Hermes Pipeline
e47f51563f
Extracted from: https://github.com/omerbsezer/Fast-LLM-Agent-MCP.git Score: 1.0
11 lines
706 B
Markdown
11 lines
706 B
Markdown
# Examples: multi-agent-sequential-workflow
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## Usage Example
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```python
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# How to use this skill
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# Inputs: User query with location
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# 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 raw information provided by the researcher. → Step 3: Writer agent (agent.py) formats the final response, including the structured guide content and prominently features the 'Suggested Web Pages' section.
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# Outputs: Structured travel guide with key sections, Final client response
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```
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