> ## Documentation Index
> Fetch the complete documentation index at: https://docs.savegate.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Streaming Guide
> Best practices for implementing streaming responses
## Benefits of Streaming
* **Better UX**: Users see responses immediately
* **Perceived Performance**: Feels faster even if total time is the same
* **Progressive Display**: Long responses appear naturally
* **Lower Memory**: Process chunks instead of waiting for full response
## Implementation Guide
See the [Streaming Examples](/examples/streaming) for complete code samples.
## Best Practices
Streams can fail mid-response. Always wrap streaming code in try-catch.
```python theme={null}
try:
for chunk in stream:
# Process chunk
pass
except Exception as e:
print(f"Stream error: {e}")
```
Don't update UI for every single chunk - buffer updates for performance.
```javascript theme={null}
let buffer = '';
const BUFFER_SIZE = 5;
for await (const chunk of stream) {
buffer += chunk.choices[0]?.delta?.content || '';
if (buffer.length >= BUFFER_SIZE) {
updateUI(buffer);
buffer = '';
}
}
// Flush remaining buffer
if (buffer) updateUI(buffer);
```
Know when the stream is done to update UI state.
```python theme={null}
for chunk in stream:
if chunk.choices[0].finish_reason:
# Stream is done
break
```
Keep track of the complete response for later use.
```python theme={null}
full_response = ""
for chunk in stream:
if chunk.choices[0].delta.content:
content = chunk.choices[0].delta.content
full_response += content
print(content, end="")
# Now full_response contains complete text
```
See complete streaming implementations