Class: HybridUtilityAI
Defined in: packages/agentos/src/cognition/nlp/ai_utilities/HybridUtilityAI.ts:76
Routes each utility method to the most appropriate backend:
- LLM: summarization, classification, keyword extraction, JSON repair
- Statistical: tokenization, stemming, n-grams, readability, similarity
- Either with preference: sentiment, language detection
A summary, classification, keyword list, similarity or sentiment whose method names a method only one class has
goes to that class when the hybrid holds it. The statistical class takes first_n_sentences and
extractive_sentence_rank summaries, naive_bayes and keyword_matching classification, tf_idf and
frequency_based keywords, cosine_tfidf, jaccard and levenshtein similarity and lexicon_based sentiment;
the LLM-backed class takes abstractive_llm and key_points_llm summaries, llm_zeroshot classification, llm
keywords, llm_semantic similarity and llm sentiment. If the preferred backend is not held, the other one takes
the call.
Implements
Constructors
Constructor
new HybridUtilityAI(
config):HybridUtilityAI
Defined in: packages/agentos/src/cognition/nlp/ai_utilities/HybridUtilityAI.ts:81
Parameters
config
Returns
HybridUtilityAI
Properties
utilityId
readonlyutilityId:string
Defined in: packages/agentos/src/cognition/nlp/ai_utilities/HybridUtilityAI.ts:77
Implementation of
Methods
analyzeSentiment()
analyzeSentiment(
text,options?):Promise<SentimentResult>
Defined in: packages/agentos/src/cognition/nlp/ai_utilities/HybridUtilityAI.ts:166
Parameters
text
string
options?
Returns
Promise<SentimentResult>
Implementation of
calculateReadability()
calculateReadability(
text,options):Promise<ReadabilityResult>
Defined in: packages/agentos/src/cognition/nlp/ai_utilities/HybridUtilityAI.ts:156
Parameters
text
string
options
Returns
Promise<ReadabilityResult>
Implementation of
IUtilityAI.calculateReadability
calculateSimilarity()
calculateSimilarity(
text1,text2,options?):Promise<number>
Defined in: packages/agentos/src/cognition/nlp/ai_utilities/HybridUtilityAI.ts:160
Parameters
text1
string
text2
string
options?
Returns
Promise<number>
Implementation of
IUtilityAI.calculateSimilarity
checkHealth()
checkHealth():
Promise<{dependencies?:object[];details?:any;isHealthy:boolean; }>
Defined in: packages/agentos/src/cognition/nlp/ai_utilities/HybridUtilityAI.ts:176
Returns
Promise<{ dependencies?: object[]; details?: any; isHealthy: boolean; }>
Implementation of
classifyText()
classifyText(
textToClassify,options):Promise<ClassificationResult>
Defined in: packages/agentos/src/cognition/nlp/ai_utilities/HybridUtilityAI.ts:118
Parameters
textToClassify
string
options
Returns
Promise<ClassificationResult>
Implementation of
detectLanguage()
detectLanguage(
text,options?):Promise<LanguageDetectionResult[]>
Defined in: packages/agentos/src/cognition/nlp/ai_utilities/HybridUtilityAI.ts:170
Parameters
text
string
options?
Returns
Promise<LanguageDetectionResult[]>
Implementation of
extractKeywords()
extractKeywords(
textToAnalyze,options?):Promise<string[]>
Defined in: packages/agentos/src/cognition/nlp/ai_utilities/HybridUtilityAI.ts:122
Parameters
textToAnalyze
string
options?
Returns
Promise<string[]>
Implementation of
generateNGrams()
generateNGrams(
tokens,options):Promise<Record<number,string[][]>>
Defined in: packages/agentos/src/cognition/nlp/ai_utilities/HybridUtilityAI.ts:152
Parameters
tokens
string[]
options
Returns
Promise<Record<number, string[][]>>
Implementation of
initialize()
initialize(
config):Promise<void>
Defined in: packages/agentos/src/cognition/nlp/ai_utilities/HybridUtilityAI.ts:90
Parameters
config
UtilityAIConfigBase & Record<string, any>
Returns
Promise<void>
Implementation of
normalizeText()
normalizeText(
text,options?):Promise<string>
Defined in: packages/agentos/src/cognition/nlp/ai_utilities/HybridUtilityAI.ts:148
Parameters
text
string
options?
Returns
Promise<string>
Implementation of
parseJsonSafe()
parseJsonSafe<
T>(jsonString,options?):Promise<T|null>
Defined in: packages/agentos/src/cognition/nlp/ai_utilities/HybridUtilityAI.ts:126
Parses a string that is expected to be JSON: as it is, else from inside the Markdown code fence it is or holds,
which a model asked for JSON alone often answers in. An LLM-backed class sends a text that still does not parse
for repair when attemptFixWithLLM is set.
Type Parameters
T
T = any
The expected type of the parsed JSON object.
Parameters
jsonString
string
The string to parse.
options?
Options for parsing and fixing.
Returns
Promise<T | null>
The parsed object, or null if parsing and fixing fail.
Implementation of
shutdown()
shutdown():
Promise<void>
Defined in: packages/agentos/src/cognition/nlp/ai_utilities/HybridUtilityAI.ts:200
Returns
Promise<void>
Implementation of
stemTokens()
stemTokens(
tokens,options?):Promise<string[]>
Defined in: packages/agentos/src/cognition/nlp/ai_utilities/HybridUtilityAI.ts:144
Parameters
tokens
string[]
options?
Returns
Promise<string[]>
Implementation of
summarize()
summarize(
textToSummarize,options?):Promise<string>
Defined in: packages/agentos/src/cognition/nlp/ai_utilities/HybridUtilityAI.ts:114
Parameters
textToSummarize
string
options?
Returns
Promise<string>
Implementation of
tokenize()
tokenize(
text,options?):Promise<string[]>
Defined in: packages/agentos/src/cognition/nlp/ai_utilities/HybridUtilityAI.ts:140
Parameters
text
string
options?
Returns
Promise<string[]>