# Copyright 2025 Google LLC
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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# limitations under the License.
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# SPDX-License-Identifier: Apache-2.0
"""OpenAI hello sample.
Key features demonstrated in this sample:
| Feature Description | Example Function / Code Snippet |
|----------------------------------------------------------|----------------------------------------|
| Plugin Initialization | `ai = Genkit(plugins=[OpenAI()])` |
| Default Model Configuration | `ai = Genkit(model=...)` |
| Defining Flows | `@ai.flow()` decorator (multiple uses) |
| Defining Tools | `@ai.tool()` decorator (multiple uses) |
| Tool Input Schema (Pydantic) | `GablorkenInput` |
| Simple Generation (Prompt String) | `say_hi` |
| Generation with Messages (`Message`, `Role`, `TextPart`) | `say_hi_constrained` |
| Streaming Generation | `say_hi_stream` |
| Generation with Tools | `calculate_gablorken` |
| Tool Response Handling with context | `generate_character` |
"""
import os
from decimal import Decimal
from typing import Annotated, cast
import httpx
import structlog
from pydantic import BaseModel, Field
from genkit.ai import ActionRunContext, Genkit
from genkit.plugins.compat_oai import OpenAI, openai_model
if 'OPENAI_API_KEY' not in os.environ:
os.environ['OPENAI_API_KEY'] = input('Please enter your OPENAI_API_KEY: ')
logger = structlog.get_logger(__name__)
ai = Genkit(plugins=[OpenAI()], model=openai_model('gpt-4o'))
class CurrencyExchangeInput(BaseModel):
"""Currency exchange flow input schema."""
amount: float = Field(description='Amount to convert', default=100)
from_curr: str = Field(description='Source currency code', default='USD')
to_curr: str = Field(description='Target currency code', default='EUR')
class CurrencyInput(BaseModel):
"""Currency conversion input schema."""
amount: float = Field(description='Amount to convert')
from_currency: str = Field(description='Source currency code (e.g., USD)')
to_currency: str = Field(description='Target currency code (e.g., EUR)')
class GablorkenInput(BaseModel):
"""The Pydantic model for tools."""
value: int = Field(description='value to calculate gablorken for')
class HelloSchema(BaseModel):
"""Hello schema.
Args:
text: The text to say hello to.
receiver: The receiver of the hello.
"""
text: str
receiver: str
class MyInput(BaseModel):
"""My input."""
a: int = Field(default=5, description='a field')
b: int = Field(default=3, description='b field')
class Skills(BaseModel):
"""A set of core character skills for an RPG character."""
strength: int = Field(description='strength (0-100)')
charisma: int = Field(description='charisma (0-100)')
endurance: int = Field(description='endurance (0-100)')
gablorket: int = Field(description='gablorken (0-100)')
class RpgCharacter(BaseModel):
"""An RPG character."""
name: str = Field(description='name of the character')
back_story: str = Field(description='back story', alias='backStory')
abilities: list[str] = Field(description='list of abilities (3-4)')
skills: Skills
class WeatherRequest(BaseModel):
"""Weather request."""
latitude: Decimal
longitude: Decimal
class Temperature(BaseModel):
"""Temperature by location."""
location: str
temperature: Decimal
gablorken: Decimal
class WeatherResponse(BaseModel):
"""Weather response."""
answer: list[Temperature]
@ai.tool(description='calculates a gablorken', name='gablorkenTool')
def gablorken_tool(input_: GablorkenInput) -> int:
"""Calculate a gablorken.
Args:
input_: The input to calculate gablorken for.
Returns:
The calculated gablorken.
"""
return input_.value * 3 - 5
@ai.tool(description='Get current temperature for provided coordinates in celsius')
def get_weather_tool(coordinates: WeatherRequest) -> float:
"""Get the current temperature for provided coordinates in celsius.
Args:
coordinates: The coordinates to get the weather for.
Returns:
The current temperature for the provided coordinates.
"""
url = (
f'https://api.open-meteo.com/v1/forecast?'
f'latitude={coordinates.latitude}&longitude={coordinates.longitude}'
f'¤t=temperature_2m'
)
with httpx.Client() as client:
response = client.get(url)
data = response.json()
return float(data['current']['temperature_2m'])
@ai.tool()
def convert_currency(input: CurrencyInput) -> str:
"""Convert currency amount.
Args:
input: Currency conversion parameters.
Returns:
Converted amount.
"""
# Mock conversion rates
rates = {
('USD', 'EUR'): 0.85,
('EUR', 'USD'): 1.18,
('USD', 'GBP'): 0.73,
('GBP', 'USD'): 1.37,
}
rate = rates.get((input.from_currency, input.to_currency), 1.0)
converted = input.amount * rate
return f'{input.amount} {input.from_currency} = {converted:.2f} {input.to_currency}'
@ai.flow()
async def calculate_gablorken(value: Annotated[int, Field(default=42)] = 42) -> str:
"""Generate a request to calculate gablorken according to gablorken_tool.
Args:
value: Input data containing number
Returns:
A GenerateRequest object with the evaluation output
"""
response = await ai.generate(
prompt=f'what is the gablorken of {value}',
model=openai_model('gpt-4'),
tools=['gablorkenTool'],
)
return response.text
@ai.flow()
async def currency_exchange(input: CurrencyExchangeInput) -> str:
"""Convert currency using tools.
Args:
input: Currency exchange parameters.
Returns:
Conversion result.
"""
response = await ai.generate(
prompt=f'Convert {input.amount} {input.from_curr} to {input.to_curr}',
tools=['convert_currency'],
)
return response.text
@ai.flow()
async def generate_character(
name: Annotated[str, Field(default='Bartholomew')] = 'Bartholomew',
ctx: ActionRunContext = None, # type: ignore[assignment]
) -> RpgCharacter:
"""Generate an RPG character.
Args:
name: the name of the character
ctx: the context of the tool
Returns:
The generated RPG character.
"""
if ctx.is_streaming:
stream, result = ai.generate_stream(
prompt=f'generate an RPG character named {name} with gablorken based on 42',
output_schema=RpgCharacter,
config={'model': 'gpt-4o-2024-08-06', 'temperature': 1},
tools=['gablorkenTool'],
)
async for data in stream:
ctx.send_chunk(data.output)
return cast(RpgCharacter, (await result).output)
else:
result = await ai.generate(
prompt=f'generate an RPG character named {name} with gablorken based on 13',
output_schema=RpgCharacter,
config={'model': 'gpt-4o-2024-08-06', 'temperature': 1},
tools=['gablorkenTool'],
)
return cast(RpgCharacter, result.output)
@ai.flow()
async def get_weather_flow(location: Annotated[str, Field(default='New York')] = 'New York') -> str:
"""Get the weather for a location.
Args:
location: The location to get the weather for.
Returns:
The weather for the location.
"""
response = await ai.generate(
model=openai_model('gpt-4o-mini'),
system='You are an assistant that provides current weather information in JSON format.',
config={'model': 'gpt-4o-mini-2024-07-18', 'temperature': 1},
prompt=f"What's the weather like in {location} today?",
tools=['get_weather_tool'],
output_schema=WeatherResponse,
)
return response.text
@ai.flow()
async def get_weather_flow_stream(location: Annotated[str, Field(default='New York')] = 'New York') -> str:
"""Get the weather for a location using a stream.
Args:
location: The location to get the weather for.
Returns:
The weather for the location as a string.
"""
stream, _ = ai.generate_stream(
model=openai_model('gpt-4o'),
system='You are an assistant that provides current weather information in JSON format and calculates '
'gablorken based on weather value',
config={'model': 'gpt-4o-2024-08-06', 'temperature': 1},
prompt=f"What's the weather like in {location} today?",
tools=['get_weather_tool', 'gablorkenTool'],
output_schema=WeatherResponse,
)
result: str = ''
async for data in stream:
result += data.text
return result
@ai.flow()
async def say_hi(name: Annotated[str, Field(default='Alice')] = 'Alice') -> str:
"""Say hi to a name.
Args:
name: The name to say hi to.
Returns:
The response from the OpenAI API.
"""
response = await ai.generate(
model=openai_model('gpt-4o'),
config={'temperature': 1},
prompt=f'hi {name}',
)
return response.text
@ai.flow()
async def say_hi_constrained(hi_input: Annotated[str, Field(default='World')] = 'World') -> HelloSchema:
"""Generate a request to greet a user with response following `HelloSchema` schema.
Args:
hi_input: Input data containing user information.
Returns:
A `HelloSchema` object with the greeting message.
"""
response = await ai.generate(
prompt='hi ' + hi_input,
output_schema=HelloSchema,
)
return cast(HelloSchema, response.output)
@ai.flow()
async def say_hi_stream(name: Annotated[str, Field(default='Alice')] = 'Alice') -> str:
"""Say hi to a name and stream the response.
Args:
name: The name to say hi to.
Returns:
The response from the OpenAI API.
"""
stream, _ = ai.generate_stream(
model=openai_model('gpt-4'),
config={'model': 'gpt-4-0613', 'temperature': 1},
prompt=f'hi {name}',
)
result: str = ''
async for data in stream:
result += data.text
return result
@ai.flow()
def sum_two_numbers2(my_input: MyInput) -> int:
"""Sum two numbers.
Args:
my_input: The input to sum.
Returns:
The sum of the input.
"""
return my_input.a + my_input.b
async def main() -> None:
"""Main entry point for the OpenAI sample - keep alive for Dev UI."""
import asyncio
await logger.ainfo('Genkit server running. Press Ctrl+C to stop.')
# Keep the process alive for Dev UI
await asyncio.Event().wait()
if __name__ == '__main__':
ai.run_main(main())
