Jump to content

Connect SuperML | Leeroopedia MCP: Equip your AI agents with best practices, code verification, and debugging knowledge. Powered by Leeroo — building Organizational Superintelligence. Contact us at founders@leeroo.com.

Implementation:Bentoml BentoML YataiClient

From Leeroopedia
Revision as of 12:08, 16 February 2026 by Admin (talk | contribs) (Auto-imported from implementations/Bentoml_BentoML_YataiClient.md)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Knowledge Sources
Domains Cloud, Model Management, Bento Management, Remote Storage
Last Updated 2026-02-13 15:00 GMT

Overview

The YataiClient class provides push and pull operations for synchronizing both BentoML Bentos and Models between local stores and a remote Yatai server.

Description

YataiClient is the legacy client for interacting with the Yatai model and bento management server. It implements four main operations:

  • push_bento(): Pushes a Bento (including its dependent models) to the Yatai server. Models are pushed concurrently using a thread pool before the Bento archive itself is uploaded.
  • pull_bento(): Pulls a Bento from the Yatai server, downloading dependent models concurrently and extracting the Bento tar archive into the local store.
  • push_model(): Pushes a single model to the Yatai server using proxy, presigned URL, or multipart upload strategies.
  • pull_model(): Pulls a single model from the Yatai server with support for version resolution (including "latest"), presigned URL downloads, and local caching.

All upload methods support three transmission strategies: proxy (upload through the Yatai API server), presigned_url (direct upload to object storage), and multipart (chunked upload for large files). Progress is tracked through a Spinner with rich progress bars. Thread-safe I/O progress tracking is ensured via mutex locks.

Usage

Used internally by BentoML when users interact with the Yatai server (the legacy centralized model/bento management platform). This is the backend for bentoml push and bentoml pull CLI commands when a Yatai server context is configured.

Code Reference

Source Location

Signature

class YataiClient:
    def __init__(self) -> None: ...

    def push_bento(self, bento: Bento, *, force: bool = False,
                   threads: int = 10, context: str | None = None) -> None: ...

    def pull_bento(self, tag: str | Tag, *, force: bool = False,
                   context: str | None = None,
                   bento_store: BentoStore = ...) -> Bento: ...

    def push_model(self, model: Model, *, force: bool = False,
                   threads: int = 10, context: str | None = None) -> None: ...

    def pull_model(self, tag: str | Tag, *, force: bool = False,
                   context: str | None = None,
                   model_store: ModelStore = ...,
                   query: str | None = None) -> Model: ...

Import

from bentoml._internal.cloud.yatai import YataiClient

I/O Contract

Inputs

push_bento()

Name Type Required Description
bento Bento Yes The Bento to push to Yatai, including its dependent models
force bool No Force push even if the Bento already exists on Yatai (default: False)
threads int No Number of threads for multipart upload (default: 10)
context str or None No The Yatai context/endpoint configuration name

pull_bento()

Name Type Required Description
tag str or Tag Yes The tag of the Bento to pull
force bool No Force pull even if the Bento exists locally (default: False)
context str or None No The Yatai context/endpoint configuration name
bento_store BentoStore No The local bento store (injected via DI)

push_model()

Name Type Required Description
model Model Yes The Model to push to Yatai
force bool No Force push even if the model already exists (default: False)
threads int No Number of threads for multipart upload (default: 10)
context str or None No The Yatai context/endpoint configuration name

pull_model()

Name Type Required Description
tag str or Tag Yes The tag of the model to pull
force bool No Force pull even if the model exists locally (default: False)
context str or None No The Yatai context/endpoint configuration name
model_store ModelStore No The local model store (injected via DI)
query str or None No Query string for filtering the latest model version

Outputs

Method Return Type Description
push_bento() None Uploads the Bento and its models; raises BentoMLException on failure
pull_bento() Bento The pulled Bento instance saved to the local store
push_model() None Uploads the model; raises BentoMLException on failure
pull_model() Model The pulled Model instance saved to the local store

Usage Examples

from bentoml._internal.cloud.yatai import YataiClient
import bentoml

# Create client instance
yatai_client = YataiClient()

# Push a bento to Yatai
bento = bentoml.bentos.get("my_service:latest")
yatai_client.push_bento(bento, force=False, context="default")

# Pull a bento from Yatai
pulled_bento = yatai_client.pull_bento("my_service:v1", context="default")

# Push a model to Yatai
model = bentoml.models.get("my_model:latest")
yatai_client.push_model(model, force=False, context="default")

# Pull a model from Yatai
pulled_model = yatai_client.pull_model("my_model:latest", context="default")

Related Pages

Page Connections

Double-click a node to navigate. Hold to expand connections.
Principle
Implementation
Heuristic
Environment