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* Fix jetson stats reading * Return result * Avoid unknown class for cover image * fix double encoding of passwords in camera wizard * formatting * empty homekit config fixes * add locks to jina v1 embeddings protect tokenizer and feature extractor in jina_v1_embedding with per-instance thread lock to avoid the "Already borrowed" RuntimeError during concurrent tokenization * Capitalize correctly * replace deprecated google-generativeai with google-genai update gemini genai provider with new calls from SDK provider_options specifies any http options suppress unneeded info logging * fix attribute area on detail stream hover --------- Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
72 lines
2.3 KiB
Python
72 lines
2.3 KiB
Python
"""Gemini Provider for Frigate AI."""
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import logging
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from typing import Optional
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from google import genai
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from google.genai import errors, types
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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.gemini)
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class GeminiClient(GenAIClient):
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"""Generative AI client for Frigate using Gemini."""
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provider: genai.Client
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def _init_provider(self):
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"""Initialize the client."""
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# Merge provider_options into HttpOptions
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http_options_dict = {
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"api_version": "v1",
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"timeout": int(self.timeout * 1000), # requires milliseconds
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}
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if isinstance(self.genai_config.provider_options, dict):
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http_options_dict.update(self.genai_config.provider_options)
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return genai.Client(
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api_key=self.genai_config.api_key,
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http_options=types.HttpOptions(**http_options_dict),
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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 Gemini."""
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contents = [
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types.Part.from_bytes(data=img, mime_type="image/jpeg") for img in images
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] + [prompt]
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try:
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# Merge runtime_options into generation_config if provided
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generation_config_dict = {"candidate_count": 1}
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generation_config_dict.update(self.genai_config.runtime_options)
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response = self.provider.models.generate_content(
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model=self.genai_config.model,
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contents=contents,
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config=types.GenerateContentConfig(
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**generation_config_dict,
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),
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)
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except errors.APIError as e:
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logger.warning("Gemini returned an error: %s", str(e))
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return None
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except Exception as e:
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logger.warning("An unexpected error occurred with Gemini: %s", str(e))
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return None
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try:
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description = response.text.strip()
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except (ValueError, AttributeError):
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# No description was generated
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return None
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return description
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def get_context_size(self) -> int:
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"""Get the context window size for Gemini."""
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# Gemini Pro Vision has a 1M token context window
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return 1000000
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