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docs: Async Add Announcement (#3231)

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This commit is contained in:
Saket Aryan
2025-07-29 00:26:59 +05:30
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parent d0f61d5995
commit 08e7ae02de
120 changed files with 123 additions and 118 deletions
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docs/components/llms/config.mdx
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---
<Snippet file="security-compliance.mdx" />
<Snippet file="blank-notif.mdx" />
## How to define configurations?

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docs/components/llms/models/anthropic.mdx
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title: Anthropic
---
<Snippet file="security-compliance.mdx" />
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To use Anthropic's models, please set the `ANTHROPIC_API_KEY` which you find on their [Account Settings Page](https://console.anthropic.com/account/keys).

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docs/components/llms/models/aws_bedrock.mdx
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title: AWS Bedrock
---
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### Setup
- Before using the AWS Bedrock LLM, make sure you have the appropriate model access from [Bedrock Console](https://us-east-1.console.aws.amazon.com/bedrock/home?region=us-east-1#/modelaccess).

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docs/components/llms/models/azure_openai.mdx
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title: Azure OpenAI
---
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<Note> Mem0 Now Supports Azure OpenAI Models in TypeScript SDK </Note>

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docs/components/llms/models/deepseek.mdx
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title: DeepSeek
---
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To use DeepSeek LLM models, you have to set the `DEEPSEEK_API_KEY` environment variable. You can also optionally set `DEEPSEEK_API_BASE` if you need to use a different API endpoint (defaults to "https://api.deepseek.com").

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docs/components/llms/models/gemini.mdx
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title: Gemini
---
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To use the Gemini model, set the `GEMINI_API_KEY` environment variable. You can obtain the Gemini API key from [Google AI Studio](https://aistudio.google.com/app/apikey).

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docs/components/llms/models/google_AI.mdx
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title: Google AI
---
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To use Google AI model, you have to set the `GOOGLE_API_KEY` environment variable. You can obtain the Google API key from the [Google Maker Suite](https://makersuite.google.com/app/apikey)

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docs/components/llms/models/groq.mdx
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title: Groq
---
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[Groq](https://groq.com/) is the creator of the world's first Language Processing Unit (LPU), providing exceptional speed performance for AI workloads running on their LPU Inference Engine.

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docs/components/llms/models/langchain.mdx
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title: LangChain
---
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Mem0 supports LangChain as a provider to access a wide range of LLM models. LangChain is a framework for developing applications powered by language models, making it easy to integrate various LLM providers through a consistent interface.

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docs/components/llms/models/litellm.mdx
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[Litellm](https://litellm.vercel.app/docs/) is compatible with over 100 large language models (LLMs), all using a standardized input/output format. You can explore the [available models](https://litellm.vercel.app/docs/providers) to use with Litellm. Ensure you set the `API_KEY` for the model you choose to use.

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docs/components/llms/models/lmstudio.mdx
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title: LM Studio
---
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To use LM Studio with Mem0, you'll need to have LM Studio running locally with its server enabled. LM Studio provides a way to run local LLMs with an OpenAI-compatible API.

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docs/components/llms/models/mistral_AI.mdx
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title: Mistral AI
---
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To use mistral's models, please obtain the Mistral AI api key from their [console](https://console.mistral.ai/). Set the `MISTRAL_API_KEY` environment variable to use the model as given below in the example.

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docs/components/llms/models/ollama.mdx
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You can use LLMs from Ollama to run Mem0 locally. These [models](https://ollama.com/search?c=tools) support tool support.

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docs/components/llms/models/openai.mdx
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title: OpenAI
---
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To use OpenAI LLM models, you have to set the `OPENAI_API_KEY` environment variable. You can obtain the OpenAI API key from the [OpenAI Platform](https://platform.openai.com/account/api-keys).

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docs/components/llms/models/sarvam.mdx
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title: Sarvam AI
---
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**Sarvam AI** is an Indian AI company developing language models with a focus on Indian languages and cultural context. Their latest model **Sarvam-M** is designed to understand and generate content in multiple Indian languages while maintaining high performance in English.

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docs/components/llms/models/together.mdx
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To use TogetherAI LLM models, you have to set the `TOGETHER_API_KEY` environment variable. You can obtain the TogetherAI API key from their [Account settings page](https://api.together.xyz/settings/api-keys).

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docs/components/llms/models/vllm.mdx
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title: vLLM
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[vLLM](https://docs.vllm.ai/) is a high-performance inference engine for large language models that provides significant performance improvements for local inference. It's designed to maximize throughput and memory efficiency for serving LLMs.

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docs/components/llms/models/xAI.mdx
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title: xAI
---
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[xAI](https://x.ai/) is a new AI company founded by Elon Musk that develops large language models, including Grok. Grok is trained on real-time data from X (formerly Twitter) and aims to provide accurate, up-to-date responses with a touch of wit and humor.

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docs/components/llms/overview.mdx
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---
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Mem0 includes built-in support for various popular large language models. Memory can utilize the LLM provided by the user, ensuring efficient use for specific needs.