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src/oss/workflows-and-agents.mdx

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@@ -18,7 +18,7 @@ When building agents and workflows, LangGraph offers a number of benefits includ
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:::python
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You can use [any chat model](https://python.langchain.com/docs/integrations/chat/) that supports structured outputs and tool calling. Below, we show the process of installing the packages, setting API keys, and testing structured outputs / tool calling for Anthropic.
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??? "Install dependencies"
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Install dependencies
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```bash
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pip install langchain_core langchain-anthropic langgraph
@@ -46,7 +46,7 @@ llm = ChatAnthropic(model="claude-3-5-sonnet-latest")
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:::js
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You can use [any chat model](https://js.langchain.com/docs/integrations/chat/) that supports structured outputs and tool calling. Below, we show the process of installing the packages, setting API keys, and testing structured outputs / tool calling for Anthropic.
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??? "Install dependencies"
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Install dependencies
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```bash
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npm install @langchain/core @langchain/anthropic @langchain/langgraph

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