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Package Details: python-anthropic 1.12.1-1
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| Git Clone URL: | https://aur.archlinux.org/python-anthropic.git (read-only, click to copy) |
|---|---|
| Package Base: | python-anthropic |
| Description: | Python library that provides convenient access to the Anthropic REST API |
| Upstream URL: | https://github.com/anthropics/anthropic-sdk-python |
| Licenses: | MIT |
| Submitter: | carsme |
| Maintainer: | Auerhuhn |
| Last Packager: | Auerhuhn |
| Votes: | 5 |
| Popularity: | 1.13 |
| First Submitted: | 2024-03-23 18:05 (UTC) |
| Last Updated: | 2026-10-08 08:33 (UTC) |
Dependencies (26)
- python
- python-anyio
- python-docstring-parserAUR
- python-httpx2
- python-jiter
- python-pydantic
- python-pydantic-core
- python-sniffio
- python-standardwebhooksAUR
- python-typing_extensions
- python-build (make)
- python-hatch-fancy-pypi-readme (make)
- python-hatchling (python-hatchling-gitAUR) (make)
- python-installer (make)
- python-wheel (make)
- python-boto3 (python-boto3-gitAUR) (check)
- python-botocore (python-botocore-gitAUR) (check)
- python-dirty-equals (check)
- python-pytest (check)
- python-pytest-asyncio (check)
- Show 6 more dependencies...
Required by (34)
- askora
- browser-use-cli (optional)
- cheetahclaws-git
- docmancer-git (optional)
- gabagent (optional)
- graphify (optional)
- hyprland-agent
- inventory-md (optional)
- jcodemunch-mcp (optional)
- litellm (optional)
- mcp-handley-lab-git
- open-webui-no-venv
- oterm
- pipelex
- python-crewai (optional)
- python-dspy (optional)
- python-fastmcp (optional)
- python-fastmcp-slim (optional)
- python-gpt-command-line
- python-hermes-agent (optional)
- Show 14 more...
Latest Comments
1 2 Next › Last »
Auerhuhn commented on 2026-10-03 21:17 (UTC)
@qubeck Thanks for the pointer. Going to retry the build.
qubeck commented on 2026-10-03 17:07 (UTC)
python-httpx2is already2.13.0-1. Could you update this now?Auerhuhn commented on 2026-08-29 18:10 (UTC)
Updated to 0.125.0.
All 1.x releases are currently blocked by python-httpx2, which needs to be bumped to v2.9.0 or higher for python-anthropic v1.x to work.
Maxr commented on 2026-08-29 15:52 (UTC)
Please update or orphan, is outdated for weeks now.
bytemixer commented on 2026-07-30 08:34 (UTC) (edited on 2026-07-30 08:35 (UTC) by bytemixer)
Build fails on my machines, giving this error:
tijko commented on 2026-06-03 22:34 (UTC)
Getting failed to install
exit status (8)Auerhuhn commented on 2026-04-27 12:40 (UTC)
I have adopted the package, bumped the version and fixed the outstanding issues.
Auerhuhn commented on 2026-03-19 18:04 (UTC)
Hi @envolution,
thanks for maintaining this PKGBUILD.
Would you mind bumping it to the latest stable release?
Yours is twelve upstream releases behind, blocking other packages such as python-llm-anthropic.
Thanks!
Claudia
envolution commented on 2025-10-21 17:29 (UTC)
@sashank I've included your suggestion to remove the filterwarnings block, however the flags you suggested are unrecognised by pytest
I've installed pytest-benchmark and re-ran checks without issue
sashank commented on 2025-10-17 15:53 (UTC)
Hey @envolution,
So I think python-pytest-benchmark is required by CUDA python amongst other packages related to this whole AI stuff we're all working with, so its hard to uninstall it or python-pytest-xdist (which I tried for while, but this package forced me install it again).
So it seems like its an ongoing issue in regards to the conflict between benchmark and xdist: https://github.com/ionelmc/pytest-benchmark/issues/286
The above hints that we should look at the pytest config, which we'll find in pyproject.toml
What do you think of the idea of patching pyproject.toml, particularly this section?:
So the first idea is to remove the lines
filterwarnings = [ "error" ].Another is that we could modify the addopts line to : `addopts = "--benchmark-disable --tb=short -n auto"'
I get that flag from the benchmark changelog: https://pytest-benchmark.readthedocs.io/en/latest/changelog.html#b2-2015-10-17
Another flag we could try is --benchmark-skip?
And then we can ask upstream anthropics folk to do the same?
What are your thoughts?
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