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examples: update with single FunctionCallParams parameter

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This commit is contained in:
Aleix Conchillo Flaqué
2025-04-25 09:00:43 -07:00
parent 944bc23135
commit 4df6444832
36 changed files with 268 additions and 292 deletions
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69
examples/patient-intake/bot.py
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@@ -23,6 +23,7 @@ from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContextFr
from pipecat.processors.frame_processor import FrameDirection
from pipecat.processors.logger import FrameLogger
from pipecat.services.cartesia.tts import CartesiaTTSService
from pipecat.services.llm_service import FunctionCallParams
from pipecat.services.openai.llm import OpenAILLMContext, OpenAILLMService
from pipecat.transports.services.daily import DailyParams, DailyTransport
@@ -84,11 +85,9 @@ class IntakeProcessor:
]
)
async def verify_birthday(
self, function_name, tool_call_id, args, llm, context, result_callback
):
if args["birthday"] == "1983-01-01":
context.set_tools(
async def verify_birthday(self, params: FunctionCallParams):
if params.arguments["birthday"] == "1983-01-01":
params.context.set_tools(
[
{
"type": "function",
@@ -124,7 +123,7 @@ class IntakeProcessor:
# await llm.push_frame(sounds["ding2.wav"], FrameDirection.DOWNSTREAM)
# We don't need the function call in the context, so just return a new
# system message and let the framework re-prompt
await result_callback(
await params.result_callback(
[
{
"role": "system",
@@ -134,7 +133,7 @@ class IntakeProcessor:
)
else:
# The user provided an incorrect birthday; ask them to try again
await result_callback(
await params.result_callback(
[
{
"role": "system",
@@ -143,12 +142,10 @@ class IntakeProcessor:
]
)
async def list_prescriptions(
self, function_name, tool_call_id, args, llm, context, result_callback
):
async def list_prescriptions(self, params: FunctionCallParams):
print(f"!!! doing start prescriptions")
# Move on to allergies
context.set_tools(
params.context.set_tools(
[
{
"type": "function",
@@ -176,23 +173,23 @@ class IntakeProcessor:
}
]
)
context.add_message(
params.context.add_message(
{
"role": "system",
"content": "Next, ask the user if they have any allergies. Once they have listed their allergies or confirmed they don't have any, call the list_allergies function.",
}
)
print(f"!!! about to await llm process frame in start prescrpitions")
await llm.queue_frame(OpenAILLMContextFrame(context), FrameDirection.DOWNSTREAM)
await params.llm.queue_frame(
OpenAILLMContextFrame(params.context), FrameDirection.DOWNSTREAM
)
print(f"!!! past await process frame in start prescriptions")
await self.save_data(args, result_callback)
await self.save_data(params.arguments, params.result_callback)
async def list_allergies(
self, function_name, tool_call_id, args, llm, context, result_callback
):
async def list_allergies(self, params: FunctionCallParams):
print("!!! doing list allergies")
# Move on to conditions
context.set_tools(
params.context.set_tools(
[
{
"type": "function",
@@ -220,21 +217,21 @@ class IntakeProcessor:
},
]
)
context.add_message(
params.context.add_message(
{
"role": "system",
"content": "Now ask the user if they have any medical conditions the doctor should know about. Once they've answered the question, call the list_conditions function.",
}
)
await llm.queue_frame(OpenAILLMContextFrame(context), FrameDirection.DOWNSTREAM)
await self.save_data(args, result_callback)
await params.llm.queue_frame(
OpenAILLMContextFrame(params.context), FrameDirection.DOWNSTREAM
)
await self.save_data(params.arguments, params.result_callback)
async def list_conditions(
self, function_name, tool_call_id, args, llm, context, result_callback
):
async def list_conditions(self, params: FunctionCallParams):
print("!!! doing start conditions")
# Move on to visit reasons
context.set_tools(
params.context.set_tools(
[
{
"type": "function",
@@ -262,26 +259,28 @@ class IntakeProcessor:
}
]
)
context.add_message(
params.context.add_message(
{
"role": "system",
"content": "Finally, ask the user the reason for their doctor visit today. Once they answer, call the list_visit_reasons function.",
}
)
await llm.queue_frame(OpenAILLMContextFrame(context), FrameDirection.DOWNSTREAM)
await self.save_data(args, result_callback)
await params.llm.queue_frame(
OpenAILLMContextFrame(params.context), FrameDirection.DOWNSTREAM
)
await self.save_data(params.arguments, params.result_callback)
async def list_visit_reasons(
self, function_name, tool_call_id, args, llm, context, result_callback
):
async def list_visit_reasons(self, params: FunctionCallParams):
print("!!! doing start visit reasons")
# move to finish call
context.set_tools([])
context.add_message(
params.context.set_tools([])
params.context.add_message(
{"role": "system", "content": "Now, thank the user and end the conversation."}
)
await llm.queue_frame(OpenAILLMContextFrame(context), FrameDirection.DOWNSTREAM)
await self.save_data(args, result_callback)
await params.llm.queue_frame(
OpenAILLMContextFrame(params.context), FrameDirection.DOWNSTREAM
)
await self.save_data(params.arguments, params.result_callback)
async def save_data(self, args, result_callback):
logger.info(f"!!! Saving data: {args}")