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docs: Add Cloud Concepts docs, update cloud deployment how-to guide (#996)

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* Update Cloud deployment docs. Add Cloud Concepts docs.

* Update quick start. Update how-to for setting up repo.

* Delete unused image base_url.png.

* Fix spelling error. Fix broken anchor link.

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Andrew Nguonly
2024-07-11 14:33:25 -07:00
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commit e9f7cd3e52
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docs/docs/cloud/index.md
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LangGraph Cloud is a managed service for deploying and hosting LangGraph applications. Deploying applications with LangGraph Cloud shortens the time-to-market for developers. With one click, deploy a production-ready API with built-in persistence for your LangGraph application. LangGraph Cloud APIs are horizontally scalable and deployed with durable storage.
The LangGraph Cloud API exposes functionality of your LangGraph application through [Assistants](./concepts/index.md#assistants). An assistant abstracts the cognitive architecture of your graph. Invoke an assistant by calling the pre-built [API endpoints](./reference/api/api_ref.md).
The LangGraph Cloud API exposes functionality of your LangGraph application through [Assistants](./concepts/api.md#assistants). An assistant abstracts the cognitive architecture of your graph. Invoke an assistant by calling the pre-built [API endpoints](./reference/api/api_ref.md).
LangGraph Cloud is seamlessly integrated with [LangSmith](https://www.langchain.com/langsmith) and is accessible from within the LangSmith UI.
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- [Tutorials](./quick_start.md): Learn to build and deploy applications for LangGraph Cloud.
- [How-to Guides](./how-tos/index.md): Learn how to set up a LangGraph application for deployment and implement features of the LangGraph Cloud API such as streaming tokens, configuring double texting, and creating cron jobs. Go here if you want to copy and run a specific code snippet.
- [Conceptual Guides](./concepts/index.md): In-depth explanations of the core data models (e.g. assistants) and key features (e.g. double texting) of the LangGraph Cloud API.
- [Conceptual Guides](./concepts/api.md): In-depth explanations of the core data models (e.g. assistants), key features of the LangGraph Cloud API (e.g. double texting), and the architecture of a LangGraph Cloud deployment.
- [Reference](./reference/api/api_ref.md): References for the LangGraph Cloud API, the corresponding Python and JS/TS SDKs, the LangGraph CLI, and deployment environment variables.