mirror of
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74 lines
2.5 KiB
Python
74 lines
2.5 KiB
Python
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"""Azure OpenAI Provider for Frigate AI."""
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import base64
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import logging
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from typing import Optional
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from urllib.parse import parse_qs, urlparse
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from openai import AzureOpenAI
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from frigate.config import GenAIProviderEnum
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from frigate.genai import GenAIClient, register_genai_provider
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logger = logging.getLogger(__name__)
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@register_genai_provider(GenAIProviderEnum.azure_openai)
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class OpenAIClient(GenAIClient):
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"""Generative AI client for Frigate using Azure OpenAI."""
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provider: AzureOpenAI
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def _init_provider(self):
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"""Initialize the client."""
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try:
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parsed_url = urlparse(self.genai_config.base_url)
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query_params = parse_qs(parsed_url.query)
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api_version = query_params.get("api-version", [None])[0]
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azure_endpoint = f"{parsed_url.scheme}://{parsed_url.netloc}/"
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if not api_version:
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logger.warning("Azure OpenAI url is missing API version.")
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return None
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except Exception as e:
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logger.warning("Error parsing Azure OpenAI url: %s", str(e))
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return None
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return AzureOpenAI(
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api_key=self.genai_config.api_key,
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api_version=api_version,
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azure_endpoint=azure_endpoint,
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)
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def _send(self, prompt: str, images: list[bytes]) -> Optional[str]:
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"""Submit a request to Azure OpenAI."""
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encoded_images = [base64.b64encode(image).decode("utf-8") for image in images]
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try:
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result = self.provider.chat.completions.create(
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model=self.genai_config.model,
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messages=[
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{
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"role": "user",
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"content": [{"type": "text", "text": prompt}]
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+ [
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{
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"type": "image_url",
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"image_url": {
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"url": f"data:image/jpeg;base64,{image}",
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"detail": "low",
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},
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}
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for image in encoded_images
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],
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},
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],
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timeout=self.timeout,
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)
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except Exception as e:
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logger.warning("Azure OpenAI returned an error: %s", str(e))
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return None
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if len(result.choices) > 0:
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return result.choices[0].message.content.strip()
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return None
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