eventstream and longer timeout
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@@ -5,18 +5,14 @@ FROM python:3.11-slim
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ENV PYTHONDONTWRITEBYTECODE=1
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ENV PYTHONUNBUFFERED=1
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# Set work directory
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WORKDIR /app
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# Install dependencies
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# We do this before copying the whole app to leverage Docker cache
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy the rest of the application code
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COPY . .
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# Expose the port your app runs on
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EXPOSE 5001
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CMD ["gunicorn", "--bind", "0.0.0.0:5001", "app:app"]
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# Increase timeout to 5 minutes (300s) and use threads to handle long waits
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CMD ["gunicorn", "--bind", "0.0.0.0:5001", "--timeout", "300", "--worker-class", "gthread", "--threads", "4", "app:app"]
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24
app.py
24
app.py
@@ -27,32 +27,34 @@ def about():
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def proxy_chat():
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target_url = "http://192.168.0.37:5002/v1/chat/completions"
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# Ensure 'stream' is set to True for the backend
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payload = request.json
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payload['stream'] = True
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try:
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# We use stream=True so we don't load the whole response into RAM at once
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# We use stream=True so requests doesn't buffer the whole response
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response = requests.post(
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target_url,
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json=request.json,
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json=payload,
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timeout=300,
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stream=True
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)
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# Generator to yield chunks of data as they arrive
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def generate():
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for chunk in response.iter_content(chunk_size=1024):
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yield chunk
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# This yields chunks of data to the browser as they arrive
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for chunk in response.iter_content(chunk_size=None):
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if chunk:
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yield chunk
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return Response(
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generate(),
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status=response.status_code,
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content_type=response.headers.get('content-type', 'application/json')
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content_type='text/event-stream' # Standard for streaming AI responses
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)
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except requests.exceptions.Timeout:
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return {"error": "The backend LLM timed out."}, 504
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return {"error": "Backend timed out"}, 504
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except Exception as e:
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app.logger.error(f"Proxy error: {str(e)}")
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return {"error": "Internal server error"}, 500
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return {"error": str(e)}, 500
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@app.route('/post/<path:path>/')
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def post(path):
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page = pages.get_or_404(path)
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