stapel-recordings

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Recording lifecycle: audio/video upload (presigned single-PUT and multipart), storage, a configurable processing pipeline (convert, transcribe, diarize, merge) producing a unified speaker-attributed transcript, optional automatic summaries, and a watchdog that recovers stuck or abandoned recordings.

Part of the Stapel framework — composable Django apps that deploy as a monolith or as microservices without changing module code.

Install

pip install stapel-recordings

At a glance

Fact Value
Version 0.19.0
Python >=3.11 (3.11, 3.12, 3.13, 3.14)
HTTP operations 10
Config axes 1
Usage surface 40
Extension points 7
Error codes 59
Fleet dependencies stapel-agent (optional) · stapel-auth (optional) · stapel-core

Documentation

OpenAPI · capabilities.json · llms.txt (for agents)

What this is

Owns the lifecycle capture/upload → storage → transcribe → summarize: Recording + Speaker + Segment (the unified transcript), presigned / multipart upload sessions, and a data-driven, outbox-backed processing pipeline with retry, DLQ and reconcile.

Speech-to-text and summarization are delegated to stapel-agent via the llm.transcribe / llm.summarize comm Functions — this module does not implement STT or LLM calls. Object storage goes through a swappable seam.

Quick start

The base install uses the Django-storage backend; add the s3 extra for the boto3 S3/MinIO backend:

pip install "stapel-recordings[s3]"

INSTALLED_APPS = [
    # ...
    "stapel_core.django.outbox",   # transactional outbox (pipeline reliability)
    "stapel_recordings",
]

# urls.py
path("recordings/", include("stapel_recordings.urls"))

The transcribe / merge stages call stapel-agent by comm name — install and configure stapel-agent (or provide llm.transcribe / llm.summarize providers) for the pipeline to complete. The default convert stage needs ffmpeg/ffprobe on PATH (or set NORMALIZER to passthrough_normalize).

The pipeline is data you can edit

STAPEL_RECORDINGS = {
    # Reorder / subset / insert stages — no fork:
    "PIPELINE": ["convert", "transcribe", "redact_pii", "merge"],
    # Replace or add stage handlers (merge-over-builtins; None removes):
    "STAGES": {"diarize": "myproject.stages.PyannoteDiarizer"},
    # Or source the list at runtime (DB / per-workspace / per-recording):
    "PIPELINE_RESOLVER": "myproject.pipelines.resolve",
    # Swap the object store:
    "STORAGE": "stapel_recordings.storage.S3Backend",
}

A generic driver runs the resolved stage list, advancing the status machine and emitting the next stage through the outbox. See MODULE.md for the stage contract and worked examples.

Settings

All configuration lives in the STAPEL_RECORDINGS namespace (dict setting, flat setting, or env var — resolved lazily). See the full table in MODULE.md. Highlights: PIPELINE, STAGES, PIPELINE_RESOLVER, STORAGE, NORMALIZER, SUMMARIZE_ENABLED, MAX_STAGE_RETRIES.

comm surface

Kind Name Contract
Action (emit) recording.uploaded, recording.stage_completed, recording.completed, recording.failed pipeline lifecycle (public); the run events carry run_id + attempt — a reprocess is a new run, so meter on recording_id + run_id
Action (consume) recording.uploaded, recording.stage, user.deleted driver + GDPR erase
Function (call) llm.transcribe, llm.summarize provided by stapel-agent

Operations

python manage.py recordings_reconcile --once   # re-drive stuck recordings

Development

pip install -e . && pip install pytest pytest-django ruff jsonschema djangorestframework
./setup-hooks.sh
pytest tests/

License

MIT — see LICENSE.

This page is assembled by stapel-readme from docs/readme.md plus the contract artifacts in docs/. Edit the prose in docs/readme.md; the badges, facts and links above and below it are generated — do not hand-edit README.md.

Project links

Data verified by PyPI on Aug 24, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
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  • Released:
Newer release available (0.25.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for ucsoftworks from gravatar.com ucsoftworks

GitHub Statistics

Data verified by PyPI on Aug 24, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License (MIT)

Requires

Python >=3.11

Provides Extra

s3 vector qa all

Tags

django stapel recordings

Classifiers

Report project as malware

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