WatsonxConnector 0.0.1

IBM Watsonx API wrapper package for calling text generation and embedding requests

IBM Watsonx API wrapper package for calling text generation and embedding requests

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Usage / Examples

example_connector_obj = WatsonxConnector(base_url=cp4d_url,
                                         user_name=user_name,
                                         api_key=api_key,
                                         model_id=model_id,
                                         project_id=project_id
                                         )

for model, model_type in example_connector_obj.get_available_models().items():
    print(f"{model}: {model_type}")

example_connector_obj.set_model_params(temperature=0.7, max_new_tokens=800)
print(example_connector_obj.get_model_params())

print(example_connector_obj.generate_text("Write an example python unittest"))

example_connector_obj.set_model_id(model_id="ibm/slate-125m-english-rtrvr")
for embed in example_connector_obj.generate_embedding(["something", "something else"]):
    print(embed)

Example output from above:

codellama/codellama-34b-instruct-hf: text_generation ibm/granite-13b-chat-v2: text_generation ibm/slate-125m-english-rtrvr: embedding ibm/slate-30m-english-rtrvr: embedding meta-llama/llama-3-70b-instruct: text_generation

{'decoding_method': 'sample', 'max_new_tokens': 800, 'temperature': 0.7, 'top_k': 20, 'top_p': 0.9, 'repetition_penalty': 1.1}

import unittest
from mymodule import my_function

class MyTest(unittest.TestCase):

    def test_my_function(self):
        result = my_function('hello world')
        self.assertEqual(result, 'Hello World')

if __name__ == '__main__':
    unittest.main()

This is an example of a simple Python unit test using the unittest module. In this case, we define a new class called MyTest which inherits from unittest.TestCase. This allows us to use all the methods provided by the unittest.TestCase class, such as setUp() and tearDown().

Inside the test_my_function() method, we call the function we want to test (my_function) and provide it with a string argument ('hello world' in this case). We then use the assertEqual() method to check if the result of the function call matches the expected value ('Hello World' in this case).

Finally, we run the tests by calling unittest.main() in our script. This will execute all the tests defined in the current module (in this case, just the one test defined in MyTest).

In summary, this is a basic example of how to write a unit test in Python using the unittest module. Unit testing is a great way to ensure that your functions are working as intended and catching issues early in the development process.

[-0.024465775, -0.0329509, -0.00046468992, -0.017108368, ... 0.017113319, 0.01991029, -0.010878863, 0.005576967] [-0.037240397, -0.04046932, -0.03115683, -0.034350585, ... 0.020475477, 0.05027425, 0.006514402, 0.0150749]

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List of available class methods:

• set_system_prompt()
• set_model_id()
• set_model_params()
• set_api_version()
• set_project_id()
• get_model_id()
• get_auth_token()
• get_model_params()
• get_available_models()
• check_model_type()
• generate_text()
• generate_embedding()
• generate_auth_token()

License

Apache-2.0