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fix(utils.py): stream_options fix

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Krrish Dholakia 2024-07-03 19:57:34 -07:00
parent 344268e053
commit 8dbe0559dd
2 changed files with 6 additions and 6 deletions
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2
litellm/proxy/_super_secret_config.yaml
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@ -1,7 +1,7 @@
model_list: model_list:
- model_name: claude-3-5-sonnet - model_name: claude-3-5-sonnet
litellm_params: litellm_params:
model: anthropic/claude-3-5-sonnet model: claude-3-haiku-20240307
# - model_name: gemini-1.5-flash-gemini # - model_name: gemini-1.5-flash-gemini
# litellm_params: # litellm_params:
# model: vertex_ai_beta/gemini-1.5-flash # model: vertex_ai_beta/gemini-1.5-flash

10
litellm/utils.py
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@ -8786,11 +8786,11 @@ class CustomStreamWrapper:
# return this for all models # return this for all models
completion_obj = {"content": ""} completion_obj = {"content": ""}
if self.custom_llm_provider and self.custom_llm_provider == "anthropic": if self.custom_llm_provider and self.custom_llm_provider == "anthropic":
from litellm.types.llms.bedrock import GenericStreamingChunk from litellm.types.utils import GenericStreamingChunk as GChunk
if self.received_finish_reason is not None: if self.received_finish_reason is not None:
raise StopIteration raise StopIteration
response_obj: GenericStreamingChunk = chunk response_obj: GChunk = chunk
completion_obj["content"] = response_obj["text"] completion_obj["content"] = response_obj["text"]
if response_obj["is_finished"]: if response_obj["is_finished"]:
self.received_finish_reason = response_obj["finish_reason"] self.received_finish_reason = response_obj["finish_reason"]
@ -8802,9 +8802,9 @@ class CustomStreamWrapper:
): ):
self.sent_stream_usage = True self.sent_stream_usage = True
model_response.usage = litellm.Usage( model_response.usage = litellm.Usage(
prompt_tokens=response_obj["usage"]["inputTokens"], prompt_tokens=response_obj["usage"]["prompt_tokens"],
completion_tokens=response_obj["usage"]["outputTokens"], completion_tokens=response_obj["usage"]["completion_tokens"],
total_tokens=response_obj["usage"]["totalTokens"], total_tokens=response_obj["usage"]["total_tokens"],
) )
if "tool_use" in response_obj and response_obj["tool_use"] is not None: if "tool_use" in response_obj and response_obj["tool_use"] is not None: