# Olakai Enterprise AI Analytics and Governance Platform > Enterprise AI analytics, ROI measurement, and governance. Answers: "How much time and money is this AI Agent saving us?" and "What risks is this AI agent or tool introducing?" ## Current SDK & CLI Versions | Tool | Version | Package | Install | |------|---------|---------|---------| | TypeScript SDK | 2.2.0 | @olakai/sdk | `npm install @olakai/sdk` | | Python SDK | 1.2.0 | olakai-sdk | `pip install olakai-sdk` | | CLI | 0.1.12 | olakai-cli | `npm install -g olakai-cli` | Verify you're using these versions for compatibility with this documentation. ## For developers: essential tool to speed up the configuration of Olakai - no web UI needed after initial auth. - [Olakai CLI Tool](https://app.olakai.ai/docs/md/olakai/olakai-cli-getting-started): `npm install -g olakai-cli` (v0.1.12) ## Quick Start - Choose Your Path Before integrating, determine your use case: ### Agentic AI (Workflows or Agents that use AI) For AI agents or automation workflows using AI that execute multi-step tasks: research agents, summarization, document processing, etc. - [Getting Started](https://app.olakai.ai/docs/md/olakai/agentic-getting-started): When to use, key concepts (workflow vs prompts) - [KPIs for Agents](https://app.olakai.ai/docs/md/olakai/agentic-kpis-guide): Executions, success rate, cost/execution, hours saved, ROI - [SDK Integration](https://app.olakai.ai/docs/md/olakai/agentic-sdk-integration): Wrap your agent workflow with SDK ### Assistive AI (Chatbots/Copilots) For employee chatbots, copilots, and AI assistants that respond to individual user prompts. - [Getting Started](https://app.olakai.ai/docs/md/olakai/assistive-getting-started): When to use, chat/copilot scenarios - [KPIs for Chat/Copilots](https://app.olakai.ai/docs/md/olakai/assistive-kpis-guide): Adoption, OLA Index, time saved, engagement - [SDK Integration](https://app.olakai.ai/docs/md/olakai/assistive-sdk-integration): Track individual prompts, conversation grouping - [Governance](https://app.olakai.ai/docs/md/olakai/assistive-governance): DLP, privacy, content policies ## Detailed API documentation** (method signatures, parameters, examples) available in the linked docs below. - [TypeScript Client SDK](https://app.olakai.ai/docs/md/olakai/api-sdk-typescript-client): Full API reference: OlakaiSDK class, wrap(), event(), error handling - [Python Client SDK](https://app.olakai.ai/docs/md/olakai/api-sdk-python-client): Full API reference: olakai_config(), olakai(), olakai_report(), olakai_monitor() - [REST API Reference](https://app.olakai.ai/docs/md/olakai/api-sdk-rest-api): REST endpoint, authentication, request/response schemas ## Reference - [Complete KPI Reference](https://app.olakai.ai/docs/md/olakai/kpis-reference): Example metrics and formulas - [LLM Integration Patterns](https://app.olakai.ai/docs/md/olakai/llm-integration-patterns): Common patterns for coding agents - [API Parameters Reference](https://app.olakai.ai/docs/md/olakai/data-architecture): Complete API parameter reference - [Task and Subtasks](https://app.olakai.ai/docs/md/olakai/task-categories-and-subtasks): Valid task/subtask values ## Full Documentation - [Complete Documentation](https://app.olakai.ai/llms-full.txt): All content in single file ## Support - [Documentation](https://app.olakai.ai/docs/olakai) - Email: support@olakai.ai