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feat: billing and credit management v2 (#429)

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* feat: use mps generated correlation ID

* chore: update pipecat submodule

* feat: add credit purchase URL

* feat: carve out billing page and show credit ledger

* feat: deprecate dograh based quota tracking

* fix: remove cost calculation from dograh codebase

* fix: create mps account on migrate to v2

* chore: update pipecat
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Abhishek 2026-06-12 14:55:30 +05:30 • committed by GitHub
parent 97d7103480
commit 1f1149f4d5
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80 changed files with 3335 additions and 2057 deletions
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23
api/services/pipecat/service_factory.py
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@ -78,7 +78,10 @@ def _validate_runtime_service_url(url: str, field_name: str) -> None:
def create_stt_service(
user_config, audio_config: "AudioConfig", keyterms: list[str] | None = None
user_config,
audio_config: "AudioConfig",
keyterms: list[str] | None = None,
correlation_id: str | None = None,
):
"""Create and return appropriate STT service based on user configuration
@ -160,6 +163,7 @@ def create_stt_service(
return DograhSTTService(
base_url=base_url,
api_key=user_config.stt.api_key,
correlation_id=correlation_id,
settings=DograhSTTSettings(
model=user_config.stt.model,
language=language,
@ -286,7 +290,9 @@ def create_stt_service(
)
def create_tts_service(user_config, audio_config: "AudioConfig"):
def create_tts_service(
user_config, audio_config: "AudioConfig", correlation_id: str | None = None
):
"""Create and return appropriate TTS service based on user configuration
Args:
@ -404,6 +410,7 @@ def create_tts_service(user_config, audio_config: "AudioConfig"):
return DograhTTSService(
base_url=base_url,
api_key=user_config.tts.api_key,
correlation_id=correlation_id,
settings=DograhTTSSettings(
model=user_config.tts.model,
voice=user_config.tts.voice,
@ -564,6 +571,7 @@ def create_llm_service_from_provider(
model: str,
api_key: str | None,
*,
correlation_id: str | None = None,
base_url: str | None = None,
endpoint: str | None = None,
aws_access_key: str | None = None,
@ -637,6 +645,7 @@ def create_llm_service_from_provider(
return DograhLLMService(
base_url=f"{MPS_API_URL}/api/v1/llm",
api_key=api_key,
correlation_id=correlation_id,
settings=OpenAILLMSettings(model=model),
)
elif provider == ServiceProviders.AWS_BEDROCK.value:
@ -851,7 +860,7 @@ def create_realtime_llm_service(user_config, audio_config: "AudioConfig"):
)
def create_llm_service(user_config):
def create_llm_service(user_config, correlation_id: str | None = None):
"""Create and return appropriate LLM service based on user configuration."""
provider = user_config.llm.provider
model = user_config.llm.model
@ -880,4 +889,10 @@ def create_llm_service(user_config):
elif provider == ServiceProviders.SARVAM.value:
kwargs["temperature"] = user_config.llm.temperature
return create_llm_service_from_provider(provider, model, api_key, **kwargs)
return create_llm_service_from_provider(
provider,
model,
api_key,
correlation_id=correlation_id,
**kwargs,
)