Skip to main content

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

Metadata

Release files for lobster-ai-tui 1.1.431

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

Built distributions (wheels)

Table of built distributions (wheels) for lobster-ai-tui 1.1.431
File
lobster_ai_tui-1.1.431-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl Python 3 none Linux glibc 2.17+ x86-64 Details
lobster_ai_tui-1.1.431-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl Python 3 none Linux glibc 2.17+ ARM64 Details
lobster_ai_tui-1.1.431-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details
lobster_ai_tui-1.1.431-py3-none-macosx_10_16_x86_64.whl Python 3 none macOS 10.16+ x86-64 Details

Total release size: 23.9 MB

Release files / lobster_ai_tui-1.1.431-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl

Download URL lobster_ai_tui-1.1.431-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Size 6.2 MB
Tags Linux glibc 2.17+ x86-64 Python 3
SHA-256 checksum
How to use checksums
d0d8ef7c8a1870c20b99a078a4950454440910d6197a1f95bd3b19964442132c
BLAKE2b-256 checksum
How to use checksums
ed80d3c2b6657989f0efc814634dea9d341517ca0044830ab6632b4f85079bba
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 21, 2026.

Transparency log

Release files / lobster_ai_tui-1.1.431-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl

Download URL lobster_ai_tui-1.1.431-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
Size 5.6 MB
Tags Linux glibc 2.17+ ARM64 Python 3
SHA-256 checksum
How to use checksums
1182a748a031cfbc9441a8bbf1f593a0ac04847bc0e0cbf8d0b159ef010824fc
BLAKE2b-256 checksum
How to use checksums
7afee85d057d55398bd6503fc62769a2dcee3f576345f2b2ac34b5db2669fd73
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 21, 2026.

Transparency log

Release files / lobster_ai_tui-1.1.431-py3-none-macosx_11_0_arm64.whl

Download URL lobster_ai_tui-1.1.431-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
d26eb6a735220a9124a88924b75adee35797ed443056c6859678d2a3675176d9
BLAKE2b-256 checksum
How to use checksums
b721d893cd5b8564b549f573e2e9ace199ab3f4bedf7e276b68f570dc7cb42a3
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 21, 2026.

Transparency log

Release files / lobster_ai_tui-1.1.431-py3-none-macosx_10_16_x86_64.whl

Download URL lobster_ai_tui-1.1.431-py3-none-macosx_10_16_x86_64.whl
Size 6.3 MB
Tags Python 3 macOS 10.16+ x86-64
SHA-256 checksum
How to use checksums
7259fdce918c36565b71aa023903936a18d598ae2669f6e7259cc5258f64e36a
BLAKE2b-256 checksum
How to use checksums
854e6ef308c800d3989ab7bb2979e842f0d6222ade4c7bb634d69d174b8f0960
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 21, 2026.

Transparency log

Security for lobster-ai-tui 1.1.431

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.

Select from 4 files

Attestation for lobster_ai_tui-1.1.431-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 21, 2026.

Transparency log

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.

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