Package Health Score

81 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Active

Popularity

Small

GitHub Stars: 7.92K
Forks: 634
Contributors: 180

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package qrev-instructor, we found that it has been starred 7,925 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 5, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 48
Open PR: 7
Last Release: 18 days ago
Last Commit: 25 days ago

Further analysis of the maintenance status of qrev-instructor based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that qrev-instructor demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 180
Funding: Yes

A good and healthy external contribution signal for qrev-instructor project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: <4.0,>=3.11

Age: 4 months
Latest Release: 18 days ago
Dependencies: 0 Direct
Versions: 10
Maintainers: 1
Wheels: OS Independent

Readme

QRev Instructor

QRev Instructor is a Python wrapper around the instructor module, providing a unified interface for working with different language models from OpenAI and Anthropic.

Features

Supports both OpenAI and Anthropic models
Easy-to-use client initialization
Automatic model type detection
Case-insensitive enum handling
Extensible for other API types

Installation

To install QRev Instructor, use pip:

pip install qrev-instructor

For Anthropic (Claude models)

pip install qrev-instructor[anthropic]

Usage

Here's a basic example of how to use QRev Instructor:

from qrev_instructor import get_client
from pydantic import BaseModel

class User(BaseModel):
    name: str
    age: int

model_name="gpt-3.5-turbo" # for OpenAI
# model_name="claude-3-haiku-20240307" # uncomment for Anthropic

# Initialize the client
client = get_client(model=model_name)

# Use the client to create a response
response = client.messages.create(
    model=model_name,
    messages=[
        {
            "role": "user",
            "content": "Jason is 25 years old.",
        }
    ],
    response_model=User
)

print(f"Name: {response.name}, Age: {response.age}")
# prints "Name: Jason, Age: 25"

Supported Models

Anthropic Models:

CLAUDE_3_OPUS_20240229 = "claude-3-opus-20240229"
CLAUDE_3_HAIKU_20240307 = "claude-3-haiku-20240307"
CLAUDE_3_5_SONNET_20240620 = "claude-3-5-sonnet-20240620"
CLAUDE_3_SONNET_20240229 = "claude-3-sonnet-20240229"

OpenAI Models:

GPT_3_5_TURBO_0125 = "gpt-3.5-turbo-0125"
GPT_3_5_TURBO = "gpt-3.5-turbo"
GPT_3_5_TURBO_INSTRUCT = "gpt-3.5-turbo-instruct"
GPT_4 = "gpt-4"
GPT_4O = "gpt-4o"
GPT_4O_2024_05_13 = "gpt-4o-2024-05-13"
DAVINCI = "davinci"
CURIE = "curie"

Testing

The package includes pytest-based tests for both OpenAI and Anthropic clients. To run the tests:

make test

Dependencies

instructor
anthropic (optional, for Anthropic models)
pydantic

FAQs

What is qrev-instructor?

. Visit Snyk Advisor to see a full health score report for qrev-instructor, including popularity, security, maintenance & community analysis.

Is qrev-instructor popular?

We’re still processing downloads data for the python package qrev-instructor. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is qrev-instructor well maintained?

We found that qrev-instructor demonstrated a healthy version release cadence and project activity. It has a community of 180 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is qrev-instructor safe to use?

The python package qrev-instructor was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 22 November-2024, at 21:00 (UTC).

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Package Health Score

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Package

Readme

QRev Instructor

Features

Installation

Usage

Supported Models

Anthropic Models:

OpenAI Models:

Testing

Dependencies

FAQs

What is qrev-instructor?

Is qrev-instructor popular?

Is qrev-instructor well maintained?

Is qrev-instructor safe to use?

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Package Health Score

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Commit Frequency

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Readme

QRev Instructor

Features

Installation

Usage

Supported Models

Anthropic Models:

OpenAI Models:

Testing

Dependencies

FAQs

What is qrev-instructor?

Is qrev-instructor popular?

Is qrev-instructor well maintained?

Is qrev-instructor safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

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Config

Fix identified vulnerabilities

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