summary

summary summarizes text, files, URLs, or supported document objects.

Create a summarizer

summarizer = akasha.summary(
    model="gemini:gemini-2.5-flash",
    sum_type="map_reduce",
    sum_len=500,
    chunk_size=500,
    chunk_overlap=50,
)

Common constructor options:

Option	Meaning
model	Model used to generate the summary.
sum_type	Summary strategy: map_reduce or refine.
sum_len	Target summary length.
chunk_size	Size of input chunks.
chunk_overlap	Overlap between adjacent chunks.
temperature	Sampling temperature.

Summarize content

import akasha

summarizer = akasha.summary(model="gemini:gemini-2.5-flash")
summary = summarizer("akasha is a Python toolkit for document-aware AI applications.")
print(summary)

The content argument can also be a file path, URL, list of sources, or supported document object. The normal return value is a final str.