# Component Grounded Generator

> Generate an answer grounded in selected documents by calling the frozen Executor Model through the runtime context. Use as the final generator in Agentic RAG workflows.

- Skill: `docailab/component-grounded-generator` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add docailab/component-grounded-generator`
- Raw SKILL.md: https://api.skillmd.com/api/skills/docailab/component-grounded-generator/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Web & Frontend
- Author: DocAILab (https://skillmd.com/u/docailab)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/docailab/component-grounded-generator

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# Grounded Generator Component

Provide the `generator` capability for an Agentic RAG slot.

## Interface

Input `GenerationRequest`:

- `query`: non-empty original question
- `documents`: selected evidence documents. Each document must contain non-empty
  `id` and `text`; an empty sequence is allowed and is rendered as
  `[No evidence supplied]`.
- optional `max_tokens`: forwarded to the frozen Executor Model

Output `GenerationResult`:

- `answer`: non-empty generated grounded answer. Leading and trailing whitespace
  from the model response is stripped.

## Execution

Run `scripts/component.py:run(inputs, context)`. The runtime must provide the
frozen `context.call_model(...)`. The component formats the supplied evidence,
calls the model with `temperature=0.0`, and rejects malformed inputs or empty
model responses. Do not retrieve documents, rerank documents, or modify model
parameters.