Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
9dc6c24180* ✨ (inputs.py): Update default prompt input types to include "MessageTextInput" for improved user experience 📝 (styleUtils.ts): Add color definition for "MessageTextInput" node to enhance visual representation in the frontend * 📝 (text.py): Update input_types for "Value" to include "Message" for better clarity 📝 (memory.py): Update input_types for "Session ID" to include "Message" for consistency 📝 (message.py): Update input_types for "Session ID" to include "Message" for uniformity 📝 (self_query.py): Update input_types for "Query" to only include "Message" for consistency 📝 (create_data.py): Update input_types for fields to only include "Message" for consistency 📝 (update_data.py): Update input_types for fields to only include "Message" for consistency 📝 (inputs.py): Update DEFAULT_PROMPT_INTUT_TYPES to only include "Message" for consistency 📝 (styleUtils.ts): Remove "MessageTextInput" from nodeColors and nodeColorsName for consistency * 📝 (model.py): update display name from "Text" to "Message" for better clarity 📝 (url.py): update display name from "Text" to "Message" for better consistency 📝 (memory.py): update display name from "Text" to "Message" for better understanding 📝 (text.py): update display name from "Text" to "Message" for better semantics 📝 (llm_math.py): update display name from "Text" to "Message" for improved readability 📝 (runnable_executor.py): update display name from "Text" to "Message" for better context 📝 (sql_generator.py): update display name from "Text" to "Message" for clearer communication 📝 (text.py): update display name from "Text" to "Message" for better consistency 📝 (parse_data.py): update display name from "Text" to "Message" for enhanced understanding 📝 (wikidata_api.py): update display name from "Text" to "Message" for improved semantics 📝 (test_cycles.py): update display name from "Text" to "Message" for better clarity * [autofix.ci] apply automated fixes * 🔧 (App.css): change width property value to fit-content to improve layout responsiveness * fix: resolve merge conflicts and clean up URLComponent implementation in starter projects - Removed conflicting sections in the JSON files for 'Custom Component Maker' and 'Graph Vector Store RAG'. - Ensured the URLComponent class is correctly defined with methods for URL validation and content fetching. - Updated input and output definitions for better clarity and functionality. * 🐛 (freeze.spec.ts): fix incorrect test selectors for handle-textinput-shownode and handle-parsedata-shownode elements to match updated element IDs * 📝 (NodeOutputfield/index.tsx): Add id prop to InspectButton component for better identification 🔧 (freeze-path.spec.ts, freeze.spec.ts, stop-building.spec.ts, decisionFlow.spec.ts, similarity.spec.ts, textInputOutput.spec.ts, generalBugs-shard-5.spec.ts, fileUploadComponent.spec.ts): Update test selectors to match changes in UI components for better test accuracy * ✨ (duckduckgo.spec.ts): update the test to click on a specific element with the test ID "output-inspection-data-duckduckgosearch" instead of "output-inspection-data" to match the updated frontend implementation. * ✨ (youtube-transcripts.spec.ts): update selector for clicking on transcript element to match changes in the frontend code, ensuring the test remains accurate --------- Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> |
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| README.ES.md | ||
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| README.ja.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 uv (recommended) (Python 3.10 to 3.12):
uv pip install langflow
- Install with pip (Python 3.10 to 3.12):
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.