[bot] Instrument SGLang offline engine (574,007 weekly downloads)
Dieses Issue hat noch niemand übernommen.
Bewertung
- Schwierigkeit
- 4/5
- Geschätzter Aufwand
- 3-5 Tage
- Anfängerfreundlichkeit
- 55/100
Rechercherichtung
Start with py/src/braintrust/integrations/cohere/patchers.py and inspect py/src/braintrust/integrations/, py/src/braintrust/wrappers/, py/pyproject.toml, and py/noxfile.py for existing integration patterns. Read SGLang's Offline Engine API documentation first; done means the listed generate, async_generate, encode, and rerank paths, including streaming and VLM inputs, produce Braintrust spans with project registration and validation coverage.
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Beschreibung
<!-- library-gap-audit: sglang-offline-engine -->
Summary
sglang is a high-performance LLM/multimodal serving framework with RadixAttention, continuous batching, and speculative decoding, positioned alongside vllm (already tracked as a separate open instrumentation gap in this repo) as one of the two dominant open-source inference engines. This repository has zero instrumentation for it.
- Current version 0.5.20 (released 2026-09-18), under very active development
- Not present in
py/pyproject.toml[tool.braintrust.matrix], nonoxfile.pysession, no directory underpy/src/braintrust/integrations/orpy/src/braintrust/wrappers/ - Repo-wide grep for
sglangunderpy/returns zero matches
What is missing
SGLang's in-process Offline Engine API (sglang.Engine, docs: https://docs.sglang.io/docs/basic_usage/offline_engine_api) is the primary way Python applications call it directly (as opposed to going through its OpenAI-compatible HTTP server, which a user could separately point the already-instrumented openai client at). None of these produce a Braintrust span today:
Engine.generate()— synchronous text/chat generation, non-streaming and streaming variantsEngine.async_generate()— asyncio generation entrypoint, non-streaming and streaming variants; this is the method the framework's own example server-wrapping code (examples/runtime/engine/custom_server.py) uses to build custom serving layersEngine.encode()— embedding execution (e.g. BERT-base/e5-mistral style models) for retrieval/similarity use casesEngine.rerank()— query/document relevance scoring, analogous to thecohere.rerankspan type this repo already instruments (py/src/braintrust/integrations/cohere/patchers.py)
This engine also supports vision-language model (VLM) inference via the same generate()/async_generate() surface with image inputs.
Weekly downloads
Weekly downloads: 574,007 (as of 2026-09-21; https://pypistats.org/api/packages/sglang/recent)
Braintrust docs status
not_found — checked https://www.braintrust.dev/docs/integrations/ai-providers and https://www.braintrust.dev/docs/guides/traces/integrations; neither mentions SGLang. (vllm, the closest analog, is also absent from both pages and is tracked separately.)
Upstream sources
- GitHub: https://github.com/sgl-project/sglang
- PyPI: https://pypi.org/project/sglang/ (v0.5.20, released 2026-09-18)
- Offline Engine API docs: https://docs.sglang.io/docs/basic_usage/offline_engine_api
Local repo files inspected
py/src/braintrust/integrations/— nosglang/directorypy/src/braintrust/wrappers/— no SGLang wrapperpy/pyproject.toml[tool.braintrust.matrix]— nosglangentrypy/noxfile.py— notest_sglangsession- Repo-wide case-insensitive grep for
sglangunderpy/— zero matches
- Vorherrschende Sprache
- Python
- Sterne
- 19
- Forks
- 17
- Ø Merge
- 1 T. 5 Std.
- Gemergte PRs (30 T.)
- 61
Beitragsleitfaden
Erste Schritte
- Lesen Sie das ganze Issue und danach den Beitragsleitfaden des Projekts.
- Schreiben Sie ins Issue, dass Sie es übernehmen — das erspart doppelte Arbeit.
- Forken Sie das Repository und arbeiten Sie in einem Branch.
- Öffnen Sie einen Pull Request, der die Issue-Nummer nennt.
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