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Actualizar api_agent.py
Browse files- api_agent.py +25 -25
api_agent.py
CHANGED
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@@ -17,7 +17,7 @@ class APIAgent:
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def call_openai(self, prompt: str, is_code: bool = False) -> Optional[str]:
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"""Intenta llamar a OpenAI API"""
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api_key = self.config.get(
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if not api_key:
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return None
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@@ -25,57 +25,57 @@ class APIAgent:
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try:
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openai.api_key = api_key
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model =
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max_tokens = self.config.get(
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temperature = self.config.get(
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response = openai.ChatCompletion.create(
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model=model,
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messages=[{
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max_tokens=max_tokens,
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temperature=temperature,
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timeout=15
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)
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return response.choices[0].message.content.strip()
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except Exception as e:
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logger.error(f
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return None
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def call_deepseek(self, prompt: str, is_code: bool = False) -> Optional[str]:
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"""Intenta llamar a DeepSeek API"""
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api_key = self.config.get(
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if not api_key:
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return None
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try:
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url =
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headers = {
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}
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max_tokens = self.config.get(
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temperature = self.config.get(
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data = {
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}
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response = requests.post(url, json=data, headers=headers, timeout=20)
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response.raise_for_status()
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result = response.json()
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return result[
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except Exception as e:
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logger.error(f
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return None
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def generate_response(self, prompt: str, is_code: bool = False) -> Dict[str, Any]:
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@@ -84,18 +84,18 @@ class APIAgent:
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Returns: dict con response y source
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"""
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# Verificar si hay claves configuradas
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has_deepseek = bool(self.config.get(
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has_openai = bool(self.config.get(
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if has_deepseek:
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deepseek_response = self.call_deepseek(prompt, is_code)
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if deepseek_response:
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return {
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if has_openai:
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openai_response = self.call_openai(prompt, is_code)
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if openai_response:
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return {
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# Si no hay APIs disponibles o fallan, retornar None para usar modelo local
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return {
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def call_openai(self, prompt: str, is_code: bool = False) -> Optional[str]:
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"""Intenta llamar a OpenAI API"""
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api_key = self.config.get('openai_api_key')
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if not api_key:
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return None
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try:
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openai.api_key = api_key
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model = 'gpt-3.5-turbo'
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max_tokens = self.config.get('max_tokens', 400)
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temperature = self.config.get('temperature', 0.7)
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response = openai.ChatCompletion.create(
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model=model,
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messages=[{'role': 'user', 'content': prompt}],
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max_tokens=max_tokens,
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temperature=temperature,
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timeout=15
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)
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return response.choices[0].message.content.strip()
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except Exception as e:
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logger.error(f'Error llamando a OpenAI: {e}')
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return None
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def call_deepseek(self, prompt: str, is_code: bool = False) -> Optional[str]:
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"""Intenta llamar a DeepSeek API"""
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api_key = self.config.get('deepseek_api_key')
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if not api_key:
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return None
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try:
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url = 'https://api.deepseek.com/v1/chat/completions'
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headers = {
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'Content-Type': 'application/json',
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'Authorization': f'Bearer {api_key}'
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}
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max_tokens = self.config.get('max_tokens', 400)
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temperature = self.config.get('temperature', 0.7)
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data = {
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'model': 'deepseek-chat',
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'messages': [{'role': 'user', 'content': prompt}],
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'max_tokens': max_tokens,
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'temperature': temperature,
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'stream': False
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}
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response = requests.post(url, json=data, headers=headers, timeout=20)
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response.raise_for_status()
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result = response.json()
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return result['choices'][0]['message']['content'].strip()
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except Exception as e:
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logger.error(f'Error llamando a DeepSeek: {e}')
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return None
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def generate_response(self, prompt: str, is_code: bool = False) -> Dict[str, Any]:
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Returns: dict con response y source
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"""
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# Verificar si hay claves configuradas
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has_deepseek = bool(self.config.get('deepseek_api_key'))
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has_openai = bool(self.config.get('openai_api_key'))
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if has_deepseek:
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deepseek_response = self.call_deepseek(prompt, is_code)
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if deepseek_response:
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return {'response': deepseek_response, 'source': 'deepseek'}
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if has_openai:
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openai_response = self.call_openai(prompt, is_code)
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if openai_response:
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return {'response': openai_response, 'source': 'openai'}
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# Si no hay APIs disponibles o fallan, retornar None para usar modelo local
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return {'response': None, 'source': 'none'}
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