(weather_info['PTY'])]
+            template += pty_temp + " | "
+        
+        # 1시간 강수량
+        if 'RN1' in weather_info:
+            rn1_temp = weather_info['RN1']
+            template += f"시간당 {rn1_temp} | "
+        
+        # 기온
+        if 'T1H' in weather_info:
+            t1h_temp = float(weather_info['T1H'])
+            template += f"기온 {t1h_temp}°C | "
+        
+        # 습도
+        if 'REH' in weather_info:
+            reh_temp = float(weather_info['REH'])
+            template += f"습도 {reh_temp}% | "
+        
+        # 동서 바람 성분
+        if 'UUU' in weather_info:
+            uuu_temp = float(weather_info['UUU'])
+            template += f"동서 바람 성분 {uuu_temp}m/s | "
+        
+        # 남북 바람 성분
+        if 'VVV' in weather_info:
+            vvv_temp = float(weather_info['VVV'])
+            template += f"남북 바람 성분 {vvv_temp}m/s | "
+        
+        # 풍향
+        if 'VEC' in weather_info:
+            vec_temp = self.deg_to_dir(float(weather_info['VEC']))
+            template += f"풍향 {vec_temp} | "
+        
+        # 풍속
+        if 'WSD' in weather_info:
+            wsd_temp = weather_info['WSD']
+            template += f"풍속 {wsd_temp}m/s | "
+        
+        # 낙뢰
+        if 'LGT' in weather_info:
+            lgt_temp = weather_info['LGT']
+            template += f"낙뢰 {lgt_temp}kA"
+        
+        return template
+    
+    def get_current_weather(self, nx: str = '60', ny: str = '126') -> Dict[str, Any]:
+        """
+        현재 시간과 가장 가까운 날씨 정보를 가져옵니다.
+        
+        Args:
+            nx: X 좌표
+            ny: Y 좌표
+            
+        Returns:
+            현재 날씨 정보 딕셔너리
+        """
+        # 날씨 데이터 가져오기
+        weather_data = self.get_weather_data(nx, ny)
+        if not weather_data:
+            return {}
+        
+        # 시간대별로 파싱
+        informations = self.parse_weather_data(weather_data)
+        if not informations:
+            return {}
+        
+        # 현재 시간과 가장 가까운 예보 시간 찾기
+        now = datetime.now()
+        current_time = now.strftime('%H%M')
+        base_date = now.strftime('%Y%m%d')
+        
+        closest_time = min(informations.keys(), 
+                          key=lambda x: abs(int(x) - int(current_time)))
+        
+        # 해당 시간의 날씨 정보
+        current_weather = informations[closest_time]
+        
+        # 포맷팅된 문자열 생성
+        formatted_weather = self.format_weather_info(
+            current_weather, base_date, closest_time, nx, ny
+        )
+        
+        return {
+            'raw_data': current_weather,
+            'formatted_text': formatted_weather,
+            'temperature': float(current_weather.get('T1H', 0)),
+            'humidity': float(current_weather.get('REH', 0)),
+            'sky_condition': self.sky_code.get(int(current_weather.get('SKY', 1)), '맑음'),
+            'precipitation': self.pty_code.get(int(current_weather.get('PTY', 0)), '강수 없음'),
+            'wind_speed': current_weather.get('WSD', '0'),
+            'wind_direction': self.deg_to_dir(float(current_weather.get('VEC', 0))),
+            'location': f"({nx}, {ny})"
+        }
\ No newline at end of file
diff --git a/agents/music/workflow.py b/agents/music/workflow.py
index 197d9bd..87258e1 100644
--- a/agents/music/workflow.py
+++ b/agents/music/workflow.py
@@ -6,10 +6,10 @@
 """
 
 from langgraph.graph import StateGraph
-
+from langgraph.graph.state import CompiledStateGraph
 from agents.base_workflow import BaseWorkflow
 from agents.music.modules.state import MusicState
-
+from agents.music.modules.nodes import LyricGenerationNode, DiaryGenerationNode, YoutubeSearchNode, YoutubeAnalysisNode, WeatherGenerationNode
 
 class MusicWorkflow(BaseWorkflow):
     """
@@ -23,7 +23,7 @@ def __init__(self, state):
         super().__init__()
         self.state = state
 
-    def build(self):
+    def build(self) -> CompiledStateGraph:
         """
         음악 Workflow 그래프 구축 메서드
 
@@ -35,22 +35,39 @@ def build(self):
             CompiledStateGraph: 컴파일된 상태 그래프 객체
         """
         builder = StateGraph(self.state)
+        
 
-        builder.add_edge("__start__", "__end__")
+        # 노드 생성 및 연결결
+        builder.add_node("diary_generation", DiaryGenerationNode())
+        builder.add_node("weather_generation", WeatherGenerationNode())
+        builder.add_edge("__start__", "diary_generation")
+        builder.add_edge("__start__", "weather_generation")
 
-        # 조건부 에지 추가 예시
-        # builder.add_conditional_edges(
-        #     "call_model",
-        #     # call_model 실행이 완료된 후, 다음 노드(들)는
-        #     # router의 출력을 기반으로 예약됩니다
-        #     router,
-        # )
+        builder.add_node("youtube_search", YoutubeSearchNode())
+        builder.add_node("youtube_analysis", YoutubeAnalysisNode())
+        builder.add_edge("diary_generation", "youtube_search")
+        builder.add_edge("youtube_search", "youtube_analysis")
+
+        builder.add_node("lyric_generation", LyricGenerationNode())
+        builder.add_edge(["youtube_analysis", "weather_generation"], "lyric_generation")
+        builder.add_edge("lyric_generation", "__end__")
 
         workflow = builder.compile()  # 그래프 컴파일
         workflow.name = self.name  # Workflow 이름 설정
 
         return workflow
 
-
-# 음악 Workflow 인스턴스 생성
 music_workflow = MusicWorkflow(MusicState)
+
+if __name__ == "__main__":
+    diary_query = input("일기 생성용 입력: ")
+    lyric_query = input("가사 생성용 입력: ")
+
+    music_workflow = MusicWorkflow(MusicState)
+    graph = music_workflow.build()
+
+    graph.invoke({
+        "diary_query": diary_query,
+        "lyric_query": lyric_query
+    })
+    
diff --git a/agents_dependency.png b/agents_dependency.png
new file mode 100644
index 0000000..59108d8
Binary files /dev/null and b/agents_dependency.png differ
diff --git a/media/agents.svg b/media/agents.svg
new file mode 100644
index 0000000..9be1932
--- /dev/null
+++ b/media/agents.svg
@@ -0,0 +1,382 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
+ "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<!-- Generated by graphviz version 13.0.0 (20250608.1624)
+ -->
+<!-- Title: G Pages: 1 -->
+<svg width="912pt" height="629pt"
+ viewBox="0.00 0.00 912.00 629.00" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
+<g id="graph0" class="graph" transform="scale(1 1) rotate(0) translate(4 624.79)">
+<title>G</title><style>.edge>path:hover{stroke-width:8}</style>
+<polygon fill="white" stroke="none" points="-4,4 -4,-624.79 907.68,-624.79 907.68,4 -4,4"/>
+<!-- agents -->
+<g id="node1" class="node">
+<title>agents</title><style>.edge>path:hover{stroke-width:8}</style>
+<polygon fill="blue" stroke="black" points="72.25,-110.88 18.25,-110.88 18.25,-74.88 72.25,-74.88 72.25,-110.88"/>
+<text xml:space="preserve" text-anchor="middle" x="45.25" y="-89" font-family="Helvetica,sans-Serif" font-size="10.00" fill="white">agents</text>
+</g>
+<!-- agents_base_node -->
+<g id="node2" class="node">
+<title>agents_base_node</title><style>.edge>path:hover{stroke-width:8}</style>
+<ellipse fill="#ce3b3b" stroke="black" cx="603.25" cy="-599.22" rx="44.72" ry="21.57"/>
+<text xml:space="preserve" text-anchor="middle" x="603.25" y="-600.97" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#ffffff">agents.</text>
+<text xml:space="preserve" text-anchor="middle" x="603.25" y="-589.72" font-family="Helvetica,sans-Serif" font-size="10.00" fill="#ffffff">base_node</text>
+</g>
+<!-- agents_music_modules_nodes -->
+<g id="node12" class="node">
+<title>agents_music_modules_nodes</title><style>.edge>path:hover{stroke-width:8}</style>
+<polygon fill="blue" stroke="black" points="497.13,-308.77 441.38,-308.77 441.38,-255.77 497.13,-255.77 497.13,-308.77"/>
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+<text xml:space="preserve" text-anchor="middle" x="469.25" y="-284.02" font-family="Helvetica,sans-Serif" font-size="10.00" fill="white">music.</text>
+<text xml:space="preserve" text-anchor="middle" x="469.25" y="-272.77" font-family="Helvetica,sans-Serif" font-size="10.00" fill="white">modules.</text>
+<text xml:space="preserve" text-anchor="middle" x="469.25" y="-261.52" font-family="Helvetica,sans-Serif" font-size="10.00" fill="white">nodes</text>
+</g>
+<!-- agents_base_node&#45;&gt;agents_music_modules_nodes -->
+<g id="edge1" class="edge">
+<title>agents_base_node&#45;&gt;agents_music_modules_nodes</title><style>.edge>path:hover{stroke-width:8}</style>
+<path fill="none" stroke="black" d="M603.25,-577.16C603.25,-558.3 603.25,-529.89 603.25,-505.18"/>
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+<polygon fill="#ce3b3b" stroke="black" points="496.68,-316.55 488.18,-310.23 490.88,-320.47 496.68,-316.55"/>
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+<!-- agents_text_modules_nodes -->
+<g id="node20" class="node">
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diff --git a/tests/music/test_workflow.py b/tests/music/test_workflow.py
new file mode 100644
index 0000000..bd6980b
--- /dev/null
+++ b/tests/music/test_workflow.py
@@ -0,0 +1,120 @@
+# test code
+
+"""
+음악 Workflow 테스트 모듈
+
+이 모듈은 MusicWorkflow 클래스의 기능을 테스트합니다.
+"""
+
+import pytest
+from unittest.mock import Mock
+
+from agents.music.workflow import MusicWorkflow
+from agents.music.modules.state import MusicState
+from modules.models import ChatGPT
+
+
+@pytest.fixture
+def mock_chatgpt():
+    """ChatGPT 모의 객체 생성"""
+    mock = Mock(spec=ChatGPT)
+    mock.generate.return_value = "테스트 음악 가사"
+    return mock
+
+
+@pytest.fixture
+def music_workflow(mock_chatgpt):
+    """MusicWorkflow 인스턴스 생성"""
+    return MusicWorkflow(MusicState, mock_chatgpt)
+
+
+def test_music_workflow_initialization(music_workflow, mock_chatgpt):
+    """MusicWorkflow 초기화 테스트"""
+    assert music_workflow.name == "MusicWorkflow"
+    assert music_workflow.state == MusicState
+    assert music_workflow.model == mock_chatgpt
+
+
+def test_music_workflow_build(music_workflow):
+    """Workflow 그래프 구축 테스트"""
+    graph = music_workflow.build()
+    
+    # 그래프가 성공적으로 생성되었는지 확인
+    assert graph is not None
+    assert graph.name == "MusicWorkflow"
+    
+    # 노드가 올바르게 추가되었는지 확인
+    assert "generate_music" in graph.nodes
+
+
+def test_music_workflow_execution(music_workflow, mock_chatgpt):
+    """Workflow 실행 테스트"""
+    # 테스트용 입력 상태
+    initial_state = {
+        "query": "여름 바다를 주제로 한 가사",
+        "response": []
+    }
+    
+    # Workflow 실행
+    graph = music_workflow.build()
+    result = graph.invoke(initial_state)
+    
+    # 결과 검증
+    assert result is not None
+    assert "response" in result
+    assert "query" in result
+    assert result["query"] == initial_state["query"]
+    
+    # ChatGPT가 호출되었는지 확인
+    mock_chatgpt.generate.assert_called_once()
+
+
+def test_music_workflow_error_handling(music_workflow, mock_chatgpt):
+    """에러 처리 테스트"""
+    # ChatGPT 에러 시뮬레이션
+    mock_chatgpt.generate.side_effect = Exception("API Error")
+    
+    initial_state = {
+        "query": "에러 테스트",
+        "response": []
+    }
+    
+    # Workflow 실행 및 에러 처리 검증
+    graph = music_workflow.build()
+    with pytest.raises(Exception) as exc_info:
+        graph.invoke(initial_state)
+    
+    assert "API Error" in str(exc_info.value)
+
+
+def test_music_workflow_empty_query(music_workflow):
+    """빈 쿼리 처리 테스트"""
+    initial_state = {
+        "query": "",
+        "response": []
+    }
+    
+    graph = music_workflow.build()
+    result = graph.invoke(initial_state)
+    
+    assert result is not None
+    assert result["query"] == ""
+
+
+@pytest.mark.parametrize("test_input,expected", [
+    ("여름 바다", "여름 바다"),
+    ("겨울 눈", "겨울 눈"),
+    ("가을 단풍", "가을 단풍"),
+])
+def test_music_workflow_different_queries(music_workflow, mock_chatgpt, test_input, expected):
+    """다양한 쿼리에 대한 테스트"""
+    initial_state = {
+        "query": test_input,
+        "response": []
+    }
+    
+    graph = music_workflow.build()
+    result = graph.invoke(initial_state)
+    
+    assert result["query"] == expected
+    mock_chatgpt.generate.assert_called()
\ No newline at end of file
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