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# Audita # Audita
Audita is a transcript polishing CLI. Audita is a CLI that polishes transcript JSON using glossary-aware and LLM-backed correction modules.
`audita process` validates transcript/glossary input, normalizes and chunks transcript segments, runs the default correction pipeline, and emits corrected transcript output plus machine-readable diagnostics and reports. ## Quickstart
## What Audita Does Build:
Default module sequence:
- `glossary`
- `homophones`
- `glossary`
- `spoken_word`
- `grammar`
Pipeline behavior includes:
- glossary-backed domain/acoustic corrections
- conservative homophone and mistranscription corrections
- conservative spoken-word dysfluency cleanup with semantic guardrails
- grammar/punctuation/capitalization/formatting cleanup
- validator-chain enforcement before application
- malformed module-stage LLM payloads degrade to warnings/rejections instead of failing the run
- run reports and diagnostics artifacts with secret redaction
## Build and Install
Build a local binary:
```sh ```sh
go build -o ./bin/audita ./cmd/audita go build -o ./bin/audita ./cmd/audita
``` ```
Install into your Go bin directory: Run the shortest useful command:
```sh ```sh
go install ./cmd/audita audita process ./transcript.json --glossary ./glossary.yaml --output ./corrected.json
``` ```
CLI help: Notes:
- the transcript JSON path is required as a positional argument;
```sh - `--glossary` is required;
audita --help - without `--output`, corrected transcript JSON is written to stdout.
audita process --help
audita config --help
```
## Test
Run all tests:
```sh
go test ./...
```
## Basic Usage
Required inputs:
- transcript JSON path (positional argument)
- `--glossary <glossary.yaml>`
Recommended run:
```sh
audita process transcript.json \
--glossary glossary.yaml \
--output corrected.json \
--report-json report.json
```
Select an explicit output schema (default is `bare-segments`):
```sh
audita process transcript.json \
--glossary glossary.yaml \
--output-schema audita-v1 \
--output corrected.json \
--report-json report.json
```
Recommended config-based run:
```sh
audita process transcript.json \
--glossary glossary.yaml \
--config audita.yml \
--output corrected.json \
--report-json report.json
```
Explicit module override:
```sh
audita process transcript.json \
--glossary glossary.yaml \
--modules glossary,homophones,grammar \
--output corrected.json \
--report-json report.json
```
Optional transcript background context:
```sh
audita process transcript.json \
--glossary glossary.yaml \
--transcript-description "Brief context that may help resolve ambiguous terms." \
--output corrected.json
```
The transcript description is background context only and does not override transcript content.
Write transcript JSON to stdout (no `--output`):
```sh
audita process transcript.json --glossary glossary.yaml
```
Control diagnostics location/retention:
```sh
audita process transcript.json \
--glossary glossary.yaml \
--work-dir /tmp/audita \
--work-dir-retention auto \
--output corrected.json \
--report-json report.json
```
## Stdout/Stderr Contract
- With `--output`, stdout is expected to be empty on success.
- Without `--output`, stdout contains transcript JSON only on success.
- `--report-json` writes a file and is never printed to stdout.
- stderr is human-readable diagnostics/errors.
- successful runs remain quiet on stderr even when module warnings are recorded in report/diagnostics artifacts.
For subprocess orchestration guidance, see [`docs/subprocess-operations.md`](docs/subprocess-operations.md).
## Configuration ## Configuration
Precedence: Audita loads defaults, optional file config, environment overrides, then CLI overrides.
1. defaults
2. config file (`--config`, `AUDITA_CONFIG`, or default search paths when present: `/usr/local/etc/audita/config.yml`, then `/etc/audita/config.yml`)
3. environment (`AUDITA_*`)
4. CLI flags
Config commands: Use these commands to validate and inspect config:
```sh ```sh
audita config validate --config audita.yml audita config validate --config ./audita.yml
audita config print-effective --config audita.yml audita config print-effective --config ./audita.yml
``` ```
For full config-file schema and examples, see [`docs/configuration.md`](docs/configuration.md).
For output-schema details, see [`docs/architecture/output-schemas.md`](docs/architecture/output-schemas.md).
For built-in validator keys and chain definitions, see [`docs/architecture/validators.md`](docs/architecture/validators.md).
For embedded prompt assets and prompt metadata behavior, see [`docs/architecture/prompts.md`](docs/architecture/prompts.md).
For CLI/process compatibility guarantees, see [`docs/architecture/public-contract.md`](docs/architecture/public-contract.md).
### Modules
- `AUDITA_MODULES` (CSV)
- CLI: `--modules`
### Transcript Description
CLI:
- `--transcript-description`
Behavior:
- optional background context for proposal and LLM-validator prompts;
- trimmed and length-limited by CLI validation;
- does not override transcript content;
- no `AUDITA_*` environment variable is currently defined for this setting.
### Primary LLM
Environment:
- `AUDITA_LLM_API_KEY` (or `OPENROUTER_API_KEY` fallback)
- `AUDITA_MODEL`
- `AUDITA_BASE_URL`
- `AUDITA_LLM_TIMEOUT_SECONDS`
- `AUDITA_MAX_RETRIES`
CLI:
- `--llm-api-key`
- `--model`
- `--base-url`
- `--llm-timeout-seconds`
- `--max-retries`
### Validation LLM
Environment:
- `AUDITA_VALIDATION_LLM_API_KEY`
- `AUDITA_VALIDATION_MODEL`
- `AUDITA_VALIDATION_BASE_URL`
- `AUDITA_VALIDATION_LLM_TIMEOUT_SECONDS`
- `AUDITA_VALIDATION_MAX_RETRIES`
- `AUDITA_VALIDATION_LLM_CONCURRENCY`
- `AUDITA_VALIDATION_MAX_PROMPT_TOKENS`
CLI:
- `--validation-llm-api-key`
- `--validation-model`
- `--validation-base-url`
- `--validation-llm-timeout-seconds`
- `--validation-max-retries`
- `--validation-llm-concurrency`
- `--validation-max-prompt-tokens`
### LLM Concurrency
Environment:
- `AUDITA_TOTAL_LLM_CONCURRENCY`
- `AUDITA_PROPOSAL_LLM_CONCURRENCY`
- `AUDITA_VALIDATION_LLM_CONCURRENCY`
- `AUDITA_LLM_CONCURRENCY` (legacy alias for `AUDITA_TOTAL_LLM_CONCURRENCY`)
CLI:
- `--total-llm-concurrency`
- `--proposal-llm-concurrency`
- `--validation-llm-concurrency`
- `--llm-concurrency` (legacy alias for `--total-llm-concurrency`)
Behavior:
- all proposal and validation LLM calls are bounded by total LLM concurrency
- proposal LLM calls are additionally bounded by proposal LLM concurrency
- when validation concurrency is unset, it inherits total LLM concurrency
- when explicitly set, proposal and validation concurrency must each be `<= total-llm-concurrency`
- canonical total settings win when both canonical and legacy alias settings are provided at the same precedence layer
### Confidence Thresholds
Environment:
- `AUDITA_GLOSSARY_CONFIDENCE_THRESHOLD`
- `AUDITA_HOMOPHONES_CONFIDENCE_THRESHOLD`
- `AUDITA_SPOKEN_WORD_CONFIDENCE_THRESHOLD`
- `AUDITA_GRAMMAR_CONFIDENCE_THRESHOLD`
CLI:
- `--glossary-confidence-threshold`
- `--homophones-confidence-threshold`
- `--spoken-word-confidence-threshold`
- `--grammar-confidence-threshold`
### Normalization and Chunking
Environment:
- `AUDITA_NORMALIZE_MAX_SEGMENT_GAP`
- `AUDITA_NORMALIZE_ELLIPSIS_GAP`
- `AUDITA_NORMALIZE_MAX_SEGMENT_DURATION`
- `AUDITA_NORMALIZE_MAX_SEGMENT_TOKENS`
- `AUDITA_MAX_SECTION_TOKENS`
- `AUDITA_MIN_SECTION_TOKENS`
- `AUDITA_TARGET_SECTIONS`
CLI:
- `--normalize-max-segment-gap`
- `--normalize-ellipsis-gap`
- `--normalize-max-segment-duration`
- `--normalize-max-segment-tokens`
- `--max-section-tokens`
- `--min-section-tokens`
- `--target-sections`
### Work Directory
Environment:
- `AUDITA_WORK_DIR`
- `AUDITA_WORK_DIR_RETENTION` (`auto`, `always`, `never`)
CLI:
- `--work-dir`
- `--work-dir-retention`
Retention behavior:
- `always`: keep all run directories
- `never`: keep successful run directories
- `auto`: keep failed runs and successful runs with skipped/rejected corrections
## Reports and Diagnostics
Per-run diagnostics include:
- source transcript artifacts
- normalized transcript artifact
- normalization summary
- chunking summary
- utilization diagnostics summary
- correction ledger
- invocation metadata
- redacted effective config
- module/validator prompt-response diagnostics
- `report.json`
- `error.log` on failure
Optional external report output:
- `--report-json <path>`
## Documentation ## Documentation
- Architecture: [`docs/architecture.md`](docs/architecture.md) - CLI reference: [`docs/cli.md`](docs/cli.md)
- Diagnostics: [`docs/diagnostics.md`](docs/diagnostics.md) - Configuration reference: [`docs/config.md`](docs/config.md)
- Structured LLM adapter: [`docs/structured-llm.md`](docs/structured-llm.md) - Operations guide: [`docs/operations.md`](docs/operations.md)
- Subprocess operations: [`docs/subprocess-operations.md`](docs/subprocess-operations.md) - Troubleshooting: [`docs/troubleshooting.md`](docs/troubleshooting.md)
- Release checklist: [`docs/release-checklist.md`](docs/release-checklist.md) - Subprocess integration: [`docs/integrations/subprocess.md`](docs/integrations/subprocess.md)
- OpenAI-compatible LLM integration: [`docs/integrations/openai-compatible-llm.md`](docs/integrations/openai-compatible-llm.md)
- Transcript and glossary file integration: [`docs/integrations/transcript-glossary-files.md`](docs/integrations/transcript-glossary-files.md)
- Development workflow: [`docs/policy/development.md`](docs/policy/development.md)
- Architecture policy: [`docs/policy/architecture.md`](docs/policy/architecture.md)
- Documentation policy: [`docs/policy/documentation.md`](docs/policy/documentation.md)

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# Audita Architecture Index
This file is the entrypoint for architecture documentation.
Core architecture overview:
- [Architecture Overview](./architecture/architecture.md)
Focused architecture contracts:
- [Public Contract](./architecture/public-contract.md)
- [Diagnostics](./architecture/diagnostics.md)
- [Structured LLM](./architecture/structured-llm.md)
- [Validators](./architecture/validators.md)
- [Prompts](./architecture/prompts.md)
- [Output Schemas](./architecture/output-schemas.md)

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# Audita Architecture
## Scope
This document describes the production architecture implemented in this repository today.
Audita is a single-process Go CLI that:
- loads effective runtime configuration;
- reads transcript and glossary inputs;
- normalizes and sections transcripts;
- runs a built-in module pipeline with validator chains;
- writes transcript output and run diagnostics.
## Runtime entrypoints
Primary CLI commands:
- `audita process <transcript.json> --glossary <glossary.yaml> [flags]`
- `audita config validate --config <config.yml>`
- `audita config print-effective [--config <config.yml>]`
Command ownership lives in `internal/cli/run.go`.
## Configuration model
`internal/core/config` owns defaults, file parsing, environment overrides, CLI overrides, and validation.
Effective-config loading for `process` and `config print-effective` is centralized in:
- `ResolveConfigPath`
- `LoadEffectiveConfig`
Effective precedence for `audita process`:
1. defaults
2. config file
3. environment overrides
4. CLI overrides
`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.
## Secret redaction
Redaction responsibilities are split by concern:
- structural config redaction: `config.Config.Redacted()`
- byte/string payload redaction for diagnostics and surfaced errors: framework redaction utilities.
Configured LLM secret extraction is centralized in `llm.ConfiguredSecrets(cfg)` and reused across proposal and validator diagnostics paths.
## Output contracts
Transcript output schema selection is owned by `internal/core/outputschema`.
Supported schemas:
- `bare-segments`
- `audita-v1`
Unknown schema keys fail validation and runtime resolution.
## Key package map
Core packages:
- `internal/core/config`
- `internal/core/schema`
- `internal/core/normalization`
- `internal/core/chunking`
- `internal/core/diagnostics`
- `internal/core/reporting`
- `internal/core/modulecatalog`
- `internal/core/outputschema`
Framework packages:
- `internal/framework/contracts`
- `internal/framework/proposals`
- `internal/framework/proposal_generation`
- `internal/framework/promptcontext`
- `internal/framework/runner`
- `internal/framework/validators`
- `internal/framework/llm`
- `internal/framework/responseschema`
- `internal/framework/stagename`
- `internal/framework/structuredoutput`
Domain packages:
- `internal/modules/*`
- `internal/validators/*`
- `internal/prompts`

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# Audita Diagnostics
This document describes the run-directory diagnostics artifacts produced by `audita process`.
## Purpose
Diagnostics provide machine-readable run context and execution artifacts for:
- failure debugging;
- validator/correction review;
- post-run performance analysis.
Diagnostics are written under the configured work directory (`--work-dir`) when run-directory initialization succeeds.
## Core artifacts
Typical artifacts in each run directory:
- `source-transcript.json`
- `source-transcript-parsed.json`
- `normalized-transcript.json`
- `normalization-summary.json`
- `chunking-summary.json`
- `invocation.json`
- `effective-config.json` (redacted)
- module/validator LLM interaction artifacts
- `report.json`
- `error.log` on failure
## Utilization diagnostics artifact
Artifact:
- `utilization-diagnostics.json`
High-level fields:
- `effective_concurrency`:
- total/proposal/validation LLM concurrency limits in effect.
- `run_timing`:
- run wall time;
- scheduler queue wait time;
- LLM execution time;
- deterministic validator time;
- max/average in-flight LLM calls.
- `llm_calls`:
- total proposal and validation LLM call counts.
- `modules`:
- module-level timing summaries.
- `validators`:
- per-validator timing summaries keyed by stable validator key.
## Correction ledger artifact
Artifact:
- `correction-ledger.json`
Ledger records are flattened review entries derived from module results and include:
- module/proposal identity (`module_key`, `module_instance`, `proposal_index`, `segment_id`);
- correction text fields and replacement policy when available;
- disposition:
- `applied`
- `rejected`
- `skipped`
- `failed`
- stable reason codes/messages;
- deterministic and LLM validator decision snapshots using stable validator keys.
Validator rejection and proposal-application skip are distinct dispositions.
Module warnings are reported in module results and diagnostics metadata, but do not create standalone correction-ledger rows.
## Report references
`report.json` and optional `--report-json` output include diagnostics metadata paths for:
- utilization diagnostics artifact;
- correction ledger artifact;
- existing transcript/normalization/chunking/invocation/effective-config artifacts.
Module report entries also include warning records for malformed proposal-generation payloads and malformed validator batches.
## Retention behavior
Run-directory retention follows configured policy:
- `always`: keep all run directories;
- `never`: keep successful run directories;
- `auto`: keep failed runs and successful runs with skipped/rejected corrections.
## Redaction guarantees
API keys and other configured secrets are redacted from:
- `effective-config.json`;
- LLM interaction diagnostics artifacts;
- reports and surfaced errors.
## Debugging guide
When debugging:
- slow runs:
- inspect `utilization-diagnostics.json` (`run_timing`, `modules`, `validators`, in-flight metrics).
- validator rejections:
- inspect `correction-ledger.json` rejected entries and matching validator decisions;
- inspect validator response diagnostics payloads.
- module warnings:
- inspect module `warnings` entries in `report.json` or `--report-json`;
- follow any diagnostic artifact path on the warning to the recorded error/response payload.
- application skips:
- inspect `correction-ledger.json` skipped entries and skip reason codes;
- compare with validator decisions to distinguish validation rejection vs apply-time skip.

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# Audita Output Schemas
This document describes the built-in transcript output schema registry used by `audita process`.
## Supported schema names
### `bare-segments`
Status:
- implemented
- default output schema
Shape:
- top-level JSON array of transcript segments
Segment fields:
- `id`
- `speaker`
- `start`
- `end`
- `text`
- optional `categories`
Compatibility:
- this preserves the long-standing output shape used by existing consumers.
### `audita-v1`
Status:
- implemented
Shape:
- top-level JSON object:
- `schema`: `"audita-v1"`
- `version`: `"v1"`
- `segments`: transcript segment array
Segment fields inside `segments` match `bare-segments` segment fields.
Compatibility:
- this is the Audita-native object format with explicit schema/version metadata.
### `seriatim-intermediate`
Status:
- deferred / not implemented
Current behavior:
- selecting `seriatim-intermediate` fails clearly as an unsupported output schema.
Reason:
- a concrete, repository-backed contract for this schema has not been finalized yet.
## Selection
Choose output schema with CLI:
```sh
audita process <transcript.json> --glossary <glossary.yaml> --output-schema audita-v1
```
Or in file config:
```yaml
version: 1
output:
schema: audita-v1
```
Precedence remains:
1. defaults
2. file config
3. environment overrides
4. CLI overrides
`--output-schema` overrides `output.schema` when both are supplied.
## Output routing behavior
- With `--output`, transcript JSON is written to file using the selected schema and stdout stays empty on success.
- Without `--output`, stdout contains transcript JSON only, using the selected schema.
- `--report-json` writes report JSON to file and does not write report payloads to stdout.
## Backward-compatibility expectations
- default schema stays `bare-segments` for compatibility unless explicitly changed in a future breaking release;
- supported schema names are treated as stable public contract values;
- unsupported schema names fail before output write.

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

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# Audita Public Contract
## Scope
This document defines stability expectations for Audita's external runtime interfaces.
Covered interfaces:
- CLI commands and major flags;
- versioned config behavior and precedence;
- transcript/glossary input forms;
- output schema selection;
- report schema metadata;
- diagnostics artifact path metadata;
- stdout/stderr and exit-code behavior;
- redaction guarantees.
## CLI contract
Stable commands:
- `audita process`
- `audita config validate`
- `audita config print-effective`
Stable high-value `process` flags:
- `--config`
- `--glossary`
- `--output`
- `--report-json`
- `--modules`
- `--output-schema`
## Config contract
Supported config format:
- YAML;
- `version: 1`;
- strict unknown-field rejection.
Path resolution for `process` and `config print-effective`:
1. `--config`
2. `AUDITA_CONFIG`
3. `/usr/local/etc/audita/config.yml`
4. `/etc/audita/config.yml`
Missing explicit path is an error. Missing default paths is non-fatal.
Precedence for `process`:
1. defaults
2. file config
3. environment overrides
4. CLI overrides
`config validate` remains file-only validation (defaults + file config; no env overrides).
Module and output-schema keys are validated against built-in catalogs. Unknown keys fail validation.
## Input contract
Supported transcript JSON top-level forms:
- array of segments
- object with `segments` array
Supported glossary YAML form:
- top-level `glossary` list with required entry fields validated by schema parsing.
## Output schema contract
Supported transcript output schemas:
- `bare-segments` (default)
- `audita-v1`
Unknown schema keys fail before output write.
## Report metadata contract
Process reports include stable report metadata fields:
- `report_schema_name`
- `report_schema_version`
- `output_schema`
- `config_version` (when file config is loaded)
Current values:
- `report_schema_name = audita-process-report`
- `report_schema_version = v1`
`--report-json` output and run-directory `report.json` use the same report schema metadata.
Validator decision/rejection records use stable validator keys via `validator_name`.
## Diagnostics metadata contract
When run-directory initialization succeeds, diagnostics metadata paths reference stable artifacts, including:
- transcript and normalization artifacts;
- chunking summary;
- invocation metadata;
- redacted effective config;
- utilization diagnostics;
- correction ledger;
- `error.log` on failures.
LLM interaction diagnostics include stable prompt and structured-schema identifiers where applicable.
## Stdout/stderr and exit codes
Success:
- with `--output`, stdout is empty;
- without `--output`, stdout contains transcript JSON only;
- report JSON is not written to stdout.
Failures:
- nonzero exit;
- human-readable stderr summary;
- diagnostics directory path on stderr when available.
Exit codes:
- `0` success
- nonzero failure
## Redaction contract
Configured secrets are redacted from:
- effective config outputs;
- diagnostics artifacts;
- report artifacts;
- surfaced adapter/runtime errors.
## Compatibility policy
Stable command behavior, schema names, report metadata keys, diagnostics-path field semantics, and validator key identities are treated as public contract.
Additive fields are acceptable when existing fields and behavior remain compatible.

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# Structured LLM Architecture
## Scope
This document describes Audita's structured LLM runtime boundary and adapter behavior.
## Runtime boundary
Production LLM integration depends on the internal contract only:
- `contracts.StructuredLLMClient`
- `CompleteStructured(ctx, req, out)`
Provider SDK types do not leak past this boundary.
## Adapter ownership
`internal/framework/llm` owns the OpenAI-compatible HTTP adapter and shared LLM runtime utilities.
Key responsibilities:
- request assembly;
- timeout/cancellation propagation;
- bounded retry behavior;
- scheduler integration;
- provider response decoding;
- error redaction.
## Structured schema registry
Structured response schemas are registered in `internal/framework/responseschema` and include stable metadata:
- `id`
- `version`
- `name`
- `json_schema`
- `sha256`
Current schema keys:
- `correction_set`
- `validator_decision_set`
Schema metadata is attached to diagnostics through `Schema.DiagnosticsMap()`.
## Request shape assumptions
Audita targets OpenAI-compatible chat-completions endpoints and sends structured requests with:
- model;
- chat messages;
- `response_format.type = json_schema`;
- schema name and JSON schema payload.
## Local validation remains mandatory
Provider schema enforcement is treated as transport-level guardrails.
Audita still validates output locally before applying behavior changes:
- proposal decoding and proposal invariants;
- validator decision decoding and cardinality checks;
- deterministic validation and apply-time rules.
## Shared malformed-output policy
Malformed structured-output classification is centralized in `internal/framework/structuredoutput`.
Proposal generation and validator execution both use this shared classifier so downgrade behavior cannot drift between the two paths.
## Secrets and redaction
Secret extraction for LLM redaction is centralized in `llm.ConfiguredSecrets(cfg)` and reused by proposal and validator diagnostics writers.
Secrets are redacted from:
- diagnostics artifacts;
- report artifacts;
- surfaced adapter/runtime errors.
## Concurrency and scheduling
LLM execution is constrained by composed scheduler limits:
- total LLM concurrency;
- proposal LLM concurrency;
- validation LLM concurrency.
The scheduler is FIFO and context-aware so permits are released on success, failure, and cancellation.

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# Audita Validators
## Scope
This document defines the built-in validator system used by production module runs.
## Ownership boundaries
Built-in validator keys, constructors, and module chains are owned by `internal/validators`.
Shared runtime execution mechanics are owned by `internal/framework/validators`, including:
- validator request/result models;
- deterministic proposal checks;
- LLM validator batching and execution;
- decision-cardinality enforcement;
- diagnostics integration.
Execution class metadata is owned by `internal/validators/metadata`.
## Stable validator keys
Deterministic:
- `proposal_shape`
- `confidence_threshold`
- `original_text_presence`
- `non_empty_corrected_text`
- `no_effect`
- `protected_terms`
LLM-backed:
- `spoken_form_plausibility`
- `meaning_reversal_review`
- `editorial_review`
## Built-in module chains
`glossary`:
- `proposal_shape`
- `no_effect`
- `original_text_presence`
- `confidence_threshold`
- `protected_terms`
- `non_empty_corrected_text`
- `spoken_form_plausibility`
- `meaning_reversal_review`
`homophones`:
- `proposal_shape`
- `no_effect`
- `original_text_presence`
- `confidence_threshold`
- `protected_terms`
- `non_empty_corrected_text`
- `spoken_form_plausibility`
- `meaning_reversal_review`
`spoken_word`:
- `proposal_shape`
- `no_effect`
- `original_text_presence`
- `confidence_threshold`
- `protected_terms`
- `non_empty_corrected_text`
- `editorial_review`
- `meaning_reversal_review`
`grammar`:
- `proposal_shape`
- `no_effect`
- `original_text_presence`
- `confidence_threshold`
- `protected_terms`
- `non_empty_corrected_text`
- `editorial_review`
- `meaning_reversal_review`
## Ordering and execution semantics
Validator ordering is based on canonical metadata:
- deterministic validators run before LLM-backed validators.
Within each module stage:
- proposals are generated per section;
- validator chains execute on those proposals;
- approved proposals are applied once after section work settles.
## Malformed payload behavior
Malformed structured-output from proposal generation and LLM validator calls is downgraded, not treated as a process-fatal transport error.
Current outcomes:
- malformed proposal-generation payloads produce section/module warnings and zero proposals for the affected section;
- malformed validator decision payloads reject the affected validator batch with warnings;
- deterministic validator behavior and runner order remain unchanged.
## Reporting identity
Reports and diagnostics use stable validator keys as identifiers.
Correction-ledger deterministic-vs-LLM classification is derived from canonical validator metadata, not package-local hardcoded maps.
## Prompt assets
LLM validator prompt assets and prompt metadata are documented in [Prompts](./prompts.md).

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# Audita CLI Reference
## Shortest Useful Command
```sh
audita process <transcript.json> --glossary <glossary.yaml> --output <corrected.json>
```
This command validates input files, runs the configured correction pipeline, and writes corrected transcript JSON.
## Command Overview
- `audita process`: process one transcript JSON file.
- `audita config validate`: validate a versioned YAML config file.
- `audita config print-effective`: print redacted effective config JSON.
General help:
```sh
audita --help
audita process --help
audita config --help
```
## `process`
Usage:
```sh
audita process <transcript.json> [flags]
```
Input requirements:
- exactly one transcript JSON positional argument is required;
- `--glossary <path>` is required.
Config path selection for `process`:
1. `--config <path>`
2. `AUDITA_CONFIG`
3. `/usr/local/etc/audita/config.yml` (if present)
4. `/etc/audita/config.yml` (if present)
For precedence and full config schema, see [`docs/config.md`](config.md).
### `process` Flag Reference
Core I/O flags:
- `--config <path>`: path to versioned YAML config file.
- `--glossary <path>`: glossary YAML input path (required).
- `--output <path>`: corrected transcript JSON output file path.
- `--report-json <path>`: machine-readable report JSON output path.
- `--output-schema <key>`: output schema key (`bare-segments` or `audita-v1`).
- `--modules <csv>`: comma-separated module sequence override.
Primary LLM flags:
- `--llm-api-key <value>`: primary LLM API key.
- `--model <name>`: primary LLM model name.
- `--base-url <url>`: primary OpenAI-compatible base URL.
- `--llm-timeout-seconds <int>`: primary timeout in seconds.
- `--max-retries <int>`: primary structured-output retries.
Validation LLM flags:
- `--validation-llm-api-key <value>`: validation LLM API key.
- `--validation-model <name>`: validation LLM model name.
- `--validation-base-url <url>`: validation OpenAI-compatible base URL.
- `--validation-llm-timeout-seconds <int>`: validation timeout in seconds.
- `--validation-max-retries <int>`: validation structured-output retries.
- `--validation-max-prompt-tokens <int>`: validation max prompt tokens.
Concurrency flags:
- `--total-llm-concurrency <int>`: total concurrent proposal+validation LLM calls.
- `--proposal-llm-concurrency <int>`: concurrent proposal-generation LLM calls.
- `--validation-llm-concurrency <int>`: concurrent validation LLM calls.
- `--llm-concurrency <int>`: alias for `--total-llm-concurrency`.
Chunking and normalization flags:
- `--target-sections <int>`: target number of transcript sections.
- `--max-section-tokens <int>`: maximum section tokens.
- `--min-section-tokens <int>`: minimum section tokens.
- `--normalize-max-segment-gap <float>`: maximum same-speaker merge gap.
- `--normalize-ellipsis-gap <float>`: gap threshold for ellipsis insertion.
- `--normalize-max-segment-duration <float>`: maximum merged segment duration.
- `--normalize-max-segment-tokens <int>`: maximum merged segment token estimate.
Threshold flags:
- `--glossary-confidence-threshold <float>`
- `--homophones-confidence-threshold <float>`
- `--spoken-word-confidence-threshold <float>`
- `--grammar-confidence-threshold <float>`
Context and diagnostics flags:
- `--transcript-description <text>`: background context for prompts; does not override transcript content.
- `--work-dir <path>`: per-run diagnostics work directory.
- `--work-dir-retention <auto|always|never>`: run-directory retention policy.
### `process` Output and Exit Behavior
- With `--output`: stdout is expected to be empty on success.
- Without `--output`: stdout contains transcript JSON only on success.
- `--report-json` writes a file and is never printed to stdout.
- Stderr is human-readable diagnostics/errors.
- On failures after diagnostics initialization, stderr includes the diagnostics directory path.
Exit behavior:
- `0`: success.
- `1`: runtime failure during processing/reporting/output paths.
- `2`: CLI usage or configuration input error.
Integration references:
- subprocess contract: [`docs/integrations/subprocess.md`](integrations/subprocess.md)
- transcript/glossary file contract: [`docs/integrations/transcript-glossary-files.md`](integrations/transcript-glossary-files.md)
### `process` Examples
Write corrected transcript to a file:
```sh
audita process transcript.json \
--glossary glossary.yaml \
--output corrected.json
```
Emit transcript JSON to stdout:
```sh
audita process transcript.json --glossary glossary.yaml
```
Use explicit config and write report JSON:
```sh
audita process transcript.json \
--glossary glossary.yaml \
--config audita.yml \
--output corrected.json \
--report-json report.json
```
Override the module sequence:
```sh
audita process transcript.json \
--glossary glossary.yaml \
--modules glossary,homophones,grammar \
--output corrected.json
```
## `config validate`
Usage:
```sh
audita config validate --config <path>
```
Behavior:
- validates defaults merged with file config;
- does not apply environment overrides;
- prints `config is valid` on success.
Errors:
- `--config` is required;
- positional arguments are rejected;
- validation failures are printed to stderr.
## `config print-effective`
Usage:
```sh
audita config print-effective [--config <path>]
```
Config path selection:
1. `--config <path>` when provided
2. `AUDITA_CONFIG`
3. `/usr/local/etc/audita/config.yml` (if present)
4. `/etc/audita/config.yml` (if present)
Behavior:
- merges defaults, optional config file, and environment overrides;
- prints redacted JSON to stdout.
Errors:
- positional arguments are rejected;
- resolution or parse failures are printed to stderr.

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# Audita Configuration
## Scope
This is the canonical configuration reference for Audita.
It documents:
- config path resolution;
- effective precedence across defaults, file config, environment, and CLI;
- supported `version: 1` YAML schema;
- environment overrides;
- CLI override relationship;
- validation and secrets behavior.
For CLI command syntax, see [`docs/cli.md`](cli.md).
For OpenAI-compatible endpoint behavior, see [`docs/integrations/openai-compatible-llm.md`](integrations/openai-compatible-llm.md).
For transcript/glossary input file contracts, see [`docs/integrations/transcript-glossary-files.md`](integrations/transcript-glossary-files.md).
## Loading Model
Path resolution for `audita process` and `audita config print-effective`:
1. `--config <path>`
2. `AUDITA_CONFIG`
3. `/usr/local/etc/audita/config.yml` (if present)
4. `/etc/audita/config.yml` (if present)
Missing explicit path behavior:
- missing `--config` target is an error;
- missing `AUDITA_CONFIG` target is an error.
Missing default-path files are non-fatal.
## Effective Precedence
`audita process`:
1. defaults
2. file config
3. environment overrides
4. CLI overrides
`audita config print-effective`:
1. defaults
2. file config
3. environment overrides
`audita config validate`:
1. defaults
2. file config
`config validate` is intentionally file-only (no environment overrides).
## Defaults
Current defaults:
- modules: `glossary,homophones,glossary,spoken_word,grammar`
- output schema: `bare-segments`
- primary model: `openrouter/google/gemma-4-31b-it`
- primary base URL: `https://openrouter.ai/api/v1`
- primary timeout: `600` seconds
- max retries: `3`
- total/proposal LLM concurrency: `1`
- validation max prompt tokens: `2048`
- max section tokens: `8192`
- min section tokens: `2048`
- confidence thresholds: `0.8`
- normalization max segment gap: `4.0`
- normalization ellipsis gap: `3.5`
- normalization max segment duration: `60.0`
- normalization max segment tokens: `2048`
- transcript description: empty
- work dir: `/tmp/audita`
- work dir retention: `auto`
## YAML Schema (`version: 1`)
Supported file version:
- `version: 1` (required)
Unknown YAML fields are rejected.
```yaml
version: 1
pipeline:
modules: [glossary, homophones, glossary, spoken_word, grammar]
output:
schema: bare-segments
llm:
proposal:
base_url: https://openrouter.ai/api/v1
model: openrouter/google/gemma-4-31b-it
api_key_env: AUDITA_LLM_API_KEY
timeout: 600s
max_retries: 3
validation:
base_url: https://openrouter.ai/api/v1
model: openrouter/google/gemma-4-31b-it
api_key_env: AUDITA_VALIDATION_LLM_API_KEY
timeout: 600
max_retries: 3
concurrency:
total_llm: 1
proposal_llm: 1
validation_llm: 1
chunking:
target_sections: 8
max_section_tokens: 8192
min_section_tokens: 2048
normalization:
max_segment_gap: 4s
ellipsis_gap: 3.5s
max_segment_duration: 60s
max_segment_tokens: 2048
thresholds:
glossary: 0.8
homophones: 0.8
spoken_word: 0.8
grammar: 0.8
context:
description: optional background context
diagnostics:
work_dir: /tmp/audita
retention: auto
```
Duration-parsing behavior:
- `llm.*.timeout`: integer seconds or duration string; duration strings must resolve to whole seconds.
- `normalization.*` duration-like fields: numeric seconds or duration string.
## Environment Overrides
Modules:
- `AUDITA_MODULES`
Config path:
- `AUDITA_CONFIG`
Primary LLM:
- `AUDITA_LLM_API_KEY` (falls back to `OPENROUTER_API_KEY` when unset)
- `AUDITA_MODEL`
- `AUDITA_BASE_URL`
- `AUDITA_LLM_TIMEOUT_SECONDS`
- `AUDITA_MAX_RETRIES`
Validation LLM:
- `AUDITA_VALIDATION_LLM_API_KEY`
- `AUDITA_VALIDATION_MODEL`
- `AUDITA_VALIDATION_BASE_URL`
- `AUDITA_VALIDATION_LLM_TIMEOUT_SECONDS`
- `AUDITA_VALIDATION_MAX_RETRIES`
- `AUDITA_VALIDATION_MAX_PROMPT_TOKENS`
Concurrency:
- `AUDITA_TOTAL_LLM_CONCURRENCY`
- `AUDITA_PROPOSAL_LLM_CONCURRENCY`
- `AUDITA_VALIDATION_LLM_CONCURRENCY`
- `AUDITA_LLM_CONCURRENCY` (legacy alias for total)
Chunking:
- `AUDITA_MAX_SECTION_TOKENS`
- `AUDITA_MIN_SECTION_TOKENS`
- `AUDITA_TARGET_SECTIONS`
Thresholds:
- `AUDITA_GLOSSARY_CONFIDENCE_THRESHOLD`
- `AUDITA_HOMOPHONES_CONFIDENCE_THRESHOLD`
- `AUDITA_SPOKEN_WORD_CONFIDENCE_THRESHOLD`
- `AUDITA_GRAMMAR_CONFIDENCE_THRESHOLD`
Normalization:
- `AUDITA_NORMALIZE_MAX_SEGMENT_GAP`
- `AUDITA_NORMALIZE_ELLIPSIS_GAP`
- `AUDITA_NORMALIZE_MAX_SEGMENT_DURATION`
- `AUDITA_NORMALIZE_MAX_SEGMENT_TOKENS`
Diagnostics:
- `AUDITA_WORK_DIR`
- `AUDITA_WORK_DIR_RETENTION` (`auto`, `always`, `never`)
Transcript description:
- no `AUDITA_*` environment variable is currently defined.
## CLI Override Relationship
CLI flags override file and environment values for `audita process`.
The CLI supports canonical total concurrency (`--total-llm-concurrency`) and legacy alias (`--llm-concurrency`):
- when both are provided at the same precedence layer, canonical total wins;
- if proposal concurrency is not explicitly set and total is set via environment or CLI, proposal concurrency inherits that total;
- validation concurrency inherits total only when validation concurrency is unset.
For full flag syntax, see [`docs/cli.md`](cli.md).
## Validation Rules
Validation includes:
- supported module keys only;
- supported output schema keys only (`bare-segments`, `audita-v1`);
- positive timeout/concurrency/token constraints;
- `proposal_llm <= total_llm` and `validation_llm <= total_llm` when validation is set;
- confidence thresholds in `[0.0, 1.0]`;
- transcript description length `<= 500` characters;
- non-empty work dir;
- work-dir retention in `auto|always|never`.
## Secrets
Recommended secret handling:
- use `llm.proposal.api_key_env` and `llm.validation.api_key_env` in file config;
- use `AUDITA_*_API_KEY` environment overrides or CLI key flags when needed.
`api_key_env` fields contain environment variable names, not secret values.
Redaction behavior:
- `audita config print-effective` redacts resolved API keys.
- diagnostics and report paths redact configured secret values.
## Examples
- Minimal config: [`examples/minimal-config.yml`](../examples/minimal-config.yml)
- Production-style config: [`examples/production-config.yml`](../examples/production-config.yml)
- Tiny transcript input: [`examples/tiny-transcript.json`](../examples/tiny-transcript.json)
- Tiny glossary input: [`examples/tiny-glossary.yaml`](../examples/tiny-glossary.yaml)
Validate the config examples:
```sh
audita config validate --config examples/minimal-config.yml
audita config validate --config examples/production-config.yml
```

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# Audita Configuration
## Scope
This document defines the supported versioned YAML configuration model and runtime precedence behavior.
## Supported file version
Current supported config file version:
- `version: 1`
Validation rules:
- missing `version` fails;
- unsupported version fails;
- unknown YAML fields fail (strict decoding).
## Config path resolution
For `audita process` and `audita config print-effective`, path resolution order is:
1. `--config <path>`
2. `AUDITA_CONFIG`
3. `/usr/local/etc/audita/config.yml` (if present)
4. `/etc/audita/config.yml` (if present)
Missing-path behavior:
- missing `--config` path is an error;
- missing `AUDITA_CONFIG` path is an error;
- missing both default paths is non-fatal.
## Effective precedence
`audita process` effective precedence:
1. defaults
2. file config
3. environment overrides
4. CLI overrides
`audita config print-effective` uses:
1. defaults
2. file config
3. environment overrides
`audita config validate` intentionally uses file-only validation:
1. defaults
2. file config
Environment overrides are not applied in `config validate`.
## Supported top-level YAML fields
```yaml
version: 1
pipeline:
modules: [glossary, homophones, glossary, spoken_word, grammar]
output:
schema: bare-segments
llm:
proposal:
base_url: https://openrouter.ai/api/v1
model: openrouter/google/gemma-4-31b-it
api_key_env: AUDITA_LLM_API_KEY
timeout: 120s
max_retries: 3
validation:
base_url: https://openrouter.ai/api/v1
model: openrouter/google/gemma-4-31b-it
api_key_env: AUDITA_VALIDATION_LLM_API_KEY
timeout: 120s
max_retries: 3
concurrency:
total_llm: 2
proposal_llm: 2
validation_llm: 1
chunking:
target_sections: 8
max_section_tokens: 8192
min_section_tokens: 2048
normalization:
max_segment_gap: 4s
ellipsis_gap: 3.5s
max_segment_duration: 60s
max_segment_tokens: 2048
thresholds:
glossary: 0.8
homophones: 0.8
spoken_word: 0.8
grammar: 0.8
context:
description: "optional transcript background context"
diagnostics:
work_dir: /tmp/audita
retention: auto
```
## Module and output-schema validation
`pipeline.modules` keys are validated against the built-in supported module catalog.
Supported module keys:
- `glossary`
- `homophones`
- `spoken_word`
- `grammar`
Repeated supported module keys are allowed.
`output.schema` is validated against the built-in output schema catalog.
Supported output schema keys:
- `bare-segments`
- `audita-v1`
Unknown module keys and unknown output schema keys fail validation.
## Duration field parsing
Duration-like fields support:
- numeric seconds (for example `120`, `3.5`)
- duration strings (for example `120s`, `2m`)
LLM timeout duration strings must resolve to whole seconds.
## Secret handling
Use `api_key_env` fields for secrets:
- `llm.proposal.api_key_env`
- `llm.validation.api_key_env`
These fields store environment variable names, not secret values.
Resolved secret values are redacted from:
- `audita config print-effective` output;
- diagnostics `effective-config.json`;
- report and diagnostics payloads.
## Commands
Validate a file config:
```sh
audita config validate --config ./audita.yml
```
Print redacted effective config:
```sh
audita config print-effective --config ./audita.yml
```
## Compatibility notes
Legacy compatibility flags and environment aliases remain available where implemented, but the stable configuration surface is the versioned YAML model described above.

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# Audita Development Workflow
## Scope
This document defines the canonical contributor workflow and engineering conventions for this repository.
## Workflow
1. Start from a clean understanding of scope and constraints.
2. Make focused changes that preserve existing public behavior unless behavior change is explicitly intended.
3. Run targeted tests for touched packages.
4. Run `go test ./...` before finalizing substantial changes.
5. Update affected documentation so it describes current behavior only.
## Engineering conventions
- Keep module packages separate: `glossary`, `homophones`, `spoken_word`, `grammar`.
- Prefer narrow shared helpers and catalogs over broad abstractions.
- Preserve diagnostics artifact naming and report field contracts unless intentionally changed.
- Preserve CLI/config precedence semantics unless intentionally changed.
- Treat stable validator keys, prompt identifiers, and output-schema keys as contract surfaces.
## Configuration and runtime expectations
- `audita process` precedence is defaults -> file -> env -> CLI.
- `audita config validate` validates file config merged onto defaults only.
- `audita config print-effective` includes environment overrides and prints redacted JSON.
## Testing expectations
- Add tests for new behavior and for bug fixes.
- Keep deterministic fixtures stable.
- Do not reduce existing parity, release-fixture, subprocess, or module-specific coverage without equivalent replacement.
## Commit discipline
- Keep commits scoped and reviewable.
- Avoid mixing unrelated refactors with behavior changes.
- Use clear plain-English commit messages.

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# Documentation Policy
## Scope
This policy defines how project documentation should be authored and maintained.
## Core rules
- Document the current behavior of the codebase.
- Remove stale behavior descriptions promptly when code changes.
- Do not describe development history in architecture or behavior docs unless a document is explicitly historical.
- Do not use architecture or behavior docs as changelogs.
- Prefer rewriting stale sections from scratch when substantial behavior or ownership changes occur.
## Consistency requirements
- Keep command examples aligned with current CLI surfaces.
- Keep configuration examples aligned with supported fields and precedence.
- Keep architecture package ownership descriptions aligned with current code layout.
- Keep stable contract identifiers accurate (module keys, validator keys, output-schema keys, report metadata fields).
## Cross-document expectations
- `docs/architecture/*` documents runtime behavior and package ownership.
- `docs/configuration.md` documents config schema and precedence.
- `docs/development.md` documents contributor workflow and engineering conventions.
## Review expectations for documentation changes
- Verify referenced files and links exist.
- Verify examples match current behavior.
- Prefer concise, direct language and avoid speculative future claims.

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# Audita Subprocess Operations
This document describes how parent processes should invoke `audita process` safely in production orchestration.
## Recommended command form
Use explicit file outputs for orchestrated runs:
```sh
audita process <transcript.json> \
--transcript-description "Brief context that may help resolve ambiguous terms." \
--glossary <glossary.yaml> \
--output <output-transcript.json> \
--report-json <report.json>
```
Additional flags that may be situationally appropriate:
- `--config <path>` to select an explicit versioned config file.
- `--output-schema <bare-segments|audita-v1>` to select transcript output shape.
- `--work-dir <dir>` to control diagnostics location.
- `--work-dir-retention <always|auto|never>` to control retained run directories.
- `--total-llm-concurrency`, `--proposal-llm-concurrency`, and `--validation-llm-concurrency` when orchestration needs to set explicit LLM throughput controls.
- `--modules ...` only when intentionally overriding the default sequence.
For config-driven orchestration, validate config files in CI/preflight:
```sh
audita config validate --config <path>
```
## Stdout behavior
- With `--output`: stdout is expected to be empty on success.
- Without `--output`: stdout contains transcript JSON only on success.
- Report JSON is never written to stdout.
## Stderr behavior
- Success path should be quiet or minimal human-readable logs.
- Failure path writes concise human-readable errors.
- When a diagnostics run directory exists, failure stderr includes its path.
- Prompt/response diagnostic payloads are not streamed to stderr.
## Output file behavior
- `--output` writes transcript JSON in the selected output schema to the provided path.
- Output write failures return nonzero and surface actionable errors.
- The command does not silently ignore output write errors.
## Report JSON behavior
- `--report-json` writes a machine-readable process report to the requested path.
- Run-directory `report.json` is written independently under diagnostics.
- Best-effort failure reports are emitted when possible without masking the primary failure.
- Report write failures return nonzero with clear stderr messaging.
- Report diagnostics metadata references run-directory artifacts including utilization diagnostics and correction ledger paths when available.
## Diagnostics directory behavior
- Each run creates (when possible) a per-run diagnostics directory.
- Typical artifacts include transcript, normalization, chunking, invocation, effective config, LLM diagnostics, `utilization-diagnostics.json`, `correction-ledger.json`, `report.json`, and `error.log` on failure.
- Failed runs retain diagnostics.
- Under `auto` retention, successful runs with skipped/rejected corrections are retained; clean successful runs may be removed.
## Exit codes
- `0`: success.
- Nonzero: failure (input/schema/config/module/LLM/runtime/output/report/diagnostics errors).
Treat any nonzero as a failed subprocess invocation.
## Timeout and cancellation
- Runtime operations propagate context cancellation and request timeouts through LLM/scheduler paths.
- On cancellation or timeout, the process exits nonzero and should not hang.
- If diagnostics were initialized before failure, failure artifacts remain available for debugging.
## Secret redaction expectations
API keys and configured secret values are redacted from:
- reports (`--report-json` and run-dir `report.json`);
- diagnostics artifacts (including effective config and LLM interaction artifacts);
- surfaced adapter/runtime errors;
- test fixtures and regression outputs.
Parent-process logs should still avoid printing raw environment variables.
## Parent-process pipe guidance
To avoid deadlocks in orchestrators:
- always read both stdout and stderr concurrently when invoking as a subprocess;
- prefer file outputs (`--output`, `--report-json`) for machine workflows;
- treat stderr as human-readable diagnostics, not structured data;
- parse structured results from output/report files.
For Go callers, prefer `exec.CommandContext` with explicit timeout/cancellation and buffered/streamed readers for both pipes.

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# OpenAI-Compatible LLM Integration
## Scope
This document defines the external LLM endpoint contract Audita currently uses.
It covers:
- endpoint and auth expectations;
- structured request and response shape;
- retry and timeout behavior;
- diagnostics and secret redaction.
For user-facing CLI flags and config keys, see [`docs/cli.md`](../cli.md) and [`docs/config.md`](../config.md).
## Endpoint Contract
Audita sends HTTPS `POST` requests to:
- `<base_url>/chat/completions`
`base_url` comes from primary or validation LLM config and is required.
## Authentication Contract
When an API key is configured, Audita sends:
- `Authorization: Bearer <api_key>`
When no API key is configured, the `Authorization` header is omitted.
## Request Shape
Audita sends a chat-completions payload with:
- `model`;
- `messages` (role/content pairs);
- `response_format` using JSON Schema strict mode.
Representative shape:
```json
{
"model": "example-model",
"messages": [
{"role": "system", "content": "..."},
{"role": "user", "content": "..."}
],
"response_format": {
"type": "json_schema",
"json_schema": {
"name": "correction_set",
"strict": true,
"schema": {"type": "object"}
}
}
}
```
Behavioral requirements enforced by Audita:
- `model` must resolve to a non-empty value;
- each message must have non-empty `role` and `content`;
- `response_format.type` is always `json_schema`;
- `response_format.json_schema.name` and `schema` must be present;
- request schema JSON must be valid JSON.
## Response Handling Contract
Audita expects a successful JSON response with at least one choice and assistant content that can be interpreted as JSON.
Supported assistant content forms:
- string containing JSON;
- raw JSON value.
Audita then decodes the JSON against the expected structured output type.
Current structured schema identities used by Audita runtime:
- `correction_set`
- `validator_decision_set`
## Retries and Timeouts
Retry behavior:
- default max retries is `3` when unset;
- retries apply to retryable transport/decode/server-side errors;
- HTTP `429` and `5xx` responses are retryable;
- retry stops immediately when context is canceled or deadline expires.
Timeout behavior:
- request timeout is derived from configured LLM timeout settings;
- timeout/cancellation propagate through HTTP requests and return nonzero process failures.
## Error Behavior
Non-2xx responses fail the request.
Error message extraction behavior:
- if provider JSON includes `error.message`, Audita surfaces that message;
- else if provider JSON includes top-level `message`, Audita surfaces that;
- otherwise Audita surfaces status code plus response body text.
Malformed or incompatible structured responses fail safely and are surfaced as runtime errors or validator/proposal warnings depending on call site.
## Secret Redaction
Configured LLM secrets are redacted from:
- surfaced adapter/runtime errors;
- LLM diagnostics request/response/error artifacts;
- effective config/report artifacts that include LLM configuration material.
Redaction marker:
- `[REDACTED]`
## Compatibility Boundaries
This integration documentation applies only to the implemented OpenAI-compatible chat completions flow.
Not part of current behavior:
- provider SDK integration;
- non-OpenAI-compatible API contracts;
- server-side model routing features beyond explicitly configured model/base URL.

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# Subprocess Integration
## Scope
This document describes how a parent process should invoke Audita as a subprocess.
It covers:
- invocation shape;
- stdout/stderr behavior;
- output/report file behavior;
- diagnostics and exit behavior.
For full CLI and config references, see [`docs/cli.md`](../cli.md) and [`docs/config.md`](../config.md).
## Recommended Invocation
Use explicit output and report paths for machine workflows:
```sh
audita process <transcript.json> \
--glossary <glossary.yaml> \
--output <output-transcript.json> \
--report-json <report.json>
```
Optional commonly used flags:
- `--config <path>`
- `--output-schema <bare-segments|audita-v1>`
- `--work-dir <dir>`
- `--work-dir-retention <always|auto|never>`
- `--transcript-description <text>`
## Stdout Contract
On success:
- with `--output`: stdout is expected to be empty;
- without `--output`: stdout contains transcript JSON only.
`--report-json` output is never written to stdout.
## Stderr Contract
Stderr is human-readable status/error output.
On failures:
- stderr includes a concise top-level error;
- when diagnostics are initialized, stderr includes diagnostics directory path.
Do not treat stderr as a machine-stable JSON channel.
## Output and Report File Contract
Transcript output:
- `--output` writes corrected transcript JSON to the provided path;
- output write failures return nonzero.
Report output:
- `--report-json` writes machine-readable process report JSON to the provided path;
- run diagnostics also attempt to write their own `report.json`;
- report write failures return nonzero;
- on failure paths, report writing is best-effort and does not mask the primary run error.
## Diagnostics Contract
When run-directory initialization succeeds, per-run diagnostics artifacts are written under the configured work directory.
Typical artifacts include:
- `source-transcript.json`
- `source-transcript-parsed.json`
- `normalized-transcript.json`
- `normalization-summary.json`
- `chunking-summary.json`
- `invocation.json`
- `effective-config.json`
- `utilization-diagnostics.json`
- `correction-ledger.json`
- `report.json`
- `error.log` (failure)
Retention behavior is controlled by `--work-dir-retention` / config.
## Exit Behavior
Exit codes:
- `0`: success;
- `1`: runtime processing/output/report failure;
- `2`: CLI usage or configuration input error.
Treat any nonzero as subprocess failure.
## Parent-Process Guidance
For reliable orchestration:
- read stdout and stderr concurrently to avoid pipe blocking;
- prefer `--output` and `--report-json` for machine parsing;
- use timeout/cancellation in the parent process;
- inspect diagnostics path and `report.json`/`error.log` on failure.
For input file contracts, see [`docs/integrations/transcript-glossary-files.md`](transcript-glossary-files.md).

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# Transcript and Glossary File Integration
## Scope
This document defines the input file contracts for:
- transcript JSON;
- glossary YAML.
These files are loaded and validated before processing begins.
## Transcript JSON Contract
Audita accepts either top-level shape:
- JSON array of segments; or
- JSON object with a `segments` array.
Segment fields:
- `id` (optional integer in source form);
- `speaker` (required non-empty string);
- `start` (required finite non-negative number);
- `end` (required finite non-negative number, `>= start`);
- `text` (required non-empty string);
- `categories` (optional string array; entries must be non-empty).
Additional rules:
- transcript must contain at least one segment;
- duplicate segment IDs are rejected when IDs are present.
Example (`examples/tiny-transcript.json`):
```json
[
{
"id": 1,
"speaker": "A",
"start": 0.0,
"end": 1.2,
"text": "hello world"
}
]
```
## Glossary YAML Contract
Audita expects top-level `glossary` list entries.
Entry fields:
- `name` (required non-empty string);
- `category` (required non-empty string);
- `summary` (required non-empty string);
- `aliases` (optional list of strings; entries must be non-empty);
- `plural` (optional string).
Additional rules:
- glossary must contain at least one entry.
Example (`examples/tiny-glossary.yaml`):
```yaml
glossary:
- name: Audita
aliases:
- audita
category: product
summary: The Audita transcript correction CLI.
```
## Validation Failure Behavior
Representative transcript validation failures:
- invalid JSON;
- unsupported top-level shape;
- empty `speaker` or `text`;
- invalid times (`NaN`, `Inf`, negative, or `end < start`);
- duplicate IDs;
- empty transcript array.
Representative glossary validation failures:
- invalid YAML;
- empty or missing glossary entries;
- missing required entry fields;
- empty alias values.
These failures surface as schema errors and the process exits nonzero.
## CLI Usage
Minimal invocation:
```sh
audita process ./transcript.json --glossary ./glossary.yaml --output ./corrected.json
```
See also:
- [`docs/cli.md`](../cli.md)
- [`docs/config.md`](../config.md)
- [`examples/tiny-transcript.json`](../../examples/tiny-transcript.json)
- [`examples/tiny-glossary.yaml`](../../examples/tiny-glossary.yaml)

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# Audita Diagnostics and Reporting
## Scope
This document describes diagnostics artifacts, process report mapping, and correction ledger generation.
## Run Directory Ownership
`internal/core/diagnostics` owns run-directory creation, artifact writes, and retention decisions.
Stable artifact names include:
- `source-transcript.json`
- `source-transcript-parsed.json`
- `normalized-transcript.json`
- `normalization-summary.json`
- `chunking-summary.json`
- `utilization-diagnostics.json`
- `correction-ledger.json`
- `invocation.json`
- `effective-config.json`
- `report.json`
- `error.log` (failure)
## Process Report Mapping
`internal/framework/processreport` maps runner/CLI execution facts into `reporting.ProcessReport`.
Report metadata fields include:
- `report_schema_name` (`audita-process-report`)
- `report_schema_version` (`v1`)
- `output_schema`
- `config_version` (when file config exists)
The report includes:
- top-level status/error phase/error message;
- normalization/chunking summaries;
- diagnostics metadata paths;
- per-module results and module summary.
## Correction Ledger
`internal/framework/processreport/BuildCorrectionLedger` flattens run results into `correction-ledger.json` entries.
Dispositions:
- `applied`
- `skipped`
- `rejected`
- `failed`
Validator decisions are split into deterministic and LLM-backed groups using validator metadata classification.
## Report Write Paths
- run directory always attempts to write `report.json` when possible;
- optional `--report-json` writes an external report file;
- on failure paths, report writing is best-effort and does not mask primary run errors.
## Retention Interaction
Current retention behavior:
- failed runs are retained;
- `always` keeps successful runs;
- `auto` removes only clean successful runs;
- `never` currently retains successful runs in current implementation.
## Redaction
Redacted data expectations:
- effective config artifact uses config redaction;
- diagnostics payloads and surfaced errors use LLM secret redaction;
- reports should not include raw API key values.
## Key Tests
- `internal/core/diagnostics/*_test.go`
- `internal/framework/processreport/*_test.go`
- `internal/core/reporting/report_test.go`
- `internal/cli/run_test.go`
- `cmd/audita/main_integration_test.go`

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# Audita LLM Runtime
## Scope
This document describes the structured LLM runtime and scheduler behavior.
## Client Boundary
All runtime LLM calls go through `contracts.StructuredLLMClient`.
Primary adapter:
- `internal/framework/llm/OpenAICompatibleClient`
## Request/Response Behavior
The OpenAI-compatible adapter sends chat completions requests with:
- model;
- messages;
- `response_format.type = json_schema`;
- strict schema envelope (`name`, `schema`, `strict=true`).
The response is decoded into the requested structured output target.
## Response Schema Registry
Structured response schemas are registered in `internal/framework/responseschema`:
- `correction_set`
- `validator_decision_set`
Each schema includes stable diagnostics metadata (`id`, `version`, `name`, `sha256`).
## Retries and Error Handling
Adapter retries apply to retryable conditions (for example transport/decoding/retryable status classes) up to configured `max_retries`.
Errors are sanitized to redact configured API-key values before surfacing.
Malformed structured output detection is shared through `internal/framework/structuredoutput` and is used by:
- proposal generation;
- LLM-backed validators.
## Scheduling and Concurrency
`internal/framework/llm/Scheduler` provides FIFO, context-aware permit gating.
Runner composes scheduler limits across:
- total LLM concurrency;
- proposal LLM concurrency;
- validation LLM concurrency.
Scheduler release is guarded to avoid permit leaks on cancellation/error.
## Diagnostics and Redaction
`internal/framework/llm/DiagnosticsWriter` writes request/response/error artifacts.
Configured secrets are derived from `llm.ConfiguredSecrets(cfg)` and redacted from:
- diagnostics payloads;
- surfaced runtime/adapter errors.
## Key Tests
- `internal/framework/llm/openai_compatible_client_test.go`
- `internal/framework/llm/scheduler_test.go`
- `internal/framework/llm/diagnostics_test.go`
- `internal/framework/responseschema/registry_test.go`
- `internal/framework/structuredoutput/malformed_test.go`

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# Audita Modules
## Scope
This document covers module contracts and built-in module packages.
## Module Contract
Modules implement `contracts.TranscriptModule`:
- `Key()`
- `ReplacementPolicy()`
- `Validators()`
- `Propose(ctx, req)`
Runner resolves configured module specs to module instances through `internal/framework/modules`.
## Built-In Modules
Current module packages:
- `internal/modules/glossary`
- `internal/modules/homophones`
- `internal/modules/spoken_word`
- `internal/modules/grammar`
Current replacement policies:
- `glossary`: `replace_all`
- `homophones`: `require_unique`
- `spoken_word`: `require_unique`
- `grammar`: `require_unique`
## Proposal Generation Ownership
Shared proposal-generation plumbing is centralized in:
- `internal/framework/proposal_generation`
Module packages own:
- prompt selection (`internal/prompts` prompt IDs);
- module-specific prompt payload construction.
Shared prompt helpers live in `internal/framework/promptcontext`.
## Validator Chain Ownership
Built-in chains are resolved in `internal/validators` per module key.
Module packages call the built-in chain resolver at construction.
## Failure and Warning Behavior
- module setup failures surface as `runner_setup` or module setup errors;
- module runtime failures surface as `runner_execution` with partial module results preserved;
- malformed structured proposal payloads are downgraded to warnings and section-level proposal rejection.
## Key Tests
- `internal/modules/*/module_test.go`
- `internal/framework/modules/registry_test.go`
- `internal/framework/proposal_generation/*_test.go`
- `internal/cli/run_test.go` (pipeline/report integration)

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# Audita Output Schemas
## Scope
This document describes the implemented transcript output schema registry.
## Registry Ownership
Output schema registry is owned by `internal/core/outputschema`.
Supported schema keys:
- `bare-segments`
- `audita-v1`
## Schemas
`bare-segments`:
- top-level JSON array of transcript segments.
`audita-v1`:
- top-level JSON object with:
- `schema: "audita-v1"`
- `version: "v1"`
- `segments: [...]`
Segment fields include `id`, `speaker`, `start`, `end`, `text`, and optional `categories`.
## Validation and Resolution
Config validation and runtime resolution both reject unsupported schema keys.
Unknown schema keys fail with `unsupported output schema` before output emission.
## Output Emission
The selected schema is used by `audita process` when writing:
- output file (`--output`) or
- stdout (when no `--output`).
Report metadata records selected `output_schema`.
## Key Tests
- `internal/core/outputschema/registry_test.go`
- `internal/core/config/config_test.go`
- `internal/cli/run_test.go`

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# Audita Internal Overview
## Scope
This document is the internal architecture entry point for developers and coding agents.
It summarizes:
- package boundaries;
- the main `process` execution path;
- where to add new code safely.
## Package Map
CLI and command orchestration:
- `internal/cli`
Core deterministic components:
- `internal/core/config`
- `internal/core/schema`
- `internal/core/normalization`
- `internal/core/chunking`
- `internal/core/outputschema`
- `internal/core/diagnostics`
- `internal/core/reporting`
- `internal/core/modulecatalog`
Framework orchestration and contracts:
- `internal/framework/contracts`
- `internal/framework/modules`
- `internal/framework/proposal_generation`
- `internal/framework/proposals`
- `internal/framework/runner`
- `internal/framework/validators`
- `internal/framework/llm`
- `internal/framework/responseschema`
- `internal/framework/structuredoutput`
- `internal/framework/processreport`
- `internal/framework/promptcontext`
- `internal/framework/stagename`
Domain implementations:
- `internal/modules/*`
- `internal/validators/*`
- `internal/prompts`
## Main Execution Path (`audita process`)
High-level flow:
1. CLI loads effective config and validates CLI requirements.
2. Run directory is created and invocation/effective config artifacts are written.
3. Transcript/glossary files are loaded and parsed.
4. Transcript is normalized and chunked.
5. `runner.Run` executes configured module instances.
6. Proposals are validated, applied deterministically, and serialized in selected output schema.
7. Process report, utilization diagnostics, correction ledger, and retention decisions are finalized.
## Boundary Summary
- `internal/core/*` owns deterministic, reusable logic and persistence-independent rules.
- `internal/framework/*` owns orchestration contracts and reusable runtime plumbing.
- `internal/modules/*` owns module-specific proposal behavior and prompt usage.
- `internal/validators/*` owns validator composition and built-in chain assembly.
- `internal/prompts` owns embedded prompt assets and metadata registry.
## Where To Add New Code
Add config fields:
- `internal/core/config`
Add module behavior:
- one package under `internal/modules/<module_key>`
- registration/wiring through `internal/framework/modules` and config module list
Add validators:
- implementation under `internal/validators/<validator_key>`
- registry/chain wiring in `internal/validators`
Add runtime orchestration behavior:
- `internal/framework/*` (runner/proposal/validator/LLM plumbing)
Add CLI surface:
- `internal/cli`
## Related Internal Docs
- [`docs/internal/pipeline.md`](pipeline.md)
- [`docs/internal/modules.md`](modules.md)
- [`docs/internal/validators.md`](validators.md)
- [`docs/internal/llm-runtime.md`](llm-runtime.md)
- [`docs/internal/diagnostics-reporting.md`](diagnostics-reporting.md)
- [`docs/internal/prompts.md`](prompts.md)
- [`docs/internal/output-schemas.md`](output-schemas.md)

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# Audita Internal Pipeline
## Scope
This document describes the implemented `audita process` pipeline.
## Inputs
Pipeline inputs are:
- effective config (`internal/core/config`);
- transcript JSON (`internal/core/schema`);
- glossary YAML (`internal/core/schema`).
## Pipeline Phases
1. Input loading and schema validation
- transcript and glossary files are read and parsed.
- schema failures stop the run with `transcript_schema` or `glossary_schema`.
2. Normalization
- canonical transcript segments are normalized by configured gap/duration/token settings.
- normalization summary artifacts are written.
3. Chunking
- normalized transcript is chunked with configured max/min tokens and target sections.
4. Module proposal generation
- runner executes configured module instances in sequence.
- each module proposes corrections per section.
- per-section proposal generation can run concurrently.
5. Validator filtering
- validators run on candidate proposals before apply.
- deterministic validators run before LLM-backed validators.
- LLM validator inputs are batched by max prompt token limit.
6. Deterministic apply
- approved proposals are applied via replacement policy.
- applied/skipped/rejected outcomes are recorded.
7. Output and reporting
- final transcript is serialized with selected output schema.
- report, utilization diagnostics, and correction ledger are written.
- retention policy is applied to run directory.
## Runner Outputs
`runner.Run` returns:
- final transcript;
- per-module results;
- utilization diagnostics.
CLI/reporting then map this into process report and diagnostics artifacts.
## Failure Behavior
Representative failure phases include:
- `run_dir_creation`
- `transcript_read`, `glossary_read`
- `transcript_schema`, `glossary_schema`
- `chunking`
- `runner_setup`, `runner_execution`
- `output_schema`, `serialization`, `output_write`, `stdout_write`
When diagnostics are available, failure stderr includes diagnostics path.
## Invariants
- module execution order follows configured module sequence;
- proposal/validator nondeterminism is isolated before deterministic apply;
- proposal indices are assigned deterministically by section order;
- output/report artifacts are generated from run results, not speculative state.
## Key Tests
- `internal/framework/runner/runner_test.go`
- `internal/framework/proposal_generation/*_test.go`
- `internal/cli/run_test.go`
- `cmd/audita/main_integration_test.go`

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# Audita Prompt Registry
## Scope
This document describes embedded prompt assets, prompt metadata, and rendering behavior.
## Registry Ownership
Prompt registry lives in `internal/prompts` and embeds assets under `internal/prompts/assets/**`.
Registered prompt IDs:
- `modules.glossary.proposal`
- `modules.homophones.proposal`
- `modules.spoken_word.proposal`
- `modules.grammar.proposal`
- `validators.spoken_form_plausibility`
- `validators.meaning_reversal_review`
- `validators.editorial_review`
- `validators.grammar_review`
- `validators.spoken_word_review`
## Metadata Model
Each prompt has metadata:
- `prompt_id`
- `prompt_version`
- `prompt_source`
- `embedded_path`
- `sha256`
Current source/version values:
- `prompt_source = builtin`
- `prompt_version = v1`
## Rendering
`prompts.RenderUserSystem(promptID, data)` renders system/user templates.
Template behavior:
- uses Go `text/template`;
- `missingkey=error` is enabled;
- output is trimmed.
A shared hardening fragment is embedded once and referenced by prompt templates.
## Prompt Context Inputs
Shared prompt payload helpers:
- transcript section JSON (`internal/framework/promptcontext/MarshalTranscriptSectionJSON`)
- transcript description block (`TranscriptDescriptionBlock`)
Modules and LLM validators provide typed data maps to render prompt assets.
## Diagnostics Integration
Prompt metadata is attached to proposal/validator diagnostics request metadata using `Metadata.DiagnosticsMap()`.
## Key Tests
- `internal/prompts/registry_test.go`
- `internal/framework/promptcontext/*_test.go`
- module and validator prompt builder tests

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# Audita Validators
## Scope
This document describes validator composition, execution order, and decision handling.
## Ownership
Built-in validator keys and chains:
- `internal/validators`
Shared validator runtime mechanics:
- `internal/framework/validators`
Execution-class metadata:
- `internal/validators/metadata`
## Built-In Validator Keys
Deterministic:
- `proposal_shape`
- `confidence_threshold`
- `original_text_presence`
- `non_empty_corrected_text`
- `no_effect`
- `protected_terms`
LLM-backed:
- `spoken_form_plausibility`
- `meaning_reversal_review`
- `editorial_review`
## Built-In Chains
Module chains are defined in `internal/validators/chains.go`.
Glossary, homophones, spoken_word, and grammar each resolve a fixed ordered chain.
## Runtime Execution
For each module section:
1. run deterministic validators;
2. run LLM-backed validators;
3. record decisions and warnings;
4. carry only approved proposals forward.
Decision cardinality is enforced: each candidate proposal must receive exactly one decision per validator.
## LLM Validator Batching
LLM validators:
- build canonical validation request payloads;
- batch by `validation_max_prompt_tokens`;
- call structured LLM client using response schema registry.
Oversized single proposals are rejected with `validator_input_too_large`.
Malformed LLM validator responses are downgraded to warnings and rejected batch decisions.
## Decision and Rejection Reporting
Runner records:
- `validator_decisions`
- `validator_rejected`
- warning records (including malformed response warnings)
Correction ledger classifies deterministic vs LLM validator decisions using canonical metadata classes.
## Key Tests
- `internal/validators/*_test.go`
- `internal/framework/validators/*_test.go`
- `internal/framework/processreport/correction_ledger_test.go`
- `internal/cli/run_test.go`

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# Audita Operations
## Scope
This document covers operational behavior for `audita process` as currently implemented:
- run lifecycle;
- output and report files;
- diagnostics artifacts;
- run-directory retention behavior;
- failure inspection and recovery.
For command syntax, see [`docs/cli.md`](cli.md).
## Process Run Lifecycle
A `process` run performs these high-level steps:
1. load effective config (defaults + optional file + env + CLI);
2. create a per-run diagnostics directory;
3. load transcript JSON and glossary YAML;
4. parse/validate input schemas;
5. normalize transcript and compute chunking;
6. run configured modules/validators;
7. serialize output schema and write transcript output;
8. build and write process report;
9. apply run-directory retention.
If a failure happens after diagnostics initialization, the run writes failure details and returns nonzero.
## Output Files
Transcript output:
- when `--output <path>` is set, corrected transcript JSON is written to that file;
- when `--output` is omitted, corrected transcript JSON is written to stdout.
Report output:
- when `--report-json <path>` is set, Audita writes a process report JSON file;
- the run directory also writes its own `report.json` artifact.
On success with `--output`, stdout is expected to be empty.
## Diagnostics Directory
By default, runs use `work_dir` from effective config (default `/tmp/audita`).
Each run directory is created under the work dir using a generated ID like `run-<unix-nanos>`.
Top-level diagnostics artifacts:
- `source-transcript.json`
- `source-transcript-parsed.json`
- `normalized-transcript.json`
- `normalization-summary.json`
- `chunking-summary.json`
- `utilization-diagnostics.json`
- `correction-ledger.json`
- `invocation.json`
- `effective-config.json` (redacted)
- `report.json`
- `error.log` (failure runs)
Report diagnostics metadata includes resolved paths to these artifacts.
## Correction Ledger and Utilization Diagnostics
`correction-ledger.json` records correction dispositions:
- `applied`
- `skipped`
- `rejected`
- `failed`
`utilization-diagnostics.json` records effective concurrency and execution timing summaries for run/module/validator activity.
## Retention Behavior
Retention is controlled by `work_dir_retention` (`auto|always|never`).
Current behavior:
- failed runs are always retained;
- `always`: successful runs are retained;
- `auto`: successful runs are retained only when skipped/rejected corrections occurred; clean successful runs are removed;
- `never`: successful runs are currently retained (same net retention outcome as `always` in current implementation).
Even when a successful run directory is removed under `auto`, an explicit `--report-json` file is still preserved at its target path.
## Failure Inspection
For failed runs:
1. read stderr for the top-level failure and diagnostics path;
2. open `error.log` in the reported run directory;
3. inspect run `report.json` (`status`, `error_phase`, `error_message`);
4. inspect related artifacts referenced by report diagnostics metadata.
Typical `error_phase` values include:
- `transcript_read`
- `glossary_read`
- `transcript_schema`
- `glossary_schema`
- `chunking`
- `runner_setup`
- `runner_execution`
- `output_schema`
- `serialization`
- `output_write`
- `stdout_write`
## Recovery Guidance
Safe recovery pattern:
1. correct the immediate input/config/output-path problem;
2. rerun with `--work-dir-retention always` during debugging;
3. once stable, restore your normal retention mode.
Not implemented:
- resume/checkpoint APIs
- remote diagnostics/report storage

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@@ -25,14 +25,12 @@ The current built-in modules are `glossary`, `homophones`, `spoken_word`, and `g
For external behavior and compatibility details, prefer links to existing behavior docs: For external behavior and compatibility details, prefer links to existing behavior docs:
- [Architecture overview](../architecture/architecture.md) - [CLI reference](../cli.md)
- [Public contract](../architecture/public-contract.md) - [Configuration](../config.md)
- [Diagnostics](../architecture/diagnostics.md) - [Operations](../operations.md)
- [Structured LLM](../architecture/structured-llm.md) - [Troubleshooting](../troubleshooting.md)
- [Validators](../architecture/validators.md) - [Integration docs](../integrations/subprocess.md)
- [Prompts](../architecture/prompts.md) - [Internal docs](../internal/overview.md)
- [Output schemas](../architecture/output-schemas.md)
- [Configuration](../configuration.md)
## Core Design Principles ## Core Design Principles
@@ -124,7 +122,7 @@ Config behavior is owned by `internal/core/config`; command usage and process wi
`audita process` uses implemented precedence: defaults, config file, environment, then CLI flags. `config validate` validates defaults plus a file config and intentionally does not apply environment overrides. `config print-effective` applies defaults, file config, and environment overrides, then prints redacted JSON. `audita process` uses implemented precedence: defaults, config file, environment, then CLI flags. `config validate` validates defaults plus a file config and intentionally does not apply environment overrides. `config print-effective` applies defaults, file config, and environment overrides, then prints redacted JSON.
Do not duplicate full CLI or config reference material here. Use [Configuration](../configuration.md), the README, and [Public contract](../architecture/public-contract.md) for current external behavior. Do not duplicate full CLI or config reference material here. Use [Configuration](../config.md), [CLI reference](../cli.md), [Operations](../operations.md), and integration docs under [`docs/integrations/`](../integrations/subprocess.md) for current external behavior.
When adding config fields or CLI flags, update: When adding config fields or CLI flags, update:

124
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@@ -0,0 +1,124 @@
# Audita Development Workflow
## Scope
This is the canonical contributor workflow for Audita maintainers and coding agents.
It defines:
- repository layout and boundaries;
- setup and test commands;
- expectations for code changes;
- how to add config, CLI, modules, validators, docs, and examples.
## Setup
Prerequisites:
- Go `1.24` or newer.
Common commands:
```sh
go test ./...
go build ./cmd/audita
```
## Repository Layout
Top-level areas:
- `cmd/audita`: executable entrypoint.
- `internal/cli`: command parsing and process/config command orchestration.
- `internal/core`: deterministic config/schema/normalization/chunking/output/diagnostics/reporting logic.
- `internal/framework`: runner orchestration, contracts, proposal generation/application, validators runtime, LLM runtime, response schemas.
- `internal/modules/*`: module-specific correction behavior.
- `internal/validators/*`: validator implementations, chains, and metadata.
- `internal/prompts`: embedded prompts and prompt metadata.
- `docs/`: canonical documentation.
- `examples/`: maintained copyable inputs/configs.
## Change Workflow
1. Confirm scope and behavior contract before editing.
2. Make focused changes in the appropriate ownership area.
3. Add or update tests for changed behavior.
4. Run targeted package tests for touched areas.
5. Run `go test ./...` for substantial changes.
6. Update docs/examples when external behavior changes.
## How To Add or Change Configuration
1. Add fields/defaults/validation under `internal/core/config`.
2. Apply source precedence correctly (defaults, file, env, CLI for `process`).
3. Ensure `config validate` remains file-only and `config print-effective` remains redacted.
4. Update tests in `internal/core/config` and related CLI tests.
5. Update [`docs/config.md`](../config.md) and relevant examples under `examples/`.
## How To Add or Change CLI Behavior
1. Implement parsing/wiring in `internal/cli`.
2. Keep stdout/stderr and exit behavior compatible unless intentional and documented.
3. Update CLI tests under `internal/cli` and integration tests under `cmd/audita`.
4. Update [`docs/cli.md`](../cli.md) and related integration docs.
## How To Add or Change Modules
1. Add or update one module package under `internal/modules/<module_key>`.
2. Keep module-specific prompt ownership in the module + `internal/prompts`.
3. Wire module registration/catalog resolution through framework/core module catalog code.
4. Verify replacement policy and validator chain selection.
5. Add/update module tests and proposal-generation tests.
6. Update internal docs when behavior/contracts change.
## How To Add or Change Validators
1. Implement validator behavior in `internal/validators` and shared runtime pieces in `internal/framework/validators` only when needed.
2. Preserve stable validator keys and decision semantics where already exposed.
3. Keep deterministic vs LLM-backed execution-class behavior explicit.
4. Add/update validator, chain, batching, and malformed-output tests.
5. Update validator documentation when external or developer-facing behavior changes.
## Documentation and Examples Expectations
- Keep one canonical home per topic (see [`docs/policy/documentation.md`](documentation.md)).
- Do not document future/unimplemented behavior outside `docs/roadmap/`.
- Keep command examples and config/examples in sync with current code.
- Keep examples secret-free and copyable.
## Practical Validation Checklist
Use this checklist for meaningful runtime-impacting changes:
1. Run core tests:
```sh
go test ./...
```
2. Verify config commands and examples:
```sh
go run ./cmd/audita config validate --config examples/minimal-config.yml
go run ./cmd/audita config validate --config examples/production-config.yml
go run ./cmd/audita config print-effective --config examples/minimal-config.yml
```
3. Re-check subprocess/runtime contract when touching CLI/process/report paths:
- `--output` success keeps stdout empty;
- no `--output` success writes transcript JSON to stdout;
- `--report-json` writes file output and is not written to stdout;
- failures return nonzero and include diagnostics path when available.
4. Re-check diagnostics/report/redaction when touching LLM, reporting, or diagnostics code:
- report schema metadata fields remain present;
- diagnostics artifact paths remain valid;
- configured secret values remain redacted in reports/diagnostics/errors.
5. Re-check output schema behavior when touching serialization/schema code:
- default `bare-segments` behavior remains correct unless intentionally changed;
- `audita-v1` behavior remains correct unless intentionally changed;
- unsupported schemas fail validation/resolve paths clearly.
## Commit Discipline
- Keep commits scoped and reviewable.
- Avoid mixing unrelated refactors with behavior changes.
- Use concise plain-English commit messages.

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@@ -1,128 +0,0 @@
# Audita Release Checklist
Use this checklist before cutting a pre-1.0 or 1.0 release candidate.
## Core test pass
- Run:
- `go test ./...`
- Confirm tests pass without live LLM credentials and without Python dependencies.
## Config validation and precedence
- Validate a representative config:
- `audita config validate --config <path>`
- Inspect redacted effective config:
- `audita config print-effective --config <path>`
- Confirm precedence behavior:
- defaults -> file config -> environment -> CLI.
- Confirm default config search order:
- `/usr/local/etc/audita/config.yml` first, then `/etc/audita/config.yml`.
- Confirm missing both default-path config files is non-fatal when `--config`/`AUDITA_CONFIG` are unset.
## Output schema checks
- Verify default output schema remains `bare-segments`.
- Verify `--output-schema audita-v1` emits object payload with `schema` and `version`.
- Verify unknown schema (for example `seriatim-intermediate`) fails clearly.
## Subprocess contract checks
- With `--output`, verify stdout is empty on success.
- Without `--output`, verify stdout contains transcript JSON only.
- Verify `--report-json` writes file output and does not write report JSON to stdout.
- Verify failure stderr remains human-readable and includes diagnostics path when available.
- Verify nonzero exit on failures.
## Structured LLM checks
- Verify runtime uses the Audita-owned OpenAI-compatible adapter.
- Verify structured response schemas are attached via `response_format.type=json_schema`.
- Verify diagnostics metadata includes structured schema `id/version/name/sha256`.
- Verify provider output is still locally decoded/validated before use.
- Verify malformed module-stage structured payloads degrade to warnings/rejections instead of failing the run.
## Report and diagnostics schema checks
- Verify report metadata fields:
- `report_schema_name`
- `report_schema_version`
- `output_schema`
- `config_version` when file config is used.
- Verify diagnostics artifact references exist in reports:
- transcript/normalization/chunking/invocation/effective-config artifacts
- utilization diagnostics artifact
- correction ledger artifact
- error log on failures.
## Redaction checks
- Verify secrets are redacted from:
- `effective-config.json`
- run-dir and `--report-json` reports
- LLM request/response/error diagnostics payloads.
- Verify no API keys/bearer tokens leak into fixtures or outputs.
## Prompt and validator metadata checks
- Verify prompt metadata appears in LLM request metadata diagnostics:
- `prompt_id`, `prompt_version`, `prompt_source`, `embedded_path`, `sha256`.
- Verify stable validator keys appear in report decisions/rejections.
- Verify module warning records appear in reports for malformed proposal-generation payloads and malformed validator batches.
- Verify built-in validator chains resolve and execute for default and explicit module runs.
## Utilization diagnostics checks
- Verify `utilization-diagnostics.json` exists on successful runs.
- Verify partial utilization artifact behavior on controlled failure paths.
- Verify utilization fields are structurally present and nonnegative:
- effective concurrency
- run timing
- module timing summaries
- per-validator timing summaries.
## Correction ledger checks
- Verify `correction-ledger.json` exists on successful runs.
- Verify report references ledger artifact path.
- Verify ledger dispositions include applied/rejected and skipped/failed where exercised.
- Verify validator rejection and proposal-application skip remain distinct.
## Pipeline behavior checks
- Verify default full pipeline run remains:
- `glossary`, `homophones`, `glossary`, `spoken_word`, `grammar`
- with deterministic repeated instance naming (`glossary_1`, `glossary_2`).
- Verify explicit module runs (`--modules`) still work.
## Failure and cancellation checks
- Verify controlled failure paths retain diagnostics and produce best-effort failure reports.
- Verify malformed proposal-generation payloads keep exit code `0`, keep stderr empty on success, and record warnings in reports/diagnostics.
- Verify malformed validator payloads reject only the affected batch and do not fail the module.
- Verify timeout/cancellation paths exit nonzero, do not hang, and retain failure diagnostics when initialized.
## Release fixture/idempotence checks
- Run release fixtures (`internal/cli/testdata/release`) through `go test ./...`.
- Confirm fixture checks cover:
- must-apply and must-not-apply expectations
- protected-term survival
- report and diagnostics contracts
- output-schema checks
- prompt/schema metadata diagnostics
- utilization/ledger artifacts
- idempotence-oriented second pass no-op behavior with deterministic fake responses.
## Deferred-feature guardrail
- Confirm release docs do not claim support for deferred items:
- filesystem prompt overrides
- user-configurable validator chains
- arbitrary user-supplied output schemas
- resume/start-at/stop-after execution
- diff/check/propose-only modes
- generated transcript descriptions enabled by default
- interactive review UI
- UI/server wrapper
- provider benchmarking harness.

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# Audita Troubleshooting
## Scope
This guide lists recurring implemented failure modes for `audita process` and `audita config`.
For each entry: symptom, likely cause, inspect, and fix.
## Config Validation Fails
Symptom:
- `audita config validate --config <path>` exits nonzero.
Likely causes:
- missing `version`;
- unsupported config version;
- unknown YAML field;
- unsupported module key or output schema;
- invalid numeric/range/concurrency/retention values.
Inspect:
1. rerun `audita config validate --config <path>` and read stderr.
2. if needed, inspect effective config with `audita config print-effective --config <path>`.
Fix:
- set `version: 1`;
- remove unknown fields;
- use supported module keys and output schemas (`bare-segments`, `audita-v1`);
- correct invalid values to satisfy validation constraints.
## Config File Resolution Errors
Symptom:
- `audita process` fails before processing with config-related errors like `config file not found`.
Likely causes:
- `--config` points to a missing path;
- `AUDITA_CONFIG` points to a missing path;
- unreadable config path.
Inspect:
1. confirm `--config` or `AUDITA_CONFIG` path exists;
2. run `audita config validate --config <path>` directly.
Fix:
- correct the path or unset invalid `AUDITA_CONFIG`;
- fix permissions for the config file.
## Transcript or Glossary Schema Errors
Symptom:
- stderr includes `transcript_schema` or `glossary_schema` and run exits nonzero.
Likely causes:
- transcript is not valid JSON or has invalid segment fields;
- glossary is not valid YAML or has missing required glossary entry fields.
Inspect:
1. check stderr for parser/validation details;
2. if diagnostics were created, inspect `error.log` and run `report.json` (`error_phase`);
3. inspect `source-transcript.json` and `source-transcript-parsed.json` in the run directory.
Fix:
- correct transcript JSON shape/content;
- correct glossary YAML shape/content and required entry fields;
- rerun validation with known-good tiny examples for comparison:
- `examples/tiny-transcript.json`
- `examples/tiny-glossary.yaml`
## LLM Runtime/Backend Failures
Symptom:
- stderr includes `runner_execution` (or backend timeout/error details) and nonzero exit.
Likely causes:
- unreachable/failed LLM endpoint;
- timeout/cancellation;
- runtime module execution failure.
Inspect:
1. inspect stderr for backend message details;
2. inspect run `report.json` (`error_phase`, `module_results`);
3. inspect diagnostics payloads and `error.log`.
Fix:
- verify model/base URL/API key settings;
- increase timeout if needed;
- rerun with `--work-dir-retention always` while debugging.
## Output File Write Failure
Symptom:
- stderr includes `failed to write output file` and run exits nonzero.
Likely causes:
- output path directory missing;
- insufficient filesystem permissions;
- invalid output target path.
Inspect:
1. check `--output` target directory exists and is writable;
2. inspect run diagnostics `error.log` and report `error_phase`.
Fix:
- write to a valid writable path;
- create missing directories;
- adjust permissions.
## Report File Write Failure
Symptom:
- stderr includes `failed to write report JSON file` and run exits nonzero.
Likely causes:
- invalid or unwritable `--report-json` target path.
Inspect:
1. verify parent directory exists and is writable;
2. inspect diagnostics `error.log` for `report_write` context.
Fix:
- choose a writable report path;
- create missing directories;
- rerun.
## Unsupported Output Schema
Symptom:
- stderr includes `unsupported output schema` and run exits nonzero.
Likely causes:
- unsupported `--output-schema` value;
- unsupported `output.schema` in config.
Inspect:
1. check CLI/config schema key;
2. run `audita config validate --config <path>` when config is involved.
Fix:
- use `bare-segments` or `audita-v1`.
## Diagnostics Directory Lookup
Symptom:
- run fails and you need artifacts for debugging.
Inspect:
1. read stderr for `audita process: diagnostics: <run-dir>`;
2. open `<run-dir>/report.json` and `<run-dir>/error.log`;
3. use diagnostics paths embedded in report metadata for artifact lookup.
Fix:
- rerun with `--work-dir-retention always` to preserve run directories during investigation.

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@@ -0,0 +1,6 @@
version: 1
output:
schema: bare-segments
llm:
proposal:
api_key_env: AUDITA_LLM_API_KEY

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@@ -0,0 +1,41 @@
version: 1
pipeline:
modules: [glossary, homophones, glossary, spoken_word, grammar]
output:
schema: audita-v1
llm:
proposal:
base_url: https://openrouter.ai/api/v1
model: openrouter/google/gemma-4-31b-it
api_key_env: AUDITA_LLM_API_KEY
timeout: 120s
max_retries: 3
validation:
base_url: https://openrouter.ai/api/v1
model: openrouter/google/gemma-4-31b-it
api_key_env: AUDITA_VALIDATION_LLM_API_KEY
timeout: 120
max_retries: 3
concurrency:
total_llm: 2
proposal_llm: 2
validation_llm: 1
chunking:
target_sections: 8
max_section_tokens: 8192
min_section_tokens: 2048
normalization:
max_segment_gap: 4s
ellipsis_gap: 3.5s
max_segment_duration: 60s
max_segment_tokens: 2048
thresholds:
glossary: 0.8
homophones: 0.8
spoken_word: 0.8
grammar: 0.8
context:
description: "General context for domain vocabulary and speaker names."
diagnostics:
work_dir: /tmp/audita
retention: auto

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@@ -0,0 +1,6 @@
glossary:
- name: Audita
aliases:
- audita
category: product
summary: The Audita transcript correction CLI.

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@@ -0,0 +1,9 @@
[
{
"id": 1,
"speaker": "A",
"start": 0.0,
"end": 1.2,
"text": "hello world"
}
]