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Hunter Lovell
2025-07-29 20:51:03 -07:00
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docs/docs/agents/overview.md
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@@ -208,7 +208,7 @@ The high-level components are organized into several packages, each with a speci
## Visualize an agent graph
Use the following tool to visualize the graph generated by [`createReactAgent`](/langgraphjs/reference/functions/langgraph_prebuilt.createReactAgent.html) and to view an outline of the corresponding code. It allows you to explore the infrastructure of the agent as defined by the presence of:
Use the following tool to visualize the graph generated by @[`createReactAgent`][create_react_agent] and to view an outline of the corresponding code. It allows you to explore the infrastructure of the agent as defined by the presence of:
- [`tools`](./tools.md): A list of tools (functions, APIs, or other callable objects) that the agent can use to perform tasks.
- `preModelHook`: A function that is called before the model is invoked. It can be used to condense messages or perform other preprocessing tasks.
@@ -232,7 +232,7 @@ Use the following tool to visualize the graph generated by [`createReactAgent`](
</div>
</div>
The following code snippet shows how to create the above agent (and underlying graph) with [`createReactAgent`](/langgraphjs/reference/functions/langgraph_prebuilt.createReactAgent.html):
The following code snippet shows how to create the above agent (and underlying graph) with @[`createReactAgent`][create_react_agent]:
<div class="language-typescript">
<pre><code id="agent-code" class="language-typescript"></code></pre>
docs/docs/tutorials/workflows.md
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**Creating Workers in LangGraph**
Because orchestrator-worker workflows are common, LangGraph **has the `Send` API to support this**. It lets you dynamically create worker nodes and send each one a specific input. Each worker has its own state, and all worker outputs are written to a *shared state key* that is accessible to the orchestrator graph. This gives the orchestrator access to all worker output and allows it to synthesize them into a final output. As you can see below, we iterate over a list of sections and `Send` each to a worker node. See further documentation [here](../how-tos/map-reduce/) and [here](../concepts/low_level/#send).
Because orchestrator-worker workflows are common, LangGraph **has the `Send` API to support this**. It lets you dynamically create worker nodes and send each one a specific input. Each worker has its own state, and all worker outputs are written to a *shared state key* that is accessible to the orchestrator graph. This gives the orchestrator access to all worker output and allows it to synthesize them into a final output. As you can see below, we iterate over a list of sections and `Send` each to a worker node. See further documentation [here](https://langchain-ai.github.io/langgraph/how-tos/map-reduce/) and [here](https://langchain-ai.github.io/langgraph/concepts/low_level/#send).
```typescript
import { withLangGraph } from "@langchain/langgraph/zod";