Principle:Groq Groq python Stream Chunk Processing

Knowledge Sources	Groq API Docs Server-Sent Events Spec
Domains	Streaming, Data_Parsing
Last Updated	2026-02-15 16:00 GMT

Overview

A technique for incrementally processing individual token chunks from a streaming language model response to reconstruct the full completion.

Description

Stream Chunk Processing is the consumer-side pattern for handling SSE-delivered chat completion chunks. Each chunk contains a delta object with a partial update: a content fragment, a role assignment, or a tool call update. The consumer must:

• Iterate over the stream to receive chunks
• Extract delta.content from each chunk and concatenate to build the full response
• Detect the final chunk via finish_reason (changes from None to stop, length, etc.)
• Extract usage statistics from the final chunk's x_groq.usage field

The [DONE] SSE message signals the end of the stream.

Usage

Use this principle when consuming streaming responses. Every streaming chat completion must be followed by chunk processing to extract the generated text. The chunk processing loop is typically a for loop (sync) or async for loop (async).

Theoretical Basis

# Abstract chunk processing
full_text = ""
for chunk in stream:
    delta = chunk.choices[0].delta
    if delta.content:
        full_text += delta.content
        display(delta.content)  # Real-time output
    if chunk.choices[0].finish_reason:
        # Final chunk: extract usage stats
        usage = chunk.x_groq.usage
        break

Related Pages

Implemented By

• Implementation:Groq_Groq_python_Stream_Iterator

Uses Heuristics

• Heuristic:Groq_Groq_python_Streaming_Usage_Stats