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Project description
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
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