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Perplexica’s Search API supports streaming responses, allowing you to receive results incrementally as they’re generated. This provides a better user experience by displaying partial results immediately rather than waiting for the complete response.

​
Enable streaming

To enable streaming, set the stream parameter to true in your search request: 
{
  "chatModel": {
    "providerId": "550e8400-e29b-41d4-a716-446655440000",
    "key": "gpt-4o-mini"
  },
  "embeddingModel": {
    "providerId": "550e8400-e29b-41d4-a716-446655440000",
    "key": "text-embedding-3-large"
  },
  "sources": ["web"],
  "query": "What is Perplexica",
  "stream": true
}

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Response format

When streaming is enabled, the API returns a stream using Server-Sent Events (SSE) with Content-Type: text/event-stream. Each line in the stream contains a complete, valid JSON object.

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Stream headers

The streaming response includes these headers:
  • Content-Type: text/event-stream
  • Cache-Control: no-cache, no-transform
  • Connection: keep-alive

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Message types

The stream sends different message types during the search process:

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init

Sent when the stream connection is established: 
{"type":"init","data":"Stream connected"}

​
sources

Sent once with all sources used to generate the response: 
{
  "type": "sources",
  "data": [
    {
      "content": "Perplexica is an innovative, open-source AI-powered search engine...",
      "metadata": {
        "title": "What is Perplexica",
        "url": "https://example.com/perplexica"
      }
    }
  ]
}

​
response

Sent multiple times with chunks of the generated answer: 
{"type":"response","data":"Perplexica is an "}
{"type":"response","data":"innovative, open-source "}
{"type":"response","data":"AI-powered search engine..."}

​
done

Sent when the stream is complete: 
{"type":"done"}

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Complete example

Here’s what a complete streaming response looks like: 
{"type":"init","data":"Stream connected"}
{"type":"sources","data":[{"content":"...","metadata":{"title":"...","url":"..."}}]}
{"type":"response","data":"Perplexica is an "}
{"type":"response","data":"innovative, open-source "}
{"type":"response","data":"AI-powered search engine..."}
{"type":"done"}

​
Consuming the stream

Here are examples of how to consume the streaming API in different languages: 
const response = await fetch('http://localhost:3000/api/search', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    chatModel: {
      providerId: '550e8400-e29b-41d4-a716-446655440000',
      key: 'gpt-4o-mini'
    },
    embeddingModel: {
      providerId: '550e8400-e29b-41d4-a716-446655440000',
      key: 'text-embedding-3-large'
    },
    sources: ['web'],
    query: 'What is Perplexica',
    stream: true
  })
});

const reader = response.body.getReader();
const decoder = new TextDecoder();

while (true) {
  const { done, value } = await reader.read();
  if (done) break;
  
  const chunk = decoder.decode(value);
  const lines = chunk.split('\n').filter(line => line.trim());
  
  for (const line of lines) {
    const message = JSON.parse(line);
    
    switch (message.type) {
      case 'init':
        console.log('Stream connected');
        break;
      case 'sources':
        console.log('Sources:', message.data);
        break;
      case 'response':
        process.stdout.write(message.data);
        break;
      case 'done':
        console.log('\nStream complete');
        break;
    }
  }
}
Each line in the stream is a complete JSON object. Make sure to parse each line separately rather than treating the entire stream as a single JSON document.

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Stream lifecycle

  1. Connection - The stream begins with an init message
  2. Sources - A sources message contains all references used
  3. Content - Multiple response messages deliver the answer incrementally
  4. Completion - A done message signals the end of the stream
If the client disconnects before the stream completes, the server will automatically clean up resources and stop processing the request.

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Non-streaming mode

If you prefer to receive the complete response at once, set stream to false or omit the parameter (defaults to false): 
{
  "chatModel": { ... },
  "embeddingModel": { ... },
  "sources": ["web"],
  "query": "What is Perplexica",
  "stream": false
}
The response will be a standard JSON object: 
{
  "message": "Perplexica is an innovative, open-source AI-powered search engine...",
  "sources": [
    {
      "content": "...",
      "metadata": {
        "title": "...",
        "url": "..."
      }
    }
  ]
}

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