Skip to main content
Loss of provenance

A previous release had provenance metadata, but this release does not. View details.

laidline-vllm

vLLM Model Runner V2 logits processor for the Laidline text watermark (SynthID or KGW), plus an ack-header middleware. It is the only marking that has to live outside the sidecar.

  • Install it into vLLM's environment (it pulls in laidline[text]). The entry point vllm.logits_processors: laidline loads LaidlineTextWatermark with no flag needed; only requests that opt in are marked.
  • LAIDLINE_CONFIG names the Laidline config. The processor reads watermark.text from it. With no config file, or with text watermarking disabled, the processor logs a warning and marks nothing. An invalid config file raises an error.
  • It needs a vLLM with the Model Runner V2 logits-processor interface (vllm.v1.worker.gpu.sample.logits_processor). No release has it yet (not 0.19.1, not 0.30.0). The build tested on a GPU is nightly 0.30.1rc1.dev86+g5b3f280a6; export VLLM_USE_V2_MODEL_RUNNER=1 so vLLM cannot fall back to the V1 runner.
  • A request opts in with vllm_xargs.laidline, an object with key_id and scheme (both optional). Over HTTP, send the object JSON-encoded, as in "vllm_xargs": {"laidline": "{\"key_id\": \"k1\", \"scheme\": \"synthid\"}"}. vLLM's OpenAI server accepts only strings, numbers and lists as vllm_xargs values, and answers 400 to a nested object. The Python LLM API also takes a plain dict in SamplingParams.extra_args["laidline"]. The Laidline proxy sends the JSON form for you.
  • SynthID is skipped at temperature 0, so use scheme: kgw for greedy traffic. Speculative decoding is not supported: draft rows are left unmarked.
  • --middleware laidline_vllm.middleware.ack_header adds x-laidline-watermarked: 1 and x-laidline-scheme (the config's scheme, unknown without a usable config) to every response. It means "plugin installed", not "this response was marked"; the Laidline proxy treats unknown as no ack and checks greedy decoding itself. Use the dotted path: vLLM splits it on the last ., in 0.19.1 and in the tested nightly alike. The module:function form fails at startup.

Proven live on an RTX 5080 (SynthID and KGW, directly and through the proxy). Full guide: https://laidline.com/docs/integrations/vllm.

Metadata

Release files for laidline-vllm 1.0.1

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

Loss of provenance

These files do not have provenance metadata, despite files in a prior release including this data.

We recommend further investigation before installing these files. View details.

Source distribution (sdist)

Source distribution for laidline-vllm 1.0.1
File Size Uploaded Provenance Actions
laidline_vllm-1.0.1.tar.gz 14.5 kB Without provenance Details for laidline_vllm-1.0.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for laidline-vllm 1.0.1
File Interpreter ABI Platform Actions
laidline_vllm-1.0.1-py3-none-any.whl Python 3 none any Details for laidline_vllm-1.0.1-py3-none-any.whl

Total release size: 30.9 kB

Release files / laidline_vllm-1.0.1.tar.gz

Loss of provenance

This file belongs to a release without provenance metadata, despite a prior release including this data.

We recommend further investigation before installing this file. View details.

Download URL laidline_vllm-1.0.1.tar.gz
Size 14.5 kB
Tags Source
SHA-256 checksum
How to use checksums
b05ecc7bd3e5209de57af599ce13d0d5da23793ee4e0f6f810e22ab308a487de
BLAKE2b-256 checksum
How to use checksums
d9c6a2491207d41fe96cb62d3377870eccc0f553d0c4253aba62af613c9b76d8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.7

Release files / laidline_vllm-1.0.1-py3-none-any.whl

Loss of provenance

This file belongs to a release without provenance metadata, despite a prior release including this data.

We recommend further investigation before installing this file. View details.

Download URL laidline_vllm-1.0.1-py3-none-any.whl
Size 16.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
1094ee50cc727c15f77a7c8eebd333841f72585ad6b3b78c94a3fbf2acbb0b6d
BLAKE2b-256 checksum
How to use checksums
3fef5364630fa24485714a9a615ad5ef889b600bb47c49ed5329c14e5472e523
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.7

Security for laidline-vllm 1.0.1

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.

Loss of provenance

A previous release of these files had provenance metadata, but this release does not.

While this could reflect a routine change by the project maintainers, it may also indicate that the release files have been compromised.

Release comparison

  • Removed 1.0.0 2 files With provenance
  • Added 1.0.1 2 files Without provenance

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