d8bd70dd2d
* feat: add output schema for ChatOllama component feat: nested json input for output format, and added data and dataframe outputs for chatollama add unit and integration tests chore: update component index update component index patch parse logic ruff style checks update component index draft modfication to s.o.c; fallback to langchain directly if trustcall fails feat: add input table for output format in ChatOllama component chore: update component index [autofix.ci] apply automated fixes [autofix.ci] apply automated fixes (attempt 2/3) [autofix.ci] apply automated fixes (attempt 3/3) chore: update component index * chore: update component index * ruff (ollama.py imports) * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes (attempt 2/3) * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes (attempt 2/3) * [autofix.ci] apply automated fixes (attempt 3/3) --------- Co-authored-by: Hamza Rashid <hzarashid@users.noreply.github.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Hare <ericrhare@gmail.com>
Caution
- Langflow versions 1.6.0 through 1.6.3 have a critical bug where
.envfiles are not read, potentially causing security vulnerabilities. DO NOT upgrade to these versions if you use.envfiles for configuration. Instead, upgrade to 1.6.4, which includes a fix for this bug.- Windows users of Langflow Desktop should not use the in-app update feature to upgrade to Langflow version 1.6.0. For upgrade instructions, see Windows Desktop update issue.
- Users must update to Langflow >= 1.3 to protect against CVE-2025-3248
- Users must update to Langflow >= 1.5.1 to protect against CVE-2025-57760
For security information, see our Security Policy and Security Advisories.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.
✨ Highlight features
- Visual builder interface to quickly get started and iterate.
- Source code access lets you customize any component using Python.
- Interactive playground to immediately test and refine your flows with step-by-step control.
- Multi-agent orchestration with conversation management and retrieval.
- Deploy as an API or export as JSON for Python apps.
- Deploy as an MCP server and turn your flows into tools for MCP clients.
- Observability with LangSmith, LangFuse and other integrations.
- Enterprise-ready security and scalability.
⚡️ Quickstart
Install locally (recommended)
Requires Python 3.10–3.13 and uv (recommended package manager).
Install
uv pip install langflow -U
Installs the latest Langflow package.
Run
uv run langflow run
Starts the Langflow server at http://127.0.0.1:7860.
That's it! You're ready to build with Langflow 🎉
Other install options
Install from repo
If you're contributing or running from source, see DEVELOPMENT.md for setup instructions.
📦 Deployment
Langflow is completely open source, and you can deploy it to all major clouds. To learn how to use Docker to deploy Langflow, see the Docker deployment guide.
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👋 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.