[fix]: langchain-community bedrock anthropic support

[pavel1tel]

For some reason content parts type are different when using langgraph with bedrock claude models, causing "Unknown content part type" in convertLangChainMessages.ts. So I added missing types to fix this issue

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[!IMPORTANT] Adds support for text_delta and input_json_delta types in convertLangChainMessages.ts to fix type errors with Bedrock Claude models.

• Behavior:
  • Adds support for text_delta and input_json_delta types in contentToParts() in convertLangChainMessages.ts to prevent "Unknown content part type" errors.
• Types:
  • Updates MessageContentText to include text_delta type in types.ts.
  • Updates MessageContentToolUse to include input_json_delta type in types.ts.

^{This description was created by for a38ff77b1302c7e400b7eba5d3cbc7007c57a0e2. You can customize this summary. It will automatically update as commits are pushed.}

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🦋 Changeset detected

Latest commit: 8edefe437bc9baf74eac9cf2abd6f2e71b6db865

The changes in this PR will be included in the next version bump.

This PR includes changesets to release 1 package

Name	Type
@assistant-ui/react-langgraph	Patch

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Name	Status	Preview	Comments	Updated (UTC)
assistant-ui-registry	✅ Ready (Inspect)	Visit Preview	💬 Add feedback	May 20, 2025 11:01pm

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✅ No documentation updates required.

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Review Summary

Skipped posting 1 drafted comments based on your review threshold. Feel free to update them here.

Draft Comments

packages/react-langgraph/src/convertLangChainMessages.ts:29-31

The `default` case in the switch statement doesn't wrap the declaration in a block, which could lead to variable scoping issues. The linter suggests wrapping the declaration in a block to restrict its access.

Scores:

• Production Impact: 3
• Fix Specificity: 5
• Urgency Impact: 3
• Total Score: 11

Reason for filtering: The comment addresses a legitimate code issue with variable scoping in switch statements that could lead to unexpected behavior.

Analysis: The issue involves variable scoping in a switch statement which could potentially cause bugs if other cases access the variable incorrectly. The fix is extremely specific and directly applicable. While important for code correctness, it's unlikely to cause immediate production failures as it's in an error handling path. The total score falls below the threshold of 13, but the issue is still valid and worth addressing.

[coderabbitai[bot]]

Walkthrough

The changes extend the message content handling by adding support for two new content part types. The conversion function now processes "text_delta" parts as "text" and excludes "input_json_delta" parts by returning null. Correspondingly, the type definitions were updated to allow "text_delta" as a valid type for MessageContentText and "input_json_delta" as a valid type for MessageContentToolUse. No other logic or types were altered.

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📜 Recent review details

Configuration used: CodeRabbit UI Review profile: CHILL Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between a38ff77b1302c7e400b7eba5d3cbc7007c57a0e2 and 069b525600de7a0c55e5721d70d66f9f036b9125.

⛔ Files ignored due to path filters (1)

• .changeset/sharp-bugs-itch.md is excluded by !.changeset/**

📒 Files selected for processing (2)

• packages/react-langgraph/src/convertLangChainMessages.ts (2 hunks)
• packages/react-langgraph/src/types.ts (2 hunks)

🚧 Files skipped from review as they are similar to previous changes (2)

• packages/react-langgraph/src/convertLangChainMessages.ts
• packages/react-langgraph/src/types.ts

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[jazzberry-ai[bot]]

Bug Report

Name	Severity	Example test case	Description
tool_use and input_json_delta information is dropped	Medium	Create a LangGraph message with tool_use or input_json_delta content, then convert it using convertLangChainMessages. The tool call information will be dropped.	The contentToParts function in convertLangChainMessages.ts explicitly returns null for tool_use and input_json_delta content types. This means that any tool call information or input json deltas will be dropped during the conversion process, potentially breaking functionality if the UI relies on tool calls or state updates.

_{Comments? Email us.}

[jazzberry-ai[bot]]

Bug Report

Name	Severity	Example test case	Description
Cross-Site Scripting (XSS) vulnerability in text_delta content	Critical	Send a LangChain message with content containing a text_delta part with a malicious JavaScript payload, such as <script>alert("XSS")</script>.	The convertLangChainMessages.ts file extracts the text content from text_delta and passes it to the UI. If this content is not properly sanitized, an attacker can inject malicious JavaScript code that will be executed in the user's browser. This can lead to session hijacking, data theft, and other malicious activities. The fix should involve HTML-encoding the text before rendering it in the UI.

_{Comments? Email us.}

[AVGVSTVS96]

Thanks!