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https://github.com/BerriAI/litellm.git
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fixing claude max token testing
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parent
dd61a5b35e
commit
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5 changed files with 17 additions and 8 deletions
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@ -60,6 +60,8 @@ def completion(
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prompt += f"{AnthropicConstants.HUMAN_PROMPT.value}{message['content']}"
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prompt += f"{AnthropicConstants.HUMAN_PROMPT.value}{message['content']}"
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prompt += f"{AnthropicConstants.AI_PROMPT.value}"
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prompt += f"{AnthropicConstants.AI_PROMPT.value}"
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max_tokens_to_sample = optional_params.get("max_tokens_to_sample", 256) # required anthropic param, default to 256 if user does not provide an input
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max_tokens_to_sample = optional_params.get("max_tokens_to_sample", 256) # required anthropic param, default to 256 if user does not provide an input
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if max_tokens_to_sample != 256: # not default - print for testing
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print_verbose(f"LiteLLM.Anthropic: Max Tokens Set")
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data = {
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data = {
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"model": model,
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"model": model,
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"prompt": prompt,
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"prompt": prompt,
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@ -3,7 +3,7 @@ import traceback
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from dotenv import load_dotenv
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from dotenv import load_dotenv
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load_dotenv()
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load_dotenv()
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import os
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import os, io
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sys.path.insert(
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sys.path.insert(
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0, os.path.abspath("../..")
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0, os.path.abspath("../..")
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@ -51,6 +51,11 @@ def test_completion_claude():
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def test_completion_claude_max_tokens():
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def test_completion_claude_max_tokens():
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try:
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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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# test setting max tokens for claude-2
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user_message = "tell me everything about YC - be verbose"
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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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messages = [{"content": user_message, "role": "user"}]
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@ -58,15 +63,17 @@ def test_completion_claude_max_tokens():
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response = completion(
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response = completion(
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model="claude-instant-1", messages=messages, max_tokens=1200
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model="claude-instant-1", messages=messages, max_tokens=1200
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)
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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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# Add any assertions here to check the response
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print(response)
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if "LiteLLM.Anthropic: Max Tokens Set" not in output:
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text_response = response['choices'][0]['message']['content']
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raise Exception("Required log message not found!")
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print(len(text_response))
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print(f"response: {response}")
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assert(len(text_response) > 2000)
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litellm.set_verbose = False
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print(response.response_ms)
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except Exception as e:
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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pytest.fail(f"Error occurred: {e}")
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# test_completion_claude_max_tokens()
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test_completion_claude_max_tokens()
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# def test_completion_oobabooga():
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# def test_completion_oobabooga():
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# try:
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# try:
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@ -1,6 +1,6 @@
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[tool.poetry]
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[tool.poetry]
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name = "litellm"
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name = "litellm"
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version = "0.1.792"
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version = "0.1.793"
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description = "Library to easily interface with LLM API providers"
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description = "Library to easily interface with LLM API providers"
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authors = ["BerriAI"]
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authors = ["BerriAI"]
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license = "MIT License"
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license = "MIT License"
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