wx44wx/pipecat
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Move system_instruction into LLMSettings

Browse Source 
Add `system_instruction` field to `LLMSettings` so it is runtime-updatable via settings.
For Google (GoogleLLMService, GoogleVertexLLMService), deprecate the init-time arg since it was already shipped. For Anthropic, AWS Bedrock, and OpenAI, remove the init-time arg entirely since it was never shipped.

Add system instruction prepend logic to `build_chat_completion_params` overrides in Cerebras, SambaNova, Fireworks, Mistral, and Perplexity, which build params from scratch rather than calling `super()`.

Still need to handle realtime services (OpenAI Realtime, Grok Realtime, Gemini Live).
This commit is contained in:
Paul Kompfner
2026-03-05 14:03:32 -05:00
parent 1fcae91e5d
commit 560d2306e8
223 changed files with 860 additions and 424 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
examples/foundational/07m-interruptible-aws.py
View File

@@ -20,7 +20,7 @@ from pipecat.processors.aggregators.llm_response_universal import (
)
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.aws.llm import AWSBedrockLLMService
from pipecat.services.aws.llm import AWSBedrockLLMService, AWSBedrockLLMSettings
from pipecat.services.aws.stt import AWSTranscribeSTTService
from pipecat.services.aws.tts import AWSPollyTTSService, AWSPollyTTSSettings
from pipecat.transports.base_transport import BaseTransport, TransportParams
@@ -65,7 +65,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
aws_region="us-west-2",
model="us.anthropic.claude-haiku-4-5-20251001-v1:0",
params=AWSBedrockLLMService.InputParams(temperature=0.8),
system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
settings=AWSBedrockLLMSettings(
system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
),
)
context = LLMContext()