# matrx_ai.processing.audio — Module Overview


## IMPORTANT: Do not edit auto-generated sections.

> This document is partially auto-generated. Sections tagged `<!-- AUTO:id -->` are refreshed by the generator.
> Everything else is yours to edit freely and will never be overwritten.

<!-- AUTO:meta -->
## About This Document

This file is **partially auto-generated**. Sections wrapped in `<!-- AUTO:id -->` tags
are overwritten each time the generator runs. Everything else is yours to edit freely.

| Field | Value |
|-------|-------|
| Module | `matrx_ai/processing/audio` |
| Last generated | 2026-04-07 11:38 |
| Output file | `matrx_ai/processing/audio/MODULE_README.md` |
| Signature mode | `signatures` |

**To refresh auto-sections:**
```bash
python utils/code_context/generate_module_readme.py matrx_ai/processing/audio --mode signatures
```

**To add permanent notes:** Write anywhere outside the `<!-- AUTO:... -->` blocks.
<!-- /AUTO:meta -->

<!-- HUMAN-EDITABLE: This section is yours. Agents & Humans can edit this section freely — it will not be overwritten. -->

## Architecture

> **Fill this in.** Describe the execution flow and layer map for this module.
> See `utils/code_context/MODULE_README_SPEC.md` for the recommended format.
>
> Suggested structure:
>
> ### Layers
> | File | Role |
> |------|------|
> | `entry.py` | Public entry point — receives requests, returns results |
> | `engine.py` | Core dispatch logic |
> | `models.py` | Shared data types |
>
> ### Call Flow (happy path)
> ```
> entry_function() → engine.dispatch() → implementation()
> ```


<!-- AUTO:tree -->
## Directory Tree

> Auto-generated. 6 files across 1 directories.

```
matrx_ai/processing/audio/
├── MODULE_README.md
├── __init__.py
├── audio_preprocessing.py
├── audio_support.py
├── groq_transcription.py
├── transcription_cache.py
# excluded: 1 .md
```
<!-- /AUTO:tree -->

<!-- AUTO:signatures -->
## API Signatures

> Auto-generated via `output_mode="signatures"`. ~5-10% token cost vs full source.
> For full source, open the individual files directly.

```
---
Filepath: matrx_ai/processing/audio/groq_transcription.py  [python]

  class GroqSTT:
      async def execute(self, request: STTRequest, profile: ResolvedCallProfile) -> STTResult

---
Filepath: matrx_ai/processing/audio/stt.py  [python]

  class STTClient(Protocol)
  class STTRequest(BaseModel)
  class STTUsage(BaseModel)
      def to_token_usage(self) -> TokenUsage
  class STTResult(BaseModel)
  async def execute_stt(request: STTRequest) -> STTResult
  def duration_to_stt_input_units(usage_basis: str, billed_seconds: float) -> int


---
Filepath: matrx_ai/processing/audio/audio_preprocessing.py  [python]

  async def preprocess_audio_in_messages(messages: MessageList, debug: bool = False, *, supports_audio_input: bool) -> tuple[MessageList, list[TokenUsage]]
  def should_preprocess_audio(messages: MessageList, *, supports_audio_input: bool) -> bool


---
Filepath: matrx_ai/processing/audio/__init__.py  [python]



---
Filepath: matrx_ai/processing/audio/transcription_cache.py  [python]

  class CachedTranscription:
  class TranscriptionCache:
      def __init__(self)
      def _generate_key(self, audio_source: str, model: str, language: str | None) -> str
      def get(self, audio_source: str, model: str, language: str | None) -> CachedTranscription | None
      def set(self, audio_source: str, model: str, language: str | None, text: str, metadata: dict[str, Any]) -> None
      def clear(self) -> None
      def size(self) -> int
  def get_cache() -> TranscriptionCache
  def clear_cache() -> None


```
<!-- /AUTO:signatures -->

<!-- AUTO:callers -->
## Upstream Callers

> Auto-discovered by scanning all project files that import from this module.
> Set `ENTRY_POINTS` in `generate_readme.py` to pin specific functions.

| Caller | Calls |
|--------|-------|
| `matrx_ai/processing/__init__.py` | `CachedTranscription()` |
| `matrx_ai/config/media_config.py` | `execute_stt()` |
| `matrx_ai/graph_nodes/transcribe_action.py` | `execute_stt()` |
| `matrx_ai/processing/__init__.py` | `TranscriptionCache()` |
| `matrx_ai/processing/__init__.py` | `TranscriptionResult()` |
| `matrx_ai/processing/__init__.py` | `TranscriptionUsage()` |
| `matrx_ai/processing/__init__.py` | `clear_cache()` |
| `matrx_ai/config/media_config.py` | `get_cache()` |
| `matrx_ai/processing/__init__.py` | `get_cache()` |
| `matrx_ai/processing/__init__.py` | `preprocess_audio_in_messages()` |
| `matrx_ai/providers/unified_client.py` | `preprocess_audio_in_messages()` |
| `matrx_ai/processing/__init__.py` | `should_preprocess_audio()` |
| `matrx_ai/providers/unified_client.py` | `should_preprocess_audio()` |
<!-- /AUTO:callers -->

<!-- AUTO:dependencies -->
## Dependencies

**External packages:** groq, matrx_utils
**Internal modules:** matrx_ai.config, matrx_ai.media
<!-- /AUTO:dependencies -->

<!-- AUTO:config -->
## Generation Config

> Auto-managed. Contains the exact parameters used to generate this README.
> Used by parent modules to auto-refresh this file when it is stale.
> Do not edit manually — changes will be overwritten on the next run.

```json
{
  "subdirectory": "matrx_ai/processing/audio",
  "mode": "signatures",
  "scope": null,
  "project_noise": null,
  "include_call_graph": false,
  "entry_points": null,
  "call_graph_exclude": [
    "tests"
  ],
  "signatures_exclude": [
    "tests",
    "db",
    "local_data",
    "docs"
  ]
}
```
<!-- /AUTO:config -->
