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https://github.com/dograh-hq/dograh.git
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7ba95c0fbe
* feat: add Azure AI multi-provider support (TTS, STT, Embeddings, Realtime) Enables Azure AI services across all model layers so users with Azure credits can consolidate billing on a single provider. - Voice (TTS): AzureSpeechTTSConfiguration via azure_speech provider - Transcriber (STT): AzureSpeechSTTConfiguration via azure_speech provider - Embedding: AzureOpenAIEmbeddingsConfiguration via azure provider - Realtime: AzureRealtimeLLMConfiguration via azure_realtime provider New files: - api/services/pipecat/realtime/azure_realtime.py - api/services/gen_ai/embedding/azure_openai_service.py - api/tests/test_azure_speech_service_factory.py The UI picks up all four providers automatically from the schema — no frontend changes required. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix: add validation for URL and params --------- Co-authored-by: Vishal Dhateria <vishal@finela.ai> Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: Abhishek Kumar <abhishek@a6k.me> |
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| .. | ||
| realtime | ||
| __init__.py | ||
| audio_config.py | ||
| audio_file_cache.py | ||
| audio_mixer.py | ||
| audio_playback.py | ||
| event_handlers.py | ||
| exceptions.py | ||
| in_memory_buffers.py | ||
| minimax_tts.py | ||
| pipeline_builder.py | ||
| pipeline_engine_callbacks_processor.py | ||
| pipeline_metrics_aggregator.py | ||
| pre_call_fetch.py | ||
| realtime_feedback_events.py | ||
| realtime_feedback_observer.py | ||
| recording_audio_cache.py | ||
| recording_router_processor.py | ||
| run_pipeline.py | ||
| service_factory.py | ||
| tracing_config.py | ||
| transport_params.py | ||
| transport_setup.py | ||
| turn_context.py | ||
| worker_runner.py | ||
| ws_sender_registry.py | ||