dbx-tools-model

Python contracts and runtime helpers for Databricks Model Serving. This package mirrors the reusable parts of @dbx-tools/shared-model and @dbx-tools/model without AppKit cache or Mastra dependencies.

Install from PyPI:

pip install dbx-tools-model

To install the current main branch directly from the repository instead:

pip install "dbx-tools-model @ git+https://github.com/reggie-db/dbx-tools.git@main#subdirectory=packages/py/model"

Key features:

  • stable Pydantic endpoint, profile, query, and ranked-result models;
  • live endpoint listing through a structural WorkspaceClient protocol;
  • canonical first-party service model names exposed through a typed serviceNames map on library endpoint results;
  • score-driven model classification with family fallbacks;
  • reasoning-effort levels inferred from Databricks served-entity identity, with endpoint-family fallback for summaries that omit it;
  • daily retirement-status discovery from the Databricks policy page, with a disk and memory cache plus a generated fallback, so endpoint listing excludes deprecated models even when the serving API reports them as ready;
  • flexible family, version, and model parsing shared by classification, reasoning, sorting, and downstream integrations;
  • exact and fuzzy endpoint resolution with deterministic class ordering;
  • Databricks invocation URL and process-serialized per-request authentication helpers, so concurrent SDK refreshes converge;
  • shared Responses-only endpoint policy, including Codex and GPT 5.4+ while excluding GPT-OSS;
  • OpenAI chat request sanitization, assistant-prefill repair, and content extraction;
  • embedding vector extraction with optional dimension validation.
from databricks.sdk import WorkspaceClient
from dbx_tools.model import ModelClass, list_serving_endpoints, resolve_model

endpoints = list_serving_endpoints(WorkspaceClient())
selection = resolve_model(endpoints, model_class=ModelClass.CHAT_BALANCED)
print(selection.model_id)
print(endpoints[0].service_names)
print(
    next(
        endpoint.reasoning_efforts for endpoint in endpoints if endpoint.name == selection.model_id
    )
)

The Python port intentionally omits AppKit CacheManager integration, Mastra-specific adapters, and browser-only schemas. Callers can cache the plain Pydantic results with their preferred Python cache.

Endpoint listing excludes deprecated models by default. Pass include_deprecated=True to include them alongside current endpoints. ModelQuery.include_deprecated defaults to False and applies the same behavior during model lookup through the includeDeprecated wire field. Every endpoint carries a status: ModelStatus field. model_status.get() resolves that dataclass from all known endpoint identities so additional status fields can be added in one place.

Model-name parsing produces provider-neutral components without maintaining a second family registry:

from dbx_tools.model.models import parse_model_name

parsed = parse_model_name("databricks-qwen35-122b-a10b")
assert parsed is not None
assert parsed.family == "qwen"
assert parsed.version == (3, 5)

Known first-party identities are keyed by ModelService, such as openai, anthropic, google, xai, deepseek, moonshot, alibaba, zhipu, and meta. A model without a canonical name on one of those services has no entry; the package does not invent names for third-party hosts.

Relationship to the Databricks SDK

Use the native SDK directly when an endpoint name is already known and its typed query method fits the request. Use this package when endpoint choice, stable cross-runtime models, OpenAI-shaped HTTP invocation, or provider-neutral chat and embedding normalization is the repetitive part.

Module map

  • models — Pydantic wire contracts plus shared family/version/model parsing;
  • reasoning — model-family and served-entity reasoning-level inference;
  • classify, classes, fallback — model taxonomy and ordering;
  • resolve — exact/fuzzy ranking and single-model selection;
  • serving — structural WorkspaceClient endpoint listing;
  • model_status - daily Databricks retirement-page refresh, parsing, caching, generated fallback selection, and centralized ModelStatus resolution;
  • invoke - URLs, Responses-only policy, process-serialized SDK authentication headers, and JSON POST helpers;
  • chat, embedding — request repair/sanitization and response extraction.

Project links

Data verified by PyPI on Sep 8, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.6.186)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for reggie-db from gravatar.com reggie-db

GitHub Statistics

Data verified by PyPI on Sep 8, 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.

Requires

Python <3.14, >=3.11

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dbx_tools_model-0.6.185.tar.gz (19.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dbx_tools_model-0.6.185-py3-none-any.whl (24.4 kB view details)

Uploaded Python 3

File details

Details for the file dbx_tools_model-0.6.185.tar.gz.

File metadata

  • Download URL: dbx_tools_model-0.6.185.tar.gz
  • Upload date:
  • Size: 19.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for dbx_tools_model-0.6.185.tar.gz
Algorithm Hash digest
SHA256 6a2dca0ece30e562088a07a064e64fb03f08a112c0686f49951311934455f530
MD5 720fe478f824b4ca3d04bc7258ac5158
BLAKE2b-256 2247d78ff2843246e586868b7bb13d52b4c1cbba8f68a07c437f56d80154d5dd

See more details on using hashes here.

Provenance

The following attestation bundles were made for dbx_tools_model-0.6.185.tar.gz:

Publisher: release.yml on reggie-db/dbx-tools

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file dbx_tools_model-0.6.185-py3-none-any.whl.

File metadata

File hashes

Hashes for dbx_tools_model-0.6.185-py3-none-any.whl
Algorithm Hash digest
SHA256 11780b6145ca7086f21a1dd870f9b2f0427d6e47bf4478967fb7c4ac9a8e164e
MD5 5e6bd3918375d4233cde40c13ba2a962
BLAKE2b-256 8afb3e963f4bef14635da9e3fbfa97899825c263e9d3acf0ad5b4bdb8f85c5a8

See more details on using hashes here.

Provenance

The following attestation bundles were made for dbx_tools_model-0.6.185-py3-none-any.whl:

Publisher: release.yml on reggie-db/dbx-tools

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

0.6.186

2 files

This release

0.6.185 This release

2 files

0.6.183

2 files

0.6.182

2 files

0.6.181

2 files

0.6.180

2 files

0.6.179

2 files

0.6.177

2 files

0.6.176

2 files

0.6.175

2 files

0.6.174

2 files

0.6.173

2 files

0.6.172

2 files

0.6.171

2 files

0.6.170

2 files

0.6.168

2 files

0.6.163

2 files

0.6.161

2 files

0.6.160

2 files

0.6.158

2 files

0.6.153

2 files

0.6.147

2 files

0.6.146

2 files

0.6.145

2 files

0.6.144

2 files

0.6.143

2 files

0.6.142

2 files

0.6.141

2 files

0.6.140

2 files

0.6.139

2 files

0.6.138

2 files

0.6.137

2 files

0.6.136

2 files

0.6.135

2 files

0.6.134

2 files

0.6.133

2 files

0.6.131

2 files

0.6.130

2 files

0.6.129

2 files

0.6.128

2 files

0.6.127

2 files

0.6.126

2 files

0.6.125

2 files

0.6.124

2 files

0.6.123

2 files

0.6.122

2 files

0.6.121

2 files

0.6.120

2 files

0.6.119

2 files

0.6.118

2 files

0.6.117

2 files

0.6.116

2 files

0.6.115

2 files

0.6.114

2 files

0.6.113

2 files

0.6.112

2 files

0.6.111

2 files

0.6.110

2 files

0.6.109

2 files

0.6.108

2 files

0.6.107

2 files

0.6.106

2 files

0.6.105

2 files

0.6.104

2 files

0.6.103

2 files

0.6.102

2 files

0.6.101

2 files

0.6.100

2 files

0.6.99

2 files

0.6.98

2 files

0.6.97

2 files

0.6.96

2 files

0.6.95

2 files

0.6.94

2 files

0.6.93

2 files

0.6.92

2 files

0.6.91

2 files

0.6.90

2 files

0.6.89

2 files

0.6.88

2 files

0.6.87

2 files

0.6.86

2 files

0.6.85

2 files

0.6.82

2 files

0.6.78

2 files

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