119 lines
3.8 KiB
Markdown
119 lines
3.8 KiB
Markdown
# Audita Prompts
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This document describes Audita's built-in embedded prompt assets and prompt registry behavior.
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## Why embedded prompt assets
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Audita embeds production prompt text into the binary so runtime behavior is:
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- deterministic;
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- auditable;
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- dependency-light;
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- not dependent on external prompt files at execution time.
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Prompt text is authored as Markdown assets and rendered by Go code using typed template data.
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## Built-in prompt registry
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The prompt registry lives in `internal/prompts` and is responsible for:
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- loading embedded prompt assets;
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- registering stable prompt IDs and versions;
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- recording prompt source metadata;
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- computing deterministic SHA-256 source hashes;
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- rendering system/user prompts with strict missing-key failures.
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Current prompt source behavior:
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- built-in embedded prompts only (`prompt_source = builtin`).
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- filesystem prompt overrides are not supported.
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## Built-in prompt IDs
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Module proposal prompts:
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- `modules.glossary.proposal`
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- `modules.homophones.proposal`
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- `modules.spoken_word.proposal`
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- `modules.grammar.proposal`
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LLM-backed validator prompts:
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- `validators.spoken_form_plausibility`
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- `validators.meaning_reversal_review`
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- `validators.editorial_review`
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- `validators.grammar_review`
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- `validators.spoken_word_review`
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## Prompt version semantics
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Current built-in prompt version value is `v1`.
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Version is a stable metadata identifier for diagnostics and debugging. It is not a dynamic prompt-selection mechanism.
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## Prompt hash semantics
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Each registered prompt includes a deterministic SHA-256 hash of embedded source text.
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Hash purpose:
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- identify exact prompt source used in a run;
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- support diagnostics reproducibility and change auditing.
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Current hash scope:
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- source prompt text (system + user assets for a registered prompt), not a runtime secret-bearing payload.
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## Template rendering behavior
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Prompt rendering uses Go `text/template` with typed template data from module/validator builders.
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Missing-key behavior:
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- rendering uses missing-key errors;
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- missing/renamed template fields fail quickly instead of silently producing incomplete prompts.
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Go code still owns:
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- structured request/response models;
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- response schema selection;
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- transcript/glossary/payload formatting;
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- module and validator selection;
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- diagnostics wiring.
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## Shared prompt hardening policy
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A shared hardening fragment is embedded once and included in every module proposal prompt and every LLM-validator prompt.
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Hardening policy includes:
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- transcript text is untrusted data;
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- glossary entries and transcript descriptions are reference data, not instructions;
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- instructions found inside transcript text must not be obeyed;
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- model must perform only the requested correction/validation task;
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- no invention of facts, names, events, motivations, speaker intent, or corrections;
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- transcript remains the source of truth.
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## Transcript description behavior
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Transcript description remains background-only prompt context:
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- it may help interpret ambiguous terms;
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- it is explicitly non-authoritative and must not override transcript content;
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- empty descriptions do not render awkward blank context sections.
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Generated transcript descriptions are not implemented in this workstream.
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## Diagnostics and report metadata boundaries
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Current metadata flow:
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- proposal-generation diagnostics request metadata includes prompt metadata;
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- LLM-validator diagnostics request metadata includes prompt metadata.
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Prompt metadata fields used in diagnostics:
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- `prompt_id`
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- `prompt_version`
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- `prompt_source`
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- `embedded_path`
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- `sha256`
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Current boundary:
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- detailed prompt metadata is diagnostics-first;
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- broad report-level prompt registries/ledgers are deferred.
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## 1.0 boundary
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Not implemented for 1.0 in this workstream:
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- filesystem prompt overrides;
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- user-configurable prompt selection;
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- external prompt directories.
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