LlmExtractor

Struct LlmExtractor 

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pub struct LlmExtractor { /* private fields */ }
Expand description

LLM-backed turn extractor that sends transcript windows to an OOB LLM with a structured extraction prompt.

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impl LlmExtractor

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pub fn new( name: impl Into<String>, llm: Arc<dyn BaseLlm>, prompt: impl Into<String>, window_size: usize, ) -> Self

Create a new LLM-backed extractor.

  • name: key for storing results in State
  • llm: the out-of-band LLM to use for extraction
  • prompt: system instruction describing what to extract
  • window_size: how many recent turns to include
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pub fn with_min_words(self, n: usize) -> Self

Set the minimum word count in the last user utterance to trigger extraction.

Turns where the user said fewer than n words will skip the LLM call. Useful for filtering out “uh huh”, “ok”, “yes” style responses.

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pub fn with_schema(self, schema: Value) -> Self

Set a JSON Schema for structured output.

When set, the schema is included in the prompt to guide the LLM toward producing valid JSON matching the schema.

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pub fn with_trigger(self, trigger: ExtractionTrigger) -> Self

Set the trigger mode for this extractor.

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pub fn with_promotions(self, rules: Vec<FieldPromotion>) -> Self

Set explicit field promotion rules.

Once promotion rules are present, top-level fields are no longer automatically flattened into state; only accepted rules promote.

Trait Implementations§

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impl TurnExtractor for LlmExtractor

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fn name(&self) -> &str

Name of this extractor (used as the State key).
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fn window_size(&self) -> usize

How many recent turns this extractor needs.
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fn should_extract(&self, window: &[TranscriptTurn]) -> bool

Whether this extractor should run for the current turn. Read more
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fn trigger(&self) -> ExtractionTrigger

The trigger mode for this extractor. Read more
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fn promotion_rules(&self) -> &[FieldPromotion]

Field promotion rules for this extractor. Read more
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fn extract<'life0, 'life1, 'async_trait>( &'life0 self, window: &'life1 [TranscriptTurn], ) -> Pin<Box<dyn Future<Output = Result<Value, LlmError>> + Send + 'async_trait>>
where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Extract structured data from the transcript window.

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