docs: streaming responses design spec
Browse files
docs/superpowers/specs/2026-06-24-streaming-responses-design.md
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| 1 |
+
# Streaming Responses β Design Spec
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| 2 |
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**Date:** 2026-06-24
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**Status:** Approved
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---
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## Problem
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`POST /api/chat` blocks 8β15s before returning a full JSON response. Users see a blank spinner. Streaming tokens as they arrive reduces perceived latency to ~1s first token.
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---
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## Approach
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SSE (Server-Sent Events) over `POST /api/chat`. Backend returns `StreamingResponse(text/event-stream)`. Frontend uses `fetch` + `ReadableStream` (not `EventSource` β EventSource doesn't support POST bodies).
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Answer tokens stream first. Sources + metadata arrive in a final `done` event after answer completes.
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---
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## SSE Event Format
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```
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data: {"type":"token","content":"The "}
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data: {"type":"token","content":"answer is..."}
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data: {"type":"done","sources":[...],"retrieval_method":"hybrid+rerank+web"}
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data: {"type":"error","message":"LLM call failed"}
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```
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---
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## Data Flow
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```
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POST /api/chat
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β
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ββ condense_question() β sync, ~200ms, existing fn
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ββ search_web() β sync, ~300ms, existing fn
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ββ retriever.invoke() β sync, ~100ms, inside stream_query_with_web
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β
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ββ stream_query_with_web() β async generator
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β
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ββ llm.astream(messages) β yield token events
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ββ collect full answer
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ββ memory.save_context()
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ββ eval_log.append()
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ββ yield done event with sources
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```
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---
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## Backend Changes
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### `server/chain.py`
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Add `stream_query_with_web()` as an async generator alongside existing `run_query_with_web()`.
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```python
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async def stream_query_with_web(
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retriever, memory, question: str, web_sources: list[dict]
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) -> AsyncGenerator[dict, None]:
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# 1. RAG retrieval (same as run_query_with_web)
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# 2. Build messages (same as run_query_with_web)
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# 3. async for chunk in llm.astream(messages): yield {"type":"token","content":chunk.content}
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# 4. After loop: memory.save_context(), yield {"type":"done","sources":rag_docs}
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```
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- `run_query_with_web` kept unchanged (used by eval script).
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- Memory saved after full answer assembled (not mid-stream).
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- On exception: yield `{"type":"error","message":str(e)}`.
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### `server/routes/chat.py`
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Replace `return {...}` with `StreamingResponse`.
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```python
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async def generate():
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# condense + search (sync, before streaming starts)
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# call stream_query_with_web
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# for each event: yield f"data: {json.dumps(event)}\n\n"
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# on done event: augment with web_sources, retrieval_method, citation_index
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return StreamingResponse(generate(), media_type="text/event-stream")
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```
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- No-docs case: yield error event instead of raising `HTTPException` (HTTPException inside a StreamingResponse generator is swallowed).
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- `gc.collect()` + `log_memory_mb()` calls moved to after generator completes (inside `generate()` finally block).
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---
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## Frontend Changes
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### `frontend/src/api.js`
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Add `streamChat(question, workspace, {onToken, onDone, onError})` function.
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```javascript
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async function streamChat(question, workspace, { onToken, onDone, onError }) {
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const response = await fetch(`${API_BASE}/api/chat?workspace=${workspace}`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ question }),
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});
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const reader = response.body.getReader();
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const decoder = new TextDecoder();
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let buffer = '';
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while (true) {
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const { done, value } = await reader.read();
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if (done) break;
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buffer += decoder.decode(value, { stream: true });
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const lines = buffer.split('\n');
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buffer = lines.pop();
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for (const line of lines) {
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if (!line.startsWith('data: ')) continue;
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const event = JSON.parse(line.slice(6));
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if (event.type === 'token') onToken(event.content);
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else if (event.type === 'done') onDone(event);
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else if (event.type === 'error') onError(event.message);
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}
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}
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}
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```
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Old `sendMessage` function removed or replaced.
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### `frontend/src/components/ChatArea.jsx`
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On submit:
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1. Add user message to state immediately.
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2. Add empty assistant message with `loading: true`.
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3. Call `streamChat()`:
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- `onToken`: append content to that message via `setMessages`.
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- `onDone`: set sources, retrieval_method, loading=false.
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- `onError`: set error text, loading=false.
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```javascript
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const msgId = crypto.randomUUID();
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setMessages(prev => [...prev,
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{ role: 'user', content: question },
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{ id: msgId, role: 'assistant', content: '', sources: [], loading: true }
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]);
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await streamChat(question, workspace, {
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onToken: (t) => setMessages(prev => prev.map(m =>
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m.id === msgId ? { ...m, content: m.content + t } : m
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)),
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onDone: (evt) => setMessages(prev => prev.map(m =>
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m.id === msgId ? { ...m, sources: evt.sources, retrieval_method: evt.retrieval_method, loading: false } : m
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)),
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onError: (msg) => setMessages(prev => prev.map(m =>
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m.id === msgId ? { ...m, content: msg || 'Error generating response.', loading: false } : m
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)),
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});
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```
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---
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## Files Changed
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| File | Change |
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|------|--------|
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| `server/chain.py` | Add `stream_query_with_web()` async generator |
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| 162 |
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| `server/routes/chat.py` | Return `StreamingResponse`, move gc/log to finally block |
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| 163 |
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| `frontend/src/api.js` | Add `streamChat()`, remove old `sendMessage` |
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| `frontend/src/components/ChatArea.jsx` | Stream tokens into message state |
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---
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## Edge Cases
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| Case | Handling |
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| 171 |
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|------|----------|
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| 172 |
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| No documents uploaded | Yield error event (HTTPException can't be raised inside StreamingResponse generator) |
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| 173 |
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| LLM error mid-stream | try/except in generator β yield error event, partial answer shown |
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| User navigates away | Reader cancelled, generator stops, memory not saved (acceptable) |
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| Empty token chunks | `if not chunk.content: continue` guard in stream loop |
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---
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## What Stays Unchanged
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- `run_query_with_web()` in chain.py β kept for eval script compatibility
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- `condense_question()` β unchanged, called sync before streaming
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- Memory architecture β `save_context()` still called, just deferred to post-stream
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- Source scoring (similarity, BM25, RRF, rerank) β unchanged, arrives in `done` event
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- `DELETE /api/chat/memory` β unchanged
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