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fix t_llm_request is unbounded problem (#657)

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Shuchang Zheng
2024-07-29 13:54:42 -07:00
committed by GitHub
parent 112269ce1d
commit dd188b5f4d
1 changed files with 1 additions and 1 deletions
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2
skyvern/forge/sdk/api/llm/api_handler_factory.py
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@@ -190,12 +190,12 @@ class LLMAPIHandlerFactory:
} }
).encode("utf-8"), ).encode("utf-8"),
) )
t_llm_request = time.perf_counter()
try: try:
# TODO (kerem): add a timeout to this call # TODO (kerem): add a timeout to this call
# TODO (kerem): add a retry mechanism to this call (acompletion_with_retries) # TODO (kerem): add a retry mechanism to this call (acompletion_with_retries)
# TODO (kerem): use litellm fallbacks? https://litellm.vercel.app/docs/tutorials/fallbacks#how-does-completion_with_fallbacks-work # TODO (kerem): use litellm fallbacks? https://litellm.vercel.app/docs/tutorials/fallbacks#how-does-completion_with_fallbacks-work
LOG.info("Calling LLM API", llm_key=llm_key, model=llm_config.model_name) LOG.info("Calling LLM API", llm_key=llm_key, model=llm_config.model_name)
t_llm_request = time.perf_counter()
response = await litellm.acompletion( response = await litellm.acompletion(
model=llm_config.model_name, model=llm_config.model_name,
messages=messages, messages=messages,