user_update.txt

I have completed the implementation of the "🎙️ Edge TTS" feature. Your agents can now generate high-quality speech using Microsoft Edge's Text-to-Speech service.

**Summary of Changes:**

1.  **`edge-tts` Dependency:** The `edge-tts` Python library has been added to `requirements.txt` and installed.
2.  **EdgeTTSTool (`tools/voice_tools.py`):**
    *   A new `EdgeTTSTool` class has been implemented.
    *   It allows agents to convert text into spoken audio (MP3 format) and save it to a specified file.
    *   It supports customization of voice, rate, and volume.
    *   Path validation is included to prevent path traversal vulnerabilities when specifying the output file.
3.  **Agent Integration (`src/agent.py`):**
    *   The `EdgeTTSTool` has been added to the `Agent`'s `available_tools` dictionary, making it accessible for planning and execution.

**How to Use:**

An agent can now use the `edge_tts` tool in its plans. For example, to synthesize speech:

```json
{
  "tool": "edge_tts",
  "args": {
    "text": "Hello, this is your agent speaking.",
    "output_file_path": "output/hello.mp3",
    "voice": "en-US-JennyNeural",
    "rate": "+10%",
    "volume": "+50%"
  }
}
```
This tool does not require any API keys or specific configurations in `.env` or the dashboard as it leverages a local (or emulated local) TTS service.

This completes another major feature from your list.

Please review the list of features you provided earlier and let me know which one you would like me to work on next.