Skip to main content

Matyan API Models

Shared Pydantic models for the Matyan stack. Used by matyan-frontier (WebSocket + Kafka producer), matyan-backend (Kafka consumers, API), and matyan-client (WebSocket and REST client). Part of the Matyan experiment-tracking stack (fork of Aim).

Layout

  • src/matyan_api_models/ — Python package. No CLI or server; import as a library.
  • ws/ — WebSocket request and response models: CreateRunWsRequest, LogMetricWsRequest, LogHParamsWsRequest, FinishRunWsRequest, SetRunPropertyWsRequest, AddTagWsRequest, RemoveTagWsRequest, LogCustomObjectWsRequest, LogTerminalLineWsRequest, LogRecordWsRequest, BlobRefWsRequest, WsRequestTAdapter, WsResponse.
  • kafka/ — Kafka message models: IngestionMessage (envelope for the data-ingestion topic), ControlEvent (for the control-events topic).
  • Root — RunCreateRequest, RunCreateResponse; LogHParamsResponse, LogMetricResponse, ReadMetricResponse.

Source of truth for the wire format between frontier, backend, and client.

Prerequisites

  • Python 3.10+. Single dependency: pydantic~=2.0. The monorepo uses uv; from the package dir: uv sync then import matyan_api_models.

Usage

Install as a dependency (editable in the monorepo):

# From repo root or extra/matyan-api-models
uv sync

Then in Python:

from matyan_api_models.ws import CreateRunWsRequest, WsResponse
from matyan_api_models.kafka import IngestionMessage
from matyan_api_models import RunCreateRequest, RunCreateResponse

Frontier validates WebSocket payloads with WsRequestTAdapter and publishes IngestionMessage to Kafka; backend workers consume IngestionMessage and ControlEvent; the client builds WS requests from these models.

  • Frontier: Accepts WebSocket messages and REST run-creation; produces IngestionMessage to Kafka.
  • Backend: Consumes IngestionMessage and ControlEvent; uses run-creation and response models for REST.
  • Client: Builds WebSocket requests and run-creation requests from these models.
  • Monorepo: This package lives under extra/matyan-api-models in the matyan-core repo.

Metadata

Release files for matyan-api-models 0.2.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for matyan-api-models 0.2.1
File Size Uploaded Provenance Actions
matyan_api_models-0.2.1.tar.gz 28.0 kB With provenance Details for matyan_api_models-0.2.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for matyan-api-models 0.2.1
File Interpreter ABI Platform Actions
matyan_api_models-0.2.1-py3-none-any.whl Python 3 none any Details for matyan_api_models-0.2.1-py3-none-any.whl

Total release size: 42.1 kB

Release files / matyan_api_models-0.2.1.tar.gz

Download URL matyan_api_models-0.2.1.tar.gz
Size 28.0 kB
Tags Source
SHA-256 checksum
How to use checksums
56a4f7a9b83e353658eb609ad94151873f1926d64dd665e94d301d9200ffa54e
BLAKE2b-256 checksum
How to use checksums
0388acad7c68575673f8e9e4fad0df446e7024fd8a138a01cc6598e0998d97df
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Mar 20, 2026.

Transparency log

Release files / matyan_api_models-0.2.1-py3-none-any.whl

Download URL matyan_api_models-0.2.1-py3-none-any.whl
Size 14.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
0ee288d49f056bc071d8345aa4c8d68fcdc76eb0a7cd959819821e7ef87179c5
BLAKE2b-256 checksum
How to use checksums
c88596a8eec89d14996ef5db409b4c735fd2cc466f9499282926260f66962666
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Mar 20, 2026.

Transparency log

Security for matyan-api-models 0.2.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for matyan_api_models-0.2.1.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Mar 20, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page