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---
title: "Streaming Responses"
description: "Receive AI responses in real-time via Server-Sent Events. Perfect for chat applications, audio processing, and real-time transcription where you want immediate results."
icon: "water"
---
## Streaming Text Completion
Request text completions with streaming enabled to receive partial `text` chunks as they are generated.
```bash
curl --location 'http://localhost:8080/v1/completions' \
--header 'Content-Type: application/json' \
--data '{
"model": "openai/gpt-4o-mini",
"prompt": "Write a short haiku about the ocean",
"stream": true
}'
```
**Response Format (Server-Sent Events):**
```
data: {"choices":[{"text":"Waves whisper soft"}],"model":"gpt-4o-mini"}
data: {"choices":[{"text":" on distant shores, the moon calls"}],"model":"gpt-4o-mini"}
data: {"choices":[{"text":" tides to rise."}],"model":"gpt-4o-mini"}
data: [DONE]
```
## Streaming Chat Responses
Receive AI responses in real-time as they're generated. Perfect for chat applications where you want to show responses as they're being typed, improving user experience.
```bash
curl --location 'http://localhost:8080/v1/chat/completions' \
--header 'Content-Type: application/json' \
--data '{
"model": "openai/gpt-4o-mini",
"messages": [
{"role": "user", "content": "Tell me a story about a robot learning to paint"}
],
"stream": true
}'
```
**Response Format (Server-Sent Events):**
```
data: {"choices":[{"delta":{"content":"Once"}}],"model":"gpt-4o-mini"}
data: {"choices":[{"delta":{"content":" upon"}}],"model":"gpt-4o-mini"}
data: {"choices":[{"delta":{"content":" a"}}],"model":"gpt-4o-mini"}
data: [DONE]
```
Each chunk contains partial content that you can append to build the complete response in real-time.
> **Note:** Streaming requests also follow the default timeout setting defined in provider configuration, which defaults to **30 seconds**.
<Note>
Bifrost standardizes all stream responses to send usage and finish reason only in the last chunk, and content in the previous chunks.
</Note>
## Responses API Streaming
Stream the OpenAI-style Responses API with event-based SSE. This includes `event:` lines and does not use the `[DONE]` marker; the stream ends when the connection closes.
```bash
curl --location 'http://localhost:8080/v1/responses' \
--header 'Content-Type: application/json' \
--data '{
"model": "openai/gpt-4o-mini",
"input": "Tell me one interesting fact about Mars",
"stream": true
}'
```
**Response Format (Server-Sent Events):**
```
event: response.created
data: {"type":"response.created"}
event: response.output_text.delta
data: {"type":"response.output_text.delta","delta": /* partial text delta payload */ }
event: response.output_text.delta
data: {"type":"response.output_text.delta","delta": * more text delta */ }
event: response.completed
data: {"type":"response.completed","response":{ /* usage, finish_reason, etc. */ }}
```
## Text-to-Speech Streaming: Real-time Audio Generation
Stream audio generation in real-time as text is converted to speech. Ideal for long texts or when you need immediate audio playback.
```bash
curl --location 'http://localhost:8080/v1/audio/speech' \
--header 'Content-Type: application/json' \
--data '{
"model": "openai/gpt-4o-mini-tts",
"input": "Hello this is a sample test, respond with hello for my Bifrost",
"voice": "alloy",
"stream_format": "sse"
}'
```
**Response:** Audio chunks are delivered via Server-Sent Events. Each chunk contains base64-encoded audio data that you can decode and play or save progressively.
```
data: {"audio":"UklGRigAAABXQVZFZm10IBAAAAABAAEA..."}
data: {"audio":"AKlFQVZFZm10IBAAAAABAAEAq..."}
data: [DONE]
```
**To save the stream:** Add `> audio_stream.txt` to redirect output to a file.
## Speech-to-Text Streaming: Real-time Audio Transcription
Stream audio transcription results as they're processed. Get immediate text output for real-time applications or long audio files.
```bash
curl --location 'http://localhost:8080/v1/audio/transcriptions' \
--form 'file=@"/path/to/your/audio.mp3"' \
--form 'model="openai/gpt-4o-transcribe"' \
--form 'stream="true"' \
--form 'response_format="json"'
```
**Response Format:**
```
data: {"text":"Hello"}
data: {"text":" this"}
data: {"text":" is"}
data: {"text":" a sample"}
data: [DONE]
```
**Additional options:** Add `--form 'language="en"'` or `--form 'prompt="context hint"'` for better accuracy.
## Audio Format Support
**Speech Synthesis:** Supports `"response_format": "mp3"` (default) and `"response_format": "wav"`
**Transcription Input:** Accepts MP3, WAV, M4A, and other common audio formats
> **Note:** Streaming capabilities vary by provider and model. Check each provider's documentation for specific streaming support and limitations.
## Next Steps
Now that you understand streaming responses, explore these related topics:
### Essential Topics
- **[Tool Calling](./tool-calling)** - Enable AI models to use external tools and functions
- **[Multimodal AI](./multimodal)** - Process images, audio, and multimedia content
- **[Provider Configuration](./provider-configuration)** - Multiple providers for redundancy
- **[Integrations](./integrations)** - Drop-in compatibility with existing SDKs
### Advanced Topics
- **[Core Features](../../features/)** - Advanced Bifrost capabilities
- **[Architecture](../../architecture/)** - How Bifrost works internally
- **[Deployment](../../deployment-guides)** - Production setup and scaling