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docs(langgraph): standardize version-added admonitions (#6230)
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@@ -211,7 +211,7 @@ output = agent.invoke(
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print(output["messages"][-1].text())
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```
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!!! version-added "New in LangGraph v0.6"
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!!! version-added "Added in version 0.6.0"
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:::
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@@ -351,11 +351,13 @@ If your desired LLM isn't officially supported by LangChain, consider these opti
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:::python
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1. **Implement a custom LangChain chat model**: Create a model conforming to the [LangChain chat model interface](https://python.langchain.com/docs/how_to/custom_chat_model/). This enables full compatibility with LangGraph's agents and workflows but requires understanding of the LangChain framework.
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:::
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:::js
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1. **Implement a custom LangChain chat model**: Create a model conforming to the [LangChain chat model interface](https://js.langchain.com/docs/how_to/custom_chat/). This enables full compatibility with LangGraph's agents and workflows but requires understanding of the LangChain framework.
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:::
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2. **Direct invocation with custom streaming**: Use your model directly by [adding custom streaming logic](../how-tos/streaming.md#use-with-any-llm) with `StreamWriter`.
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@@ -371,6 +373,7 @@ If your desired LLM isn't officially supported by LangChain, consider these opti
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- [Force model to call a specific tool](https://python.langchain.com/docs/how_to/tool_choice/)
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- [All chat model how-to guides](https://python.langchain.com/docs/how_to/#chat-models)
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- [Chat model integrations](https://python.langchain.com/docs/integrations/chat/)
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:::
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:::js
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@@ -381,4 +384,5 @@ If your desired LLM isn't officially supported by LangChain, consider these opti
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- [Force model to call a specific tool](https://js.langchain.com/docs/how_to/tool_choice/)
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- [All chat model how-to guides](https://js.langchain.com/docs/how_to/#chat-models)
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- [Chat model integrations](https://js.langchain.com/docs/integrations/chat/)
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:::
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