Ram Gopal Srikar Katakam 8d1ff75799 fix(i18n): translate QA-identified missing strings for 1.10.0 (#13503)
* fix(i18n): translate missing frontend strings found in QA

- API Keys page: replace hardcoded "Never" with t("settings.apiKeys.never")
- New Flow screen: migrate all WELCOME_* string constants in
  flow-builder-welcome.tsx to t() calls; remove string constants from
  flow-builder-welcome.constants.ts (keep WELCOME_MAX_INPUT_LENGTH)
- Get Started sidebar card: add useTranslation and replace 5 hardcoded
  strings (All Set, Get started, Star repo, Join the community, Create a
  flow) with existing sidebar.* i18n keys
- en.json: add settings.apiKeys.never + 10 flowBuilderWelcome.* keys
- All non-English locale files (ja, fr, es, de, pt, zh-Hans) updated via
  GP upload/download

* fix(i18n): translate additional QA-identified untranslated strings

- Translate canvas assistant banner ("Try the new Langflow Assistant!", "New" pill)
- Translate search placeholder flow type name (was showing raw "flows"/"mcp" in mixed-language)
- Translate UNNAMED tool badge in ToolsComponent and ToolsTable
- Extract all 61 flow default descriptions to i18n keys (flow.defaultDescription.0-60)
  so new flows get a localized random description instead of always English
- Fix backend ja.json: "Vector Store RAG" → "ベクターストア RAG" for consistency
  with the frontend welcome screen translation
- Run GP upload+download to populate fr, ja, es, de, pt, zh-Hans locales

* [autofix.ci] apply automated fixes

* fix(i18n): fix CI failures — Biome import order and updated test constants

- Fix Biome import sort in flow-builder-welcome.tsx (lucide-react after react)
- Update flow-builder-welcome test to use inline English strings instead of
  importing the deleted WELCOME_* constants from flow-builder-welcome.constants

* fix(i18n): truncate long checklist labels with tooltip in get-started sidebar

Long translations (e.g. Japanese) were wrapping to two lines in the narrow
sidebar. Now each label truncates with ellipsis and shows the full text in a
tooltip on hover. Icons also get shrink-0 to stay fixed-size.

* [autofix.ci] apply automated fixes

* fix(i18n): align assistant banner translation with panel title in ja, es, pt

GP inconsistently kept "Assistant" in English in the banner string while
translating it natively in the panel title. Patched directly:
- ja: "Assistant" → "アシスタント"
- es: "Assistant" → "Asistente"
- pt: "Assistant" → "Assistente"
fr, de, zh-Hans were already consistent.

---------

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
2026-06-05 14:33:39 +00:00
2025-03-20 00:05:55 +00:00
2026-04-23 17:49:53 -07:00
2024-06-04 09:26:13 -03:00

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Langflow is a powerful platform for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.

Highlight features

  • Visual builder interface to quickly get started and iterate.
  • Source code access lets you customize any component using Python.
  • Interactive playground to immediately test and refine your flows with step-by-step control.
  • Multi-agent orchestration with conversation management and retrieval.
  • Deploy as an API or export as JSON for Python apps.
  • Deploy as an MCP server and turn your flows into tools for MCP clients.
  • Observability with LangSmith, LangFuse and other integrations.
  • Enterprise-ready security and scalability.

🖥️ Langflow Desktop

Langflow Desktop is the easiest way to get started with Langflow. All dependencies are included, so you don't need to manage Python environments or install packages manually. Available for Windows and macOS.

📥 Download Langflow Desktop

Quickstart

Requires Python 3.103.14 and uv (recommended package manager).

Install

From a fresh directory, run:

uv pip install langflow -U

The latest Langflow package is installed. For more information, see Install and run the Langflow OSS Python package.

Run

To start Langflow, run:

uv run langflow run

Langflow starts at http://127.0.0.1:7860.

That's it! You're ready to build with Langflow! 🎉

📦 Other install options

Run from source

If you've cloned this repository and want to contribute, run this command from the repository root:

make run_cli

For more information, see DEVELOPMENT.md.

Docker

Start a Langflow container with default settings:

docker run -p 7860:7860 langflowai/langflow:latest

Langflow is available at http://localhost:7860/. For configuration options, see the Docker deployment guide.

🛡️ Security

For security information, see our Security Policy.

🚀 Deployment

Langflow is completely open source and you can deploy it to all major deployment clouds. To learn how to deploy Langflow, see our Langflow deployment guides.

Stay up-to-date

Star Langflow on GitHub to be instantly notified of new releases.

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👋 Contribute

We welcome contributions from developers of all levels. If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.


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Description
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
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