Hacktoberfest 2026:維護者為十月標記出來的 issue,仍然開放、適合新手。 瀏覽 Hacktoberfest issue

[bot] Instrument mlx-lm (136,095 weekly downloads)

未關閉
#852 0 則留言 0 個 reaction 已指派 0 人 在 GitHub 檢視

維護者通常 1 天內回覆

還沒有人認領這個 Issue。

評估

難度
4/5
預估耗時
3-5 天
新手友好度
52/100
Issue 類型
功能
描述清晰度
基本清楚
活躍度
活躍
技術堆疊
python

研究方向

Start by reading the existing HuggingFace Transformers integration under py/src/braintrust/integrations/ and inspect the integration matrix in py/pyproject.toml and sessions in py/noxfile.py. Review mlx_lm.generate.generate(), mlx_lm.generate.stream_generate(), and the mlx_lm.chat/server entry points. Done means native instrumentation exists, its package and test coverage are wired into the repository, and README.md documents the integration.

由索引模型根據 Issue 內容生成。

描述

new-integration python

What's missing

mlx-lm (Apple's MLX-based LLM generation/serving library for Apple Silicon) has no native instrumentation in the Braintrust Python SDK. There is no py/src/braintrust/integrations/mlx_lm/ directory, no entry in py/pyproject.toml [tool.braintrust.matrix], and no nox session in py/noxfile.py. The library provides execution-oriented generation APIs (mlx_lm.generate.generate(), mlx_lm.generate.stream_generate(), and the mlx_lm.chat/mlx_lm.server OpenAI-compatible serving entry points) that run local text-generation inference — directly analogous to the HuggingFace Transformers integration Braintrust already auto-instruments.

Weekly downloads

136,095 (as of 2026-10-05; https://pypistats.org/api/packages/mlx-lm/recent)

Braintrust docs status

not_found — searched site:braintrust.dev docs mlx-lm OR "MLX LM"; no dedicated Braintrust integration page or mention of MLX/mlx-lm exists in the Braintrust docs (https://www.braintrust.dev/docs).

Upstream sources

Local repo files inspected

  • README.md (root) — "Integrations included in braintrust" table, no MLX entry
  • py/pyproject.toml — grepped for mlx, no matches in [tool.braintrust.matrix] or dependency groups
  • py/noxfile.py — grepped for mlx, no matching session
  • py/src/braintrust/integrations/ — no mlx_lm subdirectory
  • repo-wide grep for mlx — no source-code references found outside this audit

Filed by an automated library-gap audit. Please verify before prioritizing.

主要語言
Python
星號
21
分支
23
平均合併
19 小時 23 分鐘
30 天內合併 PR
97

環境準備

  • 提供 Dockerfile 或 Docker Compose 檔案
  • 沒有 Pull Request 範本
  • 閱讀貢獻指南

從這裡開始

  1. 先讀完整個 Issue,再讀專案的貢獻指南。
  2. 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
  3. Fork 儲存庫,在一個分支上完成修改。
  4. 送出 Pull Request,並在描述裡引用這個 Issue 編號。

braintrustdata/braintrust-sdk-python 的其他 Issue

查看 braintrustdata/braintrust-sdk-python 的全部 Issue

相似的 Issue

更多 Python Issue

把新 issue 寄到你的電子郵件信箱

精選適合新手參與的 GitHub issue 摘要。