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elsaiThe Python platform for production AI

Build agents, compose Core building blocks, manage prompts, enforce guardrails, and observe LLM systems — one documentation home for the full stack.

Products

Documentation for the full elsai stack

Pick the product that matches your job — each has its own guides, APIs, and Get Started path.

Build & orchestrate

Agentkit

Model-agnostic agents, tools, multi-agent graphs and swarms, MCP, streaming, and sessions.

Compose building blocks

elsai Core

LLMs, embeddings, vector stores, retrieval, memory, Graph RAG, document processing, and integrations.

Version & release prompts

Prompt Manager

Author, review, version, and promote prompts across environments. Fetch the active version at runtime via SDK.

Protect & enforce policy

Guardrails

Toxicity, PII/PHI, token budgets, tool authorization, rate limiting, and programmable input/output rails.

Observe & measure

ARMS

Track usage, cost, latency, RAG, and agent traces. Project-based observability for SaaS and on-prem.

Platform

How the products fit together

Use them independently, or as one path from build to production observability.

1

Build

Orchestrate agents and Core components.

2

Prompt

Ship reviewed prompt versions without redeploys.

3

Protect

Run safety and policy checks before and after the LLM.

4

Observe

Measure cost, latency, and traces in production.

Ecosystem

Works with your providers

Model hosts, vector stores, cloud storage, databases, OCR, and protocol integrations used across Core and Agents.

AWS BedrockAzure OpenAIOpenAIAnthropicGeminiLiteLLMOllamaChromaDBPineconeWeaviateNeo4jAWS S3Azure BlobSharePointPostgreSQLMySQLAmazon TextractMistral OCRMCP / OpenAPI

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