Implement enhanced pronunciation assessment system with Wav2Vec2 support

Implement Lesson Practice 2 Agent with state management and routing logic; add practice and teaching agent functions; create prompts for conversation and teaching; establish pronunciation API with lesson data and search functionality.

feat: add text cleaning functionality for TTS service to enhance input processing

feat: update device selection in Wave2Vec2Inference to support GPU usage and enhance performance

fix: update import statement for BaseModel in agent.py and add timing logs in speaking_controller.py

update: evaluation

feat: set Teaching Agent as default and enhance interaction prompts

feat: evaluation when end

feat: text to speech for AI response

prompt: at handoff trigger for guiding agent roleplay

prompt: hallucination at repsonse length

update prompt

prompt: add markdown and agent name

prompt: optimize

feat: audio v2 multi agent

Add trim_history function and update lesson chat route to handle text and audio inputs

Refactor roleplay agent implementation and update session handling for improved message processing

Add lesson management functionality with JSON data integration and response models

Implement lesson practice agent and related functionality

update follow-up questions in scenarios for clarity and relevance

update prompt new tối nay

update prompt claude

first commit

deployment: update

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