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Add deprecation version, fix foundational example double system message

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This commit is contained in:
Mark Backman
2026-03-06 12:47:26 -05:00
parent 940da9eeeb
commit c3794956ef
20 changed files with 34 additions and 34 deletions
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2
examples/foundational/07f-interruptible-azure-http.py
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@@ -65,8 +65,8 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
llm = AzureLLMService(
api_key=os.getenv("AZURE_CHATGPT_API_KEY"),
endpoint=os.getenv("AZURE_CHATGPT_ENDPOINT"),
model=os.getenv("AZURE_CHATGPT_MODEL"),
settings=AzureLLMSettings(
model=os.getenv("AZURE_CHATGPT_MODEL"),
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.",
),
)

2
examples/foundational/07f-interruptible-azure.py
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@@ -65,8 +65,8 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
llm = AzureLLMService(
api_key=os.getenv("AZURE_CHATGPT_API_KEY"),
endpoint=os.getenv("AZURE_CHATGPT_ENDPOINT"),
model=os.getenv("AZURE_CHATGPT_MODEL"),
settings=AzureLLMSettings(
model=os.getenv("AZURE_CHATGPT_MODEL"),
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.",
),
)

4
examples/foundational/07m-interruptible-aws.py
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@@ -63,9 +63,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
llm = AWSBedrockLLMService(
aws_region="us-west-2",
model="us.anthropic.claude-haiku-4-5-20251001-v1:0",
params=AWSBedrockLLMService.InputParams(temperature=0.8),
settings=AWSBedrockLLMSettings(
model="us.anthropic.claude-haiku-4-5-20251001-v1:0",
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.",
),
)

2
examples/foundational/07o-interruptible-assemblyai-turn-detection.py
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@@ -94,7 +94,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
api_key=os.getenv("ASSEMBLYAI_API_KEY"),
vad_force_turn_endpoint=False, # Use AssemblyAI's built-in turn detection
settings=AssemblyAISTTSettings(
speech_model="u3-rt-pro",
model="u3-rt-pro",
# Optional: Tune turn detection timing (defaults shown below)
# min_turn_silence=100, # Default
# max_turn_silence=1000, # Default

4
examples/foundational/14d-function-calling-aws-video.py
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@@ -99,7 +99,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
llm = AWSBedrockLLMService(
aws_region="us-west-2",
settings=AWSBedrockLLMSettings(
model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
model="us.anthropic.claude-sonnet-4-6",
# Note: usually, prefer providing latency="optimized" param.
# Here we can't because AWS Bedrock doesn't support it for Claude 3.7,
# which we need for image input.
@@ -170,7 +170,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
context.add_message(
{
"role": "user",
"content": f"Please introduce yourself to the user. Use '{client_id}' as the user ID during function calls.",
"content": f"Please introduce yourself to the user briefly; don't mention the camera. Use '{client_id}' as the user ID during function calls.",
}
)
await task.queue_frames([LLMRunFrame()])

2
examples/foundational/55zzn-update-settings-groq-stt.py
View File

@@ -99,7 +99,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
@transport.event_handler("on_client_connected")
async def on_client_connected(transport, client):
logger.info(f"Client connected")
context.add_message({"user": "system", "content": "Please introduce yourself to the user."})
context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
await task.queue_frames([LLMRunFrame()])
await asyncio.sleep(10)