Refactoring from gemini to google ai (#3244)

This commit is contained in:
Parshva Daftari
2025-08-01 11:56:42 -07:00
committed by GitHub
parent fbe8a2e90f
commit 89b67e0834
8 changed files with 52 additions and 95 deletions
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[OpenAI](https://docs.mem0.ai/components/llms/models/openai): Integrate OpenAI LLM models by setting OPENAI_API_KEY and configuring the Memory client with provider settings - supports both standard models (like gpt-4) and structured-outputs, with options for temperature, max tokens and Openrouter integration.
[Anthropic](https://docs.mem0.ai/components/llms/models/anthropic): Integrate Anthropic LLM models by setting ANTHROPIC_API_KEY from your Account Settings Page and configuring the Memory client with provider settings - supports models like claude-3-7-sonnet-latest with customizable temperature and max_tokens parameters.
[Google AI](https://docs.mem0.ai/components/llms/models/google_AI): Integrate Gemini LLM models by setting GEMINI_API_KEY from Google Maker Suite and configuring the Memory client with litellm provider - supports models like gemini-pro with customizable temperature and max_tokens parameters.
[Google AI](https://docs.mem0.ai/components/llms/models/google_AI): Integrate Gemini LLM models by setting GOOGLE_API_KEY from Google Maker Suite and configuring the Memory client with litellm provider - supports models like gemini-pro with customizable temperature and max_tokens parameters.
[Groq](https://docs.mem0.ai/components/llms/models/groq): Integrate Groq's Language Processing Unit (LPU) optimized models by setting GROQ_API_KEY and configuring the Memory client with provider settings - supports models like mixtral-8x7b-32768 with customizable temperature and max_tokens parameters for high-performance AI inference.
[Together](https://docs.mem0.ai/components/llms/models/together): Integrate Together LLM models by setting TOGETHER_API_KEY and configuring the Memory client with provider settings - supports both standard models (like together-llama-3-8b-instant) and structured-outputs, with options for temperature, max tokens and Openrouter integration.
[Deepseek](https://docs.mem0.ai/components/llms/models/deepseek): Integrate Deepseek LLM models by setting DEEPSEEK_API_KEY and configuring the Memory client with provider settings - supports both standard models (like deepseek-chat) and structured-outputs, with options for temperature, max tokens and Openrouter integration.