litellm-mirror/litellm/tests/test_streaming.py

#### What this tests ####
#    This tests streaming for the completion endpoint

import sys, os
import traceback

sys.path.insert(
    0, os.path.abspath("../..")
)  # Adds the parent directory to the system path
import litellm
from litellm import completion

litellm.set_verbose = False

score = 0


def logger_fn(model_call_object: dict):
    print(f"model call details: {model_call_object}")


user_message = "Hello, how are you?"
messages = [{"content": user_message, "role": "user"}]

# test on anthropic completion call
try:
    response = completion(
        model="claude-instant-1", messages=messages, stream=True, logger_fn=logger_fn
    )
    for chunk in response:
        print(chunk["choices"][0]["delta"])
    score += 1
except:
    print(f"error occurred: {traceback.format_exc()}")
    pass


# test on anthropic completion call
try:
    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",
        stream=True,
        logger_fn=logger_fn,
    )
    for chunk in response:
        print(chunk["choices"][0]["delta"])
    score += 1
except:
    print(f"error occurred: {traceback.format_exc()}")
    pass