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AlgoriAgent/examples/conversation_with_langchain/README.md

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+# Create an Agent with LangChain
+
+AgentScope is a highly flexible multi-agent platform. It allows developers
+to create agents with third-party libraries.
+
+In this example, we will show how to create an assistant agent with
+LangChain in AgentScope, and interact with user in a conversation.
+
+**Note** we use OpenAI API for LangChain in this example. Developers can
+modify it according to their own needs.
+
+## Install LangChain
+
+Before running the example, please install LangChain by the following command:
+```bash
+pip install langchain==0.1.11 langchain-openai==0.0.8
+```
+
+## Create Agent with LangChain
+
+In this example, the memory management, prompt engineering, and model
+invocation are all handled by LangChain.
+Specifically, we create an agent class named `LangChainAgent`.
+In its `reply` function, developers only need parse the input message and
+wrap the output message into `agentscope.message.Msg` class.
+After that, developers can build the conversation in AgentScope, and the
+`LangChainAgent` is the same as other agents in AgentScope.