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(test) temp comment unstable NLP Cloud API test
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2 changed files with 61 additions and 59 deletions
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@ -32,36 +32,37 @@ def test_completion_with_empty_model():
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print(f"error occurred: {e}")
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print(f"error occurred: {e}")
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pass
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pass
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def test_completion_catch_nlp_exception():
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# def test_completion_catch_nlp_exception():
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try:
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# TEMP commented out NLP cloud API is unstable
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response = completion(model="dolphin", messages=messages, functions=[
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# try:
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{
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# response = completion(model="dolphin", messages=messages, functions=[
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"name": "get_current_weather",
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# {
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"description": "Get the current weather in a given location",
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# "name": "get_current_weather",
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"parameters": {
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# "description": "Get the current weather in a given location",
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"type": "object",
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# "parameters": {
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"properties": {
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# "type": "object",
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"location": {
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# "properties": {
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"type": "string",
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# "location": {
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"description": "The city and state, e.g. San Francisco, CA"
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# "type": "string",
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},
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# "description": "The city and state, e.g. San Francisco, CA"
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"unit": {
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# },
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"type": "string",
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# "unit": {
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"enum": ["celsius", "fahrenheit"]
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# "type": "string",
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}
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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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# "required": ["location"]
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}
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# }
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])
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# }
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# ])
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except Exception as e:
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# except Exception as e:
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if "Function calling is not supported by nlp_cloud" in str(e):
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# if "Function calling is not supported by nlp_cloud" in str(e):
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pass
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# pass
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else:
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# else:
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pytest.fail(f'An error occurred {e}')
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# pytest.fail(f'An error occurred {e}')
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test_completion_catch_nlp_exception()
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# test_completion_catch_nlp_exception()
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def test_completion_invalid_param_cohere():
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def test_completion_invalid_param_cohere():
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try:
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try:
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@ -591,37 +591,38 @@ def test_completion_claude_stream_bad_key():
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# test_completion_vertexai_stream_bad_key()
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# test_completion_vertexai_stream_bad_key()
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def test_completion_replicate_stream():
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# def test_completion_replicate_stream():
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try:
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# TEMP Commented out - replicate throwing an auth error
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litellm.set_verbose = True
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# try:
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messages = [
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# litellm.set_verbose = True
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{"role": "system", "content": "You are a helpful assistant."},
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# messages = [
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{
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# {"role": "system", "content": "You are a helpful assistant."},
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"role": "user",
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# {
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"content": "how does a court case get to the Supreme Court?",
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# "role": "user",
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},
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# "content": "how does a court case get to the Supreme Court?",
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]
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# },
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response = completion(
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# ]
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model="replicate/meta/llama-2-70b-chat:02e509c789964a7ea8736978a43525956ef40397be9033abf9fd2badfe68c9e3", messages=messages, stream=True, max_tokens=50
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# response = completion(
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)
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# model="replicate/meta/llama-2-70b-chat:02e509c789964a7ea8736978a43525956ef40397be9033abf9fd2badfe68c9e3", messages=messages, stream=True, max_tokens=50
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complete_response = ""
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# )
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has_finish_reason = False
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# complete_response = ""
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# Add any assertions here to check the response
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# has_finish_reason = False
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for idx, chunk in enumerate(response):
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# # Add any assertions here to check the response
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chunk, finished = streaming_format_tests(idx, chunk)
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# for idx, chunk in enumerate(response):
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has_finish_reason = finished
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# chunk, finished = streaming_format_tests(idx, chunk)
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if finished:
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# has_finish_reason = finished
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break
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# if finished:
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complete_response += chunk
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# break
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if has_finish_reason is False:
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# complete_response += chunk
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raise Exception("finish reason not set for last chunk")
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# if has_finish_reason is False:
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if complete_response.strip() == "":
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# raise Exception("finish reason not set for last chunk")
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raise Exception("Empty response received")
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# if complete_response.strip() == "":
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print(f"completion_response: {complete_response}")
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# raise Exception("Empty response received")
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except InvalidRequestError as e:
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# print(f"completion_response: {complete_response}")
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pass
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# except InvalidRequestError as e:
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except Exception as e:
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# pass
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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_replicate_stream_bad_key():
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def test_completion_replicate_stream_bad_key():
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try:
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try:
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