(text: str, max_chunk_tokens: int, model_name: str)

(text: str, model_name: str)

(prompt: str, max_tokens: int = 5000)

(model_name: str)

(chunk: str, prev_context: str, chunk_index: int, total_chunks: int, reformat_as_markdown: bool, suppress_head

(chunks: List[str], tokenizer, max_chunk_tokens: int, overlap_size: int = 50)

(text: str)

(original_text, processed_text)

(input_pdf_file_path: str, max_pages: int = 0, skip_first_n_pages: int = 0)

()

(prompt: str, max_tokens: int = CLAUDE_MAX_TOKENS - TOKEN_BUFFER)

(llm_model_name: str, input_prompt: str, number_of_tokens_to_generate: int = 100, temperature: float = 0.7, gr

(prompt: str, max_tokens: int = 5000)

(llm_model_name: str, raise_exception: bool = True)

()

()

(image)

(chunk: str, prev_context: str, index: int)

(chunks: List[str], reformat_as_markdown: bool, suppress_headers_and_page_numbers: bool)

(list_of_extracted_text_strings: List[str], reformat_as_markdown: bool = True, suppress_headers_and_page_numbe

(text)

(args)

()

(image)

(sentence: str, max_tokens: int, model_name: str)