from meibelai import Meibelai
import os


with Meibelai(
    api_key_header=os.getenv("MEIBELAI_API_KEY_HEADER", ""),
) as m_client:

    res = m_client.rag.add_chunking_strategy(datasource_id="<id>", code_splitter={
        "chunk_lines": 750571,
        "chunk_lines_overlap": 608702,
        "max_chars": 567662,
    }, html_node_parser={
        "include_metadata": True,
        "include_prev_next_rel": False,
        "tags": [
            "<value 1>",
            "<value 2>",
        ],
    }, json_node_parser={
        "include_metadata": True,
        "include_prev_next_rel": True,
    }, markdown_node_parser={
        "include_metadata": False,
        "include_prev_next_rel": True,
        "header_path_separator": "<value>",
    }, semantic_splitter_node_parser={
        "buffer_size": 887654,
        "include_metadata": True,
        "include_prev_next_rel": False,
        "breakpoint_percentile_threshold": 22055,
    }, sentence_splitter={
        "chunk_size": 351648,
        "chunk_overlap": 940255,
        "separator": "<value>",
        "paragraph_separator": "<value>",
        "secondary_chunking_regex": "<value>",
    }, token_text_splitter={
        "chunk_size": 846457,
        "chunk_overlap": 52711,
        "separator": "<value>",
        "backup_separators": [
            "<value 1>",
        ],
        "keep_whitespaces": False,
    })

    # Handle response
    print(res)

{
  "message": "<string>"
}