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(fix) hf calculating usage non blocking

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This commit is contained in:
ishaan-jaff 2023-11-03 17:59:34 -07:00
parent 4e1885734a
commit df57e9247a
1 changed files with 16 additions and 6 deletions
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22
litellm/llms/huggingface_restapi.py
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@ -333,15 +333,25 @@ def completion(
"content"
] = completion_response[0]["generated_text"]
## CALCULATING USAGE
prompt_tokens = len(
encoding.encode(input_text)
) ##[TODO] use the llama2 tokenizer here
prompt_tokens = 0
try:
prompt_tokens = len(
encoding.encode(input_text)
) ##[TODO] use the llama2 tokenizer here
except:
# this should remain non blocking we should not block a response returning if calculating usage fails
pass
print_verbose(f'output: {model_response["choices"][0]["message"]}')
output_text = model_response["choices"][0]["message"].get("content", "")
if output_text is not None and len(output_text) > 0:
completion_tokens = len(
encoding.encode(model_response["choices"][0]["message"].get("content", ""))
) ##[TODO] use the llama2 tokenizer here
completion_tokens = 0
try:
completion_tokens = len(
encoding.encode(model_response["choices"][0]["message"].get("content", ""))
) ##[TODO] use the llama2 tokenizer here
except:
# this should remain non blocking we should not block a response returning if calculating usage fails
pass
else:
completion_tokens = 0