Skip to main content
Important: Streaming is automatically disabled when autoTurn (Conversational Turns) is enabled. The SDK will use non-streaming mode to properly handle response splitting and natural conversation flow. Choose either streaming OR conversational turns based on your use case.

​
Basic Streaming

​
Using AsyncIterable Pattern

Stream responses using the modern AsyncIterable pattern: 
import { AnimusClient } from 'animus-client';

const client = new AnimusClient({
  tokenProviderUrl: 'https://your-backend.com/api/get-animus-token',
  chat: {
    model: 'vivian-llama3.1-70b-1.0-fp8',
    systemMessage: 'You are a helpful assistant.',
    // Note: autoTurn must be false or undefined for streaming to work
    autoTurn: false
  }
});

try {
  // Enable streaming in the request
  const stream = await client.chat.completions({
    messages: [
      { role: 'user', content: 'Write a short story about a robot learning to paint.' }
    ],
    stream: true
  });

  let fullContent = '';

  // Process each chunk as it arrives
  for await (const chunk of stream) {
    const delta = chunk.choices?.[0]?.delta?.content || '';
    fullContent += delta;
    
    // Update UI incrementally
    updateChatDisplay(fullContent);
    console.log('Streaming:', delta);
  }

  console.log('Stream complete. Final content:', fullContent);
} catch (error) {
  console.error('Streaming error:', error);
}

​
Real-time UI Updates

Here’s how to implement streaming in a web application: 
// HTML element to display the streaming response
const responseElement = document.getElementById('ai-response');

async function streamResponse(userMessage: string) {
  try {
    const stream = await client.chat.completions({
      messages: [{ role: 'user', content: userMessage }],
      stream: true,
      temperature: 0.7
    });

    // Clear previous content
    responseElement.textContent = '';
    let accumulatedText = '';

    for await (const chunk of stream) {
      const delta = chunk.choices?.[0]?.delta?.content || '';
      
      if (delta) {
        accumulatedText += delta;
        responseElement.textContent = accumulatedText;
        
        // Auto-scroll to bottom
        responseElement.scrollTop = responseElement.scrollHeight;
      }
    }

    console.log('Streaming complete');
  } catch (error) {
    responseElement.textContent = 'Error: ' + error.message;
  }
}

​
Advanced Streaming Features

​
Streaming with Reasoning

When reasoning is enabled, thinking content appears directly in the stream: 
const stream = await client.chat.completions({
  messages: [{ role: 'user', content: 'Solve this math problem: 2x + 5 = 15' }],
  stream: true,
  reasoning: true  // Include model's thinking process
});

let thinkingContent = '';
let responseContent = '';
let inThinkingBlock = false;

for await (const chunk of stream) {
  const delta = chunk.choices?.[0]?.delta?.content || '';
  
  // Parse thinking blocks in real-time
  if (delta.includes('<think>')) {
    inThinkingBlock = true;
  }
  
  if (inThinkingBlock) {
    thinkingContent += delta;
    updateThinkingDisplay(thinkingContent);
  } else {
    responseContent += delta;
    updateResponseDisplay(responseContent);
  }
  
  if (delta.includes('</think>')) {
    inThinkingBlock = false;
  }
}

​
Streaming with Custom Processing

You can implement custom processing for different types of content: 
class StreamProcessor {
  private buffer = '';
  private onText: (text: string) => void;
  private onCode: (code: string, language: string) => void;

  constructor(onText: (text: string) => void, onCode: (code: string, language: string) => void) {
    this.onText = onText;
    this.onCode = onCode;
  }

  processChunk(delta: string) {
    this.buffer += delta;
    
    // Detect code blocks
    const codeBlockRegex = /```(\w+)?\n([\s\S]*?)```/g;
    let match;
    
    while ((match = codeBlockRegex.exec(this.buffer)) !== null) {
      const language = match[1] || 'text';
      const code = match[2];
      this.onCode(code, language);
    }
    
    // Process regular text
    const textContent = this.buffer.replace(codeBlockRegex, '');
    if (textContent.trim()) {
      this.onText(textContent);
    }
  }
}

// Usage
const processor = new StreamProcessor(
  (text) => updateTextDisplay(text),
  (code, lang) => updateCodeDisplay(code, lang)
);

for await (const chunk of stream) {
  const delta = chunk.choices?.[0]?.delta?.content || '';
  processor.processChunk(delta);
}

​
Streaming Limitations

​
Compatibility with Other Features

Streaming is NOT compatible with:
  • autoTurn (Conversational Turns) - The SDK automatically disables streaming when autoTurn is enabled
  • compliance checks - Content moderation is not available for streaming responses
Streaming IS compatible with:
  • reasoning - Thinking content appears in the stream
  • check_image_generation - Image prompts can be detected in streaming responses
  • All standard chat parameters (temperature, max_tokens, etc.)

​
Error Handling

Implement robust error handling for streaming: 
async function safeStreaming(userMessage: string) {
  try {
    const stream = await client.chat.completions({
      messages: [{ role: 'user', content: userMessage }],
      stream: true
    });

    for await (const chunk of stream) {
      try {
        const delta = chunk.choices?.[0]?.delta?.content || '';
        
        // Process chunk safely
        if (delta) {
          processStreamChunk(delta);
        }
      } catch (chunkError) {
        console.error('Error processing chunk:', chunkError);
        // Continue processing other chunks
      }
    }
  } catch (streamError) {
    console.error('Stream initialization error:', streamError);
    // Fallback to non-streaming
    const response = await client.chat.completions({
      messages: [{ role: 'user', content: userMessage }],
      stream: false
    });
    displayFinalResponse(response.choices[0].message.content);
  }
}

​
Performance Optimization

​
Throttling Updates

For better performance, throttle UI updates: 
class ThrottledDisplay {
  private updateQueue = '';
  private isUpdating = false;
  private element: HTMLElement;

  constructor(element: HTMLElement) {
    this.element = element;
  }

  addContent(delta: string) {
    this.updateQueue += delta;
    
    if (!this.isUpdating) {
      this.isUpdating = true;
      requestAnimationFrame(() => {
        this.element.textContent += this.updateQueue;
        this.updateQueue = '';
        this.isUpdating = false;
      });
    }
  }
}

// Usage
const display = new ThrottledDisplay(document.getElementById('response'));

for await (const chunk of stream) {
  const delta = chunk.choices?.[0]?.delta?.content || '';
  display.addContent(delta);
}

​
Buffering Strategy

Implement smart buffering for smoother display: 
class StreamBuffer {
  private buffer: string[] = [];
  private displayInterval: number;

  constructor(onDisplay: (text: string) => void, intervalMs = 50) {
    this.displayInterval = setInterval(() => {
      if (this.buffer.length > 0) {
        const chunk = this.buffer.shift()!;
        onDisplay(chunk);
      }
    }, intervalMs);
  }

  addChunk(delta: string) {
    this.buffer.push(delta);
  }

  finish() {
    // Flush remaining buffer
    while (this.buffer.length > 0) {
      const chunk = this.buffer.shift()!;
      // Display immediately
    }
    clearInterval(this.displayInterval);
  }
}

​
Best Practices

​
When to Use Streaming vs Conversational Turns

Use Streaming for:
  • Long-form content generation (stories, articles, explanations)
  • Real-time code generation
  • When you want immediate character-by-character display
  • Applications where you control the entire response flow
Use Conversational Turns for:
  • Natural chat interfaces that mimic human conversation
  • When you want automatic response splitting
  • Applications that benefit from realistic typing delays
  • Chat apps where the AI should feel more human-like

​
UI/UX Considerations

  • Visual feedback: Show a typing indicator or cursor
  • Graceful degradation: Fallback to non-streaming on errors
  • Performance: Throttle updates for smooth rendering
  • Accessibility: Announce streaming status to screen readers
// Example with typing indicator
function showTypingIndicator() {
  const indicator = document.createElement('span');
  indicator.textContent = '▋';
  indicator.className = 'typing-cursor';
  responseElement.appendChild(indicator);
}

function hideTypingIndicator() {
  const cursor = responseElement.querySelector('.typing-cursor');
  if (cursor) cursor.remove();
}

​
Next Steps

Media & Vision

Add image and video analysis to your streaming responses

Auto-Turn Conversations

Learn about conversational turns (alternative to streaming)

Authentication Setup

Secure your streaming implementation

Event System

Comprehensive event handling for complex applications
⌘I