- [Akka](../../index.html) - [Developing](../index.html) - [Integrations](index.html) - [AI & models](ai-and-models.html) # AI & models Akka provides native integration with 10 LLM providers. You configure a model in `application.conf` and your Agents use it automatically. No additional libraries or adapters are required. ## Built-in providers | Provider | Site | | --- | --- | | Anthropic | [anthropic.com](https://www.anthropic.com/) | | OpenAI | [openai.com](https://openai.com/) | | Google AI Gemini | [gemini.google.com](https://gemini.google.com/) | | Google Cloud Vertex AI | [cloud.google.com/vertex-ai](https://cloud.google.com/vertex-ai) | | AWS Bedrock | [aws.amazon.com/bedrock](https://aws.amazon.com/bedrock/) | | Mistral AI | [mistral.ai](https://mistral.ai/) | | Hugging Face | [huggingface.co](https://huggingface.co/) | | Ollama (local) | [ollama.com](https://ollama.com/) | | LocalAI (local) | [localai.io](https://localai.io/) | ## Custom providers You can plug in any model by implementing the `ModelProvider.Custom` interface. This involves the underlying LangChain4J `ChatModel` and optionally `StreamingChatModel` implementations. ## See also - [Agents](../agents.html) — how Agents interact with AI models - [Model provider details](../model-provider-details.html) — full configuration reference for each provider [Component and service calls](../component-and-service-calls.html) [Data & knowledge](data-and-knowledge.html)