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https://github.com/langchain-ai/sql-support-bot-starter.git
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Add create_deep_agent option and LangSmith setup instructions
- Show both create_agent and create_deep_agent options in agent.py - Add LangSmith signup link to README setup instructions Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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@@ -1,7 +1,6 @@
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# API Keys
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OPENAI_API_KEY=your_openai_key_here
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# Optional: LangSmith tracing
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LANGSMITH_API_KEY=your_langsmith_key_here
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LANGCHAIN_TRACING_V2=true
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LANGCHAIN_PROJECT=music-support-bot
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@@ -1,6 +1,6 @@
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# Music Store Customer Support Bot - Starter Code
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Simple starter code for building a customer support agent for the Chinook music store database using `create_agent()`.
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Simple starter code for building a customer support agent for the Chinook music store database using `create_agent()` or `create_deep_agent()`.
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## Setup
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@@ -9,8 +9,9 @@ Simple starter code for building a customer support agent for the Chinook music
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pip install -r requirements.txt
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pip install langgraph-cli
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# 2. Add your API key to .env
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# Edit OPENAI_API_KEY in the .env file
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# 2. Add your API keys to .env
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# - OPENAI_API_KEY: https://platform.openai.com/api-keys
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# - LANGSMITH_API_KEY: https://smith.langchain.com/ (sign up, then Settings > API Keys)
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# 3. Run Studio
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langgraph dev
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@@ -29,7 +30,7 @@ take_home/
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├── .env # Environment variables (add your API keys here)
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├── .env.example # Template
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└── src/
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├── agent.py # Agent definition using create_agent()
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├── agent.py # Agent definition
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├── db.py # Database connection (loads from GitHub)
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└── tools/
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├── customer_tools.py # get_customer_orders tool
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+10
-19
@@ -1,19 +1,14 @@
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"""
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Music Store Customer Support Bot - Simple 2-Tool Agent
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"""Music Store Customer Support Bot"""
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Uses create_agent() with minimal tools for simplicity.
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"""
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import os
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from langchain_openai import ChatOpenAI
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from langchain.agents import create_agent
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from langchain.agents import create_deep_agent
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from src.tools.customer_tools import get_customer_orders
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from src.tools.music_tools import list_tracks_by_artist
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# Model configuration
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DEFAULT_MODEL = os.getenv("MODEL", "gpt-4o")
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# System prompt for the agent
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SYSTEM_PROMPT = """You are a helpful customer support agent for a music store.
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You can help customers with:
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@@ -26,20 +21,16 @@ Important:
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- Be friendly, helpful, and professional
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- For questions outside these capabilities, politely explain what you can help with"""
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TOOLS = [get_customer_orders, list_tracks_by_artist]
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def build_agent():
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"""Build the customer support agent with 2 simple tools."""
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"""Build agent using create_agent."""
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model = ChatOpenAI(model=DEFAULT_MODEL, temperature=0)
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return create_agent(model=model, tools=TOOLS, system_prompt=SYSTEM_PROMPT)
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tools = [
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get_customer_orders, # View order history
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list_tracks_by_artist # Browse tracks by artist
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]
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agent = create_agent(
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model=model,
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tools=tools,
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system_prompt=SYSTEM_PROMPT
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)
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return agent
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# def build_agent():
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# """Build agent using create_deep_agent."""
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# model = ChatOpenAI(model=DEFAULT_MODEL, temperature=0)
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# return create_deep_agent(model=model, tools=TOOLS, system_prompt=SYSTEM_PROMPT)
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