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| import os | |
| from openai import OpenAI | |
| # Ensure you set your API token in your environment variables or pass it directly | |
| OPENAI_API_KEY = os.getenv("OPENAI_API_KEY") # Make sure it's set in your environment | |
| if OPENAI_API_KEY is None: | |
| raise ValueError("Hugging Face API token is missing. Set it as an environment variable: OPENAI_API_KEY") | |
| # Initialize the OpenAI client using the API keys | |
| client = OpenAI(api_key=OPENAI_API_KEY) | |
| EMBEDDING_MODEL = "text-embedding-3-large" # "text-embedding-3-small" | |
| def get_embedding(text: str, model: str=EMBEDDING_MODEL) -> list[float]: | |
| """Get text embeddings from OpenAI.""" | |
| result = client.embeddings.create( | |
| model=model, | |
| input=text | |
| ) | |
| return result.data[0].embedding | |
| COMPLETIONS_MODEL = "gpt-4o-mini"# "gpt-3.5-turbo-instruct" used earlier . | |
| def get_response(messages: list[dict], model: str=COMPLETIONS_MODEL, | |
| temperature=0, max_completion_tokens=800) -> str: | |
| """Chat completion using OpenAI's GPT models. | |
| https://platform.openai.com/docs/api-reference/chat/create """ | |
| response = client.chat.completions.create( | |
| model=model, | |
| messages=messages, | |
| max_completion_tokens=max_completion_tokens, | |
| temperature=temperature, | |
| # stream=True | |
| ) | |
| return response.choices[0].message.content |