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Update doc and README (#135)
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@@ -4,10 +4,6 @@ An agent in AGNext is an entity that can react to, send, and publish
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messages. Messages are the only means through which agents can communicate
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with each other.
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Examples of agents include:
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- A chat completion agent that makes requests to an LLM in response to receiving messages.
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## Messages
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Messages are typed, and serializable (to JSON) objects that agents use to communicate. The type of a message is used to determine which agents a message should be delivered to, if an agent can handle a message and the handler that should be invoked when the message is received by an agent. If an agent is invoked with a message it is not able to handle, it must raise {py:class}`~agnext.core.exceptions.CantHandleException`.
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@@ -10,5 +10,5 @@ like software development.
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You can implement any multi-agent pattern using AGNext agents, which
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communicate with each other using messages through the agent runtime
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(see {doc}`/core-concepts/runtime` and {doc}`/core-concepts/agent`).
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See `examples <https://github.com/microsoft/agnext/tree/main/python/examples#pattern-examples>`_
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See [examples](https://github.com/microsoft/agnext/tree/main/python/examples#pattern-examples)
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for how to implement patterns like reflection and group chat.
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