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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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37
examples/foundational/20a-persistent-context-openai.py
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@@ -23,6 +23,7 @@ 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.llm_service import FunctionCallParams
from pipecat.services.openai.llm import OpenAILLMService
from pipecat.transports.base_transport import TransportParams
from pipecat.transports.network.small_webrtc import SmallWebRTCTransport
@@ -35,21 +36,19 @@ BASE_FILENAME = "/tmp/pipecat_conversation_"
tts = None
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_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"
@@ -57,37 +56,39 @@ 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.messages, indent=4)}")
logger.debug(
f"writing conversation to {filename}\n{json.dumps(params.context.messages, indent=4)}"
)
try:
with open(filename, "w") as file:
messages = context.get_messages_for_persistent_storage()
messages = params.context.get_messages_for_persistent_storage()
# remove the last message, which is the instruction we just gave to save the conversation
messages.pop()
json.dump(messages, file, indent=2)
await result_callback({"success": True})
await params.result_callback({"success": True})
except Exception as 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))
params.context.set_messages(json.load(file))
logger.debug(
f"loaded conversation from {filename}\n{json.dumps(context.messages, indent=4)}"
f"loaded conversation from {filename}\n{json.dumps(params.context.messages, indent=4)}"
)
await tts.say("Ok, I've loaded that conversation.")
except Exception as e:
await result_callback({"success": False, "error": str(e)})
await params.result_callback({"success": False, "error": str(e)})
messages = [