lobster-ai-tui
Platform-specific Go TUI binary for Lobster AI.
This package provides the lobster-tui binary — a native terminal UI built with the
Charm stack (BubbleTea, Bubbles, Lipgloss, Glamour). It is
automatically installed as a dependency of lobster-ai on supported platforms.
Supported Platforms
- Linux x86_64 (amd64)
- Linux ARM64 (aarch64)
- macOS ARM64 (Apple Silicon)
- macOS x86_64 (Intel)
Usage
This package is not intended to be used directly. Install lobster-ai and run:
lobster chat # Uses Go TUI by default
lobster chat --classic # Fall back to Python Rich/Textual UI
Binary Discovery
The lobster-ai CLI finds the binary via lobster_ai_tui.get_binary_path():
from lobster_ai_tui import get_binary_path
binary = get_binary_path() # Returns Path to lobster-tui binary
1 maintainer
Metadata
1 maintainer
Release files for lobster-ai-tui 1.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Actions Reset | |||
|---|---|---|---|---|
| lobster_ai_tui-1.2.0-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl | Python 3 | none | Linux glibc 2.17+ x86-64 | Details for lobster_ai_tui-1.2.0-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl |
| lobster_ai_tui-1.2.0-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl | Python 3 | none | Linux glibc 2.17+ ARM64 | Details for lobster_ai_tui-1.2.0-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl |
| lobster_ai_tui-1.2.0-py3-none-macosx_11_0_arm64.whl | Python 3 | none | macOS 11.0+ ARM64 | Details for lobster_ai_tui-1.2.0-py3-none-macosx_11_0_arm64.whl |
| lobster_ai_tui-1.2.0-py3-none-macosx_10_16_x86_64.whl | Python 3 | none | macOS 10.16+ x86-64 | Details for lobster_ai_tui-1.2.0-py3-none-macosx_10_16_x86_64.whl |
Total release size: 24.2 MB
Release files / lobster_ai_tui-1.2.0-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
| Download URL | lobster_ai_tui-1.2.0-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl |
|---|---|
| Size | 6.3 MB |
| Tags | Linux glibc 2.17+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
47984c5a0250ccd2f9a9200abb79b9c600c0e631f929b6c33ab6a01b8495f08f
|
|
BLAKE2b-256 checksum How to use checksums |
3ae07cb88bb3e250fcf72979468649b92b2a316b1ae0a5f2da71303de7cdac6d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 30, 2026.
Transparency logRelease files / lobster_ai_tui-1.2.0-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
| Download URL | lobster_ai_tui-1.2.0-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl |
|---|---|
| Size | 5.7 MB |
| Tags | Linux glibc 2.17+ ARM64 Python 3 |
|
SHA-256 checksum How to use checksums |
570c8a5cab734151ffb3df128cdcf6bdab8205af8d40278fea144b8df175c578
|
|
BLAKE2b-256 checksum How to use checksums |
96b0673d18a46ba3b25715a0ff065576deb6b9e1897ebcdf686146c58bd7d429
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 30, 2026.
Transparency logRelease files / lobster_ai_tui-1.2.0-py3-none-macosx_11_0_arm64.whl
| Download URL | lobster_ai_tui-1.2.0-py3-none-macosx_11_0_arm64.whl |
|---|---|
| Size | 5.9 MB |
| Tags | Python 3 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
a565e791ba80179cfbca333d8a604531902c443e4832abc63235847c6820a2cb
|
|
BLAKE2b-256 checksum How to use checksums |
6c19339feaa4f54d114d30cd55660d25f2a492ce0e52a7b6830ab8f1692362d6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 30, 2026.
Transparency logRelease files / lobster_ai_tui-1.2.0-py3-none-macosx_10_16_x86_64.whl
| Download URL | lobster_ai_tui-1.2.0-py3-none-macosx_10_16_x86_64.whl |
|---|---|
| Size | 6.4 MB |
| Tags | Python 3 macOS 10.16+ x86-64 |
|
SHA-256 checksum How to use checksums |
8541325ec8966b2aa199df5260893878b3b8ada74d3354c3be4f7e5ad840559a
|
|
BLAKE2b-256 checksum How to use checksums |
e222bb79ce8b2796e974f29f8d97991eb0f3a5a5fcbf62b600d69b9748fef928
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 30, 2026.
Transparency logSecurity for lobster-ai-tui 1.2.0
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.
Full provenance
All 4 files in this release have been uploaded with provenance metadata.
Attestation for lobster_ai_tui-1.2.0-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 30, 2026.
Transparency logA 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.
