Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
f3ddbcf1a8⚡️ Speed up function `_truncate_value` by 45% in PR #6323 (`test-smol`) To optimize the Python program for faster performance, we should make a few adjustments. Specifically, the use of multiple `isinstance` checks and logical conditioning can be streamlined to reduce the runtime overhead. Here's the optimized version of the program. ### Explanation. 1. **Order and Conditions**: We adjusted the order to check the limit first. This way, we only perform the `isinstance` check if the limit is set, thereby potentially reducing the number of checks needed. 2. **Combined Types**: Instead of using `isinstance(value, list | tuple)`, which uses the `|` operator for a union type, we use the more traditional tuple form `isinstance(value, (list, tuple))`. This makes it explicit that we’re checking against multiple types and can be a bit faster. These changes should result in slight performance improvements by reducing the number of checks and short-circuiting earlier. Co-authored-by: codeflash-ai[bot] <148906541+codeflash-ai[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.
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✨ 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.
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