|
| 1 | +import os |
| 2 | +import unittest |
| 3 | + |
| 4 | +import typing |
| 5 | +import cohere |
| 6 | + |
| 7 | +aws_access_key = os.getenv("AWS_ACCESS_KEY") |
| 8 | +aws_secret_key = os.getenv("AWS_SECRET_KEY") |
| 9 | +aws_session_token = os.getenv("AWS_SESSION_TOKEN") |
| 10 | +aws_region = os.getenv("AWS_REGION") |
| 11 | +endpoint_type = os.getenv("ENDPOINT_TYPE") |
| 12 | + |
| 13 | +@unittest.skipIf(None == os.getenv("TEST_AWS"), "tests skipped because TEST_AWS is not set") |
| 14 | +class TestClient(unittest.TestCase): |
| 15 | + platform: str = "bedrock" |
| 16 | + client: cohere.AwsClient = cohere.BedrockClient( |
| 17 | + aws_access_key=aws_access_key, |
| 18 | + aws_secret_key=aws_secret_key, |
| 19 | + aws_session_token=aws_session_token, |
| 20 | + aws_region=aws_region, |
| 21 | + ) |
| 22 | + models: typing.Dict[str, str] = { |
| 23 | + "chat_model": "cohere.command-r-plus-v1:0", |
| 24 | + "embed_model": "cohere.embed-multilingual-v3", |
| 25 | + "generate_model": "cohere.command-text-v14", |
| 26 | + } |
| 27 | + |
| 28 | + def test_rerank(self) -> None: |
| 29 | + if self.platform != "sagemaker": |
| 30 | + self.skipTest("Only sagemaker supports rerank") |
| 31 | + |
| 32 | + docs = [ |
| 33 | + 'Carson City is the capital city of the American state of Nevada.', |
| 34 | + 'The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean. Its capital is Saipan.', |
| 35 | + 'Washington, D.C. (also known as simply Washington or D.C., and officially as the District of Columbia) is the capital of the United States. It is a federal district.', |
| 36 | + 'Capital punishment (the death penalty) has existed in the United States since beforethe United States was a country. As of 2017, capital punishment is legal in 30 of the 50 states.'] |
| 37 | + |
| 38 | + response = self.client.rerank( |
| 39 | + model=self.models["rerank_model"], |
| 40 | + query='What is the capital of the United States?', |
| 41 | + documents=docs, |
| 42 | + top_n=3, |
| 43 | + ) |
| 44 | + |
| 45 | + self.assertEqual(len(response.results), 3) |
| 46 | + |
| 47 | + def test_embed(self) -> None: |
| 48 | + response = self.client.embed( |
| 49 | + model=self.models["embed_model"], |
| 50 | + texts=["I love Cohere!"], |
| 51 | + input_type="search_document", |
| 52 | + ) |
| 53 | + print(response) |
| 54 | + |
| 55 | + def test_generate(self) -> None: |
| 56 | + response = self.client.generate( |
| 57 | + model=self.models["generate_model"], |
| 58 | + prompt='Please explain to me how LLMs work', |
| 59 | + ) |
| 60 | + print(response) |
| 61 | + |
| 62 | + def test_generate_stream(self) -> None: |
| 63 | + response = self.client.generate_stream( |
| 64 | + model=self.models["generate_model"], |
| 65 | + prompt='Please explain to me how LLMs work', |
| 66 | + ) |
| 67 | + for event in response: |
| 68 | + print(event) |
| 69 | + if event.event_type == "text-generation": |
| 70 | + print(event.text, end='') |
| 71 | + |
| 72 | + def test_chat(self) -> None: |
| 73 | + response = self.client.chat( |
| 74 | + model=self.models["chat_model"], |
| 75 | + message='Please explain to me how LLMs work', |
| 76 | + ) |
| 77 | + print(response) |
| 78 | + |
| 79 | + self.assertIsNotNone(response.text) |
| 80 | + self.assertIsNotNone(response.generation_id) |
| 81 | + self.assertIsNotNone(response.finish_reason) |
| 82 | + |
| 83 | + self.assertIsNotNone(response.meta) |
| 84 | + if response.meta is not None: |
| 85 | + self.assertIsNotNone(response.meta.tokens) |
| 86 | + if response.meta.tokens is not None: |
| 87 | + self.assertIsNotNone(response.meta.tokens.input_tokens) |
| 88 | + self.assertIsNotNone(response.meta.tokens.output_tokens) |
| 89 | + |
| 90 | + self.assertIsNotNone(response.meta.billed_units) |
| 91 | + if response.meta.billed_units is not None: |
| 92 | + self.assertIsNotNone(response.meta.billed_units.input_tokens) |
| 93 | + self.assertIsNotNone(response.meta.billed_units.input_tokens) |
| 94 | + |
| 95 | + def test_chat_stream(self) -> None: |
| 96 | + response_types = set() |
| 97 | + response = self.client.chat_stream( |
| 98 | + model=self.models["chat_model"], |
| 99 | + message='Please explain to me how LLMs work', |
| 100 | + ) |
| 101 | + for event in response: |
| 102 | + response_types.add(event.event_type) |
| 103 | + if event.event_type == "text-generation": |
| 104 | + print(event.text, end='') |
| 105 | + self.assertIsNotNone(event.text) |
| 106 | + if event.event_type == "stream-end": |
| 107 | + self.assertIsNotNone(event.finish_reason) |
| 108 | + self.assertIsNotNone(event.response) |
| 109 | + self.assertIsNotNone(event.response.text) |
| 110 | + |
| 111 | + self.assertSetEqual(response_types, {"text-generation", "stream-end"}) |
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