Types & classes — github.com/TIGER-AI-Lab/TheoremExplainAgent

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Types & classes12 in github.com/TIGER-AI-Lab/TheoremExplainAgent

⨍ Functions 142◇ Types & classes 12

↓ 5 callersClassLiteLLMWrapper

Wrapper for LiteLLM to support multiple models and logging

mllm_tools/litellm.py:15

↓ 3 callersClassVideoGenerator

A class for generating manim videos using AI models. This class coordinates the video generation pipeline by managing scene planning, co

generate_video.py:39

↓ 2 callersClassGeminiWrapper

Wrapper for Gemini to support multiple models and logging

mllm_tools/gemini.py:14

↓ 2 callersClassRAGVectorStore

A class for managing vector stores for RAG (Retrieval Augmented Generation). This class handles creation, loading and querying of vector stores f

src/rag/vector_store.py:21

↓ 1 callersClassCodeGenerator

A class for generating and managing Manim code.

src/core/code_generator.py:29

↓ 1 callersClassLiteLLMEmbeddings

src/rag/vector_store.py:115

↓ 1 callersClassRAGIntegration

Class for integrating RAG (Retrieval Augmented Generation) functionality. This class handles RAG integration including plugin detection, query ge

src/rag/rag_integration.py:17

↓ 1 callersClassVertexAIWrapper

Wrapper for Vertex AI to support Gemini models.

mllm_tools/vertex_ai.py:11

↓ 1 callersClassVideoPlanner

A class for planning and generating video content. This class handles the planning and generation of video content including scene outlines,

src/core/video_planner.py:24

↓ 1 callersClassVideoRenderer

Class for rendering and combining Manim animation videos.

src/core/video_renderer.py:17

src/config/config.py:7

ClassKokoroService

Speech service class for kokoro_self (using text_to_speech via Kokoro ONNX).

src/utils/kokoro_voiceover.py:18