mirror of
https://github.com/BerriAI/litellm.git
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320 lines
12 KiB
Python
320 lines
12 KiB
Python
import sys, os
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import traceback
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from dotenv import load_dotenv
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load_dotenv()
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import os
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sys.path.insert(0, os.path.abspath('../..')) # Adds the parent directory to the system path
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import pytest
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import litellm
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from litellm import embedding, completion
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# from infisical import InfisicalClient
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# litellm.set_verbose = True
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# litellm.secret_manager_client = InfisicalClient(token=os.environ["INFISICAL_TOKEN"])
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user_message = "Hello, whats the weather in San Francisco??"
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messages = [{ "content": user_message,"role": "user"}]
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def logger_fn(user_model_dict):
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print(f"user_model_dict: {user_model_dict}")
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def test_completion_claude():
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try:
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response = completion(model="claude-instant-1", messages=messages, logger_fn=logger_fn)
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# Add any assertions here to check the response
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print(response)
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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def test_completion_claude_stream():
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try:
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messages = [
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "how does a court case get to the Supreme Court?"}
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]
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response = completion(model="claude-2", messages=messages, stream=True)
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# Add any assertions here to check the response
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for chunk in response:
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print(chunk['choices'][0]['delta']) # same as openai format
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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# def test_completion_hf_api():
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# try:
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# user_message = "write some code to find the sum of two numbers"
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# messages = [{ "content": user_message,"role": "user"}]
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# response = completion(model="stabilityai/stablecode-completion-alpha-3b-4k", messages=messages, custom_llm_provider="huggingface")
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# # Add any assertions here to check the response
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# print(response)
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# except Exception as e:
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# pytest.fail(f"Error occurred: {e}")
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# def test_completion_hf_deployed_api():
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# try:
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# user_message = "There's a llama in my garden 😱 What should I do?"
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# messages = [{ "content": user_message,"role": "user"}]
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# response = completion(model="meta-llama/Llama-2-7b-chat-hf", messages=messages, custom_llm_provider="huggingface", custom_api_base="https://s7c7gytn18vnu4tw.us-east-1.aws.endpoints.huggingface.cloud", logger_fn=logger_fn)
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# # Add any assertions here to check the response
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# print(response)
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# except Exception as e:
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# pytest.fail(f"Error occurred: {e}")
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def test_completion_cohere():
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try:
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response = completion(model="command-nightly", messages=messages, max_tokens=500)
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# Add any assertions here to check the response
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print(response)
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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def test_completion_cohere_stream():
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try:
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messages = [
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "how does a court case get to the Supreme Court?"}
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]
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response = completion(model="command-nightly", messages=messages, stream=True, max_tokens=50)
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# Add any assertions here to check the response
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for chunk in response:
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print(chunk['choices'][0]['delta']) # same as openai format
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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def test_completion_openai():
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try:
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response = completion(model="gpt-3.5-turbo", messages=messages)
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# Add any assertions here to check the response
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print(response)
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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def test_completion_text_openai():
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try:
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response = completion(model="text-davinci-003", messages=messages)
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# Add any assertions here to check the response
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print(response)
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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def test_completion_openai_with_optional_params():
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try:
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response = completion(model="gpt-3.5-turbo", messages=messages, temperature=0.5, top_p=0.1, user="ishaan_dev@berri.ai")
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# Add any assertions here to check the response
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print(response)
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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def test_completion_openrouter():
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try:
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response = completion(model="google/palm-2-chat-bison", messages=messages, temperature=0.5, top_p=0.1, user="ishaan_dev@berri.ai")
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# Add any assertions here to check the response
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print(response)
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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def test_completion_openai_with_more_optional_params():
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try:
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response = completion(model="gpt-3.5-turbo", messages=messages, temperature=0.5, top_p=0.1, n=2, max_tokens=150, presence_penalty=0.5, frequency_penalty=-0.5, logit_bias={123: 5}, user="ishaan_dev@berri.ai")
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# Add any assertions here to check the response
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print(response)
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response_str = response['choices'][0]['message']['content']
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response_str_2 = response.choices[0].message.content
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print(response['choices'][0]['message']['content'])
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print(response.choices[0].message.content)
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if type(response_str) != str:
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pytest.fail(f"Error occurred: {e}")
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if type(response_str_2) != str:
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pytest.fail(f"Error occurred: {e}")
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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def test_completion_openai_with_stream():
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try:
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response = completion(model="gpt-3.5-turbo", messages=messages, temperature=0.5, top_p=0.1, n=2, max_tokens=150, presence_penalty=0.5, stream=True, frequency_penalty=-0.5, logit_bias={27000: 5}, user="ishaan_dev@berri.ai")
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# Add any assertions here to check the response
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print(response)
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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def test_completion_openai_with_functions():
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function1 = [
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{
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"name": "get_current_weather",
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"description": "Get the current weather in a given location",
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"parameters": {
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"type": "object",
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"properties": {
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"location": {
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"type": "string",
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"description": "The city and state, e.g. San Francisco, CA"
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},
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"unit": {
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"type": "string",
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"enum": ["celsius", "fahrenheit"]
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}
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},
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"required": ["location"]
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}
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}
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]
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try:
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response = completion(model="gpt-3.5-turbo", messages=messages, functions=function1)
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# Add any assertions here to check the response
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print(response)
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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def test_completion_azure():
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try:
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response = completion(model="gpt-3.5-turbo", deployment_id="chatgpt-test", messages=messages, custom_llm_provider="azure")
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# Add any assertions here to check the response
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print(response)
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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# Replicate API endpoints are unstable -> throw random CUDA errors -> this means our tests can fail even if our tests weren't incorrect.
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def test_completion_replicate_llama_stream():
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model_name = "replicate/llama-2-70b-chat:2c1608e18606fad2812020dc541930f2d0495ce32eee50074220b87300bc16e1"
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try:
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response = completion(model=model_name, messages=messages, stream=True)
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# Add any assertions here to check the response
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for result in response:
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print(result)
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print(response)
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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def test_completion_replicate_stability_stream():
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model_name = "stability-ai/stablelm-tuned-alpha-7b:c49dae362cbaecd2ceabb5bd34fdb68413c4ff775111fea065d259d577757beb"
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try:
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response = completion(model=model_name, messages=messages, stream=True, custom_llm_provider="replicate")
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# Add any assertions here to check the response
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for chunk in response:
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print(chunk['choices'][0]['delta'])
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print(response)
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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# def test_completion_replicate_stability():
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# model_name = "stability-ai/stablelm-tuned-alpha-7b:c49dae362cbaecd2ceabb5bd34fdb68413c4ff775111fea065d259d577757beb"
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# try:
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# response = completion(model=model_name, messages=messages, custom_llm_provider="replicate")
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# # Add any assertions here to check the response
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# print(response)
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# for result in response:
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# print(result)
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# print(response)
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# except Exception as e:
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# pytest.fail(f"Error occurred: {e}")
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# test_completion_replicate_stability()
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######## Test TogetherAI ########
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def test_completion_together_ai():
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model_name = "togethercomputer/llama-2-70b-chat"
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try:
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response = completion(model=model_name, messages=messages, custom_llm_provider="together_ai")
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# Add any assertions here to check the response
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print(response)
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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def test_petals():
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model_name = "stabilityai/StableBeluga2"
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try:
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response = completion(model=model_name, messages=messages, custom_llm_provider="petals", force_timeout=120)
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# Add any assertions here to check the response
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print(response)
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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# def test_baseten_falcon_7bcompletion():
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# model_name = "qvv0xeq"
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# try:
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# response = completion(model=model_name, messages=messages, custom_llm_provider="baseten")
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# # Add any assertions here to check the response
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# print(response)
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# except Exception as e:
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# pytest.fail(f"Error occurred: {e}")
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# test_baseten_falcon_7bcompletion()
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# def test_baseten_falcon_7bcompletion_withbase():
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# model_name = "qvv0xeq"
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# litellm.api_base = "https://app.baseten.co"
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# try:
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# response = completion(model=model_name, messages=messages)
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# # Add any assertions here to check the response
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# print(response)
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# except Exception as e:
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# pytest.fail(f"Error occurred: {e}")
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# litellm.api_base = None
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# test_baseten_falcon_7bcompletion_withbase()
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# def test_baseten_wizardLMcompletion_withbase():
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# model_name = "q841o8w"
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# litellm.api_base = "https://app.baseten.co"
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# try:
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# response = completion(model=model_name, messages=messages)
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# # Add any assertions here to check the response
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# print(response)
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# except Exception as e:
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# pytest.fail(f"Error occurred: {e}")
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# test_baseten_wizardLMcompletion_withbase()
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# def test_baseten_mosaic_ML_completion_withbase():
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# model_name = "31dxrj3"
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# litellm.api_base = "https://app.baseten.co"
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# try:
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# response = completion(model=model_name, messages=messages)
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# # Add any assertions here to check the response
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# print(response)
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# except Exception as e:
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# pytest.fail(f"Error occurred: {e}")
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#### Test A121 ###################
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# def test_completion_ai21():
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# model_name = "j2-light"
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# try:
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# response = completion(model=model_name, messages=messages)
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# # Add any assertions here to check the response
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# print(response)
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# except Exception as e:
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# pytest.fail(f"Error occurred: {e}")
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# test config file with completion #
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# def test_completion_openai_config():
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# try:
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# litellm.config_path = "../config.json"
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# litellm.set_verbose = True
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# response = litellm.config_completion(messages=messages)
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# # Add any assertions here to check the response
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# print(response)
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# litellm.config_path = None
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# except Exception as e:
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# pytest.fail(f"Error occurred: {e}")
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# import asyncio
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# def test_completion_together_ai_stream():
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# try:
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# response = completion(model="togethercomputer/llama-2-70b-chat", messages=messages, custom_llm_provider="together_ai", stream=True, max_tokens=200)
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# print(response)
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# asyncio.run(get_response(response))
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# # print(string_response)
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# except Exception as e:
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# pytest.fail(f"Error occurred: {e}")
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# async def get_response(generator):
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# async for elem in generator:
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# print(elem)
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# return
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