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langchain-ai · Jun 27, 2024 · 2dd506e · 2dd506e
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diff --git a/docs/core_docs/docs/integrations/chat/bedrock.mdx b/docs/core_docs/docs/integrations/chat/bedrock.mdx
@@ -10,7 +10,7 @@ sidebar_label: Bedrock
 ## Setup
 
 :::tip
-The `ChatBedrockConverse` chat model is now available via `@langchain/aws`. Access tool calling with more models with this package.
+The [`ChatBedrockConverse` chat model is now available via `@langchain/aws`](/docs/integrations/chat/bedrock_converse). Access tool calling with more models with this package.
 :::
 
 You'll need to install the `@langchain/community` package:

diff --git a/docs/core_docs/docs/integrations/chat/bedrock_converse.mdx b/docs/core_docs/docs/integrations/chat/bedrock_converse.mdx
@@ -50,7 +50,7 @@ import BedrockMultimodalExample from "@examples/models/chat/integration_bedrock_
 See the LangSmith trace [here](https://smith.langchain.com/public/c40f8d09-123a-4b3b-934a-625d5ee0f57a/r).
 :::
 
-### Tool calling
+## Tool calling
 
 The examples below demonstrate how to use tool calling, along with the `withStructuredOutput` method to easily compose structured output LLM calls.
 
@@ -64,7 +64,7 @@ Check out the output of this tool call! We can see here it's using chain-of-thou
 See the LangSmith trace [here](https://smith.langchain.com/public/d34e378d-5044-4b5b-9ed7-3d2486fe5d47/r)
 :::
 
-#### `.withStructuredOutput({ ... })`
+### `.withStructuredOutput({ ... })`
 
 Using the `.withStructuredOutput` method, you can easily make the LLM return structured output, given only a Zod or JSON schema: