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': 'test'  # Use 'prod' for production environment
})

Getting All Prompts

# Get all prompts from a specific folder
prompts = client.get_all_prompts("your_folder_id")
print(prompts)

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=10,
    session_id="test_session",
    variables={}
)

print(response)

Complete Example

from promptstudio_sdk import PromptStudio

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

    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={}
        )
        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'
    })

    response = client.chat_with_prompt(
        prompt_id="test_prompt",
        user_message=[{"type": "text", "text": "Hello"}],
        memory_type="fullMemory",
        window_size=10,
        session_id="test_session",
        variables={}
    )

    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", "summarizedMemory"]

# 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',
        'env': 'test'
    })
    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-1.0.93.tar.gz (26.0 kB view details)

Uploaded Source

Built Distribution

promptstudio_sdk-1.0.93-py3-none-any.whl (29.2 kB view details)

Uploaded Python 3

File details

Details for the file promptstudio_sdk-1.0.93.tar.gz.

File metadata

  • Download URL: promptstudio_sdk-1.0.93.tar.gz
  • Upload date:
  • Size: 26.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for promptstudio_sdk-1.0.93.tar.gz
Algorithm Hash digest
SHA256 1e9757255f8f49559f8902ede8697fe2b727d98652afe40c72bd969f3012c674
MD5 a47a4cd2ed2e423e66bc182b010eab01
BLAKE2b-256 79fbb995cc3f32cacedcb4bd7aea28a1d44715db63fd49a8cb9308135f4a01bf

See more details on using hashes here.

File details

Details for the file promptstudio_sdk-1.0.93-py3-none-any.whl.

File metadata

File hashes

Hashes for promptstudio_sdk-1.0.93-py3-none-any.whl
Algorithm Hash digest
SHA256 e59940ef16fa22c0fe0fcf222c1caf414c0a3c27adab08fe0e658e0466714420
MD5 bad690dd7f97e09303abf2b9069bc1ea
BLAKE2b-256 73c0c4c6edd6b87e0971f0ddf086a5f0c52771721ca041efcbb46ca95375378e

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