made the required changes.

Signed-off-by: sahil suman <sahilsuman933@gmail.com>

examples/foundational/14l-function-calling-openrouter.py

@@ -1,3 +1,9 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
 import asyncio
 import os
 import sys
@@ -5,6 +11,7 @@ import sys
 import aiohttp
 from dotenv import load_dotenv
 from loguru import logger
+from openai.types.chat import ChatCompletionToolParam
 from runner import configure
 
 from pipecat.audio.vad.silero import SileroVADAnalyzer
@@ -12,8 +19,8 @@ from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
 from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
-from pipecat.services.openrouter import OpenRouterLLMService
 from pipecat.services.azure import AzureTTSService
+from pipecat.services.openrouter import OpenRouterLLMService
 from pipecat.transports.services.daily import DailyParams, DailyTransport
 
 load_dotenv(override=True)
@@ -22,9 +29,17 @@ logger.remove(0)
 logger.add(sys.stderr, level="DEBUG")
 
 
-async def get_weather(function_name, tool_call_id, arguments, llm, context, result_callback):
-    location = arguments["location"]
-    await result_callback(f"The weather in {location} is currently 72 degrees and sunny.")
+async def start_fetch_weather(function_name, llm, context):
+    # note: we can't push a frame to the LLM here. the bot
+    # can interrupt itself and/or cause audio overlapping glitches.
+    # possible question for Aleix and Chad about what the right way
+    # to trigger speech is, now, with the new queues/async/sync refactors.
+    # await llm.push_frame(TextFrame("Let me check on that."))
+    logger.debug(f"Starting fetch_weather_from_api with function_name: {function_name}")
+
+
+async def fetch_weather_from_api(function_name, tool_call_id, args, llm, context, result_callback):
+    await result_callback({"conditions": "nice", "temperature": "75"})
 
 
 async def main():
@@ -51,33 +66,41 @@ async def main():
         )
 
         llm = OpenRouterLLMService(
-            api_key=os.getenv("OPENROUTER_API_KEY"), model="openai/chatgpt-4o-latest"
+            api_key=os.getenv("OPENROUTER_API_KEY"), model="openai/gpt-4o-2024-11-20"
         )
-        llm.register_function("get_weather", get_weather)
+        # Register a function_name of None to get all functions
+        # sent to the same callback with an additional function_name parameter.
+        llm.register_function(None, fetch_weather_from_api, start_callback=start_fetch_weather)
 
         tools = [
-            {
-                "name": "get_weather",
-                "description": "Get the current weather in a given location",
-                "input_schema": {
-                    "type": "object",
-                    "properties": {
-                        "location": {
-                            "type": "string",
-                            "description": "The city and state, e.g. San Francisco, CA",
-                        }
+            ChatCompletionToolParam(
+                type="function",
+                function={
+                    "name": "get_current_weather",
+                    "description": "Get the current weather",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "location": {
+                                "type": "string",
+                                "description": "The city and state, e.g. San Francisco, CA",
+                            },
+                            "format": {
+                                "type": "string",
+                                "enum": ["celsius", "fahrenheit"],
+                                "description": "The temperature unit to use. Infer this from the users location.",
+                            },
+                        },
+                        "required": ["location", "format"],
                     },
-                    "required": ["location"],
                 },
-            }
+            )
         ]
-
         messages = [
             {
                 "role": "system",
-                "content": "You are a helpful assistant and whenever you asked about weather trigger get_weather function.",
+                "content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way.",
             },
-            {"role": "user", "content": "Say 'hello' to start the conversation."},
         ]
 
         context = OpenAILLMContext(messages, tools)
@@ -85,16 +108,24 @@ async def main():
 
         pipeline = Pipeline(
             [
-                transport.input(),  # Transport user input
-                context_aggregator.user(),  # User spoken responses
-                llm,  # LLM
-                tts,  # TTS
-                transport.output(),  # Transport bot output
-                context_aggregator.assistant(),  # Assistant spoken responses and tool context
+                transport.input(),
+                context_aggregator.user(),
+                llm,
+                tts,
+                transport.output(),
+                context_aggregator.assistant(),
             ]
         )
 
-        task = PipelineTask(pipeline, PipelineParams(allow_interruptions=True, enable_metrics=True))
+        task = PipelineTask(
+            pipeline,
+            PipelineParams(
+                allow_interruptions=True,
+                enable_metrics=True,
+                enable_usage_metrics=True,
+                report_only_initial_ttfb=True,
+            ),
+        )
 
         @transport.event_handler("on_first_participant_joined")
         async def on_first_participant_joined(transport, participant):