forked from phoenix/litellm-mirror
(fix) claude-instant-1 test
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5cb854720f
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2 changed files with 6 additions and 7 deletions
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@ -35,7 +35,9 @@ class AnthropicTextConfig:
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to pass metadata to anthropic, it's {"user_id": "any-relevant-information"}
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to pass metadata to anthropic, it's {"user_id": "any-relevant-information"}
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"""
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"""
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max_tokens: Optional[int] = litellm.max_tokens # anthropic requires a default
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max_tokens_to_sample: Optional[int] = (
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litellm.max_tokens
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) # anthropic requires a default
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stop_sequences: Optional[list] = None
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stop_sequences: Optional[list] = None
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temperature: Optional[int] = None
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temperature: Optional[int] = None
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top_p: Optional[int] = None
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top_p: Optional[int] = None
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@ -44,7 +46,7 @@ class AnthropicTextConfig:
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def __init__(
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def __init__(
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self,
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self,
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max_tokens: Optional[int] = 256, # anthropic requires a default
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max_tokens_to_sample: Optional[int] = 256, # anthropic requires a default
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stop_sequences: Optional[list] = None,
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stop_sequences: Optional[list] = None,
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temperature: Optional[int] = None,
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temperature: Optional[int] = None,
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top_p: Optional[int] = None,
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top_p: Optional[int] = None,
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@ -56,7 +56,7 @@ def test_completion_custom_provider_model_name():
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def test_completion_claude():
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def test_completion_claude():
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litellm.set_verbose = True
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litellm.set_verbose = True
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litellm.cache = None
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litellm.cache = None
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litellm.AnthropicTextConfig(max_tokens=200, metadata={"user_id": "1224"})
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litellm.AnthropicTextConfig(max_tokens_to_sample=200, metadata={"user_id": "1224"})
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messages = [
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messages = [
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{
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{
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"role": "system",
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"role": "system",
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@ -67,10 +67,7 @@ def test_completion_claude():
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try:
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try:
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# test without max tokens
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# test without max tokens
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response = completion(
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response = completion(
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model="claude-instant-1.2",
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model="claude-instant-1", messages=messages, request_timeout=10
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messages=messages,
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request_timeout=10,
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max_tokens=10,
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)
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)
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# Add any assertions, here to check response args
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# Add any assertions, here to check response args
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print(response)
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print(response)
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