Skip to main content

A Python SDK for PromptStudio

Project description

PromptStudio Python SDK

A Python SDK for interacting with PromptStudio API and AI platforms directly.

Installation

From PyPI (Coming Soon)

pip install promptstudio-sdk

From Source

git clone https://github.com/your-repo/promptstudio-sdk.git
cd promptstudio-sdk
pip install -e .

Development Setup

  1. Create a virtual environment:
python -m venv venv
  1. Activate the virtual environment:
# On Windows
venv\Scripts\activate

# On Unix or MacOS
source venv/bin/activate
  1. Install dependencies:
pip install -r requirements.txt

Usage

Initializing the SDK

from promptstudio_sdk import PromptStudio

client = PromptStudio({
    'api_key': 'YOUR_API_KEY',
    'env': 'prod',  # Use 'prod' for production environment
    'bypass': True
})

Configuration Options

bypass (default: False)

The bypass parameter determines whether to use the local AI provider directly or route requests through PromptStudio's API:

  • When bypass=True: Requests go directly to the AI provider, bypassing PromptStudio's API
  • When bypass=False: Requests are routed through PromptStudio's API for additional processing and logging

is_session_enabled (default: True)

The is_session_enabled parameter controls whether the chat maintains conversation history:

  • When True: The conversation history is maintained between requests using the provided session_id
  • When False: Each request is treated independently with no conversation history

Example with explicit configuration:

client = PromptStudio({
    'api_key': 'YOUR_API_KEY',
    'env': 'prod',
    'bypass': False  # Route through PromptStudio API (default)
})

response = client.chat_with_prompt(
    prompt_id="your_prompt_id",
    user_message=[{"type": "text", "text": "Hello"}],
    session_id="test_session",
    is_session_enabled=True  # Enable conversation history (default)
)

Chatting with a Prompt

response = client.chat_with_prompt(
    prompt_id="your_prompt_id",
    user_message=[
        {
            "type": "text",
            "text": "Hello, how are you?"
        }
    ],
    memory_type="fullMemory",
    window_size=0,
    session_id="test_session",
    variables={},
    is_session_enabled=True,
)

print(response)

Complete Example

from promptstudio_sdk import PromptStudio

def main():
    # Initialize the client
    client = PromptStudio({
        'api_key': 'YOUR_API_KEY',
        'env': 'test',
        'bypass': True
    })

    try:
        # Get all prompts
        prompts = client.get_all_prompts("your_folder_id")
        print("Available prompts:", prompts)

        # Chat with a specific prompt
        response = client.chat_with_prompt(
            prompt_id="your_prompt_id",
            user_message=[
                {
                    "type": "text",
                    "text": "Hello, how are you?"
                }
            ],
            memory_type="windowMemory",
            window_size=10,
            session_id="test_session",
            variables={},
            is_session_enabled=True,
        )
        print("Chat response:", response)

    except Exception as e:
        print(f"An error occurred: {e}")

if __name__ == "__main__":
    main()

Testing

Setting Up Tests

  1. Install test dependencies:
pip install pytest pytest-cov
  1. Create a .env file in the root directory with your test credentials:
PROMPTSTUDIO_API_KEY=your_test_api_key
PROMPTSTUDIO_ENV=test

Running Tests

Run all tests:

pytest

Run tests with coverage:

pytest --cov=promptstudio_sdk

Writing Tests

Create test files in the tests directory. Here's an example test:

import pytest
from promptstudio_sdk import PromptStudio

def test_chat_with_prompt():
    client = PromptStudio({
        'api_key': 'test_api_key',
        'env': 'test',
        'bypass': True

    })

    response = client.chat_with_prompt(
        prompt_id: str,
        user_message: List[Dict[str, Union[str, Dict[str, str]]]],
        memory_type: str,
        window_size: int,
        session_id: str,
        variables: Dict[str, str],
        version: Optional[int] = None,
        is_session_enabled: Optional[bool] = True,
    )

    assert isinstance(response, dict)
    assert 'response' in response

Type Hints

The SDK uses Python type hints for better IDE support and code documentation. Here are some key types:

from typing import Dict, List, Union, Optional

# Message types
ImageMessage = Dict[str, Union[str, Dict[str, str]]]  # {"type": "image_url", "image_url": {"url": "..."}}
TextMessage = Dict[str, str]  # {"type": "text", "text": "..."}
UserMessage = List[Union[ImageMessage, TextMessage]]

# Memory types
Memory = Literal["fullMemory", "windowMemory"]

# Request payload
RequestPayload = Dict[str, Union[UserMessage, Memory, int, str, Dict[str, str], Optional[int]]]

Error Handling

The SDK raises exceptions for various error cases:

from promptstudio_sdk import PromptStudio

try:
    client = PromptStudio({
        'api_key': 'YOUR_API_KEY_from_promptstudio',
        'env': 'test',
        'bypass': True
    })
    response = client.chat_with_prompt(...)
except requests.exceptions.HTTPError as e:
    print(f"HTTP error occurred: {e}")
except requests.exceptions.RequestException as e:
    print(f"Network error occurred: {e}")
except Exception as e:
    print(f"An error occurred: {e}")

Contributing

  1. Fork the repository
  2. Create a new branch for your feature
  3. Make your changes
  4. Run the tests to ensure everything works
  5. Submit a pull request

License

This SDK is released under the MIT License.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

promptstudio_sdk-1.0.199.tar.gz (35.5 kB view details)

Uploaded Source

Built Distribution

promptstudio_sdk-1.0.199-py3-none-any.whl (29.4 kB view details)

Uploaded Python 3

File details

Details for the file promptstudio_sdk-1.0.199.tar.gz.

File metadata

  • Download URL: promptstudio_sdk-1.0.199.tar.gz
  • Upload date:
  • Size: 35.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for promptstudio_sdk-1.0.199.tar.gz
Algorithm Hash digest
SHA256 2dcc339a5ff7c115b1136efe1a0122a185557aae9296e221fc2a0e374d0dccbf
MD5 7e1f093aefe69e9ab4783239f834e942
BLAKE2b-256 f5e1a333e99340cc433d4a6addeeb4ef029b73199039e57ebf6cf3c026bf37bd

See more details on using hashes here.

File details

Details for the file promptstudio_sdk-1.0.199-py3-none-any.whl.

File metadata

File hashes

Hashes for promptstudio_sdk-1.0.199-py3-none-any.whl
Algorithm Hash digest
SHA256 202c911d6ab57321385d4490112c257ab4fa8d6e03113fe3bba3130b64327eba
MD5 ddd9aefaa6a03471401faf1a7dcf21e0
BLAKE2b-256 261be3f4d0618218038c96dc854830ca2f46494e8e3cc4e5dbccb9bf19795e74

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