Merge pull request #4089 from pipecat-ai/pk/system-and-developer-message-handling-update
Centralize system message handling in adapters; add developer message support
This commit is contained in:
1
changelog/4089.added.md
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1
changelog/4089.added.md
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- Added support for "developer" role messages in conversation context across all LLM adapters. For non-OpenAI services (Anthropic, Google, AWS Bedrock), "developer" messages are converted to "user" messages (use `system_instruction` to set the system instruction). For OpenAI services, "developer" messages pass through in conversation history. For the Responses API, they are kept as "developer" role (matching the existing "system" → "developer" conversion).
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1
changelog/4089.changed.md
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1
changelog/4089.changed.md
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- ⚠️ `GeminiLLMAdapter` now only treats `messages[0]` as the initial system message, matching all other adapters. Previously it searched for the first "system" message anywhere in the conversation history. A "system" message appearing later in the list will now be converted to "user" instead of being extracted as the system instruction.
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1
changelog/4089.fixed.2.md
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1
changelog/4089.fixed.2.md
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- Fixed Gemini Live (`GoogleGeminiLiveLLMService`) not honoring `settings.system_instruction`. The system instruction was being read from a deprecated constructor parameter instead of the settings object, causing it to be silently ignored.
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1
changelog/4089.fixed.md
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changelog/4089.fixed.md
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- Fixed `AWSBedrockLLMAdapter` sending an empty message list to the API when the only message in context was a system message. The lone system message is now converted to "user" role instead of being extracted, matching the existing Anthropic adapter behavior.
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@@ -60,7 +60,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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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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context = LLMContext()
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context.add_message({"role": "user", "content": "Say hello to the world."})
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context.add_message({"role": "developer", "content": "Say hello to the world."})
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await task.queue_frames([LLMContextFrame(context), EndFrame()])
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runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
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@@ -109,7 +109,9 @@ async def run_example(webrtc_connection: SmallWebRTCConnection):
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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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context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
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context.add_message(
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{"role": "developer", "content": "Please introduce yourself to the user."}
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)
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await task.queue_frames([LLMRunFrame()])
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@transport.event_handler("on_client_disconnected")
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@@ -92,7 +92,7 @@ async def main():
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await transport.capture_participant_transcription(participant["id"])
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# Kick off the conversation.
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context.add_message(
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{"role": "user", "content": "Please introduce yourself to the user."}
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{"role": "developer", "content": "Please introduce yourself to the user."}
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)
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await task.queue_frames([LLMRunFrame()])
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@@ -129,7 +129,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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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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context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
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context.add_message(
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{"role": "developer", "content": "Please introduce yourself to the user."}
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)
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await task.queue_frames([LLMRunFrame()])
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@transport.event_handler("on_client_disconnected")
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@@ -103,7 +103,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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logger.info(f"Client connected")
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# Kick off the conversation.
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context.add_message(
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{"role": "user", "content": "Please introduce yourself to the user."}
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{"role": "developer", "content": "Please introduce yourself to the user."}
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)
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await task.queue_frames([LLMRunFrame()])
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@@ -98,7 +98,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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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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context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
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context.add_message(
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{"role": "developer", "content": "Please introduce yourself to the user."}
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)
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await task.queue_frames([LLMRunFrame()])
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@transport.event_handler("on_client_disconnected")
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@@ -148,7 +148,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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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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context.add_message({"role": "user", "content": "Say a short hello to the user."})
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context.add_message({"role": "developer", "content": "Say a short hello to the user."})
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await task.queue_frames([LLMRunFrame()])
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@transport.event_handler("on_client_disconnected")
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@@ -128,7 +128,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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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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context.add_message({"role": "user", "content": "Say a short hello to the user."})
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context.add_message({"role": "developer", "content": "Say a short hello to the user."})
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await task.queue_frames([LLMRunFrame()])
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@transport.event_handler("on_client_disconnected")
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@@ -109,7 +109,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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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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context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
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context.add_message(
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{"role": "developer", "content": "Please introduce yourself to the user."}
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)
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await task.queue_frames([LLMRunFrame()])
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@transport.event_handler("on_client_disconnected")
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@@ -104,7 +104,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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logger.info(f"Client connected")
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# Kick off the conversation.
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context.add_message(
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{"role": "user", "content": "Please introduce yourself to the user."}
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{"role": "developer", "content": "Please introduce yourself to the user."}
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)
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await task.queue_frames([LLMRunFrame()])
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@@ -114,7 +114,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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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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context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
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context.add_message(
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{"role": "developer", "content": "Please introduce yourself to the user."}
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)
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await task.queue_frames([LLMRunFrame()])
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@transport.event_handler("on_client_disconnected")
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@@ -106,7 +106,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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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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context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
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context.add_message(
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{"role": "developer", "content": "Please introduce yourself to the user."}
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)
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await task.queue_frames([LLMRunFrame()])
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@transport.event_handler("on_client_disconnected")
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@@ -100,7 +100,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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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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context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
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context.add_message(
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{"role": "developer", "content": "Please introduce yourself to the user."}
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)
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await task.queue_frames([LLMRunFrame()])
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@transport.event_handler("on_client_disconnected")
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@@ -108,7 +108,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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logger.info(f"Client connected")
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# Kick off the conversation.
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context.add_message(
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{"role": "user", "content": "Please introduce yourself to the user."}
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{"role": "developer", "content": "Please introduce yourself to the user."}
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)
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await task.queue_frames([LLMRunFrame()])
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@@ -100,7 +100,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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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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context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
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context.add_message(
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{"role": "developer", "content": "Please introduce yourself to the user."}
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)
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await task.queue_frames([LLMRunFrame()])
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@transport.event_handler("on_client_disconnected")
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125
examples/foundational/07e-interruptible-anthropic.py
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125
examples/foundational/07e-interruptible-anthropic.py
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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.audio.vad.silero import SileroVADAnalyzer
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from pipecat.frames.frames import LLMRunFrame
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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.anthropic.llm import AnthropicLLMService
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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.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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# 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.getenv("DEEPGRAM_API_KEY"))
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tts = CartesiaTTSService(
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api_key=os.getenv("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 = AnthropicLLMService(
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api_key=os.getenv("ANTHROPIC_API_KEY"),
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settings=AnthropicLLMService.Settings(
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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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),
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)
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context = LLMContext()
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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(), # Transport user input
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stt,
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user_aggregator, # User responses
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llm, # LLM
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tts, # TTS
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transport.output(), # Transport bot output
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assistant_aggregator, # Assistant spoken responses
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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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context.add_message(
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{"role": "developer", "content": "Please introduce yourself to the user."}
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)
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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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@@ -102,7 +102,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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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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context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
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context.add_message(
|
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{"role": "developer", "content": "Please introduce yourself to the user."}
|
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)
|
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await task.queue_frames([LLMRunFrame()])
|
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|
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@transport.event_handler("on_client_disconnected")
|
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|
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@@ -102,7 +102,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
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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.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
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await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -106,7 +106,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -108,7 +108,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -103,7 +103,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -104,7 +104,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{"role": "user", "content": "Please introduce yourself to the user."}
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
|
||||
@@ -114,7 +114,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -109,7 +109,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -99,7 +99,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -95,7 +95,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -151,7 +151,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
LLMMessagesAppendFrame(
|
||||
messages=[
|
||||
{
|
||||
"role": "user",
|
||||
"role": "developer",
|
||||
"content": f"Greet the user and introduce yourself. Don't use emojis.",
|
||||
}
|
||||
],
|
||||
|
||||
@@ -66,7 +66,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
settings=AWSBedrockLLMService.Settings(
|
||||
model="us.anthropic.claude-sonnet-4-6",
|
||||
temperature=0.8,
|
||||
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.",
|
||||
# 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.",
|
||||
),
|
||||
)
|
||||
|
||||
@@ -101,7 +101,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -124,7 +124,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation with a styled introduction
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -128,7 +128,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
# Kick off the conversation
|
||||
context.add_message(
|
||||
{
|
||||
"role": "user",
|
||||
"role": "developer",
|
||||
"content": "You are an AI assistant. You can help with a variety of tasks. Introduce yourself and ask the user what they would like to know.",
|
||||
}
|
||||
)
|
||||
|
||||
@@ -112,7 +112,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -112,7 +112,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -153,7 +153,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -102,7 +102,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -134,7 +134,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -103,7 +103,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -107,7 +107,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{"role": "user", "content": "Please introduce yourself to the user."}
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
|
||||
@@ -99,7 +99,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -95,7 +95,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -269,7 +269,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -100,7 +100,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -105,7 +105,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{"role": "user", "content": "Please introduce yourself to the user."}
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
|
||||
@@ -99,7 +99,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -106,7 +106,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{"role": "user", "content": "Please introduce yourself to the user."}
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
|
||||
@@ -82,7 +82,7 @@ async def main():
|
||||
),
|
||||
)
|
||||
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message({"role": "developer", "content": "Please introduce yourself to the user."})
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
runner = PipelineRunner()
|
||||
|
||||
@@ -107,7 +107,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{"role": "user", "content": "Please introduce yourself to the user."}
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
|
||||
@@ -111,7 +111,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{"role": "user", "content": "Please introduce yourself to the user."}
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
|
||||
@@ -104,7 +104,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
# Optionally, you can wait for 30 seconds and then change the voice.
|
||||
|
||||
@@ -105,7 +105,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -112,7 +112,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
logger.info("Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{"role": "user", "content": "Please introduce yourself to the user."}
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
|
||||
@@ -99,7 +99,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info("Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -105,7 +105,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{"role": "user", "content": "Please introduce yourself to the user."}
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
|
||||
@@ -100,7 +100,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -128,7 +128,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
logger.info(f"Client connected")
|
||||
await audiobuffer.start_recording()
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@audiobuffer.event_handler("on_audio_data")
|
||||
|
||||
@@ -113,7 +113,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
"💡 Word timestamps are enabled! Watch the console for TTSTextFrame logs showing each word with its PTS."
|
||||
)
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -106,7 +106,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -99,7 +99,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
@transport.event_handler("on_client_connected")
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info("Client connected")
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -98,7 +98,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -98,7 +98,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -98,7 +98,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -141,7 +141,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected: {client}")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -120,7 +120,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -138,7 +138,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -72,7 +72,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
llm = TogetherLLMService(
|
||||
api_key=os.getenv("TOGETHER_API_KEY"),
|
||||
settings=TogetherLLMService.Settings(
|
||||
model="meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo",
|
||||
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.",
|
||||
),
|
||||
)
|
||||
|
||||
@@ -164,7 +164,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{
|
||||
"role": "user",
|
||||
"role": "developer",
|
||||
"content": f"Please introduce yourself to the user. Use '{client_id}' as the user ID during function calls.",
|
||||
}
|
||||
)
|
||||
|
||||
@@ -169,7 +169,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{
|
||||
"role": "user",
|
||||
"role": "developer",
|
||||
"content": f"Please introduce yourself to the user briefly; don't mention the camera. Use '{client_id}' as the user ID during function calls.",
|
||||
}
|
||||
)
|
||||
|
||||
@@ -164,7 +164,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{
|
||||
"role": "user",
|
||||
"role": "developer",
|
||||
"content": f"Please introduce yourself to the user. Use '{client_id}' as the user ID during function calls.",
|
||||
}
|
||||
)
|
||||
|
||||
@@ -202,7 +202,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{
|
||||
"role": "user",
|
||||
"role": "developer",
|
||||
"content": f"Please introduce yourself to the user. Use '{client_id}' as the user ID during function calls.",
|
||||
}
|
||||
)
|
||||
|
||||
@@ -163,7 +163,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{
|
||||
"role": "user",
|
||||
"role": "developer",
|
||||
"content": f"Please introduce yourself to the user. Use '{client_id}' as the user ID during function calls.",
|
||||
}
|
||||
)
|
||||
|
||||
@@ -163,7 +163,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{
|
||||
"role": "user",
|
||||
"role": "developer",
|
||||
"content": f"Please introduce yourself to the user. Use '{client_id}' as the user ID during function calls.",
|
||||
}
|
||||
)
|
||||
|
||||
@@ -220,7 +220,7 @@ indicate you should use the get_image tool are:
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{
|
||||
"role": "user",
|
||||
"role": "developer",
|
||||
"content": f"Please introduce yourself to the user. Use '{client_id}' as the user ID during function calls.",
|
||||
}
|
||||
)
|
||||
|
||||
@@ -136,7 +136,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -105,7 +105,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -102,7 +102,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
tools = ToolsSchema(standard_tools=[weather_function])
|
||||
messages = [
|
||||
{
|
||||
"role": "user",
|
||||
"role": "developer",
|
||||
"content": "Start a conversation with 'Hey there' to get the current weather.",
|
||||
},
|
||||
]
|
||||
|
||||
@@ -105,7 +105,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
|
||||
messages = [
|
||||
{
|
||||
"role": "user",
|
||||
"role": "developer",
|
||||
"content": "Start a conversation with 'Hey there' to get the current weather.",
|
||||
},
|
||||
]
|
||||
|
||||
@@ -147,7 +147,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -172,7 +172,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{
|
||||
"role": "user",
|
||||
"role": "developer",
|
||||
"content": f"Please introduce yourself to the user and let them know the voices you can do. Your initial responses should be as if you were a {tts.current_voice}.",
|
||||
}
|
||||
)
|
||||
|
||||
@@ -162,7 +162,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{
|
||||
"role": "user",
|
||||
"role": "developer",
|
||||
"content": f"Please introduce yourself to the user and let them know the languages you speak. Your initial responses should be in {tts.current_language}.",
|
||||
}
|
||||
)
|
||||
|
||||
@@ -109,7 +109,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
# Handle "latency-ping" messages. The client will send app messages that look like
|
||||
|
||||
@@ -60,14 +60,14 @@ class IdleHandler:
|
||||
if self._retry_count == 1:
|
||||
# First attempt: Add a gentle prompt to the conversation
|
||||
message = {
|
||||
"role": "user",
|
||||
"role": "developer",
|
||||
"content": "The user has been quiet. Politely and briefly ask if they're still there.",
|
||||
}
|
||||
await aggregator.push_frame(LLMMessagesAppendFrame([message], run_llm=True))
|
||||
elif self._retry_count == 2:
|
||||
# Second attempt: More direct prompt
|
||||
message = {
|
||||
"role": "user",
|
||||
"role": "developer",
|
||||
"content": "The user is still inactive. Ask if they'd like to continue our conversation.",
|
||||
}
|
||||
await aggregator.push_frame(LLMMessagesAppendFrame([message], run_llm=True))
|
||||
@@ -209,7 +209,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
await asyncio.sleep(30)
|
||||
logger.info(f"Disabling idle detection")
|
||||
|
||||
@@ -155,7 +155,7 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
|
||||
# OpenAIRealtimeBetaLLMService will convert this internally to messages that the
|
||||
# openai WebSocket API can understand.
|
||||
context = OpenAILLMContext(
|
||||
[{"role": "user", "content": "Say hello!"}],
|
||||
[{"role": "developer", "content": "Say hello!"}],
|
||||
tools,
|
||||
)
|
||||
|
||||
|
||||
@@ -181,7 +181,7 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
|
||||
# OpenAIRealtimeLLMService will convert this internally to messages that the
|
||||
# openai WebSocket API can understand.
|
||||
context = LLMContext(
|
||||
[{"role": "user", "content": "Say hello!"}],
|
||||
[{"role": "developer", "content": "Say hello!"}],
|
||||
tools,
|
||||
)
|
||||
|
||||
|
||||
@@ -151,11 +151,11 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
|
||||
# OpenAIRealtimeBetaLLMService will convert this internally to messages that the
|
||||
# openai WebSocket API can understand.
|
||||
context = OpenAILLMContext(
|
||||
[{"role": "user", "content": "Say hello!"}],
|
||||
# [{"role": "user", "content": [{"type": "text", "text": "Say hello!"}]}],
|
||||
[{"role": "developer", "content": "Say hello!"}],
|
||||
# [{"role": "developer", "content": [{"type": "text", "text": "Say hello!"}]}],
|
||||
# [
|
||||
# {
|
||||
# "role": "user",
|
||||
# "role": "developer",
|
||||
# "content": [
|
||||
# {"type": "text", "text": "Say"},
|
||||
# {"type": "text", "text": "yo what's up!"},
|
||||
|
||||
@@ -158,11 +158,11 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
|
||||
# OpenAIRealtimeBetaLLMService will convert this internally to messages that the
|
||||
# openai WebSocket API can understand.
|
||||
context = LLMContext(
|
||||
[{"role": "user", "content": "Say hello!"}],
|
||||
# [{"role": "user", "content": [{"type": "text", "text": "Say hello!"}]}],
|
||||
[{"role": "developer", "content": "Say hello!"}],
|
||||
# [{"role": "developer", "content": [{"type": "text", "text": "Say hello!"}]}],
|
||||
# [
|
||||
# {
|
||||
# "role": "user",
|
||||
# "role": "developer",
|
||||
# "content": [
|
||||
# {"type": "text", "text": "Say"},
|
||||
# {"type": "text", "text": "yo what's up!"},
|
||||
|
||||
@@ -161,7 +161,7 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
|
||||
# OpenAIRealtimeBetaLLMService will convert this internally to messages that the
|
||||
# openai WebSocket API can understand.
|
||||
context = OpenAILLMContext(
|
||||
[{"role": "user", "content": "Say hello!"}],
|
||||
[{"role": "developer", "content": "Say hello!"}],
|
||||
tools,
|
||||
)
|
||||
|
||||
|
||||
@@ -171,7 +171,7 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
|
||||
# OpenAIRealtimeLLMService will convert this internally to messages that the
|
||||
# openai WebSocket API can understand.
|
||||
context = LLMContext(
|
||||
[{"role": "user", "content": "Say hello!"}],
|
||||
[{"role": "developer", "content": "Say hello!"}],
|
||||
tools,
|
||||
)
|
||||
|
||||
|
||||
@@ -101,7 +101,7 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
|
||||
# OpenAIRealtimeLLMService will convert this internally to messages that the
|
||||
# openai WebSocket API can understand.
|
||||
context = LLMContext(
|
||||
[{"role": "user", "content": "Say hello!"}],
|
||||
[{"role": "developer", "content": "Say hello!"}],
|
||||
)
|
||||
|
||||
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
|
||||
|
||||
@@ -213,7 +213,7 @@ Remember, your responses should be short. Just one or two sentences, usually."""
|
||||
llm.register_function("get_saved_conversation_filenames", get_saved_conversation_filenames)
|
||||
llm.register_function("load_conversation", load_conversation)
|
||||
|
||||
context = LLMContext([{"role": "user", "content": "Say hello!"}], tools)
|
||||
context = LLMContext([{"role": "developer", "content": "Say hello!"}], tools)
|
||||
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
|
||||
context,
|
||||
user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
|
||||
|
||||
@@ -226,7 +226,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{
|
||||
"role": "user",
|
||||
"role": "developer",
|
||||
"content": "Start the call by saying the word 'hello'. Say only that word.",
|
||||
}
|
||||
)
|
||||
|
||||
@@ -303,7 +303,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{
|
||||
"role": "user",
|
||||
"role": "developer",
|
||||
"content": f"Please introduce yourself to the user. Use '{client_id}' as the user ID during function calls.",
|
||||
}
|
||||
)
|
||||
|
||||
@@ -112,7 +112,7 @@ async def load_conversation(params: FunctionCallParams):
|
||||
# commented out below, is part of this.
|
||||
# messages.append(
|
||||
# {
|
||||
# "role": "user",
|
||||
# "role": "developer",
|
||||
# "content": f"{AWSNovaSonicLLMService.AWAIT_TRIGGER_ASSISTANT_RESPONSE_INSTRUCTION}",
|
||||
# }
|
||||
# )
|
||||
@@ -264,7 +264,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
# HACK: if using the older Nova Sonic (pre-2) model, you need this special way of
|
||||
# triggering the first assistant response. Note that this trigger requires a special
|
||||
|
||||
@@ -202,7 +202,7 @@ Remember, your responses should be short - just one or two sentences usually."""
|
||||
llm.register_function("get_saved_conversation_filenames", get_saved_conversation_filenames)
|
||||
llm.register_function("load_conversation", load_conversation)
|
||||
|
||||
context = LLMContext([{"role": "user", "content": "Say hello!"}], tools)
|
||||
context = LLMContext([{"role": "developer", "content": "Say hello!"}], tools)
|
||||
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(context)
|
||||
|
||||
pipeline = Pipeline(
|
||||
|
||||
@@ -97,7 +97,7 @@ async def main():
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{
|
||||
"role": "user",
|
||||
"role": "developer",
|
||||
"content": "Start by greeting the user and ask how you can help.",
|
||||
}
|
||||
)
|
||||
|
||||
@@ -130,7 +130,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
# Kick off the conversation.
|
||||
context.add_message(
|
||||
{
|
||||
"role": "user",
|
||||
"role": "developer",
|
||||
"content": "Please introduce yourself to the user, asking them a question that will require a complete response. To start, say 'Let me start with a fun one. If you could travel anywhere in the world right now, where would you go and why?'",
|
||||
}
|
||||
)
|
||||
|
||||
@@ -128,7 +128,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
logger.info(f"Re-enabling background sound and starting bot...")
|
||||
await task.queue_frame(MixerEnableFrame(True))
|
||||
# Kick off the conversation.
|
||||
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
|
||||
@@ -143,7 +143,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
# Kick off the conversation with a weather-related prompt
|
||||
context.add_message(
|
||||
{
|
||||
"role": "user",
|
||||
"role": "developer",
|
||||
"content": "Ask the user what city they'd like to know the weather for.",
|
||||
}
|
||||
)
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user