Skip to main content

Cloud Security Alliance AI Foundation Model API Clients

Project description

Cloud Security Alliance AI Foundation Model API Clients

You can get this library at https://pypi.org/project/csa-ai-foundation-model-api-clients/ or via:

pip install csa-ai-foundation-model-api-clients

This Python library (csa_ai_foundation_model_api_clients) provides API access to text completions for:

  • Anthropic Claude 3
  • Google Gemini 1.5
  • OpenAI ChatGPT 4 gpt-4o

and has plans to add:

  • OpenAI ChatGPT 4 batch mode

You can set the following options:

  • system prompt (aka developer prompt, persona)
  • user prompt (aka instructions)
  • user data (as part of the user prompt)
  • temperature
  • max_tokens

and has plans to add:

  • top_p
  • top_k
  • model specific paramaters

Please note this code does not have tests, or good error handling, but it works. Also with respect to handling rate limiting that is on the todo, but currently if you use this tool put a sleep statement to slow it down.

The code will be looking for the API key as an env variable:

  • ANTHROPIC_CLAUDE_API_KEY
  • GOOGLE_GEMINI_API_KEY
  • OPENAI_CHATGPT_API_KEY

Examples:

Using this as a library:

#!/usr/bin/env python3

from csa_ai_foundation_model_api_clients import FoundationModelAPIClient

def main():
    model = 'claude'
    system_prompt = "You are a helpful assistant who answers in rhyme."
    user_prompt = "What is the capital of "
    user_data = "France?"
    output_file = 'claude-response.json'

    FoundationModelAPIClient(
        model=model,
        system_prompt=system_prompt,
        system_prompt_type="text",
        user_prompt=user_prompt,
        user_prompt_type="text",
        user_data=user_data,
        user_data_type="text",
        temperature=0.7,
        max_tokens=100,
        output_file=output_file
    )

if __name__ == '__main__':
    main()

Using this as a command line tool by calling it as a module (please note all prompts MUST be files currently when used as a command line tool):

python3 -m csa_ai_foundation_model_api_clients.csa_ai_foundation_model_api_clients \
    --model chatgpt \
    --system system-prompt.txt \
    --user-prompt user-prompt.txt \
    --user-data user-data.txt \
    --output output.json \
    --temperature 0.9 \
    --max_tokens 2000

Project details


Download files

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

Source Distribution

csa_ai_foundation_model_api_clients-0.1.11.tar.gz (12.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file csa_ai_foundation_model_api_clients-0.1.11.tar.gz.

File metadata

File hashes

Hashes for csa_ai_foundation_model_api_clients-0.1.11.tar.gz
Algorithm Hash digest
SHA256 3c88a166e3fda266cb8c8debb11a781cc3b3b19c510f75eb6af926c464574aa6
MD5 2402339ece5d9cec947243f44e628a21
BLAKE2b-256 d2b662326600c9457cfb95563e58681416ed7c4686694abc57391cc8197fdd45

See more details on using hashes here.

File details

Details for the file csa_ai_foundation_model_api_clients-0.1.11-py3-none-any.whl.

File metadata

File hashes

Hashes for csa_ai_foundation_model_api_clients-0.1.11-py3-none-any.whl
Algorithm Hash digest
SHA256 6901288ccbf2597c560fc5264bf6c1c752eacfaf2000f661ed9b6c628692ff7c
MD5 cb6d4737a747603c4db2f73ff869e19d
BLAKE2b-256 f70b2fbf18af09fa86759b72acd0608a0b32880bf104409da99c496d11183661

See more details on using hashes here.

Supported by

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