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alignment with pr 4081

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dhruvladia-sarvam
2026-03-24 16:29:58 +05:30
parent 0f6cc231cf
commit 696196e30c
5 changed files with 36 additions and 76 deletions
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10
examples/foundational/07z-interruptible-sarvam-http.py
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@@ -23,7 +23,7 @@ from pipecat.processors.aggregators.llm_response_universal import (
)
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.openai.llm import OpenAILLMService
from pipecat.services.sarvam.llm import SarvamLLMService
from pipecat.services.sarvam.stt import SarvamSTTService
from pipecat.services.sarvam.tts import SarvamHttpTTSService
from pipecat.transcriptions.language import Language
@@ -72,10 +72,10 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
),
)
llm = OpenAILLMService(
api_key=os.getenv("OPENAI_API_KEY"),
settings=OpenAILLMService.Settings(
system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
llm = SarvamLLMService(
api_key=os.getenv("SARVAM_API_KEY"),
settings=SarvamLLMService.Settings(
system_instruction="You are a helpful assistant in a voice conversation. Your responses will be spoken aloud, so avoid emojis, bullet points, or other formatting that can't be spoken. Respond to what the user said in a creative, helpful, and brief way.",
),
)

19
examples/foundational/07z-interruptible-sarvam.py
View File

@@ -13,7 +13,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.frames.frames import LLMRunFrame
from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineParams, PipelineTask
from pipecat.pipeline.task import IDLE_TIMEOUT_SECS, PipelineParams, PipelineTask
from pipecat.processors.aggregators.llm_context import LLMContext
from pipecat.processors.aggregators.llm_response_universal import (
LLMContextAggregatorPair,
@@ -21,7 +21,7 @@ from pipecat.processors.aggregators.llm_response_universal import (
)
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.openai.llm import OpenAILLMService
from pipecat.services.sarvam.llm import SarvamLLMService
from pipecat.services.sarvam.stt import SarvamSTTService
from pipecat.services.sarvam.tts import SarvamTTSService
from pipecat.transports.base_transport import BaseTransport, TransportParams
@@ -55,21 +55,21 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
stt = SarvamSTTService(
api_key=os.getenv("SARVAM_API_KEY"),
settings=SarvamSTTService.Settings(
model="saarika:v2.5",
model="saaras:v3",
),
)
tts = SarvamTTSService(
api_key=os.getenv("SARVAM_API_KEY"),
settings=SarvamTTSService.Settings(
model="bulbul:v2",
voice="manisha",
model="bulbul:v3",
voice="shubh",
),
)
llm = OpenAILLMService(
api_key=os.getenv("OPENAI_API_KEY"),
settings=OpenAILLMService.Settings(
system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
llm = SarvamLLMService(
api_key=os.getenv("SARVAM_API_KEY"),
settings=SarvamLLMService.Settings(
model="sarvam-30b",
),
)
@@ -96,6 +96,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
params=PipelineParams(
enable_metrics=True,
enable_usage_metrics=True,
allow_interruptions=True,
),
)