קריאה לפונקציות באמצעות Gemini API

from google.genai import types

# Define a function that the model can call to control smart lights
set_light_values_declaration = {
    "name": "set_light_values",
    "description": "Sets the brightness and color temperature of a light.",
    "parameters": {
        "type": "object",
        "properties": {
            "brightness": {
                "type": "integer",
                "description": "Light level from 0 to 100. Zero is off and 100 is full brightness",
            },
            "color_temp": {
                "type": "string",
                "enum": ["daylight", "cool", "warm"],
                "description": "Color temperature of the light fixture, which can be `daylight`, `cool` or `warm`.",
            },
        },
        "required": ["brightness", "color_temp"],
    },
}

# This is the actual function that would be called based on the model's suggestion
def set_light_values(brightness: int, color_temp: str) -> dict[str, int | str]:
    """Set the brightness and color temperature of a room light. (mock API).

    Args:
        brightness: Light level from 0 to 100. Zero is off and 100 is full brightness
        color_temp: Color temperature of the light fixture, which can be `daylight`, `cool` or `warm`.

    Returns:
        A dictionary containing the set brightness and color temperature.
    """
    return {"brightness": brightness, "colorTemperature": color_temp}

from google import genai

# Generation Config with Function Declaration
tools = types.Tool(function_declarations=[set_light_values_declaration])
config = types.GenerateContentConfig(tools=[tools])

# Configure the client
client = genai.Client(api_key=os.getenv("GEMINI_API_KEY"))

# Define user prompt
contents = [
    types.Content(
        role="user", parts=[types.Part(text="Turn the lights down to a romantic level")]
    )
]

# Send request with function declarations
response = client.models.generate_content(
    model="gemini-2.0-flash", config=config, contents=contents
)

print(response.candidates[0].content.parts[0].function_call)

id=None args={'color_temp': 'warm', 'brightness': 25} name='set_light_values'

# Extract tool call details
tool_call = response.candidates[0].content.parts[0].function_call

if tool_call.name == "set_light_values":
    result = set_light_values(**tool_call.args)
    print(f"Function execution result: {result}")

# Create a function response part
function_response_part = types.Part.from_function_response(
    name=tool_call.name,
    response={"result": result},
)

# Append function call and result of the function execution to contents
contents.append(types.Content(role="model", parts=[types.Part(function_call=tool_call)])) # Append the model's function call message
contents.append(types.Content(role="user", parts=[function_response_part])) # Append the function response

final_response = client.models.generate_content(
    model="gemini-2.0-flash",
    config=config,
    contents=contents,
)

print(final_response.text)

power_disco_ball = {
    "name": "power_disco_ball",
    "description": "Powers the spinning disco ball.",
    "parameters": {
        "type": "object",
        "properties": {
            "power": {
                "type": "boolean",
                "description": "Whether to turn the disco ball on or off.",
            }
        },
        "required": ["power"],
    },
}

start_music = {
    "name": "start_music",
    "description": "Play some music matching the specified parameters.",
    "parameters": {
        "type": "object",
        "properties": {
            "energetic": {
                "type": "boolean",
                "description": "Whether the music is energetic or not.",
            },
            "loud": {
                "type": "boolean",
                "description": "Whether the music is loud or not.",
            },
        },
        "required": ["energetic", "loud"],
    },
}

dim_lights = {
    "name": "dim_lights",
    "description": "Dim the lights.",
    "parameters": {
        "type": "object",
        "properties": {
            "brightness": {
                "type": "number",
                "description": "The brightness of the lights, 0.0 is off, 1.0 is full.",
            }
        },
        "required": ["brightness"],
    },
}

from google import genai
from google.genai import types

# Set up function declarations
house_tools = [
    types.Tool(function_declarations=[power_disco_ball, start_music, dim_lights])
]

config = {
    "tools": house_tools,
    "automatic_function_calling": {"disable": True},
    # Force the model to call 'any' function, instead of chatting.
    "tool_config": {"function_calling_config": {"mode": "any"}},
}

# Configure the client
client = genai.Client(api_key=os.getenv("GEMINI_API_KEY"))

chat = client.chats.create(model="gemini-2.0-flash", config=config)
response = chat.send_message("Turn this place into a party!")

# Print out each of the function calls requested from this single call
print("Example 1: Forced function calling")
for fn in response.function_calls:
    args = ", ".join(f"{key}={val}" for key, val in fn.args.items())
    print(f"{fn.name}({args})")

from google import genai
from google.genai import types

# Actual implementation functions
def power_disco_ball_impl(power: bool) -> dict:
    """Powers the spinning disco ball.

    Args:
        power: Whether to turn the disco ball on or off.

    Returns:
        A status dictionary indicating the current state.
    """
    return {"status": f"Disco ball powered {'on' if power else 'off'}"}

def start_music_impl(energetic: bool, loud: bool) -> dict:
    """Play some music matching the specified parameters.

    Args:
        energetic: Whether the music is energetic or not.
        loud: Whether the music is loud or not.

    Returns:
        A dictionary containing the music settings.
    """
    music_type = "energetic" if energetic else "chill"
    volume = "loud" if loud else "quiet"
    return {"music_type": music_type, "volume": volume}

def dim_lights_impl(brightness: float) -> dict:
    """Dim the lights.

    Args:
        brightness: The brightness of the lights, 0.0 is off, 1.0 is full.

    Returns:
        A dictionary containing the new brightness setting.
    """
    return {"brightness": brightness}

config = {
    "tools": [power_disco_ball_impl, start_music_impl, dim_lights_impl],
}

chat = client.chats.create(model="gemini-2.0-flash", config=config)
response = chat.send_message("Do everything you need to this place into party!")

print("\nExample 2: Automatic function calling")
print(response.text)
# I've turned on the disco ball, started playing loud and energetic music, and dimmed the lights to 50% brightness. Let's get this party started!

# Light control schemas
turn_on_the_lights_schema = {'name': 'turn_on_the_lights'}
turn_off_the_lights_schema = {'name': 'turn_off_the_lights'}

prompt = """
  Hey, can you write run some python code to turn on the lights, wait 10s and then turn off the lights?
  """

tools = [
    {'code_execution': {}},
    {'function_declarations': [turn_on_the_lights_schema, turn_off_the_lights_schema]}
]

await run(prompt, tools=tools, modality="AUDIO")

from google.genai import types

# Configure function calling mode
tool_config = types.ToolConfig(
    function_calling_config=types.FunctionCallingConfig(
        mode="ANY", allowed_function_names=["get_current_temperature"]
    )
)

# Create the generation config
config = types.GenerateContentConfig(
    temperature=0,
    tools=[tools],  # not defined here.
    tool_config=tool_config,
)

from google import genai
from google.genai import types

# Define the function with type hints and docstring
def get_current_temperature(location: str) -> dict:
    """Gets the current temperature for a given location.

    Args:
        location: The city and state, e.g. San Francisco, CA

    Returns:
        A dictionary containing the temperature and unit.
    """
    # ... (implementation) ...
    return {"temperature": 25, "unit": "Celsius"}

# Configure the client and model
client = genai.Client(api_key=os.getenv("GEMINI_API_KEY"))  # Replace with your actual API key setup
config = types.GenerateContentConfig(
    tools=[get_current_temperature]
)  # Pass the function itself

# Make the request
response = client.models.generate_content(
    model="gemini-2.0-flash",
    contents="What's the temperature in London?",
    config=config,
)

print(response.text)  # The SDK handles the function call and returns the final text

# To disable automatic function calling:
config = types.GenerateContentConfig(
    tools=[get_current_temperature],
    automatic_function_calling=types.AutomaticFunctionCallingConfig(disable=True)
)

AllowedType = (int | float | bool | str | list['AllowedType'] | dict[str, AllowedType])

def multiply(a: float, b: float):
    """Returns a * b."""
    return a * b

fn_decl = types.FunctionDeclaration.from_callable(callable=multiply, client=client)

# to_json_dict() provides a clean JSON representation.
print(fn_decl.to_json_dict())

# Multiple tasks example - combining lights, code execution, and search
prompt = """
  Hey, I need you to do three things for me.

    1.  Turn on the lights.
    2.  Then compute the largest prime palindrome under 100000.
    3.  Then use Google Search to look up information about the largest earthquake in California the week of Dec 5 2024.

  Thanks!
  """

tools = [
    {'google_search': {}},
    {'code_execution': {}},
    {'function_declarations': [turn_on_the_lights_schema, turn_off_the_lights_schema]} # not defined here.
]

# Execute the prompt with specified tools in audio modality
await run(prompt, tools=tools, modality="AUDIO")