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b43bf8f783
* initial apify actor component version * clean code mess * add apify integrations docs page, manual tests protocol, remove temp scripts * fix lint type issue * fix lint and format issues * rename run_actor.py to apify_actor.py * actor -> Actor * update component description and docs link * add wcc link * refactor _get_actor_input_schema_from_build * actor_input -> run_input * refactor - make suitable methods static * static methods remove _ before name, docs actor_input -> run_input * update docs image * improve docs * fix typos, rename test .md to run_actor.md * remove the actor link, that is not clickable * rename ApifyRunActor -> ApifyActors, improve docs * code refactor, added concrete examples * take input_schema arg instead of build * fix typo * add custom user-agent * remove beta label * Update docs/docs/Integrations/Apify/integrations-apify.md Co-authored-by: Jiří Spilka <jiri.spilka@apify.com> * toolify_actor_id_str -> actor_id_to_tool_name * add simple flow example withtou an agent, removed actor list, added simple how to * fix typos * improve how-to section * remove usege from the component section * improve example flows section * remove unnecessary sentence * format * fix submodel serialization * LCToolComponent -> Component * flatten output remove question mark * add actor run logs to component logs * fix grammar, typos and docstrings * [autofix.ci] apply automated fixes --------- Co-authored-by: Jiří Spilka <jiri.spilka@apify.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Edwin Jose <edwin.jose@datastax.com>
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.