Skip to main content

No project description provided

Project description

Lazy OpenAI

Lazy OpenAI is a Python library that simplifies interaction with OpenAI's API. It provides easy-to-use functions to generate text and structured outputs using Pydantic models.

Installation

To install Lazy OpenAI, run the following command:

pip install lazyopenai

Usage

from lazyopenai import generate

print(generate("Hi"))

Structured Outputs

from pydantic import BaseModel
from rich import print

from lazyopenai import generate


class Step(BaseModel):
    explanation: str
    output: str


class MathReasoning(BaseModel):
    steps: list[Step]
    final_answer: str


# https://platform.openai.com/docs/guides/structured-outputs?context=ex1#chain-of-thought
resp = generate("how can I solve 8x + 7 = -23", response_format=MathReasoning)
print(resp)

Function Calling

from pydantic import BaseModel
from pydantic import Field

from lazyopenai import generate


class AddNumbers(BaseModel):
    a: float = Field(..., description="The first integer")
    b: float = Field(..., description="The second integer")

    def __call__(self) -> str:
        print("function called")
        return str(self.a + self.b)


resp = generate(
    "100 + 10 = ?",
    tools=[AddNumbers],
)
print(resp)

TODO

  • Function calling
  • Memory
  • Async

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

lazyopenai-0.1.0-py3-none-any.whl (5.3 kB view details)

Uploaded Python 3

File details

Details for the file lazyopenai-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for lazyopenai-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 7b905a45fed98c8620fb4cfd48b29f6376403fbdb4ec04debc3f0b56dfba57b7
MD5 f55e60e80e53b698ba508604b4cbdc65
BLAKE2b-256 2f8876fb59fa2b9ed6b1f54a20fc66badc221df7d854419dbc50723cd97b2e97

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page