1  #!/usr/bin/env python3
  2  """
  3  ACTUAL CLOUD API IMPLEMENTATIONS
  4  Replace the simulation functions with real API calls
  5  """
  6  
  7  import aiohttp
  8  import os
  9  import json
 10  
 11  class CloudAPIManager:
 12      """Real cloud API implementations"""
 13      
 14      async def query_gemini(self, prompt: str, api_key: str) -> str:
 15          """Actual Google Gemini API call"""
 16          url = f"https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent?key={api_key}"
 17          
 18          payload = {
 19              "contents": [{
 20                  "parts": [{"text": prompt}]
 21              }],
 22              "generationConfig": {
 23                  "maxOutputTokens": 1000,
 24                  "temperature": 0.7
 25              },
 26              "safetySettings": [
 27                  {
 28                      "category": "HARM_CATEGORY_DANGEROUS_CONTENT",
 29                      "threshold": "BLOCK_MEDIUM_AND_ABOVE"
 30                  }
 31              ]
 32          }
 33          
 34          async with aiohttp.ClientSession() as session:
 35              async with session.post(url, json=payload, timeout=30) as response:
 36                  if response.status == 200:
 37                      data = await response.json()
 38                      return data.get("candidates", [{}])[0].get("content", {}).get("parts", [{}])[0].get("text", "")
 39                  else:
 40                      error = await response.text()
 41                      return f"Gemini Error: {response.status}"
 42      
 43      async def query_groq(self, prompt: str, api_key: str) -> str:
 44          """Actual Groq API call"""
 45          url = "https://api.groq.com/openai/v1/chat/completions"
 46          headers = {
 47              "Authorization": f"Bearer {api_key}",
 48              "Content-Type": "application/json"
 49          }
 50          
 51          payload = {
 52              "model": "mixtral-8x7b-32768",
 53              "messages": [{"role": "user", "content": prompt}],
 54              "max_tokens": 1000,
 55              "temperature": 0.7
 56          }
 57          
 58          async with aiohttp.ClientSession() as session:
 59              async with session.post(url, headers=headers, json=payload, timeout=30) as response:
 60                  if response.status == 200:
 61                      data = await response.json()
 62                      return data.get("choices", [{}])[0].get("message", {}).get("content", "")
 63                  else:
 64                      error = await response.text()
 65                      return f"Groq Error: {response.status}"
 66      
 67      async def query_together(self, prompt: str, api_key: str) -> str:
 68          """Actual Together AI API call"""
 69          url = "https://api.together.xyz/v1/chat/completions"
 70          headers = {
 71              "Authorization": f"Bearer {api_key}",
 72              "Content-Type": "application/json"
 73          }
 74          
 75          payload = {
 76              "model": "mistralai/Mixtral-8x7B-Instruct-v0.1",
 77              "messages": [{"role": "user", "content": prompt}],
 78              "max_tokens": 1000,
 79              "temperature": 0.7
 80          }
 81          
 82          async with aiohttp.ClientSession() as session:
 83              async with session.post(url, headers=headers, json=payload, timeout=30) as response:
 84                  if response.status == 200:
 85                      data = await response.json()
 86                      return data.get("choices", [{}])[0].get("message", {}).get("content", "")
 87                  else:
 88                      error = await response.text()
 89                      return f"Together Error: {response.status}"
 90      
 91      async def query_huggingface(self, prompt: str, api_key: str) -> str:
 92          """Actual Hugging Face Inference API call"""
 93          url = "https://api-inference.huggingface.co/models/mistralai/Mixtral-8x7B-Instruct-v0.1"
 94          headers = {"Authorization": f"Bearer {api_key}"}
 95          
 96          payload = {
 97              "inputs": prompt,
 98              "parameters": {
 99                  "max_new_tokens": 500,
100                  "temperature": 0.7,
101                  "return_full_text": False
102              }
103          }
104          
105          async with aiohttp.ClientSession() as session:
106              async with session.post(url, headers=headers, json=payload, timeout=30) as response:
107                  if response.status == 200:
108                      data = await response.json()
109                      if isinstance(data, list):
110                          return data[0].get("generated_text", "")
111                      return str(data)
112                  else:
113                      error = await response.text()
114                      return f"HF Error: {response.status}"