feat transcription: implement meeting transcription quotas with project ID and duration limits, enhancing validation and quota management. Update settings and documentation to reflect new features and usage examples.

refactor transcription: update meeting transcription model to 'gpt-4o-mini-transcribe', enhance TranscriptionResponse and JobStatusResponse models with metadata fields, and implement usage normalization utilities for improved tracking and reporting.

feat transcription: introduce asynchronous transcription job endpoints for audio and meeting files, allowing users to upload files and poll for job status. Update models and services to handle job creation, status tracking, and response formatting. Enhance documentation with examples and details on supported audio formats and job management.

feat documents: enhance document ingestion to support both PDF and plain text formats. Implement a new detection function for document types, update the upload endpoint description, and refactor the ingestion service to handle text files. Add tests for text file ingestion to ensure functionality.

feat transcription: add dedicated meeting transcription endpoint with support for audio file uploads and language options. Implement validation for file formats and sizes, and update settings for the new transcription model. Enhance API documentation and examples for clarity.

Enhance PDF generation and update configurations: Add PDF_LOGO_PATH to .env.example, include markdown-pdf in requirements.txt, and refactor PDF generation logic to support logo integration. Introduce tests for PDF generation from Markdown input and update summarizer agent to streamline export functionality.