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Harrison Chase
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@@ -10,27 +10,9 @@ pip install langgraph-reflection
## Details
<div style="display: flex; align-items: flex-start; gap: 20px;">
<div>
This reflection agent uses two subagents:
- A "main" agent, which is the agent attempting to solve the users task
- A "critique" agent, which checks the main agents work and offers any critiques
The reflection agent has the following architecture:
1. First, the main agent is called
2. Once the main agent is finished, the critique agent is called
3. Based on the result of the critique agent:
- If the critique agent finds something to critique, then the main agent is called again
- If there is nothing to critique, then the overall reflection agent finishes
4. Repeat until the overall reflection agent finishes
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<div>
<img src="langgraph-reflection.png" alt="Reflection Agent Architecture" width="100"/>
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</div>
| Description | Architecture |
|------------|--------------|
| This reflection agent uses two subagents:<br>- A "main" agent, which is the agent attempting to solve the users task<br>- A "critique" agent, which checks the main agents work and offers any critiques<br><br>The reflection agent has the following architecture:<br><br>1. First, the main agent is called<br>2. Once the main agent is finished, the critique agent is called<br>3. Based on the result of the critique agent:<br> - If the critique agent finds something to critique, then the main agent is called again<br> - If there is nothing to critique, then the overall reflection agent finishes<br>4. Repeat until the overall reflection agent finishes | <img src="langgraph-reflection.png" alt="Reflection Agent Architecture" width="100"/> |
We make some assumptions about the graphs:
- The main agent should take as input a list of messages