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track vertex ai usage

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ishaan-jaff 2023-09-22 20:43:03 -07:00
parent e1d0c6096c
commit cd91312252
1 changed files with 26 additions and 0 deletions
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26
litellm/main.py
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@ -784,6 +784,19 @@ def completion(
model_response["choices"][0]["message"]["content"] = str(completion_response) model_response["choices"][0]["message"]["content"] = str(completion_response)
model_response["created"] = time.time() model_response["created"] = time.time()
model_response["model"] = model model_response["model"] = model
## CALCULATING USAGE
prompt_tokens = len(
encoding.encode(prompt)
)
completion_tokens = len(
encoding.encode(model_response["choices"][0]["message"]["content"])
)
model_response["usage"] = {
"prompt_tokens": prompt_tokens,
"completion_tokens": completion_tokens,
"total_tokens": prompt_tokens + completion_tokens,
}
response = model_response response = model_response
elif model in litellm.vertex_text_models or model in litellm.vertex_code_text_models: elif model in litellm.vertex_text_models or model in litellm.vertex_code_text_models:
try: try:
@ -823,6 +836,19 @@ def completion(
model_response["choices"][0]["message"]["content"] = str(completion_response) model_response["choices"][0]["message"]["content"] = str(completion_response)
model_response["created"] = time.time() model_response["created"] = time.time()
model_response["model"] = model model_response["model"] = model
## CALCULATING USAGE
prompt_tokens = len(
encoding.encode(prompt)
)
completion_tokens = len(
encoding.encode(model_response["choices"][0]["message"]["content"])
)
model_response["usage"] = {
"prompt_tokens": prompt_tokens,
"completion_tokens": completion_tokens,
"total_tokens": prompt_tokens + completion_tokens,
}
response = model_response response = model_response
elif model in litellm.ai21_models: elif model in litellm.ai21_models:
custom_llm_provider = "ai21" custom_llm_provider = "ai21"