- Change GenerationConfig from dataclass to Pydantic BaseModel for consistency
- Simplify _build_msg() to use model_dump(exclude_none=True) instead of manual field extraction
- Simplify HTTP run_tts() to use model_dump(exclude_none=True) instead of manual field extraction
This addresses feedback from code review and reduces code duplication.
Add GenerationConfig dataclass with volume, speed, and emotion parameters
for Cartesia Sonic-3 TTS models. This enables fine-grained control over
speech generation including volume (0.5-2.0), speed (0.6-1.5), and
emotion (60+ options).
Changes:
- Add GenerationConfig dataclass with proper Google-style docstrings
- Update CartesiaTTSService.InputParams to include generation_config
- Update CartesiaHttpTTSService.InputParams to include generation_config
- Modify _build_msg() to include generation_config in WebSocket messages
- Modify run_tts() to include generation_config in HTTP requests
- Maintain backward compatibility with existing speed and emotion parameters
The legacy speed (literal strings) and emotion (list) parameters remain
available for non-Sonic-3 models.
This wasn't really an issue before, when folks were *knowingly* migrating from `OpenAILLMContext` to `LLMContext`. But in the latest AWS Nova Sonic change, we're swapping it out from under folks, so this kind of compatibility is more important.
For context, the reason we *didn't* offer the `messages` property earlier was to aid in the development of `LLMContext`—we wanted to draw attention to all the places where messages were being read from context, so we could find the places where we might need to pass an argument to the read.
The reason for its `system_instruction` argument was to support usage with LLMs where you might pass the system instruction as a parameter to the `LLMService` rather than specifying it in the context.
But as I thought about it more I became unconvinced that the `system_instruction` argument was really beneficial:
- If you specified your system instruction in your context in the first place, it'll still be there when you read messages for persistent storage
- If you didn't specify your system instruction in the context and instead passed it in as an `LLMService` parameter, you most likely *don't* want it to be in the context when you read messages for persistent storage
- ...and if you really really do need to inject it at the start of the context, it's quite easy to do anyway
And if we remove the `system_instruction` argument from `get_messages_for_persistent_storage()`, then it's essentially just `get_messages()`.