openai[patch]: add usage metadata details (#27080)

This commit is contained in:
Bagatur
2024-10-03 14:01:03 -07:00
committed by GitHub
parent 546dc44da5
commit c09da53978
2 changed files with 91 additions and 17 deletions

View File

@@ -63,7 +63,11 @@ from langchain_core.messages import (
ToolMessage,
ToolMessageChunk,
)
from langchain_core.messages.ai import UsageMetadata
from langchain_core.messages.ai import (
InputTokenDetails,
OutputTokenDetails,
UsageMetadata,
)
from langchain_core.messages.tool import tool_call_chunk
from langchain_core.output_parsers import JsonOutputParser, PydanticOutputParser
from langchain_core.output_parsers.openai_tools import (
@@ -286,16 +290,10 @@ def _convert_chunk_to_generation_chunk(
) -> Optional[ChatGenerationChunk]:
token_usage = chunk.get("usage")
choices = chunk.get("choices", [])
usage_metadata: Optional[UsageMetadata] = (
UsageMetadata(
input_tokens=token_usage.get("prompt_tokens", 0),
output_tokens=token_usage.get("completion_tokens", 0),
total_tokens=token_usage.get("total_tokens", 0),
)
if token_usage
else None
)
usage_metadata: Optional[UsageMetadata] = (
_create_usage_metadata(token_usage) if token_usage else None
)
if len(choices) == 0:
# logprobs is implicitly None
generation_chunk = ChatGenerationChunk(
@@ -721,15 +719,11 @@ class BaseChatOpenAI(BaseChatModel):
if response_dict.get("error"):
raise ValueError(response_dict.get("error"))
token_usage = response_dict.get("usage", {})
token_usage = response_dict.get("usage")
for res in response_dict["choices"]:
message = _convert_dict_to_message(res["message"])
if token_usage and isinstance(message, AIMessage):
message.usage_metadata = {
"input_tokens": token_usage.get("prompt_tokens", 0),
"output_tokens": token_usage.get("completion_tokens", 0),
"total_tokens": token_usage.get("total_tokens", 0),
}
message.usage_metadata = _create_usage_metadata(token_usage)
generation_info = generation_info or {}
generation_info["finish_reason"] = (
res.get("finish_reason")
@@ -2160,3 +2154,34 @@ class OpenAIRefusalError(Exception):
.. versionadded:: 0.1.21
"""
def _create_usage_metadata(oai_token_usage: dict) -> UsageMetadata:
input_tokens = oai_token_usage.get("prompt_tokens", 0)
output_tokens = oai_token_usage.get("completion_tokens", 0)
total_tokens = oai_token_usage.get("total_tokens", input_tokens + output_tokens)
input_token_details: dict = {
"audio": oai_token_usage.get("prompt_tokens_details", {}).get("audio_tokens"),
"cache_read": oai_token_usage.get("prompt_tokens_details", {}).get(
"cached_tokens"
),
}
output_token_details: dict = {
"audio": oai_token_usage.get("completion_tokens_details", {}).get(
"audio_tokens"
),
"reasoning": oai_token_usage.get("completion_tokens_details", {}).get(
"reasoning_tokens"
),
}
return UsageMetadata(
input_tokens=input_tokens,
output_tokens=output_tokens,
total_tokens=total_tokens,
input_token_details=InputTokenDetails(
**{k: v for k, v in input_token_details.items() if v is not None}
),
output_token_details=OutputTokenDetails(
**{k: v for k, v in output_token_details.items() if v is not None}
),
)