Gabriel Luiz Freitas Almeida 60e3ab4970 fix: Remove blanket real_time_refresh options stripping and add dynamic loading to CurrentDate (#11400)
* fix: Update timezone options loading for CurrentDateComponent

* fix: Remove real-time refresh options stripping to stabilize component index

* Enhance component options in component_index.json

- Added language model options for agent_llm: "Anthropic", "OpenAI" and "OpenAI", "Custom".
- Introduced model_name option: "Select a model".
- Expanded HTTP method options for method: "GET", "POST", "PATCH", "PUT", "DELETE".
- Updated mode options to include: "URL", "cURL".
- Added search_mode options: "Web", "News", "RSS".
- Defined environment options for Astra DB API Endpoint: "prod", "test", "dev".
- Specified search_method options: "Hybrid Search", "Vector Search".
- Included chunker options: "HybridChunker", "HierarchicalChunker".
- Added tokenizer provider options: "Hugging Face", "OpenAI".
- Defined export_format options: "Markdown", "HTML", "Plaintext", "DocTags".
- Introduced auth_mode options: "basic", "jwt".
- Updated pipeline options: "standard", "vlm".
- Specified storage_location options for reading and saving files: "Local", "AWS", "Google Drive".
- Expanded operator options for text comparison.
- Updated repo_source options: "Local", "Remote".
- Updated dependencies version for google to "2.5.0".
- Added model_id options for Hugging Face Hub.
- Defined base_url options for IBM API.
- Updated mode options for message operations: "Retrieve", "Store".
- Enhanced mirostat options: "Disabled", "Mirostat", "Mirostat 2.0".
- Expanded model_name options for various GPT models.
- Updated DataFrame operation options with icons.
- Enhanced text operation options with icons.
- Specified output_type options: "Message", "Data", "DataFrame".
- Updated CurrentDateComponent to dynamically load timezone options.

* [autofix.ci] apply automated fixes

---------

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
2026-01-21 20:47:47 +00:00
2025-03-20 00:05:55 +00:00
2024-06-04 09:26:13 -03:00
2025-11-24 02:02:01 +00:00
2025-12-19 16:48:08 +00:00
2025-12-19 16:48:08 +00:00

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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 3.103.13 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.

Caution

  • Users must update to Langflow >= 1.7.1 to protect against CVE-2025-68477 and CVE-2025-68478.
  • Langflow version 1.7.0 has a critical bug where persisted state (flows, projects, and global variables) cannot be found when upgrading. Version 1.7.0 was yanked and replaced with version 1.7.1, which includes a fix for this bug. DO NOT upgrade to version 1.7.0. Instead, upgrade directly to version 1.7.1.
  • Langflow versions 1.6.0 through 1.6.3 have a critical bug where .env files are not read, potentially causing security vulnerabilities. DO NOT upgrade to these versions if you use .env files for configuration. Instead, upgrade to 1.6.4, which includes a fix for this bug.
  • Windows users of Langflow Desktop should not use the in-app update feature to upgrade to Langflow version 1.6.0. For upgrade instructions, see Windows Desktop update issue.
  • Users must update to Langflow >= 1.3 to protect against CVE-2025-3248
  • Users must update to Langflow >= 1.5.1 to protect against CVE-2025-57760

For security information, see our Security Policy and Security Advisories.

🚀 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.

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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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