Principle:Langchain ai Langchain Chat Model Initialization For Streaming

Knowledge Sources	LangChain
Domains	NLP, Streaming
Last Updated	2026-02-11 00:00 GMT

Overview

Configuration of a chat model instance with streaming-specific parameters for token-by-token response delivery.

Description

When the primary use case is streaming, model initialization includes streaming-specific configuration: the streaming flag for default behavior, disable_streaming for conditional override, and stream_usage for token usage tracking in stream chunks. These parameters affect how the invoke() and stream() methods route requests.

Usage

Configure streaming parameters during initialization when building real-time UIs, chat interfaces, or any application requiring progressive response display.

Theoretical Basis

# Abstract configuration (not real code)
model = ChatModel(
    streaming=True,           # Default to streaming in invoke()
    stream_usage=True,        # Include token usage in chunks
    disable_streaming=False,  # Allow streaming
)

Related Pages

Implemented By

• Implementation:Langchain_ai_Langchain_ChatOpenAI_Constructor_For_Streaming