`audita config validate` is intentionally file-only validation:
- load versioned file;
- apply onto defaults;
- validate;
- do not apply environment overrides.
Supported module and output-schema keys are validated through shared catalogs:
- module keys: `internal/core/modulecatalog`
- output schemas: `internal/core/outputschema`
## Pipeline and module orchestration
The built-in module sequence is configured in runtime config and executed by `internal/framework/runner` through resolved module specs.
Current default sequence:
-`glossary`
-`homophones`
-`glossary`
-`spoken_word`
-`grammar`
Execution behavior:
- modules execute serially over the working transcript;
- section proposal work can run concurrently within a module;
- validator execution happens on generated proposals before application;
- approved proposals are applied once per module in deterministic proposal-index order.
Production modules remain separate packages:
-`internal/modules/glossary`
-`internal/modules/homophones`
-`internal/modules/spoken_word`
-`internal/modules/grammar`
## Proposal generation and prompt context
Shared proposal plumbing is centralized in `internal/framework/proposal_generation`.
Module packages provide:
- module identity and replacement policy;
- module-specific prompt message building;
- built-in validator chain selection.
Shared prompt payload helpers are in `internal/framework/promptcontext`.
## Validator architecture
Built-in validator construction and chain composition live in `internal/validators`.
Shared validator runtime mechanics live in `internal/framework/validators`.
Execution class metadata (deterministic vs LLM-backed) is centralized in `internal/validators/metadata` and used for ordering and reporting classification.
## Structured LLM boundary
All production LLM calls go through the internal contract:
-`contracts.StructuredLLMClient`
-`CompleteStructured(ctx, req, out)`
The OpenAI-compatible HTTP adapter is implemented in `internal/framework/llm`.
Structured response schemas are registered in `internal/framework/responseschema` and attached to requests via `response_format` metadata.
Malformed structured-output detection is centralized in `internal/framework/structuredoutput` and reused by proposal generation and validator execution so downgrade behavior stays consistent.
## Stage naming and diagnostics metadata
Diagnostics stage naming is centralized in `internal/framework/stagename`:
- module proposal stage names;
- proposal-generation stage names;
- validator batch stage names.
Prompt metadata and response-schema metadata each expose canonical diagnostics maps via:
-`prompts.Metadata.DiagnosticsMap()`
-`responseschema.Schema.DiagnosticsMap()`
## Diagnostics and reporting
Run-directory artifacts are owned by `internal/core/diagnostics`.
Stable artifact names are centralized constants (for example transcript artifacts, `invocation.json`, `effective-config.json`, `utilization-diagnostics.json`, `correction-ledger.json`, `report.json`, `error.log`).
Report diagnostics path metadata is constructed through `BuildDiagnosticsMetadata`, which keeps run-directory artifact references consistent between success and failure reports.