Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
e4cf3e2b9b* ✨ (ChatCodeTabComponent.tsx): add data-testid attribute to ChatCodeTabComponent for testing purposes 🔧 (TemplateCardComponent/index.tsx): add data-testid attribute with dynamic value for testing 🔧 (sidebarDraggableComponent/index.tsx): import convertTestName function and add data-testid attribute with dynamic value for testing 🔧 (Custom Component Generator.spec.ts): add test for Custom Component Generator with Playwright 🔧 (Image Sentiment Analysis.spec.ts): add test for Image Sentiment Analysis with Playwright ✅ (Instagram Copywriter.spec.ts, Market Research.spec.ts): Add integration tests for Instagram Copywriter and Market Research functionalities. ✨ (Prompt Chaining.spec.ts): Add integration test for Prompt Chaining feature ✨ (SEO Keyword Generator.spec.ts): Add integration test for SEO Keyword Generator feature ✨ (SaaS Pricing.spec.ts): Add integration test for SaaS Pricing feature ✨ (Twitter Thread Generator.spec.ts): Add integration test for Twitter Thread Generator feature * ✨ (Custom Component Generator.spec.ts): Update environment variable name from OPENAI_API_KEY to ANTHROPIC_API_KEY for consistency and clarity 📝 (Custom Component Generator.spec.ts): Update test descriptions to reflect the correct environment variable names and requirements 📝 (Instagram Copywriter.spec.ts): Add support for TAVILY_API_KEY environment variable in tests and update test descriptions to reflect the change * 📝 Add test utilities for updating components, adding new API keys, adjusting screen view, awaiting bootstrap test, and getting all response messages. * 📝 (Custom Component Generator.spec.ts): Add waitForOpenModalWithChatInput utility function for better code organization and readability 📝 (Image Sentiment Analysis.spec.ts): Add buildDataTransfer utility function for better code organization and readability 📝 (Instagram Copywriter.spec.ts): Add waitForOpenModalWithChatInput utility function for better code organization and readability 📝 (Market Research.spec.ts): Add waitForOpenModalWithChatInput utility function for better code organization and readability 📝 (Prompt Chaining.spec.ts): Add waitForOpenModalWithChatInput utility function for better code organization and readability 📝 (SEO Keyword Generator.spec.ts): Add waitForOpenModalWithoutChatInput utility function for better code organization and readability 📝 (SaaS Pricing.spec.ts): Add waitForOpenModalWithoutChatInput utility function for better code organization and readability 📝 (Twitter Thread Generator.spec.ts): Add waitForOpenModalWithoutChatInput utility function for better code organization and readability 📝 (build-data-transfer.ts): Add buildDataTransfer utility function for better code organization and readability 📝 (wait-for-open-modal.ts): Add waitForOpenModalWithChatInput and waitForOpenModalWithoutChatInput utility functions for better code organization and readability * 🔧 (ci.yml): add ANTHROPIC_API_KEY and TAVILY_API_KEY secrets for CI workflows 🔧 (nightly_build.yml): add ANTHROPIC_API_KEY and TAVILY_API_KEY secrets for nightly build jobs 🔧 (typescript_test.yml): add ANTHROPIC_API_KEY and TAVILY_API_KEY secrets for TypeScript test workflows * feat: Add initialGPTsetup utility function for setting up GPT environment This commit adds the initialGPTsetup utility function to the test/utils directory. The function is responsible for setting up the GPT environment by performing tasks such as adjusting the screen view, updating old components, removing old API keys, adding new API keys, and selecting the GPT model. The function accepts optional parameters to skip specific tasks if needed. * change to utility function * change to utility function * change to utility function * change to utility function * change to utility function * change to utility function * change to utility function * change to utility function --------- Co-authored-by: anovazzi1 <otavio2204@gmail.com> |
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| CODE_OF_CONDUCT.md | ||
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| pyproject.toml | ||
| README.ES.md | ||
| README.ja.md | ||
| README.KR.md | ||
| README.md | ||
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Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Docs - Free Cloud Service - Self Managed
✨ Core features
- Python-based and agnostic to models, APIs, data sources, or databases.
- Visual IDE for drag-and-drop building and testing of workflows.
- Playground to immediately test and iterate workflows with step-by-step control.
- Multi-agent orchestration and conversation management and retrieval.
- Free cloud service to get started in minutes with no setup.
- Publish as an API or export as a Python application.
- Observability with LangSmith, LangFuse, or LangWatch integration.
- Enterprise-grade security and scalability with free DataStax Langflow cloud service.
- Customize workflows or create flows entirely just using Python.
- Ecosystem integrations as reusable components for any model, API or database.
📦 Quickstart
- Install with pip (Python 3.10 to 3.12):
pip install langflow
- Install with uv (Python 3.10 to 3.12):
uv pip install langflow
- Cloud: DataStax Langflow is a hosted environment with zero setup. Sign up for a free account.
- Self-managed: Run Langflow in your environment. Install Langflow to run a local Langflow server, and then use the Quickstart guide to create and execute a flow.
- Hugging Face: Clone the space using this link to create a Langflow workspace.
⭐ Stay up-to-date
Star Langflow on GitHub to be instantly notified of new releases.
👋 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.