`OSSS.ai.store.topic_manager`¶

`OSSS.ai.store.topic_manager` ¶

Topic management and auto-tagging pipeline for OSSS.

This module provides intelligent topic extraction and suggestion capabilities that analyze agent outputs to automatically propose relevant topics and tags.

`TopicSuggestion` ¶

Bases: BaseModel

A suggested topic with confidence and reasoning.

Migrated from dataclass to Pydantic BaseModel for enhanced validation, serialization, and integration with the OSSS Pydantic ecosystem.

`TopicAnalysis` ¶

Bases: BaseModel

Complete topic analysis for a query and agent outputs.

Migrated from dataclass to Pydantic BaseModel for enhanced validation, serialization, and integration with the OSSS Pydantic ecosystem.

`KeywordExtractor` ¶

Extract meaningful keywords and phrases from text.

`extract_keywords(text, min_length=3)` ¶

Extract keywords with frequency counts.

`TopicMapper` ¶

Map extracted terms to structured topics.

`map_terms_to_topics(terms)` ¶

Map extracted terms to topic suggestions.

`LLMTopicAnalyzer` ¶

Use LLM for sophisticated topic analysis.

`analyze_topics(query, agent_outputs)` `async` ¶

Use LLM to analyze and suggest topics.

`TopicManager` ¶

Main topic management and auto-tagging pipeline.

`analyze_and_suggest_topics(query, agent_outputs, existing_topics=None)` `async` ¶

Complete topic analysis and suggestion pipeline.

OSSS.ai.store.topic_manager¶