> ## Documentation Index
> Fetch the complete documentation index at: https://smithers-feat-claude-workflow-mirror.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# <ExtractPrompt>

> Resolve a workflow's prompt from a provided string, a cached entry, or an interactive Socratic extraction loop.

<Note>
  `<ExtractPrompt>` is **not** an importable runtime export of `smithers-orchestrator`.
  It ships as an example/pack composition pattern, a component you scaffold into your own
  `.smithers/components/extract-prompt/` (via `init`) and import relative to your workflow,
  as shown below. Copy and adapt it; it is not available from the published package.
</Note>

```ts theme={null}
import { ExtractPrompt } from "../components/extract-prompt";

type ExtractPromptProps = {
  idPrefix: string;
  prompt?: string;            // if non-trivial, used directly (passthrough)
  cached?: CachedPrompt;      // if present, used directly (cache hit)
  output: OutputTarget;       // where the draft lands (use rctfPromptSchema)
  agent: AgentLike | AgentLike[];
  schema?: "rctf" | "prd" | "freeform";  // default "rctf"
  stakes?: "high" | "low";    // resolves the threshold; default "low"
  threshold?: number;         // overrides stakes
  maxTurns?: number;          // default 10
  currentScore?: number | null;          // caller passes ctx.latest(output)?.score
  latestDraft?: RctfPromptOutput | null; // caller passes ctx.latest(output)
  context?: string;
  scorers?: ScorersMap;       // optional async observability scorers
  passthroughId?: string;
};
```

```tsx theme={null}
import {
  ExtractPrompt,
  MarkdownPromptCache,
  rctfPromptSchema,
} from "../components/extract-prompt";

const cache = new MarkdownPromptCache();

const { Workflow, smithers, outputs } = createSmithers({
  input: z.object({
    prompt: z.string().nullable().default(null),
    cacheKey: z.string().nullable().default(null),
    stakes: z.enum(["high", "low"]).default("low"),
  }),
  draft: rctfPromptSchema,
});

export default smithers((ctx) => {
  const cached = ctx.input.cacheKey ? cache.getSync(ctx.input.cacheKey) : undefined;
  const latest = ctx.latest("draft", "my-flow:extract:draft") as RctfPromptOutput | null;

  if (latest?.resolved && ctx.input.cacheKey) {
    cache.setSync(ctx.input.cacheKey, /* ... build CachedPrompt from latest ... */);
  }

  return (
    <Workflow name="my-flow">
      <ExtractPrompt
        idPrefix="my-flow"
        prompt={ctx.input.prompt ?? undefined}
        cached={cached}
        output={outputs.draft}
        agent={agents.smart}
        stakes={ctx.input.stakes}
        currentScore={latest?.score ?? null}
        latestDraft={latest}
      />
    </Workflow>
  );
});
```

## Three modes

1. **Passthrough**: `prompt` is provided and ≥ 32 chars. Emits a static-output
   task with `score: 1.0` and `resolved: true`. No agent invoked.
2. **Cache hit**: caller resolved a `cached` entry by key. Same passthrough behavior:
   emits `resolved: true`, carries over the cached `score`, and prefixes `scoreReason`
   with `cached: `.
3. **Extraction**: wraps `<LoopUntilScored>` around the drafter task. The drafter
   uses the R-C-T-F backbone, picks one Socratic principle per turn, asks the user
   via `bun .smithers/scripts/ask-user.ts`, self-scores, and sets `resolved: true`
   when ready.

## Cache I/O is the caller's responsibility

The component is pure, with no side effects in JSX. Caller does cache `getSync` /
`setSync` from inside the smithers `(ctx) =>` function. See the example above.

Drivers shipped:

* `MarkdownPromptCache` (default): `.smithers/cache/prompts/{slug}.md` with YAML frontmatter
* `SqlitePromptCache`: opt-in single-table store via `bun:sqlite`
* `MemoryPromptCache`: for tests

## Stakes

* `high` → threshold 1.0 (every R-C-T-F slot must be strongly filled)
* `low`  → threshold 0.7

Override via the `threshold` prop. Stakes is for callers who don't want to
remember exact numbers.

## Override semantics

The human always has the final word. If the agent's score is below threshold
and the human types "ship it" via the ask-user CLI, the agent sets:

* `resolved: true`
* `overridden: true`
* `overrideReason: "<verbatim>"`

The cache records `overridden: true` for audit; the verbatim `overrideReason` is
available only on the live output, not in the cache.