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templates/classification/README.md

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+# Classification Templates
+
+Templates for classification patterns (sentiment, intent, category, etc.)
+
+## Pattern Structure
+
+Each classification template includes:
+- Input types (usually text)
+- Enum definitions for categories
+- Classification function with confidence
+- Reasoning capture
+- Example test cases
+
+## Common Use Cases
+
+- Sentiment analysis
+- Intent detection
+- Category assignment
+- Priority classification
+- Topic identification

templates/classification/sentiment_classification.baml

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+// Example: Sentiment Classification Pattern
+
+enum Sentiment {
+  Positive @description("Positive sentiment")
+  Negative @description("Negative sentiment")
+  Neutral @description("Neutral sentiment")
+}
+
+class SentimentResult {
+  sentiment Sentiment
+  confidence float @description("Confidence score 0-1")
+  reasoning string @description("Explanation for classification")
+}
+
+client FastModel {
+  provider "openai"
+  options {
+    model "gpt-4o-mini"
+    temperature 0.1
+  }
+}
+
+function ClassifySentiment(text: string) -> SentimentResult {
+  client FastModel
+
+  prompt #"
+    Classify the sentiment of the following text:
+
+    {{ text }}
+
+    Provide confidence score and reasoning.
+
+    {{ ctx.output_format }}
+  "#
+}