examples: update with single FunctionCallParams parameter
This commit is contained in:
@@ -24,6 +24,7 @@ from pipecat.processors.aggregators.openai_llm_context import (
|
||||
from pipecat.services.cartesia.tts import CartesiaTTSService
|
||||
from pipecat.services.deepgram.stt import DeepgramSTTService
|
||||
from pipecat.services.google.llm import GoogleLLMService
|
||||
from pipecat.services.llm_service import FunctionCallParams
|
||||
from pipecat.transports.base_transport import TransportParams
|
||||
from pipecat.transports.network.small_webrtc import SmallWebRTCTransport
|
||||
from pipecat.transports.network.webrtc_connection import SmallWebRTCConnection
|
||||
@@ -36,37 +37,35 @@ video_participant_id = None
|
||||
|
||||
BASE_FILENAME = "/tmp/pipecat_conversation_"
|
||||
tts = None
|
||||
webrtc_peer_id = None
|
||||
webrtc_peer_id = ""
|
||||
|
||||
|
||||
async def fetch_weather_from_api(function_name, tool_call_id, args, llm, context, result_callback):
|
||||
temperature = 75 if args["format"] == "fahrenheit" else 24
|
||||
await result_callback(
|
||||
async def fetch_weather_from_api(params: FunctionCallParams):
|
||||
temperature = 75 if params.arguments["format"] == "fahrenheit" else 24
|
||||
await params.result_callback(
|
||||
{
|
||||
"conditions": "nice",
|
||||
"temperature": temperature,
|
||||
"format": args["format"],
|
||||
"format": params.arguments["format"],
|
||||
"timestamp": datetime.now().strftime("%Y%m%d_%H%M%S"),
|
||||
}
|
||||
)
|
||||
|
||||
|
||||
async def get_image(function_name, tool_call_id, arguments, llm, context, result_callback):
|
||||
question = arguments["question"]
|
||||
async def get_image(params: FunctionCallParams):
|
||||
question = params.arguments["question"]
|
||||
logger.debug(f"Requesting image with user_id={webrtc_peer_id}, question={question}")
|
||||
|
||||
# Request the image frame
|
||||
await llm.request_image_frame(
|
||||
await params.llm.request_image_frame(
|
||||
user_id=webrtc_peer_id,
|
||||
function_name=function_name,
|
||||
tool_call_id=tool_call_id,
|
||||
function_name=params.function_name,
|
||||
tool_call_id=params.tool_call_id,
|
||||
text_content=question,
|
||||
)
|
||||
|
||||
|
||||
async def get_saved_conversation_filenames(
|
||||
function_name, tool_call_id, args, llm, context, result_callback
|
||||
):
|
||||
async def get_saved_conversation_filenames(params: FunctionCallParams):
|
||||
# Construct the full pattern including the BASE_FILENAME
|
||||
full_pattern = f"{BASE_FILENAME}*.json"
|
||||
|
||||
@@ -74,43 +73,43 @@ async def get_saved_conversation_filenames(
|
||||
matching_files = glob.glob(full_pattern)
|
||||
logger.debug(f"matching files: {matching_files}")
|
||||
|
||||
await result_callback({"filenames": matching_files})
|
||||
await params.result_callback({"filenames": matching_files})
|
||||
|
||||
|
||||
async def save_conversation(function_name, tool_call_id, args, llm, context, result_callback):
|
||||
async def save_conversation(params: FunctionCallParams):
|
||||
timestamp = datetime.now().strftime("%Y-%m-%d_%H:%M:%S")
|
||||
filename = f"{BASE_FILENAME}{timestamp}.json"
|
||||
logger.debug(
|
||||
f"writing conversation to {filename}\n{json.dumps(context.get_messages_for_logging(), indent=4)}"
|
||||
f"writing conversation to {filename}\n{json.dumps(params.context.get_messages_for_logging(), indent=4)}"
|
||||
)
|
||||
try:
|
||||
with open(filename, "w") as file:
|
||||
# todo: extract 'system' into the first message in the list
|
||||
messages = context.get_messages_for_persistent_storage()
|
||||
messages = params.context.get_messages_for_persistent_storage()
|
||||
# remove the last message (the instruction to save the context)
|
||||
messages.pop()
|
||||
json.dump(messages, file, indent=2)
|
||||
await result_callback({"success": True})
|
||||
await params.result_callback({"success": True})
|
||||
except Exception as e:
|
||||
logger.debug(f"error saving conversation: {e}")
|
||||
await result_callback({"success": False, "error": str(e)})
|
||||
await params.result_callback({"success": False, "error": str(e)})
|
||||
|
||||
|
||||
async def load_conversation(function_name, tool_call_id, args, llm, context, result_callback):
|
||||
async def load_conversation(params: FunctionCallParams):
|
||||
global tts
|
||||
filename = args["filename"]
|
||||
filename = params.arguments["filename"]
|
||||
logger.debug(f"loading conversation from {filename}")
|
||||
try:
|
||||
with open(filename, "r") as file:
|
||||
context.set_messages(json.load(file))
|
||||
await result_callback(
|
||||
params.context.set_messages(json.load(file))
|
||||
await params.result_callback(
|
||||
{
|
||||
"success": True,
|
||||
"message": "The most recent conversation has been loaded. Awaiting further instructions.",
|
||||
}
|
||||
)
|
||||
except Exception as e:
|
||||
await result_callback({"success": False, "error": str(e)})
|
||||
await params.result_callback({"success": False, "error": str(e)})
|
||||
|
||||
|
||||
# Test message munging ...
|
||||
|
||||
Reference in New Issue
Block a user