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AzureOpenAI Embedding Model and LLM Model Initialisation from Config. (#1773)

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k10
2024-09-01 02:09:00 +05:30
committed by GitHub
parent ad233034ef
commit 077d0c47f9
10 changed files with 88 additions and 22 deletions
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16
mem0/llms/azure_openai.py
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@@ -15,10 +15,20 @@ class AzureOpenAILLM(LLMBase):
# Model name should match the custom deployment name chosen for it.
if not self.config.model:
self.config.model = "gpt-4o"
api_key = os.getenv("AZURE_OPENAI_API_KEY") or self.config.api_key
self.client = AzureOpenAI(api_key=api_key, http_client=self.config.http_client)
api_key = os.getenv("LLM_AZURE_OPENAI_API_KEY") or self.config.azure_kwargs.api_key
azure_deployment = os.getenv("LLM_AZURE_DEPLOYMENT") or self.config.azure_kwargs.azure_deployment
azure_endpoint = os.getenv("LLM_AZURE_ENDPOINT") or self.config.azure_kwargs.azure_endpoint
api_version = os.getenv("LLM_AZURE_API_VERSION") or self.config.azure_kwargs.api_version
self.client = AzureOpenAI(
azure_deployment=azure_deployment,
azure_endpoint=azure_endpoint,
api_version=api_version,
api_key=api_key,
http_client=self.config.http_client
)
def _parse_response(self, response, tools):
"""
Process the response based on whether tools are used or not.