# Examples: multi-agent-sequential-workflow

## Usage Example

```python
# How to use this skill
# Inputs: User query with location
# Process: Step 1: Researcher agent (agent.py) uses LangGraph create_react_agent with BedrockModel to gather raw facts about the destination. → Step 2: Travel Guide Generator agent (agent.py) synthesizes the gathered data into a structured travel guide based on the user's request and the raw information provided by the researcher. → Step 3: Writer agent (agent.py) formats the final response, including the structured travel guide content and prominently featuring the 'Suggested Web Pages' section.
# Outputs: Structured travel guide with key sections, Final client response
```