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import json
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import requests
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from typing import Dict, Any, Generator, Optional
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class DeepInfraHandler:
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API_URL = "https://api.deepinfra.com/v1/openai/chat/completions"
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def __init__(self):
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self.headers = {
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"Accept": "text/event-stream",
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"Accept-Encoding": "gzip, deflate, br, zstd",
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"Content-Type": "application/json",
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"Connection": "keep-alive",
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36",
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}
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def _prepare_payload(self, **kwargs) -> Dict[str, Any]:
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"""Prepare the payload for the API request"""
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return {
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"model": kwargs.get("model"),
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"messages": kwargs.get("messages"),
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"temperature": kwargs.get("temperature", 0.7),
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"max_tokens": kwargs.get("max_tokens", 4096),
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"top_p": kwargs.get("top_p", 1.0),
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"frequency_penalty": kwargs.get("frequency_penalty", 0.0),
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"presence_penalty": kwargs.get("presence_penalty", 0.0),
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"stop": kwargs.get("stop", []),
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"stream": kwargs.get("stream", False)
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}
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def generate_completion(self, **kwargs) -> Any:
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"""Generate completion based on streaming preference"""
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payload = self._prepare_payload(**kwargs)
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response = requests.post(
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self.API_URL,
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headers=self.headers,
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json=payload,
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stream=payload["stream"]
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)
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if payload["stream"]:
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return self._handle_streaming_response(response)
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return self._handle_regular_response(response)
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def _handle_streaming_response(self, response) -> Generator[str, None, None]:
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"""Handle streaming response from the API"""
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for line in response.iter_lines(decode_unicode=True):
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if line.startswith("data:"):
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try:
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content = json.loads(line[5:])
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if content == "[DONE]":
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continue
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delta_content = content.get("choices", [{}])[0].get("delta", {}).get("content")
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if delta_content:
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yield delta_content
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except:
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continue
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def _handle_regular_response(self, response) -> Dict[str, Any]:
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"""Handle regular (non-streaming) response from the API"""
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try:
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return response.json()
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except Exception as e:
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raise Exception(f"Error processing response: {str(e)}") |