# ARIS Core Ecosystem

> Build, deploy, and operate decentralized AI workloads on ARIS.

## Docs

- [Advanced usage](https://docs.bidsmith.pro/advanced-usage.md): Production patterns for retries, streaming, async workloads, and request controls.
- [Agentic tool calling](https://docs.bidsmith.pro/agentic-rag.md): Let the model decide when retrieval tools are required.
- [Generate](https://docs.bidsmith.pro/api-reference/generate.md): Run model inference on the ARIS network.
- [Handshake](https://docs.bidsmith.pro/api-reference/handshake.md): Create a session token for a target node before generation.
- [Network architecture](https://docs.bidsmith.pro/concepts.md): Core ARIS building blocks and end-to-end request lifecycle.
- [Error handling](https://docs.bidsmith.pro/errors.md): ARIS SDK exceptions, API status codes, and retry recommendations.
- [Introduction](https://docs.bidsmith.pro/index.md): Build, run, and scale decentralized AI workloads on ARIS.
- [Lifecycle Hooks](https://docs.bidsmith.pro/lifecycle-hooks.md): Inject custom logic into the RAG pipeline at key execution stages.
- [MCP Integration](https://docs.bidsmith.pro/mcp-integration.md): Exposing the RAG pipeline as Model Context Protocol (MCP) tools.
- [Monitoring](https://docs.bidsmith.pro/monitoring.md): Metrics, logs, traces, and alerts for ARIS nodes and registry services.
- [Token Optimization & Chunking](https://docs.bidsmith.pro/optimization.md): Strategies for efficient context window usage: Chunking, Overlap, and Token Budgeting.
- [Python SDK](https://docs.bidsmith.pro/python-sdk.md): Use the official ARIS Python client for generation, retries, and node routing.
- [Quickstart](https://docs.bidsmith.pro/quickstart.md): Install the SDK, authenticate, and send your first request.
- [Advanced RAG Architecture](https://docs.bidsmith.pro/rag-architecture.md): Deep dive into the Aris RAG pipeline: Hybrid Search, RRF, GraphRAG, and Contextual Compression.
- [Run node](https://docs.bidsmith.pro/run-node.md): Provision, register, and operate an ARIS worker node in production.
- [Scaling](https://docs.bidsmith.pro/scaling.md): Scale ARIS workers and registry components for higher throughput and reliability.

## OpenAPI Specs

- [openapi](https://docs.bidsmith.pro/api-reference/openapi.json)