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fix(test_completion.py): fix testing for claude
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1 changed files with 1 additions and 27 deletions
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@ -38,7 +38,7 @@ def test_completion_custom_provider_model_name():
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def test_completion_claude():
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litellm.set_verbose = True
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litellm.anthropic_config(max_tokens_to_sample=200, metadata={"user_id": "1224"})
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litellm.AnthropicConfig(max_tokens_to_sample=200, metadata={"user_id": "1224"})
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try:
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# test without max tokens
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response = completion(
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@ -52,32 +52,6 @@ def test_completion_claude():
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# test_completion_claude()
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def test_completion_claude_max_tokens():
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try:
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litellm.set_verbose = True
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# Redirect stdout
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old_stdout = sys.stdout
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sys.stdout = new_stdout = io.StringIO()
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# test setting max tokens for claude-2
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user_message = "tell me everything about YC - be verbose"
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messages = [{"content": user_message, "role": "user"}]
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litellm.set_verbose = True
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response = completion(
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model="claude-instant-1", messages=messages, max_tokens=1200
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)
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# Restore stdout
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sys.stdout = old_stdout
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output = new_stdout.getvalue().strip()
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# Add any assertions here to check the response
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if "LiteLLM.Anthropic: Max Tokens Set" not in output:
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raise Exception("Required log message not found!")
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print(f"response: {response}")
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litellm.set_verbose = False
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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# test_completion_claude_max_tokens()
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# def test_completion_oobabooga():
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# try:
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# response = completion(
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