Instructor Structured Output Map from Schema Inventory (No Invented Token Costs)

Prompt

Act as an Instructor Python schema designer who only uses a pasted schema inventory. You write a structured output map the inventory already supports. You do not invent token costs, model latency, API keys, or endpoint URLs. This is not a live LLM billing sync and not a production deploy.
You work only from Inputs. Do not invent stats, citations, quotes, URLs, names, IDs, or records that are not in Inputs.

Inputs:
- Schema inventory I lock (model stubs, field cues, validator notes): [Inventory]
- Instructor / pydantic version notes I lock: [Version]
- Project or workspace label I may quote (or UNKNOWN): [Workspace]
- Required model or field names I may quote (or UNKNOWN): [SpecNames]
- Model names already present (or UNKNOWN): [ModelNames]
- Field labels already present (or UNKNOWN): [FieldLabels]
- Validator names already present (or UNKNOWN): [ValidatorNames]
- Words I must not use: [Banned]
- What I must never invent (token costs, model latency, API keys, endpoint URLs): [Never]
- Output format: [Format]
- Language: [Lang]

Generate:
1. Honesty ledger: Inventory nouns, Version, Workspace, SpecNames, ModelNames, FieldLabels, ValidatorNames, Lang. Forbidden: invented token costs, model latency, API keys, endpoint URLs. Banner: not a live LLM billing sync; not a production deploy.
2. Structured output map table: one row per Inventory model stub or field cue. Missing validator notes write NOT IN INPUTS. Use Instructor response_model, Pydantic BaseModel, Field, and validators language when Inventory supports it. Quote ModelNames and FieldLabels only when present.
3. Spec name set: only names in SpecNames. Unnamed models stay NOT IN INPUTS. Never print token-cost or latency VALUES not in Inventory.
4. Version lock: print Version. Refuse Instructor features newer than Version if Version is named.
5. Refuse list: inventing token costs, inventing model latency, inventing API keys, inventing endpoint URLs.
6. Compliance pass: quote Banned and Never hits. Cut them. Format as Format.

Constraints:
- Map from Inventory only. No invented token-cost VALUES. Teach Instructor structured output mapping, not a generic LangChain or Outlines swap.
- Honor Version. No emojis.

Instructions

Replace every [bracket] with your details before running. Works on ChatGPT, Claude, and Gemini.

Generated Output

This image was generated using the prompt above.

Instructor Structured Output Map from Schema Inventory (No Invented Token Costs) - Result

Examples

Example Input

Inventory: model Harbor Quay Cleat Ticket as pasted field cue severity enum as pasted validator note check_severity as pasted; model River Ops Gate Reply as pasted field cue body text as pasted. Token cost NOT IN INPUTS. Latency invent NONE.
Version: Instructor 1.5 pydantic 2.8 as pasted (do not invent unreleased AI schema APIs)
Workspace: Harbor Quay Instructor App as pasted
SpecNames: Cleat Ticket as pasted; Gate Reply as pasted. Session UNKNOWN.
ModelNames: Cleat Ticket as pasted; Gate Reply as pasted. User UNKNOWN.
FieldLabels: severity enum as pasted; body text as pasted. priority int UNKNOWN.
ValidatorNames: check_severity as pasted. check_body UNKNOWN.
Banned: guaranteed tokens, cost invent, latency invent, key invent
Never: invent token costs, invent model latency, invent API keys, invent endpoint URLs
Format: ledger + table + specs + version + refuse + compliance
Lang: English

Example Output

1. Ledger. Inventory: model Harbor Quay Cleat Ticket field cue severity enum validator note check_severity; model River Ops Gate Reply field cue body text. Token cost NOT IN INPUTS. Latency invent NONE. Version Instructor 1.5 pydantic 2.8. Workspace Harbor Quay Instructor App. SpecNames Cleat Ticket; Gate Reply; Session UNKNOWN. ModelNames Cleat Ticket; Gate Reply; User UNKNOWN. FieldLabels severity enum; body text; priority int UNKNOWN. ValidatorNames check_severity; check_body UNKNOWN. Lang English. Banner: not a live LLM billing sync; not a production deploy. Forbidden: invented token costs, model latency, API keys, endpoint URLs, guaranteed tokens, cost invent, latency invent, key invent.

2. Structured output map.
1. Harbor Quay Cleat Ticket | model Cleat Ticket as pasted (ModelNames) | field severity enum as pasted (FieldLabels) | validator check_severity as pasted (ValidatorNames) | token cost NOT IN INPUTS | latency NONE | Instructor structured output map only.
2. River Ops Gate Reply | model Gate Reply as pasted (ModelNames) | field body text as pasted (FieldLabels) | validator note beyond check_severity NOT IN INPUTS | token cost NOT IN INPUTS | latency NONE.
priority int not printed beyond FieldLabels. check_body not invented beyond ValidatorNames.

3. Spec name set. Cleat Ticket; Gate Reply as SpecNames. Session UNKNOWN so write Session NOT IN INPUTS. No token-cost VALUES beyond Inventory. No third model invented.

4. Version lock. Instructor 1.5 pydantic 2.8 as pasted. Unreleased AI schema APIs not used. Provider flags NOT IN INPUTS.

5. Refuse. Cost invent: refused. Latency invent: refused. Key invent: refused. Endpoint invent: refused. Guaranteed tokens: refused.

6. Compliance. Banned hits none. Format ledger+table+specs+version+refuse+compliance. Gaps: Session decision, User ModelNames, priority FieldLabels, check_body ValidatorNames, provider path if any.

Missing-data policy: if a field was blank, write NOT IN INPUTS rather than guessing. Lock any tool version named in Inputs; if unnamed, write unknown. No invented testimonials, star ratings, or press logos. If legal, clinical, insurance, HR, education-plan, or veterinary content appears, add a one-line not-advice and de-identify banner. Quote banned-word hits and cut them. End with a gaps list of five bullets the user still owes you. Character and byte caps in the job are hard; print counts when relevant. Refuse to backfill DOIs, exam dumps, PHI, PII, or compensation promises not in Inputs.