Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
948b150946* 📝 (constants.ts): increase maxSizeFilesInBytes constant value from 10MB to 100MB to allow larger file uploads * 🐛 (inputFileComponent): fix bug in setting the maximum file size alert message to display the correct file size limit of 100 bytes instead of 10 bytes * 📝 (schemas.py): Add a new field_serializer method to serialize data in VertexBuildResponse class 📝 (schemas.py): Add a new truncate_text helper function to safely truncate text in nested dictionaries 📝 (model.py): Add a new field_serializer method to serialize outputs in TransactionBase class 📝 (model.py): Add a new truncate_text helper function to safely truncate text in nested dictionaries 📝 (model.py): Add a new field_serializer method to serialize data and artifacts in VertexBuildBase class 📝 (model.py): Add a new truncate_text helper function to safely truncate text in nested dictionaries * 🐛 (schemas.py): fix truncation length of text fields to 10 characters instead of 99999 🐛 (model.py): fix truncation length of text fields to 10 characters instead of 99999 🐛 (model.py): fix truncation length of text fields to 10 characters instead of 99999 🐛 (index.tsx): truncate resultMessage to 99999 characters and add message if text is too long * 🔧 (switchOutputView/index.tsx): Use useMemo to memoize resultMessage transformations for performance optimization * 🐛 (model.py): Fix typo in the path for 'base_retriever' data field 🐛 (model.py): Fix typo in the path for 'base_retriever' data field 🐛 (model.py): Fix typo in the path for 'base_retriever' data field 🐛 (model.py): Fix typo in the path for 'base_retriever' data field 🐛 (index.tsx): Fix logic to correctly handle resultMessageMemoized when it is an object * 📝 (model.py): refactor truncate_text function to truncate_long_strings for better clarity and consistency 📝 (model.py): update serialize_outputs and serialize_artifacts functions to use truncate_long_strings for string truncation 📝 (model.py): introduce MAX_TEXT_LENGTH constant for defining the maximum length of text to truncate in the models * 📝 (schemas.py): refactor serialize_data method in VertexBuildResponse class to use a new helper function truncate_long_strings for better code readability and maintainability * 🔧 (schemas.py): Move the `truncate_long_strings` function to a separate module to improve code organization and reusability 🔧 (model.py): Import the `truncate_long_strings` function from the correct module to fix the reference error 🔧 (model.py): Import the `truncate_long_strings` function from the correct module to fix the reference error * 📝 (util.py): add function truncate_long_strings to recursively truncate long strings in dictionaries and lists to prevent exceeding the maximum text length. * 📝 (constants.py): add constant MAX_TEXT_LENGTH with value 99999 for defining maximum text length allowed in the application * 📝 (model.py): update import path for truncate_long_strings function to match new location in util module * ✨ (test_truncate_long_strings_on_objects.py): Add unit tests for the function truncate_long_strings to ensure correct behavior when truncating long strings in various data structures 🐛 (switchOutputView/index.tsx): Fix truncation logic to correctly truncate long strings by adding ellipsis at the end instead of displaying additional text about truncation. * [autofix.ci] apply automated fixes * ✨ (test_truncate_long_strings_on_objects.py): Update import path for truncate_long_strings function 📝 (test_truncate_long_strings_on_objects.py): Add additional tests for handling negative, zero, and small max_length values in truncate_long_strings function * ♻️ (schemas.py): refactor import statement to use the updated module name util_strings instead of util for better clarity and consistency. * 📝 (model.py): Update import path for util_strings module to fix module import error 📝 (util.py): Remove redundant code for truncating long strings and move it to a separate util_strings module for better organization and separation of concerns. * 📝 (schemas.py): refactor serialize_data method to handle both BaseModel and non-BaseModel data inputs in VertexBuildResponse class * 📝 (util_strings.py): Update util_strings.py to improve string truncation function for dictionaries and lists 🔧 (test_truncate_long_strings_on_objects.py): Update test cases for string truncation function to cover additional scenarios and edge cases * Update src/backend/base/langflow/utils/util_strings.py Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> * 📝 (vite.config.mts): update environment variable MAX_FILE_SIZE to be defined in vite config for frontend to use in the application. * 📝 (constants.ts): update maxSizeFilesInBytes constant to use process.env.MAX_FILE_SIZE environment variable for configurable file size limit 📝 (constants.ts): add MAX_TEXT_LENGTH constant with a value of 99999 for maximum text length limit * 📝 (switchOutputView/index.tsx): import MAX_TEXT_LENGTH constant from shared constants file to improve code organization and reusability * ✨ (langflow/__main__.py): add support for defining maximum file size for upload in MB to improve user experience and prevent large file uploads * 🐛 (files.py): add validation to check if uploaded file size exceeds the maximum allowed size before processing it * ✨ (schemas.py): add max_file_size_upload field to ConfigResponse schema to handle maximum file size allowed for upload * 🔧 (vite.config.mts): remove MAX_FILE_SIZE environment variable configuration as it is no longer needed * ✨ (base.py): introduce max_file_size_upload setting to limit the file size for uploads in MB * 🐛 (util.py): add support for setting max_file_size_upload in update_settings function to allow configuring maximum file size for uploads * 📝 (inputFileComponent/index.tsx): add support for retrieving max file size upload from utility store to improve code modularity and reusability 🐛 (inputFileComponent/index.tsx): fix error handling logic to display error message when uploading a file fails * 📝 (constants.ts): remove maxSizeFilesInBytes constant as it is no longer used and update MAX_TEXT_LENGTH constant to a higher value * ✨ (use-get-config.ts): add functionality to set max file size upload value from config response * ✨ (utilityStore.ts): introduce maxFileSizeUpload property and setMaxFileSizeUpload function to handle maximum file size upload in bytes * ✨ (frontend): introduce maxFileSizeUpload property and setMaxFileSizeUpload method to handle maximum file size upload functionality in the UtilityStoreType * ♻️ (util_strings.py): refactor truncate_long_strings function to improve code readability and consistency by removing unnecessary whitespace and aligning assignment operators. * 🐛 (files.py): fix formatting issue in the raise statement to improve code readability and maintain consistency --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> |
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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 or greater):
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.