StreamingIncompleteResponseError
fireworks_ai.errors.StreamingIncompleteResponseError
Stack trace
fireworks_ai.errors.StreamingIncompleteResponseError: Stream ended before full response was received
File "/app/fireworks_ai/streaming.py", line 142, in _consume_stream
raise StreamingIncompleteResponseError("Stream ended prematurely")
File "/app/fireworks_ai/client.py", line 78, in generate_stream
for chunk in self._consume_stream(response):
File "/app/main.py", line 35, in main
response = client.generate_stream(prompt)
StreamingIncompleteResponseError: Stream ended before full response was received Why it happens
Fireworks AI streams LLM responses in chunks. If the connection is interrupted, the server closes the stream early, or the client times out, the streamed output is incomplete. This causes downstream code expecting a full response to fail or process partial data.
Detection
Monitor stream completion flags or final chunk indicators in your streaming handler; log and alert if the stream closes before the expected end token or full content length is received.
Causes & fixes
Network interruptions or unstable internet connection causing premature stream closure
Implement retry logic with exponential backoff on stream failures and ensure network stability during streaming calls.
Server-side timeout or resource limits closing the stream before full response generation
Increase server timeout settings or optimize prompt complexity to reduce generation time and avoid server-side stream termination.
Client-side timeout or improper stream consumption logic that stops reading early
Adjust client timeout settings and ensure the streaming consumer reads until the end-of-stream marker or full response is received.
Using incompatible or outdated Fireworks AI client versions that mishandle streaming protocols
Upgrade to the latest Fireworks AI client version which includes robust streaming support and error handling.
Code: broken vs fixed
from fireworks_ai import FireworksClient
import os
client = FireworksClient(api_key=os.environ['FIREWORKS_API_KEY'])
prompt = "Generate a detailed report"
response = client.stream_generate(prompt) # This line triggers StreamingIncompleteResponseError
print(response)from fireworks_ai import FireworksClient, StreamingIncompleteResponseError
import os
import time
client = FireworksClient(api_key=os.environ['FIREWORKS_API_KEY'])
prompt = "Generate a detailed report"
for attempt in range(3):
try:
response = client.stream_generate(prompt)
print(response)
break
except StreamingIncompleteResponseError:
print(f"Stream incomplete, retrying {attempt + 1}/3...")
time.sleep(2 ** attempt) # exponential backoff
else:
print("Failed to get complete response after retries.")Workaround
Wrap the streaming call in a try/except block catching StreamingIncompleteResponseError, then retry the request or fallback to a non-streaming synchronous call to get the full response.
Prevention
Use Fireworks AI's latest client with built-in streaming robustness, monitor network stability, and configure timeouts to ensure streams complete fully before processing.