forked from phoenix/litellm-mirror
test: handle anthropic api instability
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1 changed files with 56 additions and 61 deletions
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@ -47,70 +47,65 @@ def _usage_format_tests(usage: litellm.Usage):
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],
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)
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def test_prompt_caching_model(model):
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for _ in range(2):
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response = litellm.completion(
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model=model,
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messages=[
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# System Message
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{
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"role": "system",
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"content": [
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{
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"type": "text",
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"text": "Here is the full text of a complex legal agreement"
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* 400,
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"cache_control": {"type": "ephemeral"},
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}
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],
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},
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# marked for caching with the cache_control parameter, so that this checkpoint can read from the previous cache.
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": "What are the key terms and conditions in this agreement?",
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"cache_control": {"type": "ephemeral"},
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}
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],
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},
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{
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"role": "assistant",
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"content": "Certainly! the key terms and conditions are the following: the contract is 1 year long for $10/mo",
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},
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# The final turn is marked with cache-control, for continuing in followups.
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": "What are the key terms and conditions in this agreement?",
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"cache_control": {"type": "ephemeral"},
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}
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],
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},
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],
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temperature=0.2,
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max_tokens=10,
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)
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try:
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for _ in range(2):
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response = litellm.completion(
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model=model,
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messages=[
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# System Message
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{
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"role": "system",
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"content": [
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{
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"type": "text",
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"text": "Here is the full text of a complex legal agreement"
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* 400,
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"cache_control": {"type": "ephemeral"},
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}
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],
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},
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# marked for caching with the cache_control parameter, so that this checkpoint can read from the previous cache.
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": "What are the key terms and conditions in this agreement?",
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"cache_control": {"type": "ephemeral"},
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}
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],
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},
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{
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"role": "assistant",
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"content": "Certainly! the key terms and conditions are the following: the contract is 1 year long for $10/mo",
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},
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# The final turn is marked with cache-control, for continuing in followups.
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": "What are the key terms and conditions in this agreement?",
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"cache_control": {"type": "ephemeral"},
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}
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],
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},
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],
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temperature=0.2,
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max_tokens=10,
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)
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_usage_format_tests(response.usage)
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print("response=", response)
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print("response.usage=", response.usage)
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_usage_format_tests(response.usage)
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print("response=", response)
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print("response.usage=", response.usage)
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_usage_format_tests(response.usage)
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assert "prompt_tokens_details" in response.usage
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assert response.usage.prompt_tokens_details.cached_tokens > 0
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# assert "cache_read_input_tokens" in response.usage
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# assert "cache_creation_input_tokens" in response.usage
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# # Assert either a cache entry was created or cache was read - changes depending on the anthropic api ttl
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# assert (response.usage.cache_read_input_tokens > 0) or (
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# response.usage.cache_creation_input_tokens > 0
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# )
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assert "prompt_tokens_details" in response.usage
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assert response.usage.prompt_tokens_details.cached_tokens > 0
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except litellm.InternalServerError:
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pass
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def test_supports_prompt_caching():
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