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Found 50 matching component(s)

  • function validate_and_alternatives

    Validates whether a given keyword is a valid chemical compound, biochemical concept, or drug-related term using GPT-4, and returns alternative names/synonyms if valid.

    File: /tf/active/vicechatdev/offline_parser_docstore.py

    validation chemistry biochemistry drug-research llm
  • class RegulatoryExtractor

    A class for extracting structured metadata from regulatory guideline PDF documents using LLM-based analysis and storing the results in an Excel tracking spreadsheet.

    File: /tf/active/vicechatdev/reg_extractor.py

    pdf-extraction regulatory-documents llm-extraction ocr data-extraction
  • class MyEmbeddingFunction_v1

    A custom embedding function class that generates embeddings for documents using OpenAI's API, with built-in text summarization for long documents and token management.

    File: /tf/active/vicechatdev/OneCo_hybrid_RAG copy.py

    embeddings openai chromadb vector-database text-summarization
  • class OneCo_hybrid_RAG

    A class named OneCo_hybrid_RAG

    File: /tf/active/vicechatdev/OneCo_hybrid_RAG copy.py

    class oneco_hybrid_rag
  • class FixedProjectVictoriaGenerator

    Fixed Project Victoria Disclosure Generator that properly handles all warranty sections.

    File: /tf/active/vicechatdev/fixed_project_victoria_generator.py

    class fixedprojectvictoriagenerator
  • class OneCo_hybrid_RAG_v1

    A class named OneCo_hybrid_RAG

    File: /tf/active/vicechatdev/OneCo_hybrid_RAG_old.py

    class oneco_hybrid_rag
  • class MeetingMinutesGenerator

    A class that generates professional meeting minutes from meeting transcripts using OpenAI's GPT-4o model, with capabilities to parse metadata, extract action items, and format output.

    File: /tf/active/vicechatdev/meeting_minutes_generator.py

    meeting-minutes transcript-processing openai gpt-4o natural-language-processing
  • function main_v30

    Entry point function that orchestrates the process of loading a meeting transcript, generating structured meeting minutes using OpenAI's GPT-4o API, and saving the output to a file.

    File: /tf/active/vicechatdev/meeting_minutes_generator.py

    main-function entry-point meeting-minutes transcript-processing openai
  • class MyEmbeddingFunction_v2

    A custom embedding function class that generates embeddings for text documents using OpenAI's embedding models, with automatic text summarization and token management for large documents.

    File: /tf/active/vicechatdev/offline_docstore_multi_vice.py

    embeddings openai chromadb text-processing summarization
  • class DocumentProcessor_v5

    Process different document types for RAG context extraction

    File: /tf/active/vicechatdev/offline_docstore_multi_vice.py

    class documentprocessor
  • class ImprovedProjectVictoriaGenerator

    Improved Project Victoria Disclosure Generator with proper reference management.

    File: /tf/active/vicechatdev/improved_project_victoria_generator.py

    class improvedprojectvictoriagenerator
  • class MeetingMinutesGenerator_v1

    A class that generates professional meeting minutes from meeting transcripts using either OpenAI's GPT-4o or Google's Gemini AI models.

    File: /tf/active/vicechatdev/advanced_meeting_minutes_generator.py

    meeting-minutes transcript-processing llm gpt-4o gemini
  • function main_v16

    Command-line interface function that orchestrates the generation of meeting minutes from a transcript file using either GPT-4o or Gemini LLM models.

    File: /tf/active/vicechatdev/advanced_meeting_minutes_generator.py

    cli command-line meeting-minutes transcript-processing llm
  • class QueryBasedExtractor_v2

    A class that performs targeted information extraction from text using LLM-based query-guided extraction, with support for handling long documents through chunking and token management.

    File: /tf/active/vicechatdev/OneCo_hybrid_RAG.py

    information-extraction text-processing llm openai query-based
  • class OneCo_hybrid_RAG_v2

    A class named OneCo_hybrid_RAG

    File: /tf/active/vicechatdev/OneCo_hybrid_RAG.py

    class oneco_hybrid_rag
  • class ExtensiveSearchManager

    Manages extensive search functionality including full document retrieval, summarization, and enhanced context gathering.

    File: /tf/active/vicechatdev/OneCo_hybrid_RAG.py

    class extensivesearchmanager
  • class ProjectVictoriaDisclosureGenerator

    Main class for generating Project Victoria disclosures from warranty claims.

    File: /tf/active/vicechatdev/project_victoria_disclosure_generator.py

    class projectvictoriadisclosuregenerator
  • class MyEmbeddingFunction_v3

    A custom embedding function class that generates embeddings for text documents using OpenAI's embedding models, with automatic text summarization and token limit handling for large documents.

    File: /tf/active/vicechatdev/offline_docstore_multi.py

    embeddings openai vector-database chromadb text-processing
  • class DocumentProcessor_v6

    Process different document types for RAG context extraction

    File: /tf/active/vicechatdev/offline_docstore_multi.py

    class documentprocessor
  • function test_web_ui

    Integration test function that validates a Flask web UI for meeting minutes generation by testing file upload, generation, and regeneration endpoints with sample transcript and PowerPoint files.

    File: /tf/active/vicechatdev/leexi/test_ui.py

    testing integration-test web-ui flask api-testing
  • function extract_previous_reports_summary

    Extracts and summarizes key information from previous meeting report files using document extraction and OpenAI's GPT-4o-mini model to provide context for upcoming meetings.

    File: /tf/active/vicechatdev/leexi/app.py

    meeting-analysis document-extraction text-summarization llm openai
  • function generate_minutes

    Flask route handler that processes uploaded meeting transcripts and optional supporting documents to generate structured meeting minutes using AI, with configurable output styles and validation.

    File: /tf/active/vicechatdev/leexi/app.py

    flask web-api file-upload meeting-minutes ai-generation
  • function regenerate_minutes

    Flask route handler that regenerates meeting minutes from a previous session using modified instructions, model selection, and configuration parameters.

    File: /tf/active/vicechatdev/leexi/app.py

    flask meeting-minutes regeneration ai-generation openai
  • function test_multiple_file_upload

    A test function that validates multiple file upload functionality to a Flask application endpoint by sending a transcript file and multiple previous report files.

    File: /tf/active/vicechatdev/leexi/test_flask_upload.py

    testing file-upload integration-test flask multipart-form
  • function test_attendee_extraction_comprehensive

    A comprehensive test function that validates the attendee extraction logic from meeting transcripts, comparing actual speakers versus mentioned names, and demonstrating integration with meeting minutes generation.

    File: /tf/active/vicechatdev/leexi/test_attendee_comprehensive.py

    testing attendee-extraction meeting-minutes transcript-parsing speaker-identification
  • class EnhancedMeetingMinutesGenerator

    A class named EnhancedMeetingMinutesGenerator

    File: /tf/active/vicechatdev/leexi/enhanced_meeting_minutes_generator.py

    class enhancedmeetingminutesgenerator
  • function main_v2

    Command-line interface function that orchestrates the generation of enhanced meeting minutes from transcript files and PowerPoint presentations using various LLM models (GPT-4o, Azure GPT-4o, or Gemini).

    File: /tf/active/vicechatdev/leexi/enhanced_meeting_minutes_generator.py

    cli command-line meeting-minutes llm gpt-4
  • function test_attendee_extraction

    A test function that validates the attendee extraction logic of the EnhancedMeetingMinutesGenerator by parsing a meeting transcript and displaying extracted metadata including speakers, date, and duration.

    File: /tf/active/vicechatdev/leexi/test_attendee_extraction.py

    testing unit-test meeting-minutes attendee-extraction metadata-parsing
  • function check_configuration

    A comprehensive configuration verification function that checks and displays the status of all DocChat system settings, including API keys, models, ChromaDB connection, directories, and LLM initialization.

    File: /tf/active/vicechatdev/docchat/verify_setup.py

    configuration verification diagnostics setup validation
  • class QueryBasedExtractor

    A class that extracts relevant information from documents using a small LLM (Language Model), designed for Extensive and Full Reading modes in RAG systems.

    File: /tf/active/vicechatdev/docchat/rag_engine.py

    information-extraction document-processing llm rag query-based
  • class DocChatRAG

    Main RAG engine with three operating modes: 1. Basic RAG (similarity search) 2. Extensive (full document retrieval with preprocessing) 3. Full Reading (process all documents)

    File: /tf/active/vicechatdev/docchat/rag_engine.py

    class docchatrag
  • class DocChatEmbeddingFunction

    A custom ChromaDB embedding function that generates OpenAI embeddings with automatic text summarization for documents exceeding token limits.

    File: /tf/active/vicechatdev/docchat/document_indexer.py

    embeddings chromadb openai text-processing summarization
  • function test_config

    A test function that validates the presence and correctness of all required configuration settings for a multi-model RAG (Retrieval-Augmented Generation) system.

    File: /tf/active/vicechatdev/docchat/test_model_selection.py

    testing validation configuration unit-test assertion
  • function test_api_models_endpoint

    A unit test function that validates the structure and content of the /api/models endpoint response, ensuring it contains the correct model configuration data.

    File: /tf/active/vicechatdev/docchat/test_model_selection.py

    testing unit-test api-validation endpoint-testing configuration-validation
  • class LLMMessage

    A simple dataclass that represents a message for Large Language Model (LLM) interactions, containing only the message content as a string.

    File: /tf/active/vicechatdev/docchat/llm_factory.py

    dataclass message llm data-container language-model
  • class OpenAIResponsesLLM

    Adapter class for OpenAI's Responses API, specifically designed for GPT-5 family models with automatic fallback mechanisms to stable models when responses fail.

    File: /tf/active/vicechatdev/docchat/llm_factory.py

    openai llm gpt-5 responses-api adapter
  • class OpenAIChatLLM

    Adapter class for interacting with OpenAI's Chat Completions API, supporting both GPT-4 and GPT-5 model families with automatic parameter adjustment based on model type.

    File: /tf/active/vicechatdev/docchat/llm_factory.py

    openai llm chat-completion gpt-4 gpt-5
  • function get_llm_instance

    Factory function that creates and returns an appropriate LLM (Large Language Model) instance based on the specified model name, automatically detecting the provider (OpenAI, Azure OpenAI, or Anthropic) and configuring it with the given parameters.

    File: /tf/active/vicechatdev/docchat/llm_factory.py

    llm factory-pattern openai azure anthropic
  • class GPT5Validator

    A comprehensive testing and validation class for OpenAI GPT models, with special support for GPT-5 family models using the Responses API.

    File: /tf/active/vicechatdev/docchat/test_gpt5_readiness.py

    testing validation openai gpt-5 api-testing
  • function main_v12

    Main test runner function that validates GPT-5 readiness by running comprehensive tests against multiple OpenAI models (GPT-5 and GPT-4o) and provides production readiness recommendations.

    File: /tf/active/vicechatdev/docchat/test_gpt5_readiness.py

    testing validation openai gpt-5 model-comparison
  • class ContractDataExtractor

    Extract structured data from legal contracts using LLM analysis

    File: /tf/active/vicechatdev/contract_validity_analyzer/extractor.py

    class contractdataextractor
  • function test_new_fields

    A test function that validates an LLM client's ability to extract third-party email addresses and tax identification numbers from contract documents.

    File: /tf/active/vicechatdev/contract_validity_analyzer/test_new_fields.py

    testing llm contract-analysis email-extraction tax-id-extraction
  • function test_international_tax_ids

    A test function that validates an LLM client's ability to extract tax identification numbers and business registration numbers from a multi-party international contract document across 8 different countries.

    File: /tf/active/vicechatdev/contract_validity_analyzer/test_international_tax_ids.py

    testing llm document-analysis tax-id-extraction international
  • function test_edge_cases

    Tests edge cases and variations in European tax ID formats by analyzing a sample contract document containing Swiss, Norwegian, Swedish, and Danish tax identifiers.

    File: /tf/active/vicechatdev/contract_validity_analyzer/test_international_tax_ids.py

    testing tax-id-extraction european-formats contract-analysis llm-validation
  • class Config_v3

    Configuration manager class that loads, manages, and persists configuration settings for a contract validity analyzer application, supporting YAML files and environment variable overrides.

    File: /tf/active/vicechatdev/contract_validity_analyzer/config/config.py

    configuration config-management yaml environment-variables settings
  • class LLMClient_v2

    Client for interacting with LLM providers (OpenAI, Anthropic, Azure, etc.)

    File: /tf/active/vicechatdev/contract_validity_analyzer/utils/llm_client.py

    class llmclient
  • class Config_v6

    A dataclass that stores configuration settings for a ChromaDB cleanup process, including connection parameters, cleaning/clustering options, and summarization settings.

    File: /tf/active/vicechatdev/chromadb-cleanup/src/config.py

    configuration dataclass chromadb settings cleanup
  • function create_summary

    Creates a text summary using OpenAI's GPT models or returns a truncated version as fallback when API key is unavailable.

    File: /tf/active/vicechatdev/chromadb-cleanup/src/summarization/summarizer.py

    summarization text-processing openai gpt nlp
  • class AgentExecutor

    Agent-based script executor that generates standalone Python files, manages dependencies, and provides iterative debugging capabilities

    File: /tf/active/vicechatdev/vice_ai/agent_executor.py

    class agentexecutor
  • class SmartStatService

    Service for running SmartStat analysis sessions in Vice AI

    File: /tf/active/vicechatdev/vice_ai/smartstat_service.py

    class smartstatservice

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