# Documentation

## Docs

- [Getting Started](https://docs.eigenai.com/index.md): EigenAI is a high-performance platform for model inference, fine-tuning, and deployment.
- [Deployments](https://docs.eigenai.com/platform/deployments.md): Deploy a model to a dedicated inference endpoint and call it via an OpenAI-compatible API.
- [Overview](https://docs.eigenai.com/platform/fine-tuning.md): Fine-tune a base model on your own dataset to adapt it for your use case.
- [RL](https://docs.eigenai.com/platform/fine-tuning/agent-rl.md): Train agents with reinforcement learning using verifiable reward functions and MCP tools.
- [Image Editing](https://docs.eigenai.com/platform/fine-tuning/image-editing.md): Fine-tune an image editing model on your own image pairs to learn specific styles, objects, or editing tasks.
- [SFT](https://docs.eigenai.com/platform/fine-tuning/sft.md): Supervised Fine-Tuning: train a model to follow instructions or adopt a new style using labeled conversation data.
- [Chatbot Interaction](https://docs.eigenai.com/products/eigendata-cli/core-concepts/chatbot-interaction.md): How you interact with EigenData-CLI through natural language to configure and run tasks.
- [Domain & Reference Document](https://docs.eigenai.com/products/eigendata-cli/core-concepts/domain.md): Learn about domains and reference documents in EigenData-CLI.
- [Function Schema](https://docs.eigenai.com/products/eigendata-cli/core-concepts/function-schema.md): Understand the function schema format used in EigenData-CLI for defining tool capabilities.
- [MCP Server](https://docs.eigenai.com/products/eigendata-cli/core-concepts/mcp-server.md): Understand how MCP (Model Context Protocol) servers integrate with EigenData-CLI.
- [Data Audit](https://docs.eigenai.com/products/eigendata-cli/core-features/data-audit.md): Inspect data against the schema and business rules, analyze function coverage, and produce a structured report highlighting issues, anomalies, coverage gaps, and quality metrics.
- [Data Generate](https://docs.eigenai.com/products/eigendata-cli/core-features/data-generate.md): Generates synthetic or sample data from scratch based on a provided MCP (schema/config), producing records that conform to the defined structure and constraints.
- [Data Repair](https://docs.eigenai.com/products/eigendata-cli/core-features/data-repair.md): Detects and resolves minor errors, inconsistencies, or malformed values in existing data, keeping changes minimal and targeted.
- [Schema Polish](https://docs.eigenai.com/products/eigendata-cli/core-features/schema-polish.md): Refines and improves an existing schema — cleaning up naming conventions, structure, types, and consistency without changing its core definition.
- [Schema-Triggered Patch](https://docs.eigenai.com/products/eigendata-cli/core-features/schema-triggered-patch.md): Automatically patches existing data when the MCP/schema is updated — reconciling records to align with the new schema without a full regeneration.
- [Demo Samples](https://docs.eigenai.com/products/eigendata-cli/datasets/apex-agent/demo.md): A free 10-task sample of the APEX Agent dataset — management consulting cases across Project Terrace (Floor & Decor) and Project Roku (CTV platform analysis).
- [Full Dataset](https://docs.eigenai.com/products/eigendata-cli/datasets/apex-agent/overview.md): The full APEX Agent corpus — long-horizon, finance-domain, tool-using tasks across investment banking, law, and management consulting, synthesized from scratch by EigenData-CLI.
- [Enterprise Database](https://docs.eigenai.com/products/eigendata-cli/datasets/enterprise-db.md): Enterprise database operations with realistic schema and query scenarios.
- [Google Workspace](https://docs.eigenai.com/products/eigendata-cli/datasets/google-workspace.md): Everyday Google Workspace tasks — managing emails, calendars, sheets, and contacts in single-turn and multi-turn formats.
- [Datasets](https://docs.eigenai.com/products/eigendata-cli/datasets/index.md): Off-the-shelf datasets generated by EigenData-CLI for agent evaluation and training, spanning diverse domains and task complexities.
- [OpenClaw](https://docs.eigenai.com/products/eigendata-cli/datasets/openclaw.md): Agentic coding and tool-use tasks across productivity, code intelligence, social interaction, search, creative synthesis, and safety — built on the WildClawBench framework.
- [Tau2-Bench](https://docs.eigenai.com/products/eigendata-cli/datasets/tau2-bench.md): Multi-turn function-calling dialogs for customer service across airline, banking, and retail domains.
- [Getting Started](https://docs.eigenai.com/products/eigendata-cli/getting-started.md): Install, configure, and start using EigenData-CLI in minutes.
- [What is EigenData-CLI](https://docs.eigenai.com/products/eigendata-cli/intro.md): EigenData-CLI is a natural language-driven command-line tool for generating, refining, auditing, and repairing high-quality function-calling agent data.
- [Troubleshooting](https://docs.eigenai.com/products/eigendata-cli/reference/troubleshooting.md): Common issues and solutions when using EigenData-CLI.
- [/configure](https://docs.eigenai.com/products/eigendata-cli/utility-commands/configure.md): Update EigenData-CLI settings including API key, MCP server URL, and schema file.
- [/execute](https://docs.eigenai.com/products/eigendata-cli/utility-commands/execute.md): Run tasks from a YAML configuration file for reproducible experiments and batch processing.
- [/tutorial](https://docs.eigenai.com/products/eigendata-cli/utility-commands/tutorial.md): Toggle tutorial hints on or off during your EigenData-CLI session.
- [/version](https://docs.eigenai.com/products/eigendata-cli/utility-commands/version.md): Display the current version of EigenData-CLI.
- [/view](https://docs.eigenai.com/products/eigendata-cli/utility-commands/view.md): Launch the web-based data viewer to browse and inspect generated datasets.
- [Base URL](https://docs.eigenai.com/products/model-api/api-reference/base-url.md): Production base URLs for all API requests.
- [Create Chat Completions](https://docs.eigenai.com/products/model-api/api-reference/chat-completions.md): Create a chat completion from a list of messages.
- [Generate Audio](https://docs.eigenai.com/products/model-api/api-reference/generate-audio.md): Transcribe audio to text (ASR) or synthesize speech from text (TTS).
- [Generate Image](https://docs.eigenai.com/products/model-api/api-reference/generate-image.md): Generate or edit images depending on the selected model.
- [Generate Video](https://docs.eigenai.com/products/model-api/api-reference/generate-video.md): Submit an image-to-video generation job and retrieve the result asynchronously.
- [Stream Audio (WebSocket)](https://docs.eigenai.com/products/model-api/api-reference/stream-audio.md): Stream real-time audio generation over a WebSocket connection.
- [Upload Voice Reference](https://docs.eigenai.com/products/model-api/api-reference/upload-voice.md): Upload a voice reference audio file to get a voice_id for use in TTS requests.

## OpenAPI Specs

- [openapi](https://docs.eigenai.com/api-reference/openapi.json)