# Atoma

## Docs

- [Overview](https://docs.atoma.ai/changelog/overview.md): Latest updates of Atoma
- [Create chat completions](https://docs.atoma.ai/cloud-api-reference/chat/create-chat-completions.md): This function processes chat completion requests by determining whether to use streaming or non-streaming response handling based on the request payload. For streaming requests, it configures additional options to track token usage.
- [Create completions](https://docs.atoma.ai/cloud-api-reference/completions/create-completions.md): This function processes completion requests by using the chat completions endpoint.
- [Create confidential chat completions](https://docs.atoma.ai/cloud-api-reference/confidential-chat/create-confidential-chat-completions.md): This handler processes chat completion requests in a confidential manner, providing additional encryption and security measures for sensitive data processing. It supports both streaming and non-streaming responses while maintaining data confidentiality through AEAD encryption and TEE hardware, for f…
- [Create confidential completions](https://docs.atoma.ai/cloud-api-reference/confidential-completions/create-confidential-completions.md): This handler processes completions requests in a confidential manner, providing additional encryption and security measures for sensitive data processing. It supports both streaming and non-streaming responses while maintaining data confidentiality through AEAD encryption and TEE hardware, for full…
- [Create confidential embeddings](https://docs.atoma.ai/cloud-api-reference/confidential-embeddings/create-confidential-embeddings.md): This endpoint follows the OpenAI API format for generating vector embeddings from input text, but with confidential processing (through AEAD encryption and TEE hardware). The handler receives pre-processed metadata from middleware and forwards the request to the selected node.
- [Create confidential image](https://docs.atoma.ai/cloud-api-reference/confidential-images/create-confidential-image.md): This handler processes image generation requests in a confidential manner, providing additional encryption and security measures for sensitive data processing. It supports both streaming and non-streaming responses while maintaining data confidentiality through AEAD encryption and TEE hardware, for…
- [Create embeddings](https://docs.atoma.ai/cloud-api-reference/embeddings/create-embeddings.md): This endpoint follows the OpenAI API format for generating vector embeddings from input text. The handler receives pre-processed metadata from middleware and forwards the request to the selected node.
- [Get Started](https://docs.atoma.ai/cloud-api-reference/get-started.md): Learn how to use Atoma's Cloud API for AI inference
- [Health](https://docs.atoma.ai/cloud-api-reference/health/health.md)
- [Create image](https://docs.atoma.ai/cloud-api-reference/images/create-image.md): This endpoint processes requests to generate images using AI models by forwarding them to the appropriate AI node. The request metadata and compute units have already been validated by middleware before reaching this handler.
- [List models](https://docs.atoma.ai/cloud-api-reference/models/list-models.md): This endpoint mimics the OpenAI models endpoint format, returning a list of available models with their associated metadata. Each model includes standard OpenAI-compatible fields to ensure compatibility with existing OpenAI client libraries.
- [OpenRouter models listing endpoint](https://docs.atoma.ai/cloud-api-reference/models/openrouter-models-listing-endpoint.md): This endpoint returns a list of available models from the OpenRouter models file. The file is expected to be in JSON format and contains information about the models, including their IDs and other metadata.
- [Create a node lock for confidential compute](https://docs.atoma.ai/cloud-api-reference/nodes/create-a-node-lock-for-confidential-compute.md): This endpoint attempts to find a suitable node and retrieve its public key for encryption through a two-step process:
- [Create node](https://docs.atoma.ai/cloud-api-reference/nodes/create-node.md): This endpoint allows nodes to register or update their public address in the system. When a node comes online or changes its address, it can use this endpoint to ensure the system has its current address for routing requests.
- [On-Demand AI Services](https://docs.atoma.ai/documentation/get-started/on-demand-offerings.md): Confidential generative AI APIs with multi-modal support, RAG capabilities, and composable encryption for enterprise-grade privacy
- [Overview](https://docs.atoma.ai/documentation/get-started/overview.md): Enterprise-grade confidential AI infrastructure with cryptographic guarantees for data privacy and model weight protection
- [Secure AI Deployments](https://docs.atoma.ai/documentation/get-started/secure-ai-deployments.md): Enterprise-grade confidential Kubernetes infrastructure for custom AI deployments with hardware-level security and end-to-end encryption
- [Technical Architecture](https://docs.atoma.ai/documentation/get-started/technical-architecture.md): Comprehensive technical overview of the confidential computing platform, including automated Kubernetes deployments, DLT-based registry, and composable encryption

## OpenAPI Specs

- [openapi](https://docs.atoma.ai/cloud-api-reference/openapi.yml)

## Optional

- [Website](https://www.atoma.ai)
- [Community](https://discord.gg/atoma)
- [Blog](https://atomanetwork.medium.com)
- [Github](https://github.com/atoma-ai)