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@ -16,9 +16,9 @@ There are several approaches to achieve a structured output:
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In practice, **Prompting** is simple and reliable for modern LLMs.
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## Example Use Cases
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### Example Use Cases
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1. **Extracting Key Information**
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- Extracting Key Information
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```yaml
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product:
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@ -29,7 +29,7 @@ product:
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Recommended for advanced users.
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```
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2. **Summarizing Documents into Bullet Points**
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- Summarizing Documents into Bullet Points
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```yaml
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summary:
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@ -38,7 +38,7 @@ summary:
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- Suitable for all skill levels.
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```
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3. **Generating Configuration Files**
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- Generating Configuration Files
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```yaml
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server:
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@ -50,8 +50,8 @@ server:
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## Prompt Engineering
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When prompting the LLM to produce **structured** output:
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1. **Wrap** the structure in code fences (e.g., ```yaml).
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2. **Validate** that all required fields exist (and retry if necessary).
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1. **Wrap** the structure in code fences (e.g., ` ```yaml`).
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2. **Validate** that all required fields exist (and let `Node` handles retry).
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### Example Text Summarization
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