Add solution for streaming tokens from LangGraph nodes (fixes #1539) #1543
+126
−0
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
…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
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
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
Related issues/PRs
Closes #1539
Description
Added a new documentation file
streaming-tokens-example.mdthat provides:Two Main Approaches:
stream_mode="messages"- The simplest way to get token-by-token streamingastream_events- For more detailed control with event filteringKey Features:
config: RunnableConfigparameter in node functionsTesting
The provided code examples follow the official LangChain/LangGraph patterns and are based on:
Checklist