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105
api/core/llm/provider/azure_provider.py
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105
api/core/llm/provider/azure_provider.py
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import json
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from typing import Optional, Union
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import requests
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from core.llm.provider.base import BaseProvider
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from models.provider import ProviderName
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class AzureProvider(BaseProvider):
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def get_models(self, model_id: Optional[str] = None) -> list[dict]:
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credentials = self.get_credentials(model_id)
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url = "{}/openai/deployments?api-version={}".format(
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credentials.get('openai_api_base'),
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credentials.get('openai_api_version')
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)
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headers = {
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"api-key": credentials.get('openai_api_key'),
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"content-type": "application/json; charset=utf-8"
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}
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response = requests.get(url, headers=headers)
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if response.status_code == 200:
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result = response.json()
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return [{
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'id': deployment['id'],
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'name': '{} ({})'.format(deployment['id'], deployment['model'])
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} for deployment in result['data'] if deployment['status'] == 'succeeded']
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else:
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# TODO: optimize in future
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raise Exception('Failed to get deployments from Azure OpenAI. Status code: {}'.format(response.status_code))
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def get_credentials(self, model_id: Optional[str] = None) -> dict:
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"""
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Returns the API credentials for Azure OpenAI as a dictionary.
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"""
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encrypted_config = self.get_provider_api_key(model_id=model_id)
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config = json.loads(encrypted_config)
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config['openai_api_type'] = 'azure'
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config['deployment_name'] = model_id
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return config
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def get_provider_name(self):
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return ProviderName.AZURE_OPENAI
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def get_provider_configs(self, obfuscated: bool = False) -> Union[str | dict]:
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"""
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Returns the provider configs.
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"""
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try:
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config = self.get_provider_api_key()
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config = json.loads(config)
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except:
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config = {
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'openai_api_type': 'azure',
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'openai_api_version': '2023-03-15-preview',
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'openai_api_base': 'https://foo.microsoft.com/bar',
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'openai_api_key': ''
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}
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if obfuscated:
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if not config.get('openai_api_key'):
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config = {
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'openai_api_type': 'azure',
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'openai_api_version': '2023-03-15-preview',
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'openai_api_base': 'https://foo.microsoft.com/bar',
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'openai_api_key': ''
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}
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config['openai_api_key'] = self.obfuscated_token(config.get('openai_api_key'))
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return config
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return config
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def get_token_type(self):
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# TODO: change to dict when implemented
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return lambda value: value
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def config_validate(self, config: Union[dict | str]):
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"""
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Validates the given config.
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"""
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# TODO: implement
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pass
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def get_encrypted_token(self, config: Union[dict | str]):
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"""
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Returns the encrypted token.
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"""
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return json.dumps({
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'openai_api_type': 'azure',
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'openai_api_version': '2023-03-15-preview',
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'openai_api_base': config['openai_api_base'],
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'openai_api_key': self.encrypt_token(config['openai_api_key'])
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})
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def get_decrypted_token(self, token: str):
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"""
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Returns the decrypted token.
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"""
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config = json.loads(token)
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config['openai_api_key'] = self.decrypt_token(config['openai_api_key'])
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return config
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