This release is a pre-release and may not be stable for production use.
pyserq
serQ in Python. serQ is a language in which an LLM serving deployment is a
program; pyserq compiles a program to its IR and runs it, in process, and
gives what the serq CLI gives.
import pyserq
p = pyserq.compile("mg1.sq", sets={"lam": 0.8}, seed=10, horizon=250000, warmup=25000)
r = pyserq.run(p) # the GIL is released while it runs
r.json() # what `serq run --json` prints
o = r.observe("response") # o.mean, o.ci, o.samples, o.times
pyserq.draw("mg1.sq", format="svg") # what `serq draw --format svg` prints
pip install pyserq # a release
pip install --pre pyserq # the latest commit on main (X.Y.Z.devN)
Wheels: linux x86_64 (manylinux), macOS arm64; Python 3.9 and later (abi3).
The version is serq's: pyserq.__version__ is the crate it was built from.
1 maintainer
Metadata
1 maintainer
Release files for pyserq 0.1.5.dev50
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyserq-0.1.5.dev50-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.9 | abi3 | Linux glibc 2.17+ x86-64 | Details |
| pyserq-0.1.5.dev50-cp39-abi3-macosx_11_0_arm64.whl | CPython 3.9 | abi3 | macOS 11.0+ ARM64 | Details |
Total release size: 2.6 MB
Release files / pyserq-0.1.5.dev50-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | pyserq-0.1.5.dev50-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 1.4 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 abi3 |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / pyserq-0.1.5.dev50-cp39-abi3-macosx_11_0_arm64.whl
| Download URL | pyserq-0.1.5.dev50-cp39-abi3-macosx_11_0_arm64.whl |
|---|---|
| Size | 1.2 MB |
| Tags | CPython 3.9 abi3 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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