The class_decorators.py module (Traceable, @traceable, @traced) is not
used anywhere in the codebase. Mark it deprecated and fix the misleading
comment in service_decorators.py that referenced it as if it were active.
Consolidate _tracing_enabled and _tracing_context from LLMService,
STTService, and TTSService into the shared AIService base class.
Extract _get_turn_context() helper in service_decorators.py to
encapsulate the repeated pattern across all traced decorators.
Add model-specific params (arcana: repetition_penalty, temperature, top_p;
mistv2: no_text_normalization, save_oovs, segment) with dynamic query param
building via _build_settings(). Model/voice/param changes now trigger
WebSocket reconnection since all settings are URL query params.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This allows non-websocket STT services (like SarvamSTTService, which uses
the Sarvam Python SDK for connection management) to reuse the same keepalive
pattern. Subclasses override _send_keepalive() and _is_keepalive_ready() for
their specific protocol.
ConversationContextProvider and TurnContextProvider were singletons that
stored tracing context as class-level state. When two PipelineTask instances
ran concurrently, they would overwrite each other's context, causing service
spans to attach to the wrong pipeline's turn span.
Replace both singletons with a single TracingContext object owned by each
PipelineTask, threaded to services via StartFrame.
The Grok API now returns prefixed voice names (e.g. "human_Ara") in
session.updated events, causing Pydantic validation errors. Widen the
voice field type from GrokVoice to GrokVoice | str to accept both
user-facing names and server-returned values.
Extract the procedural PR workflow into an actionable skill that can be
invoked with /pr-submit. CLAUDE.md is better suited for project context
and conventions, not step-by-step procedures.
Expand the Pull Requests section with detailed step-by-step instructions
including branch naming, commit guidance, changelog generation, and PR
description updates.
OpenAI's AsyncStream uses close() while async generators (e.g. from
OpenPipe) use aclose(). Replace direct async-with on the stream with a
helper that handles both protocols.
