- Introduced `asr_interim_enabled` field in the Assistant model to control interim ASR results.
- Updated AssistantBase and AssistantUpdate schemas to include the new field.
- Modified the database schema to add the `asr_interim_enabled` column.
- Enhanced runtime metadata to reflect interim ASR settings.
- Updated API endpoints and tests to validate the new functionality.
- Adjusted documentation to include details about interim ASR results configuration.
- Added DashScope ASR service implementation for real-time streaming.
- Updated ASR provider logic to support DashScope alongside existing providers.
- Enhanced runtime metadata resolution to include DashScope as a valid ASR provider.
- Modified configuration files and documentation to reflect the addition of DashScope.
- Introduced tests to validate DashScope integration and ASR service behavior.
- Refactored ASR service factory to accommodate new provider options and modes.
- Expanded package inclusion in `pyproject.toml` to support new modules.
- Introduced new `adapters` and `protocol` packages for better organization.
- Added backend adapter implementations for control plane integration.
- Updated main application imports to reflect new package structure.
- Removed deprecated core components and adjusted documentation accordingly.
- Enhanced architecture documentation to clarify the new runtime and integration layers.
- Removed the backend client compatibility wrapper and associated methods to streamline backend integration.
- Updated session management to utilize control plane gateways and runtime configuration providers.
- Adjusted TTS service implementations to remove the EdgeTTS service and simplify service dependencies.
- Enhanced documentation to reflect changes in backend integration and service architecture.
- Updated configuration files to remove deprecated TTS provider options and clarify available settings.
- Updated .env.example to clarify audio frame size validation and default codec settings.
- Refactored logging setup in main.py to support JSON serialization based on log format configuration.
- Improved session.py to dynamically compute audio frame bytes and include protocol version in session events.
- Added tests to validate session start events and audio frame handling based on chunk size settings.
- Removed duplicate entry for Thumbs.db in .gitignore to streamline ignored files.
- Added a new audio example file: three_utterances_simple.wav to the audio_examples directory.
- Removed legacy agent profile settings from the .env.example and README, streamlining the configuration process.
- Introduced a new local YAML configuration adapter for assistant settings, allowing for easier management of assistant profiles.
- Updated backend integration documentation to clarify the behavior of assistant config sourcing based on backend URL settings.
- Adjusted various service implementations to directly utilize API keys from the new configuration structure.
- Enhanced test coverage for the new local YAML adapter and its integration with backend services.
- Introduced `output.audio.played` message type for client acknowledgment of audio playback completion.
- Updated `DuplexPipeline` to track client playback state and handle playback completion events.
- Enhanced session handling to route `output.audio.played` messages to the pipeline.
- Revised API documentation to include details about the new message type and its fields.
- Updated schema documentation to reflect the addition of `output.audio.played` in the message flow.
- Updated Dockerfile for the API to include build tools for C++11 required for native extensions.
- Revised requirements.txt to upgrade several dependencies, including FastAPI and SQLAlchemy.
- Expanded docker-compose.yml to add MinIO service for S3-compatible storage and improved health checks for backend and engine services.
- Enhanced README.md in the Docker directory to provide detailed service descriptions and quick start instructions.
- Updated mkdocs.yml to reflect new navigation structure and added deployment overview documentation.
- Introduced new Dockerfiles for the engine and web services, including development configurations for hot reloading.
- Introduced logic to trigger a follow-up turn when the manual opener greeting is empty.
- Updated `_execute_manual_opener_tool_calls` to return structured tool call and result data.
- Added `_build_manual_opener_follow_up_context` method to construct context for follow-up turns.
- Modified `_handle_turn` to accept system context for improved conversation management.
- Enhanced tests to validate the new follow-up behavior and ensure proper context handling.
- Introduced `manual_opener_tool_calls` field in the Assistant model to support custom tool calls.
- Updated AssistantBase and AssistantUpdate schemas to include the new field.
- Implemented normalization and migration logic for handling manual opener tool calls in the API.
- Enhanced runtime metadata to include manual opener tool calls in responses.
- Updated tests to validate the new functionality and ensure proper handling of tool calls.
- Refactored tool ID normalization to support legacy tool names for backward compatibility.
