Apr 15, 2026
🚀 Langflow 1.9 is live
Langflow 1.9 introduces new capabilities for building, operating, and integrating AI workflows, with updates focused on in-product AI assistance, flow deployment tooling, and MCP-based interoperability.
This release adds native support for AI-assisted component generation, standardized tooling for managing flows outside the visual builder, and new interfaces that allow external agents to create and execute Langflow flows programmatically.
What’s new in this release:
🔹 Langflow Assistant
A native AI assistant embedded directly into Langflow that allows users to generate custom components from natural language, troubleshoot flows in context, and get real-time guidance directly on the canvas—turning Langflow into an interactive AI-assisted development environment.
🔹 Flow DevOps Toolkit
A new SDK and tooling layer that brings software engineering practices to Langflow flows, enabling exportable flow artifacts, version control, CI validation, automated testing, and structured deployment workflows beyond the visual builder.
🔹 MCP support for IDEs and coding agents
Langflow can now be used programmatically by coding agents such as Claude Code, Cursor, and Copilot, enabling them to create, configure, and execute flows through MCP-based integrations.
🔹 Token Usage Display
LLM components now expose input and output token counts directly in the flow interface after execution, giving developers immediate visibility into token consumption for cost monitoring and prompt optimization.
Updates in 1.9:
🔹 Policies Component (Beta)
A new ToolGuard-powered component that converts natural language business policies into executable guard code, enabling runtime validation over tool execution without requiring custom rule scripting.
🔹 Environment variables to block custom component execution
Adds runtime controls that allow administrators to disable execution of custom Python components through environment configuration, improving governance and security in controlled deployments.
🔹 Gemini 3 tool calling support
Adds native tool-calling compatibility for Gemini 3 models, enabling Langflow agents to invoke tools directly through Gemini-powered workflows.
🔹 Data renamed to JSON / DataFrame renamed to Table
Updated naming improves semantic clarity in flow design, making structured data components easier to understand and more intuitive for developers building complex pipelines.
👉 Explore Langflow 1.9:
https://t.co/xibTzvRnnj
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