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Llama API Client

LlamaAPI is a Python SDK for interacting with the Llama API. It abstracts away the handling of aiohttp sessions and headers, allowing for a simplified interaction with the API.

Installation

You can install the LlamaAPI SDK using pip:

pip install llamaapi

Usage

After installing the SDK, you can use it in your Python projects like so:

import json
from llamaapi import LlamaAPI

# Initialize the llamaapi with your api_token
llama = LlamaAPI("<your_api_token>")

# Define your API request
api_request_json = {
  "messages": [
    {"role": "user", "content": "Extract the desired information from the following passage.:\n\nHi!"},
  ],
  "functions": [
        {'name': 'information_extraction',
         'description': 'Extracts the relevant information from the passage.',
         'parameters': {
             'type': 'object',
             'properties': {
                 'sentiment': {
                    'title': 'sentiment',
                    'type': 'string',
                    'description': 'the sentiment encountered in the passage'
                    },
                 'aggressiveness': {
                    'title': 'aggressiveness',
                    'type': 'integer',
                    'description': 'a 0-10 score of how aggressive the passage is'
                    },
                 'language': {
                    'title': 'language',
                    'type': 'string',
                    'description': 'the language of the passage'
                    }
             },
             'required': ['sentiment', 'aggressiveness', 'language']
         }
      }
    ],
  "stream": False,
  "function_call": {"name": "information_extraction"},
}

# Make your request and handle the response
response = llama.run(api_request_json)
print(json.dumps(response.json(), indent=2))

Other parameters that you can pass in the request json is:

{
  ...
  "max_length" = 500,
  "temperature"= 0.1,
  "top_p"= 1.0,
  "frequency_penalty"=1.0
  ...
}

Note: Stream is still not working, so it is recommended to submit with stream: False.

Change Log

Version 0.1: Initial release

Contributing

We welcome contributions to this project. Please see the Contributing Guidelines for more details.

License

llamaapi SDK is licensed under the MIT License. Please see the License File for more details.

Metadata

Release files for llamaapi 0.1.36

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for llamaapi 0.1.36
File	Size	Uploaded
llamaapi-0.1.36.tar.gz	3.4 kB	Jul 31, 2023	Details

Built distribution (wheel)

Table of built distributions (wheels) for llamaapi 0.1.36
File	Interpreter	ABI	Platform	Reset
llamaapi-0.1.36-py3-none-any.whl 4.0 kB Jul 31, 2023	Python 3	none	any	Details

Total release size: 7.4 kB

Release files / llamaapi-0.1.36.tar.gz

Download URL	llamaapi-0.1.36.tar.gz
Size	3.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`e001f43d84a1906cb8136a787d31798b5201b37ab73cef464bcb53e61e688749`
BLAKE2b-256 checksum How to use checksums	`244de27d20984e87ebcf7c8dbab41a6d24fdf488fdd54a1ceed92463c9bc1b12`
Upload date	Jul 31, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/1.5.1 CPython/3.11.4 Darwin/22.4.0`

Release files / llamaapi-0.1.36-py3-none-any.whl

Download URL	llamaapi-0.1.36-py3-none-any.whl
Size	4.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`ec22534acf5f2d6adf7cff953e7c8d0621d0dfded94ea9377913648c41d3b7e9`
BLAKE2b-256 checksum How to use checksums	`fbafc49dee77acd982bb801efc2d2acd16f53fcbc56fc69beb5a0fc6b4d03aa0`
Upload date	Jul 31, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/1.5.1 CPython/3.11.4 Darwin/22.4.0`