Search - Code Extractor

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 SimpleChatMemory

A simple chat memory manager that stores and retrieves conversation history between users and assistants with configurable history limits.

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

chat memory conversation history chatbot

function get_document

Retrieves comprehensive details of a controlled document by its UID, with optional inclusion of version history, review cycles, and approval cycles.

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

document-management controlled-documents retrieval version-control review-workflow

function create_document_v3

Creates a new controlled document in a document management system with specified properties, type, department, and status.

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

document-management controlled-documents document-creation CDocs workflow

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 DocumentDetail_v1

Document detail view component

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

class documentdetail

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 MyEmbeddingFunction

Custom embedding function class that integrates OpenAI's embedding API with Chroma DB for generating vector embeddings from text documents.

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

embeddings openai chroma vector-database nlp

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

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 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 update_session_settings

Updates the settings (model, mode, options) for an existing chat session and persists the changes to disk.

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

session-management settings persistence thread-safe chat

function api_get_models

Flask API endpoint that returns a list of available LLM models and the default model configuration.

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

api flask rest-api llm configuration

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

function get_available_models

Flask API endpoint that returns a JSON response containing the list of available LLM models and the default model configured in the application.

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

api endpoint flask llm models

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_rag_engine

A test function that validates the RAG engine's ability to correctly instantiate different LLM models (OpenAI, Anthropic, Gemini) based on configuration settings.

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

testing rag llm model-switching validation

function test_flask_routes

A test function that validates Flask application routes are properly configured by checking for required endpoints.

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

testing flask routes validation web-application

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

function main_v40

Test orchestration function that executes a comprehensive test suite for DocChat's multi-LLM model selection feature and reports results.

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

testing integration-tests test-orchestration multi-llm test-runner

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

class AzureOpenAIChatLLM

Adapter class for interacting with Azure OpenAI's Chat Completions API, providing a simplified interface for generating chat responses using Azure-hosted OpenAI models.

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

azure openai chat llm api-adapter

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

function download_model

Downloads a model file from a specified URL and saves it to a local file path using HTTP GET request.

File: /tf/active/vicechatdev/chromadb-cleanup/scripts/download_model.py

download http file-io model-management network

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

function raw_cleanup_database

Performs raw database cleanup on a SQLite database to identify and fix corrupted chat_session_id values in the text_sections table by converting invalid string representations ('{}', '[]', 'null', '') to NULL.

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

database cleanup maintenance sqlite data-integrity

class SmartStatService

Service for running SmartStat analysis sessions in Vice AI

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

class smartstatservice

class LLMClient

Multi-LLM client that provides a unified interface for interacting with OpenAI GPT-4o, Azure OpenAI, Google Gemini, and Anthropic Claude models.