Documentation update in advance of building the scriptorium integration

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# Audita
Audita is a framework-first transcript correction application. The public `audita` package provides:
- deterministic transcript normalization
- token-batched module orchestration
- concrete `glossary`, `homophones`, `spoken_word`, and `grammar` modules built on reusable proposal / validator contracts
- structured run reporting and work-dir diagnostics
The previous working implementation has been preserved as `audita_prototype` inside this repository. Its full regression suite lives under `tests/audita_prototype`.
## Development
This project is set up for `uv`.
```sh
uv sync --extra dev
uv run pytest
```
## Usage
Process a transcript with the current framework implementation:
```sh
uv run audita process transcript.json --glossary glossary.yaml --output corrected.json
```
The framework currently runs this default module sequence:
1. `glossary`
2. `homophones`
3. `glossary`
4. `spoken_word`
5. `grammar`
Resolved run instance names are auto-numbered for repeats, so the default report pipeline is:
1. `glossary_1`
2. `homophones`
3. `glossary_2`
4. `spoken_word`
5. `grammar`
The default module sequence is fully implemented today:
- `glossary` proposes glossary-supported acoustic corrections
- `homophones` proposes conservative homophone and mistranscription corrections
- `spoken_word` proposes conservative dysfluency cleanup
- `grammar` proposes punctuation, capitalization, and spacing cleanup only
To run a custom module sequence, pass `--modules`:
```sh
uv run audita process transcript.json --glossary glossary.yaml --modules grammar --output corrected.json
```
To also write a structured JSON report:
```sh
uv run audita process transcript.json --glossary glossary.yaml --output corrected.json --report-json report.json
```
From a checked-out repository, you can also use the root launcher:
```sh
./audita process transcript.json --glossary glossary.yaml --output corrected.json
```
For a system-wide command, install the source tree under `/usr/local/src/audita`, sync dependencies there, and symlink the root launcher into your `PATH`:
```sh
cd /usr/local/src/audita
uv sync --extra dev
ln -s /usr/local/src/audita/audita /usr/local/bin/audita
audita process transcript.json --glossary glossary.yaml --output corrected.json
```
Without `--output`, Audita writes the corrected transcript JSON to stdout and progress logs to stderr.
`--report-json` writes a separate machine-readable run report and never mixes report data into stdout.
Useful configuration can be supplied by CLI flag or environment variable. CLI flags take precedence over environment variables. Normal runs now require LLM API credentials, because the `glossary`, `homophones`, `spoken_word`, and `grammar` modules make real LLM calls. `AUDITA_LLM_API_KEY` and `--llm-api-key` are the preferred provider-neutral credential surfaces, while `OPENROUTER_API_KEY` remains supported as a backward-compatible fallback.
| Environment variable | CLI flag | Default | Purpose |
| --- | --- | --- | --- |
| `AUDITA_MODULES` | `--modules` | `glossary,homophones,glossary,spoken_word,grammar` | Comma-separated logical module keys to run; CLI overrides the environment value |
| `AUDITA_LLM_API_KEY` | `--llm-api-key` | unset | Preferred provider-neutral LLM API credential; CLI overrides both environment-key variants |
| `AUDITA_VALIDATION_LLM_API_KEY` | `--validation-llm-api-key` | unset | Validation-phase LLM API credential; defaults to the primary LLM API key |
| `AUDITA_MODEL` | `--model` | `openrouter/google/gemma-4-31b-it` | LLM model name sent to the configured OpenAI-compatible endpoint |
| `AUDITA_VALIDATION_MODEL` | `--validation-model` | unset | Validation-phase LLM model; defaults to `AUDITA_MODEL` |
| `AUDITA_BASE_URL` | `--base-url` | `https://openrouter.ai/api/v1` | OpenAI-compatible API base URL |
| `AUDITA_VALIDATION_BASE_URL` | `--validation-base-url` | unset | Validation-phase OpenAI-compatible API base URL; defaults to `AUDITA_BASE_URL` |
| `AUDITA_LLM_TIMEOUT_SECONDS` | `--llm-timeout-seconds` | `600` | Per-request timeout in seconds for LLM calls to the configured OpenAI-compatible endpoint |
| `AUDITA_VALIDATION_LLM_TIMEOUT_SECONDS` | `--validation-llm-timeout-seconds` | unset | Validation-phase per-request timeout in seconds; defaults to `AUDITA_LLM_TIMEOUT_SECONDS` |
| `AUDITA_VALIDATION_MAX_PROMPT_TOKENS` | `--validation-max-prompt-tokens` | `2048` | Maximum estimated tokens per validation-phase LLM prompt batch |
| `AUDITA_TARGET_SECTIONS` | `--target-sections` | unset | Exact number of contiguous proposal-stage transcript sections; errors if min/max token bounds cannot be satisfied |
| `AUDITA_MAX_RETRIES` | `--max-retries` | `3` | Maximum Instructor retries for structured responses |
| `AUDITA_VALIDATION_MAX_RETRIES` | `--validation-max-retries` | unset | Validation-phase structured-output retries; defaults to `AUDITA_MAX_RETRIES` |
| `AUDITA_VALIDATION_LLM_CONCURRENCY` | `--validation-llm-concurrency` | unset | Validation-phase LLM concurrency; defaults to `AUDITA_LLM_CONCURRENCY` |
| `AUDITA_MAX_SECTION_TOKENS` | `--max-section-tokens` | `8192` | Maximum estimated tokens per proposal-stage transcript section |
| `AUDITA_MIN_SECTION_TOKENS` | `--min-section-tokens` | `2048` | Minimum estimated tokens per proposal-stage transcript section when balancing for concurrency |
| `AUDITA_GLOSSARY_CONFIDENCE_THRESHOLD` | `--glossary-confidence-threshold` | `0.8` | Minimum confidence required for glossary proposals to survive validation |
| `AUDITA_GRAMMAR_CONFIDENCE_THRESHOLD` | `--grammar-confidence-threshold` | `0.8` | Minimum confidence required for grammar proposals to survive validation |
| `AUDITA_HOMOPHONES_CONFIDENCE_THRESHOLD` | `--homophones-confidence-threshold` | `0.8` | Minimum confidence required for homophone proposals to survive validation |
| `AUDITA_SPOKEN_WORD_CONFIDENCE_THRESHOLD` | `--spoken-word-confidence-threshold` | `0.8` | Minimum confidence required for spoken-word proposals to survive validation |
| `AUDITA_NORMALIZE_MAX_SEGMENT_GAP` | `--normalize-max-segment-gap` | `4.0` | Same-speaker gaps eligible for deterministic merging |
| `AUDITA_NORMALIZE_ELLIPSIS_GAP` | `--normalize-ellipsis-gap` | `3.5` | Same-speaker gaps above this value are joined with ` ... ` |
| `AUDITA_NORMALIZE_MAX_SEGMENT_DURATION` | `--normalize-max-segment-duration` | `60.0` | Maximum merged segment duration |
| `AUDITA_NORMALIZE_MAX_SEGMENT_TOKENS` | `--normalize-max-segment-tokens` | `2048` | Maximum merged segment prompt payload size |
| `AUDITA_WORK_DIR` | `--work-dir` | `/tmp/audita` | Per-run scratch diagnostics directory |
| `AUDITA_WORK_DIR_RETENTION` | `--work-dir-retention` | `auto` | Whether to retain the per-run work directory: `auto`, `always`, or `never` |
Set `AUDITA_MODULES=grammar` to run only the grammar module by default, or override it per command with `--modules`.
Validation-phase LLM settings inherit from the primary `AUDITA_*` LLM settings by default. Set any of the `AUDITA_VALIDATION_*` values only when you want LLM-backed validators to use a different model, endpoint, credential, timeout, retry budget, or concurrency level.
OpenRouter remains the default out of the box:
```sh
export AUDITA_LLM_API_KEY=your-openrouter-key
audita process transcript.json --glossary glossary.yaml --output corrected.json
```
You can point Audita at any OpenAI-compatible endpoint by changing `AUDITA_BASE_URL` and, if needed, `AUDITA_MODEL`. For example, a local vLLM server:
```sh
export AUDITA_LLM_API_KEY=local-dev-key
export AUDITA_BASE_URL=http://localhost:8000/v1
export AUDITA_MODEL=meta-llama/Llama-3.1-8B-Instruct
audita process transcript.json --glossary glossary.yaml --output corrected.json
```
Or the actual OpenAI API:
```sh
export AUDITA_LLM_API_KEY=your-openai-key
export AUDITA_BASE_URL=https://api.openai.com/v1
export AUDITA_MODEL=gpt-4.1-mini
audita process transcript.json --glossary glossary.yaml --output corrected.json
```
`AUDITA_WORK_DIR` stores per-run diagnostics while processing. Under the default `AUDITA_WORK_DIR_RETENTION=auto`, clean successful runs are removed, while failed runs and successful runs with final skipped corrections are preserved. Use `always` to keep every run directory and `never` to remove successful run directories even when skips remain.
Failed runs always preserve the run directory and include an authoritative `report.json` alongside normalization and prompt/response diagnostics.
## Prototype Archive
The archived prototype remains importable as `audita_prototype` and is still covered by its original regression suite. This is intentional: the new `audita` package is a framework-oriented rewrite, not a thin wrapper around the old code.

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# Narratio -> Scriptorium CLI Integration
## 1. Purpose
This document defines how Narratio should invoke Scriptorium through the **public CLI**.
This is a **subprocess integration contract**, not an internal Go API contract.
## 2. Assumptions
- `scriptorium` is installed and available on `PATH`.
- Scriptorium is configured with `config.yml`.
- `config.yml` provides `prompt_dir`, `profile_dir`, and `schema_dir` as needed.
- Prompt and profile libraries are already deployed for the environment.
- Narratio provides prepared artifact files (for example polished transcript, glossary, previous recap, campaign notes).
- Initial integration is synchronous subprocess execution.
- Narratio remains the orchestrator.
In normal operation, Narratio does not need to pass `--prompt-dir` and `--profile-dir` if they are supplied by Scriptorium config.
Narratio may pass `--config <PATH>` when it must use a non-default Scriptorium config file.
## 3. Core Commands Narratio May Call
Primary commands for subprocess integration:
- `scriptorium run`
- `scriptorium render`
For production generation, use `scriptorium run`.
`scriptorium render` is for debugging, dry-runs, test assertions, and validating command construction without LLM execution.
Note: `scriptorium serve` and HTTP API exist, but they are not the initial integration path.
## 4. Command Selection Guidance
- Use `run` to generate an output artifact.
- Use `render` to inspect the prepared prompt and effective settings without calling the LLM.
- Use `render --format json` when Narratio/tests need structured prepare output.
## 5. Recommended `run` Invocation Shape
Production shape:
```bash
scriptorium run \
--prompt <prompt_id> \
--input transcript=<processed-transcript-path> \
--out <output-artifact-path>
```
Common optional additions:
- `--config <path>`: use a specific Scriptorium config file.
- `--profile <profile_id>`: override prompt default profile.
- `--var name=value` (repeatable): small metadata values.
- `--input name=path` (repeatable): additional named artifacts.
- `--timeout <duration>`: per-run timeout override.
- Runtime model override flags (`--llm-base-url`, `--model`, etc.) only for exceptional/operator-directed cases.
## 6. Recommended `render` Invocation Shape
Human-readable debug shape:
```bash
scriptorium render \
--prompt <prompt_id> \
--input transcript=<processed-transcript-path> \
--format text
```
Structured debug/test shape:
```bash
scriptorium render \
--prompt <prompt_id> \
--input transcript=<processed-transcript-path> \
--format json \
--out <render-debug-path>
```
`render` does **not** call the LLM, does **not** validate model output, and does **not** perform repair.
## 7. Inputs
- Pass inputs as repeated `--input name=path` flags.
- `name` must match the Prompt Definition input name.
- Prefer absolute paths, or paths relative to a working directory controlled by Narratio.
- Pass Audita output as the primary transcript input.
- Additional inputs may include glossary, previous recap, campaign notes, event logs, final state maps, or other prompt-specific artifacts.
- Scriptorium reads input files directly; Narratio does not need to inline file content for CLI use.
## 8. Variables
Use repeated `--var name=value` for small metadata values.
Typical examples:
- `session_date`
- `session_id`
- `campaign_name`
- `previous_session_id`
- `output_kind`
Large content belongs in input files, not `--var` values.
## 9. Prompt IDs and Output Artifact Types
Narratio should treat prompt IDs as configuration, not hardcoded business logic.
Narratio config may map stage/output names to prompt IDs, for example:
- session recap prompt
- structured event extraction prompt
- glossary suggestion prompt
- player-facing summary prompt
Prompt IDs used by Narratio should come from the deployed Scriptorium prompt library.
## 10. Profiles
- Prompts may declare `default_profile`.
- Narratio may omit `--profile` to use prompt default profile.
- Narratio may pass `--profile` to force profile selection.
- This enables environment/profile selection like `local-fast`, `local-quality`, `frontier`, `batch`, or test profiles.
- Profile names should generally be Narratio configuration values.
## 11. Runtime Overrides
Supported runtime override flags:
- `--llm-base-url`
- `--model`
- `--api-key-env`
- `--temperature`
- `--max-tokens`
- `--top-p`
- `--timeout`
Guidance:
- Keep normal model/runtime settings in Execution Profiles.
- Use runtime overrides only for explicit per-run exceptions, tests, or operator overrides.
- Never pass raw API keys on the command line.
- `--api-key-env` names an environment variable; Narratio must ensure that variable is set in subprocess environment.
## 12. Config Behavior
- Default config path: `/etc/scriptorium/config.yml`.
- `--config <PATH>` overrides default path.
- Missing default config is allowed by Scriptorium.
- If `--config` is provided explicitly, the file must exist and be valid.
- CLI flags override `config.yml`.
- `config.yml` overrides built-in application defaults.
Narratio can either:
- rely on system default config path, or
- carry an explicit config path and pass `--config`.
## 13. Environment Handling
Subprocess environment recommendations:
- Pass through required API-key environment variables referenced by `api_key_env`.
- Do not pass raw API keys as CLI arguments.
- Avoid logging full environment dumps.
- Capture stdout and stderr separately.
- Use a controlled working directory.
- Prefer absolute artifact paths.
## 14. Output Handling
For `scriptorium run`:
- Use `--out` when Narratio needs durable artifact files.
- Without `--out`, artifact content is written to stdout.
- Preferred orchestration pattern: always use `--out`, then treat the file as stage output artifact.
- Capture stderr for diagnostics.
For `scriptorium render`:
- Use `--out` to store render diagnostics.
- Use `--format json` when tests need to inspect selected profile, effective runtime settings, input hashes, prompt hash, and rendered messages.
## 15. Exit Status and Errors
Current CLI behavior (verified from implementation/tests):
- `0`: success.
- `1`: runtime/parse/config/load/render/generation/IO error.
- `2`: run completed but output validation failed (`ValidationFailed`).
Additional details:
- On `run`, output artifact write happens before exit code selection. If validation fails, artifact may still be written and exit code is `2`.
- `stderr` carries both errors and normal run summary output; non-empty stderr alone does not imply failure.
- `render` returns `0` on success and `1` on failures.
Narratio should treat non-zero exit codes as failed stage execution, but may record generated artifact paths if a run exited `2` and output file exists.
## 16. Recommended Narratio Integration Pattern
1. Build CLI args from Narratio stage configuration.
2. Use subprocess context cancellation/timeout.
3. Pass absolute input paths.
4. Pass `--out` to a session-scoped artifact path.
5. Add `--var` metadata values.
6. Optionally add `--config`.
7. Optionally add `--profile`.
8. Ensure required API-key env vars are present.
9. Run subprocess synchronously.
10. Capture stdout/stderr separately.
11. On success, store output artifact path and invocation metadata in stage artifacts.
12. On failure, store exit code and stderr diagnostics in stage status.
## 17. Suggested Narratio Configuration Shape
Illustrative (not required schema):
```yaml
scriptorium:
config_path: /etc/scriptorium/config.yml
stages:
session_recap:
prompt_id: dnd.session_recap
profile_id: local-quality # optional
inputs: [transcript, glossary, previous_recap]
vars: [session_id, session_date, campaign_name]
output_path_template: artifacts/{session_id}/session_recap.md
timeout: 2m
render_debug: false
```
The key idea: map Narratio stage/artifact names to prompt ID, optional profile, expected inputs, and output destination.
## 18. Testing Strategy for Narratio Integration
- Use `scriptorium render --format json` to verify command construction without LLM calls.
- Use dedicated test prompt/profile libraries for integration tests.
- Use small fixture transcripts.
- Verify missing-input failure behavior.
- Verify prompt `default_profile` behavior.
- Verify explicit `--profile` override behavior.
- Verify `--config` behavior (default and explicit).
- Verify output file creation when `--out` is used.
- Verify stderr capture on failures.
- Avoid real API keys in tests.
## 19. Security and Privacy Notes
- Never pass raw API keys on command line.
- Do not log full rendered prompts by default; transcripts may contain sensitive content.
- Avoid logging prompt content unless explicit debug mode is enabled.
- Treat generated artifacts as potentially sensitive.
- Use session-scoped, access-controlled output paths.
- `api_key_env` names should come from environment management, not embedded secrets.
## 20. Initial D&D Artifact Generation Examples
These are examples only. Use prompt IDs from the deployed prompt library.
Session recap:
```bash
scriptorium run \
--prompt dnd.session_recap \
--input transcript=/work/session-42/transcript.polished.md \
--input glossary=/work/session-42/glossary.yml \
--out /work/session-42/artifacts/session_recap.md
```
Structured events:
```bash
scriptorium run \
--prompt dnd.structured_events \
--input transcript=/work/session-42/transcript.polished.md \
--out /work/session-42/artifacts/structured_events.json
```
Glossary suggestions:
```bash
scriptorium run \
--prompt dnd.glossary_suggestions \
--input transcript=/work/session-42/transcript.polished.md \
--input previous_recap=/work/session-41/artifacts/session_recap.md \
--out /work/session-42/artifacts/glossary_suggestions.md
```
Player-facing summary:
```bash
scriptorium run \
--prompt dnd.player_summary \
--input transcript=/work/session-42/transcript.polished.md \
--input structured_events=/work/session-42/artifacts/structured_events.json \
--out /work/session-42/artifacts/player_summary.md
```
## 21. Non-Goals
Initial Narratio integration should not:
- call Scriptorium internal Go packages
- use HTTP API as the primary path
- expect Scriptorium to read S3 refs directly
- make Scriptorium responsible for Narratio stage state
- make Scriptorium responsible for notification
- require Scriptorium to understand D&D workflow semantics beyond prompt definitions
## 22. Future Extension Notes
Possible later extensions:
- HTTP API integration
- S3 artifact references if Scriptorium adds S3 reader support
- storing render diagnostics alongside generated artifacts
- token budgeting/prompt-size checks
- batch execution if Scriptorium later adds batch support

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# seriatim
`seriatim` merges per-speaker WhisperX-style JSON transcripts into a single JSON transcript that preserves speaker identity and chronological order.
The current implementation supports the `merge` command. It reads one or more input JSON files, optionally maps each input file to a canonical speaker using `speakers.yml`, sorts all segments by timestamp, detects and resolves overlaps when word-level timing is available, assigns consecutive numeric `id` values, and writes a merged JSON artifact.
## Usage
Run from source:
```sh
go run ./cmd/seriatim merge \
--input-file samples/raw/2026-04-19-Eric_Rakestraw.json \
--input-file samples/raw/2026-04-19-Mike_Brown.json \
--output-file merged.json
```
Optional report output:
```sh
go run ./cmd/seriatim merge \
--input-file eric.json \
--input-file mike.json \
--output-file merged.json \
--report-file report.json
```
## CLI
```text
seriatim merge [flags]
```
Global flags:
| Flag | Description |
| --- | --- |
| `--help` | Show command help. |
| `--version` | Show application version. Local builds default to `dev`; release builds inject the release version. |
`merge` flags:
| Flag | Required | Default | Description |
| --- | --- | --- | --- |
| `--input-file` | Yes | none | Input transcript JSON file. Repeat once per speaker/input file. |
| `--output-file` | Yes | none | Merged transcript JSON output path. |
| `--report-file` | No | none | Optional report JSON output path. |
| `--speakers` | No | none | Speaker map YAML file. When omitted, input file basenames are used as speaker labels. |
| `--autocorrect` | No | none | Autocorrect rules YAML file. When omitted, the default `autocorrect` module leaves text unchanged. |
| `--input-reader` | No | `json-files` | Input reader module. |
| `--output-modules` | No | `json` | Comma-separated output modules. |
| `--output-schema` | No | `seriatim-intermediate` | JSON output contract. Allowed values are `seriatim-minimal`, `seriatim-intermediate`, and `seriatim-full`. If omitted, the runtime default is used; consumers that depend on a specific shape should set this explicitly. |
| `--preprocessing-modules` | No | `validate-raw,normalize-speakers,trim-text` | Comma-separated preprocessing modules, evaluated in order. |
| `--postprocessing-modules` | No | `detect-overlaps,resolve-overlaps,backchannel,filler,resolve-danglers,coalesce,detect-overlaps,autocorrect,assign-ids,validate-output` | Comma-separated postprocessing modules, evaluated in order. |
| `--coalesce-gap` | No | `3.0` | Maximum same-speaker gap in seconds for `coalesce`; also used as the `resolve-overlaps` context window. Must be a non-negative float. |
Environment variables:
| Environment Variable | Default | Description |
| --- | --- | --- |
| `SERIATIM_OUTPUT_SCHEMA` | `seriatim-intermediate` | Output schema used when `--output-schema` is not explicitly provided. Allowed values are `seriatim-minimal`, `seriatim-intermediate`, and `seriatim-full`. The CLI flag takes precedence. |
| `SERIATIM_OVERLAP_WORD_RUN_GAP` | `1.0` | Maximum gap in seconds between adjacent timed words when `resolve-overlaps` builds word-run replacement segments. Must be a positive float. |
| `SERIATIM_OVERLAP_WORD_RUN_REORDER_WINDOW` | `1.0` | Near-start window in seconds for ordering replacement word runs shortest-first. Must be a positive float. |
| `SERIATIM_BACKCHANNEL_MAX_DURATION` | `2.0` | Maximum duration in seconds for `backchannel` classification. Must be a positive float. |
| `SERIATIM_FILLER_MAX_DURATION` | `1.25` | Maximum duration in seconds for `filler` classification. Must be a positive float. |
## Input JSON Format
Each input file must be valid JSON with a top-level `segments` array. The current parser accepts the WhisperX segment subset needed for merging:
```json
{
"segments": [
{
"start": 1.25,
"end": 3.5,
"text": "Hello there.",
"words": [
{"word": "Hello", "start": 1.25, "end": 1.55, "score": 0.98},
{"word": "there.", "start": 1.7, "end": 2.0}
]
}
]
}
```
Required segment fields:
- `start`: number, must be `>= 0`.
- `end`: number, must be `>= start`.
- `text`: string.
Optional word fields:
- `words`: array of word timing objects.
- `words[].word`: string.
- `words[].start`: optional number, must be `>= 0` when present.
- `words[].end`: optional number, must be `>= start` when present with `start`.
- `words[].score`: optional number.
- `words[].speaker`: optional raw speaker label string.
Word-level timing is preserved internally for overlap resolution. If a word is missing `start` or `end`, seriatim keeps the word text, emits a warning in the optional report, and does not use that word as a timing anchor. Word timing is not emitted in the final JSON artifact.
## Speaker Map Format
`speakers.yml` maps input files to canonical speaker names using ordered substring rules:
This file is optional. If `--speakers` is omitted, `seriatim` uses each input file basename as the segment speaker label.
```yaml
match:
- speaker: "Eric Rakestraw"
match:
- "Eric_Rakestraw"
- "Eric"
- speaker: "Mike Brown"
match:
- "Mike_Brown"
- "mb"
```
For each `--input-file`, `seriatim` takes the file basename and evaluates the rules in order. The first rule with a matching substring wins, and no later rules are evaluated.
For example, this input:
```text
samples/raw/2026-04-19-Eric_Rakestraw.json
```
matches this rule because the basename contains `Eric_Rakestraw`:
```yaml
- speaker: "Eric Rakestraw"
match:
- "Eric_Rakestraw"
```
Important details:
- Matching is against the input file basename, not the full path.
- Matching is case-insensitive.
- Rules are evaluated from first to last.
- Each rule must have a non-empty `speaker`.
- Each rule must have at least one non-empty `match` string.
- Duplicate speaker names are invalid.
- Every input file must match at least one rule or the command fails.
Deprecated old format:
```yaml
inputs:
eric.json:
speaker: "Eric Rakestraw"
```
The old `inputs:` direct mapping format is no longer supported.
## Output JSON Format
`--output-modules json` controls the writer. `--output-schema` controls the JSON contract that writer serializes.
The named schemas are stable public contracts. If a consumer depends on a specific shape, it should request that schema explicitly at runtime. The runtime default selection may change in a future release.
The `seriatim-intermediate` schema is the current default selection when neither `--output-schema` nor `SERIATIM_OUTPUT_SCHEMA` is set. It stays close to the minimal schema, but adds optional `categories` on each segment:
```json
{
"metadata": {
"application": "seriatim",
"version": "dev",
"output_schema": "seriatim-intermediate"
},
"segments": [
{
"id": 1,
"start": 1.25,
"end": 3.5,
"speaker": "Eric Rakestraw",
"text": "Hello there.",
"categories": ["backchannel"]
}
]
}
```
The `seriatim-full` schema uses the full seriatim envelope:
```json
{
"metadata": {
"application": "seriatim",
"version": "dev",
"input_reader": "json-files",
"input_files": ["eric.json", "mike.json"],
"preprocessing_modules": ["validate-raw", "normalize-speakers", "trim-text"],
"postprocessing_modules": ["detect-overlaps", "resolve-overlaps", "backchannel", "filler", "resolve-danglers", "coalesce", "detect-overlaps", "autocorrect", "assign-ids", "validate-output"],
"output_modules": ["json"]
},
"segments": [
{
"id": 1,
"source": "eric.json",
"source_segment_index": 0,
"speaker": "Eric Rakestraw",
"start": 1.25,
"end": 3.5,
"text": "Hello there.",
"overlap_group_id": 1
},
{
"id": 2,
"source": "eric.json",
"source_ref": "word-run:1:1:1",
"derived_from": ["eric.json#0"],
"speaker": "Eric Rakestraw",
"start": 2.0,
"end": 2.5,
"text": "Resolved word run",
"categories": ["backchannel"]
}
],
"overlap_groups": [
{
"id": 1,
"start": 1.25,
"end": 4.0,
"segments": ["eric.json#0", "mike.json#0"],
"speakers": ["Eric Rakestraw", "Mike Brown"],
"class": "unknown",
"resolution": "unresolved"
}
]
}
```
The `seriatim-minimal` schema emits minimal metadata and compact ordered segments:
```json
{
"metadata": {
"application": "seriatim",
"version": "dev",
"output_schema": "seriatim-minimal"
},
"segments": [
{
"id": 1,
"start": 1.25,
"end": 3.5,
"speaker": "Eric Rakestraw",
"text": "Hello there."
}
]
}
```
Minimal output intentionally omits categories, overlap groups, source/provenance fields, and pipeline configuration metadata.
Intermediate output intentionally omits overlap groups and source/provenance fields, but keeps optional `categories` and minimal metadata.
Segments are sorted deterministically by:
```text
(start, end, source, source_segment_index/source_ref, speaker)
```
Final segment IDs are assigned after sorting and start at `1`.
The public Go output contract is available from:
```go
import "gitea.maximumdirect.net/eric/seriatim/schema"
```
The same package embeds machine-readable JSON Schemas in `schema/full-output.schema.json`, `schema/intermediate-output.schema.json`, and `schema/minimal-output.schema.json`. The default `validate-output` postprocessor validates the selected output shape and verifies final segment IDs are present, sequential, and start at `1`.
## Overlap Detection
The default postprocessing pipeline detects overlapping segment groups.
Overlap behavior:
- A strict timing overlap is required: `next.start < current_group_end`.
- Segments that only touch at a boundary are not grouped.
- Groups require at least two distinct speakers.
- Transitive overlaps are grouped together.
- Segments in detected groups receive `overlap_group_id`.
- `overlap_groups[].segments` contains stable references in `source#source_segment_index` format.
- `class` is currently `unknown`.
- `resolution` is `unresolved` until `resolve-overlaps` replaces the group.
## Overlap Resolution
The default postprocessing pipeline runs `detect-overlaps`, then `resolve-overlaps`, then `backchannel`, then `filler`, then `resolve-danglers`, then `coalesce`, then a second `detect-overlaps` pass.
For each detected overlap group, `resolve-overlaps` uses preserved WhisperX word timing to build smaller word-run replacement segments:
- The resolution window expands the detected overlap group by `--coalesce-gap` seconds on both sides.
- Nearby same-speaker context segments are included when they intersect the expanded window and their start or end is within `--coalesce-gap` of the original overlap boundary.
- Once a segment is selected for replacement, all timed words from that segment participate in word-run construction; the window controls segment selection, not per-word clipping.
- Context segments that are part of another detected overlap group are not pulled into the current group.
- Untimed words are included in replacement text in original word order when nearby timed words create a replacement run.
- Untimed words do not affect replacement segment start/end times or word-run gap splitting.
- Words for the same speaker are merged into one run when the gap between adjacent words is no greater than `SERIATIM_OVERLAP_WORD_RUN_GAP`.
- The default word-run gap is `1.0` seconds.
- Set `SERIATIM_OVERLAP_WORD_RUN_GAP` to a positive number of seconds to override the default.
- Near-start replacement word runs are reordered so shorter segments come first when adjacent starts are within `SERIATIM_OVERLAP_WORD_RUN_REORDER_WINDOW`.
- The default word-run reorder window is `1.0` seconds.
- Set `SERIATIM_OVERLAP_WORD_RUN_REORDER_WINDOW` to a positive number of seconds to override the default.
- Replacement segment text is built by joining word text with single spaces.
- Replacement segments include `source_ref` and `derived_from`.
- Replacement segments omit `source_segment_index` because they are derived from one or more original segments.
- Resolved overlap groups are removed before the second detection pass.
- Replacement segments are left without `overlap_group_id` until the second detection pass annotates any remaining overlap.
- If a speaker has no usable word timing in a group, that speaker's original segment is kept.
- If no speakers in a group have usable word timing, the original group and annotations remain unchanged.
## Backchannels
The default pipeline runs `backchannel` before `coalesce`. It tags short acknowledgement segments with:
```json
"categories": ["backchannel"]
```
Backchannel matching is case-insensitive, ignores punctuation for matching and word-count purposes, trims surrounding whitespace, and requires a matching acknowledgement phrase, no more than three whitespace-delimited words, and duration no greater than `SERIATIM_BACKCHANNEL_MAX_DURATION` seconds. The default maximum duration is `2.0` seconds.
## Fillers
The default pipeline runs `filler` after `backchannel` and before `coalesce`. It tags short filler utterances with:
```json
"categories": ["filler"]
```
Filler matching is case-insensitive, ignores punctuation for matching and word-count purposes, trims surrounding whitespace, and requires only filler tokens such as `um`, `uh`, `er`, `erm`, `ah`, `eh`, `hmm`, `mm`, or repeated combinations of those tokens. Matching segments must contain no more than three whitespace-delimited words and have duration no greater than `SERIATIM_FILLER_MAX_DURATION` seconds. The default maximum duration is `1.25` seconds.
## Dangler Resolution
The default pipeline runs `resolve-danglers` before `coalesce` and before the second overlap detection pass. It repairs short derived fragments when they share provenance with a nearby segment:
- Dangling-end fragments have no more than two words and end in punctuation.
- Dangling-start fragments have no more than two words.
- Matching uses same-speaker segments with any shared `derived_from` value.
- Merged segments use `source_ref` values such as `resolve-danglers:1`, keep the target segment's transcript position, and union `derived_from`.
## Coalescing
The default pipeline runs `coalesce` after `resolve-danglers` and before the second overlap detection pass. It merges adjacent same-speaker segments in the transcript's current order when `next.start - current.end <= --coalesce-gap`.
Coalesced segments use `source_ref` values such as `coalesce:1`, include `derived_from`, and omit `source_segment_index`.
Different-speaker backchannel and filler segments do not block coalescing of surrounding same-speaker segments. Same-speaker backchannel and filler segments are merged normally when they are within `--coalesce-gap`. When same-speaker segments are coalesced, any `backchannel` or `filler` category from the merged inputs is dropped from the coalesced segment.
## Autocorrect
Autocorrect is included in the default postprocessing pipeline. If `--autocorrect` is omitted, the module leaves transcript text unchanged and records a skip event in the optional report.
Enable corrections by passing `--autocorrect`:
```sh
go run ./cmd/seriatim merge \
--input-file input.json \
--autocorrect autocorrect.yml \
--output-file merged.json
```
`autocorrect.yml` format:
```yaml
autocorrect:
- target: "Hrank"
match:
- "hrank"
- "Frank"
- target: "Mike Brown"
match:
- "Mike Pat"
```
Matching behavior:
- Matching is case-sensitive.
- Matches apply only to whole tokens, not substrings inside larger words.
- Punctuation and whitespace can surround a match.
- Multi-word and hyphenated matches are supported.
- Duplicate match strings are invalid, including duplicates across separate rules.
## Current Limitations
- Only JSON input is supported.
- Overlap resolution depends on WhisperX word timing; groups without usable word timing remain unresolved.
- Alternate output formats are not implemented yet.
## Release Builds
Local builds record version metadata as `dev`. Release builds should inject the release version with `ldflags`:
```sh
go build -ldflags "-X gitea.maximumdirect.net/eric/seriatim/internal/buildinfo.Version=v1.0.0" ./cmd/seriatim
```