51 lines
1.7 KiB
Markdown
51 lines
1.7 KiB
Markdown
# Audita
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Audita takes raw audio transcripts and uses an LLM to identify and fix misheard words, jargon, and domain-specific terms.
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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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Set an OpenRouter API key, then process a transcript with a glossary:
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```sh
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export OPENROUTER_API_KEY=...
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uv run audita process transcript.json --glossary glossary.yaml --output corrected.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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Useful configuration can be supplied by CLI flag or environment variable:
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- `AUDITA_MODEL`, default `openrouter/mistralai/mistral-small-3.2-24b-instruct`
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- `AUDITA_BASE_URL`, default `https://openrouter.ai/api/v1`
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- `AUDITA_MAX_SECTION_TOKENS`, default `16000`
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- `AUDITA_CONFIDENCE_THRESHOLD`, default `0.60`
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- `AUDITA_MAX_RETRIES`, default `3`
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- `AUDITA_GLOSSARY_MAX_LLM_PASSES`, default `3`, for total glossary correction passes
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- `AUDITA_WORK_DIR`, default `/tmp/audita`
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`AUDITA_WORK_DIR` stores per-run diagnostics while processing. Successful runs clean up their run directory unless corrections are skipped for target mismatches; failed runs and skipped-correction runs preserve diagnostics for debugging.
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