Documentation update in advance of building the scriptorium integration
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docs/integrations/audita.md
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docs/integrations/audita.md
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# Audita
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Audita is a framework-first transcript correction application. The public `audita` package provides:
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- deterministic transcript normalization
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- token-batched module orchestration
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- concrete `glossary`, `homophones`, `spoken_word`, and `grammar` modules built on reusable proposal / validator contracts
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- structured run reporting and work-dir diagnostics
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The previous working implementation has been preserved as `audita_prototype` inside this repository. Its full regression suite lives under `tests/audita_prototype`.
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## Development
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This project is set up for `uv`.
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```sh
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uv sync --extra dev
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uv run pytest
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```
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## Usage
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Process a transcript with the current framework implementation:
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```sh
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uv run audita process transcript.json --glossary glossary.yaml --output corrected.json
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```
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The framework currently runs this default module sequence:
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1. `glossary`
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2. `homophones`
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3. `glossary`
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4. `spoken_word`
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5. `grammar`
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Resolved run instance names are auto-numbered for repeats, so the default report pipeline is:
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1. `glossary_1`
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2. `homophones`
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3. `glossary_2`
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4. `spoken_word`
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5. `grammar`
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The default module sequence is fully implemented today:
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- `glossary` proposes glossary-supported acoustic corrections
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- `homophones` proposes conservative homophone and mistranscription corrections
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- `spoken_word` proposes conservative dysfluency cleanup
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- `grammar` proposes punctuation, capitalization, and spacing cleanup only
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To run a custom module sequence, pass `--modules`:
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```sh
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uv run audita process transcript.json --glossary glossary.yaml --modules grammar --output corrected.json
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```
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To also write a structured JSON report:
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```sh
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uv run audita process transcript.json --glossary glossary.yaml --output corrected.json --report-json report.json
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```
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From a checked-out repository, you can also use the root launcher:
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```sh
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./audita process transcript.json --glossary glossary.yaml --output corrected.json
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```
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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`:
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```sh
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cd /usr/local/src/audita
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uv sync --extra dev
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ln -s /usr/local/src/audita/audita /usr/local/bin/audita
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audita process transcript.json --glossary glossary.yaml --output corrected.json
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```
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Without `--output`, Audita writes the corrected transcript JSON to stdout and progress logs to stderr.
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`--report-json` writes a separate machine-readable run report and never mixes report data into stdout.
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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.
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| Environment variable | CLI flag | Default | Purpose |
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| --- | --- | --- | --- |
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| `AUDITA_MODULES` | `--modules` | `glossary,homophones,glossary,spoken_word,grammar` | Comma-separated logical module keys to run; CLI overrides the environment value |
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| `AUDITA_LLM_API_KEY` | `--llm-api-key` | unset | Preferred provider-neutral LLM API credential; CLI overrides both environment-key variants |
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| `AUDITA_VALIDATION_LLM_API_KEY` | `--validation-llm-api-key` | unset | Validation-phase LLM API credential; defaults to the primary LLM API key |
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| `AUDITA_MODEL` | `--model` | `openrouter/google/gemma-4-31b-it` | LLM model name sent to the configured OpenAI-compatible endpoint |
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| `AUDITA_VALIDATION_MODEL` | `--validation-model` | unset | Validation-phase LLM model; defaults to `AUDITA_MODEL` |
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| `AUDITA_BASE_URL` | `--base-url` | `https://openrouter.ai/api/v1` | OpenAI-compatible API base URL |
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| `AUDITA_VALIDATION_BASE_URL` | `--validation-base-url` | unset | Validation-phase OpenAI-compatible API base URL; defaults to `AUDITA_BASE_URL` |
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| `AUDITA_LLM_TIMEOUT_SECONDS` | `--llm-timeout-seconds` | `600` | Per-request timeout in seconds for LLM calls to the configured OpenAI-compatible endpoint |
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| `AUDITA_VALIDATION_LLM_TIMEOUT_SECONDS` | `--validation-llm-timeout-seconds` | unset | Validation-phase per-request timeout in seconds; defaults to `AUDITA_LLM_TIMEOUT_SECONDS` |
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| `AUDITA_VALIDATION_MAX_PROMPT_TOKENS` | `--validation-max-prompt-tokens` | `2048` | Maximum estimated tokens per validation-phase LLM prompt batch |
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| `AUDITA_TARGET_SECTIONS` | `--target-sections` | unset | Exact number of contiguous proposal-stage transcript sections; errors if min/max token bounds cannot be satisfied |
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| `AUDITA_MAX_RETRIES` | `--max-retries` | `3` | Maximum Instructor retries for structured responses |
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| `AUDITA_VALIDATION_MAX_RETRIES` | `--validation-max-retries` | unset | Validation-phase structured-output retries; defaults to `AUDITA_MAX_RETRIES` |
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| `AUDITA_VALIDATION_LLM_CONCURRENCY` | `--validation-llm-concurrency` | unset | Validation-phase LLM concurrency; defaults to `AUDITA_LLM_CONCURRENCY` |
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| `AUDITA_MAX_SECTION_TOKENS` | `--max-section-tokens` | `8192` | Maximum estimated tokens per proposal-stage transcript section |
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| `AUDITA_MIN_SECTION_TOKENS` | `--min-section-tokens` | `2048` | Minimum estimated tokens per proposal-stage transcript section when balancing for concurrency |
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| `AUDITA_GLOSSARY_CONFIDENCE_THRESHOLD` | `--glossary-confidence-threshold` | `0.8` | Minimum confidence required for glossary proposals to survive validation |
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| `AUDITA_GRAMMAR_CONFIDENCE_THRESHOLD` | `--grammar-confidence-threshold` | `0.8` | Minimum confidence required for grammar proposals to survive validation |
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| `AUDITA_HOMOPHONES_CONFIDENCE_THRESHOLD` | `--homophones-confidence-threshold` | `0.8` | Minimum confidence required for homophone proposals to survive validation |
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| `AUDITA_SPOKEN_WORD_CONFIDENCE_THRESHOLD` | `--spoken-word-confidence-threshold` | `0.8` | Minimum confidence required for spoken-word proposals to survive validation |
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| `AUDITA_NORMALIZE_MAX_SEGMENT_GAP` | `--normalize-max-segment-gap` | `4.0` | Same-speaker gaps eligible for deterministic merging |
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| `AUDITA_NORMALIZE_ELLIPSIS_GAP` | `--normalize-ellipsis-gap` | `3.5` | Same-speaker gaps above this value are joined with ` ... ` |
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| `AUDITA_NORMALIZE_MAX_SEGMENT_DURATION` | `--normalize-max-segment-duration` | `60.0` | Maximum merged segment duration |
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| `AUDITA_NORMALIZE_MAX_SEGMENT_TOKENS` | `--normalize-max-segment-tokens` | `2048` | Maximum merged segment prompt payload size |
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| `AUDITA_WORK_DIR` | `--work-dir` | `/tmp/audita` | Per-run scratch diagnostics directory |
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| `AUDITA_WORK_DIR_RETENTION` | `--work-dir-retention` | `auto` | Whether to retain the per-run work directory: `auto`, `always`, or `never` |
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Set `AUDITA_MODULES=grammar` to run only the grammar module by default, or override it per command with `--modules`.
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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.
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OpenRouter remains the default out of the box:
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```sh
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export AUDITA_LLM_API_KEY=your-openrouter-key
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audita process transcript.json --glossary glossary.yaml --output corrected.json
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```
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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:
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```sh
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export AUDITA_LLM_API_KEY=local-dev-key
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export AUDITA_BASE_URL=http://localhost:8000/v1
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export AUDITA_MODEL=meta-llama/Llama-3.1-8B-Instruct
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audita process transcript.json --glossary glossary.yaml --output corrected.json
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```
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Or the actual OpenAI API:
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```sh
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export AUDITA_LLM_API_KEY=your-openai-key
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export AUDITA_BASE_URL=https://api.openai.com/v1
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export AUDITA_MODEL=gpt-4.1-mini
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audita process transcript.json --glossary glossary.yaml --output corrected.json
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```
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`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.
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Failed runs always preserve the run directory and include an authoritative `report.json` alongside normalization and prompt/response diagnostics.
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## Prototype Archive
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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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322
docs/integrations/scriptorium.md
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docs/integrations/scriptorium.md
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# Narratio -> Scriptorium CLI Integration
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## 1. Purpose
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This document defines how Narratio should invoke Scriptorium through the **public CLI**.
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This is a **subprocess integration contract**, not an internal Go API contract.
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## 2. Assumptions
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- `scriptorium` is installed and available on `PATH`.
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- Scriptorium is configured with `config.yml`.
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- `config.yml` provides `prompt_dir`, `profile_dir`, and `schema_dir` as needed.
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- Prompt and profile libraries are already deployed for the environment.
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- Narratio provides prepared artifact files (for example polished transcript, glossary, previous recap, campaign notes).
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- Initial integration is synchronous subprocess execution.
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- Narratio remains the orchestrator.
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In normal operation, Narratio does not need to pass `--prompt-dir` and `--profile-dir` if they are supplied by Scriptorium config.
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Narratio may pass `--config <PATH>` when it must use a non-default Scriptorium config file.
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## 3. Core Commands Narratio May Call
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Primary commands for subprocess integration:
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- `scriptorium run`
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- `scriptorium render`
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For production generation, use `scriptorium run`.
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`scriptorium render` is for debugging, dry-runs, test assertions, and validating command construction without LLM execution.
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Note: `scriptorium serve` and HTTP API exist, but they are not the initial integration path.
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## 4. Command Selection Guidance
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- Use `run` to generate an output artifact.
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- Use `render` to inspect the prepared prompt and effective settings without calling the LLM.
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- Use `render --format json` when Narratio/tests need structured prepare output.
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## 5. Recommended `run` Invocation Shape
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Production shape:
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```bash
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scriptorium run \
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--prompt <prompt_id> \
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--input transcript=<processed-transcript-path> \
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--out <output-artifact-path>
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```
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Common optional additions:
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- `--config <path>`: use a specific Scriptorium config file.
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- `--profile <profile_id>`: override prompt default profile.
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- `--var name=value` (repeatable): small metadata values.
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- `--input name=path` (repeatable): additional named artifacts.
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- `--timeout <duration>`: per-run timeout override.
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- Runtime model override flags (`--llm-base-url`, `--model`, etc.) only for exceptional/operator-directed cases.
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## 6. Recommended `render` Invocation Shape
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Human-readable debug shape:
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```bash
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scriptorium render \
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--prompt <prompt_id> \
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--input transcript=<processed-transcript-path> \
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--format text
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```
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Structured debug/test shape:
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```bash
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scriptorium render \
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--prompt <prompt_id> \
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--input transcript=<processed-transcript-path> \
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--format json \
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--out <render-debug-path>
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```
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`render` does **not** call the LLM, does **not** validate model output, and does **not** perform repair.
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## 7. Inputs
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- Pass inputs as repeated `--input name=path` flags.
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- `name` must match the Prompt Definition input name.
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- Prefer absolute paths, or paths relative to a working directory controlled by Narratio.
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- Pass Audita output as the primary transcript input.
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- Additional inputs may include glossary, previous recap, campaign notes, event logs, final state maps, or other prompt-specific artifacts.
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- Scriptorium reads input files directly; Narratio does not need to inline file content for CLI use.
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## 8. Variables
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Use repeated `--var name=value` for small metadata values.
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Typical examples:
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- `session_date`
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- `session_id`
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- `campaign_name`
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- `previous_session_id`
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- `output_kind`
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Large content belongs in input files, not `--var` values.
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## 9. Prompt IDs and Output Artifact Types
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Narratio should treat prompt IDs as configuration, not hardcoded business logic.
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Narratio config may map stage/output names to prompt IDs, for example:
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- session recap prompt
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- structured event extraction prompt
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- glossary suggestion prompt
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- player-facing summary prompt
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Prompt IDs used by Narratio should come from the deployed Scriptorium prompt library.
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## 10. Profiles
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- Prompts may declare `default_profile`.
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- Narratio may omit `--profile` to use prompt default profile.
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- Narratio may pass `--profile` to force profile selection.
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- This enables environment/profile selection like `local-fast`, `local-quality`, `frontier`, `batch`, or test profiles.
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- Profile names should generally be Narratio configuration values.
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## 11. Runtime Overrides
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Supported runtime override flags:
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- `--llm-base-url`
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- `--model`
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- `--api-key-env`
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- `--temperature`
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- `--max-tokens`
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- `--top-p`
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- `--timeout`
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Guidance:
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- Keep normal model/runtime settings in Execution Profiles.
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- Use runtime overrides only for explicit per-run exceptions, tests, or operator overrides.
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- Never pass raw API keys on the command line.
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- `--api-key-env` names an environment variable; Narratio must ensure that variable is set in subprocess environment.
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## 12. Config Behavior
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- Default config path: `/etc/scriptorium/config.yml`.
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- `--config <PATH>` overrides default path.
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- Missing default config is allowed by Scriptorium.
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- If `--config` is provided explicitly, the file must exist and be valid.
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- CLI flags override `config.yml`.
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- `config.yml` overrides built-in application defaults.
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Narratio can either:
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- rely on system default config path, or
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- carry an explicit config path and pass `--config`.
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## 13. Environment Handling
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Subprocess environment recommendations:
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- Pass through required API-key environment variables referenced by `api_key_env`.
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- Do not pass raw API keys as CLI arguments.
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- Avoid logging full environment dumps.
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- Capture stdout and stderr separately.
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- Use a controlled working directory.
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- Prefer absolute artifact paths.
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## 14. Output Handling
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For `scriptorium run`:
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- Use `--out` when Narratio needs durable artifact files.
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- Without `--out`, artifact content is written to stdout.
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- Preferred orchestration pattern: always use `--out`, then treat the file as stage output artifact.
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- Capture stderr for diagnostics.
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For `scriptorium render`:
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- Use `--out` to store render diagnostics.
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||||
- Use `--format json` when tests need to inspect selected profile, effective runtime settings, input hashes, prompt hash, and rendered messages.
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## 15. Exit Status and Errors
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Current CLI behavior (verified from implementation/tests):
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- `0`: success.
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- `1`: runtime/parse/config/load/render/generation/IO error.
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||||
- `2`: run completed but output validation failed (`ValidationFailed`).
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Additional details:
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- On `run`, output artifact write happens before exit code selection. If validation fails, artifact may still be written and exit code is `2`.
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- `stderr` carries both errors and normal run summary output; non-empty stderr alone does not imply failure.
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- `render` returns `0` on success and `1` on failures.
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||||
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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.
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## 16. Recommended Narratio Integration Pattern
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1. Build CLI args from Narratio stage configuration.
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2. Use subprocess context cancellation/timeout.
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3. Pass absolute input paths.
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4. Pass `--out` to a session-scoped artifact path.
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5. Add `--var` metadata values.
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6. Optionally add `--config`.
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||||
7. Optionally add `--profile`.
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||||
8. Ensure required API-key env vars are present.
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9. Run subprocess synchronously.
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10. Capture stdout/stderr separately.
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||||
11. On success, store output artifact path and invocation metadata in stage artifacts.
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12. On failure, store exit code and stderr diagnostics in stage status.
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## 17. Suggested Narratio Configuration Shape
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Illustrative (not required schema):
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```yaml
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scriptorium:
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config_path: /etc/scriptorium/config.yml
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stages:
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session_recap:
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prompt_id: dnd.session_recap
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profile_id: local-quality # optional
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inputs: [transcript, glossary, previous_recap]
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vars: [session_id, session_date, campaign_name]
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output_path_template: artifacts/{session_id}/session_recap.md
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timeout: 2m
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render_debug: false
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```
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||||
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||||
The key idea: map Narratio stage/artifact names to prompt ID, optional profile, expected inputs, and output destination.
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||||
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||||
## 18. Testing Strategy for Narratio Integration
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||||
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||||
- Use `scriptorium render --format json` to verify command construction without LLM calls.
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||||
- Use dedicated test prompt/profile libraries for integration tests.
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||||
- Use small fixture transcripts.
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||||
- Verify missing-input failure behavior.
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||||
- Verify prompt `default_profile` behavior.
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||||
- Verify explicit `--profile` override behavior.
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||||
- Verify `--config` behavior (default and explicit).
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||||
- Verify output file creation when `--out` is used.
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||||
- Verify stderr capture on failures.
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||||
- Avoid real API keys in tests.
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||||
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||||
## 19. Security and Privacy Notes
|
||||
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||||
- Never pass raw API keys on command line.
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||||
- Do not log full rendered prompts by default; transcripts may contain sensitive content.
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||||
- Avoid logging prompt content unless explicit debug mode is enabled.
|
||||
- Treat generated artifacts as potentially sensitive.
|
||||
- Use session-scoped, access-controlled output paths.
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||||
- `api_key_env` names should come from environment management, not embedded secrets.
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||||
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||||
## 20. Initial D&D Artifact Generation Examples
|
||||
|
||||
These are examples only. Use prompt IDs from the deployed prompt library.
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||||
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||||
Session recap:
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||||
|
||||
```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
|
||||
403
docs/integrations/seriatim.md
Normal file
403
docs/integrations/seriatim.md
Normal file
@@ -0,0 +1,403 @@
|
||||
# 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
|
||||
```
|
||||
Reference in New Issue
Block a user