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docs: HITL consolidation (#5192)
* HITL consolidation, minus server * Fix links * Fix server page * remove extra page * nits * updates based on feedback * Update docs/docs/concepts/human_in_the_loop.md Co-authored-by: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com> * edits based on feedback --------- Co-authored-by: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com>
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@@ -28,7 +28,7 @@ The LLM operates in a loop. In each iteration, it selects a tool to invoke, prov
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LangGraph includes several capabilities essential for building robust, production-ready agentic systems:
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- [**Memory integration**](../how-tos/memory/add-memory.md): Native support for *short-term* (session-based) and *long-term* (persistent across sessions) memory, enabling stateful behaviors in chatbots and assistants.
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- [**Human-in-the-loop control**](./human-in-the-loop.md): Execution can pause *indefinitely* to await human feedback—unlike websocket-based solutions limited to real-time interaction. This enables asynchronous approval, correction, or intervention at any point in the workflow.
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- [**Human-in-the-loop control**](../concepts/human_in_the_loop.md): Execution can pause *indefinitely* to await human feedback—unlike websocket-based solutions limited to real-time interaction. This enables asynchronous approval, correction, or intervention at any point in the workflow.
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- [**Streaming support**](../how-tos/streaming.md): Real-time streaming of agent state, model tokens, tool outputs, or combined streams.
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- [**Deployment tooling**](./deployment.md): Includes infrastructure-free deployment tools. [**LangGraph Platform**](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform/) supports testing, debugging, and deployment.
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- **[Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/)**: A visual IDE for inspecting and debugging workflows.
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