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feat: add Azure AI multi-provider support (TTS, STT, Embeddings, Realtime)

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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>
This commit is contained in:
Vishal Dhateria 2026-05-29 20:48:42 +05:30
parent e695436fb3
commit dbbf362315
12 changed files with 883 additions and 28 deletions
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36
api/routes/knowledge_base.py
View file

@ -369,26 +369,42 @@ async def search_chunks(
try:
# Import here to avoid circular dependency
from api.services.gen_ai import OpenAIEmbeddingService
from api.services.configuration.registry import ServiceProviders
from api.services.gen_ai import AzureOpenAIEmbeddingService, OpenAIEmbeddingService
# Try to get user's embeddings configuration
user_config = await db_client.get_user_configurations(user.id)
embeddings_api_key = None
embeddings_model = None
embeddings_provider = None
embeddings_endpoint = None
embeddings_api_version = None
if user_config.embeddings:
embeddings_api_key = user_config.embeddings.api_key
embeddings_model = user_config.embeddings.model
embeddings_provider = getattr(user_config.embeddings, "provider", None)
embeddings_endpoint = getattr(user_config.embeddings, "endpoint", None)
embeddings_api_version = getattr(user_config.embeddings, "api_version", None)
# Initialize embedding service with user config or fallback to env
embedding_service = OpenAIEmbeddingService(
db_client=db_client,
api_key=embeddings_api_key,
model_id=embeddings_model or "text-embedding-3-small",
base_url=getattr(user_config.embeddings, "base_url", None)
if user_config.embeddings
else None,
)
# Initialize embedding service based on provider
if embeddings_provider == ServiceProviders.AZURE.value and embeddings_endpoint:
embedding_service = AzureOpenAIEmbeddingService(
db_client=db_client,
api_key=embeddings_api_key,
endpoint=embeddings_endpoint,
model_id=embeddings_model or "text-embedding-3-small",
api_version=embeddings_api_version or "2024-02-15-preview",
)
else:
embedding_service = OpenAIEmbeddingService(
db_client=db_client,
api_key=embeddings_api_key,
model_id=embeddings_model or "text-embedding-3-small",
base_url=getattr(user_config.embeddings, "base_url", None)
if user_config.embeddings
else None,
)
# Perform search
results = await embedding_service.search_similar_chunks(