feat: add Inception LLM service with Mercury-2 support
Adds InceptionLLMService, an OpenAI-compatible service for Inception's Mercury-2 diffusion-based reasoning model. Supports reasoning_effort (instant/low/medium/high) and realtime mode for reduced TTFT.
This commit is contained in:
joycech333
@@ -92,7 +92,7 @@ Catch new features, interviews, and how-tos on our [Pipecat TV](https://www.yout
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| Category | Services |
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| ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| Speech-to-Text | [AssemblyAI](https://docs.pipecat.ai/api-reference/server/services/stt/assemblyai), [AWS](https://docs.pipecat.ai/api-reference/server/services/stt/aws), [Azure](https://docs.pipecat.ai/api-reference/server/services/stt/azure), [Cartesia](https://docs.pipecat.ai/api-reference/server/services/stt/cartesia), [Deepgram](https://docs.pipecat.ai/api-reference/server/services/stt/deepgram), [ElevenLabs](https://docs.pipecat.ai/api-reference/server/services/stt/elevenlabs), [Fal Wizper](https://docs.pipecat.ai/api-reference/server/services/stt/fal), [Gladia](https://docs.pipecat.ai/api-reference/server/services/stt/gladia), [Google](https://docs.pipecat.ai/api-reference/server/services/stt/google), [Gradium](https://docs.pipecat.ai/api-reference/server/services/stt/gradium), [Groq (Whisper)](https://docs.pipecat.ai/api-reference/server/services/stt/groq), [Mistral](https://docs.pipecat.ai/api-reference/server/services/stt/mistral), [NVIDIA](https://docs.pipecat.ai/api-reference/server/services/stt/nvidia), [OpenAI (Whisper)](https://docs.pipecat.ai/api-reference/server/services/stt/openai), [Sarvam](https://docs.pipecat.ai/api-reference/server/services/stt/sarvam), [Soniox](https://docs.pipecat.ai/api-reference/server/services/stt/soniox), [Speechmatics](https://docs.pipecat.ai/api-reference/server/services/stt/speechmatics), [Whisper](https://docs.pipecat.ai/api-reference/server/services/stt/whisper), [xAI](https://docs.pipecat.ai/api-reference/server/services/stt/xai) |
|
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| LLMs | [Anthropic](https://docs.pipecat.ai/api-reference/server/services/llm/anthropic), [AWS](https://docs.pipecat.ai/api-reference/server/services/llm/aws), [Azure](https://docs.pipecat.ai/api-reference/server/services/llm/azure), [Cerebras](https://docs.pipecat.ai/api-reference/server/services/llm/cerebras), [DeepSeek](https://docs.pipecat.ai/api-reference/server/services/llm/deepseek), [Fireworks AI](https://docs.pipecat.ai/api-reference/server/services/llm/fireworks), [Gemini](https://docs.pipecat.ai/api-reference/server/services/llm/gemini), [Grok](https://docs.pipecat.ai/api-reference/server/services/llm/grok), [Groq](https://docs.pipecat.ai/api-reference/server/services/llm/groq), [Mistral](https://docs.pipecat.ai/api-reference/server/services/llm/mistral), [Nebius](https://docs.pipecat.ai/api-reference/server/services/llm/nebius), [Novita](https://docs.pipecat.ai/api-reference/server/services/llm/novita), [NVIDIA NIM](https://docs.pipecat.ai/api-reference/server/services/llm/nvidia), [Ollama](https://docs.pipecat.ai/api-reference/server/services/llm/ollama), [OpenAI](https://docs.pipecat.ai/api-reference/server/services/llm/openai), [OpenAI Responses](https://docs.pipecat.ai/api-reference/server/services/llm/openai-responses), [OpenRouter](https://docs.pipecat.ai/api-reference/server/services/llm/openrouter), [Perplexity](https://docs.pipecat.ai/api-reference/server/services/llm/perplexity), [Qwen](https://docs.pipecat.ai/api-reference/server/services/llm/qwen), [SambaNova](https://docs.pipecat.ai/api-reference/server/services/llm/sambanova), [Sarvam](https://docs.pipecat.ai/api-reference/server/services/llm/sarvam), [Together AI](https://docs.pipecat.ai/api-reference/server/services/llm/together) |
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| LLMs | [Anthropic](https://docs.pipecat.ai/api-reference/server/services/llm/anthropic), [AWS](https://docs.pipecat.ai/api-reference/server/services/llm/aws), [Azure](https://docs.pipecat.ai/api-reference/server/services/llm/azure), [Cerebras](https://docs.pipecat.ai/api-reference/server/services/llm/cerebras), [DeepSeek](https://docs.pipecat.ai/api-reference/server/services/llm/deepseek), [Fireworks AI](https://docs.pipecat.ai/api-reference/server/services/llm/fireworks), [Gemini](https://docs.pipecat.ai/api-reference/server/services/llm/gemini), [Grok](https://docs.pipecat.ai/api-reference/server/services/llm/grok), [Groq](https://docs.pipecat.ai/api-reference/server/services/llm/groq), [Inception](https://docs.pipecat.ai/api-reference/server/services/llm/inception), [Mistral](https://docs.pipecat.ai/api-reference/server/services/llm/mistral), [Nebius](https://docs.pipecat.ai/api-reference/server/services/llm/nebius), [Novita](https://docs.pipecat.ai/api-reference/server/services/llm/novita), [NVIDIA NIM](https://docs.pipecat.ai/api-reference/server/services/llm/nvidia), [Ollama](https://docs.pipecat.ai/api-reference/server/services/llm/ollama), [OpenAI](https://docs.pipecat.ai/api-reference/server/services/llm/openai), [OpenAI Responses](https://docs.pipecat.ai/api-reference/server/services/llm/openai-responses), [OpenRouter](https://docs.pipecat.ai/api-reference/server/services/llm/openrouter), [Perplexity](https://docs.pipecat.ai/api-reference/server/services/llm/perplexity), [Qwen](https://docs.pipecat.ai/api-reference/server/services/llm/qwen), [SambaNova](https://docs.pipecat.ai/api-reference/server/services/llm/sambanova), [Sarvam](https://docs.pipecat.ai/api-reference/server/services/llm/sarvam), [Together AI](https://docs.pipecat.ai/api-reference/server/services/llm/together) |
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| Text-to-Speech | [Async](https://docs.pipecat.ai/api-reference/server/services/tts/asyncai), [AWS](https://docs.pipecat.ai/api-reference/server/services/tts/aws), [Azure](https://docs.pipecat.ai/api-reference/server/services/tts/azure), [Camb AI](https://docs.pipecat.ai/api-reference/server/services/tts/camb), [Cartesia](https://docs.pipecat.ai/api-reference/server/services/tts/cartesia), [Deepgram](https://docs.pipecat.ai/api-reference/server/services/tts/deepgram), [ElevenLabs](https://docs.pipecat.ai/api-reference/server/services/tts/elevenlabs), [Fish](https://docs.pipecat.ai/api-reference/server/services/tts/fish), [Google](https://docs.pipecat.ai/api-reference/server/services/tts/google), [Gradium](https://docs.pipecat.ai/api-reference/server/services/tts/gradium), [Groq](https://docs.pipecat.ai/api-reference/server/services/tts/groq), [Hume](https://docs.pipecat.ai/api-reference/server/services/tts/hume), [Inworld](https://docs.pipecat.ai/api-reference/server/services/tts/inworld), [Kokoro](https://docs.pipecat.ai/api-reference/server/services/tts/kokoro), [LMNT](https://docs.pipecat.ai/api-reference/server/services/tts/lmnt), [MiniMax](https://docs.pipecat.ai/api-reference/server/services/tts/minimax), [Mistral](https://docs.pipecat.ai/api-reference/server/services/tts/mistral), [Neuphonic](https://docs.pipecat.ai/api-reference/server/services/tts/neuphonic), [NVIDIA](https://docs.pipecat.ai/api-reference/server/services/tts/nvidia), [OpenAI](https://docs.pipecat.ai/api-reference/server/services/tts/openai), [Piper](https://docs.pipecat.ai/api-reference/server/services/tts/piper), [Resemble](https://docs.pipecat.ai/api-reference/server/services/tts/resemble), [Rime](https://docs.pipecat.ai/api-reference/server/services/tts/rime), [Sarvam](https://docs.pipecat.ai/api-reference/server/services/tts/sarvam), [Smallest](https://docs.pipecat.ai/api-reference/server/services/tts/smallest), [Soniox](https://docs.pipecat.ai/api-reference/server/services/tts/soniox), [Speechmatics](https://docs.pipecat.ai/api-reference/server/services/tts/speechmatics), [xAI](https://docs.pipecat.ai/api-reference/server/services/tts/xai), [XTTS](https://docs.pipecat.ai/api-reference/server/services/tts/xtts) |
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| Speech-to-Speech | [AWS Nova Sonic](https://docs.pipecat.ai/api-reference/server/services/s2s/aws), [Gemini Multimodal Live](https://docs.pipecat.ai/api-reference/server/services/s2s/gemini), [Grok Voice Agent](https://docs.pipecat.ai/api-reference/server/services/s2s/grok), [OpenAI Realtime](https://docs.pipecat.ai/api-reference/server/services/s2s/openai), [Ultravox](https://docs.pipecat.ai/api-reference/server/services/s2s/ultravox), |
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| Transport | [Daily (WebRTC)](https://docs.pipecat.ai/api-reference/server/services/transport/daily), [FastAPI Websocket](https://docs.pipecat.ai/api-reference/server/services/transport/fastapi-websocket), [LiveKit (WebRTC)](https://docs.pipecat.ai/api-reference/server/services/transport/livekit), [SmallWebRTCTransport](https://docs.pipecat.ai/api-reference/server/services/transport/small-webrtc), [Vonage (WebRTC)](https://docs.pipecat.ai/api-reference/server/services/transport/vonage), [WebSocket Server](https://docs.pipecat.ai/api-reference/server/services/transport/websocket-server), [WhatsApp](https://docs.pipecat.ai/api-reference/server/services/transport/whatsapp), Local |
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1
changelog/4423.added.md
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1
changelog/4423.added.md
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@@ -0,0 +1 @@
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- Added `InceptionLLMService` for Inception's Mercury 2 diffusion reasoning model, with support for `reasoning_effort` and `realtime` settings.
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@@ -91,6 +91,9 @@ HEYGEN_LIVE_AVATAR_API_KEY=...
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HUME_API_KEY=...
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HUME_VOICE_ID=...
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# Inception
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INCEPTION_API_KEY=...
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# Inworld
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INWORLD_API_KEY=...
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167
examples/function-calling/function-calling-inception.py
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167
examples/function-calling/function-calling-inception.py
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@@ -0,0 +1,167 @@
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#
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# Copyright (c) 2024-2026, Daily
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#
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# SPDX-License-Identifier: BSD 2-Clause License
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#
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import os
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from dotenv import load_dotenv
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from loguru import logger
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from pipecat.adapters.schemas.function_schema import FunctionSchema
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from pipecat.adapters.schemas.tools_schema import ToolsSchema
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from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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from pipecat.processors.aggregators.llm_context import LLMContext
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from pipecat.processors.aggregators.llm_response_universal import (
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LLMContextAggregatorPair,
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LLMUserAggregatorParams,
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)
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from pipecat.runner.types import RunnerArguments
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from pipecat.runner.utils import create_transport
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from pipecat.services.cartesia.tts import CartesiaTTSService
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from pipecat.services.deepgram.stt import DeepgramSTTService
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from pipecat.services.inception.llm import InceptionLLMService
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from pipecat.services.llm_service import FunctionCallParams
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from pipecat.transports.base_transport import BaseTransport, TransportParams
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from pipecat.transports.daily.transport import DailyParams
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from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
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load_dotenv(override=True)
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async def fetch_weather_from_api(params: FunctionCallParams):
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await params.result_callback({"conditions": "nice", "temperature": "75"})
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# We use lambdas to defer transport parameter creation until the transport
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# type is selected at runtime.
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transport_params = {
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"daily": lambda: DailyParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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),
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"twilio": lambda: FastAPIWebsocketParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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),
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"webrtc": lambda: TransportParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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),
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}
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async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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logger.info(f"Starting bot")
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stt = DeepgramSTTService(api_key=os.environ["DEEPGRAM_API_KEY"])
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tts = CartesiaTTSService(
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api_key=os.environ["CARTESIA_API_KEY"],
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settings=CartesiaTTSService.Settings(
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voice="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
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),
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)
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llm = InceptionLLMService(
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api_key=os.environ["INCEPTION_API_KEY"],
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settings=InceptionLLMService.Settings(
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reasoning_effort="medium",
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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.
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You have one functions available:
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1. get_current_weather is used to get current weather information.
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Infer whether to use Fahrenheit or Celsius automatically based on the location, unless the user specifies a preference.
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Start by asking me for my location. Then, use 'get_weather_current' to give me a forecast.
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Respond to what the user said in a creative and helpful way.""",
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),
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)
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# You can also register a function_name of None to get all functions
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# sent to the same callback with an additional function_name parameter.
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llm.register_function("get_current_weather", fetch_weather_from_api)
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@llm.event_handler("on_function_calls_started")
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async def on_function_calls_started(service, function_calls):
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await tts.queue_frame(TTSSpeakFrame("Let me check on that."))
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weather_function = FunctionSchema(
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name="get_current_weather",
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description="Get the current weather",
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properties={
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"location": {
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"type": "string",
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"description": "The city and state, e.g. San Francisco, CA",
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},
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"format": {
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"type": "string",
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"enum": ["celsius", "fahrenheit"],
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"description": "The temperature unit to use. Infer this from the user's location.",
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},
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},
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required=["location", "format"],
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)
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tools = ToolsSchema(standard_tools=[weather_function])
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context = LLMContext(tools=tools)
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user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
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context,
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user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
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)
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pipeline = Pipeline(
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[
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transport.input(),
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stt,
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user_aggregator,
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llm,
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tts,
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transport.output(),
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assistant_aggregator,
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]
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)
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task = PipelineTask(
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pipeline,
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params=PipelineParams(
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enable_metrics=True,
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enable_usage_metrics=True,
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),
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idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
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)
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@transport.event_handler("on_client_connected")
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async def on_client_connected(transport, client):
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logger.info(f"Client connected")
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# Kick off the conversation.
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await task.queue_frames([LLMRunFrame()])
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@transport.event_handler("on_client_disconnected")
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async def on_client_disconnected(transport, client):
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logger.info(f"Client disconnected")
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await task.cancel()
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runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
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await runner.run(task)
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async def bot(runner_args: RunnerArguments):
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"""Main bot entry point compatible with Pipecat Cloud."""
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transport = await create_transport(runner_args, transport_params)
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await run_bot(transport, runner_args)
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if __name__ == "__main__":
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from pipecat.runner.run import main
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main()
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@@ -77,6 +77,7 @@ groq = [ "groq>=0.23.0,<2" ]
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gstreamer = [ "pygobject~=3.50.0" ]
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heygen = [ "livekit>=1.0.13,<2", "pipecat-ai[websockets-base]" ]
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hume = [ "hume>=0.11.2,<1" ]
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inception = []
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inworld = [ "pipecat-ai[websockets-base]" ]
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koala = [ "pvkoala~=2.0.3" ]
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kokoro = [ "kokoro-onnx>=0.5.0,<1", "requests>=2.32.5,<3" ]
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0
src/pipecat/services/inception/__init__.py
Normal file
0
src/pipecat/services/inception/__init__.py
Normal file
130
src/pipecat/services/inception/llm.py
Normal file
130
src/pipecat/services/inception/llm.py
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@@ -0,0 +1,130 @@
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#
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# Copyright (c) 2024-2026, Daily
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#
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# SPDX-License-Identifier: BSD 2-Clause License
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#
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"""Inception LLM service implementation using OpenAI-compatible interface."""
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from dataclasses import dataclass, field
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from typing import Literal
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from loguru import logger
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from pipecat.adapters.services.open_ai_adapter import OpenAILLMInvocationParams
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from pipecat.services.openai.base_llm import BaseOpenAILLMService
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from pipecat.services.openai.llm import OpenAILLMService
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from pipecat.services.settings import NOT_GIVEN as _NOT_GIVEN
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from pipecat.services.settings import _NotGiven, is_given
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@dataclass
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class InceptionLLMSettings(BaseOpenAILLMService.Settings):
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"""Settings for InceptionLLMService.
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Parameters:
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reasoning_effort: Controls how much reasoning the model applies.
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One of "instant", "low", "medium", or "high". Defaults to "medium".
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realtime: When True, reduces time to first diffusion block (TTFT).
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"""
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reasoning_effort: Literal["instant", "low", "medium", "high"] | None | _NotGiven = field(
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default_factory=lambda: _NOT_GIVEN
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)
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realtime: bool | None | _NotGiven = field(default_factory=lambda: _NOT_GIVEN)
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class InceptionLLMService(OpenAILLMService):
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"""A service for interacting with Inception's API using the OpenAI-compatible interface.
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This service extends OpenAILLMService to connect to Inception's API endpoint while
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maintaining full compatibility with OpenAI's interface and functionality.
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Supports Mercury-2, Inception's diffusion-based reasoning model.
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"""
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# Inception doesn't support the "developer" message role.
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supports_developer_role = False
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Settings = InceptionLLMSettings
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_settings: Settings
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def __init__(
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self,
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*,
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api_key: str,
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base_url: str = "https://api.inceptionlabs.ai/v1",
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model: str | None = None,
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settings: Settings | None = None,
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**kwargs,
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):
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"""Initialize the Inception LLM service.
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Args:
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api_key: The API key for accessing Inception's API.
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base_url: The base URL for Inception API. Defaults to "https://api.inceptionlabs.ai/v1".
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model: The model identifier to use. Defaults to "mercury-2".
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.. deprecated:: 0.0.105
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Use ``settings=InceptionLLMService.Settings(model=...)`` instead.
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settings: Runtime-updatable settings. When provided alongside deprecated
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parameters, ``settings`` values take precedence.
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**kwargs: Additional keyword arguments passed to OpenAILLMService.
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"""
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default_settings = self.Settings(model="mercury-2", reasoning_effort=None, realtime=None)
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if model is not None:
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self._warn_init_param_moved_to_settings("model", "model")
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default_settings.model = model
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if settings is not None:
|
||||
default_settings.apply_update(settings)
|
||||
|
||||
super().__init__(api_key=api_key, base_url=base_url, settings=default_settings, **kwargs)
|
||||
|
||||
def create_client(self, api_key=None, base_url=None, **kwargs):
|
||||
"""Create OpenAI-compatible client for Inception API endpoint.
|
||||
|
||||
Args:
|
||||
api_key: The API key for authentication. If None, uses instance default.
|
||||
base_url: The base URL for the API. If None, uses instance default.
|
||||
**kwargs: Additional keyword arguments for client configuration.
|
||||
|
||||
Returns:
|
||||
An OpenAI-compatible client configured for Inception's API.
|
||||
"""
|
||||
logger.debug(f"Creating Inception client with api {base_url}")
|
||||
return super().create_client(api_key, base_url, **kwargs)
|
||||
|
||||
def build_chat_completion_params(self, params_from_context: OpenAILLMInvocationParams) -> dict:
|
||||
"""Build parameters for Inception chat completion request.
|
||||
|
||||
Extends the base OpenAI parameters with Inception-specific options
|
||||
such as reasoning_effort and realtime.
|
||||
|
||||
Args:
|
||||
params_from_context: Parameters, derived from the LLM context, to
|
||||
use for the chat completion. Contains messages, tools, and tool
|
||||
choice.
|
||||
|
||||
Returns:
|
||||
Dictionary of parameters for the chat completion request.
|
||||
"""
|
||||
params = super().build_chat_completion_params(params_from_context)
|
||||
|
||||
if (
|
||||
is_given(self._settings.reasoning_effort)
|
||||
and self._settings.reasoning_effort is not None
|
||||
):
|
||||
params["reasoning_effort"] = self._settings.reasoning_effort
|
||||
|
||||
# realtime is Inception-specific and unknown to the OpenAI SDK,
|
||||
# so it must be passed via extra_body to avoid validation errors.
|
||||
extra_body = {}
|
||||
if is_given(self._settings.realtime) and self._settings.realtime is not None:
|
||||
extra_body["realtime"] = self._settings.realtime
|
||||
|
||||
if extra_body:
|
||||
params["extra_body"] = extra_body
|
||||
|
||||
return params
|
||||
Reference in New Issue
Block a user