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vbarda
55 lines
2.4 KiB
Markdown
55 lines
2.4 KiB
Markdown
# How-to guides
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These are how-to guides for interacting with the deployed agents.
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## Streaming
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When you deploy a graph with LangGraph API, you can stream results from a run in a few different ways.
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- `values`: This streaming mode streams back values of the graph. This is the **full state of the graph** after each node is called.
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- `update`: This streaming mode streams back updates to the graph. This is the **update to the state of the graph** after each node is called.
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- `messages`: This streaming mode streams back messages - both complete messages (at the end of a node) as well as **tokens** for any messages generated inside a node. This mode is primarily meant for powering chat applications.
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See the following guides for how to use the different streaming modes.
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- [How to stream values](./stream_values.ipynb)
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- [How to stream updates](./stream_updates.ipynb)
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- [How to stream messages](./stream_messages.ipynb)
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## Background runs
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When you deploy a graph with LangGraph API, you can also interact with it in a way where you kick off background runs.
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You can poll for the status of the run.
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This can be useful when the run is particularly long running.
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- [How to kick off a background run](./background_run.ipynb)
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## Human-in-the-loop
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When you deploy a graph with LangGraph API, it is deployed with a persistence layer.
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This enables easy human-in-the-loop interactions like approving a tool call, editing a tool call, and returning to and modifying a previous state and resuming execution from there.
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- [How to have a human in the loop](./human-in-the-loop.ipynb)
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## Configuration
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One of the benefits of LangGraph API is that it lets you create agents with different configurations.
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This is useful when you want to:
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1. Define a cognitive architecture once as a LangGraph
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2. Let that LangGraph be configurable across some attributes (for example, system message or LLM to use)
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3. Let users create agents with arbitrary configurations, save them, and then use them in the future
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In this guide we will show how to do that for the default agent we have built in.
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- [How to configure agents](./configuration.ipynb)
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## Multiple Agents, Same Thread
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In LangGraph API, a thread is not explicitly associated with a particular agent.
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This means that you can run multiple agents on the same thread.
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In this example, we will create two agents and then call them both on the same thread.
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- [How to run multiple agents on the same thread](./same-thread.ipynb) |