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Summary

This PR addresses issue #1539 by providing comprehensive documentation on how to stream individual tokens from LLM calls within LangGraph nodes.

Type of change

  • New documentation page
  • Update existing documentation

Related issues/PRs

Closes #1539

Description

Added a new documentation file streaming-tokens-example.md that provides:

Two Main Approaches:

  1. Using stream_mode="messages" - The simplest way to get token-by-token streaming
  2. Using astream_events - For more detailed control with event filtering

Key Features:

  • Complete working code examples
  • Proper usage of config: RunnableConfig parameter in node functions
  • Metadata filtering techniques
  • References to official documentation
  • Related GitHub issues for further context

Testing

The provided code examples follow the official LangChain/LangGraph patterns and are based on:

Checklist

  • Documentation follows the repository style guidelines
  • Includes working code examples
  • References to official documentation provided
  • Issue number included in commit message and PR title

…in-ai#1539)

This document provides comprehensive solutions for streaming individual tokens from LLM calls within LangGraph nodes.

Includes:
- Two main approaches (stream_mode="messages" and astream_events)
- Complete working examples with proper config parameter usage
- Key points and best practices
- References to official documentation

Resolves issue langchain-ai#1539
@github-actions github-actions bot added langgraph For docs changes to LangGraph oss labels Nov 20, 2025
@mdrxy mdrxy added the external User is not a member of langchain-ai label Nov 22, 2025
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Successfully merging this pull request may close these issues.

How can a template access the streaming tokens generated during its execution?

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