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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>
19 lines
524 B
Python
19 lines
524 B
Python
"""Generative AI services for embeddings and document processing."""
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from .embedding import (
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AzureEmbeddingAPIKeyNotConfiguredError,
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AzureOpenAIEmbeddingService,
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BaseEmbeddingService,
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EmbeddingAPIKeyNotConfiguredError,
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OpenAIEmbeddingService,
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)
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from .json_parser import parse_llm_json
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__all__ = [
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"AzureEmbeddingAPIKeyNotConfiguredError",
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"AzureOpenAIEmbeddingService",
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"BaseEmbeddingService",
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"EmbeddingAPIKeyNotConfiguredError",
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"OpenAIEmbeddingService",
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"parse_llm_json",
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]
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