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# LangFlow on IBM Code Engine
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![](./images/architecture.png)
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## What is LangFlow
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- [LangFlow](https://www.langflow.org/) is an open-source, Python-based **low-code visual framework** designed for rapid prototyping and deployment of **LLM-powered applications**.
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- It allows you to **visually define pipelines** that connect **Agents**, **Tools** and **LLMs** so you can build, test, and iterate on behaviors without writing glue code.
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- It comes with batteries included and supports all major LLMs, vector databases and a **growing library of AI tools**.
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![](./images/langflow_ui.png)
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## Why Code Engine is a great fit
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![](./images/architecture.png)
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Using **[IBM Cloud Code Engine](https://www.ibm.com/products/code-engine)** you can expose both the developer visual editor and the end-user interface via an out-of-the-box system domain, making it easy to share and host LangFlow apps.
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- **Managed runtime:** Code Engine runs containers without managing servers, lowering operational overhead.
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- **Integrates with COS:** Object storage (IBM Cloud Object Storage) can be mounted as a persistent data store for flows, state and uploads.
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- **Secure secrets & PDS:** Use Code Engine secrets and Persistent Data Stores (PDS) to store credentials and mount COS buckets securely.
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Note: For production use it's recommended to use [IBM Cloud Databases for PostgreSQL](https://www.ibm.com/products/databases-for-postgresql) for the [external persistence layer](https://docs.langflow.org/memory#configure-external-memory).
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## Deploy
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This repository includes a convenience script `deploy.sh` that automates the common steps (creating a Code Engine project, creating a COS instance and bucket, creating a service key, creating a CE secret and PDS, and deploying the image).
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Open the URL in a browser window to access the visual editor of [LangFlow](https://www.langflow.org/) and start desiging you first flow. If you already have a flow, you can import it as well.
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![](./images/langflow_ui.png)
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